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VLM-2 Orderless Balanced 5000

Balanced 5,000-example subset for VLM-2 traffic accident maneuver-pair fine-tuning.

The subset was sampled from the orderless VLM-2 training labels with all 105 answer labels retained. Sampling is primarily balanced by the VLM-2 answer label:

  • Target size: 5,000 examples
  • Unique answer labels: 105
  • Base cap per label: 100
  • Maximum label count after balancing: 110
  • Random seed: 42

Files

  • train_vlm_2_orderless_balanced_5000_qwen_finetune.jsonl: Qwen fine-tuning skeleton.
  • train_vlm_2_orderless_balanced_5000_label.jsonl: video_id and answer label.
  • train_vlm_2_orderless_balanced_5000_eval_records.jsonl: evaluation records with choices and scene metadata.
  • train_vlm_2_orderless_balanced_5000_video_qa.jsonl: video QA records.
  • video_ids.txt: selected shared video ids.
  • summary.json: sampling and label-distribution summary.

This dataset contains label and prompt records only. Video files are referenced by video_id / placeholder paths and are not included.

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