diff --git a/dataset_info/Agilex_Cobot_Magic_close_drawer_bottom.yaml b/dataset_info/Agilex_Cobot_Magic_close_drawer_bottom.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2e31314eedbbfd2633bac62bc260ff00de27ec61 --- /dev/null +++ b/dataset_info/Agilex_Cobot_Magic_close_drawer_bottom.yaml @@ -0,0 +1,502 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Agilex_Cobot_Magic_close_drawer_bottom +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: office_workspace + level2: office + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: home_storage + level2: table + level3: null + level4: null + level5: null +- object_name: three_layer_transparent_drawer + level1: laboratory_supplies + level2: three_layer_transparent_drawer + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- close the bottom drawer. +sub_tasks: +- subtask: End + subtask_index: 0 +- subtask: Use the right gripper to contact the bottom layer of the storage cabinet + subtask_index: 1 +- subtask: Push the bottom drawer closed + subtask_index: 2 +- subtask: 'null' + subtask_index: 3 +atomic_actions: +- grasp +- push +robot_name: +- Agilex_Cobot_Magic +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 50 + total_frames: 16270 + fps: 30 + total_tasks: 4 + total_videos: 150 + total_chunks: 1 + chunks_size: 1000 + state_dim: 26 + action_dim: 26 + camera_views: 3 + dataset_size: 157.62 MB +frame_num: 16270 +dataset_size: 157.62 MB +data_structure: 'Agilex_Cobot_Magic_close_drawer_bottom_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- backup + + | |-- data + + | | `-- chunk-000 + + | `-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (38 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:49 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + dtype: int32 + shape: + - 5 + scene_annotation: + names: null + dtype: int32 + shape: + - 1 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/dataset_info/Agilex_Cobot_Magic_close_drawer_upper.yaml b/dataset_info/Agilex_Cobot_Magic_close_drawer_upper.yaml new file mode 100644 index 0000000000000000000000000000000000000000..824eb88260fffd42a221091ad76a3ba481c271b5 --- /dev/null +++ b/dataset_info/Agilex_Cobot_Magic_close_drawer_upper.yaml @@ -0,0 +1,506 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Agilex_Cobot_Magic_close_drawer_upper +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: office_workspace + level2: office + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: home_storage + level2: table + level3: null + level4: null + level5: null +- object_name: three_layer_transparent_drawer + level1: laboratory_supplies + level2: three-layer_transparent_drawer + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- close the upper drawer. +sub_tasks: +- subtask: Use the right gripper to touch the topmost layer of the storage cabinet + subtask_index: 0 +- subtask: Push the top drawer closed + subtask_index: 1 +- subtask: Use the right gripper to contact the middle shelf of the cabinet + subtask_index: 2 +- subtask: End + subtask_index: 3 +- subtask: Push the middle drawer closed + subtask_index: 4 +- subtask: 'null' + subtask_index: 5 +atomic_actions: +- grasp +- push +robot_name: +- Agilex_Cobot_Magic +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 173 + total_frames: 49994 + fps: 30 + total_tasks: 6 + total_videos: 519 + total_chunks: 1 + chunks_size: 1000 + state_dim: 26 + action_dim: 26 + camera_views: 3 + dataset_size: 522.40 MB +frame_num: 49994 +dataset_size: 522.40 MB +data_structure: 'Agilex_Cobot_Magic_close_drawer_upper_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- backup + + | |-- data + + | | `-- chunk-000 + + | `-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (161 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:172 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/dataset_info/Agilex_Cobot_Magic_erase_board_left_side.yaml b/dataset_info/Agilex_Cobot_Magic_erase_board_left_side.yaml new file mode 100644 index 0000000000000000000000000000000000000000..aa8137401e836bee4a5f9aa8eb0467821ef1eee3 --- /dev/null +++ b/dataset_info/Agilex_Cobot_Magic_erase_board_left_side.yaml @@ -0,0 +1,518 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Agilex_Cobot_Magic_erase_board_left_side +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: education + level2: school + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: home_storage + level2: table + level3: null + level4: null + level5: null +- object_name: whiteboard + level1: stationery + level2: whiteboard + level3: null + level4: null + level5: null +- object_name: red_whiteboard_Eraser + level1: stationery + level2: red_whiteboard_Eraser + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- wipe off the handwriting on the whiteboard. +sub_tasks: +- subtask: Place the eraser with the left gripper + subtask_index: 0 +- subtask: Grasp the eraser with the left gripper + subtask_index: 1 +- subtask: End + subtask_index: 2 +- subtask: Grasp the eraser and wipe the blackboard with the right gripper + subtask_index: 3 +- subtask: Place the eraser with the right gripper + subtask_index: 4 +- subtask: Grasp the eraser with the right gripper + subtask_index: 5 +- subtask: Grasp the eraser and wipe the blackboard with the left gripper + subtask_index: 6 +- subtask: 'null' + subtask_index: 7 +atomic_actions: +- grasp +- lift +- lower +- wipe +robot_name: +- Agilex_Cobot_Magic +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 101 + total_frames: 51478 + fps: 30 + total_tasks: 8 + total_videos: 303 + total_chunks: 1 + chunks_size: 1000 + state_dim: 26 + action_dim: 26 + camera_views: 3 + dataset_size: 490.77 MB +frame_num: 51478 +dataset_size: 490.77 MB +data_structure: 'Agilex_Cobot_Magic_erase_board_left_side_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- backup + + | |-- data + + | | `-- chunk-000 + + | `-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (89 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:100 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + dtype: int32 + shape: + - 5 + scene_annotation: + names: null + dtype: int32 + shape: + - 1 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/dataset_info/Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth.yaml b/dataset_info/Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1a88cf564ac93544a4575d364f68967e03c472c3 --- /dev/null +++ b/dataset_info/Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth.yaml @@ -0,0 +1,528 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: office & workspace + level2: office + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: home_storage + level2: table + level3: null + level4: null + level5: null +- object_name: deli_water-based_marker + level1: stationery + level2: deli_water-based_marker + level3: null + level4: null + level5: null +- object_name: notebook + level1: stationery + level2: notebook + level3: null + level4: null + level5: null +- object_name: mouse + level1: appliances + level2: mouse + level3: null + level4: null + level5: null +- object_name: mouse_pad + level1: appliances + level2: mouse_pad + level3: null + level4: null + level5: null +- object_name: black_table_cloths + level1: laboratory_supplies + level2: black_table_cloths + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- the left gripper organize the pen on the notebook then the right gripper organize + the mouse on the mouse pad. +sub_tasks: +- subtask: Right gripper + subtask_index: 0 +- subtask: Pick up the mouse with right gripper + subtask_index: 1 +- subtask: Pick up the marker pen with right gripper + subtask_index: 2 +- subtask: Pick up the mouse with left gripper + subtask_index: 3 +- subtask: End + subtask_index: 4 +- subtask: Place the marker pen on the notebook with right gripper + subtask_index: 5 +- subtask: Place the mouse on the mouse pad with left gripper + subtask_index: 6 +- subtask: Place the marker pen on the notebook with left gripper + subtask_index: 7 +- subtask: Left gripper + subtask_index: 8 +- subtask: Pick up the marker pen with left gripper + subtask_index: 9 +- subtask: Place the mouse on the mouse pad with right gripper + subtask_index: 10 +- subtask: 'null' + subtask_index: 11 +atomic_actions: +- grasp +- lift +- lower +robot_name: +- Agilex_Cobot_Magic +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 30 + total_frames: 20668 + fps: 30 + total_tasks: 12 + total_videos: 90 + total_chunks: 1 + chunks_size: 1000 + state_dim: 26 + action_dim: 26 + camera_views: 3 + dataset_size: 513.70 MB +frame_num: 20668 +dataset_size: 513.70 MB +data_structure: 'Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (18 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:29 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + dtype: int32 + shape: + - 5 + scene_annotation: + names: null + dtype: int32 + shape: + - 1 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/dataset_info/Agilex_Cobot_Magic_open_drawer_bottom.yaml b/dataset_info/Agilex_Cobot_Magic_open_drawer_bottom.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6f0240fe37f8c158ea055b670ab89c51910da9bf --- /dev/null +++ b/dataset_info/Agilex_Cobot_Magic_open_drawer_bottom.yaml @@ -0,0 +1,508 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Agilex_Cobot_Magic_open_drawer_bottom +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: office_workspace + level2: office + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: home_storage + level2: table + level3: null + level4: null + level5: null +- object_name: three_layer_transparent_drawer + level1: laboratory_supplies + level2: three_layer_transparent_drawer + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- open the bottom drawer. +sub_tasks: +- subtask: end + subtask_index: 0 +- subtask: Pull open the drawer with the left gripper + subtask_index: 1 +- subtask: Abnormal + subtask_index: 2 +- subtask: Grab the bottom drawer with the right gripper + subtask_index: 3 +- subtask: Pull open the drawer with the right gripper + subtask_index: 4 +- subtask: Grab the bottom drawer with the left gripper + subtask_index: 5 +- subtask: 'null' + subtask_index: 6 +atomic_actions: +- grasp +- pull +robot_name: +- Agilex_Cobot_Magic +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 50 + total_frames: 18620 + fps: 30 + total_tasks: 7 + total_videos: 150 + total_chunks: 1 + chunks_size: 1000 + state_dim: 26 + action_dim: 26 + camera_views: 3 + dataset_size: 182.16 MB +frame_num: 18620 +dataset_size: 182.16 MB +data_structure: 'Agilex_Cobot_Magic_open_drawer_bottom_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- backup + + | |-- data + + | | `-- chunk-000 + + | `-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (38 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:49 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + dtype: int32 + shape: + - 5 + scene_annotation: + names: null + dtype: int32 + shape: + - 1 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/dataset_info/Agilex_Cobot_Magic_storage_bread_basket.yaml b/dataset_info/Agilex_Cobot_Magic_storage_bread_basket.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0e2771ea87d3ee33debffd82bddcdd2754720ad4 --- /dev/null +++ b/dataset_info/Agilex_Cobot_Magic_storage_bread_basket.yaml @@ -0,0 +1,499 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Agilex_Cobot_Magic_storage_bread_basket +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: living_room + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: home_storage + level2: table + level3: null + level4: null + level5: null +- object_name: small_yellow _basket + level1: home_storage + level2: small_yellow _basket + level3: null + level4: null + level5: null +- object_name: waffle + level1: food + level2: waffle + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- Put the bakery in the basket. +sub_tasks: +- subtask: Abnormal + subtask_index: 0 +- subtask: Grasp the bread with right gripper + subtask_index: 1 +- subtask: End + subtask_index: 2 +- subtask: Grasp the bread with left gripper + subtask_index: 3 +- subtask: Place the bread in the basket with right gripper + subtask_index: 4 +- subtask: Place the bread in the basket with left gripper + subtask_index: 5 +- subtask: 'null' + subtask_index: 6 +atomic_actions: +- grasp +- lift +- lower +robot_name: +- Agilex_Cobot_Magic +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 98 + total_frames: 32042 + fps: 30 + total_tasks: 7 + total_videos: 294 + total_chunks: 1 + chunks_size: 1000 + state_dim: 26 + action_dim: 26 + camera_views: 3 + dataset_size: 354.51 MB +frame_num: 32042 +dataset_size: 354.51 MB +data_structure: 'Agilex_Cobot_Magic_storage_bread_basket_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (86 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:97 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/dataset_info/Agilex_Cobot_Magic_storage_object_closest.yaml b/dataset_info/Agilex_Cobot_Magic_storage_object_closest.