eval/respace/tools/extract_split_mapping.py

#!/usr/bin/env python3
import json
import os

def extract_split_mapping():
    """从training_data_with_content_v2.json中提取split映射"""
    
    input_file = "/home/v-meiszhang/amlt-project/respace/training_data_with_content_v2.json"
    output_file = "/home/v-meiszhang/amlt-project/respace/split_mapping.json"
    
    print(f"Reading from {input_file}...")
    
    split_mapping = {}
    
    with open(input_file, 'r') as f:
        data = json.load(f)
    
    print(f"Total entries in original file: {len(data.get('data', []))}")
    
    for entry in data.get('data', []):
        scene_id = entry.get('id')
        split = entry.get('split')
        
        if scene_id and split:
            split_mapping[scene_id] = split
    
    print(f"Extracted {len(split_mapping)} scene-to-split mappings")
    
    # 统计split分布
    split_counts = {}
    for split in split_mapping.values():
        split_counts[split] = split_counts.get(split, 0) + 1
    
    print("Split distribution:")
    for split, count in sorted(split_counts.items()):
        print(f"  {split}: {count}")
    
    # 保存映射
    mapping_data = {
        "metadata": {
            "total_scenes": len(split_mapping),
            "split_distribution": split_counts,
            "source_file": input_file
        },
        "mapping": split_mapping
    }
    
    with open(output_file, 'w') as f:
        json.dump(mapping_data, f, indent=2)
    
    print(f"Split mapping saved to {output_file}")
    return split_mapping

if __name__ == "__main__":
    extract_split_mapping()