Search is not available for this dataset
action list | observation.state list | timestamp float64 | task_index int64 | episode_index int64 | frame_index int64 | index int64 |
|---|---|---|---|---|---|---|
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-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.033333 | 0 | 0 | 91 | 91 |
[
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.066667 | 0 | 0 | 92 | 92 |
[
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.1 | 0 | 0 | 93 | 93 |
[
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.133333 | 0 | 0 | 94 | 94 |
[
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.166667 | 0 | 0 | 95 | 95 |
[
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.2 | 0 | 0 | 96 | 96 |
[
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.233333 | 0 | 0 | 97 | 97 |
[
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.266667 | 0 | 0 | 98 | 98 |
[
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | [
-0.8792507648468018,
-0.03374487906694412,
0.03933091089129448,
-0.005957356654107571,
0.00047961759264580905,
1.5
] | 3.3 | 0 | 0 | 99 | 99 |
End of preview. Expand in Data Studio
example_dataset
This dataset was generated using gibbonbot.
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.
To get started in robotics, get your own gibbonbot starter pack..
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