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stringlengths 0
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⌀ | yfinance_ticker
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(T2)Simple_Historical_Lookup_501
|
As of the end of December 2024, what was the bank credit of commercial banks in the United States (data from July 18,2025 , seasonally adjusted, answer in billions of dollars, rounded to the nearest integer)?
|
"$17956 billion, rounding errors are allowed."
|
<Question>:
{prompt}
<Reference Answer>:
{response_reference}
<Student Answer>:
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_502
|
As of the end of May 2024, what were the total liabilities of commercial banks in the United States (data from December 27, 2024, Not seasonally adjusted, answer in billions of dollars, rounded to one decimal place)?
|
"$21150.5 billion, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_503
|
In March 2023, what was the interest rate paid on reserve balances raised to by the Federal Reserve?(answer in percentage, rounded to one decimal place)
|
"4.9%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_504
|
In September 2022, what was the federal funds rate? (answer in percentage)
|
3% to 3.25%
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_505
|
In 2023, what was the total amount of aid funds approved by the IMF in the Asia-Pacific region? (answer in Million SDR, rounded to one decimal place)
|
"The results between 6400 million SDR to 6500 million SDR are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_506
|
What was the IMF's Net Total Administrative Budget for the 2022 fiscal year? (answer in millions of dollars, rounded to the nearest integer)
|
"$1214 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_507
|
In 2015, what was the real GDP growth rate (annual percentage change) for the United States? (answer in percentage, rounded to one decimal place)
|
"2.9%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_508
|
What was the real GDP growth rate (annual percentage change) for New Zealand in 2005? (answer in percentage, rounded to one decimal place)
|
"3.2%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_509
|
In 2020, what was the real GDP growth rate (annual percentage change) of Japan?(answer in percentage, rounded to one decimal place)
|
"-4.2%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_510
|
In 2011, what was the real GDP growth rate (annual percentage change) for Tunisia? (answer in percentage, rounded to the nearest integer)
|
"-2%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_511
|
What was Zimbabwe's real GDP growth rate (annual percentage change) in 2021? (answer in percentage, rounded to one decimal place)
|
"8.5%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_512
|
In 2016, what was the unemployment as a percentage of the total labor force in South Korea? (answer in percentage, rounded to one decimal place)
|
"The results within the range of 3.5% to 3.7% are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_513
|
What was the annual inflation rate in Australia in 2022? (answer in percentage, rounded to one decimal place)
|
"6.6%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_514
|
In 2020, what was the GDP per capita of Israel? (answer in dollars, rounded to one decimal place)
|
"$44575.6, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_515
|
In 2019, what was the percentage of foreign direct investment, net inflows in Mexico's GDP? (answer in percentage, rounded to one decimal place).
To calculate the percentage of foreign direct investment, the formula is: $\frac{Foreign Direct Investment Net Inflows}{Nominal GDP}\times100\%$.
|
"2.3%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_516
|
In 2022, what was the proportion of insurance and financial services in Iceland's service exports? (answer in percentage, rounded to the nearest integer)
|
"3%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_517
|
In 2019, what was Indonesia's Claims on central government (annual growth as % of broad money)? (answer in percentage, rounded to one decimal place)
|
"1.6%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_520
|
What was the value of G20 merchandise imports in Q2 2021? (answer in billion dollars, rounded to two decimal places)
|
"The result between $4232 to $4233 billion are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_521
|
What was the value of G20 exports of services in Q4 2023? (data from 23 August 2024,answer in billion dollars, rounded to two decimal places)
|
"$1560.62 billion, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_522
|
In the whole year of 2021, what was the proportion of the Tax on corporate income to GDP in Poland? (answer in percentage, rounded to two decimal places)
|
"2.61%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_523
|
What was the proportion of tax on corporate income to GDP in the UK in 2015? (answer in percentage, rounded to two decimal places)
|
"2.29%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_524
|
In 2008, what was the ratio of net lending to net borrowing of enterprises as a percentage of GDP in Japan? (answer in percentage, rounded to two decimal places)
|
"4.17%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_525
|
In 2019, what was the ratio of net lending or net borrowing by the general government to GDP in Sweden? (answer in percentage, rounded to two decimal places)
|
"0.44%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_526
|
Taking 2020 as the reference year, what was the NNI of the United States in 2006? (2020 = 100, answer rounded to two decimal places)
|
"82.76, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_527
|
Taking 2020 as the reference year, what was the nni of South Africa in 2002? (2020 = 100, rounded to two decimal places)
|
"64.65, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_528
|
What was the number of passenger car registrations in Australia in 2006? (answer in units, rounded to the nearest integer)
|
"4986617, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_529
|
In 2020, what was the number of passenger car registrations in the United States? (answer in units, rounded to the nearest integer)
|
"28348330, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_530
|
In 2008, what was the public unemployment spending as a percentage of GDP in Germany? (answer in percentage, rounded to two decimal places)
|
"1.21%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_532
|
In 2007, what was the proportion of the Tax on personal income to GDP in South Korea? (answer in percentage, rounded to two decimal places)
|
"3.97%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_533
|
In 2008, what was the proportion of Canada's public pension spending to GDP? (answer in percentage, rounded to one decimal place)
|
"4.9%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_534
|
In 2006, what was the amount of private flows in the United States in million dollars (rounded to the nearest integer)?
