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(T3)Complex_Historical_Investigation_200	According to EIA statistics, what are the highest and lowest carbon dioxide emissions from energy consumption in the UK since 2015? What years do they correspond to? What is the difference between the two? The unit needs to be converted to millions of tons, and the result should be rounded to two decimal places.	Highest point: 450.50 million of tons in 2015; Lowest point: 334.93 million of tons in 2020; Difference: 115.57 million of tons. Scoring criteria: A marginal error of 1% is allowed, but the corresponding years for the highest and lowest points must be 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_201	What was the year-over-year (YoY) percentage growth in U.S. fixed asset investment in 2023 compared to 2022? (Fixed asset investment refers to expenditure on the purchase or construction of long-term tangible assets, such as buildings, machinery, and equipment, used in the production of goods and provision of services.) The percentage growth should be accurate to two decimal places, and any monetary values should be expressed in billions of U.S. dollars.	6.51% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_202	Please sort the average yield to maturity of Japanese one-year treasury bond in each quarter of 2024. (The quarters with higher average returns are in the top)	Fourth quarter>Third quarter>Second quarter>First quarter	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_203	Among all Nasdaq-listed stocks, please help me filter companies with strong historical performance based on the following criteria: 1. Both year-over-year (YoY) revenue growth and YoY net income attributable to shareholders growth are greater than 0% but less than 10% for both 2023 and 2024; 2. As of January 1, 2025, the company’s total market capitalization exceeds USD 1 billion, calculated by summing the market capitalizations of different share classes (i.e., the product of the price and number of shares for each class); 3. From January 1, 2025, to April 30, 2025, the stock outperformed the Nasdaq Index by more than 20%. If any companies meet all of the above criteria, please provide their names and ticker symbols.	1.Check Point Software Technologies Ltd（CHKP） 2.O'Reilly Automotive Inc.(ORLY)	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_205	Within the 2022-2024 fiscal years, which quarter of AMD had the lowest GAAP gross margin? What was it? At the same time, what was Intel's GAAP gross margin for that quarter? Was it the lowest quarterly GAAP gross margin in its 2022-2024 fiscal years?	During fiscal 2022-2024, AMD's lowest GAAP gross margin for a single quarter occurred in 2022Q3 at 42.30%. In the same quarter,Intel's GAAP gross margin was 42.61%, which is not its lowest quarterly gross margin during this period. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_207	What were the opening and closing prices of the S&P/ASX 200 Index (AS51) in Australia on December 18, 2024? What was the percentage change? Please round the answers to two decimal places.	Opening price: 8314.00 AUD Closing price: 8309.40 AUD Percentage change: -0.06% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_208	Among all NASDAQ-listed stocks where the net income attributable to parent company shareholders for the full year 2024 is greater than 50 billion USD, please identify the stock names and ticker symbols of those ranking first and fifth in terms of total revenue (in USD) for 2024.	Ranked first is Amazon, ticker symbol AMZN Ranked fifth is Microsoft, ticker symbol MSFT	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_209	On April 24, 2025 (US time), Google released its first-quarter earnings. On that day, what were the trading volume (in units of 10,000 shares) and the trading value (in US dollars) for Google Class A (GOOGL) stock? Please provide both figures as integers.	Trading volume: 4589 (in units of 10,000 shares) Trading value: $7,341,090,562	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_210	Help me search for the top three stocks in the S&P 500 index with the highest annual growth (unadjusted for splits or dividends) for the entire year of 2024 (from January 1 to December 31). Please rank them in descending order of growth and retain two decimal places for the growth percentages.	VST 257.92% UAL 135.34% GEV 134.95% (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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_211	What is the percentage change (not adjusted for splits or dividends, rounded to two decimal places) of AMD over the ten trading days following the annoucement of NVIDIA's H200 chip (excluding the annoucement day)?	4.47% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_212	In March 2025, Jerome Powell delivered a speech at the University of Chicago Booth School of Business. On that day, what was the difference between the highest and lowest points of the Nasdaq Index? (Round to the nearest whole number)	475 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_213	By how much did Walmart's goodwill increase from the end of fiscal year 2022 to the end of fiscal year 2024 (under US GAAP, in million USD, rounded to the nearest integer)?	increase -901 million usd 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_214	By how much did the Amazon's net cash flow from financing activities increase/decrease in 2024 compared to 2020? (Use US GAAP, in million of USD, and round to the nearest integer.)	Decreased by 10,708 million 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_215	What is the annual growth rate of ExxonMobil's chemicals sales and other operating revenue for each year from 2020 to 2023?	2023: -19.39% 2022: -25.07% 2021: 59.62% 2020: -15.78%	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_216	Excuse me, on December 31, 2024, among the three indices, the Nasdaq 100 (NDX.GI), the S&P 500 (SPX.GI), and the Dow Jones Industrial Average (DJI.GI), how much higher is the increase (or lower is the decrease) of the index with the highest increase (or the lowest decrease) than that of the index with the lowest increase (or the highest decrease)? Round the result to two decimal places.	0.80%. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_217	During the period from January 1, 2023, to March 31, 2023, which constituent stock of the Nasdaq 100 (NDX.GI) had the highest average daily trading volume (in tens of thousands of shares, rounded to two decimal places)?	TSLA Tesla 17,477.42 ten thousand of shares. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_218	Please find the component stock of the Dow Jones Industrial Average with a market capitalization (calculated as the sum of share prices in each market multiplied by the corresponding number of shares in that market) exceeding $1,000 billion as of the close on March 31, 2025, and having the highest PE-TTM (with the benchmark date being the report closing date). Please output the stock name and PE-TTM, rounded to two decimal places.	