Datasetpublic

AdilZtn/Maniskill-Pushcube-demonstration-medium

This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.0", "robot_type": null, "total_episodes": 500, "total_frames": 0, "total_tasks": 0, "total_videos": 0, "total_chunks": 0, "chunks_size": 1000, "fps": 20, "splits": {}, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the full description on the dataset page: https://huggingface.co/datasets/AdilZtn/Maniskill-Pushcube-demonstration-medium.

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

1likes269downloads

Dataset Card

This dataset was created using LeRobot.

Dataset Description

—Homepage: [More Information Needed]
—Paper: [More Information Needed]
—License: apache-2.0

Dataset Structure

meta/info.json:

json

{
    "codebase_version": "v2.0",
    "robot_type": null,
    "total_episodes": 500,
    "total_frames": 0,
    "total_tasks": 0,
    "total_videos": 0,
    "total_chunks": 0,
    "chunks_size": 1000,
    "fps": 20,
    "splits": {},
    "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": {
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "action": {
            "dtype": "float32",
            "shape": [
                7
            ]
        },
        "next.reward": {
            "dtype": "float32",
            "shape": [
                1
            ]
        },
        "next.done": {
            "dtype": "bool",
            "shape": [
                1
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                25
            ]
        },
        "observation.image": {
            "dtype": "image",
            "shape": [
                3,
                64,
                64
            ]
        }
    }
}

Citation

BibTeX:

bibtex

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