|
"$92270 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_535
|
Based on current prices, In 2021, what was the GDP per hour worked in the United States (in purchasing - power - parity terms)? (answer in dollars per hour, rounded to two decimal places)
|
"87.01 dollar/hour, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_536
|
In the fiscal year 2022, what was the retain earning of NVIDIA? (answer in million dollars, rounded to the nearest integer)
|
"$16235 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_537
|
In the fiscal year 2022, what was NVIDIA's total deferred tax assets? (answer in million dollars, rounded to the nearest integer)
|
"$1408 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_538
|
In the fiscal year 2022, what was the total operating income of NVIDIA's Graphic? (answer in million dollars, rounded to the nearest integer)
|
"$8492 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_539
|
As of the end of the fiscal year 2022, what was the value of NVIDIA's long-lived assets in Taiwan? (answer in million dollars, rounded to the nearest integer)
|
"$379 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_540
|
In the fiscal year 2022, what was the goodwill of NVIDIA disclosed? (answer in million dollars, rounded to the nearest integer)
|
"$4349 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_541
|
In the fiscal year 2020, what was the Interest expense of Lands' End? (answer in thousand dollars, rounded to the nearest integer)
|
"$27754 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_542
|
As of the end of the fiscal year of 2020, what was the amount of Lands' End's Prepaid expenses and other current assets? (answer in thousand dollars, rounded to the nearest integer)
|
"$40356 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_543
|
What was the Additional paid-in capital of Lands' End as of the end of the fiscal year 2020? (answer in thousand dollars, rounded to the nearest integer)
|
"$369372 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_544
|
What was the Net cash provided by financing activities of SoFi Technologies between July 10, 2020, and December 31, 2020? (answer in dollars, rounded to the nearest integer)
|
"$806,545,938, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_545
|
As of December 31, 2020, what was the ending cash of SoFi Technologies? (answer in dollars, rounded to the nearest integer)
|
"$259,714, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_546
|
Between July 10, 2020, and December 31, 2020, what was the Accrued expenses of SoFi Technologies? (answer in dollars, rounded to the nearest integer)
|
"$178450, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_547
|
As of the end of December 2016, what was the loss before income taxes of Plug Power (answer in thousands of dollars, rounded to the nearest integer)?
|
"-$57879 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_548
|
As of the end of December 2016, what was the long-term debt (1-3 Years) of Plug Power (answer in thousands of dollars, rounded to the nearest integer)?
|
"$20829 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_549
|
In 2016, what were Plug Power's intangible assets, net? (answer in thousands of dollars, rounded to the nearest integer)
|
"$3933 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_550
|
As of September 25, 2016, what was the Total stockholders’ equity of QUALCOMM (answer in millions of dollars, rounded to the nearest integer)?
|
"$31768 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_551
|
As of September 25, 2016, what was the Short-term debt of QUALCOMM (answer in millions of dollars, rounded to the nearest integer)?
|
"The results between $1700 to $1750 million are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_552
|
As of September 25, 2016, what were the total current liabilities of QUALCOMM (in millions of U.S. dollars, rounded to the nearest integer)?
