Datasets:
ArXiv:
License:
update
Browse files- README.md +41 -0
- examples/amazon_reviews_multi_text_length.jpg +3 -0
- examples/make_subset_details.py +70 -0
- requirements.txt +1 -0
README.md
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@@ -71,6 +71,47 @@ https://opus.nlpl.eu/
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### 参考来源
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<details>
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<summary>参考的数据来源,展开查看</summary>
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### 各数据集文本长度信息
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amazon_reviews_multi
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```text
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语种数量:
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ja: 199797
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en: 199426
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de: 199141
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fr: 198272
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es: 198264
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zh-cn: 196260
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```
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```text
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文本长度:
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10-20: 1369
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20-30: 115334
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30-40: 105600
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40-50: 85175
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50-60: 71594
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60-70: 61376
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70-80: 54223
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80-90: 48242
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90-100: 44592
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100-110: 45839
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110-120: 48721
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120-130: 47604
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130-140: 43195
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140-150: 37601
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150-160: 32483
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160-170: 28876
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170-180: 25260
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180-190: 22971
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190-200: 20743
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200-210: 250362
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```
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### 参考来源
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<details>
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<summary>参考的数据来源,展开查看</summary>
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examples/amazon_reviews_multi_text_length.jpg
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Git LFS Details
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examples/make_subset_details.py
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#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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import argparse
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from collections import Counter
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from datasets import load_dataset, DownloadMode
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import matplotlib.pyplot as plt
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from tqdm import tqdm
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from project_settings import project_path
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def get_args():
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parser = argparse.ArgumentParser()
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parser.add_argument("--dataset_name", default="amazon_reviews_multi", type=str)
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parser.add_argument(
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"--dataset_cache_dir",
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default=(project_path / "hub_datasets").as_posix(),
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type=str
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)
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args = parser.parse_args()
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return args
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def main():
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args = get_args()
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dataset = load_dataset(
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"../language_identification.py",
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name="amazon_reviews_multi",
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split="train",
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cache_dir=args.dataset_cache_dir,
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# download_mode=DownloadMode.FORCE_REDOWNLOAD
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)
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counter1 = Counter()
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counter2 = Counter()
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for sample in tqdm(dataset):
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text = sample["text"]
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language = sample["language"]
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text_length = len(text)
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text_length_round = int(text_length / 10) * 10
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text_length_round = 200 if text_length_round > 200 else text_length_round
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counter1.update([language])
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counter2.update([text_length_round])
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print("语种数量:")
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for k, v in counter1.most_common():
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print("{}: {}".format(k, v))
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print("文本长度:")
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counter2 = list(sorted(counter2.items(), key=lambda x: x[0]))
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x = [item[0] for item in counter2]
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y = [item[1] for item in counter2]
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for k, v in counter2:
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text_length_range = "{}-{}".format(k, k+10)
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print("{}: {}".format(text_length_range, v))
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plt.plot(x, y)
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plt.savefig("{}_text_length.jpg".format(args.dataset_name))
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plt.show()
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return
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if __name__ == "__main__":
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main()
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requirements.txt
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pandas==2.0.3
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xlrd==1.2.0
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openpyxl==3.0.9
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pandas==2.0.3
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xlrd==1.2.0
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openpyxl==3.0.9
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matplotlib==3.7.5
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