Nvidia, PE-TTM of 36.37 (A marginal of error of 0.1 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_219	Among companies with a total market capitalization exceeding USD 10 billion on January 6, 2025 (calculated by summing the market capitalizations of different share classes, i.e., the product of the price and number of shares for each class), identify the stocks with the highest annual return relative to the Nasdaq Composite Index for each of the years 2022, 2023, and 2024.	22：Vaxcyte 23：Affirm Holdings 24：Applovin	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_220	What was Pfizer's turnover rate on the day it agreed to pay approximately $60 million to settle false claims allegations?Answer in percentage，rounded to two decimal places.	The turnover rate was 0.55%. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_221	What is the year-over-year growth rate (%) of Oracle's total assets for each fiscal year from 2020 to 2023 (using U.S. GAAP, rounded to two decimal places)?	2023: 22.95% 2022: -16.64% 2021: 13.57% 2020: 6.19% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_222	What is the year-over-year change in the proportion of Johnson & Johnson's revenue from international markets (excluding the United States) for each of the past three years (2022–2024)? Please provide the change in percentage points, rounded to two decimal places.	Annual change in percentage of revenue for 2022-2024: 2022: -0.88% 2023: -3.37% 2024: -2.09% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_223	What is the highest return on invested capital (TTM) of UnitedHealth in the past five years (from 2020 to 2024)? (Calculated based on quarterly reports , rounded to two decimal places)	22.19% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_224	By how much is Eli Lilly's liability-to-asset ratio higher or lower than Google's liability-to-asset ratio for the 2022-24 fiscal year? (Using US GAAP, retain two decimal places in the calculation)	2022: 48.35% higher; 2023: 53.45% higher; 2024: 54.07%higher 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_225	Analyze the daily closing prices of BTC/USD from for the period from January 1, 2023, to May 20, 2025. Identify and count the instances where the price met both of the following conditions: 1. A consecutive increase for 5 days (i.e., each day's closing price was higher than the previous day's). 2. The total percentage increase over this 5-day period was greater than 20%. For each identified instance, please provide the dates of the 5 consecutive days.	1. 2023/1/10-2023/1/14 2. 2024/2/24-2024/2/28	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_226	Among all NASDAQ stocks, which three companies had the highest market capitalization on their initial public offering (IPO) day among new listings from 2022 to 2024 (based on daily closing prices)?	Arm Holdings plc ADR (ARM), Warner Bros. Discovery(WBD), Ferrovial SE. (FER)	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_227	After the Federal Reserve's first rate hike on March 16, 2022, what was the maximum drawdown of the S&P 500 Index over the following three months (i.e., from March 16 to June 16, 2022)? Please provide the date range during which this maximum drawdown occurred, as well as the drawdown percentage (rounded to two decimal places).	The peak date was March 29, 2022, and the trough date was June 16, 2022. The maximum drawdown was 20.83%. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_228	Excuse me, what is the excess return (without reinstatement) of the stock with the highest increase over the stock with the lowest increase among the "Magnificent 7" in the United States throughout 2023? Keep the result to two decimal places.	190.69%. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_229	What is the highest stock price of Tesla (including intraday price, using unadjusted prices) within the 10 trading days following Trump's victory in the 2024 election (excluding the election day itself)? Please provide the result rounded to two decimal places.	"$358.64. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_230	Which constituent stock of the Nasdaq 100 Index (NDX.GI), with a Price-to-Earnings Trailing Twelve Months (PE-TTM) greater than 0 and less than 20 as of the market close on September 30, 2024, reported the largest operating revenue (consolidated financial statements, in billions of USD) in its 2024 interim report? Please provide the stock name and its operating revenue。Unit: billion USD, rounded to two decimal places。	PDD, 1183.87 billion USD. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_231	What is the percentage change (unweighted) on the day with the highest single-day trading volume for NVIDIA (NVDA) between January 1, 2025, and March 31, 2025? Please provide the result rounded to two decimal places.	-16.97% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_233	Suppose Xiaoming initially has 200,000 shares of Tesla. From April 1st to April 30th, 2025, if the daily trading volume of Tesla is less than 80 million shares, he buys 10,000 shares; if the daily trading volume is more than 120 million shares, he sells 10,000 shares. How many shares of Tesla does Xiaoming have after April 30th?	"70,000 shares"	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_234	Among U.S. ETFs that rose more than 10% on October 1, 2024, select the top three with the highest unadjusted closing prices. List the names of these three ETFs and their respective percentage gains on that day.	1. Direxion Daily CSI 300 China Internet Index Bull 2X Shares: 12.10% 2. Direxion FTSE China Bull 3X ETF: 12.24% 3. GraniteShares Alibaba 2X Long ETF: 12.53%	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_235	Knowing that the Federal Reserve begins tapering on June 1, 2022, what are the S&P 500 (SPX.GI) constituents that have a total market capitalization (calculated by adding up the market capitalizations of the different types of shares on the basis of the market capitalization as of 2022.8.31) greater than the median and are among the top five decliners (without reweighting) during the period from June 1, 2022, to August 31, 2022? If there are two types of shares of the same company, the one with the higher market capitalization is used for calculation.	GOOG Alphabet Inc. (Class C) AMZN Amazon.com, Inc. FTNT Fortinet, Inc. DXCM DexCom, Inc. TSLA Tesla, Inc.	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_236	Based on their 2024 annual reports, what are the top three S&P 500 (SPX.GI) constituent companies by diluted Return on Equity (ROE)? Please list them in descending order, with ROE values rounded to two decimal places.	The Home Depot (1450.48%) Colgate-Palmolive (1362.74%) Verisk Analytics (957.24%) (A margin of error of 1% is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_237	As of April 30, 2025, among the S&P 500 constituents, how many companies have a market capitalization of USD 100 billion or greater, and by how many hundred million shares do the total outstanding shares of the company with the largest market capitalization exceed those of the company with the second-largest market capitalization (rounded to two decimal places)?	There are 97 companies. The first place has 75.03 hundred million more shares than the second place. (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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_238	In March 2025, which constituent stocks were deleted from the UK FTSE 100 index, and which were added? (List by ticker symbol).	