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7a12569bd0154ee76f46fdf2028b682c5a7c2bbe --- /dev/null +++ b/dataset_info/Agilex_Cobot_Magic_storage_object_closest.yaml @@ -0,0 +1,561 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Agilex_Cobot_Magic_storage_object_closest +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: bathroom + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: home_storage + level2: table + level3: null + level4: null + level5: null +- object_name: brown_basket + level1: container + level2: brown_basket + level3: null + level4: null + level5: null +- object_name: mentholatum_facial_cleanser + level1: daily_necessities + level2: mentholatum_facial_cleanser + level3: null + level4: null + level5: null +- object_name: toothpaste + level1: daily_necessities + level2: toothpaste + level3: null + level4: null + level5: null +- object_name: cleanser + level1: daily_necessities + level2: cleanser + level3: null + level4: null + level5: null +- object_name: blue_moon_laundry_detergent + level1: daily_necessities + level2: blue_moon_laundry_detergent + level3: null + level4: null + level5: null +- object_name: shampoo + level1: daily_necessities + level2: shampoo + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- Place the object closest to the toothpaste in the basket. +sub_tasks: +- subtask: Grasp the shampoo with left gripper + subtask_index: 0 +- subtask: Grasp the soft facial cleanser with right gripper + subtask_index: 1 +- subtask: Place the pink laundry detergent in the basket with right gripper + subtask_index: 2 +- subtask: Place the cleaning agent in the basket with left gripper + subtask_index: 3 +- subtask: Place the shampoo in the basket with right gripper + subtask_index: 4 +- subtask: Grasp the shampoo with right gripper + subtask_index: 5 +- subtask: Place the pink laundry detergent in the basket with left gripper + subtask_index: 6 +- subtask: Place the soft facial cleanser in the basket with right gripper + subtask_index: 7 +- subtask: Grasp the pink laundry detergent with right gripper + subtask_index: 8 +- subtask: Grasp the soft facial cleanser with left gripper + subtask_index: 9 +- subtask: Place the cleaning agent in the basket with right gripper + subtask_index: 10 +- subtask: Place the soft facial cleanser in the basket with left gripper + subtask_index: 11 +- subtask: Grasp the pink laundry detergent with left gripper + subtask_index: 12 +- subtask: Place the shampoo in the basket with left gripper + subtask_index: 13 +- subtask: End + subtask_index: 14 +- subtask: Grasp the cleaning agent with right gripper + subtask_index: 15 +- subtask: Grasp the cleaning agent with left gripper + subtask_index: 16 +- subtask: 'null' + subtask_index: 17 +atomic_actions: +- grasp +- lift +- lower +robot_name: +- Agilex_Cobot_Magic +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 100 + total_frames: 29779 + fps: 30 + total_tasks: 18 + total_videos: 300 + total_chunks: 1 + chunks_size: 1000 + state_dim: 26 + action_dim: 26 + camera_views: 3 + dataset_size: 506.53 MB +frame_num: 29779 +dataset_size: 506.53 MB +data_structure: 'Agilex_Cobot_Magic_storage_object_closest_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- backup + + | |-- data + + | | `-- chunk-000 + + | `-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (88 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:99 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 26 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + dtype: int32 + shape: + - 5 + scene_annotation: + names: null + dtype: int32 + shape: + - 1 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + dtype: float32 + shape: + - 12 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + dtype: int32 + shape: + - 2 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + dtype: int32 + shape: + - 2 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + dtype: int32 + shape: + - 2 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + dtype: int32 + shape: + - 2 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + dtype: int32 + shape: + - 2 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + dtype: float32 + shape: + - 2 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_move_block_gold_bar_models.yaml b/dataset_info/Airbot_MMK2_move_block_gold_bar_models.yaml index a0244f92b2d74f5846536fd078e1eb93f5af73f6..7eb96f91d4ae5c3a466b28d923c9e5fa9559922a 100644 --- a/dataset_info/Airbot_MMK2_move_block_gold_bar_models.yaml +++ b/dataset_info/Airbot_MMK2_move_block_gold_bar_models.yaml @@ -1,14 +1,35 @@ -path: Airbot_MMK2_move_block_gold_bar_models +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 dataset_name: Airbot_MMK2_move_block_gold_bar_models -robot_type: '' -end_effector_type: -- five_finger_gripper -scene_type: [] -atomic_actions: -- grasp -- pick -- place -tasks: Place the gold bar on the glasses case with the right gripper +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: living_room + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. objects: - object_name: eyeglass_case level1: laboratory_supplies @@ -22,113 +43,396 @@ objects: level3: null level4: null level5: null -operation_platform_height: 77.2 -frame_range: 0-10703 -dataset_size: 433.7MB +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- place the glasses case in the middle of the table with your left hand and put the + toy gold bar on the glasses case with your right hand. +sub_tasks: +- subtask: Place the gold bar on the glasses case with the right gripper + subtask_index: 0 +- subtask: Grasp the glasses case with the left gripper + subtask_index: 1 +- subtask: Abnormal + subtask_index: 2 +- subtask: Static + subtask_index: 3 +- subtask: Place the glasses case on the middle of the table with the left gripper + subtask_index: 4 +- subtask: End + subtask_index: 5 +- subtask: Grasp the gold bar the right gripper + subtask_index: 6 +- subtask: 'null' + subtask_index: 7 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl statistics: total_episodes: 50 total_frames: 10703 - total_tasks: 1 + fps: 30 + total_tasks: 8 total_videos: 200 total_chunks: 1 chunks_size: 1000 - fps: 30 -dataset_uuid: 8f0091c0-69e1-4ca0-80f9-a7ae390d4a9f -language: -- en -- zh -task_categories: -- robotics -sub_tasks: -- Place the gold bar on the glasses case with the right gripper -- Grasp the glasses case with the left gripper -- Abnormal -- Static -- Place the glasses case on the middle of the table with the left gripper -- End -- Grasp the gold bar the right 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 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 434.03 MB +frame_num: 10703 +dataset_size: 434.03 MB +data_structure: "Airbot_MMK2_move_block_gold_bar_models_qced_hardlink/\n|-- annotations\n\ + | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\ + \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\ + | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\ + \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\ + | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \ + \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\ + | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \ + \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\ + | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\ + | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\ + \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\ + \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\ + \ `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:49 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 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 + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. 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_move_block_gold_bar_models_qced_hardlink/\n├── annotations/\n\ - │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\ - \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\ - │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\ - │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \ - \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\ - │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\ - │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \ - \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \ - \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\ - \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\ - \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\ - \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \ - \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\ - \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\ - \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \ - \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\ - \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\ - \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \ - \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\ - \ (...)" -structure: "Airbot_MMK2_move_block_gold_bar_models_qced_hardlink/\n├── annotations/\n\ - │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\ - \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\ - │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\ - │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \ - \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\ - │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\ - │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \ - \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \ - \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\ - \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\ - \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\ - \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \ - \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\ - \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\ - \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \ - \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\ - \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\ - \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \ - \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\ - \ (...)" +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_slide_tape_onto_can.yaml b/dataset_info/Airbot_MMK2_slide_tape_onto_can.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a11caefbf1c6571e86dc009725565ecad30e39af --- /dev/null +++ b/dataset_info/Airbot_MMK2_slide_tape_onto_can.yaml @@ -0,0 +1,438 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_slide_tape_onto_can +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: kitchen + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: early_education_toys + level1: toys + level2: early_education_toys + level3: null + level4: null + level5: null +- object_name: beverages + level1: beverages + level2: beverages + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- pick up the rings with left and right hands respectively and place them on the beverage + cans. +sub_tasks: +- subtask: Grasp the transparent circular ring on the left with the left gripper + subtask_index: 0 +- subtask: Place the transparent circular ring on the left onto the fanta in the + middle with left gripper + subtask_index: 1 +- subtask: Place the transparent circular ring on the right onto the fanta in the + middle with right gripper + subtask_index: 2 +- subtask: Abnormal + subtask_index: 3 +- subtask: Grasp the transparent circular ring on the right with the right gripper + subtask_index: 4 +- subtask: End + subtask_index: 5 +- subtask: 'null' + subtask_index: 6 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 44 + total_frames: 10133 + fps: 30 + total_tasks: 7 + total_videos: 176 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 490.04 MB +frame_num: 10133 +dataset_size: 490.04 MB +data_structure: "Airbot_MMK2_slide_tape_onto_can_qced_hardlink/\n|-- annotations\n\ + | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\ + \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\ + | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\ + \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\ + | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \ + \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\ + | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \ + \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\ + | `-- episode_000011.parquet\n| `-- ... (32 more entries)\n|-- meta\n\ + | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\ + \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\ + \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\ + \ `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:43 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_stack_cubic_block.yaml b/dataset_info/Airbot_MMK2_stack_cubic_block.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e0541844820186d72be185620e75511a46b4661a --- /dev/null +++ b/dataset_info/Airbot_MMK2_stack_cubic_block.yaml @@ -0,0 +1,444 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_stack_cubic_block +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: bedroom + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: square_building_blocks + level1: toys + level2: square_building_blocks + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- pick up the building blocks with left and right hands respectively and place them + on the blocks. +sub_tasks: +- subtask: Grasp the blue build blocks with the right gripper + subtask_index: 0 +- subtask: End + subtask_index: 1 +- subtask: Place the blue build blocks on the red build block with the right gripper + subtask_index: 2 +- subtask: Place the yellow build blocks on the orange build block with the right + gripper + subtask_index: 3 +- subtask: Place the red build blocks on the center of the table with the left gripper + subtask_index: 4 +- subtask: Place the orange build blocks on the yellow build block with the right + gripper + subtask_index: 5 +- subtask: Grasp the blue build blocks with the left gripper + subtask_index: 6 +- subtask: Grasp the red build blocks with the left gripper + subtask_index: 7 +- subtask: Abnormal + subtask_index: 8 +- subtask: Grasp the orange build blocks with the right gripper + subtask_index: 9 +- subtask: Place the blue build blocks on the red build block with the left gripper + subtask_index: 10 +- subtask: Grasp the yellow build blocks with the right gripper + subtask_index: 11 +- subtask: 'null' + subtask_index: 12 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 162 + total_frames: 48691 + fps: 30 + total_tasks: 13 + total_videos: 648 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 1.92 GB +frame_num: 48691 +dataset_size: 1.92 GB +data_structure: "Airbot_MMK2_stack_cubic_block_qced_hardlink/\n|-- annotations\n|\ + \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\ + \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\ + | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\ + \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\ + | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \ + \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\ + | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \ + \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\ + | `-- episode_000011.parquet\n| `-- ... (150 more entries)\n|-- meta\n\ + | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\ + \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\ + \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\ + \ `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:161 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_storage_cake_ice_cream.yaml b/dataset_info/Airbot_MMK2_storage_cake_ice_cream.