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sequencelengths 6
6
| observation.state
sequencelengths 6
6
| timestamp
float64 0
3.93
| task_index
int64 0
0
| episode_index
int64 0
9
| frame_index
int64 0
118
| index
int64 0
1.05k
|
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0.8745825886726379,
0.6582384705543518,
0.09359567612409592,
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] | 3.166667 | 0 | 0 | 95 | 95 |
[
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1.0341554880142212,
0.6812537908554077,
0.09973309934139252,
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0.9497659802436829,
0.6659102439880371,
0.09973309934139252,
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] | 3.2 | 0 | 0 | 96 | 96 |
[
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1.133888602256775,
0.7303531765937805,
0.09973309934139252,
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1.0341554880142212,
0.6812537908554077,
0.09973309934139252,
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[
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1.218278169631958,
0.8055365681648254,
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1.133888602256775,
0.7303531765937805,
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[
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1.2919272184371948,
0.876116931438446,
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1.218278169631958,
0.8055365681648254,
0.09973309934139252,
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] | 3.3 | 0 | 0 | 99 | 99 |
End of preview. Expand
in Data Studio
example_dataset_8
This dataset was generated using a phospho starter pack.
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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