cbctr/

cs2-10k-vjepa2-latents-300

Frozen facebook/vjepa2-vitl-fpc64-256 embeddings of single-POV Counter-Strike 2 gameplay, from 300 matches of RekaAI/CS2-10k (mirage + dust2). This is the training substrate for the scale300 hierarchical world model. Rebuilding it from source takes ~82 hours of wall-clock (elapsed_min 4942.7), almost all of it network-bound, which is why it is published here.

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file shape / rows notes

latents.npy [6,942… See the full description on the dataset page: https://huggingface.co/datasets/cbctr/cs2-10k-vjepa2-latents-300.