import json # 加载现有JSON数据 with open('full.json', 'r') as f: data = json.load(f) # 创建新的格式 new_data = [] for item in data['data']: sample_id = str(item['sample_id']).zfill(12) # 格式化为12位数字 source_image = f"" # 源图像占位符 target_image = f"" # 目标图像占位符 instruction = data['metadata']['task_instruction'][item['task_instruction_id']] # 构造新的对话格式 conversation = [ { "from": "human", "value": f"\n\n{instruction}" }, { "from": "gpt", "value": item['response'] } ] # 添加到新数据中 new_data.append({ "id": sample_id, "image": ', '.join(item['task_instance']['images_path']), "conversations": conversation }) # 保存为新的JSON格式 with open('output.json', 'w') as f: json.dump(new_data, f, ensure_ascii=False, indent=2)