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a9fe6d5e72c8b0bfb59a2ae1d789713e9a46bcd7 --- /dev/null +++ b/dataset_info/Airbot_MMK2_storage_cake_ice_cream.yaml @@ -0,0 +1,498 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_storage_cake_ice_cream +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: kitchen + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: plate + level1: kitchen_supplies + level2: plate + level3: null + level4: null + level5: null +- object_name: cake + level1: bread + level2: cake + level3: null + level4: null + level5: null +- object_name: ice_cream + level1: snacks + level2: ice_cream + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- put the cake and ice cream into the plate respectively with left and right hands. +sub_tasks: +- subtask: Grasp the ice cream with the right gripper + subtask_index: 0 +- subtask: Place the ice cream into the white basket with the right gripper + subtask_index: 1 +- subtask: Grasp the cake with the left gripper + subtask_index: 2 +- subtask: End + subtask_index: 3 +- subtask: Place the cake into the white basket with the left gripper + subtask_index: 4 +- subtask: 'null' + subtask_index: 5 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 50 + total_frames: 11989 + fps: 30 + total_tasks: 6 + total_videos: 200 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 571.59 MB +frame_num: 11989 +dataset_size: 571.59 MB +data_structure: 'Airbot_MMK2_storage_cake_ice_cream_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (38 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_front_rgb + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:49 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_storage_diamond_ring.yaml b/dataset_info/Airbot_MMK2_storage_diamond_ring.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d4d543b7248eb9435a63052fce9d15d85d627853 --- /dev/null +++ b/dataset_info/Airbot_MMK2_storage_diamond_ring.yaml @@ -0,0 +1,432 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_storage_diamond_ring +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: bedroom + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: diamond_ring + level1: daily_necessities + level2: diamond_ring + level3: null + level4: null + level5: null +- object_name: flip_top_paper_boxes + level1: packaging + level2: flip_top_paper_boxes + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- put the ring into the box. +sub_tasks: +- subtask: Place the diamond ring in the box with the right gripper + subtask_index: 0 +- subtask: End + subtask_index: 1 +- subtask: Close the lid of the box with the left gripper + subtask_index: 2 +- subtask: Grasp the diamond ring with the right gripper + subtask_index: 3 +- subtask: 'null' + subtask_index: 4 +atomic_actions: +- grasp +- place +- pick +- turn +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 50 + total_frames: 9131 + fps: 30 + total_tasks: 5 + total_videos: 200 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 426.97 MB +frame_num: 9131 +dataset_size: 426.97 MB +data_structure: "Airbot_MMK2_storage_diamond_ring_qced_hardlink/\n|-- annotations\n\ + | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\ + \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\ + | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\ + \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\ + | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \ + \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\ + | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \ + \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\ + | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\ + | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\ + \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\ + \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\ + \ `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:49 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_storage_shark_doll.yaml b/dataset_info/Airbot_MMK2_storage_shark_doll.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c6aac08887c3c3e0c8f0bc15f6c6165b3b1b67e8 --- /dev/null +++ b/dataset_info/Airbot_MMK2_storage_shark_doll.yaml @@ -0,0 +1,437 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_storage_shark_doll +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: commercial_convenience + level2: supermarket + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: home_storage + level2: table + level3: null + level4: null + level5: null +- object_name: shark_doll + level1: toys + level2: shark_doll + level3: null + level4: null + level5: null +- object_name: lid + level1: laboratory_supplies + level2: lid + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- pick up the shark doll and put it in the lid. +sub_tasks: +- subtask: Place the whale on the white lid with the right gripper + subtask_index: 0 +- subtask: Grasp the whale with the left gripper + subtask_index: 1 +- subtask: Deliver the whale from left gripper to right gripper + subtask_index: 2 +- subtask: End + subtask_index: 3 +- subtask: 'null' + subtask_index: 4 +atomic_actions: +- grasp +- place +- pick +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 93 + total_frames: 13034 + fps: 30 + total_tasks: 5 + total_videos: 372 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 461.32 MB +frame_num: 13034 +dataset_size: 461.32 MB +data_structure: "Airbot_MMK2_storage_shark_doll_qced_hardlink/\n|-- annotations\n\ + | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\ + \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\ + | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\ + \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\ + | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \ + \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\ + | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \ + \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\ + | `-- episode_000011.parquet\n| `-- ... (81 more entries)\n|-- meta\n\ + | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\ + \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\ + \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\ + \ `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:92 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_storage_tape_measure_umbrella.yaml b/dataset_info/Airbot_MMK2_storage_tape_measure_umbrella.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f776376be28d239cb82924624a57922f4995a550 --- /dev/null +++ b/dataset_info/Airbot_MMK2_storage_tape_measure_umbrella.yaml @@ -0,0 +1,441 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_storage_tape_measure_umbrella +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: living_room + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: basin + level1: storage_utensils + level2: basin + level3: null + level4: null + level5: null +- object_name: tape_measure + level1: rulers + level2: tape_measure + level3: null + level4: null + level5: null +- object_name: umbrella + level1: items + level2: umbrella + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- put the tape measure and the umbrella in the basin. +sub_tasks: +- subtask: End + subtask_index: 0 +- subtask: Grasp the tape measure with the right gripper + subtask_index: 1 +- subtask: Grasp the umbrella with the left gripper + subtask_index: 2 +- subtask: Static + subtask_index: 3 +- subtask: Place the umbrella in the white basket with the left gripper + subtask_index: 4 +- subtask: Place the tape measure in the white basket with the right gripper + subtask_index: 5 +- subtask: 'null' + subtask_index: 6 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 40 + total_frames: 7112 + fps: 30 + total_tasks: 7 + total_videos: 160 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 236.10 MB +frame_num: 7112 +dataset_size: 236.10 MB +data_structure: "Airbot_MMK2_storage_tape_measure_umbrella_qced_hardlink/\n|-- annotations\n\ + | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\ + \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\ + | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\ + \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\ + | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \ + \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\ + | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \ + \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\ + | `-- episode_000011.parquet\n| `-- ... (28 more entries)\n|-- meta\n\ + | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\ + \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\ + \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\ + \ `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:39 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_take_bowl_sponge.yaml b/dataset_info/Airbot_MMK2_take_bowl_sponge.yaml new file mode 100644 index 0000000000000000000000000000000000000000..00dc179f955c813daa783decd8a173f3c4437a86 --- /dev/null +++ b/dataset_info/Airbot_MMK2_take_bowl_sponge.yaml @@ -0,0 +1,441 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_take_bowl_sponge +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: kitchen + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: cleaning_sponge + level1: cleaning + level2: cleaning_sponge + level3: null + level4: null + level5: null +- object_name: bowl + level1: bowl + level2: bowl + level3: null + level4: null + level5: null +- object_name: table + level1: furniture + level2: table + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- pick up the sponge and bowl by hand and place them on the table. +sub_tasks: +- subtask: Place the sponge on the table with the left gripper + subtask_index: 0 +- subtask: Abnormal + subtask_index: 1 +- subtask: Grasp the sponge on the white basket and with the left gripper + subtask_index: 2 +- subtask: Grasp the bowl on the white basket and with the right gripper + subtask_index: 3 +- subtask: End + subtask_index: 4 +- subtask: Place the bowl on the table with the right gripper + subtask_index: 5 +- subtask: 'null' + subtask_index: 6 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 42 + total_frames: 11308 + fps: 30 + total_tasks: 7 + total_videos: 168 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 373.70 MB +frame_num: 11308 +dataset_size: 373.70 MB +data_structure: "Airbot_MMK2_take_bowl_sponge_qced_hardlink/\n|-- annotations\n| \ + \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| \ + \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\ + | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\ + \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\ + | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \ + \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\ + | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \ + \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\ + | `-- episode_000011.parquet\n| `-- ... (30 more entries)\n|-- meta\n\ + | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\ + \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\ + \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\ + \ `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:41 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_take_dog_doll.yaml b/dataset_info/Airbot_MMK2_take_dog_doll.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2d5af016f87e76530fc1f4c1590d58dcb8f2f8de --- /dev/null +++ b/dataset_info/Airbot_MMK2_take_dog_doll.yaml @@ -0,0 +1,434 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_take_dog_doll +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: living_room + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: toy_dog + level1: doll + level2: toy_dog + level3: null + level4: null + level5: null +- object_name: lid + level1: storage_utensils + level2: lid + level3: null + level4: null + level5: null +- object_name: table + level1: furniture + level2: table + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- pick up the toy dog from the white lid by hand and place it on the table. +sub_tasks: +- subtask: Place the puppy on the table with the left and right grippers + subtask_index: 0 +- subtask: Grasp the puppy with the left and right grippers + subtask_index: 1 +- subtask: End + subtask_index: 2 +- subtask: 'null' + subtask_index: 3 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 50 + total_frames: 6425 + fps: 30 + total_tasks: 4 + total_videos: 200 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 253.22 MB +frame_num: 6425 +dataset_size: 253.22 MB +data_structure: "Airbot_MMK2_take_dog_doll_qced_hardlink/\n|-- annotations\n| |--\ + \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\ + \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \ + \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\ + |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\ + | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \ + \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\ + | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \ + \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\ + | `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\ + | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\ + \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\ + \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:49 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Airbot_MMK2_take_part_both_hands.yaml b/dataset_info/Airbot_MMK2_take_part_both_hands.