Dataset Viewer
Auto-converted to Parquet
Search is not available for this dataset
action
sequencelengths
6
6
observation.state
sequencelengths
6
6
timestamp
float64
0
2.4
task_index
int64
0
0
episode_index
int64
0
1
frame_index
int64
0
24
index
int64
0
45
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0
0
0
0
0
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.1
0
0
1
1
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.2
0
0
2
2
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.3
0
0
3
3
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.4
0
0
4
4
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.5
0
0
5
5
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.6
0
0
6
6
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.7
0
0
7
7
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.8
0
0
8
8
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.9
0
0
9
9
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1
0
0
10
10
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.1
0
0
11
11
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.2
0
0
12
12
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.3
0
0
13
13
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.4
0
0
14
14
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.5
0
0
15
15
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.6
0
0
16
16
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.7
0
0
17
17
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.8
0
0
18
18
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.9
0
0
19
19
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
2
0
0
20
20
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0
0
1
0
21
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.1
0
1
1
22
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.2
0
1
2
23
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.3
0
1
3
24
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.4
0
1
4
25
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.5
0
1
5
26
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.6
0
1
6
27
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.7
0
1
7
28
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.8
0
1
8
29
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
0.9
0
1
9
30
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1
0
1
10
31
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.1
0
1
11
32
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.2
0
1
12
33
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.3
0
1
13
34
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.4
0
1
14
35
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.5
0
1
15
36
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.6
0
1
16
37
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.7
0
1
17
38
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.8
0
1
18
39
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
1.9
0
1
19
40
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
2
0
1
20
41
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
2.1
0
1
21
42
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
2.2
0
1
22
43
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
2.3
0
1
23
44
[ 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0, 0, 0, 0 ]
2.4
0
1
24
45

japo3

This dataset was generated using a phospho dev kit.

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.

Downloads last month
0