couto/bjj-vqa
BJJ-VQA A Visual Question Answering benchmark that tests whether Vision-Language Models can reason about Brazilian Jiu-Jitsu mechanics — not just recognize technique names. Each question presents a still frame from a CC-licensed instructional video and asks why a specific visible detail matters. The correct answer cannot be identified from text alone. Setup uv sync Run an evaluation export ANTHROPIC_AUTH_TOKEN=your-token uv run inspect eval… See the full description on the dataset page: https://huggingface.co/datasets/couto/bjj-vqa.
| Author / organization | couto |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 191 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 April 2026 |
| Last updated at source | 1 May 2026 |
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191 now (+10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: BJJ-VQA A Visual Question Answering benchmark that tests whether Vision-Language Models can reason about Brazilian Jiu-Jitsu mechanics — not just recognize technique names. Each question presents a still frame from a CC-licensed instruction → BJJ-VQA A Visual Question Answering benchmark that tests whether Vision-Language Models can reason about Brazilian Jiu-Jitsu mechanics — not just recognize technique names. Each question presents a still frame from a CC-licensed instruction
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.