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4cdd4e9da83b95e15fb7b06375f41c9aa7f54f63 --- /dev/null +++ b/dataset_info/Airbot_MMK2_take_part_both_hands.yaml @@ -0,0 +1,439 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Airbot_MMK2_take_part_both_hands +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: living_room + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: item + level1: item + level2: item + level3: null + level4: null + level5: null +- object_name: square_building_blocks + level1: building_blocks + level2: square_building_blocks + level3: null + level4: null + level5: null +- object_name: table + level1: furniture + level2: table + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- take the items off the building blocks with both hands and place them on the table. +sub_tasks: +- subtask: Grasp the steel tube on the cube block with the right gripper + subtask_index: 0 +- subtask: Grasp the steel tube on the cube block with the left gripper + subtask_index: 1 +- subtask: Place the steel tube on the table with the left gripper + subtask_index: 2 +- subtask: Place the steel tube on the table with the right gripper + subtask_index: 3 +- subtask: End + subtask_index: 4 +- subtask: 'null' + subtask_index: 5 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Airbot_MMK2 +end_effector_type: five_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +- cam_front_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 50 + total_frames: 6348 + fps: 30 + total_tasks: 6 + total_videos: 200 + total_chunks: 1 + chunks_size: 1000 + state_dim: 36 + action_dim: 36 + camera_views: 4 + dataset_size: 239.11 MB +frame_num: 6348 +dataset_size: 239.11 MB +data_structure: "Airbot_MMK2_take_part_both_hands_qced_hardlink/\n|-- annotations\n\ + | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\ + \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\ + | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\ + \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\ + | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \ + \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\ + | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \ + \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\ + | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\ + | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\ + \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\ + \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\ + \ `-- observation.images.cam_right_wrist_rgb" +splits: + train: 0:49 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_front_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + action: + dtype: float32 + shape: + - 36 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_hand_joint_1_rad + - left_hand_joint_2_rad + - left_hand_joint_3_rad + - left_hand_joint_4_rad + - left_hand_joint_5_rad + - left_hand_joint_6_rad + - left_hand_joint_7_rad + - left_hand_joint_8_rad + - left_hand_joint_9_rad + - left_hand_joint_10_rad + - left_hand_joint_11_rad + - left_hand_joint_12_rad + - right_hand_joint_1_rad + - right_hand_joint_2_rad + - right_hand_joint_3_rad + - right_hand_joint_4_rad + - right_hand_joint_5_rad + - right_hand_joint_6_rad + - right_hand_joint_7_rad + - right_hand_joint_8_rad + - right_hand_joint_9_rad + - right_hand_joint_10_rad + - right_hand_joint_11_rad + - right_hand_joint_12_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4 diff --git a/dataset_info/Galaxea_R1_Lite_pour_solid.yaml b/dataset_info/Galaxea_R1_Lite_pour_solid.yaml new file mode 100644 index 0000000000000000000000000000000000000000..99a4bd51cf1fb2e4733bca3260041ab15066fb65 --- /dev/null +++ b/dataset_info/Galaxea_R1_Lite_pour_solid.yaml @@ -0,0 +1,569 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Galaxea_R1_Lite_pour_solid +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: ousehhold + level2: kitchen + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: white_table + level1: furniture + level2: white_table + level3: null + level4: null + level5: null +- object_name: plastic_cup + level1: cups + level2: plastic_cup + level3: null + level4: null + level5: null +- object_name: green_dish + level1: plates + level2: green_dish + level3: null + level4: null + level5: null +- object_name: pink_bowl + level1: plastic_bowls + level2: pink_bowl + level3: null + level4: null + level5: null +- object_name: solid + level1: materials + level2: solid + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- use a gripper to pick up the cup and pour the solid into a bowl or tray. +sub_tasks: +- subtask: Grasp the glass of shrimp with the left gripper + subtask_index: 0 +- subtask: Pick up blue cup filled with coffee beans with left gripper + subtask_index: 1 +- subtask: Place blue cup with coffee beans on the table with left gripper + subtask_index: 2 +- subtask: Pour the shrimp into the green bowl with the left gripper + subtask_index: 3 +- subtask: Pour the coffee beans into the pink bowl with the left gripper + subtask_index: 4 +- subtask: Pour the coffee beans into the pink bowl with the right gripper + subtask_index: 5 +- subtask: Left gripper + subtask_index: 6 +- subtask: Pour the shrimp into the green bowl with the right gripper + subtask_index: 7 +- subtask: Pick up blue cup filled with shrimp with left gripper + subtask_index: 8 +- subtask: Place blue cup with shrimp on the table with left gripper + subtask_index: 9 +- subtask: Pick up blue cup filled with coffee beans with right gripper + subtask_index: 10 +- subtask: Grasp the glass of coffee beans with the left gripper + subtask_index: 11 +- subtask: Pour the shrimp into the pink bowl with left gripper + subtask_index: 12 +- subtask: Pour the coffee beans into the green bowl with the left gripper + subtask_index: 13 +- subtask: Pour the coffee beans into the pink bowl with left gripper + subtask_index: 14 +- subtask: Grasp the glass of coffee beans with the right gripper + subtask_index: 15 +- subtask: Pour the coffee beans into the green plate with the right gripper + subtask_index: 16 +- subtask: Pour the shrimp into the pink bowl with the right gripper + subtask_index: 17 +- subtask: Grasp the glass of shrimp with the right gripper + subtask_index: 18 +- subtask: Pour the coffee beans into the green plate with the left gripper + subtask_index: 19 +- subtask: Place blue cup with coffee powder on the table with left gripper + subtask_index: 20 +- subtask: Place the glass cup with the right gripper + subtask_index: 21 +- subtask: Place blue cup with coffee beans on the table with right gripper + subtask_index: 22 +- subtask: End + subtask_index: 23 +- subtask: Pour the coffee beans into the green bowl with the right gripper + subtask_index: 24 +- subtask: Place blue cup with shrimp on the table with right gripper + subtask_index: 25 +- subtask: Pick up blue cup filled with shrimp with right gripper + subtask_index: 26 +- subtask: Pour the shrimp into the pink bowl with right gripper + subtask_index: 27 +- subtask: Pour the shrimp into the pink bowl with the left gripper + subtask_index: 28 +- subtask: Pour the shrimp into the blue basin with left gripper + subtask_index: 29 +- subtask: Pour the coffee beans into the blue basin with right gripper + subtask_index: 30 +- subtask: Right gripper + subtask_index: 31 +- subtask: Pour the shrimp into the blue basin with right gripper + subtask_index: 32 +- subtask: Place the glass cup with the left gripper + subtask_index: 33 +- subtask: 'null' + subtask_index: 34 +atomic_actions: +- grasp +- pick +- place +- pour +robot_name: +- Galaxea_R1_Lite +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_left_rgb +- cam_head_right_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, + pix_fmt=yuv420p + cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, + pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: end_rotation_dim +end_translation_dim: end_translation_dim +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 39 + total_frames: 16353 + fps: 30 + total_tasks: 35 + total_videos: 156 + total_chunks: 1 + chunks_size: 1000 + state_dim: 14 + action_dim: 14 + camera_views: 4 + dataset_size: 459.77 MB +frame_num: 16353 +dataset_size: 459.77 MB +data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_pour_solid_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (27 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_left_rgb + + | |-- observation.images.cam_head_right_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:38 +features: + observation.images.cam_head_left_rgb: + dtype: video + shape: + - 720 + - 1280 + - 3 + names: + - height + - width + - channels + info: + video.height: 720 + video.width: 1280 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_head_right_rgb: + dtype: video + shape: + - 720 + - 1280 + - 3 + names: + - height + - width + - channels + info: + video.height: 720 + video.width: 1280 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 360 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 360 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 360 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 360 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 14 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_gripper_open + - right_gripper_open + action: + dtype: float32 + shape: + - 14 + names: + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - left_gripper_open + - right_gripper_open + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + shape: + - 2 + dtype: float32 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + shape: + - 2 + dtype: float32 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4 diff --git a/dataset_info/Realman_RMC-AIDA-L_storage_peach_drawer.yaml b/dataset_info/Realman_RMC-AIDA-L_storage_peach_drawer.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4fbfb09c15aafb9d8e41e7c5785f1276ab14439e --- /dev/null +++ b/dataset_info/Realman_RMC-AIDA-L_storage_peach_drawer.yaml @@ -0,0 +1,500 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Realman_RMC-AIDA-L_storage_peach_drawer +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: kitchen + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: furniture + level2: table + level3: null + level4: null + level5: null +- object_name: drawer + level1: storage_utensils + level2: drawer + level3: null + level4: null + level5: null +- object_name: peach + level1: fruit + level2: peach + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- the right gripper grasp the peach on the table and place it into the drawer, the + left gripper close the drawer. +sub_tasks: +- subtask: Close the drawer with the left gripper + subtask_index: 0 +- subtask: Place the peach into the top drawer with the right gripper + subtask_index: 1 +- subtask: end + subtask_index: 2 +- subtask: Grasp the peach with the right gripper + subtask_index: 3 +- subtask: 'null' + subtask_index: 4 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Realman_RMC-AIDA-L +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 120 + total_frames: 46600 + fps: 30 + total_tasks: 5 + total_videos: 360 + total_chunks: 1 + chunks_size: 1000 + state_dim: 28 + action_dim: 28 + camera_views: 3 + dataset_size: 596.03 MB +frame_num: 46600 +dataset_size: 596.03 MB +data_structure: 'Realman_RMC-AIDA-L_storage_peach_drawer_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (108 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:119 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 28 + names: + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_arm_joint_7_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_arm_joint_7_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 28 + names: + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_arm_joint_7_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_arm_joint_7_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + shape: + - 2 + dtype: float32 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + shape: + - 2 + dtype: float32 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/dataset_info/Realman_RMC-AIDA-L_storage_towel_basket.yaml b/dataset_info/Realman_RMC-AIDA-L_storage_towel_basket.yaml new file mode 100644 index 0000000000000000000000000000000000000000..05d7aaf5b83b72a4ee5680328540df25bc4f9e6b --- /dev/null +++ b/dataset_info/Realman_RMC-AIDA-L_storage_towel_basket.yaml @@ -0,0 +1,502 @@ +task_categories: +- robotics +language: +- en +tags: +- RoboCOIN +- LeRobot +license: apache-2.0 +configs: +- config_name: default + data_files: data/chunk-{id}/episode_{id}.parquet +extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper + in your research/publications—see the "Citation" section for details. You agree + to not use the dataset to conduct experiments that cause harm to human subjects. +extra_gated_fields: + Company/Organization: + type: text + description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher" + Country: + type: country + description: e.g., "Germany", "China", "United States" +codebase_version: v2.1 +dataset_name: Realman_RMC-AIDA-L_storage_towel_basket +dataset_uuid: 00000000-0000-0000-0000-000000000000 +scene_type: + level1: household + level2: kitchen + level3: null + level4: null + level5: null +env_type: Due to some reasons, this dataset temporarily cannot provide the environment + type information. +objects: +- object_name: table + level1: furniture + level2: table + level3: null + level4: null + level5: null +- object_name: basket + level1: home_storage + level2: basket + level3: null + level4: null + level5: null +- object_name: towel + level1: daily_necessities + level2: towel + level3: null + level4: null + level5: null +task_operation_type: Due to some reasons, this dataset temporarily cannot provide + the operation type information. +task_instruction: +- the left gripper grasp the basket on the table, the right grippe pick up the towel + on the table and place it into the basket. +sub_tasks: +- subtask: Place the towel into the basket with the right gripper + subtask_index: 0 +- subtask: Abnormal + subtask_index: 1 +- subtask: PIck up the basket with the left gripper + subtask_index: 2 +- subtask: PIck up the towel with the right gripper + subtask_index: 3 +- subtask: end + subtask_index: 4 +- subtask: 'null' + subtask_index: 5 +atomic_actions: +- grasp +- pick +- place +robot_name: +- Realman_RMC-AIDA-L +end_effector_type: two_finger_gripper +tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation + type information. +sensor_list: +- cam_head_rgb +- cam_left_wrist_rgb +- cam_right_wrist_rgb +came_info: + cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p + cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p + cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, + pix_fmt=yuv420p +depth_enabled: false +coordinate_definition: right-hand-frame +joint_rotation_dim: radian +end_rotation_dim: radian +end_translation_dim: meter +annotations: +- eef_acc_mag_annotation.jsonl +- eef_direction_annotation.jsonl +- eef_velocity_annotation.jsonl +- gripper_activity_annotation.jsonl +- gripper_mode_annotation.jsonl +- scene_annotations.jsonl +- subtask_annotations.jsonl +statistics: + total_episodes: 118 + total_frames: 58520 + fps: 30 + total_tasks: 6 + total_videos: 354 + total_chunks: 1 + chunks_size: 1000 + state_dim: 28 + action_dim: 28 + camera_views: 3 + dataset_size: 684.59 MB +frame_num: 58520 +dataset_size: 684.59 MB +data_structure: 'Realman_RMC-AIDA-L_storage_towel_basket_qced_hardlink/ + + |-- annotations + + | |-- eef_acc_mag_annotation.jsonl + + | |-- eef_direction_annotation.jsonl + + | |-- eef_velocity_annotation.jsonl + + | |-- gripper_activity_annotation.jsonl + + | |-- gripper_mode_annotation.jsonl + + | |-- scene_annotations.jsonl + + | `-- subtask_annotations.jsonl + + |-- data + + | `-- chunk-000 + + | |-- episode_000000.parquet + + | |-- episode_000001.parquet + + | |-- episode_000002.parquet + + | |-- episode_000003.parquet + + | |-- episode_000004.parquet + + | |-- episode_000005.parquet + + | |-- episode_000006.parquet + + | |-- episode_000007.parquet + + | |-- episode_000008.parquet + + | |-- episode_000009.parquet + + | |-- episode_000010.parquet + + | `-- episode_000011.parquet + + | `-- ... (106 more entries) + + |-- meta + + | |-- episodes.jsonl + + | |-- episodes_stats.jsonl + + | |-- info.json + + | `-- tasks.jsonl + + |-- videos + + | `-- chunk-000 + + | |-- observation.images.cam_head_rgb + + | |-- observation.images.cam_left_wrist_rgb + + | `-- observation.images.cam_right_wrist_rgb + + |-- info.yaml + + `-- README.md' +splits: + train: 0:117 +features: + observation.images.cam_head_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_left_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.images.cam_right_wrist_rgb: + dtype: video + shape: + - 480 + - 640 + - 3 + names: + - height + - width + - channels + info: + video.height: 480 + video.width: 640 + video.codec: av1 + video.pix_fmt: yuv420p + video.is_depth_map: false + video.fps: 30 + video.channels: 3 + has_audio: false + observation.state: + dtype: float32 + shape: + - 28 + names: + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_arm_joint_7_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_arm_joint_7_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + action: + dtype: float32 + shape: + - 28 + names: + - right_arm_joint_1_rad + - right_arm_joint_2_rad + - right_arm_joint_3_rad + - right_arm_joint_4_rad + - right_arm_joint_5_rad + - right_arm_joint_6_rad + - right_arm_joint_7_rad + - right_gripper_open + - right_eef_pos_x_m + - right_eef_pos_y_m + - right_eef_pos_z_m + - right_eef_rot_euler_x_rad + - right_eef_rot_euler_y_rad + - right_eef_rot_euler_z_rad + - left_arm_joint_1_rad + - left_arm_joint_2_rad + - left_arm_joint_3_rad + - left_arm_joint_4_rad + - left_arm_joint_5_rad + - left_arm_joint_6_rad + - left_arm_joint_7_rad + - left_gripper_open + - left_eef_pos_x_m + - left_eef_pos_y_m + - left_eef_pos_z_m + - left_eef_rot_euler_x_rad + - left_eef_rot_euler_y_rad + - left_eef_rot_euler_z_rad + 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 + subtask_annotation: + names: null + shape: + - 5 + dtype: int32 + scene_annotation: + names: null + shape: + - 1 + dtype: int32 + eef_sim_pose_state: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_sim_pose_action: + names: + - left_eef_pos_x + - left_eef_pos_y + - left_eef_pos_z + - left_eef_rot_x + - left_eef_rot_y + - left_eef_rot_z + - right_eef_pos_x + - right_eef_pos_y + - right_eef_pos_z + - right_eef_rot_x + - right_eef_rot_y + - right_eef_rot_z + shape: + - 12 + dtype: float32 + eef_direction_state: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_direction_action: + names: + - left_eef_direction + - right_eef_direction + shape: + - 2 + dtype: int32 + eef_velocity_state: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_velocity_action: + names: + - left_eef_velocity + - right_eef_velocity + shape: + - 2 + dtype: int32 + eef_acc_mag_state: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + eef_acc_mag_action: + names: + - left_eef_acc_mag + - right_eef_acc_mag + shape: + - 2 + dtype: int32 + gripper_open_scale_state: + names: + - left_gripper_open_scale + - right_gripper_open_scale + shape: + - 2 + dtype: float32 + gripper_open_scale_action: + names: + - left_gripper_open_scale + - right_gripper_open_scale + shape: + - 2 + dtype: float32 + gripper_mode_state: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_mode_action: + names: + - left_gripper_mode + - right_gripper_mode + shape: + - 2 + dtype: int32 + gripper_activity_state: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 + gripper_activity_action: + names: + - left_gripper_activity + - right_gripper_activity + shape: + - 2 + dtype: int32 +authors: + contributed_by: + - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI) +dataset_description: This dataset uses an extended format based on LeRobot and is + fully compatible with LeRobot. +homepage: https://flagopen.github.io/RoboCOIN/ +paper: https://arxiv.org/abs/2511.17441 +repository: https://github.com/FlagOpen/RoboCOIN +contact_info: For questions, issues, or feedback regarding this dataset, please contact + us. +support_info: For technical support, please open an issue on our GitHub repository. +license_details: apache-2.0 +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 }\n" +additional_citations: 'If you use this dataset, please also consider citing: + + LeRobot Framework: https://github.com/huggingface/lerobot + + ' +version_info: Initial Release +data_path: data/chunk-{id}/episode_{id}.parquet +video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id} +video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4 diff --git a/info/consolidated_datasets.json b/info/consolidated_datasets.json index ffed6d616038126b37800fd636107bc75cf36070..761f8d6e7679ebefa6de7e04cc77c502e979220e 100644 --- a/info/consolidated_datasets.json +++ b/info/consolidated_datasets.json @@ -739,6 +739,509 @@ "data_schema": "Galbot_g1_steamer_storage_baozi_f_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "Galbot_g1_steamer_storage_baozi_f_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Airbot_MMK2_storage_cake_ice_cream": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_storage_cake_ice_cream", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "kitchen", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "plate", + "level1": "kitchen_supplies", + "level2": "plate", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "cake", + "level1": "bread", + "level2": "cake", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "ice_cream", + "level1": "snacks", + "level2": "ice_cream", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "put the cake and ice cream into the plate respectively with left and right hands." + ], + "sub_tasks": [ + { + "subtask": "Grasp the ice cream with the right gripper", + "subtask_index": 0 + }, + { + "subtask": "Place the ice cream into the white basket with the right gripper", + "subtask_index": 1 + }, + { + "subtask": "Grasp the cake with the left gripper", + "subtask_index": 2 + }, + { + "subtask": "End", + "subtask_index": 3 + }, + { + "subtask": "Place the cake into the white basket with the left gripper", + "subtask_index": 4 + }, + { + "subtask": "null", + "subtask_index": 5 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Airbot_MMK2" + ], + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 50, + "total_frames": 11989, + "fps": 30, + "total_tasks": 6, + "total_videos": 200, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "571.59 MB" + }, + "frame_num": 11989, + "dataset_size": "571.59 MB", + "data_structure": "Airbot_MMK2_storage_cake_ice_cream_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_front_rgb\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:49" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" + }, "R1_Lite_fold_clothes": { "path": "R1_Lite_fold_clothes", "dataset_name": "fold_clothes", @@ -15755,6 +16258,507 @@ "data_schema": "leju_robot_hotel_services_ad_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "leju_robot_hotel_services_ad_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Agilex_Cobot_Magic_close_drawer_bottom": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Agilex_Cobot_Magic_close_drawer_bottom", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "office_workspace", + "level2": "office", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "home_storage", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "three_layer_transparent_drawer", + "level1": "laboratory_supplies", + "level2": "three_layer_transparent_drawer", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "close the bottom drawer." + ], + "sub_tasks": [ + { + "subtask": "End", + "subtask_index": 0 + }, + { + "subtask": "Use the right gripper to contact the bottom layer of the storage cabinet", + "subtask_index": 1 + }, + { + "subtask": "Push the bottom drawer closed", + "subtask_index": 2 + }, + { + "subtask": "null", + "subtask_index": 3 + } + ], + "atomic_actions": [ + "grasp", + "push" + ], + "robot_name": [ + "Agilex_Cobot_Magic" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 50, + "total_frames": 16270, + "fps": 30, + "total_tasks": 4, + "total_videos": 150, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 26, + "action_dim": 26, + "camera_views": 3, + "dataset_size": "157.62 MB" + }, + "frame_num": 16270, + "dataset_size": "157.62 MB", + "data_structure": "Agilex_Cobot_Magic_close_drawer_bottom_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- backup\n| |-- data\n| | `-- chunk-000\n| `-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:49" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 5 + ] + }, + "scene_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 1 + ] + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" + }, "G1edu-u3_pick_metal_bowl_ab": { "path": "G1edu-u3_pick_metal_bowl_ab", "dataset_name": "pick_metal_bowl_ab", @@ -16375,6 +17379,1055 @@ "data_schema": "G1edu-u3_pick_crumpled_paper_aa_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "G1edu-u3_pick_crumpled_paper_aa_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Agilex_Cobot_Magic_erase_board_left_side": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Agilex_Cobot_Magic_erase_board_left_side", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "education", + "level2": "school", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "home_storage", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "whiteboard", + "level1": "stationery", + "level2": "whiteboard", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "red_whiteboard_Eraser", + "level1": "stationery", + "level2": "red_whiteboard_Eraser", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "wipe off the handwriting on the whiteboard." + ], + "sub_tasks": [ + { + "subtask": "Place the eraser with the left gripper", + "subtask_index": 0 + }, + { + "subtask": "Grasp the eraser with the left gripper", + "subtask_index": 1 + }, + { + "subtask": "End", + "subtask_index": 2 + }, + { + "subtask": "Grasp the eraser and wipe the blackboard with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "Place the eraser with the right gripper", + "subtask_index": 4 + }, + { + "subtask": "Grasp the eraser with the right gripper", + "subtask_index": 5 + }, + { + "subtask": "Grasp the eraser and wipe the blackboard with the left gripper", + "subtask_index": 6 + }, + { + "subtask": "null", + "subtask_index": 7 + } + ], + "atomic_actions": [ + "grasp", + "lift", + "lower", + "wipe" + ], + "robot_name": [ + "Agilex_Cobot_Magic" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 101, + "total_frames": 51478, + "fps": 30, + "total_tasks": 8, + "total_videos": 303, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 26, + "action_dim": 26, + "camera_views": 3, + "dataset_size": "490.77 MB" + }, + "frame_num": 51478, + "dataset_size": "490.77 MB", + "data_structure": "Agilex_Cobot_Magic_erase_board_left_side_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- backup\n| |-- data\n| | `-- chunk-000\n| `-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (89 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:100" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 5 + ] + }, + "scene_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 1 + ] + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" + }, + "Agilex_Cobot_Magic_storage_bread_basket": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Agilex_Cobot_Magic_storage_bread_basket", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "living_room", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "home_storage", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "small_yellow _basket", + "level1": "home_storage", + "level2": "small_yellow _basket", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "waffle", + "level1": "food", + "level2": "waffle", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "Put the bakery in the basket." + ], + "sub_tasks": [ + { + "subtask": "Abnormal", + "subtask_index": 0 + }, + { + "subtask": "Grasp the bread with right gripper", + "subtask_index": 1 + }, + { + "subtask": "End", + "subtask_index": 2 + }, + { + "subtask": "Grasp the bread with left gripper", + "subtask_index": 3 + }, + { + "subtask": "Place the bread in the basket with right gripper", + "subtask_index": 4 + }, + { + "subtask": "Place the bread in the basket with left gripper", + "subtask_index": 5 + }, + { + "subtask": "null", + "subtask_index": 6 + } + ], + "atomic_actions": [ + "grasp", + "lift", + "lower" + ], + "robot_name": [ + "Agilex_Cobot_Magic" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 98, + "total_frames": 32042, + "fps": 30, + "total_tasks": 7, + "total_videos": 294, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 26, + "action_dim": 26, + "camera_views": 3, + "dataset_size": "354.51 MB" + }, + "frame_num": 32042, + "dataset_size": "354.51 MB", + "data_structure": "Agilex_Cobot_Magic_storage_bread_basket_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (86 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:97" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" + }, "alpha_bot_2_item_reversal": { "path": "alpha_bot_2_item_reversal", "dataset_name": "item_reversal", @@ -17443,6 +19496,519 @@ "data_schema": "R1_Lite_take_and_put_away_garden_stuff_a_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "R1_Lite_take_and_put_away_garden_stuff_a_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Agilex_Cobot_Magic_open_drawer_bottom": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Agilex_Cobot_Magic_open_drawer_bottom", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "office_workspace", + "level2": "office", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "home_storage", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "three_layer_transparent_drawer", + "level1": "laboratory_supplies", + "level2": "three_layer_transparent_drawer", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "open the bottom drawer." + ], + "sub_tasks": [ + { + "subtask": "end", + "subtask_index": 0 + }, + { + "subtask": "Pull open the drawer with the left gripper", + "subtask_index": 1 + }, + { + "subtask": "Abnormal", + "subtask_index": 2 + }, + { + "subtask": "Grab the bottom drawer with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "Pull open the drawer with the right gripper", + "subtask_index": 4 + }, + { + "subtask": "Grab the bottom drawer with the left gripper", + "subtask_index": 5 + }, + { + "subtask": "null", + "subtask_index": 6 + } + ], + "atomic_actions": [ + "grasp", + "pull" + ], + "robot_name": [ + "Agilex_Cobot_Magic" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 50, + "total_frames": 18620, + "fps": 30, + "total_tasks": 7, + "total_videos": 150, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 26, + "action_dim": 26, + "camera_views": 3, + "dataset_size": "182.16 MB" + }, + "frame_num": 18620, + "dataset_size": "182.16 