1x-technologies/GENIE_35M
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Dataset for the 1X World Model Challenge.
Download with:
huggingface-cli download 1x-technologies/worldmodel --repo-type dataset --local-dir data
Current version: v1.1
Contents of train/val_v1.1:
magvig2.ckpt
weights.segment_ids[i]
uniquely points to the segment index that frame i
came from. You may want to use this to separate non-contiguous frames from different videos (transitions).np.float32
format. For frame i
, the corresponding action is given by driving_command[i]
, joint_pos[i]
, l_hand_closure[i]
, and so on. The shapes of the arrays are as follows (N is the number of frames):{
joint_pos: (N, 21)
driving_command: (N, 2),
neck_desired: (N, 1),
l_hand_closure: (N, 1),
r_hand_closure: (N, 1),
}
We also provide a small val_v1.1
data split containing held-out examples not seen in the training set, in case you want to try evaluating your model on held-out frames.