Dataset Viewer
Auto-converted to Parquet
Search is not available for this dataset
observation.state
listlengths
6
6
action
listlengths
6
6
timestamp
float32
0
9.3
frame_index
int64
0
93
episode_index
int64
0
159
index
int64
0
7.15k
task_index
int64
0
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0
0
0
0
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.1
1
0
1
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.2
2
0
2
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.3
3
0
3
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.4
4
0
4
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.5
5
0
5
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.6
6
0
6
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.7
7
0
7
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.8
8
0
8
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
0.9
9
0
9
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
1
10
0
10
0
[ 90, 0, 0, 0, 0, 0 ]
[ 90, 0, 0, 0, 0, 0 ]
1.1
11
0
11
0
[ 89, 0, 0, 0, 0, 0 ]
[ 89, 0, 0, 0, 0, 0 ]
1.2
12
0
12
0
[ 89, 0, 0, 0, 0, 0 ]
[ 89, 0, 0, 0, 0, 0 ]
1.3
13
0
13
0
[ 89, 0, 0, 0, 0, 0 ]
[ 89, 0, 0, 0, 0, 0 ]
1.4
14
0
14
0
[ 89, 0, 0, 0, 0, 0 ]
[ 89, 0, 0, 0, 0, 0 ]
1.5
15
0
15
0
[ 89, 0, 0, 0, 0, 0 ]
[ 89, 0, 0, 0, 0, 0 ]
1.6
16
0
16
0
[ 88, 0, 0, 0, 0, 0 ]
[ 88, 0, 0, 0, 0, 0 ]
1.7
17
0
17
0
[ 87, 0, 0, 0, 0, 0 ]
[ 87, 0, 0, 0, 0, 0 ]
1.8
18
0
18
0
[ 85, 0, 0, 0, 0, 0 ]
[ 85, 0, 0, 0, 0, 0 ]
1.9
19
0
19
0
[ 80, 0, 0, 0, 0, 0 ]
[ 80, 0, 0, 0, 0, 0 ]
2
20
0
20
0
[ 76, 0, 0, 0, 0, 0 ]
[ 76, 0, 0, 0, 0, 0 ]
2.1
21
0
21
0
[ 72, 0, 0, 0, 0, 0 ]
[ 72, 0, 0, 0, 0, 0 ]
2.2
22
0
22
0
[ 67, 0, 0, 0, 0, 0 ]
[ 67, 0, 0, 0, 0, 0 ]
2.3
23
0
23
0
[ 62, 0, 0, 0, 0, 0 ]
[ 62, 0, 0, 0, 0, 0 ]
2.4
24
0
24
0
[ 49, 0, 0, 0, 0, 0 ]
[ 49, 0, 0, 0, 0, 0 ]
2.5
25
0
25
0
[ 42, 0, 0, 0, 0, 0 ]
[ 42, 0, 0, 0, 0, 0 ]
2.6
26
0
26
0
[ 34, 0, 0, 0, 0, 0 ]
[ 34, 0, 0, 0, 0, 0 ]
2.7
27
0
27
0
[ 25, 0, 0, 0, 0, 0 ]
[ 25, 0, 0, 0, 0, 0 ]
2.8
28
0
28
0
[ 16, 0, 0, 0, 0, 0 ]
[ 16, 0, 0, 0, 0, 0 ]
2.9
29
0
29
0
[ 14, 0, 0, 0, 0, 0 ]
[ 14, 0, 0, 0, 0, 0 ]
3
30
0
30
0
[ 12, 0, 0, 0, 0, 0 ]
[ 12, 0, 0, 0, 0, 0 ]
3.1
31
0
31
0
[ 10, 0, 0, 0, 0, 0 ]
[ 10, 0, 0, 0, 0, 0 ]
3.2
32
0
32
0
[ 7, 0, 0, 0, 0, 0 ]
[ 7, 0, 0, 0, 0, 0 ]
3.3
33
0
33
0
[ 4, 0, 0, 0, 0, 0 ]
[ 4, 0, 0, 0, 0, 0 ]
3.4
34
0
34
0
[ -5, 0, 0, 0, 0, 0 ]
[ -5, 0, 0, 0, 0, 0 ]
3.5
35
0
35
0
[ -10, 0, 0, 0, 0, 0 ]
[ -10, 0, 0, 0, 0, 0 ]
3.6
36
0
36
0
[ -16, 0, 0, 0, 0, 0 ]
[ -16, 0, 0, 0, 0, 0 ]
3.7
37
0
37
0
[ -23, 0, 0, 0, 0, 0 ]
[ -23, 0, 0, 0, 0, 0 ]
3.8
38
0
38
0
[ -30, 0, 0, 0, 0, 0 ]
[ -30, 0, 0, 0, 0, 0 ]
3.9
39
0
39
0
[ -32, 0, 0, 0, 0, 0 ]
[ -32, 0, 0, 0, 0, 0 ]
4
40
0
40
0
[ -34, 0, 0, 0, 0, 0 ]
[ -34, 0, 0, 0, 0, 0 ]
4.1
41
0
41
0
[ -36, 0, 0, 0, 0, 0 ]
[ -36, 0, 0, 0, 0, 0 ]
4.2
42
0
42
0
[ -39, 0, 0, 0, 0, 0 ]
[ -39, 0, 0, 0, 0, 0 ]
4.3
43
0
43
0
[ -42, 0, 0, 0, 0, 0 ]
[ -42, 0, 0, 0, 0, 0 ]
4.4
44
0
44
0
[ -43, 0, 0, 0, 0, 0 ]
[ -43, 0, 0, 0, 0, 0 ]
4.5
45
0
45
0
[ -46, 0, 0, 0, 0, 0 ]
[ -46, 0, 0, 0, 0, 0 ]
4.6
46
0
46
0
[ -48, 0, 0, 0, 0, 0 ]
[ -48, 0, 0, 0, 0, 0 ]
4.7
47
0
47
0
[ -51, 0, 0, 0, 0, 0 ]
[ -51, 0, 0, 0, 0, 0 ]
4.8
48
0
48
0
[ -55, 0, 0, 0, 0, 0 ]
[ -55, 0, 0, 0, 0, 0 ]
4.9
49
0
49
0
[ -64, 0, 0, 0, 0, 0 ]
[ -64, 0, 0, 0, 0, 0 ]
5
50
0
50
0
[ -69, 0, 0, 0, 0, 0 ]
[ -69, 0, 0, 0, 0, 0 ]
5.1
51
0
51
0
[ -75, 0, 0, 0, 0, 0 ]
[ -75, 0, 0, 0, 0, 0 ]
5.2
52
0
52
0
[ -82, 0, 0, 0, 0, 0 ]
[ -82, 0, 0, 0, 0, 0 ]
5.3
53
0
53
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
5.4
54
0
54
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
5.5
55
0
55
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
5.6
56
0
56
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
5.7
57
0
57
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
5.8
58
0
58
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
5.9
59
0
59
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
6
60
0
60
