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Datasets:
naavox
/
stringman-socks-2

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
10K - 100K
Tags:
LeRobot
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Dask
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float32
0
38.7
frame_index
int64
0
1.16k
episode_index
int64
0
41
index
int64
0
27.3k
task_index
int64
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1.7
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1.9
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2
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2.1
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2.133333
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2.2
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2.233333
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2.3
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2.333333
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2.366667
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2.4
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2.433333
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2.466667
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2.5
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2.533333
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2.566667
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2.6
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2.633333
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2.666667
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2.7
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2.733333
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2.766667
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2.8
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2.833333
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2.866667
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2.9
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2.933333
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2.966667
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3
90
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3.033333
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3.066667
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3.1
93
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3.133333
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3.166667
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3.2
96
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3.233333
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3.266667
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3.3
99
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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "robot_type": "stringman",
    "total_episodes": 42,
    "total_frames": 27325,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 500,
    "fps": 30,
    "splits": {
        "train": "0:42"
    },
    "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",
            "shape": [
                5
            ],
            "names": [
                "gantry_pos_x",
                "gantry_pos_y",
                "gantry_pos_z",
                "winch_line_length",
                "finger_angle"
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                10
            ],
            "names": [
                "gantry_pos_x",
                "gantry_pos_y",
                "gantry_pos_z",
                "winch_line_length",
                "finger_angle",
                "gripper_imu_rot_x",
                "gripper_imu_rot_y",
                "gripper_imu_rot_z",
                "laser_rangefinder",
                "finger_pad_voltage"
            ]
        },
        "observation.images.anchor_camera_0": {
            "dtype": "video",
            "shape": [
                360,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 360,
                "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.anchor_camera_1": {
            "dtype": "video",
            "shape": [
                360,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 360,
                "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.gripper_camera": {
            "dtype": "video",
            "shape": [
                360,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 360,
                "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": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
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            "names": null
        }
    }
}

Citation

BibTeX:

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License:
apache-2.0
Size of downloaded dataset files:
1.89 MB
Size of the auto-converted Parquet files:
1.89 MB
Number of rows:
27,325