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Datasets:
Reo10
/
test12

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
10K - 100K
Tags:
LeRobot
Libraries:
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pandas
License:
Dataset card Data Studio Files
xet
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float32
0
27
frame_index
int64
0
810
episode_index
int64
0
99
index
int64
0
50k
task_index
int64
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3.3
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End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "robot_type": "so101_follower",
    "total_episodes": 100,
    "total_frames": 49988,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 500,
    "fps": 30,
    "splits": {
        "train": "0:100"
    },
    "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": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.images.top": {
            "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.top": {
            "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
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            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
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            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
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            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
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            "names": null
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        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

[More Information Needed]

Command

lerobot-record
--robot.type=so101_follower
--robot.port=/dev/ttyACM0
--robot.id=my_awesome_follower_arm
--teleop.type=so101_leader
--teleop.port=/dev/ttyACM1
--teleop.id=my_awesome_leader_arm
--robot.cameras='{ "top": { "type": "opencv", "index_or_path": "/dev/video0", "width": 640, "height": 480, "fps": 30 }, "wrist.top": { "type": "opencv", "index_or_path": "/dev/video2", "width": 640, "height": 480, "fps": 30, "rotation": "ROTATE_180" } }'
--display_data=true
--dataset.repo_id=${HF_USER}/test12
--dataset.single_task="Pick the red block and put it in the blue area."
--dataset.episode_time_s=120
--dataset.reset_time_s=0
--dataset.num_episodes=100
--dataset.push_to_hub=true

Downloads last month
6
License:
apache-2.0
Size of downloaded dataset files:
2.16 MB
Size of the auto-converted Parquet files:
2.16 MB
Number of rows:
49,988