Deleted: HL.L（Hargreaves Lansdown） BLND.L（British Land Company) Added: CCEP.L(Coca-Cola Europacific Partners) BAB.L(Babcock International Group)	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_239	For the Nikkei 225 (N225.GI), which months from May 1, 2024, to April 30, 2025, inclusive, had positive monthly returns? (List year and month).	May 2024, June 2024, October 2024, December 2024, April 2025.	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_240	For the Korea Composite Stock Price Index (KOSPI) from 2020 to 2024, in which year was the annual high the greatest, and what was that highest value in points?	2021: 3316.08 points.	<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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b001	2015-2020年，中国全年GDP总量（现价）5年总增速（2020年比2015年）是多少？（百分比，保留整数）	增速为47% 评分要点：学生答案允许和参考答案有±1%的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b002	从2009年到2024年，中国东部、西部、中部、东北地区的城镇非私营单位就业人员平均工资同比增速里，西部地区最快的是哪几年，那一年东部地区和东北地区的增速之差是多少（保留一位小数，需要取国家统计局数据）	西部最快的是2023年，增速之差-2.2%，2015年，0.1%，2013年，-1.1%，2012年，-1.9%，2009年，-2.4%；允许有±0.1%的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b003	2023年1月至2025年4月，中国城市CPI和农村CPI的累计同比有哪几个月不是同时为正或负？哪几个月？	4个月，2025年4月，2024年4月、2024年3月，2024年2月	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b004	Among Tesla, Nvidia, Wells Fargo, Facebook, and Apple, which company had the highest and lowest net profit margin in fy 2021? What were the corresponding values? (Unit: %, rounded to two decimal places)	Highest: Facebook (META PLATFORMS): 33.38% Lowest: Tesla (TESLA): 10.25% Scoring criteria: 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b005	How many percentage points lower was Apple's gross profit margin than Nvidia's each fiscal year from 2021 to 2024? (answer in percentage, rounded to two decimal places.)	2021: 20.57% 2022: 21.62% 2023: 12.80% 2024: 26.51% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b006	Based on the fiscal year 2024 annual report data, rank Tesla, Nvidia, Wells Fargo, Facebook, and Apple by debt-to-asset ratio from highest to lowest, listing the top three companies and their respective values (to two decimal places).	Wells Fargo: 90.62% Apple: 84.40% Tesla: 39.64% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b007	For fiscal years 2021-2024, what multiple was Wells Fargo's net income of Nvidia's net income, respectively? (Round to two decimal places.)	2021: 4.97 2022: 1.35 2023: 4.38 2024: 0.66 Scoring criteria: A marginal error of 0.01 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b008	For each fiscal year from 2021 to 2024, what is Apple's inventory turnover rate as a multiple of Tesla's inventory turnover rate? (Round to two decimal places.)	2021: 4.91 2022: 5.95 2023: 6.35 2024: 4.94 A margin error of 0.01 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b009	For the fiscal years 2021 to 2024, in which year was Tesla's depreciation and amortization as a percentage of its net income the lowest, and what was this percentage (rounded to two decimal places)?	Lowest in 2022: 29.84% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b010	On April 27, 2025, among Merck, TSMC (US-listed), Boeing, IBM, and Goldman Sachs, which company's stock has the largest total market capitalization (calculated in the respective local currency and summed up)? What is the value? (Unit: billion USD, rounded to two decimal places)	TSMC: 856.30 billion USD 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b011	On April 27, 2025, among Merck, TSMC (US stock), Boeing, IBM, and Goldman Sachs Group, which stock had a negative Price-to-Earnings ratio (TTM)? What was its P/E ratio ( rounded to two decimal places)?	Boeing: -11.51 (A margin error of 0.01 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b012	Which stocks among Merck, TSMC (US-listed), Boeing, IBM, and Goldman Sachs had a positive monthly percentage change in April 2025? What are their security names and respective percentage changes (rounded to two decimal places)?	TSMC: 0.42% Boeing: 7.44% Goldman Sachs: 0.23% (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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b013	What is the year-over-year growth rate (%) of Oracle's total assets for each fiscal year from 2020 to 2023 (using U.S. GAAP, rounded to two decimal places)?	2020:6.19% 2021:13.57% 2022:-16.64% 2023:22.95% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b014	In April 2025, what was the highest monthly stock price for Boeing (BA)? Compared to its lowest monthly stock price, what was the percentage increase? (Round the percentage to 2 decimal places; use non-adjusted stock prices.)	$184.53, increased by 43.18% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b015	What is the highest return on invested capital (TTM) of UnitedHealth in the past five years (from 2020 to 2024)? (Calculated based on quarterly reports , rounded to two decimal places)	22.19% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b016	What was the Nasdaq stock with the highest trading value for the week of May 19-23, 2025, and what were its weekly trading value (in billions of USD, to 2 decimal places) and weekly turnover rate (to 2 decimal places)?	Tesla Weekly trading value: 172.67 billion USD Weekly turnover rate: 15.67% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b017	From May 19th to May 23rd, 2025, what was the closing price (unadjusted) of Tesla in the U.S. stock market that week? How much higher/lower was it than that of Amazon? Keep 2 decimal places.	$339.34, which is $138.35 higher than that of Amazon. 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b018	By how many percentage points was the weekly turnover rate of Taiwan Semiconductor Manufacturing Company (TSM) higher or lower than that of Goldman Sachs Group (GS) for the week of May 19 to May 23, 2025? Please round the result to two decimal places.	Lower by 2.56% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b019	Which Nasdaq stock had the largest weekly decline from May 19 to May 23, 2025? What was the exact percentage change? Please retain two decimal places.	NTCL, -68.80% Scoring criteria: 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b020	What is the difference in weekly closing prices (in dollars, unadjusted) for American Airlines (AAL) stock on the weeks of May 12-16, 2025, and May 19-23, 2025? Please round to two decimal places.	$0.67 Scoring criteria: 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b021	三全食品、贵州茅台、寒武纪、中国神华、宁德时代、海航控股几家A股公司里，2024年全年涨幅最高的企业是哪家？对应的数值是多少？（单位%，保留2位小数）	寒武纪，涨幅落在[387.50%,387.60%]区间内即可	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b022	回答一个A股的问题：贵州茅台在2025年1月1日开始的月收盘价是多少？同一时间点宁德时代的收盘价比它低多少元？（不复权计算）保留2位小数	1434.99元，低了1177.99元评分要点：学生答案数字允许0.01的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b023	2025年1月1日至2025年4月30日期间，中国神华A股的最高价和最低价之差是多少？不复权计算，保留2位小数	9.21元评分要点：学生答案数字允许0.01的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b024	2025年4月11日，三全食品、贵州茅台、寒武纪、中国神华、宁德时代、海航控股几家公司里总市值（以第一次上市所在地货币计算各自市值加总）最低的企业是哪家，在2024年的全年涨跌幅是多少？（保留2位小数）	三全食品，-6.60% 评分要点：学生答案数字在[-6.61%,-6.59%]区间内即可	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b025	2025年1月1日至2025年4月30日期间，三全食品、贵州茅台、寒武纪、中国神华、宁德时代、海航控股几家公司里股价震荡幅度（最高价减最低价，不复权，A股）最大的企业是哪家？具体差值是多少？