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DStardust/EgoCoT-Bench

EgoCoT-Bench Project Page | Paper EgoCoT-Bench is a benchmark for evaluating grounded and verifiable reasoning in egocentric videos. The benchmark focuses on operation-centric first-person video understanding, including hand-object interaction, object state changes, temporal retrospection, short-horizon anticipation, local causal reasoning, and grounded rationale evaluation. Note. This is the official clean public release of EgoCoT-Bench. The benchmark contents and public splits… See the full description on the dataset page: https://huggingface.co/datasets/DStardust/EgoCoT-Bench.

Author / organizationDStardust
License (as declared)cc-by-nc-4.0
Downloads159 (as reported by Hugging Face)
Likes1
Created2 June 2026
Last updated at source2 June 2026
egocentric-video-understandingmultimodal-reasoningvideo-question-answeringchain-of-thoughtgrounded-reasoningspatial-temporal-reasoningbenchmark
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