data_process_bq / script /closure_check.py
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import json
import re
import os
input_path = "/root/test/weitiao/data_process_bq/data/train01_hg2chatml_p2r.json"
output_path = "/root/test/weitiao/data_process_bq/data/train01_chatml_p2r_closed.json"
dropped_path = "/root/test/weitiao/data_process_bq/data/train01_chatml_p2r_unclosed.json"
def is_balanced(text: str):
"""检查 text 内部的特殊字符是否成对出现"""
if text.count('*') % 2 != 0:
return False, "unmatched *"
if re.search(r'(?<!\\)"', text):
return False, "unescaped quote"
return True, None
def check_role_format(text: str):
"""检查角色名格式是否正常"""
pattern = r'^[A-Za-z0-9_]+:\s*(["*]|.)'
ok = re.match(pattern, text.strip()) is not None
return ok
def is_valid_message_content(content: str):
# 1. 成对符号检查
ok, reason = is_balanced(content)
if not ok:
return False, reason
# 2. 角色格式检查
if ":" in content:
left = content.split(":", 1)[0]
if re.match(r'^[A-Za-z0-9_]+$', left):
if not check_role_format(content):
return False, "invalid role format"
return True, None
def clean_dataset(input_path, output_path, dropped_path):
with open(input_path, "r", encoding="utf-8") as f:
data = json.load(f)
cleaned = []
dropped = []
for item_idx, item in enumerate(data):
ok = True
reason = ""
# -------- 检查 chosen / rejected message lists --------
for branch in ["chosen", "rejected"]:
if branch not in item:
ok = False
reason = f"missing field: {branch}"
break
for msg_idx, msg in enumerate(item[branch]):
content = msg.get("content", "")
valid, why = is_valid_message_content(content)
if not valid:
ok = False
reason = f"{branch}[{msg_idx}].content: {why}"
break
if not ok:
break
if ok:
cleaned.append(item)
else:
new_item = dict(item)
new_item["drop_reason"] = reason
dropped.append(new_item)
print(f"总共 {len(data)} 条")
print(f"丢弃 {len(dropped)} 条(不闭合或格式异常)")
print(f"保留 {len(cleaned)} 条 → {output_path}")
print(f"丢弃样本写入 → {dropped_path}")
with open(output_path, "w", encoding="utf-8") as f:
json.dump(cleaned, f, indent=2, ensure_ascii=False)
os.makedirs(os.path.dirname(dropped_path), exist_ok=True)
with open(dropped_path, "w", encoding="utf-8") as f:
json.dump(dropped, f, indent=2, ensure_ascii=False)
if __name__ == "__main__":
clean_dataset(input_path, output_path, dropped_path)