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5 classes
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
1observation.images.main.left
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
2observation.images.main.right
0observation.images.main
0observation.images.main
0observation.images.main
0observation.images.main
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
3observation.images.secondary_0
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desk-cleaning

This dataset was generated using a phospho dev kit.

This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.

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