Episodes Preview SO-101 Visualizer
50 episodes · 30 fps · 2 cameras · 128×128 av1

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:


{

    "codebase_version": "v3.0",

    "fps": 30,

    "features": {

        "observation.state": {

            "dtype": "float32",

            "shape": [

                6

            ],

            "names": [

                "shoulder_pan.pos",

                "shoulder_lift.pos",

                "elbow_flex.pos",

                "wrist_flex.pos",

                "wrist_roll.pos",

                "gripper.pos"

            ]

        },

        "action": {

            "dtype": "float32",

            "shape": [

                6

            ],

            "names": [

                "shoulder_pan.pos",

                "shoulder_lift.pos",

                "elbow_flex.pos",

                "wrist_flex.pos",

                "wrist_roll.pos",

                "gripper.pos"

            ]

        },

        "observation.images.front": {

            "dtype": "video",

            "shape": [

                128,

                128,

                3

            ],

            "names": [

                "height",

                "width",

                "channels"

            ],

            "info": {

                "video.height": 128,

                "video.width": 128,

                "video.codec": "av1",

                "video.pix_fmt": "yuv420p",

                "video.fps": 30,

                "video.channels": 3,

                "has_audio": false,

                "video.g": 2,

                "video.crf": 30,

                "video.preset": 12,

                "video.fast_decode": 0,

                "video.video_backend": "pyav",

                "video.extra_options": {},

                "is_depth_map": false

            }

        },

        "observation.images.wrist": {

            "dtype": "video",

            "shape": [

                128,

                128,

                3

            ],

            "names": [

                "height",

                "width",

                "channels"

            ],

            "info": {

                "video.height": 128,

                "video.width": 128,

                "video.codec": "av1",

                "video.pix_fmt": "yuv420p",

                "video.fps": 30,

                "video.channels": 3,

                "has_audio": false,

                "video.g": 2,

                "video.crf": 30,

                "video.preset": 12,

                "video.fast_decode": 0,

                "video.video_backend": "pyav",

                "video.extra_options": {},

                "is_depth_map": 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

        }

    },

    "total_episodes": 50,

    "total_frames": 9078,

    "total_tasks": 1,

    "chunks_size": 1000,

    "data_files_size_in_mb": 100,

    "video_files_size_in_mb": 200,

    "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",

    "robot_type": "so101_sim",

    "splits": {

        "train": "0:50"

    }

}

Citation

BibTeX:


[More Information Needed]

Part of webcam-teach-robot: teaching a simulated SO-101 arm from webcam hand demonstrations and measuring how monocular depth error affects imitation learning. No webcam video or images of people: numbers and simulation renders only.

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Models trained or fine-tuned on kheechan04/webcam-teach-robot-cond1-scripted