anonymous-dataset-submission/actionlens
ActionLens ActionLens is a video benchmark for evaluating fine-grained, temporally grounded action understanding in vision-language models. Its multiple-choice questions test whether a model can track what happens over time, identify which person performs an action, and interpret concurrent and directed interactions. Diagnostics ID Diagnostic Examples D1 Transition Sensitivity 194 D2 Actor-Specific Action Disambiguation 2,000 D3 Concurrent Action… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-dataset-submission/actionlens.
| Author / organization | anonymous-dataset-submission |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 165 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 April 2026 |
| Last updated at source | 28 September 2026 |
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