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''' |
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@Time : 2023-06-19 15:50:00 |
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@Author : 宋昊阳 |
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@Contact : 1627635056@qq.com |
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''' |
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import json |
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from tqdm import tqdm |
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from datasets import load_dataset |
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raw_data = [json.loads(i) for i in tqdm(open("./HuatuoGPT_sft_data_v1.jsonl", 'r', encoding='utf-8').readlines())] |
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def clean_str(string): |
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return string.replace("问：", "").replace("答：", "").strip() |
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data = [] |
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for item in tqdm(raw_data): |
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metadata = {"instruction": "","input": "","output": "","history": []} |
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idx = 0 |
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for seq in item['data'][:-2]: |
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seq = clean_str(seq) |
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metadata['history'].append(seq) |
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metadata['history'] = [metadata['history'][2*i:2*(i+1)] for i in range(len(metadata['history'])//2)] if metadata['history'] else [] |
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metadata["instruction"] = clean_str(item['data'][-2]) |
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metadata["output"] = clean_str(item['data'][-1]) |
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data.append(metadata) |
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json.dump(data, open("HuatuoGPT_sft_data_v1.json", "w", encoding="utf-8"), ensure_ascii=False, indent=4) |
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data = load_dataset("json", data_files="HuatuoGPT_sft_data_v1.json") |
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print(data.column_names['train'], data.num_rows) |
