CoolFace
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continuallearning/libero_10_image_task_2

This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": null, "total_episodes": 50, "total_frames": 13298, "total_tasks": 1, "total_videos": 0, "total_chunks": 1, "chunks_size": 1000, "fps": 20, "splits": { "train": "0:50" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": null, "features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_10_image_task_2.

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face
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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": "v2.1",
    "robot_type": null,
    "total_episodes": 50,
    "total_frames": 13298,
    "total_tasks": 1,
    "total_videos": 0,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 20,
    "splits": {
        "train": "0:50"
    },
    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
    "video_path": null,
    "features": {
        "observation.images.image": {
            "dtype": "image",
            "shape": [
                256,
                256,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ]
        },
        "observation.images.wrist_image": {
            "dtype": "image",
            "shape": [
                256,
                256,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ]
        },
        "observation.state.end_effector": {
            "dtype": "float32",
            "shape": [
                8
            ],
            "names": {
                "motors": [
                    "x",
                    "y",
                    "z",
                    "roll",
                    "pitch",
                    "yaw",
                    "gripper",
                    "gripper"
                ]
            }
        },
        "observation.state.joint": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": {
                "motors": [
                    "joint_1",
                    "joint_2",
                    "joint_3",
                    "joint_4",
                    "joint_5",
                    "joint_6",
                    "joint_7"
                ]
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": {
                "motors": [
                    "x",
                    "y",
                    "z",
                    "roll",
                    "pitch",
                    "yaw",
                    "gripper"
                ]
            }
        },
        "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
        }
    }
}

Citation

BibTeX:

bibtex
@article{romer2026clare,
  title={CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion},
  author={Ralf R{\"o}mer and Yi Zhang and Angela P. Schoellig},
  journal={arXiv preprint arXiv:2601.09512}             ,
  year={2026}
}