Hugging Face's logo

Datasets:
tmeynier
/
hepha_bucket_to_bin

Modalities:
Tabular
Video
Formats:
parquet
Languages:
English
Size:
< 1K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
 Community
1
Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
observation.state
list
action
list
episode_index
int64
frame_index
int64
timestamp
float64
next.reward
float32
next.done
bool
next.success
bool
index
int64
task_index
int64
[ 0.225, 0, 0.17500000000000002, 0, -0.03333333333333333, 0.03333333333333333 ]
[ 0.20500000000000002, -0.02, 0.17500000000000002, -0.02, -0.03333333333333333, 0.03333333333333333 ]
0
0
0
0.932802
false
false
0
0
[ 0.20500000000000002, -0.02, 0.17500000000000002, -0.019999999999999983, -0.03330246920308986, 0.03330246920308986 ]
[ 0.18500000000000003, -0.04, 0.17500000000000002, -0.04, -0.03333333333333333, 0.03333333333333333 ]
0
1
0.1
0.948261
false
false
1
0
[ 0.18500000000000003, -0.04, 0.17500000000000002, -0.04, -0.03330204201346383, 0.03330204201346383 ]
[ 0.16500000000000004, -0.06, 0.17500000000000002, -0.06, -0.03333333333333333, 0.03333333333333333 ]
0
2
0.2
0.960103
false
false
2
0
[ 0.16500000000000004, -0.06, 0.17500000000000002, -0.06, -0.033301877737217336, 0.033301877737217336 ]
[ 0.14500000000000005, -0.08, 0.17500000000000002, -0.08, -0.03333333333333333, 0.03333333333333333 ]
0
3
0.3
0.968161
false
false
3
0
[ 0.14500000000000005, -0.08, 0.17500000000000002, -0.08, -0.03330181442042181, 0.03330181442042181 ]
[ 0.12500000000000006, -0.1, 0.17500000000000002, -0.1, -0.03333333333333333, 0.03333333333333333 ]
0
4
0.4
0.972374
false
false
4
0
[ 0.12500000000000006, -0.1, 0.17500000000000002, -0.1, -0.03330179001831087, 0.03330179001831087 ]
[ 0.12500000000000006, -0.12000000000000001, 0.17500000000000002, -0.12000000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
5
0.5
0.984308
false
false
5
0
[ 0.12500000000000006, -0.12000000000000001, 0.17500000000000002, -0.12000000000000001, -0.033301780614105256, 0.033301780614105256 ]
[ 0.12500000000000006, -0.14, 0.17500000000000002, -0.14, -0.03333333333333333, 0.03333333333333333 ]
0
6
0.6
0.993205
false
false
6
0
[ 0.12500000000000006, -0.14, 0.17500000000000002, -0.14, -0.03330177698991041, 0.03330177698991041 ]
[ 0.12500000000000006, -0.16, 0.17500000000000002, -0.16, -0.03333333333333333, 0.03333333333333333 ]
0
7
0.7
0.999076
false
false
7
0
[ 0.12500000000000006, -0.16, 0.17500000000000002, -0.16, -0.033301775593223976, 0.033301775593223976 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.18, -0.03333333333333333, 0.03333333333333333 ]
0
8
0.8
1
false
false
8
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.18, -0.03330177505497215, 0.03330177505497215 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.19999999999999998, -0.03333333333333333, 0.03333333333333333 ]
0
9
0.9
1
false
false
9
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.19999999999999998, -0.03330177484754205, 0.03330177484754205 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.21999999999999997, -0.03333333333333333, 0.03333333333333333 ]
0
10
1
1
false
false
10
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.21999999999999997, -0.03330177476760319, 0.03330177476760319 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.23999999999999996, -0.03333333333333333, 0.03333333333333333 ]
0
11
1.1
1
false
false
11
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.23999999999999996, -0.03330177473679655, 0.03330177473679655 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.25999999999999995, -0.03333333333333333, 0.03333333333333333 ]
0
12
1.2
1
false
false
12
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.25999999999999995, -0.03330177472492439, 0.03330177472492439 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.27999999999999997, -0.03333333333333333, 0.03333333333333333 ]
0
13
1.3
1
false
false
13
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.27999999999999997, -0.03330177472034912, 0.03330177472034912 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.3, -0.03333333333333333, 0.03333333333333333 ]
0
14
1.4
1
false
false
14
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.3, -0.03330177471858592, 0.03330177471858592 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.32, -0.03333333333333333, 0.03333333333333333 ]
0
15
1.5
1
false
false
15
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.32, -0.03330177471790641, 0.03330177471790641 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.34, -0.03333333333333333, 0.03333333333333333 ]
0
16
1.6
1
false
false
16
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.34, -0.03330177471764455, 0.03330177471764455 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.36000000000000004, -0.03333333333333333, 0.03333333333333333 ]
0
17
1.7
1
false
false
17
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.36000000000000004, -0.03330177471754365, 0.03330177471754365 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.38000000000000006, -0.03333333333333333, 0.03333333333333333 ]
0
18
1.8
1
false
false
18
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.38000000000000006, -0.033301774717504756, 0.033301774717504756 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.4000000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
19
1.9
1
false
false
19
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.4000000000000001, -0.03330177471748975, 0.03330177471748975 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.4200000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
20
2
1
false
false
20
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.4200000000000001, -0.03330177471748399, 0.03330177471748399 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.4400000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
21
2.1
1
false
false
21
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.4400000000000001, -0.03330177471748175, 0.03330177471748175 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.46000000000000013, -0.03333333333333333, 0.03333333333333333 ]
