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EgoCS-400K: An Egocentric Gameplay Dataset for World Models

Hugging Face Daily Papers · 2026-06-16 Cached

EgoCS-400K is a large-scale egocentric Counter-Strike dataset with over 400,000 first-person videos and 10,000 hours of gameplay, providing temporally aligned video-action-language trajectories for world model research.

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