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
6.1
61
0
61
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
6.2
62
0
62
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
6.3
63
0
63
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
6.4
64
0
64
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
6.5
65
0
65
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
6.6
66
0
66
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0
0
1
67
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.1
1
1
68
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.2
2
1
69
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.3
3
1
70
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.4
4
1
71
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.5
5
1
72
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.6
6
1
73
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.7
7
1
74
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.8
8
1
75
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.9
9
1
76
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
1
10
1
77
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
1.1
11
1
78
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0
0
2
79
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.1
1
2
80
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.2
2
2
81
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.3
3
2
82
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.4
4
2
83
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.5
5
2
84
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.6
6
2
85
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.7
7
2
86
0
[ -90, 0, 0, 0, 0, 0 ]
[ -90, 0, 0, 0, 0, 0 ]
0.8
8
2
87
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
0.9
9
2
88
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
1
10
2
89
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
1.1
11
2
90
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
1.2
12
2
91
0
[ -89, 0, 0, 0, 0, 0 ]
[ -89, 0, 0, 0, 0, 0 ]
1.3
13
2
92
0
[ -88, 0, 0, 0, 0, 0 ]
[ -88, 0, 0, 0, 0, 0 ]
1.4
14
2
93
0
[ -87, 0, 0, 0, 0, 0 ]
[ -87, 0, 0, 0, 0, 0 ]
1.5
15
2
94
0
[ -85, 0, 0, 0, 0, 0 ]
[ -85, 0, 0, 0, 0, 0 ]
1.6
16
2
95
0
[ -83, 0, 0, 0, 0, 0 ]
[ -83, 0, 0, 0, 0, 0 ]
1.7
17
2
96
0
[ -80, 0, 0, 0, 0, 0 ]
[ -80, 0, 0, 0, 0, 0 ]
1.8
18
2
97
0
[ -72, 0, 0, 0, 0, 0 ]
[ -72, 0, 0, 0, 0, 0 ]
1.9
19
2
98
0
[ -67, 0, 0, 0, 0, 0 ]
[ -67, 0, 0, 0, 0, 0 ]
2
20
2
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "custom_aria_1dof",
    "total_episodes": 160,
    "total_frames": 7148,
    "total_tasks": 1,
    "total_videos": 160,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 10,
    "splits": {
        "train": "0:160"
    },
    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
    "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
    "features": {
        "observation.state": {
            "dtype": "float32",
            "shape": [
                6
            ],
            "names": [
                "joint_1",
                "joint_2",
                "joint_3",
                "joint_4",
                "joint_5",
                "joint_6"
            ]
        },
        "observation.image": {
            "dtype": "video",
            "shape": [
                322,
                322,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "info": {
                "video.fps": 10,
                "video.height": 322,
                "video.width": 322,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                6
            ],
            "names": [
                "joint_1",
                "joint_2",
                "joint_3",
                "joint_4",
                "joint_5",
                "joint_6"
            ]
        },
        "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
197

Models trained or fine-tuned on cchenalds17/svla_custom_aria_1dof_point_glasses