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Datasets:
ninjaoden
/
nmini_pick

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
10K - 100K
Tags:
LeRobot
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
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float32
0
14.9
frame_index
int64
0
448
episode_index
int64
0
49
index
int64
0
22.4k
task_index
int64
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[ 28.659339904785156, -2.549450635910034, 14.15384578704834, 0.35164836049079895, -3.3406593799591064, 30.241758346557617, 22.734899520874023 ]
3.233333
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97
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[ 30.85714340209961, 1.4065934419631958, 9.406593322753906, 0.7032967209815979, -2.0219781398773193, 31.296703338623047, 24.324323654174805 ]
[ 28.83516502380371, -1.582417607307434, 12.483516693115234, 0.7032967209815979, -3.076923131942749, 30.505495071411133, 22.734899520874023 ]
3.266667
98
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98
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[ 30.85714340209961, 2.8131868839263916, 6.857142925262451, 0.6153846383094788, -1.6703296899795532, 31.296703338623047, 24.324323654174805 ]
[ 29.010988235473633, -0.35164836049079895, 10.725275039672852, 0.7032967209815979, -3.076923131942749, 30.681318283081055, 22.734899520874023 ]
3.3
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": "nmini_follower",
    "total_episodes": 50,
    "total_frames": 22450,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "fps": 30,
    "splits": {
        "train": "0:50"
    },
    "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": {
        "action": {
            "dtype": "float32",
            "names": [
                "larm_joint0.pos",
                "larm_joint1.pos",
                "larm_joint2.pos",
                "larm_joint3.pos",
                "larm_joint4.pos",
                "larm_joint5.pos",
                "larm_finger_joint.pos"
            ],
            "shape": [
                7
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "names": [
                "larm_joint0.pos",
                "larm_joint1.pos",
                "larm_joint2.pos",
                "larm_joint3.pos",
                "larm_joint4.pos",
                "larm_joint5.pos",
                "larm_finger_joint.pos"
            ],
            "shape": [
                7
            ]
        },
        "observation.images.front": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "observation.images.wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
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            ],
            "names": null
        },
        "index": {
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        "task_index": {
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            "names": null
        }
    }
}

Citation

BibTeX:

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License:
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Size of downloaded dataset files:
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Number of rows:
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