Datasets:

tmeynier
/

cnc_test

action float32 1.27k 3.02k	observation.state float32 1.27k 3.01k	timestamp float32 0 4.97	frame_index int64 0 149	index int64 0 3k
2,786	2,045	0	0	0
2,786	2,065	0.033333	1	1
2,786	2,152	0.066667	2	2
2,786	2,254	0.1	3	3
2,786	2,362	0.133333	4	4
2,786	2,472	0.166667	5	5
2,786	2,578	0.2	6	6
2,786	2,687	0.233333	7	7
2,786	2,775	0.266667	8	8
2,786	2,780	0.3	9	9
2,786	2,781	0.333333	10	10
2,786	2,784	0.366667	11	11
2,786	2,784	0.4	12	12
2,786	2,784	0.433333	13	13
2,786	2,784	0.466667	14	14
2,786	2,784	0.5	15	15
2,786	2,784	0.533333	16	16
2,786	2,784	0.566667	17	17
2,786	2,784	0.6	18	18
2,786	2,784	0.633333	19	19
2,786	2,784	0.666667	20	20
2,786	2,784	0.7	21	21
2,786	2,784	0.733333	22	22
2,786	2,784	0.766667	23	23
2,786	2,784	0.8	24	24
2,786	2,784	0.833333	25	25
2,786	2,784	0.866667	26	26
2,786	2,784	0.9	27	27
2,786	2,784	0.933333	28	28
2,786	2,784	0.966667	29	29
2,796	2,784	1	30	30
2,826	2,790	1.033333	31	31
2,846	2,807	1.066667	32	32
2,866	2,832	1.1	33	33
2,886	2,851	1.133333	34	34
2,896	2,870	1.166667	35	35
2,896	2,887	1.2	36	36
2,896	2,893	1.233333	37	37
2,896	2,894	1.266667	38	38
2,896	2,894	1.3	39	39
2,896	2,894	1.333333	40	40
2,896	2,894	1.366667	41	41
2,896	2,894	1.4	42	42
2,896	2,894	1.433333	43	43
2,896	2,894	1.466667	44	44
2,896	2,894	1.5	45	45
2,896	2,894	1.533333	46	46
2,896	2,894	1.566667	47	47
2,896	2,894	1.6	48	48
2,896	2,894	1.633333	49	49
2,896	2,894	1.666667	50	50
2,896	2,894	1.7	51	51
2,896	2,894	1.733333	52	52
2,896	2,894	1.766667	53	53
2,896	2,894	1.8	54	54
2,896	2,894	1.833333	55	55
2,896	2,894	1.866667	56	56
2,896	2,894	1.9	57	57
2,896	2,894	1.933333	58	58
2,896	2,894	1.966667	59	59
2,896	2,894	2	60	60
2,896	2,894	2.033333	61	61
2,896	2,894	2.066667	62	62
2,896	2,894	2.1	63	63
2,896	2,894	2.133333	64	64
2,896	2,894	2.166667	65	65
2,896	2,894	2.2	66	66
2,896	2,894	2.233333	67	67
2,896	2,894	2.266667	68	68
2,896	2,894	2.3	69	69
2,896	2,894	2.333333	70	70
2,896	2,894	2.366667	71	71
2,896	2,894	2.4	72	72
2,896	2,894	2.433333	73	73
2,896	2,894	2.466667	74	74
2,896	2,894	2.5	75	75
2,896	2,894	2.533333	76	76
2,896	2,894	2.566667	77	77
2,896	2,894	2.6	78	78
2,896	2,894	2.633333	79	79
2,896	2,894	2.666667	80	80
2,896	2,894	2.7	81	81
2,896	2,894	2.733333	82	82
2,896	2,894	2.766667	83	83
2,896	2,894	2.8	84	84
2,896	2,894	2.833333	85	85
2,896	2,894	2.866667	86	86
2,896	2,894	2.9	87	87
2,896	2,894	2.933333	88	88
2,896	2,894	2.966667	89	89
2,896	2,894	3	90	90
2,896	2,894	3.033333	91	91
2,896	2,894	3.066667	92	92
2,896	2,894	3.1	93	93
2,896	2,894	3.133333	94	94
2,896	2,894	3.166667	95	95
2,896	2,894	3.2	96	96
2,896	2,894	3.233333	97	97
2,896	2,894	3.266667	98	98
2,896	2,894	3.3	99	99

End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "cnc",
    "total_episodes": 20,
    "total_frames": 3000,
    "total_tasks": 1,
    "total_videos": 20,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:20"
    },
    "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": {
        "action": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": [
                "main_cnc_x"
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": [
                "main_cnc_x"
            ]
        },
        "observation.images.laptop": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 30.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "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: 7

License:

apache-2.0

Size of downloaded dataset files:

116 kB

Size of the auto-converted Parquet files:

116 kB

Number of rows:

3,000