Heinz217/TraceAV-Bench
TraceAV-Bench Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos TraceAV-Bench is the first benchmark to jointly evaluate multi-hop reasoning over long audio-visual trajectories and multimodal hallucination robustness. It contains 2,200 trajectory-grounded multiple-choice questions over 578 long videos (339.5 hours total), organized into 4 evaluation dimensions and 15 sub-tasks. Every question is grounded in an explicit reasoning chain… See the full description on the dataset page: https://huggingface.co/datasets/Heinz217/TraceAV-Bench.
| Author / organization | Heinz217 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 222 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 May 2026 |
| Last updated at source | 13 May 2026 |
Popularity, last 3 days
222 now (-10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Recent changes
- 16 Oct 2026 Description: TraceAV-Bench Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos TraceAV-Bench is the first benchmark to jointly evaluate multi-hop reasoning over long audio-visual trajectoriesand multimodal hallucination robustness. → TraceAV-Bench Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos TraceAV-Bench is the first benchmark to jointly evaluate multi-hop reasoning over long audio-visual trajectories and multimodal hallucination robustness
Changes detected by Silytics between refreshes of the source.
Related papers
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 Information may be incomplete or out of date.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.