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import json |
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from collections import defaultdict |
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def transform_ovo_to_movienet_format(input_file, output_file): |
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""" |
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将 ovo_bench_new.json 转换为类似 movienet_oe.json 的格式 |
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规则： |
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1. 按 video 分组，将同一视频的问答合并到 conversations 列表 |
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2. 过滤掉 task 为 "REC", "SSR", "CRR" 的样本 |
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3. 保留每个样本的其他 keys |
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""" |
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with open(input_file, 'r', encoding='utf-8') as f: |
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data = json.load(f) |
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filtered_data = [ |
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item for item in data |
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if item.get('task') not in ['REC', 'SSR', 'CRR'] |
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] |
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print(f"原始样本数: {len(data)}") |
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print(f"过滤后样本数: {len(filtered_data)}") |
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new_data = [] |
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for sample_dict in filtered_data: |
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new_dict = {} |
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new_dict['video_id'] = sample_dict['id'] |
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new_dict['video_path'] = 'data/ovobench/videos/' + sample_dict['video'] |
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new_dict['task'] = sample_dict['task'] |
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new_dict['conversations'] = [] |
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conv = { |
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"question": sample_dict['question'], |
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"answer": sample_dict['options'][sample_dict['gt']], |
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"choices": sample_dict['options'], |
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"end_time": sample_dict['realtime'], |
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} |
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new_dict['conversations'].append(conv) |
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new_data.append(new_dict) |
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with open(output_file, 'w', encoding='utf-8') as f: |
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json.dump(new_data, f, ensure_ascii=False, indent=4) |
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if __name__ == "__main__": |
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input_file = "ovo_bench_new.json" |
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output_file = "ovobench_formatted.json" |
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transform_ovo_to_movienet_format(input_file, output_file) |