保留两位小数	寒武纪，286.58元评分要点：学生答案数字允许0.05的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b026	How much higher or lower in billions of yuan is the combined volume of the Nasdaq Composite and S&P 500 compared to the combined volume of the CSI 300 and CSI 500? (Based on the USD midpoint exchange rate of 719.38 yuan per 100 USD as of May 16, 2025, with the final result rounded to two decimal places.)	Higher by 8,847,105.72 billion yuan 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b027	2024年全年，在沪深300、科创50和中证500三个指数中，年涨幅最高的指数是哪个，涨幅多大？年最高价相比年最低价上涨的振幅最高的指数是哪个，比例是多少？保留2位小数（请给出xx.xx%的形式）	年涨跌幅最高：科创50 16.07%；年波动率最高：科创50 70.62%；评分要点：学生答案数字允许0.01%的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b028	Among the S&P 500, CSI 300, Hang Seng TECH Index, STAR 50, Nasdaq Index, SSE 50, CSI 1000, and CSI 500, which one will have the second highest total trading volume in 2024? What will that volume be (calculated using the exchange rates as of May 16, 2025: USD mid-rate: 719.38 CNY/100 USD; HKD mid-rate: 92.146 CNY/100 HKD)? The unit should be in the local currency of the index, expressed in trillions, rounded to two decimal places.	Nasdaq: 60.77 trillion USD Scoring criteria: A marginal error of 0.05 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b029	Among the S&P 500, CSI 300, Hang Seng Tech Index, STAR 50, Nasdaq Index, SSE 50, CSI 1000, and CSI 500, in 2024, is the index with the largest trading volume the same as the one with the highest annual turnover rate? Please identify the respective indices that meet the criteria and provide the corresponding data, rounded to two decimal places.	The index with the largest trading volume is the same as the one with the highest annual turnover rate. The index: CSI 1000 Trading volume: 4.72 trillion shares Turnover rate: 492.91% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b030	Which is greater, the full - year increase of the Nasdaq Index in 2024 or the full - year increase of the S&P 500 in 2024? What is the difference, answer in percentage, rounded to two decimal places?	Nasdaq Index Difference: 5.33% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b031	2025年5月1日，菜百股份、老凤祥、周大福、周大生、周六福、周生生的零售足金价（元/克）相同吗？不相同的话，其中最大的是哪一家，为多少克，保留整数	不相同；周大福、周六福、周生生同为最高：1022元/克	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b032	2025年4月1日至30日里，老凤祥的金价有多少天超出1000元？其中最高是多少元？保留整数	共13天，最高：1056元	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b033	2025年5月1日至5月10日里，周大福的金价有多少天低于周六福？	0天，都一致	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b036	During April 2025, did the daily changes (compared to the previous day) in the central parity rates of EUR/RMB, HKD/RMB, and USD/RMB always occur in the same direction (i.e., all rates increasing together or all rates decreasing together)? Among the days when these rates did not move in unison, find the date when the USD/RMB central parity rate experienced its greatest increase. List the three central parity rates (EUR/RMB, HKD/RMB, USD/RMB) for that specific day, rounded to four decimal places.	No, the daily changes did not always occur in the same direction. The USD/RMB central parity rate experienced its greatest increase on April 8th. On that day, the EUR/RMB, HKD/RMB, and USD/RMB central parity rates were 7.9155, 0.9270, and 7.2038, respectively. A marginal error of 0.01 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b037	From January 1, 2025, to May 3, 2025, on the day when the EUR/CNY central parity rate was highest, what was the day-on-day percentage change of the HKD/CNY central parity rate (rounded to two decimal places)?	0.02% 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b038	From January 1, 2025, to May 3, 2025, on the day when the Hong Kong dollar to Chinese yuan central parity rate is at its lowest, calculate the euro to Hong Kong dollar exchange rate on that day based on the euro to Chinese yuan central parity rate (rounded to two decimal places).	8.12 A marginal error of 0.01 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b039	In April 2025, among the three exchange rates, namely the spot exchange rate of US dollars against offshore RMB (USDCNH), the CFETS spot exchange rate of US dollars against RMB, and the central parity rate of US dollars against RMB, which one has the highest maximum value? What is the specific value, rounded to two decimal places?	USDCNH is the highest. The value is 7.43. A marginal error of 0.01 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b040	On January 2nd, 2025, what is the size relationship among the three exchange rates of [Spot exchange rate: US dollar against offshore RMB (USDCNH)], [CFETS: Spot exchange rate: US dollar against RMB], and [Central parity rate: US dollar against RMB]? Provide the values and the ranking respectively. Keep 2 decimal places.	Offshore (7.34) > Onshore (7.30) > Central parity rate (7.19). A marginal error of 0.01 is 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.	Complex_Historical_Investigation(Global)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b041	2025年2月10日这天，螺纹钢2506、铝2506、铜2506、锡2506的每手交易合约价值最高的是哪个？该品种在交易所规定的交易乘数和套保最低保证金率分别是多少？（以收盘价计算每手交易金额）	2025年2月10日，合约价值最高：铜2506，交易乘数：5，套保最低保证金：8%	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b042	2024年1月2日到2024年3月01日之间，玉米2407和玉米淀粉2407的价差最高是多少？是在哪一天？（玉米淀粉减玉米，以收盘价计算，保留整数）	2024年01月31出现最高值：468	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b043	2024年3月1日，铁矿石2406、乙二醇2406和聚丙烯2406，持仓量较昨日上涨比例最多的品种是哪个？该品种当日仓单量有多少？（持仓量以收盘时为准）	乙二醇2406；8,505张	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b044	2024年5月6日到2024年5月10日，棕榈油的注册仓单量峰值有多少吨？峰值这天对应的收盘价是多少（保留整数）？另外这天棕榈2410的持仓量较昨日涨了多少百分比（单位%，小数点后保留2位）？	14000吨（需数字一致）；收盘价7404（需数字一致）；持仓量上涨数字落在[3.37%,3.39%]区间内即可	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b045	2024年5月6日，焦炭2410和焦煤2412的主力合约距离到期日分别还剩多少个交易日？俩品种剩余天数相差几个月（每月按20个交易日计算，小数点保留后两位）	焦炭2410剩余交易日：112天焦煤2412剩余交易日：151天相差1.95个月	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b046	在 2025 年 4 月 1 日至 2025 年 5 月 1 日期间，中证指数公司中国 10 年期国债到期收益率与 30 年期国债到期收益率的差值（30 年期减 10 年期）最大的日期是哪一天？该差值为多少个百分点？保留4位小数	峰值日期：2025-04-24 差值：0.2672% 评分要点：学生答案数字在[0.2670%,0.2674%]区间内即可	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b047	在2025年1月2日至3月31日，根据财政部数据，找出中国 6 个月期国债到期收益率连续上涨（当日收益率高于前一交易日）的最长连续天数，该时间段内收益率从多少上升到多少？是哪几天，收益率保留2位小数	2025年1月3日至9日连续增长5天，从1.01%增长到1.20%。2025年3月5日至11日连续增长5天，从1.52%增长到1.67%。数字允许有0.01%的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b048	根据中证指数公司数据，比较 2025 年 4 月 30 日和 2025 年 5 月 20 日这两天，各期限中国国债到期收益率（6 个月、1 年、10 年、30 年）的变化，哪一期限的收益率波动最大？波动值为多少个百分点？保留四位小数比如波动0.1212%	10年期最大，为0.0699%（5月20日减去4月30日的）评分要点：学生答案数字在[0.0698%,- 0.0700%]区间内即可	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b049	根据中证指数公司数据，在 2025年第一个交易日截至4月30日的中国国债，中国1年期国债、10年期国债和30年期国债这三种债券，与6个月的国债到期收益率是否发生过倒挂，（只考虑其他债券与6个月的收益率比较，1年与10年与30年债券之间互相不必比较，如果某天1年、10年和30年同时和6个月发生倒挂，计为3天）。一共倒挂过多少天？	一共倒挂过58天	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b050	根据中证指数公司数据，计算 2025 年4月（4 月 1 日至 4 月30日）内，6 个月期中国国债到期收益率的每个交易日的环比增长率的平均值，并与 1 年期国债收益率的每个交易日的环比增长率平均值比较，哪个更高？高多少？保留2位小数比如0.22%	1年期的更高，高了0.10%（答出0.09%也算对）	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b051	在 2025 年 4 月 8 日至 2025 年 5 月 27 日期间，300ETF 沽 5 月 3300（代码 10009174.SH）与 300ETF 购 5 月 3300（代码 10009171.SH）的收盘价差值（沽 - 购）最大（绝对值）的日期及对应差值是多少（取绝对值）？