0
22
2.2
1
false
false
22
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.46000000000000013, -0.0333017747174809, 0.0333017747174809 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.48000000000000015, -0.03333333333333333, 0.03333333333333333 ]
0
23
2.3
1
false
false
23
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.48000000000000015, -0.03330177471748056, 0.03330177471748056 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5000000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
24
2.4
1
false
false
24
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5000000000000001, -0.033301774717480435, 0.033301774717480435 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5200000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
25
2.5
1
false
false
25
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5200000000000001, -0.03330177471748039, 0.03330177471748039 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5400000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
26
2.6
1
false
false
26
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5400000000000001, -0.03330177471748036, 0.03330177471748036 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5600000000000002, -0.03333333333333333, 0.03333333333333333 ]
0
27
2.7
1
false
false
27
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5600000000000002, -0.03330177471748036, 0.03330177471748036 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5800000000000002, -0.03333333333333333, 0.03333333333333333 ]
0
28
2.8
1
false
false
28
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.5800000000000002, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6000000000000002, -0.03333333333333333, 0.03333333333333333 ]
0
29
2.9
1
false
false
29
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6000000000000002, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6200000000000002, -0.03333333333333333, 0.03333333333333333 ]
0
30
3
1
false
false
30
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6200000000000002, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6400000000000002, -0.03333333333333333, 0.03333333333333333 ]
0
31
3.1
1
false
false
31
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6400000000000002, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6600000000000003, -0.03333333333333333, 0.03333333333333333 ]
0
32
3.2
1
false
false
32
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6600000000000003, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6800000000000003, -0.03333333333333333, 0.03333333333333333 ]
0
33
3.3
1
false
false
33
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.6800000000000003, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7000000000000003, -0.03333333333333333, 0.03333333333333333 ]
0
34
3.4
1
false
false
34
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7000000000000003, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7200000000000003, -0.03333333333333333, 0.03333333333333333 ]
0
35
3.5
1
false
false
35
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7200000000000003, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7400000000000003, -0.03333333333333333, 0.03333333333333333 ]
0
36
3.6
1
false
false
36
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7400000000000003, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7600000000000003, -0.03333333333333333, 0.03333333333333333 ]
0
37
3.7
1
false
false
37
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7600000000000003, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7800000000000004, -0.03333333333333333, 0.03333333333333333 ]
0
38
3.8
1
false
false
38
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.7800000000000004, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8000000000000004, -0.03333333333333333, 0.03333333333333333 ]
0
39
3.9
1
false
false
39
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8000000000000004, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8200000000000004, -0.03333333333333333, 0.03333333333333333 ]
0
40
4
1
false
false
40
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8200000000000004, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8400000000000004, -0.03333333333333333, 0.03333333333333333 ]
0
41
4.1
1
false
false
41
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8400000000000004, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8600000000000004, -0.03333333333333333, 0.03333333333333333 ]
0
42
4.2
1
false
false
42
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8600000000000004, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8800000000000004, -0.03333333333333333, 0.03333333333333333 ]
0
43
4.3
1
false
false
43
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.8800000000000004, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9000000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
44
4.4
1
false
false
44
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9000000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9200000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
45
4.5
1
false
false
45
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9200000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9400000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
46
4.6
1
false
false
46
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9400000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9600000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
47
4.7
1
false
false
47
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9600000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9800000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
48
4.8
1
false
false
48
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -0.9800000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0000000000000004, -0.03333333333333333, 0.03333333333333333 ]
