scripts/split.py

import json
import os

def process_dataset(input_file, output_file, base_path="."):
    """
    处理数据集，只保留image和conversations字段，添加id字段，转换图像路径为绝对路径
    
    Args:
        input_file: 输入JSON文件路径
        output_file: 输出JSON文件路径  
        base_path: 图像文件的基础路径
    """
    # 读取原始数据
    with open(input_file, 'r', encoding='utf-8') as f:
        input_data = json.load(f)
    
    processed_data = []
    
    for item in input_data:
        # 获取所有图像路径并转换为绝对路径
        absolute_image_paths = []
        for image_path in item["image"]:
            absolute_path = os.path.abspath(os.path.join(base_path, image_path))
            absolute_image_paths.append(absolute_path)
        
        # 提取第一张图像名作为id（不包含扩展名）
        first_image_name = os.path.basename(item["image"][0])
        image_id = os.path.splitext(first_image_name)[0]

        img_len = len(item["image"])

        item["conversations"][0]['value'] = "<image>\n"*img_len + item["conversations"][0]['value']
        
        # 构建新的数据项
        new_item = {
            "id": image_id,
            "image": absolute_image_paths,  # 保存所有图像的绝对路径
            "conversations": item["conversations"]
        }
        
        processed_data.append(new_item)
    
    # 保存处理后的数据
    with open(output_file, 'w', encoding='utf-8') as f:
        json.dump(processed_data, f, indent=2, ensure_ascii=False)
    
    print(f"处理完成！共处理 {len(processed_data)} 条数据")
    print(f"输出文件：{output_file}")

def process_data_directly(input_data, base_path="."):
    """
    直接处理数据列表（如果数据已经在内存中）
    
    Args:
        input_data: 原始数据列表
        base_path: 图像文件的基础路径
    
    Returns:
        处理后的数据列表
    """
    processed_data = []
    
    for item in input_data:
        # 获取图像路径
        image_path = item["image"][0]
        
        # 提取图像名作为id
        image_name = os.path.basename(image_path)
        image_id = os.path.splitext(image_name)[0]
        
        # 转换为绝对路径
        absolute_image_path = os.path.abspath(os.path.join(base_path, image_path))
        
        # 构建新的数据项
        new_item = {
            "id": image_id,
            "image": [absolute_image_path],
            "conversations": item["conversations"]
        }
        
        processed_data.append(new_item)
    
    return processed_data

# 示例使用
if __name__ == "__main__":
    # 方法1: 从文件读取并处理
    process_dataset("train_data_processed.json", "train_data_convs.json", base_path="/mnt/dolphinfs/ssd_pool/docker/user/hadoop-mlm-hl/hadoop-mlm/common/spatial_data/spatial_relation/SAT")