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import json |
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import os |
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from tqdm import tqdm |
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INPUT_JSON = "splice_segment_metadata.json" |
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OUTPUT_JSONL = "metadata.jsonl" |
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def convert_to_jsonl_ordered(): |
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""" |
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Converts the nested SPLICE JSON metadata into a flat, logically ordered |
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JSON Lines file for a professional display in the Hugging Face Viewer. |
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""" |
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print(f"--- Converting to logically ordered '{OUTPUT_JSONL}' ---") |
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with open(INPUT_JSON, 'r') as f: |
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data = json.load(f) |
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with open(OUTPUT_JSONL, 'w') as f_out: |
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for video_info in tqdm(data, desc="Processing video tasks"): |
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for segment in video_info.get("segments", []): |
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output_record = { |
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"file_name": segment.get("output_path", ""), |
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"video_id": video_info.get("video_id", ""), |
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"part": segment.get("part", -1), |
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"label": segment.get("label", ""), |
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"domain": video_info.get("Domain", ""), |
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"class": video_info.get("class", ""), |
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"start": segment.get("start", -1.0), |
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"end": segment.get("end", -1.0), |
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"task_duration": video_info.get("duration", -1.0), |
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"video_url": video_info.get("video_url", ""), |
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} |
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f_out.write(json.dumps(output_record) + '\n') |
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print("\n--- Conversion Complete! ---") |
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print(f"Successfully created '{OUTPUT_JSONL}' with a professional column order.") |
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if __name__ == "__main__": |
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convert_to_jsonl_ordered() |