保留两位小数	5月14日，0.74 评分要点：学生答案数字允许0.01的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b052	计算 2025 年 5 月（5.01-5.27）和 4 月（4.08-4.30）内，300ETF 沽 5 月 3300 与购 5 月 3300 的日均成交量差值（沽 - 购），比较两月差值的大小及差额（股）。保留两位小数。	4月为4545.12股，5月为1362.81股。差值为3182.31股。评分要点：学生答案数字允许0.01的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b053	在 2025 年 4 月 8 日至 2025 年 5 月 27 日期间，找出 300ETF 沽 5 月执行价为3300合约收盘价连续上涨（必须大于0，等于0不算上涨）的最长天数，对应的起止日期及期间收盘价涨幅百分比。保留2位小数	4月29、30日，涨幅落在[29.62%,29.64%]区间内都算对	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b054	计算 2025 年 4.20-5.10 与 5.11-5.27 期间，300ETF 购 5 月 3300 成交额总和与沽 5 月 3300 成交额总和的比值（购 / 沽，保留两位小数）	18.83，允许±0.01的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T3)Complex_Historical_Investigation_b055	在2025-04-08到2025-05-27期间内，分别找出 300ETF 沽 5 月 3300 和购 5 月为3300 的涨幅最大值分别是多少？对应的日期分别是什么时候。（计算以收盘价为准，涨跌幅化为百分数，保留2位小数，例如10.01%）	购（C）：11.46%(2025-04-09)、沽（P）：25.00%(2025-05-15) 数字允许有0.01%的误差	<题目>： {prompt} <标准答案>： {response_reference} <学生答案>： {response}	你是一个智慧的金融问题答案的判断和评分者。你会收到一道<题目>、该题目的<标准答案>和一个<学生答案>，有些<标准答案>中附有“评分要点”作为补充。你需要对<学生答案>进行判断，完成以下任务： 1. 根据<学生答案>的内容，准确地识别出它的最终答案（只需要识别，不需要输出）。你可以通过分析<学生答案>来识别最终答案的位置和内容，也可以通过检索关键词来识别最终答案的位置和内容，关键词包括但不限于“答案为”“最终结果是”“正确选项是”等。如果<学生答案>为空，即<学生答案>没有任何内容，则直接给0分，并跳过下面的第2步和第3步。 2. 分别列出<标准答案>和你识别出的<学生答案>的最终答案，并将二者进行比对（不需要输出列举和比对的过程或结果）。 3. 根据比对的结果和<标准答案>中可能附有的评分要点，判断<学生答案>是否正确并评分。分数只有1分和0分，1分表示<学生答案>正确，0分表示<学生答案>错误，没有除0和1之外的其他分数。注意： 1. 你不需要也不应该自行回答或解决问题，你的唯一任务是判断并评分。 2. <标准答案>是准确无误的，你可以完全信任它。 3. 如果<标准答案>包含2个或更多个要点，例如一个人名和一个数字，或者一个事物和一个时间，或者并列的多个地点，那么，<学生答案>只有答出了所有的要点并且所有的要点都回答正确才可以得1分，如果只答出或答对了一部分要点，则分数为0分。 4. 如果<学生答案>为空或者异常报错信息，请给0分 5. 相同大小的数值用不同格式来写视为一样的，比如12.45% vs 0.1245，或者120,400,000 vs 120.4 million，或者 2/5 vs 0.4。如果<标准答案>和<学生答案>采用了不同的格式，但背后的数字是一个数值，则认为二者一致。 6. 如果<学生答案>只给了数字没给单位，如果数字一致则不算错。比如<题目>要求回答"xx收入是多少亿元"，<标准答案>是"12.98亿元"，<学生答案>回答"12.98"，视为一致。或者<题目>要求"单位：%"，<标准答案>是"12.98%"，<学生答案>回答"12.98"，视为一致。关于你的输出格式：你需要先输出识别结果，然后给出评分依据和分数。你的输出格式为： - 【评分依据】：（简述你的评分原因，不超过150字或150 tokens） - 【JSON】： ``` {"answer_score": your score} ``` ### 【示例1】 <题目>：在2024年毕业典礼上讲话的C9校长从博士毕业到第一次当某所大学正校长的平均时间是多少年？（用年份计算，结果保留一位小数） <标准答案>： 27.9年评分要点：学生答案中的数字必须与标准答案中的数字严格一致。 <学生答案>：根据已知信息，C9高校现任校长从博士毕业到首次担任正校长的平均时间约为27.3年。以下是具体计算： 1. 北京大学：龚旗煌校长，1992年博士毕业，2022年成为校长，间隔30年。 2. 清华大学：王希勤校长，1996年博士毕业，2022年成为校长，间隔26年。 3. 复旦大学：金力校长，1994年博士毕业，2021年成为校长，间隔27年。 4. 上海交通大学：丁奎岭校长，1990年博士毕业，2021年成为校长，间隔31年。 5. 南京大学：吕建校长，1993年博士毕业，2018年成为校长，间隔25年。 6. 中国科学技术大学：包信和校长，1991年博士毕业，2017年成为校长，间隔26年。 7. 西安交通大学：王树国校长，1986年博士毕业，2014年成为校长，间隔28年。 8. 浙江大学：吴朝晖校长，1993年博士毕业，2015年成为校长，间隔22年。 9. 哈尔滨工业大学：韩杰才校长，1991年博士毕业，2022年成为校长，间隔31年。将以上年份相加： 30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 平均时间： 246 ÷ 9 ≈ 27.3年因此，平均而言，这些校长从博士毕业到首次担任大学正校长的时间约为27.3年。 - 【评分依据】：本题有评分要点，评分要点要求学生答案中的数字必须与标准答案中的数字严格一致。这里<学生答案>中的数字与<标准答案>中的数字并不严格一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例2】 <题目>：美国很有意思的一点是，一个州的政治中心往往不是经济中心，比如加州的首府是知名度相对较低的Sacramento，而不是经济更发达、知名度更高的旧金山或洛杉矶。与此不同的是，中国各省（不算自治区）的省会往往也是该省GDP最高的城市。如果以2022年的GDP为标准，请列出中国各省中，在本省内，GDP最高的城市不是省会城市的省份。 <标准答案>：河北省、辽宁省、江苏省、山东省、广东省评分要点：学生答案必须答出标准答案中的所有省，同时不能出现其他省。 <学生答案>：根据2022年的GDP数据统计，中国各省中（不含自治区），在本省内GDP最高的城市不是省会城市的省份包括： 1. 河北省：GDP最高的城市是唐山市，而省会是石家庄市。 2. 辽宁省：GDP最高的城市是大连市，而省会是沈阳市。 3. 黑龙江省：GDP最高的城市是大庆市，而省会是哈尔滨市。 4. 江苏省：GDP最高的城市是苏州市，而省会是南京市。 5. 福建省：GDP最高的城市是泉州市，而省会是福州市。 6. 山东省：GDP最高的城市是青岛市，而省会是济南市。 7. 广东省：GDP最高的城市是深圳市，而省会是广州市。这些省份的经济重心往往集中在非省会城市，反映了各地区不同的经济发展格局。 - 【评分依据】：本题有评分要点，评分要点要求学生答案必须答出标准答案中的所有省，同时不能出现其他省。这里<学生答案>答出了<标准答案>中的所有省，但出现了<标准答案>中没有的省（黑龙江省、福建省），因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} ``` ### ### 【示例3】 <题目>：目前旧金山米其林三星餐厅中主营亚洲菜的餐厅有几个？餐厅的名字是什么？ <标准答案>： 1个，Benu <学生答案>：在旧金山的米其林三星餐厅中，Benu是主营亚洲风味美食的餐厅。由名厨Corey Lee主理的Benu提供现代化的亚洲风味美食，Corey Lee的创意和技艺在这家餐厅中得到了充分展示，菜肴融合了韩国、中国和其他亚洲国家的元素，具有极高的创新性和精致度。目前查询到的旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了旧金山米其林三星餐厅中主营亚洲菜的餐厅有1家，餐厅的名字是Benu，虽然在语言表述上与<标准答案>不同，但含义一致，因此<学生答案>正确，分数为1分。 - 【JSON】： ``` {"answer_score": 1} `` ### ### 【示例4】 <题目>：斯洛文尼亚以面积算，和我国（大陆省份）哪个省会城市最接近？相差多少平方公里？ <标准答案>：和昆明最接近，相差约740平方公里 <学生答案>：斯洛文尼亚国土总面积为20273平方公里。在中国省会城市中，面积与之最接近的是昆明，面积为2.21万平方公里（22100平方公里）。两者相差：22100-20273=1827平方公里。 - 【评分依据】：本题没有评分要点。这里<学生答案>答出了昆明与斯洛文尼亚面积最接近，与<标准答案>一致，但<学生答案>给出的面积差“1827平方公里”与<标准答案>中的“约740平方公里”不一致，因此<学生答案>错误，分数为0分。 - 【JSON】： ``` {"answer_score": 0} `` ### 我希望你能胜任这个工作，这对我很重要。如果你做的好，我会给你适当的奖励。否则，我可能会惩罚你。以下是正式的问题：	Complex_Historical_Investigation(Greater China)	null	null	null	null	null	null
(T1)Time_Sensitive_Data_Fetching_001	上海金午盘的最新基准价	必答点：上海金SHAU.SGE午盘的最新基准价格（即最新交易日午盘收盘价）精度要求：允许误差范围绝对数值±15	【问题】：{prompt} 【评分标准】： {response_reference} 【实时信息】： {ground_truth} 【学生回复】： {response}	你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。具体规则如下： - 如果学生回复为空，打0分。 - 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"} - "评分标准-必答点"是学生必须至少回答出来的内容。 - 如果学生回复不满足必答点（缺内容）则打0分。 - 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。 - 学生多答其他内容不算错，不扣分。 - 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。 - 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。 - "真实实时信息"是对于题目的用户问题和询问时间的正确回复信息，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。 - 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。 - 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。 - 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。 - 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。注意： - 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。 - 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。以下示例中的时间均为虚构，请勿参考具体数字示例1：【问题】：今天NVDA的股市如何？【评分标准】：必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）精度要求：仅允许四舍五入误差【实时信息】： { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } 【学生回复】：根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。【你的输出】：分析：学生回复是否满足必答点：是；该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；不满足全部要求，最终得0分；分数： {"score":0} 示例2：【问题】：人民币兑美元在岸汇率【评分标准】：必答点：人民币兑美元最新在岸汇率精度要求：答案落在最高价最低价区间即可【实时信息】： { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605", } 【学生回复】：截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。【你的输出】：分析：学生答出了必答点：是；该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。最终分数：{"score":1} 示例3：【问题】：comex黄金最新价格【评分标准】：必答点：comex黄金最新价格精度要求：允许误差范围绝对数值±0.6 【实时信息】： { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } 【学生回复】：根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司【你的输出】：分析：学生答案满足必答点：是；数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。最终分数：{"score":1} 示例4：【问题】：最新苹果股价【评分标准】：必答点：苹果最新股价（即最新收盘价）精度要求：仅允许四舍五入误差【实时信息】： "AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"} 【学生回复】：苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88 【你的输出】：分析：学生答案满足必答点：是；该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。最终分数：{"score":0} ========示例结束，以下是你的任务========	Time-Sensitive_Data_Fetching(Greater China)	SHAU.SGE		{"SHAU___SGE": {"RT_TIME": "195500","RT_LAST": "775.51","RT_DATE": "20250814"}}	2025/8/14	null	null
