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sequencelengths 6
6
| observation.state
sequencelengths 6
6
| timestamp
float64 0
16.1
| task_index
int64 0
0
| episode_index
int64 0
4
| frame_index
int64 0
483
| index
int64 0
1.53k
|
|---|---|---|---|---|---|---|
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1.3379578969134562,
1.4238817985501002,
2.1450288301433624,
1.284255458390552
] | [
0.007671777158975601,
-1.5707999467849731,
1.3364235162734985,
1.4238817691802979,
2.1388914585113525,
1.2811866998672485
] | 3.233333 | 0 | 0 | 97 | 97 |
[
0.021480975409160965,
-1.570799999999999,
1.3410266076861916,
1.4269505093228374,
2.157303673234308,
1.2827211030041832
] | [
0.012274842709302902,
-1.5707999467849731,
1.3379578590393066,
1.4238817691802979,
2.145028829574585,
1.2842555046081543
] | 3.266667 | 0 | 0 | 98 | 98 |
[
0.02761839695463553,
-1.570799999999999,
1.3425609630725601,
1.4269505093228374,
2.160372384007049,
1.2811867476178147
] | [
0.021480975672602654,
-1.5707999467849731,
1.3410266637802124,
1.426950454711914,
2.15730357170105,
1.2827211618423462
] | 3.3 | 0 | 0 | 99 | 99 |
End of preview. Expand
in Data Studio
example_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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