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yananchen/robomimic_ph__lift_can_square_toolhang

This dataset was created using LeRobot. Dataset Description From repo: https://robomimic.github.io/docs/datasets/robomimic_v0.1.html four tasks included: lift the cube, pick and place can, square and tool hanging (each task has 200 episodes) The collected trajectories are only from Proficient-Human (PH) operator. This dataset can be directly used to train VLA models such as openpi. (lerobot v2.1 is more compatible, this dataset is of v3.0) Homepage: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/yananchen/robomimic_ph__lift_can_square_toolhang.

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face
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Dataset Card

This dataset was created using LeRobot.

Dataset Description

From repo: https://robomimic.github.io/docs/datasets/robomimic_v0.1.html

four tasks included: lift the cube, pick and place can, square and tool hanging (each task has 200 episodes)

The collected trajectories are only from Proficient-Human (PH) operator.

This dataset can be directly used to train VLA models such as openpi. (lerobot v2.1 is more compatible, this dataset is of v3.0)

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

Dataset Structure

meta/info.json:

json
{
    "codebase_version": "v3.0",
    "robot_type": "panda",
    "total_episodes": 800,
    "total_frames": 158989,
    "total_tasks": 4,
    "chunks_size": 1000,
    "fps": 10,
    "splits": {
        "train": "0:800"
    },
    "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": {
        "image": {
            "dtype": "image",
            "shape": [
                256,
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            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "fps": 10
        },
        "wrist_image": {
            "dtype": "image",
            "shape": [
                256,
                256,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "fps": 10
        },
        "state": {
            "dtype": "float32",
            "shape": [
                8
            ],
            "names": [
                "state"
            ],
            "fps": 10
        },
        "actions": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": [
                "actions"
            ],
            "fps": 10
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null,
            "fps": 10
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null,
            "fps": 10
        },
        "episode_index": {
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            "shape": [
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            ],
            "names": null,
            "fps": 10
        },
        "index": {
            "dtype": "int64",
            "shape": [
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            ],
            "names": null,
            "fps": 10
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
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            "names": null,
            "fps": 10
        }
    },
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200
}

Citation

BibTeX:

bibtex
[More Information Needed]