0
49
4.9
1
false
false
49
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0000000000000004, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0200000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
50
5
1
false
false
50
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0200000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0400000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
51
5.1
1
false
false
51
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0400000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0600000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
52
5.2
1
false
false
52
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0600000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0800000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
53
5.3
1
false
false
53
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.0800000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1000000000000005, -0.03333333333333333, 0.03333333333333333 ]
0
54
5.4
1
false
false
54
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1000000000000005, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1200000000000006, -0.03333333333333333, 0.03333333333333333 ]
0
55
5.5
1
false
false
55
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1200000000000006, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1400000000000006, -0.03333333333333333, 0.03333333333333333 ]
0
56
5.6
1
false
false
56
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1400000000000006, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1600000000000006, -0.03333333333333333, 0.03333333333333333 ]
0
57
5.7
1
false
false
57
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1600000000000006, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1800000000000006, -0.03333333333333333, 0.03333333333333333 ]
0
58
5.8
1
false
false
58
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.1800000000000006, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2000000000000006, -0.03333333333333333, 0.03333333333333333 ]
0
59
5.9
1
false
false
59
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2000000000000006, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2200000000000006, -0.03333333333333333, 0.03333333333333333 ]
0
60
6
1
false
false
60
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2200000000000006, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2400000000000007, -0.03333333333333333, 0.03333333333333333 ]
0
61
6.1
1
false
false
61
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2400000000000007, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2600000000000007, -0.03333333333333333, 0.03333333333333333 ]
0
62
6.2
1
false
false
62
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2600000000000007, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2800000000000007, -0.03333333333333333, 0.03333333333333333 ]
0
63
6.3
1
false
false
63
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.2800000000000007, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3000000000000007, -0.03333333333333333, 0.03333333333333333 ]
0
64
6.4
1
false
false
64
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3000000000000007, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3200000000000007, -0.03333333333333333, 0.03333333333333333 ]
0
65
6.5
1
false
false
65
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3200000000000007, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3400000000000007, -0.03333333333333333, 0.03333333333333333 ]
0
66
6.6
1
false
false
66
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3400000000000007, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3600000000000008, -0.03333333333333333, 0.03333333333333333 ]
0
67
6.7
1
false
false
67
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3600000000000008, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3800000000000008, -0.03333333333333333, 0.03333333333333333 ]
0
68
6.8
1
false
false
68
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.3800000000000008, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4000000000000008, -0.03333333333333333, 0.03333333333333333 ]
0
69
6.9
1
false
false
69
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4000000000000008, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4200000000000008, -0.03333333333333333, 0.03333333333333333 ]
0
70
7
1
false
false
70
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4200000000000008, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4400000000000008, -0.03333333333333333, 0.03333333333333333 ]
0
71
7.1
1
false
false
71
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4400000000000008, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4600000000000009, -0.03333333333333333, 0.03333333333333333 ]
0
72
7.2
1
false
false
72
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4600000000000009, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4800000000000009, -0.03333333333333333, 0.03333333333333333 ]
0
73
7.3
1
false
false
73
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.4800000000000009, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.5000000000000009, -0.03333333333333333, 0.03333333333333333 ]
0
74
7.4
1
false
false
74
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.5000000000000009, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.520000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
75
7.5
1
false
false
75
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.520000000000001, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.540000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
76
7.6
1
false
false
76
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.540000000000001, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.560000000000001, -0.03333333333333333, 0.03333333333333333 ]
0
77
7.7
1
false
false
77
