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import argparse |
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import json |
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import os |
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import sys |
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pwd = os.path.abspath(os.path.dirname(__file__)) |
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sys.path.append(os.path.join(pwd, '../../')) |
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from datasets import load_dataset |
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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_path", default="tiansz/ChineseSTS", 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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parser.add_argument( |
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"--output_file", |
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default=(project_path / "data/chinese_sts.jsonl"), |
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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_dict = load_dataset( |
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path=args.dataset_path, |
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cache_dir=args.dataset_cache_dir, |
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) |
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print(dataset_dict) |
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with open(args.output_file, "w", encoding="utf-8") as f: |
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for sample in tqdm(dataset_dict["train"]): |
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text = sample["text"] |
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if text == "句子1\t句子2\t相似度": |
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continue |
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splits = text.split("\t") |
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if len(splits) != 3: |
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raise AssertionError |
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sentence1 = splits[0] |
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sentence2 = splits[1] |
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label = splits[2] |
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label = str(int(float(label))) |
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if sentence1 == sentence2: |
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continue |
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if label not in ("0", "1", None): |
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raise AssertionError |
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row = { |
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"sentence1": sentence1, |
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"sentence2": sentence2, |
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"label": label, |
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"category": None, |
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"data_source": "ChineseSTS", |
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"split": "train" |
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} |
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row = json.dumps(row, ensure_ascii=False) |
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f.write("{}\n".format(row)) |
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return |
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if __name__ == '__main__': |
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main() |
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