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maharishiva/
tinywmcraft_200k

mit

world-model

video-prediction

reinforcement-learning

craftax

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tinywmcraft_200k

~200k pixel transitions from Craftax-Classic (Craftax-Classic-Pixels-v1), collected by a frozen pretrained agent (greedy actions, mid-game skill, mean episode ≈ 292 steps). This is the fixed data budget of the tinywmcraft world-model benchmark: train a pixel world model from scratch on train.npz in ≤ 10 min on one A100 and score it on eval.npz with the repo's frozen metric (gFVD + action-following).

	Files

file frames actions / rewards /… See the full description on the dataset page: https://huggingface.co/datasets/maharishiva/tinywmcraft_200k.