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.560000000000001, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.5707963267948966, -0.03333333333333333, 0.03333333333333333 ]
0
78
7.8
1
false
false
78
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.5707963267948966, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.5707963267948966, -0.03333333333333333, 0.03333333333333333 ]
0
79
7.9
1
false
false
79
0
[ 0.12500000000000006, -0.18, 0.17500000000000002, -1.5707963267948966, -0.03330177471748035, 0.03330177471748035 ]
[ 0.12500000000000006, -0.18, 0.15500000000000003, -1.5707963267948966, -0.013333333333333332, 0.013333333333333332 ]
0
80
8
1
false
false
80
0
[ 0.12500000000000006, -0.18, 0.15500000000000003, -1.5707963267948966, -0.013319153262181378, 0.013319153262181378 ]
[ 0.12500000000000006, -0.18, 0.13500000000000004, -1.5707963267948966, 0.006666666666666668, -0.006666666666666668 ]
0
81
8.1
1
false
false
81
0
[ 0.12500000000000006, -0.18, 0.13500000000000004, -1.5707963267948966, 0.006662385726994989, -0.006662385726994989 ]
[ 0.12500000000000006, -0.18, 0.11500000000000003, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
82
8.2
1
false
false
82
0
[ 0.12500000000000006, -0.18, 0.11500000000000003, -1.5707963267948966, 0.026644020016020658, -0.026644020016020658 ]
[ 0.12500000000000006, -0.18, 0.09500000000000003, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
83
8.3
1
false
false
83
0
[ 0.12500000000000006, -0.18, 0.09500000000000003, -1.5707963267948966, 0.02664217887069619, -0.02664217887069619 ]
[ 0.12500000000000006, -0.18, 0.07500000000000002, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
84
8.4
1
false
false
84
0
[ 0.12500000000000006, -0.18, 0.07500000000000002, -1.5707963267948966, 0.026642179040342783, -0.026642179040342783 ]
[ 0.12500000000000006, -0.18, 0.05500000000000002, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
85
8.5
1
false
false
85
0
[ 0.12500000000000006, -0.18, 0.05500000000000002, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, 0.03500000000000002, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
86
8.6
1
false
false
86
0
[ 0.12500000000000006, -0.18, 0.03500000000000002, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, 0.015000000000000017, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
87
8.7
1
false
false
87
0
[ 0.12500000000000006, -0.18, 0.015, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, -0.004999999999999984, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
88
8.8
1
false
false
88
0
[ 0.12500000000000006, -0.18, -0.004999999999999992, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, -0.024999999999999984, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
89
8.9
1
false
false
89
0
[ 0.12500000000000006, -0.18, -0.024999999999999984, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, -0.044999999999999984, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
90
9
1
false
false
90
0
[ 0.12500000000000006, -0.18, -0.044999999999999984, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, -0.06499999999999999, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
91
9.1
1
false
false
91
0
[ 0.12500000000000006, -0.18, -0.06499999999999999, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, -0.08499999999999999, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
92
9.2
1
false
false
92
0
[ 0.12500000000000006, -0.18, -0.08499999999999999, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, -0.105, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
93
9.3
1
false
false
93
0
[ 0.12500000000000006, -0.18, -0.105, -1.5707963267948966, 0.026642179040327153, -0.026642179040327153 ]
[ 0.12500000000000006, -0.18, -0.125, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
94
9.4
1
false
false
94
0
[ 0.12500027980496758, -0.1800006289762535, -0.1243038190093536, -1.5707741644091224, 0.02664217890190964, -0.026642179178744663 ]
[ 0.12500000000000006, -0.18, -0.145, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
95
9.5
1
false
false
95
0
[ 0.12500070205519576, -0.1799968582918333, -0.14166026927723666, -1.5708029983339837, 0.026642239112111835, -0.02664224627005209 ]
[ 0.12500000000000006, -0.18, -0.16499999999999998, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
96
9.6
1
false
false
96
0
[ 0.125002123760252, -0.17999931083907944, -0.1569330020348176, -1.5707456411214928, 0.026642304002552426, -0.02664225061487696 ]
[ 0.12500000000000006, -0.18, -0.17500000000000002, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
97
9.7
1
false
false
97
0
[ 0.12500327049806578, -0.18000106945510314, -0.1615038853725814, -1.5707511492070731, 0.026642390250128246, -0.026642372907472536 ]
[ 0.12500000000000006, -0.18, -0.17500000000000002, -1.5707963267948966, 0.02666666666666667, -0.02666666666666667 ]
0
98
9.8
1
false
false
98
0
[ 0.1250038230651566, -0.17999940157855568, -0.15735563227308347, -1.5707806101628097, 0.026642386902966317, -0.02664239491944607 ]
[ 0.12500000000000006, -0.18, -0.17500000000000002, -1.5707963267948966, 0.006666666666666668, -0.006666666666666668 ]
0
99
9.9
1
false
false
99
0
End of preview. Expand in Data Studio

YAML Metadata Warning:The task_categories "computer-vision" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

YAML Metadata Warning:The task_ids "image-classification" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation

This dataset was created using LeRobot.

Dataset Description

Simulated robot control episodes for learning from pixels and interaction.

Dataset Structure

  • Episodes contain RGB camera data and robot state.
  • Data is stored in Parquet files.
  • Video files are MP4 compressed per camera.

Citation

BibTeX:

@misc{lerobot2024,
  author = {HuggingFace Robotics Team},
  title = {LeRobot: Learning from Simulation at Scale},
  year = {2024},
  url = {https://github.com/huggingface/lerobot}
}
Downloads last month
15
Size of downloaded dataset files:
35.7 kB
Size of the auto-converted Parquet files:
35.7 kB
Number of rows:
600