(T1)Time_Sensitive_Data_Fetching_002	人民币兑美元在岸汇率	必答点：美元兑在岸人民币的最新收盘价格(CEFTS) 只需答对在岸汇率即可，与其他汇率（中间价，离岸汇率等）实时信息中的值不一致不扣分精度要求：在最高价最低价区间基础上扩大范围绝对数值0.05	【问题】：{prompt} 【评分标准】： {response_reference} 【实时信息】： {ground_truth} 【学生回复】： {response}	你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。具体规则如下： - 如果学生回复为空，打0分。 - 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"} - "评分标准-必答点"是学生必须至少回答出来的内容。 - 如果学生回复不满足必答点（缺内容）则打0分。 - 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。 - 学生多答其他内容不算错，不扣分。 - 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。 - 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。 - "真实实时信息"是对于题目的用户问题和询问时间的正确回复信息，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。 - 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。 - 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。 - 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。 - 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。注意： - 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。 - 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。以下示例中的时间均为虚构，请勿参考具体数字示例1：【问题】：今天NVDA的股市如何？【评分标准】：必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）精度要求：仅允许四舍五入误差【实时信息】： { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } 【学生回复】：根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。【你的输出】：分析：学生回复是否满足必答点：是；该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；不满足全部要求，最终得0分；分数： {"score":0} 示例2：【问题】：人民币兑美元在岸汇率【评分标准】：必答点：人民币兑美元最新在岸汇率精度要求：答案落在最高价最低价区间即可【实时信息】： { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605", } 【学生回复】：截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。【你的输出】：分析：学生答出了必答点：是；该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。最终分数：{"score":1} 示例3：【问题】：comex黄金最新价格【评分标准】：必答点：comex黄金最新价格精度要求：允许误差范围绝对数值±0.6 【实时信息】： { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } 【学生回复】：根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司【你的输出】：分析：学生答案满足必答点：是；数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。最终分数：{"score":1} 示例4：【问题】：最新苹果股价【评分标准】：必答点：苹果最新股价（即最新收盘价）精度要求：仅允许四舍五入误差【实时信息】： "AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"} 【学生回复】：苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88 【你的输出】：分析：学生答案满足必答点：是；该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。最终分数：{"score":0} ========示例结束，以下是你的任务========	Time-Sensitive_Data_Fetching(Greater China)	USDCNY.IB	USDCNYC	{"USDCNY___IB":{"RT_TIME":"203309","RT_LAST":"7.173500000000001","RT_DATE":"20250814","RT_HIGH":"7.175400000000001","RT_LOW":"7.167000000000001"}}	2025/8/14	null	null
(T1)Time_Sensitive_Data_Fetching_003	600欧元等于多少在岸人民币	必答点：1. 欧元兑在岸人民币的最新价格(CEFTS) 2. 该价格乘600的数值精度要求：允许误差范围绝对数值±30	【问题】：{prompt} 【评分标准】： {response_reference} 【实时信息】： {ground_truth} 【学生回复】： {response}	你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。具体规则如下： - 如果学生回复为空，打0分。 - 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"} - "评分标准-必答点"是学生必须至少回答出来的内容。 - 如果学生回复不满足必答点（缺内容）则打0分。 - 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。 - 学生多答其他内容不算错，不扣分。 - 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。 - 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。 - "真实实时信息"是对于题目的用户问题和询问时间的正确回复信息，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。 - 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。 - 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。 - 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。 - 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。注意： - 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。 - 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。以下示例中的时间均为虚构，请勿参考具体数字示例1：【问题】：今天NVDA的股市如何？【评分标准】：必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）精度要求：仅允许四舍五入误差【实时信息】： { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } 【学生回复】：根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。【你的输出】：分析：学生回复是否满足必答点：是；该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；不满足全部要求，最终得0分；分数： {"score":0} 示例2：【问题】：人民币兑美元在岸汇率【评分标准】：必答点：人民币兑美元最新在岸汇率精度要求：答案落在最高价最低价区间即可【实时信息】： { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605", } 【学生回复】：截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。【你的输出】：分析：学生答出了必答点：是；该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。最终分数：{"score":1} 示例3：【问题】：comex黄金最新价格【评分标准】：必答点：comex黄金最新价格精度要求：允许误差范围绝对数值±0.6 【实时信息】： { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } 【学生回复】：根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司【你的输出】：分析：学生答案满足必答点：是；数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。最终分数：{"score":1} 示例4：【问题】：最新苹果股价【评分标准】：必答点：苹果最新股价（即最新收盘价）精度要求：仅允许四舍五入误差【实时信息】： "AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"} 【学生回复】：苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88 【你的输出】：分析：学生答案满足必答点：是；该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。最终分数：{"score":0} ========示例结束，以下是你的任务========	Time-Sensitive_Data_Fetching(Greater China)	EURCNY.IB	EURCNYC	{"EURCNY___IB":{"RT_TIME":"203105","RT_LAST":"8.3571","RT_DATE":"20250814","RT_HIGH":"8.4013","RT_LOW":"8.356"}}	2025/8/14	null	null
(T1)Time_Sensitive_Data_Fetching_004	美元兑在岸人民币的最新价格	必答点：美元兑在岸人民币的最新收盘价格(CEFTS) 只需答对在岸汇率即可，与其他汇率（中间价，离岸汇率等）实时信息中的值不一致不扣分精度要求：在最高价最低价区间基础上扩大范围绝对数值0.05	【问题】：{prompt} 【评分标准】： {response_reference} 【实时信息】： {ground_truth} 【学生回复】： {response}	你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。具体规则如下： - 如果学生回复为空，打0分。 - 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"} - "评分标准-必答点"是学生必须至少回答出来的内容。 - 如果学生回复不满足必答点（缺内容）则打0分。 - 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。 - 学生多答其他内容不算错，不扣分。 - 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。 - 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。 - "真实实时信息"是对于题目的用户问题和询问时间的正确回复信息，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。 - 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。 - 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。 - 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。 - 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。注意： - 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。 - 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。以下示例中的时间均为虚构，请勿参考具体数字示例1：【问题】：今天NVDA的股市如何？【评分标准】：必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）精度要求：仅允许四舍五入误差【实时信息】： { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } 【学生回复】：根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。【你的输出】：分析：学生回复是否满足必答点：是；该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；不满足全部要求，最终得0分；分数： {"score":0} 示例2：【问题】：人民币兑美元在岸汇率【评分标准】：必答点：人民币兑美元最新在岸汇率精度要求：答案落在最高价最低价区间即可【实时信息】： { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605", } 【学生回复】：截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。【你的输出】：分析：学生答出了必答点：是；该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。最终分数：{"score":1} 示例3：【问题】：comex黄金最新价格【评分标准】：必答点：comex黄金最新价格精度要求：允许误差范围绝对数值±0.6 【实时信息】： { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } 【学生回复】：根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司【你的输出】：分析：学生答案满足必答点：是；数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。最终分数：{"score":1} 示例4：【问题】：最新苹果股价【评分标准】：必答点：苹果最新股价（即最新收盘价）精度要求：仅允许四舍五入误差【实时信息】： "AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"} 【学生回复】：苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88 【你的输出】：分析：学生答案满足必答点：是；该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。最终分数：{"score":0} ========示例结束，以下是你的任务========	Time-Sensitive_Data_Fetching(Greater China)	USDCNY.IB	USDCNYC	{"USDCNY___IB":{"RT_TIME":"203309","RT_LAST":"7.173500000000001","RT_DATE":"20250814","RT_HIGH":"7.175400000000001","RT_LOW":"7.167000000000001"}}	2025/8/14	null	null
