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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/Dialog_Corpus-master/xiaohuangji50w_nofenci.conv/xiaohuangji50w_nofenci.conv").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/xiaohuangji.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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with open(args.output_file, "w", encoding="utf-8") as fout: |
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with open(args.data_file, "r", encoding="utf-8") as fin: |
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conversation = list() |
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for row in fin: |
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splits = str(row).strip().split(maxsplit=1) |
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if len(splits) == 0: |
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continue |
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if len(splits) == 1: |
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if len(conversation) == 0: |
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continue |
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if len(conversation) == 2: |
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conversation[0]["role"] = "human" |
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conversation[1]["role"] = "assistant" |
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row_ = { |
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"conversation": conversation, |
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"category": None, |
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"data_source": "xiaohuangji", |
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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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conversation = list() |
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else: |
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message = splits[1] |
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conversation.append({ |
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"role": "unknown", |
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"message": message, |
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}) |
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return |
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if __name__ == '__main__': |
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main() |
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