Hugging Face's logo

Datasets:
omkarmayekar555
/
pusht_dataset1

Tasks:
Robotics
Modalities:
Tabular
Video
Formats:
parquet
Size:
< 1K
Tags:
LeRobot
pusht
simulation
imitation-learning
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
observation.state
list
action
list
next.reward
float64
next.done
bool
next.success
bool
timestamp
float64
frame_index
int64
episode_index
int64
index
int64
task_index
int64
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0
0
0
0
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.1
1
0
1
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.2
2
0
2
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.3
3
0
3
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.4
4
0
4
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.5
5
0
5
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.6
6
0
6
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.7
7
0
7
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.8
8
0
8
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
0.9
9
0
9
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1
10
0
10
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.1
11
0
11
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.2
12
0
12
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.3
13
0
13
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.4
14
0
14
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.5
15
0
15
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.6
16
0
16
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.7
17
0
17
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.8
18
0
18
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
1.9
19
0
19
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2
20
0
20
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.1
21
0
21
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.2
22
0
22
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.3
23
0
23
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.4
24
0
24
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.5
25
0
25
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.6
26
0
26
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.7
27
0
27
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.8
28
0
28
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
2.9
29
0
29
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3
30
0
30
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.1
31
0
31
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.2
32
0
32
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.3
33
0
33
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.4
34
0
34
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.5
35
0
35
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.6
36
0
36
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.7
37
0
37
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.8
38
0
38
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
3.9
39
0
39
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
4
40
0
40
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
4.1
41
0
41
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
4.2
42
0
42
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
4.3
43
0
43
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
4.4
44
0
44
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
4.5
45
0
45
0
[ 149, 162 ]
[ 149, 162 ]
0.001482
false
false
4.6
46
0
46
0
[ 149, 162 ]
[ 139, 162 ]
0.001482
false
false
4.7
47
0
47
0
[ 146.0432891845703, 162 ]
[ 136.0432891845703, 162 ]
0.001482
false
false
4.8
48
0
48
0
[ 141.9666748046875, 162 ]
[ 131.9666748046875, 172 ]
0.001482
false
false
4.9
49
0
49
0
[ 137.89739990234375, 164.9567108154297 ]
[ 137.89739990234375, 174.9567108154297 ]
0.001482
false
false
5
50
0
50
0
[ 136.78480529785156, 169.0333251953125 ]
[ 136.78480529785156, 179.0333251953125 ]
0.001482
false
false
5.1
51
0
51
0
[ 136.79208374023438, 173.10260009765625 ]
[ 136.79208374023438, 183.10260009765625 ]
0.001482
false
false
5.2
52
0
52
0
[ 136.7920379638672, 177.1719207763672 ]
[ 136.7920379638672, 187.1719207763672 ]
0.001482
false
false
5.3
53
0
53
0
[ 136.7920379638672, 181.24124145507812 ]
[ 146.7920379638672, 191.24124145507812 ]
0.001482
false
false
5.4
54
0
54
0
[ 139.74876403808594, 185.31056213378906 ]
[ 149.74876403808594, 195.31056213378906 ]
0.001482
false
false
5.5
55
0
55
0
[ 143.8253631591797, 189.3798828125 ]
[ 153.8253631591797, 199.3798828125 ]
0.001482
false
false
5.6
56
0
56
0
[ 147.89463806152344, 193.44920349121094 ]
[ 137.89463806152344, 203.44920349121094 ]
0.001482
false
false
5.7
57
0
57
0
[ 146.05052185058594, 197.5185089111328 ]
[ 136.05052185058594, 207.5185089111328 ]
0.001482
false
false
5.8
58
0
58
0
[ 141.9666290283203, 201.58782958984375 ]
[ 131.9666290283203, 211.58782958984375 ]
0.001482
false
false
5.9
59
0
59
0
[ 137.89739990234375, 205.6571502685547 ]
[ 127.89739990234375, 215.6571502685547 ]
0.001482
false
false
6
60
0
60
0
[ 133.8280792236328, 209.72647094726562 ]
[ 123.82807922363281, 219.72647094726562 ]
0.001482
false
false
6.1
61
0
61
0
[ 129.75875854492188, 213.79579162597656 ]
[ 129.75875854492188, 223.79579162597656 ]
0.001482
false
false
6.2
62
0
62
0
[ 128.6461639404297, 217.8651123046875 ]
[ 128.6461639404297, 227.8651123046875 ]
0.001482
false
false
6.3
63
0
63
0
[ 128.65345764160156, 221.93443298339844 ]
[ 128.65345764160156, 231.93443298339844 ]
0.001482
false
false
6.4
64
0
64
0
[ 128.6533966064453, 226.00375366210938 ]
[ 128.6533966064453, 236.00375366210938 ]
0.001482
false
false
6.5
65
0
65