|
"$7311 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_553
|
What was Knightscope's sales and marketing spending as a percentage of total revenue in 2021? (answer in percentage, rounded to the nearest integer)
|
"353%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_554
|
In 2021, what was Knightscope's General and administrative expense as a percentage of revenue? (answer in percentage, rounded to the nearest integer)
|
"143%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_555
|
In 2021, what was Knightscope's Accounts payable? (answer in thousands of dollars, rounded to the nearest integer)
|
"The results between $1510 thousand to $1550 thousand are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_556
|
As of the end of fiscal year 2021, what was the total stockholders' deficit of Knightscope? (answer in thousands of dollars, rounded to the nearest integer)
|
"-$82933 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_557
|
As of the end of December 2019, what was the value of Upstart Holdings' convertible preferred stock (answer in thousands of dollars, rounded to the nearest integer)?
|
"$162546 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_558
|
As of the end of 2020, what was the total amount of Upstart Holdings' Total liabilities, convertible preferred stock and stockholders’ equity (deficit)? (answer in thousands of dollars, rounded to the nearest integer)
|
"$477255 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_560
|
As of December 31, 2020, what was the Contribution Profit of Upstart Holdings? (answer in thousands of dollars, rounded to the nearest integer)
|
"The results between $105,100 thousand to $105,050 thousand are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_561
|
For the fiscal year 2023, what was Planet Labs' Net cash provided by Investing activities? (answer in thousands of dollars, rounded to the nearest integer)
|
"$-242263, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_562
|
What was the deferred rent of Planet Labs for the fiscal year 2022? (answer in thousands of dollars, rounded to the nearest integer)
|
"$798 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_563
|
What was the total gross profit of Planet Labs in fiscal year 2023? (answer in thousands of dollars, rounded to the nearest integer)
|
"$94008 thousand, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_564
|
As of January 30, 2016, what was the number of GameStop stores in Alaska? (rounded to the nearest integer)
|
"7"
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_565
|
As of January 30, 2016, what was the total area of GameStop's manufacturing and distribution facilities in Grapevine, Texas? (answer in Square Footage, rounded to the nearest integer)
|
"182000 Square Footage, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_566
|
As of January 30, 2016, what was the working capital of GameStop? (answer in millions of dollars, rounded to one decimal place)
|
"$144.4 million, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_567
|
What were total retail trade in the United States in December 2014 (Not Seasonally Adjusted, answer in millions of dollars, rounded to the nearest integer)?
|
"$440,713 million dollar, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_568
|
In February 2015, what was the annual sales volume of finished houses in the United States (data from July 24,2025, Seasonally adjusted, rounded to the nearest integer)?
|
"4970000, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_569
|
What was the U.S. Housing Market Index (HMI) in November 2014? (answer rounded to the nearest integer)
|
"58, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_570
|
In April 2015, what was the CPI of Russia? (base year 2015=100, rounded to two decimal place)
|
"99.03, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_571
|
In June 2015, what was Germany's Ifo Business Climate Index? (data from June 24,2025, rounded to one decimal place)
|
"100.2, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_572
|
On March 8, 2023, what was the U.S. Dollar Index? (rounded to 3 decimal places)
|
"The results between $105.360 to $105.880 are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_574
|
How many kilograms of husked (brown) rice were exported by Brazil in 2023 (answer in kilograms, rounded to the nearest integer)?