(T1)Time_Sensitive_Data_Fetching_005	latest NVDA stock price	null	<Question>: {prompt} <Scoring Criteria>: {response_reference} <Real-time Authentic Information>: {ground_truth} <Student Answer>: {response}	You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON. The specific rules are as follows: - If the Student Answer is empty, score 0. - If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`. - The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x." - The "Real-time Authentic Information" is the correct response information for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not. - If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1. - If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0. - If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0. - If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information. Note: - You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.). The following examples use fictional dates and numbers. So do not refer to the specific figures. Example 1: <Question>: How is NVDA's stock market performance today? <Scoring Criteria>: Required Content: NVIDIA's latest opening price, high price, low price, and change percentage. Accuracy Requirements: Only rounding errors are allowed <Real-time Authentic Information>: { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } <Student Answer>: According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%. On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%. <Your Output>: Analysis: Does the student's answer meet the Required Content: Yes; Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%". Not all requirements are met, final score is 0; Final score: {"score":0} Example 2: <Question>: USD/CNY onshore exchange rate <Scoring Criteria>: Required Content: The latest onshore USD/CNY exchange rate Accuracy Requirements: Any answer between the high and low price is considered correct <Real-time Authentic Information>: { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605" } <Student Answer>: As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion. Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day. <Your Output>: Analysis: Did the student answer the Required Content: Yes; Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement. Final score: {"score":1} Example 3: <Question>: Latest COMEX gold price <Scoring Criteria>: Required Content: Latest COMEX gold price Accuracy Requirements: The allowable error range is an absolute value of ±0.6 <Real-time Authentic Information>: { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } <Student Answer>: According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce. <Your Output>: Analysis: Student's answer meets the Required Content: Yes; Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement. Final score: {"score":1} ========End of examples, this is your task========	Time-Sensitive_Data_Fetching(Global)	NVDA.O	105.NVDA.USA	{"NVDA___O":{"RT_TIME":"200000","RT_LAST":"181.59","RT_DATE":"20250813"}}	2025/8/14	Required Content: NVIDIA (NVDA) stock latest price (closing price on the latest trading day) Accuracy Requirements: Only rounding errors are allowed	NVDA
(T1)Time_Sensitive_Data_Fetching_005	恒瑞医药最新一个交易日最高冲到多少	必答点：恒瑞医药最新交易日的最高价精度要求：仅允许四舍五入误差	【问题】：{prompt} 【评分标准】： {response_reference} 【实时信息】： {ground_truth} 【学生回复】： {response}	你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。具体规则如下： - 如果学生回复为空，打0分。 - 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"} - "评分标准-必答点"是学生必须至少回答出来的内容。 - 如果学生回复不满足必答点（缺内容）则打0分。 - 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。 - 学生多答其他内容不算错，不扣分。 - 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。 - 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。 - "真实实时信息"是对于题目的用户问题和询问时间的正确回复信息，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。 - 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。 - 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。 - 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。 - 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。注意： - 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。 - 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。以下示例中的时间均为虚构，请勿参考具体数字示例1：【问题】：今天NVDA的股市如何？【评分标准】：必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）精度要求：仅允许四舍五入误差【实时信息】： { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } 【学生回复】：根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。【你的输出】：分析：学生回复是否满足必答点：是；该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；不满足全部要求，最终得0分；分数： {"score":0} 示例2：【问题】：人民币兑美元在岸汇率【评分标准】：必答点：人民币兑美元最新在岸汇率精度要求：答案落在最高价最低价区间即可【实时信息】： { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605", } 【学生回复】：截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。【你的输出】：分析：学生答出了必答点：是；该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。最终分数：{"score":1} 示例3：【问题】：comex黄金最新价格【评分标准】：必答点：comex黄金最新价格精度要求：允许误差范围绝对数值±0.6 【实时信息】： { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } 【学生回复】：根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司【你的输出】：分析：学生答案满足必答点：是；数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。最终分数：{"score":1} 示例4：【问题】：最新苹果股价【评分标准】：必答点：苹果最新股价（即最新收盘价）精度要求：仅允许四舍五入误差【实时信息】： "AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"} 【学生回复】：苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88 【你的输出】：分析：学生答案满足必答点：是；该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。最终分数：{"score":0} ========示例结束，以下是你的任务========	Time-Sensitive_Data_Fetching(Greater China)	600276.SH	600276.SH	{"600276___SH":{"RT_TIME":"150001","RT_DATE":"20250814","RT_HIGH":"63.6"}}	2025/8/14	null	null
(T1)Time_Sensitive_Data_Fetching_006	latest AAPL stock price	null	<Question>: {prompt} <Scoring Criteria>: {response_reference} <Real-time Authentic Information>: {ground_truth} <Student Answer>: {response}	You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON. The specific rules are as follows: - If the Student Answer is empty, score 0. - If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`. - The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x." - The "Real-time Authentic Information" is the correct response information for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not. - If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1. - If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0. - If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0. - If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information. Note: - You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.). The following examples use fictional dates and numbers. So do not refer to the specific figures. Example 1: <Question>: How is NVDA's stock market performance today? <Scoring Criteria>: Required Content: NVIDIA's latest opening price, high price, low price, and change percentage. Accuracy Requirements: Only rounding errors are allowed <Real-time Authentic Information>: { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } <Student Answer>: According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%. On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%. <Your Output>: Analysis: Does the student's answer meet the Required Content: Yes; Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%". Not all requirements are met, final score is 0; Final score: {"score":0} Example 2: <Question>: USD/CNY onshore exchange rate <Scoring Criteria>: Required Content: The latest onshore USD/CNY exchange rate Accuracy Requirements: Any answer between the high and low price is considered correct <Real-time Authentic Information>: { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605" } <Student Answer>: As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion. Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day. <Your Output>: Analysis: Did the student answer the Required Content: Yes; Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement. Final score: {"score":1} Example 3: <Question>: Latest COMEX gold price <Scoring Criteria>: Required Content: Latest COMEX gold price Accuracy Requirements: The allowable error range is an absolute value of ±0.6 <Real-time Authentic Information>: { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } <Student Answer>: According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce. <Your Output>: Analysis: Student's answer meets the Required Content: Yes; Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement. Final score: {"score":1} ========End of examples, this is your task========	Time-Sensitive_Data_Fetching(Global)	AAPL.O	105.AAPL.USA	{"AAPL___O":{"RT_TIME":"200000","RT_LAST":"233.33","RT_DATE":"20250813"}}	2025/8/14	Required Content: Apple (AAPL.O) stock latest price (the closing price on the latest trading day) Accuracy Requirements: Only rounding errors are allowed	AAPL
