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import json
import os
from typing import Dict, Any, List
OPTION_KEYS = ["A", "B", "C", "D", "E", "F"]
def normalize_option(option: Dict[str, Any]) -> Dict[str, str]:
new_option = {}
option = option or {}
for k in OPTION_KEYS:
new_option[k] = str(option.get(k, "")).strip()
return new_option
def normalize_item(item: Dict[str, Any], idx: int) -> Dict[str, Any]:
return {
"id": item.get("id", idx),
"exam_type": item.get("exam_type", ""),
"exam_class": item.get("exam_class", ""),
"exam_subject": item.get("exam_subject", ""),
"question": item.get("question", ""),
"answer": item.get("answer", ""),
"explanation": item.get("explanation", ""),
"question_type": item.get("question_type", ""),
"option": normalize_option(item.get("option")),
}
def clean_json(input_path: str) -> None:
with open(input_path, "r", encoding="utf-8") as f:
data: List[Dict[str, Any]] = json.load(f)
cleaned = []
for idx, item in enumerate(data, start=1):
cleaned.append(normalize_item(item, idx))
base, ext = os.path.splitext(input_path)
output_path = f"{base}-clean{ext}"
with open(output_path, "w", encoding="utf-8") as f:
json.dump(cleaned, f, ensure_ascii=False, indent=2)
print(f"[OK] {output_path} ({len(cleaned)} samples)")
if __name__ == "__main__":
input_files = [
"CMB-Exam/CMB-train/CMB-train-merge.json",
"CMB-Exam/CMB-val/CMB-val-merge.json",
"CMB-Exam/CMB-test/CMB-test-choice-question-merge.json",
]
for path in input_files:
clean_json(path)
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