|
"The results between 21691200 to 21691400 kg are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_575
|
In 2022, what was the amount of Aviation gasoline - Final energy consumption in Brazil? (answer in thousand metric tons, rounded to the nearest integer)
|
"33 thousand metric tons, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_576
|
In August 2009, what was the unemployment rate of Japan? (answer in percentage, rounded to one decimal place)
|
"The result within the range of 5.3% to 5.5% are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_578
|
In September 2021, what was the Business Inventory in the United States?(answer in billions of dollars, rounded to one decimal place)
|
"2139.1 (in billion of dollars), rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_579
|
In July 2022, what was the value of advance retail and food services sales in the United States? (Data updated: Jul 17, 2025, seasonally Adjusted. answer in billions of dollars, rounded to one decimal place)
|
"$659.5 billions, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_580
|
In April 2025, what was the Disposable personal income in the United States? (answer in billions of dollars, rounded to one decimal place)
|
"$22579.6 billions, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_581
|
On May 22, 2023, what was the US 10-year treasury bond yield?(answer in percentage, rounded to two decimal places)
|
"3.72%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_582
|
On July 3, 2024, what was the US 3-month treasury bond yield? (answer in percentage, rounded to 2 decimal places)
|
"5.47%, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_583
|
On July 4, 2024, what was the closing price of the UK's FTSE 100 Index? (answer in GBP, rounded to two decimal places)
|
"8241.26 GBP, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_584
|
What was the highest price of the Japan 225 Index on November 15, 2024? (answer in JPY, rounded to two decimal places)
|
"39101.64 JPY, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_585
|
What was the closing price of the German DAX index on May 30, 2022? (answer in EUR, rounded to two decimal places)
|
"14575.98 EUR, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_586
|
What was the closing value of the VIX on April 25, 2022? (rounded to two decimal places)
|
"27.02, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_587
|
On November 23, 2020, what was the closing price of Indonesia's IDX30 index? (answer in IDR, rounded to four decimal places)
|
"499.9320 IDR, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_588
|
What was the closing price of the WTI crude oil August contract on January 16, 2025? (answer in USD/Barrel, rounded to two decimal places)
|
"72.65 USD/Barrel, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_589
|
What was the closing price of Chicago corn for the July 2025 contract on December 28, 2024 (answer in Cents/Bushel, rounded to one decimal place)?
|
"464.0 Cents/Bushel, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_590
|
What was the high for the Chicago soybean July 2025 contract on July 26, 2024? (answer in Cents/Bushel, rounded to one decimal place)
|
"1121.0 Cents/Bushel, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_591
|
On June 16, 2025, what was the settlement price of the WTI crude oil July 2025 contract? (answer in USD/Barrel, rounded to 2 decimal places)
|
"71.77 USD/Barrel, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_592
|
On April 4, 2025, what was the price of the US 10-Year T-Note Futures (September 2025 contract)? (unit: =100, rounded to two decimal places)
|
"113.05 or 113‘08‘5’(in futures quote hexadecimal notation), rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_593
|
On June 7, 2023, what was the closing price of the Dow Jones Industrial Average (DJI)? (answer in USD, rounded to two decimal places)
|
"The results within the range of $33664 to $33667 are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_594
|
What was the closing price of LME Copper - 2025 AUG on May 27, 2025? (answer in USD/MT, rounded to 2 decimal places)
|
"9610.25 USD/MT, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_596
|
What was the average LBMA Platinum AM annual price in January 2024? (answer in USD/oz, rounded to two decimal places)
|
"955.74 USD/oz, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_597
|
On 2024 Dec, what was the seasonally adjusted M2 money supply in the United States (answer in billions of dollars, rounded to the nearest integer)?
|
"$21,442 billion, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_598
|
In the third quarter of 2020, what was the Velocity of M2 Money Stock in the United States? (rounded to three decimal places)
|
"1.177, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_599
|
In April 2023, what was the total borrowing amount in millions of dollars from the Federal Reserve? (answer in Millions of dollars, rounded to two decimal places)
|
"The results within the range of 329,660 to 329,662 (in million of dollars) are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_600
|
In December 2021, what were the total Reserves of Depository Institutions in the United States? (answer in billions of dollars, rounded to one decimal place)
|
"$4187.9 billions, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_601
|
On July 15, 2022, what was the 6-Month Treasury Bill Secondary Market Rate? (answer in percentage, rounded to two decimal places)
|
"The results between 2.80% to 2.90% are considered correct."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_602
|
In 2015, what was the nuclear power capacity in developed economies in the Announced Pledges Scenario (answer in gigawatts, rounded to one decimal place)?
|
"317.4 Gwh, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_603
|
What were the sales of pure electric cars in Europe in 2022? (answer in million of vehicles, rounded to one decimal place)
|
"1.6 million units, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_604
|
In 2023, what was the total natural gas supply of Egypt (answer in TJ, rounded to the nearest integer)?
|
"2169248 TJ, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_605
|
In 2023, what was the total petroleum supply in the United States (answer in trillion joules, rounded to the nearest integer)?