(T1)Time_Sensitive_Data_Fetching_006	宁德时代A股的最近一个交易日的收盘价	必答点：宁德时代最近一个交易日的最新价格精度要求：仅允许四舍五入误差	【问题】：{prompt} 【评分标准】： {response_reference} 【实时信息】： {ground_truth} 【学生回复】： {response}	你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。具体规则如下： - 如果学生回复为空，打0分。 - 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"} - "评分标准-必答点"是学生必须至少回答出来的内容。 - 如果学生回复不满足必答点（缺内容）则打0分。 - 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。 - 学生多答其他内容不算错，不扣分。 - 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。 - 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。 - "真实实时信息"是对于题目的用户问题和询问时间的正确回复信息，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。 - 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。 - 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。 - 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。 - 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。注意： - 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。 - 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。以下示例中的时间均为虚构，请勿参考具体数字示例1：【问题】：今天NVDA的股市如何？【评分标准】：必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）精度要求：仅允许四舍五入误差【实时信息】： { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } 【学生回复】：根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。【你的输出】：分析：学生回复是否满足必答点：是；该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；不满足全部要求，最终得0分；分数： {"score":0} 示例2：【问题】：人民币兑美元在岸汇率【评分标准】：必答点：人民币兑美元最新在岸汇率精度要求：答案落在最高价最低价区间即可【实时信息】： { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605", } 【学生回复】：截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。【你的输出】：分析：学生答出了必答点：是；该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。最终分数：{"score":1} 示例3：【问题】：comex黄金最新价格【评分标准】：必答点：comex黄金最新价格精度要求：允许误差范围绝对数值±0.6 【实时信息】： { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } 【学生回复】：根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司【你的输出】：分析：学生答案满足必答点：是；数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。最终分数：{"score":1} 示例4：【问题】：最新苹果股价【评分标准】：必答点：苹果最新股价（即最新收盘价）精度要求：仅允许四舍五入误差【实时信息】： "AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"} 【学生回复】：苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88 【你的输出】：分析：学生答案满足必答点：是；该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。最终分数：{"score":0} ========示例结束，以下是你的任务========	Time-Sensitive_Data_Fetching(Greater China)	300750.SZ	300750.SZ	{"300750___SZ":{"RT_TIME":"153048","RT_LAST":"279.89","RT_DATE":"20250814"}}	2025/8/14	null	null
(T1)Time_Sensitive_Data_Fetching_007	LVMH (MC.PA) stock price latest（Listed in Paris）	null	<Question>: {prompt} <Scoring Criteria>: {response_reference} <Real-time Authentic Information>: {ground_truth} <Student Answer>: {response}	You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON. The specific rules are as follows: - If the Student Answer is empty, score 0. - If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`. - The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x." - The "Real-time Authentic Information" is the correct response information for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not. - If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1. - If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0. - If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0. - If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information. Note: - You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.). The following examples use fictional dates and numbers. So do not refer to the specific figures. Example 1: <Question>: How is NVDA's stock market performance today? <Scoring Criteria>: Required Content: NVIDIA's latest opening price, high price, low price, and change percentage. Accuracy Requirements: Only rounding errors are allowed <Real-time Authentic Information>: { "data": { "symbol": "NVDA", "open": "112.905", "high": "114.665", "low": "112.660", "price": "113.820", "latest_trading_day": "20250426", "previous_close": "114.500", "change": "-0.680", "change_percent": "-0.59%" } } <Student Answer>: According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%. On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%. <Your Output>: Analysis: Does the student's answer meet the Required Content: Yes; Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%". Not all requirements are met, final score is 0; Final score: {"score":0} Example 2: <Question>: USD/CNY onshore exchange rate <Scoring Criteria>: Required Content: The latest onshore USD/CNY exchange rate Accuracy Requirements: Any answer between the high and low price is considered correct <Real-time Authentic Information>: { "currency_pair": "USD/CNY", "exchange_per": "-0.0403", "exchange_range": "-0.0029", "exchange_rate": "7.1871", "exchange_rate_hi": "7.1934", "exchange_rate_lo": "7.1855", "open_exchange_rate": "7.1900", "pre_close_exchange_rate": "7.1900", "trading_date": "20250605" } <Student Answer>: As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion. Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day. <Your Output>: Analysis: Did the student answer the Required Content: Yes; Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement. Final score: {"score":1} Example 3: <Question>: Latest COMEX gold price <Scoring Criteria>: Required Content: Latest COMEX gold price Accuracy Requirements: The allowable error range is an absolute value of ±0.6 <Real-time Authentic Information>: { "res": { "request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")", "code": 0, "data": { "GC.CMX": { "RT_DATE": 20250619, "RT_TIME": 90628, "RT_LAST": 3383.2000 } } } } <Student Answer>: According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce. <Your Output>: Analysis: Student's answer meets the Required Content: Yes; Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement. Final score: {"score":1} ========End of examples, this is your task========	Time-Sensitive_Data_Fetching(Global)	MC.PA		{"MC___PA":{"RT_TIME":"113050","RT_LAST":"463.95000000000005","RT_DATE":"20250814"}}	2025/8/14	Required Content: The latest price of LVMH's stock on the Paris Stock Exchange Accuracy Requirements: Only rounding errors are allowed	MC

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SQL Console for ByteSeedXpert/FinSearchComp

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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.