RohanNaga/doom-dense-arnold-latents

DoomShift per-tic latents Derived from the raw dataset RohanNaga/doom-dense-arnold: every tic of each episode encoded once through a frozen Stable Diffusion autoencoder, stored as one .npy per episode plus a .npz sidecar with the per-tic metadata. Released so that a training or adaptation run can start without re-encoding, and so that latents are reproducible bit for bit: latent bytes depend on the autoencoder, its scaling, the precision and the encode batch size, all recorded… See the full description on the dataset page: https://huggingface.co/datasets/RohanNaga/doom-dense-arnold-latents.

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