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sequence | observation.state
sequence | timestamp
float64 | task_index
int64 | episode_index
int64 | frame_index
int64 | index
int64 |
|---|---|---|---|---|---|---|
[
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] | 0.1 | 0 | 0 | 3 | 3 |
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] | 0.133333 | 0 | 0 | 4 | 4 |
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] | 0.166667 | 0 | 0 | 5 | 5 |
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] | 0.233333 | 0 | 0 | 7 | 7 |
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] | 0.266667 | 0 | 0 | 8 | 8 |
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1.5
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] | 0.6 | 0 | 0 | 18 | 18 |
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] | 0.666667 | 0 | 0 | 20 | 20 |
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] | 0.733333 | 0 | 0 | 22 | 22 |
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-9.77164655530696e-40,
2.251185144775866e-23,
-2.7997235195258226e-23,
1.5,
-0.033488936722278595,
-0.036671996116638184,
0.04265914857387543,
-0.00635859789326787,
0.0003082248440477997,
1.5
] | 3.233333 | 0 | 0 | 97 | 97 |
[
7.292574691668923e-24,
7.77760509074781e-24,
-9.771651215280598e-40,
2.2511852048385542e-23,
-2.799723526250839e-23,
1.4999999999999998,
-0.03348893500385312,
-0.036671997701720783,
0.04265915017175323,
-0.0063585979777146424,
0.00030822485399212274,
1.5000000000000009
] | [
7.292574940078615e-24,
7.777605278792849e-24,
-9.77164655530696e-40,
2.251185144775866e-23,
-2.7997235195258226e-23,
1.5,
-0.033488936722278595,
-0.036671996116638184,
0.04265914857387543,
-0.00635859789326787,
0.0003082248440477997,
1.5
] | 3.266667 | 0 | 0 | 98 | 98 |
[
7.292574691668923e-24,
7.77760509074781e-24,
-9.771651215280598e-40,
2.2511852048385542e-23,
-2.799723526250839e-23,
1.4999999999999998,
-0.03348893500385312,
-0.036671997701720783,
0.04265915017175323,
-0.0063585979777146424,
0.00030822485399212274,
1.5000000000000009
] | [
7.292574940078615e-24,
7.777605278792849e-24,
-9.77164655530696e-40,
2.251185144775866e-23,
-2.7997235195258226e-23,
1.5,
-0.033488936722278595,
-0.036671996116638184,
0.04265914857387543,
-0.00635859789326787,
0.0003082248440477997,
1.5
] | 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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