0
[ 128.6533966064453, 230.0730743408203 ]
[ 128.6533966064453, 240.0730743408203 ]
0.001482
false
false
6.6
66
0
66
0
[ 128.6533966064453, 234.14239501953125 ]
[ 128.6533966064453, 244.14239501953125 ]
0.001482
false
false
6.7
67
0
67
0
[ 128.6533966064453, 238.2117156982422 ]
[ 128.6533966064453, 248.2117156982422 ]
0.001482
false
false
6.8
68
0
68
0
[ 128.6533966064453, 242.28103637695312 ]
[ 128.6533966064453, 252.28103637695312 ]
0.001482
false
false
6.9
69
0
69
0
[ 128.6533966064453, 246.35035705566406 ]
[ 128.6533966064453, 256.350341796875 ]
0.001482
false
false
7
70
0
70
0
[ 128.6533966064453, 250.41966247558594 ]
[ 128.6533966064453, 260.419677734375 ]
0.001482
false
false
7.1
71
0
71
0
[ 128.6533966064453, 254.48898315429688 ]
[ 128.6533966064453, 264.4889831542969 ]
0.001482
false
false
7.2
72
0
72
0
[ 128.6533966064453, 258.5583190917969 ]
[ 128.6533966064453, 268.5583190917969 ]
0.001482
false
false
7.3
73
0
73
0
[ 128.6533966064453, 262.62762451171875 ]
[ 128.6533966064453, 272.62762451171875 ]
0.001482
false
false
7.4
74
0
74
0
[ 128.6533966064453, 266.69696044921875 ]
[ 128.6533966064453, 276.69696044921875 ]
0.001482
false
false
7.5
75
0
75
0
[ 128.6533966064453, 270.7662658691406 ]
[ 128.6533966064453, 280.7662658691406 ]
0.001482
false
false
7.6
76
0
76
0
[ 128.6533966064453, 274.8355712890625 ]
[ 128.6533966064453, 284.8355712890625 ]
0.001482
false
false
7.7
77
0
77
0
[ 128.6533966064453, 278.9049072265625 ]
[ 128.6533966064453, 288.9049072265625 ]
0.001482
false
false
7.8
78
0
78
0
[ 128.6533966064453, 282.9742126464844 ]
[ 128.6533966064453, 292.9742126464844 ]
0.001482
false
false
7.9
79
0
79
0
[ 128.6533966064453, 287.0435485839844 ]
[ 128.6533966064453, 297.0435485839844 ]
0.001482
false
false
8
80
0
80
0
[ 128.6533966064453, 291.11285400390625 ]
[ 128.6533966064453, 301.11285400390625 ]
0.001482
false
false
8.1
81
0
81
0
[ 128.6533966064453, 295.18218994140625 ]
[ 128.6533966064453, 305.18218994140625 ]
0.001482
false
false
8.2
82
0
82
0
[ 128.6533966064453, 299.2514953613281 ]
[ 128.6533966064453, 309.2514953613281 ]
0.001482
false
false
8.3
83
0
83
0
[ 128.6533966064453, 303.3208312988281 ]
[ 128.6533966064453, 313.3208312988281 ]
0.001482
false
false
8.4
84
0
84
0
[ 128.6533966064453, 307.39013671875 ]
[ 128.6533966064453, 317.39013671875 ]
0.001482
false
false
8.5
85
0
85
0
[ 128.6533966064453, 311.45947265625 ]
[ 128.6533966064453, 321.45947265625 ]
0.001482
false
false
8.6
86
0
86
0
[ 128.6533966064453, 315.5287780761719 ]
[ 128.6533966064453, 325.5287780761719 ]
0.001482
false
false
8.7
87
0
87
0
[ 128.6533966064453, 319.5981140136719 ]
[ 128.6533966064453, 329.5981140136719 ]
0.001482
false
false
8.8
88
0
88
0
[ 128.6533966064453, 323.66741943359375 ]
[ 128.6533966064453, 333.66741943359375 ]
0.001482
false
false
8.9
89
0
89
0
[ 128.6533966064453, 327.7367248535156 ]
[ 128.6533966064453, 337.7367248535156 ]
0.001482
false
false
9
90
0
90
0
[ 128.6533966064453, 331.8060607910156 ]
[ 128.6533966064453, 341.8060607910156 ]
0.001482
false
false
9.1
91
0
91
0
[ 128.6533966064453, 335.8753662109375 ]
[ 128.6533966064453, 345.8753662109375 ]
0.001482
false
false
9.2
92
0
92
0
[ 128.6533966064453, 339.9447021484375 ]
[ 128.6533966064453, 349.9447021484375 ]
0.001482
false
false
9.3
93
0
93
0
[ 128.6533966064453, 344.0140075683594 ]
[ 128.6533966064453, 354.0140075683594 ]
0.001482
false
false
9.4
94
0
94
0
[ 128.6533966064453, 348.0833435058594 ]
[ 128.6533966064453, 358.0833435058594 ]
0.001482
false
false
9.5
95
0
95
0
[ 128.6533966064453, 352.15264892578125 ]
[ 128.6533966064453, 362.15264892578125 ]
0.001482
false
false
9.6
96
0
96
0
[ 128.6533966064453, 356.22198486328125 ]
[ 128.6533966064453, 366.22198486328125 ]
0.001482
false
false
9.7
97
0
97
0
[ 128.6533966064453, 360.2912902832031 ]
[ 128.6533966064453, 370.2912902832031 ]
0.001482
false
false
9.8
98
0
98
0
[ 128.6533966064453, 364.3606262207031 ]
[ 128.6533966064453, 374.3606262207031 ]
0.001482
false
false
9.9
99
0
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "robot_type": "pusht_sim",
    "total_episodes": 2,
    "total_frames": 506,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 500,
    "fps": 10,
    "splits": {
        "train": "0:2"
    },
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "features": {
        "observation.image": {
            "dtype": "video",
            "shape": [
                96,
                96,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 96,
                "video.width": 96,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 10,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                2
            ],
            "names": [
                "motor_0",
                "motor_1"
            ]
        },
        "action": {
            "dtype": "float32",
            "shape": [
                2
            ],
            "names": [
                "motor_0",
                "motor_1"
            ]
        },
        "next.reward": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "next.done": {
            "dtype": "bool",
            "shape": [
                1
            ],
            "names": null
        },
        "next.success": {
            "dtype": "bool",
            "shape": [
                1
            ],
            "names": null
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

[More Information Needed]
Downloads last month
56
License:
apache-2.0
Size of downloaded dataset files:
23.9 kB
Size of the auto-converted Parquet files:
23.9 kB
Number of rows:
506