PolyU-ChenLab/ETBench

E.T. Bench arXiv | Project Page | GitHub E.T. Bench is a large-scale and high-quality benchmark for open-ended event-level video understanding. Categorized within a 3-level task taxonomy, it encompasses 7.3K samples under 12 tasks with 7K videos (251.4h total length) under 8 domains, providing comprehensive evaluations on 4 essential capabilities for time-sensitive video understanding. 📦 Data Preparation You may download the evaluation kit for E.T. Bench using the… See the full description on the dataset page: https://huggingface.co/datasets/PolyU-ChenLab/ETBench.

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