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sequencelengths 6
6
| observation.state
sequencelengths 6
6
| timestamp
float64 0
14.3
| task_index
int64 0
0
| episode_index
int64 0
55
| frame_index
int64 0
429
| index
int64 0
15.7k
|
|---|---|---|---|---|---|---|
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[
-0.004603066159105924,
0.01227484309094913,
0.15190118325049548,
1.3072707891860824,
0.0030687107727372827,
1.3655762938680909
] | [
-0.004603066015988588,
0.012274842709302902,
0.15190118551254272,
1.3072707653045654,
0.0030687106773257256,
1.3655762672424316
] | 3.133333 | 0 | 0 | 94 | 94 |
[
-0.004603066159105924,
0.01227484309094913,
0.15190118325049548,
1.3072707891860824,
0.0030687107727372827,
1.3655762938680909
] | [
-0.004603066015988588,
0.012274842709302902,
0.15190118551254272,
1.3072707653045654,
0.0030687106773257256,
1.3655762672424316
] | 3.166667 | 0 | 0 | 95 | 95 |
[
-0.004603066159105924,
0.01227484309094913,
0.15190118325049548,
1.3072707891860824,
0.0030687107727372827,
1.3655762938680909
] | [
-0.004603066015988588,
0.012274842709302902,
0.15190118551254272,
1.3072707653045654,
0.0030687106773257256,
1.3655762672424316
] | 3.2 | 0 | 0 | 96 | 96 |
[
-0.004603066159105924,
0.01227484309094913,
0.15190118325049548,
1.3072707891860824,
0.0030687107727372827,
1.3655762938680909
] | [
-0.004603066015988588,
0.012274842709302902,
0.15190118551254272,
1.3072707653045654,
0.0030687106773257256,
1.3655762672424316
] | 3.233333 | 0 | 0 | 97 | 97 |
[
-0.004603066159105924,
0.01227484309094913,
0.15190118325049548,
1.3072707891860824,
0.0030687107727372827,
1.3655762938680909
] | [
-0.004603066015988588,
0.012274842709302902,
0.15190118551254272,
1.3072707653045654,
0.0030687106773257256,
1.3655762672424316
] | 3.266667 | 0 | 0 | 98 | 98 |
[
-0.004603066159105924,
0.01227484309094913,
0.15190118325049548,
1.3072707891860824,
0.0030687107727372827,
1.3655762938680909
] | [
-0.004603066015988588,
0.012274842709302902,
0.15190118551254272,
1.3072707653045654,
0.0030687106773257256,
1.3655762672424316
] | 3.3 | 0 | 0 | 99 | 99 |
End of preview. Expand
in Data Studio
test_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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