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.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+HuatuoGPT_sft_data_v1.json filter=lfs diff=lfs merge=lfs -text

HuatuoGPT_sft_data_v1.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ce3cbd9fa4743214e0064cf5524566e63fc291e5c0f24a5bf36760448a78bf1
+size 358452894

multi_turn_process.py

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