Reka turns Counter-Strike 2 demos into a world-model training dataset
CS2-10k promises 10,000-plus hours of first-person video with synchronized controls, but the full Hugging Face upload is not live yet.
By Ryan Merket · Published
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Why it matters
World models need action-linked video data, not just internet-scale clips. Reka's CS2-10k shows how AI labs are mining game replays for embodied training signals while the full corpus is still rolling out.
Reka (@RekaAILabs) has released CS2-10k, a Counter-Strike 2 dataset and rendering pipeline aimed at one of the harder bottlenecks in world-model research: pairing egocentric video with the exact actions that produced each frame.