MB", + "data_structure": "Agilex_Cobot_Magic_open_drawer_bottom_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- backup\n| |-- data\n| | `-- chunk-000\n| `-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:49" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 5 + ] + }, + "scene_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 1 + ] + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" + }, "Cobot_Magic_clean_up_the_tableware": { "path": "Cobot_Magic_clean_up_the_tableware", "dataset_name": "clean_up_the_tableware", @@ -18273,231 +20839,508 @@ "data_schema": "leju_robot_box_storage_parcel_i_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "leju_robot_box_storage_parcel_i_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, - "Cobot_Magic_storage_plate": { - "path": "Cobot_Magic_storage_plate", - "dataset_name": "storage_plate", - "robot_type": "", - "end_effector_type": [ - "two_finger_gripper" + "Airbot_MMK2_storage_shark_doll": { + "task_categories": [ + "robotics" ], - "scene_type": [], - "atomic_actions": [ - "grasp", - "pick", - "place" + "language": [ + "en" ], - "tasks": "Left grab the white plate.", + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_storage_shark_doll", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "commercial_convenience", + "level2": "supermarket", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", "objects": [ { "object_name": "table", - "level1": "furniture", + "level1": "home_storage", "level2": "table", "level3": null, "level4": null, "level5": null }, { - "object_name": "rack", - "level1": "furniture", - "level2": "rack", + "object_name": "shark_doll", + "level1": "toys", + "level2": "shark_doll", "level3": null, "level4": null, "level5": null }, { - "object_name": "tablecloth", - "level1": "clothing", - "level2": "tablecloth", + "object_name": "lid", + "level1": "laboratory_supplies", + "level2": "lid", "level3": null, "level4": null, "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "pick up the shark doll and put it in the lid." + ], + "sub_tasks": [ + { + "subtask": "Place the whale on the white lid with the right gripper", + "subtask_index": 0 }, { - "object_name": "plate", - "level1": "container", - "level2": "plate", - "level3": null, - "level4": null, - "level5": null + "subtask": "Grasp the whale with the left gripper", + "subtask_index": 1 + }, + { + "subtask": "Deliver the whale from left gripper to right gripper", + "subtask_index": 2 + }, + { + "subtask": "End", + "subtask_index": 3 + }, + { + "subtask": "null", + "subtask_index": 4 } ], - "operation_platform_height": 77.2, - "frame_range": "0-57019", - "dataset_size": "903.4MB", - "statistics": { - "total_episodes": 84, - "total_frames": 57019, - "total_tasks": 1, - "total_videos": 252, - "total_chunks": 1, - "chunks_size": 1000, - "fps": 50 - }, - "dataset_uuid": "9f0b0953-fa62-4d10-8b2a-17b1ff44e9cf", - "language": [ - "en", - "zh" + "atomic_actions": [ + "grasp", + "place", + "pick" ], - "task_categories": [ - "robotics" + "robot_name": [ + "Airbot_MMK2" ], - "sub_tasks": [ - "Left grab the white plate.", - "Left grab the gray plate.", - "Place the plate on the rack", - "Right place it at the front of the shelf.", - "Right receive the plate.", - "Pick up the plate from the table", - "Left lift the plate.", - "end", - "Left grab the blue plate.", - "Left grab the yellow plate.", - "Hand over the plate", - "Right place it at the back of the shelf.", - "Left grab the pink plate.", - "Left grab the green plate.", - "null" + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" ], - "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" - } - ] + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" }, - "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": "Cobot_Magic_storage_plate_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", - "structure": "Cobot_Magic_storage_plate_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" - }, - "Tianqin_A2_place_the_paper_box": { - "path": "Tianqin_A2_place_the_paper_box", - "dataset_name": "place_the_paper_box", - "robot_type": "", - "end_effector_type": [ - "two_finger_gripper" - ], - "scene_type": [], - "atomic_actions": [ - "grasp", - "pick", - "place" - ], - "tasks": "End", - "objects": [ - { - "object_name": "table", - "level1": "furniture", - "level2": "table", - "level3": null, - "level4": null, - "level5": null - }, - { - "object_name": "box", - "level1": "home_storage", - "level2": "box", - "level3": null, - "level4": null, - "level5": null - } + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" ], - "operation_platform_height": null, - "frame_range": "0-94841", - "dataset_size": "3.0GB", "statistics": { - "total_episodes": 236, - "total_frames": 94841, - "total_tasks": 1, - "total_videos": 708, + "total_episodes": 93, + "total_frames": 13034, + "fps": 30, + "total_tasks": 5, + "total_videos": 372, "total_chunks": 1, "chunks_size": 1000, - "fps": 30 - }, - "dataset_uuid": "291007f6-cfd0-4e23-bc97-da01c0f367ac", - "language": [ - "en", - "zh" - ], - "task_categories": [ - "robotics" - ], - "sub_tasks": [ - "End", - "Abnormal", - "Grasp the paper box", - "Place the paper box on the table", - "Place the data cable in the another box", - "Grasp the data cable", - "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" + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "461.32 MB" + }, + "frame_num": 13034, + "dataset_size": "461.32 MB", + "data_structure": "Airbot_MMK2_storage_shark_doll_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (81 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:92" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } }, "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" + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" } ] }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", "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": "Tianqin_A2_place_the_paper_box_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", - "structure": "Tianqin_A2_place_the_paper_box_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" }, - "Split_aloha_wipe_the_table": { - "path": "Split_aloha_wipe_the_table", - "dataset_name": "wipe_the_table", + "Cobot_Magic_storage_plate": { + "path": "Cobot_Magic_storage_plate", + "dataset_name": "storage_plate", "robot_type": "", "end_effector_type": [ "two_finger_gripper" @@ -18505,11 +21348,10 @@ "scene_type": [], "atomic_actions": [ "grasp", - "place", "pick", - "wipe" + "place" ], - "tasks": "Stand the paper cup upright", + "tasks": "Left grab the white plate.", "objects": [ { "object_name": "table", @@ -18520,43 +21362,43 @@ "level5": null }, { - "object_name": "cup", - "level1": "container", - "level2": "cup", + "object_name": "rack", + "level1": "furniture", + "level2": "rack", "level3": null, "level4": null, "level5": null }, { - "object_name": "rag", + "object_name": "tablecloth", "level1": "clothing", - "level2": "rag", + "level2": "tablecloth", "level3": null, "level4": null, "level5": null }, { - "object_name": "stain", - "level1": "garbage", - "level2": "stain", + "object_name": "plate", + "level1": "container", + "level2": "plate", "level3": null, "level4": null, "level5": null } ], "operation_platform_height": 77.2, - "frame_range": "0-166266", - "dataset_size": "1.3GB", + "frame_range": "0-57019", + "dataset_size": "903.4MB", "statistics": { - "total_episodes": 302, - "total_frames": 166266, - "total_tasks": 3, - "total_videos": 906, + "total_episodes": 84, + "total_frames": 57019, + "total_tasks": 1, + "total_videos": 252, "total_chunks": 1, "chunks_size": 1000, - "fps": 30 + "fps": 50 }, - "dataset_uuid": "c5648c51-14f0-4d84-a3cc-2fd1c28069a8", + "dataset_uuid": "9f0b0953-fa62-4d10-8b2a-17b1ff44e9cf", "language": [ "en", "zh" @@ -18565,8 +21407,231 @@ "robotics" ], "sub_tasks": [ - "Stand the paper cup upright", - "Wipe the stains off the table with a rag", + "Left grab the white plate.", + "Left grab the gray plate.", + "Place the plate on the rack", + "Right place it at the front of the shelf.", + "Right receive the plate.", + "Pick up the plate from the table", + "Left lift the plate.", + "end", + "Left grab the blue plate.", + "Left grab the yellow plate.", + "Hand over the plate", + "Right place it at the back of the shelf.", + "Left grab the pink plate.", + "Left grab the green plate.", + "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": "Cobot_Magic_storage_plate_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", + "structure": "Cobot_Magic_storage_plate_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + }, + "Tianqin_A2_place_the_paper_box": { + "path": "Tianqin_A2_place_the_paper_box", + "dataset_name": "place_the_paper_box", + "robot_type": "", + "end_effector_type": [ + "two_finger_gripper" + ], + "scene_type": [], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "tasks": "End", + "objects": [ + { + "object_name": "table", + "level1": "furniture", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "box", + "level1": "home_storage", + "level2": "box", + "level3": null, + "level4": null, + "level5": null + } + ], + "operation_platform_height": null, + "frame_range": "0-94841", + "dataset_size": "3.0GB", + "statistics": { + "total_episodes": 236, + "total_frames": 94841, + "total_tasks": 1, + "total_videos": 708, + "total_chunks": 1, + "chunks_size": 1000, + "fps": 30 + }, + "dataset_uuid": "291007f6-cfd0-4e23-bc97-da01c0f367ac", + "language": [ + "en", + "zh" + ], + "task_categories": [ + "robotics" + ], + "sub_tasks": [ + "End", + "Abnormal", + "Grasp the paper box", + "Place the paper box on the table", + "Place the data cable in the another box", + "Grasp the data cable", + "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": "Tianqin_A2_place_the_paper_box_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", + "structure": "Tianqin_A2_place_the_paper_box_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + }, + "Split_aloha_wipe_the_table": { + "path": "Split_aloha_wipe_the_table", + "dataset_name": "wipe_the_table", + "robot_type": "", + "end_effector_type": [ + "two_finger_gripper" + ], + "scene_type": [], + "atomic_actions": [ + "grasp", + "place", + "pick", + "wipe" + ], + "tasks": "Stand the paper cup upright", + "objects": [ + { + "object_name": "table", + "level1": "furniture", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "cup", + "level1": "container", + "level2": "cup", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "rag", + "level1": "clothing", + "level2": "rag", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "stain", + "level1": "garbage", + "level2": "stain", + "level3": null, + "level4": null, + "level5": null + } + ], + "operation_platform_height": 77.2, + "frame_range": "0-166266", + "dataset_size": "1.3GB", + "statistics": { + "total_episodes": 302, + "total_frames": 166266, + "total_tasks": 3, + "total_videos": 906, + "total_chunks": 1, + "chunks_size": 1000, + "fps": 30 + }, + "dataset_uuid": "c5648c51-14f0-4d84-a3cc-2fd1c28069a8", + "language": [ + "en", + "zh" + ], + "task_categories": [ + "robotics" + ], + "sub_tasks": [ + "Stand the paper cup upright", + "Wipe the stains off the table with a rag", "null" ], "annotations": { @@ -18859,6 +21924,528 @@ "data_schema": "AgiBot-g1_tool_storage_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_back_left_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_back_right_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_center_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_left_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_right_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "AgiBot-g1_tool_storage_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_back_left_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_back_right_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_center_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_left_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_right_fisheye_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Realman_RMC-AIDA-L_storage_towel_basket": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Realman_RMC-AIDA-L_storage_towel_basket", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "kitchen", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "furniture", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "basket", + "level1": "home_storage", + "level2": "basket", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "towel", + "level1": "daily_necessities", + "level2": "towel", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "the left gripper grasp the basket on the table, the right grippe pick up the towel on the table and place it into the basket." + ], + "sub_tasks": [ + { + "subtask": "Place the towel into the basket with the right gripper", + "subtask_index": 0 + }, + { + "subtask": "Abnormal", + "subtask_index": 1 + }, + { + "subtask": "PIck up the basket with the left gripper", + "subtask_index": 2 + }, + { + "subtask": "PIck up the towel with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "end", + "subtask_index": 4 + }, + { + "subtask": "null", + "subtask_index": 5 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Realman_RMC-AIDA-L" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 118, + "total_frames": 58520, + "fps": 30, + "total_tasks": 6, + "total_videos": 354, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 28, + "action_dim": 28, + "camera_views": 3, + "dataset_size": "684.59 MB" + }, + "frame_num": 58520, + "dataset_size": "684.59 MB", + "data_structure": "Realman_RMC-AIDA-L_storage_towel_basket_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (106 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:117" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 28 + ], + "names": [ + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_arm_joint_7_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad", + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_arm_joint_7_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 28 + ], + "names": [ + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_arm_joint_7_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad", + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_arm_joint_7_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "shape": [ + 2 + ], + "dtype": "float32" + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "shape": [ + 2 + ], + "dtype": "float32" + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" + }, "Cobot_Magic_cap_the_pen_a": { "path": "Cobot_Magic_cap_the_pen_a", "dataset_name": "cap_the_pen_a", @@ -19547,6 +23134,1069 @@ "data_schema": "AIRBOT_MMK2_close_the_computer_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "AIRBOT_MMK2_close_the_computer_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Galaxea_R1_Lite_storage_object_yellow_basket": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Galaxea_R1_Lite_storage_object_yellow_basket", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "living_room", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "yellow_basket", + "level1": "basket", + "level2": "yellow_basket", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "banana", + "level1": "fruits", + "level2": "banana", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "bathing_in_flowers", + "level1": "daily_chemical_products", + "level2": "bathing_in_flowers", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "blue_cup", + "level1": "cups", + "level2": "blue_cup", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "blue_pot", + "level1": "cookware", + "level2": "blue_pot", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "toast_slices", + "level1": "bread", + "level2": "toast_slices", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "brown_towel", + "level1": "towels", + "level2": "brown_towel", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "can", + "level1": "snacks", + "level2": "can", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "coke(slim_can)", + "level1": "beverages", + "level2": "coke(slim_can)", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "potato_chips", + "level1": "snacks", + "level2": "potato_chips", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "chocolate", + "level1": "snacks", + "level2": "chocolate", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "compass", + "level1": "stationery", + "level2": "compass", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "building_blocks", + "level1": "toys", + "level2": "building_blocks", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "egg_beater", + "level1": "kitchen_supplies", + "level2": "egg_beater", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "eraser", + "level1": "stationery", + "level2": "eraser", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "chewing_gum", + "level1": "snacks", + "level2": "chewing_gum", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "mentholatum_facial_cleanser", + "level1": "daily_chemical_products", + "level2": "mentholatum_facial_cleanser", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "green_lemon", + "level1": "fruits", + "level2": "green_lemon", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "peach", + "level1": "fruits", + "level2": "peach", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "power_strip", + "level1": "electrical_control_equipment", + "level2": "power_strip", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "round_bread", + "level1": "bread", + "level2": "round_bread", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "mentholatum_facial_cleanser", + "level1": "daily_necessities", + "level2": "mentholatum_facial_cleanser", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "square_building_blocks", + "level1": "building_blocks", + "level2": "square_building_blocks", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "tape", + "level1": "stationery", + "level2": "tape", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "cake", + "level1": "food", + "level2": "cake", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "duck", + "level1": "toys", + "level2": "duck", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "ambrosial_yogurt", + "level1": "beverages", + "level2": "ambrosial_yogurt", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "use a gripper to pick the target object and place on the yellow basket." + ], + "sub_tasks": [ + { + "subtask": "Grasp the blue pot with the left gripper", + "subtask_index": 0 + }, + { + "subtask": "Grasp the plugboard with the left gripper", + "subtask_index": 1 + }, + { + "subtask": "Place the round wooden block on the yellow basket with the left gripper", + "subtask_index": 2 + }, + { + "subtask": "Grasp the potato chips with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "Place the tin on the yellow basket with the right gripper", + "subtask_index": 4 + }, + { + "subtask": "Place the plugboard on the yellow basket with the left gripper", + "subtask_index": 5 + }, + { + "subtask": "Place the peach on the yellow basket with the left gripper", + "subtask_index": 6 + }, + { + "subtask": "Place the blue cup on the yellow basket with the right gripper", + "subtask_index": 7 + }, + { + "subtask": "Place the brown towel on the yellow basket with the right gripper", + "subtask_index": 8 + }, + { + "subtask": "Grasp the compasses with the right gripper", + "subtask_index": 9 + }, + { + "subtask": "Place the green lemon on the yellow basket with the right gripper", + "subtask_index": 10 + }, + { + "subtask": "Place the duck toy on the yellow basket with the right gripper", + "subtask_index": 11 + }, + { + "subtask": "Grasp the duck toy with the left gripper", + "subtask_index": 12 + }, + { + "subtask": "Place the blackboard erasure on the yellow basket with the left gripper", + "subtask_index": 13 + }, + { + "subtask": "Grasp the blue cup with the left gripper", + "subtask_index": 14 + }, + { + "subtask": "Place the bread slice on the yellow basket with the left gripper", + "subtask_index": 15 + }, + { + "subtask": "Place the hard facial cleanser on the yellow basket with the right gripper", + "subtask_index": 16 + }, + { + "subtask": "Place the peach on the yellow basket with the right gripper", + "subtask_index": 17 + }, + { + "subtask": "Grasp the back scratcher with the right gripper", + "subtask_index": 18 + }, + { + "subtask": "Place the tape on the yellow basket with the right gripper", + "subtask_index": 19 + }, + { + "subtask": "Place the blue pot on the yellow basket with the right gripper", + "subtask_index": 20 + }, + { + "subtask": "Grasp the chocolate cake with the right gripper", + "subtask_index": 21 + }, + { + "subtask": "Place the tape on the yellow basket with the left gripper", + "subtask_index": 22 + }, + { + "subtask": "Place the shower sphere on the yellow basket with the left gripper", + "subtask_index": 23 + }, + { + "subtask": "Place the yogurt on the yellow basket with the left gripper", + "subtask_index": 24 + }, + { + "subtask": "Grasp the shower sphere with the left gripper", + "subtask_index": 25 + }, + { + "subtask": "Grasp the plugboard with the right gripper", + "subtask_index": 26 + }, + { + "subtask": "Grasp the tin with the left gripper", + "subtask_index": 27 + }, + { + "subtask": "Grasp the brown towel with the left gripper", + "subtask_index": 28 + }, + { + "subtask": "Place the compasses on the yellow basket with the right gripper", + "subtask_index": 29 + }, + { + "subtask": "Place the hard facial cleanser on the yellow basket with the left gripper", + "subtask_index": 30 + }, + { + "subtask": "Grasp the hard facial cleanser with the left gripper", + "subtask_index": 31 + }, + { + "subtask": "Place the potato chips on the yellow basket with the left gripper", + "subtask_index": 32 + }, + { + "subtask": "Grasp the chocolate with the right gripper", + "subtask_index": 33 + }, + { + "subtask": "Place the banana on the yellow basket with the right gripper", + "subtask_index": 34 + }, + { + "subtask": "Grasp the peach with the right gripper", + "subtask_index": 35 + }, + { + "subtask": "Grasp the brown towel with the right gripper", + "subtask_index": 36 + }, + { + "subtask": "Place the chocolate cake on the yellow basket with the left gripper", + "subtask_index": 37 + }, + { + "subtask": "Place the shower sphere on the yellow basket with the right gripper", + "subtask_index": 38 + }, + { + "subtask": "Grasp the hard facial cleanser with the right gripper", + "subtask_index": 39 + }, + { + "subtask": "Place the back scratcher on the yellow basket with the right gripper", + "subtask_index": 40 + }, + { + "subtask": "Grasp the peach with the left gripper", + "subtask_index": 41 + }, + { + "subtask": "Place the blue cup on the yellow basket with the left gripper", + "subtask_index": 42 + }, + { + "subtask": "Grasp the green lemon with the right gripper", + "subtask_index": 43 + }, + { + "subtask": "Place the soft facial cleanser on the yellow basket with the right gripper", + "subtask_index": 44 + }, + { + "subtask": "Grasp the bread slice with the right gripper", + "subtask_index": 45 + }, + { + "subtask": "Grasp the potato chips with the left gripper", + "subtask_index": 46 + }, + { + "subtask": "Grasp the duck toy with the right gripper", + "subtask_index": 47 + }, + { + "subtask": "End", + "subtask_index": 48 + }, + { + "subtask": "Grasp the blackboard erasure with the left gripper", + "subtask_index": 49 + }, + { + "subtask": "Grasp the coke with the left gripper", + "subtask_index": 50 + }, + { + "subtask": "Place the blackboard erasure on the yellow basket with the right gripper", + "subtask_index": 51 + }, + { + "subtask": "Grasp the round wooden block with the left gripper", + "subtask_index": 52 + }, + { + "subtask": "Place the tin on the yellow basket with the left gripper", + "subtask_index": 53 + }, + { + "subtask": "Place the bread slice on the yellow basket with the right gripper", + "subtask_index": 54 + }, + { + "subtask": "Place the compasses on the yellow basket with the left gripper", + "subtask_index": 55 + }, + { + "subtask": "Place the square wooden block on the yellow basket with the left gripper", + "subtask_index": 56 + }, + { + "subtask": "Place the chocolate cake on the yellow basket with the right gripper", + "subtask_index": 57 + }, + { + "subtask": "Grasp the compasses with the left gripper", + "subtask_index": 58 + }, + { + "subtask": "Place the peach doll on the yellow basket with the left gripper", + "subtask_index": 59 + }, + { + "subtask": "Grasp the blue pot with the right gripper", + "subtask_index": 60 + }, + { + "subtask": "Grasp the round bread with the right gripper", + "subtask_index": 61 + }, + { + "subtask": "Grasp the chocolate cake with the left gripper", + "subtask_index": 62 + }, + { + "subtask": "Place the coke on the yellow basket with the left gripper", + "subtask_index": 63 + }, + { + "subtask": "Place the duck toy on the yellow basket with the left gripper", + "subtask_index": 64 + }, + { + "subtask": "Grasp the tin with the right gripper", + "subtask_index": 65 + }, + { + "subtask": "Place the round wooden block on the yellow basket with the right gripper", + "subtask_index": 66 + }, + { + "subtask": "Place the square wooden block on the yellow basket with the right gripper", + "subtask_index": 67 + }, + { + "subtask": "Grasp the tape with the right gripper", + "subtask_index": 68 + }, + { + "subtask": "Grasp the coke with the right gripper", + "subtask_index": 69 + }, + { + "subtask": "Place the round bread on the yellow basket with the right gripper", + "subtask_index": 70 + }, + { + "subtask": "Grasp the tape with the left gripper", + "subtask_index": 71 + }, + { + "subtask": "Grasp the square chewing gum with the right gripper", + "subtask_index": 72 + }, + { + "subtask": "Grasp the peach doll with the left gripper", + "subtask_index": 73 + }, + { + "subtask": "Grasp the shower sphere with the right gripper", + "subtask_index": 74 + }, + { + "subtask": "Place the brown towel on the yellow basket with the left gripper", + "subtask_index": 75 + }, + { + "subtask": "Grasp the bread slice with the left gripper", + "subtask_index": 76 + }, + { + "subtask": "Grasp the yogurt with the left gripper", + "subtask_index": 77 + }, + { + "subtask": "Grasp the blackboard erasure with the right gripper", + "subtask_index": 78 + }, + { + "subtask": "Place the coke on the yellow basket with the right gripper", + "subtask_index": 79 + }, + { + "subtask": "Place the chocolate on the yellow basket with the right gripper", + "subtask_index": 80 + }, + { + "subtask": "Place the potato chips on the yellow basket with the right gripper", + "subtask_index": 81 + }, + { + "subtask": "Place the plugboard on the yellow basket with the right gripper", + "subtask_index": 82 + }, + { + "subtask": "Place the blue pot on the yellow basket with the left gripper", + "subtask_index": 83 + }, + { + "subtask": "Place the round bread on the yellow basket with the left gripper", + "subtask_index": 84 + }, + { + "subtask": "Grasp the round bread with the left gripper", + "subtask_index": 85 + }, + { + "subtask": "Grasp the square wooden block with the left gripper", + "subtask_index": 86 + }, + { + "subtask": "Grasp the blue cup with the right gripper", + "subtask_index": 87 + }, + { + "subtask": "Grasp the soft facial cleanser with the right gripper", + "subtask_index": 88 + }, + { + "subtask": "Grasp the square wooden block with the right gripper", + "subtask_index": 89 + }, + { + "subtask": "Grasp the round wooden block with the right gripper", + "subtask_index": 90 + }, + { + "subtask": "Place the square chewing gum on the yellow basket with the right gripper", + "subtask_index": 91 + }, + { + "subtask": "Grasp the banana with the right gripper", + "subtask_index": 92 + }, + { + "subtask": "null", + "subtask_index": 93 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Galaxea_R1_Lite" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_left_rgb", + "cam_head_right_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_left_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p", + "cam_head_right_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 102, + "total_frames": 18153, + "fps": 30, + "total_tasks": 94, + "total_videos": 408, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 14, + "action_dim": 14, + "camera_views": 4, + "dataset_size": "742.42 MB" + }, + "frame_num": 18153, + "dataset_size": "742.42 MB", + "data_structure": "Galaxea_R1_Lite_storage_object_yellow_basket_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (90 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_left_rgb\n| |-- observation.images.cam_head_right_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:101" + }, + "features": { + "observation.images.cam_head_left_rgb": { + "dtype": "video", + "shape": [ + 720, + 1280, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 720, + "video.width": 1280, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_head_right_rgb": { + "dtype": "video", + "shape": [ + 720, + 1280, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 720, + "video.width": 1280, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 720, + 1280, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 720, + "video.width": 1280, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 720, + 