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import argparse |
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import json |
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from pathlib import Path |
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import pandas as pd |
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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( |
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"--data_file", |
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default=(project_path / "original_data/Gossiping-Chinese-Corpus-master/data/Gossiping-QA-Dataset-2_0.csv").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/ptt.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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df = pd.read_csv(args.data_file) |
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with open(args.output_file, "w", encoding="utf-8") as fout: |
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for i, row in df.iterrows(): |
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question = row["question"] |
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answer = row["answer"] |
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row = { |
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"conversation": [ |
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{ |
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"role": "human", |
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"message": question, |
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}, |
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{ |
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"role": "assistant", |
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"message": answer, |
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}, |
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], |
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"category": None, |
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"data_source": "ptt", |
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} |
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row = json.dumps(row, ensure_ascii=False) |
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fout.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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