| path: AIRBOT_MMK2_open_notebook |
| dataset_name: open_notebook |
| robot_type: '' |
| end_effector_type: |
| - five_finger_hand |
| scene_type: [] |
| atomic_actions: |
| - grasp |
| - open |
| - hold |
| tasks: Static |
| objects: |
| - object_name: table |
| level1: furniture |
| level2: table |
| level3: null |
| level4: null |
| level5: null |
| - object_name: notebook |
| level1: office_supplies |
| level2: notebook |
| level3: null |
| level4: null |
| level5: null |
| operation_platform_height: 77.2 |
| frame_range: 0-11734 |
| dataset_size: 432.3MB |
| statistics: |
| total_episodes: 50 |
| total_frames: 11734 |
| total_tasks: 1 |
| total_videos: 200 |
| total_chunks: 1 |
| chunks_size: 1000 |
| fps: 30 |
| dataset_uuid: f7156fc6-87bb-4662-b1ff-9cf8de2c4742 |
| language: |
| - en |
| - zh |
| task_categories: |
| - robotics |
| sub_tasks: |
| - Static |
| - End |
| - Release the laptop with the right gripper |
| - Press the laptop with the right gripper |
| - Open the laptop with the left gripper |
| - Grasp the laptop with the left gripper |
| - 'null' |
| annotations: |
| subtask_annotation: auto_generated |
| scene_annotation: auto_generated |
| eef_direction: auto_generated |
| eef_velocity: auto_generated |
| eef_acc_mag: auto_generated |
| gripper_mode: auto_generated |
| gripper_activity: auto_generated |
| authors: |
| contributed_by: |
| - name: RoboCOIN |
| url: https://flagopen.github.io/RoboCOIN/ |
| affiliation: RoboCOIN Team |
| annotated_by: |
| - name: RoboCOIN |
| url: https://flagopen.github.io/RoboCOIN/ |
| affiliation: RoboCOIN Team |
| homepage: https://flagopen.github.io/RoboCOIN/ |
| paper: https://arxiv.org/abs/2511.17441 |
| repository: https://github.com/FlagOpen/RoboCOIN |
| license: apache-2.0 |
| tags: |
| - RoboCOIN |
| - LeRobot |
| citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\ |
| \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\ |
| \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\ |
| \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\ |
| \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\ |
| \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\ |
| \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\ |
| \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\ |
| \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\ |
| \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\ |
| \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\ |
| \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\ |
| \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\ |
| \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\ |
| \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\ |
| \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\ |
| \ }" |
| depth_enabled: false |
| data_schema: "AIRBOT_MMK2_open_notebook_qced_hardlink/\nβββ annotations/\nβ βββ\ |
| \ eef_acc_mag_annotation.jsonl\nβ βββ eef_direction_annotation.jsonl\nβ βββ\ |
| \ eef_velocity_annotation.jsonl\nβ βββ gripper_activity_annotation.jsonl\nβ \ |
| \ βββ gripper_mode_annotation.jsonl\nβ βββ (...)\nβββ data/\nβ βββ chunk-000/\n\ |
| β βββ episode_000000.parquet\nβ βββ episode_000001.parquet\nβ \ |
| \ βββ episode_000002.parquet\nβ βββ episode_000003.parquet\nβ βββ episode_000004.parquet\n\ |
| β βββ (...)\nβββ meta/\nβ βββ episodes.jsonl\nβ βββ episodes_stats.jsonl\n\ |
| β βββ info.json\nβ βββ tasks.jsonl\nβββ videos/\n βββ chunk-000/\n \ |
| \ βββ observation.images.cam_high_rgb/\n β βββ episode_000000.mp4\n \ |
| \ β βββ episode_000001.mp4\n β βββ episode_000002.mp4\n β\ |
| \ βββ episode_000003.mp4\n β βββ episode_000004.mp4\n β βββ\ |
| \ (...)\n βββ observation.images.cam_left_wrist_rgb/\n β βββ episode_000000.mp4\n\ |
| \ β βββ episode_000001.mp4\n β βββ episode_000002.mp4\n \ |
| \ β βββ episode_000003.mp4\n β βββ episode_000004.mp4\n β βββ\ |
| \ (...)\n βββ observation.images.cam_right_wrist_rgb/\n β βββ episode_000000.mp4\n\ |
| \ β βββ episode_000001.mp4\n β βββ episode_000002.mp4\n \ |
| \ β βββ episode_000003.mp4\n β βββ episode_000004.mp4\n β βββ\ |
| \ (...)\n βββ observation.images.cam_third_view/\n βββ episode_000000.mp4\n\ |
| \ βββ episode_000001.mp4\n βββ episode_000002.mp4\n \ |
| \ βββ episode_000003.mp4\n βββ episode_000004.mp4\n βββ\ |
| \ (...)" |
| structure: "AIRBOT_MMK2_open_notebook_qced_hardlink/\nβββ annotations/\nβ βββ eef_acc_mag_annotation.jsonl\n\ |
| β βββ eef_direction_annotation.jsonl\nβ βββ eef_velocity_annotation.jsonl\n\ |
| β βββ gripper_activity_annotation.jsonl\nβ βββ gripper_mode_annotation.jsonl\n\ |
| β βββ (...)\nβββ data/\nβ βββ chunk-000/\nβ βββ episode_000000.parquet\n\ |
| β βββ episode_000001.parquet\nβ βββ episode_000002.parquet\nβ \ |
| \ βββ episode_000003.parquet\nβ βββ episode_000004.parquet\nβ βββ (...)\n\ |
| βββ meta/\nβ βββ episodes.jsonl\nβ βββ episodes_stats.jsonl\nβ βββ info.json\n\ |
| β βββ tasks.jsonl\nβββ videos/\n βββ chunk-000/\n βββ observation.images.cam_high_rgb/\n\ |
| \ β βββ episode_000000.mp4\n β βββ episode_000001.mp4\n \ |
| \ β βββ episode_000002.mp4\n β βββ episode_000003.mp4\n β βββ\ |
| \ episode_000004.mp4\n β βββ (...)\n βββ observation.images.cam_left_wrist_rgb/\n\ |
| \ β βββ episode_000000.mp4\n β βββ episode_000001.mp4\n \ |
| \ β βββ episode_000002.mp4\n β βββ episode_000003.mp4\n β βββ\ |
| \ episode_000004.mp4\n β βββ (...)\n βββ observation.images.cam_right_wrist_rgb/\n\ |
| \ β βββ episode_000000.mp4\n β βββ episode_000001.mp4\n \ |
| \ β βββ episode_000002.mp4\n β βββ episode_000003.mp4\n β βββ\ |
| \ episode_000004.mp4\n β βββ (...)\n βββ observation.images.cam_third_view/\n\ |
| \ βββ episode_000000.mp4\n βββ episode_000001.mp4\n \ |
| \ βββ episode_000002.mp4\n βββ episode_000003.mp4\n βββ\ |
| \ episode_000004.mp4\n βββ (...)" |
|
|