Datasets:
Download qa/val.jsonl from gfcfirefly/AV-QuantBench-Dataset: direct link, hf CLI and curl.
- Browser
- Download file 655 Bytes
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https://huggingface.co/datasets/gfcfirefly/AV-QuantBench-Dataset/resolve/main/qa/val.jsonl
- Command line
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hf download hf://datasets/gfcfirefly/AV-QuantBench-Dataset/qa/val.jsonl
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curl -L -o val.jsonl https://huggingface.co/datasets/gfcfirefly/AV-QuantBench-Dataset/resolve/main/qa/val.jsonl
655 Bytes
| {"id": "avqb-val-medical-0001", "split": "val", "domain": "medical", "video": "samples/videos/medical/AV_QuantBench_Medical_Sample.mp4", "audio": "samples/audio/medical/AV_QuantBench_Medical_Sample.wav", "task_type": "Cross-Modal Conflict", "question": "Between t=10s and t=15s, does the acoustic tempo support the visually active medical signal?", "ground_truth": "No. The visual waveform remains active, but the acoustic tempo slows, suggesting a cross-modal mismatch consistent with deteriorating vital momentum.", "algorithmic_metadata": {"signal_gradient": -0.07117362667543287, "heart_rate_gradient": -33.11302142454403, "conflict_detected": true}} | |