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listlengths 6
6
| observation.state
listlengths 6
6
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float64 0
14.7
| task_index
int64 0
0
| episode_index
int64 0
29
| frame_index
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441
| index
int64 0
10.7k
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2.177250385284424
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[
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0.20253491401672363,
0.8791856169700623,
-0.8929948210716248,
0.03682452812790871,
2.177250385284424
] | 3.133333 | 0 | 0 | 94 | 94 |
[
0.421947717666626,
0.23629072308540344,
0.8791856169700623,
-0.9144757986068726,
0.038358885794878006,
2.177250385284424
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[
0.421947717666626,
0.21941281855106354,
0.8791856169700623,
-0.9068040251731873,
0.038358885794878006,
2.177250385284424
] | 3.166667 | 0 | 0 | 95 | 95 |
[
0.421947717666626,
0.25316864252090454,
0.8776512742042542,
-0.9252163171768188,
0.03682452812790871,
2.177250385284424
] |
[
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0.23629072308540344,
0.8791856169700623,
-0.9144757986068726,
0.038358885794878006,
2.177250385284424
] | 3.2 | 0 | 0 | 96 | 96 |
[
0.4250164330005646,
0.27464962005615234,
0.8745825886726379,
-0.9328880906105042,
0.033755820244550705,
2.177250385284424
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[
0.421947717666626,
0.25316864252090454,
0.8776512742042542,
-0.9252163171768188,
0.03682452812790871,
2.177250385284424
] | 3.233333 | 0 | 0 | 97 | 97 |
[
0.4280851483345032,
0.29152750968933105,
0.8745825886726379,
-0.9359567761421204,
0.033755820244550705,
2.177250385284424
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[
0.4250164330005646,
0.27464962005615234,
0.8745825886726379,
-0.9328880906105042,
0.033755820244550705,
2.177250385284424
] | 3.266667 | 0 | 0 | 98 | 98 |
[
0.42961952090263367,
0.30840542912483215,
0.871513843536377,
-0.9420942068099976,
0.033755820244550705,
2.177250385284424
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[
0.4280851483345032,
0.29152750968933105,
0.8745825886726379,
-0.9359567761421204,
0.033755820244550705,
2.177250385284424
] | 3.3 | 0 | 0 | 99 | 99 |
End of preview. Expand
in Data Studio
clean_desk
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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