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sequencelengths 6
6
| observation.state
sequencelengths 6
6
| timestamp
float64 0
9.27
| task_index
int64 0
0
| episode_index
int64 0
11
| frame_index
int64 0
278
| index
int64 0
1.63k
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sequencelengths 4
4
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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| 81
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[
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[
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[
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[
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| 83
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[
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[
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[
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| 84
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[
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[
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[
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| 85
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[
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[
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[
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| 86
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|
[
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[
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[
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| 87
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[
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[
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[
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| 88
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[
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[
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[
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| 89
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[
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[
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[
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| 90
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[
0.4853515625,
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[
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[
0.24242815375328064,
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| 91
| 91
|
[
0.4853515625,
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[
0.24242815375328064,
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[
0.24242815375328064,
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| 0
| 0
| 92
| 92
|
[
0.4853515625,
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[
0.24242815375328064,
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[
0.24242815375328064,
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1.640225887298584,
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| 0
| 0
| 93
| 93
|
[
0.4853515625,
0.5185546875,
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[
0.24242815375328064,
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[
0.24242815375328064,
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1.640225887298584,
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| 0
| 0
| 94
| 94
|
[
0.4853515625,
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[
0.24242815375328064,
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[
0.24242815375328064,
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1.640225887298584,
0.11354229599237442,
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| 0
| 0
| 95
| 95
|
[
0.4853515625,
0.5185546875,
0.6865234375,
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[
0.24242815375328064,
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1.640225887298584,
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[
0.24242815375328064,
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1.640225887298584,
0.11354229599237442,
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| 0
| 0
| 96
| 96
|
[
0.4853515625,
0.5185546875,
0.6865234375,
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[
0.24242815375328064,
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1.640225887298584,
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[
0.24242815375328064,
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1.640225887298584,
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] | 3.233333
| 0
| 0
| 97
| 97
|
[
0.4853515625,
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[
0.24242815375328064,
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1.640225887298584,
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[
0.24242815375328064,
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1.640225887298584,
0.11354229599237442,
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| 0
| 0
| 98
| 98
|
[
0.4853515625,
0.5185546875,
0.6865234375,
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[
0.24242815375328064,
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1.641760230064392,
0.11354229599237442,
0.015343554317951202
] |
[
0.24242815375328064,
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1.640225887298584,
0.11354229599237442,
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] | 3.3
| 0
| 0
| 99
| 99
|
[
0.4853515625,
0.5185546875,
0.6865234375,
0.7587890625
] |
End of preview. Expand
in Data Studio
test2_dataset
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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