|
"31889337 TJ, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_606
|
In 2020, what was the total coal supply in Israel? (answer in terajoules, rounded to one decimal place)
|
"188864.0 TJ, rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
(T2)Simple_Historical_Lookup_607
|
What was the total annual revenue of Facebook as of December 31, 2019?(answer in Millions of dollars, rounded to nearest integer)
|
"$70697 million , rounding errors are allowed."
|
<Question>：
{prompt}
<Reference Answer>：
{response_reference}
<Student Answer>：
{response}
|
You are an intelligent judge and scorer for answers to financial questions. You will receive a <Question>, its <Reference Answer>, and a <Student Answer>. Some <Reference Answer>s may be supplemented with "Scoring Criteria". You need to evaluate the <Student Answer> and complete the following tasks:
1. Based on the content of the <Student Answer>, accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the <Student Answer> or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," etc. If the <Student Answer> is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.
2. Separately list the final answer from the <Reference Answer> and the final answer you identified from the <Student Answer>, and compare the two (no need to output the listing and comparison process or results).
3. Based on the result of the comparison and any Scoring Criteria that may be provided with the <Reference Answer>, judge whether the <Student Answer> is correct and assign a score. The score can only be 1 or 0; 1 indicates the <Student Answer> is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.
**Notes:**
1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.
2. The <Reference Answer> is accurate and correct. You can fully trust it.
3. If the <Reference Answer> contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the <Student Answer> can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.
4. If the <Student Answer> is empty or an abnormal error message, please assign a score of 0.
5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the <Reference Answer> and the <Student Answer> use different formats but the underlying numbers represent the same value, they are considered consistent.
6. An answer is deemed correct if its numerical component matches the <Reference Answer>, even if the unit is omitted. For example, if the <Question> asks for "xx revenue in billions of yuan", a <Student Answer> of "12.98" is a valid match for the <Reference Answer> "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the <Reference Answer> is "12.98%", a <Student Answer> of "12.98" is also a valid match.
**Regarding your output format:**
You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:
- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)
- JSON:
```
{"answer_score": your score}
```
###
**Example 1**
<Question>:
What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)
<Reference Answer>:
27.9 years
Scoring Criteria:
The number in the Student Answer must be strictly identical to the number in the Reference Answer.
<Student Answer>:
Based on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:
1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.
2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.
3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.
4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.
5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.
6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.
7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.
8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.
9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.
Summing the years:
30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246
Average time:
246 ÷ 9 ≈ 27.3 years
Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.
- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the <Student Answer> is not strictly identical to the number in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 2**
<Question>:
An interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.
<Reference Answer>:
Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province
Scoring Criteria:
The student's answer must list all the provinces from the reference answer and no other provinces.
<Student Answer>:
According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:
1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.
2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.
3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.
4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.
5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.
6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.
7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.
These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.
- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the <Student Answer> lists all the provinces from the <Reference Answer> but also includes provinces not in the <Reference Answer> (Heilongjiang Province, Fujian Province). Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
**Example 3**
<Question>:
How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?
<Reference Answer>:
1, Benu
<Student Answer>:
Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the <Reference Answer>, the meaning is the same. Therefore, the <Student Answer> is correct, and the score is 1.
- JSON:
```
{"answer_score": 1}
```
###
**Example 4**
<Question>:
In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?
<Reference Answer>:
It is closest to Kunming, with a difference of about 740 square kilometers.
<Student Answer>:
The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.
- Scoring Basis: This question does not have Scoring Criteria. Here, the <Student Answer> correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the <Reference Answer>. However, the area difference of "1827 square kilometers" given in the <Student Answer> is inconsistent with "about 740 square kilometers" in the <Reference Answer>. Therefore, the <Student Answer> is incorrect, and the score is 0.
- JSON:
```
{"answer_score": 0}
```
###
I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you.
|
Simple_Historical_Lookup(Global)
| null | null | null | null | null | null |
Subsets and Splits
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of entries with a specific label, providing basic filtering but minimal analytical insight.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of records with a specific label, providing basic filtering but minimal analytical insight.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of samples with a specific label, providing basic filtering but minimal analytical insight.