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Dataset · Hugging Face

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 / organizationanonymous-dataset-submission
License (as declared)apache-2.0
Downloads165 (as reported by Hugging Face)
Likes0
Created25 April 2026
Last updated at source28 September 2026
videovision-language-modelsaction-recognitionbenchmark
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