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Traly/RoboMIND-lerobot

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Hugging Face2026-03-03 更新2026-03-29 收录
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--- license: cc-by-nc-4.0 tags: - lerobot - robotics - manipulation - RoboMIND configs: - config_name: agilex_3rgb data_files: - split: train path: agilex_3rgb/data/**/*.parquet metadata: - split: train path: agilex_3rgb/meta/** - config_name: franka_1rgb data_files: - split: train path: franka_1rgb/data/**/*.parquet metadata: - split: train path: franka_1rgb/meta/** - config_name: franka_fr3_dual data_files: - split: train path: franka_fr3_dual/data/**/*.parquet metadata: - split: train path: franka_fr3_dual/meta/** - config_name: ur_1rgb data_files: - split: train path: ur_1rgb/data/**/*.parquet metadata: - split: train path: ur_1rgb/meta/** --- # RoboMIND-lerobot (Unofficial Partial Conversion) > **This is an unofficial conversion** of a subset of the [RoboMIND](https://huggingface.co/datasets/x-humanoid-robomind/RoboMIND) dataset into [LeRobot v3.0](https://github.com/huggingface/lerobot) format. > > **This repository does NOT contain the full RoboMIND dataset.** Only a selection of embodiments has been converted. For the complete official dataset, please visit: [x-humanoid-robomind/RoboMIND](https://huggingface.co/datasets/x-humanoid-robomind/RoboMIND). ## Included Subsets | Config Name | Robot | Episodes | Frames | Tasks | Cameras | Arm Config | |---|---|---|---|---|---|---| | `agilex_3rgb` | AgileX | 8,638 | 5,431,759 | 53 | front, left_wrist, right_wrist | Dual-arm (left + right) | | `franka_1rgb` | Franka Panda | 5,333 | 943,842 | 2 | top | Single-arm | | `franka_fr3_dual` | Franka FR3 | 1,774 | 375,807 | 6 | front, top, left, right | Dual-arm (left + right) | | `ur_1rgb` | Universal Robots | 25,002 | 3,766,292 | 114 | top | Single-arm | **Total: 40,747 episodes / 10,517,700 frames across 4 embodiments** ## Data Format All subsets follow LeRobot v3.0 format: - **Video codec:** AV1 (yuv420p) - **FPS:** 30 - **Data:** Parquet files with chunked storage ### Features per subset Each subset provides: - `observation.images.*` — RGB video streams from onboard cameras - `observation.states.end_effector` — End-effector pose (cartesian position + orientation) - `observation.states.joint_position` — Joint angles + gripper position - `observation.states.gripper` — Gripper state (extracted from joint position) - `actions.end_effector` — Action in end-effector space - `actions.joint_position` — Action in joint space - `actions.gripper` — Gripper action - `timestamp`, `frame_index`, `episode_index`, `index`, `task_index` > Note: Dual-arm subsets (`agilex_3rgb`, `franka_fr3_dual`) split states/actions into left/right components. ## Usage ```python from lerobot.common.datasets.lerobot_dataset import LeRobotDataset # Load a specific subset dataset = LeRobotDataset("Traly/RoboMIND-lerobot", subset="ur_1rgb") ``` ## Citation If you use this data, please cite the original RoboMIND paper: ```bibtex @article{robomind2024, title={RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation}, author={Yan, Kun Wu and Fanqi, Lin and Haoran, Geng and Yong, Jia Li and Jia, Zeng and Jia, Jie Pan and Gang, Zeng and Wen, Hui Liang and Hao, Dong}, journal={arXiv preprint arXiv:2412.13877}, year={2024} } ``` ## Disclaimer This is a community conversion for research convenience. The original data is collected and owned by the RoboMIND team. Please refer to the [official repository](https://huggingface.co/datasets/x-humanoid-robomind/RoboMIND) for the authoritative source and full dataset.
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