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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_idand 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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