import json

def generate_labels(choice_count):
    # 根据选项数量生成 A-Z
    return [chr(ord('A') + i) for i in range(choice_count)]

# 将数字答案转换为字母答案
def convert_answer_to_letter(answer):
    return chr(ord('A') + answer)

def transform_json(file_path):
    with open(file_path, 'r', encoding='utf-8') as f:
        data = json.load(f)
    
    new_json=[]

    for i,item in data.items():
        question = item["question"]
        choices = item["choices"]
        answer_index = item["answer"]
        
        new_choices = {
                "text": choices,
                "label": generate_labels(len(choices))
            }
        transformed_answer = convert_answer_to_letter(answer_index)
        
        # 构造新的 JSON 数据
        transformed_data = {
            "question": question,
            "choices":new_choices,
            "answer": f"[ANSWER]{transformed_answer}[/ANSWER]",
            "prompt":"You MUST include the letter(s) of the correct answer (separated by comma if there are many) within the following tags: [ANSWER] and [/ANSWER]. No explanations and other information. Only return the '[ANSWER]<answer>[/ANSWER]'. We require this because we use automatic parsing."

        }
        new_json.append(transformed_data)

    return new_json

input_path = '/home/ubuntu/50T/fsy/benchmark-dataset-third/ALL/ScienceQA-mat-noimage.json'  
output_path = '/home/ubuntu/50T/fsy/benchmark-dataset-third/ALL/11-ScienceQA.json'
transformed_data = transform_json(input_path)

with open(output_path, 'w', encoding='utf-8') as f:
    json.dump(transformed_data, f, ensure_ascii= False, indent=2)