Datasets:
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action listlengths 6 6 | observation.state listlengths 6 6 | timestamp float64 0 39.4 | task_index int64 0 0 | episode_index int64 0 23 | frame_index int64 0 1.18k | index int64 0 17.2k |
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1.21674382686615,
-0.30226799845695496,
0.35903915762901306,
1.8381577730178833
] | [
0.11507665365934372,
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1.2198125123977661,
-0.30226799845695496,
0.36057353019714355,
1.8381577730178833
] | 3.133333 | 0 | 0 | 94 | 94 |
[
0.12581713497638702,
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1.2152094841003418,
-0.30687108635902405,
0.36517658829689026,
1.8381577730178833
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0.11967971920967102,
-0.11354229599237442,
1.21674382686615,
-0.30226799845695496,
0.35903915762901306,
1.8381577730178833
] | 3.166667 | 0 | 0 | 95 | 95 |
[
0.12428278475999832,
-0.10893923044204712,
1.2152094841003418,
-0.30380237102508545,
0.36057353019714355,
1.8381577730178833
] | [
0.12581713497638702,
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1.2152094841003418,
-0.30687108635902405,
0.36517658829689026,
1.8381577730178833
] | 3.2 | 0 | 0 | 96 | 96 |
[
0.12888585031032562,
-0.10893923044204712,
1.21674382686615,
-0.30993980169296265,
0.36057353019714355,
1.8366234302520752
] | [
0.12428278475999832,
-0.10893923044204712,
1.2152094841003418,
-0.30380237102508545,
0.36057353019714355,
1.8381577730178833
] | 3.233333 | 0 | 0 | 97 | 97 |
[
0.13042020797729492,
-0.10587052255868912,
1.2152094841003418,
-0.31300848722457886,
0.35136738419532776,
1.8366234302520752
] | [
0.12888585031032562,
-0.10893923044204712,
1.21674382686615,
-0.30993980169296265,
0.36057353019714355,
1.8366234302520752
] | 3.266667 | 0 | 0 | 98 | 98 |
[
0.13042020797729492,
-0.10433616489171982,
1.2121407985687256,
-0.31147414445877075,
0.33755818009376526,
1.8412264585494995
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0.13042020797729492,
-0.10587052255868912,
1.2152094841003418,
-0.31300848722457886,
0.35136738419532776,
1.8366234302520752
] | 3.3 | 0 | 0 | 99 | 99 |
End of preview. Expand in Data Studio
Expert_View_Frogs
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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