1280, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 720, + "video.width": 1280, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 14 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_gripper_open", + "right_gripper_open" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 14 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_gripper_open", + "right_gripper_open" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "shape": [ + 2 + ], + "dtype": "float32" + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "shape": [ + 2 + ], + "dtype": "float32" + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4" + }, "RMC-AIDA-L_organise_the_document_bag": { "path": "RMC-AIDA-L_organise_the_document_bag", "dataset_name": "organise_the_document_bag", @@ -20727,6 +25377,498 @@ "data_schema": "R1_Lite_put_the_pillow_on_the_bed_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "R1_Lite_put_the_pillow_on_the_bed_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Airbot_MMK2_storage_diamond_ring": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_storage_diamond_ring", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "bedroom", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "diamond_ring", + "level1": "daily_necessities", + "level2": "diamond_ring", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "flip_top_paper_boxes", + "level1": "packaging", + "level2": "flip_top_paper_boxes", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "put the ring into the box." + ], + "sub_tasks": [ + { + "subtask": "Place the diamond ring in the box with the right gripper", + "subtask_index": 0 + }, + { + "subtask": "End", + "subtask_index": 1 + }, + { + "subtask": "Close the lid of the box with the left gripper", + "subtask_index": 2 + }, + { + "subtask": "Grasp the diamond ring with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "null", + "subtask_index": 4 + } + ], + "atomic_actions": [ + "grasp", + "place", + "pick", + "turn" + ], + "robot_name": [ + "Airbot_MMK2" + ], + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 50, + "total_frames": 9131, + "fps": 30, + "total_tasks": 5, + "total_videos": 200, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "426.97 MB" + }, + "frame_num": 9131, + "dataset_size": "426.97 MB", + "data_structure": "Airbot_MMK2_storage_diamond_ring_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:49" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" + }, "RMC-AIDA-L_stir_coffee": { "path": "RMC-AIDA-L_stir_coffee", "dataset_name": "stir_coffee", @@ -20853,6 +25995,521 @@ "data_schema": "RMC-AIDA-L_stir_coffee_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "RMC-AIDA-L_stir_coffee_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Airbot_MMK2_stack_cubic_block": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_stack_cubic_block", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "bedroom", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "square_building_blocks", + "level1": "toys", + "level2": "square_building_blocks", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "pick up the building blocks with left and right hands respectively and place them on the blocks." + ], + "sub_tasks": [ + { + "subtask": "Grasp the blue build blocks with the right gripper", + "subtask_index": 0 + }, + { + "subtask": "End", + "subtask_index": 1 + }, + { + "subtask": "Place the blue build blocks on the red build block with the right gripper", + "subtask_index": 2 + }, + { + "subtask": "Place the yellow build blocks on the orange build block with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "Place the red build blocks on the center of the table with the left gripper", + "subtask_index": 4 + }, + { + "subtask": "Place the orange build blocks on the yellow build block with the right gripper", + "subtask_index": 5 + }, + { + "subtask": "Grasp the blue build blocks with the left gripper", + "subtask_index": 6 + }, + { + "subtask": "Grasp the red build blocks with the left gripper", + "subtask_index": 7 + }, + { + "subtask": "Abnormal", + "subtask_index": 8 + }, + { + "subtask": "Grasp the orange build blocks with the right gripper", + "subtask_index": 9 + }, + { + "subtask": "Place the blue build blocks on the red build block with the left gripper", + "subtask_index": 10 + }, + { + "subtask": "Grasp the yellow build blocks with the right gripper", + "subtask_index": 11 + }, + { + "subtask": "null", + "subtask_index": 12 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Airbot_MMK2" + ], + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 162, + "total_frames": 48691, + "fps": 30, + "total_tasks": 13, + "total_videos": 648, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "1.92 GB" + }, + "frame_num": 48691, + "dataset_size": "1.92 GB", + "data_structure": "Airbot_MMK2_stack_cubic_block_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (150 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:161" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" + }, "G1edu-u3_bowl_storage_grape_singletry": { "path": "G1edu-u3_bowl_storage_grape_singletry", "dataset_name": "bowl_storage_grape_singletry", @@ -21089,214 +26746,709 @@ ], "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": "RMC-AIDA-L_fruit_storage_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", - "structure": "RMC-AIDA-L_fruit_storage_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + "data_schema": "RMC-AIDA-L_fruit_storage_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", + "structure": "RMC-AIDA-L_fruit_storage_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + }, + "G1edu-u3_pick_up_the_bottled_water_as": { + "path": "G1edu-u3_pick_up_the_bottled_water_as", + "dataset_name": "pick_up_the_bottled_water_as", + "robot_type": "", + "end_effector_type": [ + "three_finger_hand" + ], + "scene_type": [], + "atomic_actions": [ + "grasp", + "pick" + ], + "tasks": "Grasp the water bottle and lift it to the center of the view with right gripper", + "objects": [ + { + "object_name": "table", + "level1": "furniture", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "bottle", + "level1": "container", + "level2": "bottle", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "water", + "level1": "beverages", + "level2": "water", + "level3": null, + "level4": null, + "level5": null + } + ], + "operation_platform_height": null, + "frame_range": "0-9753", + "dataset_size": "116.6MB", + "statistics": { + "total_episodes": 24, + "total_frames": 9753, + "total_tasks": 1, + "total_videos": 24, + "total_chunks": 1, + "chunks_size": 24, + "fps": 30 + }, + "dataset_uuid": "a5f8649a-a1ab-415a-9fd4-b48b04fab77e", + "language": [ + "en", + "zh" + ], + "task_categories": [ + "robotics" + ], + "sub_tasks": [ + "Grasp the water bottle and lift it to the center of the view with right gripper", + "Grasp the water bottle and lift it to the center of the view with left gripper", + "End", + "Abnormal", + "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": "G1edu-u3_pick_up_the_bottled_water_as_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", + "structure": "G1edu-u3_pick_up_the_bottled_water_as_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + }, + "G1edu-u3_pick_up_the_tissue_box_ao": { + "path": "G1edu-u3_pick_up_the_tissue_box_ao", + "dataset_name": "pick_up_the_tissue_box_ao", + "robot_type": "", + "end_effector_type": [ + "three_finger_hand" + ], + "scene_type": [], + "atomic_actions": [ + "grasp", + "pick" + ], + "tasks": "Grasp the tissue box and lift it to the center of the view with both gripper", + "objects": [ + { + "object_name": "table", + "level1": "furniture", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "box", + "level1": "home_storage", + "level2": "box", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "tissue", + "level1": "daily_necessities", + "level2": "tissue", + "level3": null, + "level4": null, + "level5": null + } + ], + "operation_platform_height": null, + "frame_range": "0-21166", + "dataset_size": "273.8MB", + "statistics": { + "total_episodes": 29, + "total_frames": 21166, + "total_tasks": 1, + "total_videos": 29, + "total_chunks": 1, + "chunks_size": 29, + "fps": 30 + }, + "dataset_uuid": "3adf4438-1317-4ffb-9447-b4dd516c8559", + "language": [ + "en", + "zh" + ], + "task_categories": [ + "robotics" + ], + "sub_tasks": [ + "Grasp the tissue box and lift it to the center of the view with both gripper", + "End", + "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": "G1edu-u3_pick_up_the_tissue_box_ao_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", + "structure": "G1edu-u3_pick_up_the_tissue_box_ao_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, - "G1edu-u3_pick_up_the_bottled_water_as": { - "path": "G1edu-u3_pick_up_the_bottled_water_as", - "dataset_name": "pick_up_the_bottled_water_as", - "robot_type": "", - "end_effector_type": [ - "three_finger_hand" + "Airbot_MMK2_take_dog_doll": { + "task_categories": [ + "robotics" ], - "scene_type": [], - "atomic_actions": [ - "grasp", - "pick" + "language": [ + "en" ], - "tasks": "Grasp the water bottle and lift it to the center of the view with right gripper", + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_take_dog_doll", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "living_room", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", "objects": [ { - "object_name": "table", - "level1": "furniture", - "level2": "table", + "object_name": "toy_dog", + "level1": "doll", + "level2": "toy_dog", "level3": null, "level4": null, "level5": null }, { - "object_name": "bottle", - "level1": "container", - "level2": "bottle", + "object_name": "lid", + "level1": "storage_utensils", + "level2": "lid", "level3": null, "level4": null, "level5": null }, { - "object_name": "water", - "level1": "beverages", - "level2": "water", + "object_name": "table", + "level1": "furniture", + "level2": "table", "level3": null, "level4": null, "level5": null } ], - "operation_platform_height": null, - "frame_range": "0-9753", - "dataset_size": "116.6MB", - "statistics": { - "total_episodes": 24, - "total_frames": 9753, - "total_tasks": 1, - "total_videos": 24, - "total_chunks": 1, - "chunks_size": 24, - "fps": 30 - }, - "dataset_uuid": "a5f8649a-a1ab-415a-9fd4-b48b04fab77e", - "language": [ - "en", - "zh" - ], - "task_categories": [ - "robotics" + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "pick up the toy dog from the white lid by hand and place it on the table." ], "sub_tasks": [ - "Grasp the water bottle and lift it to the center of the view with right gripper", - "Grasp the water bottle and lift it to the center of the view with left gripper", - "End", - "Abnormal", - "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": "G1edu-u3_pick_up_the_bottled_water_as_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", - "structure": "G1edu-u3_pick_up_the_bottled_water_as_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" - }, - "G1edu-u3_pick_up_the_tissue_box_ao": { - "path": "G1edu-u3_pick_up_the_tissue_box_ao", - "dataset_name": "pick_up_the_tissue_box_ao", - "robot_type": "", - "end_effector_type": [ - "three_finger_hand" - ], - "scene_type": [], - "atomic_actions": [ - "grasp", - "pick" - ], - "tasks": "Grasp the tissue box and lift it to the center of the view with both gripper", - "objects": [ { - "object_name": "table", - "level1": "furniture", - "level2": "table", - "level3": null, - "level4": null, - "level5": null + "subtask": "Place the puppy on the table with the left and right grippers", + "subtask_index": 0 }, { - "object_name": "box", - "level1": "home_storage", - "level2": "box", - "level3": null, - "level4": null, - "level5": null + "subtask": "Grasp the puppy with the left and right grippers", + "subtask_index": 1 }, { - "object_name": "tissue", - "level1": "daily_necessities", - "level2": "tissue", - "level3": null, - "level4": null, - "level5": null + "subtask": "End", + "subtask_index": 2 + }, + { + "subtask": "null", + "subtask_index": 3 } ], - "operation_platform_height": null, - "frame_range": "0-21166", - "dataset_size": "273.8MB", - "statistics": { - "total_episodes": 29, - "total_frames": 21166, - "total_tasks": 1, - "total_videos": 29, - "total_chunks": 1, - "chunks_size": 29, - "fps": 30 - }, - "dataset_uuid": "3adf4438-1317-4ffb-9447-b4dd516c8559", - "language": [ - "en", - "zh" + "atomic_actions": [ + "grasp", + "pick", + "place" ], - "task_categories": [ - "robotics" + "robot_name": [ + "Airbot_MMK2" ], - "sub_tasks": [ - "Grasp the tissue box and lift it to the center of the view with both gripper", - "End", - "null" + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" ], - "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" + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 50, + "total_frames": 6425, + "fps": 30, + "total_tasks": 4, + "total_videos": 200, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "253.22 MB" + }, + "frame_num": 6425, + "dataset_size": "253.22 MB", + "data_structure": "Airbot_MMK2_take_dog_doll_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:49" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } }, "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" + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" } ] }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", "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": "G1edu-u3_pick_up_the_tissue_box_ao_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", - "structure": "G1edu-u3_pick_up_the_tissue_box_ao_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" }, "Split_aloha_basket_storage_orange": { "path": "Split_aloha_basket_storage_orange", @@ -23376,6 +29528,509 @@ "data_schema": "AIRBOT_MMK2_store_wet_wipes_and_bowls_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "AIRBOT_MMK2_store_wet_wipes_and_bowls_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Airbot_MMK2_take_part_both_hands": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_take_part_both_hands", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "living_room", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "item", + "level1": "item", + "level2": "item", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "square_building_blocks", + "level1": "building_blocks", + "level2": "square_building_blocks", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "table", + "level1": "furniture", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "take the items off the building blocks with both hands and place them on the table." + ], + "sub_tasks": [ + { + "subtask": "Grasp the steel tube on the cube block with the right gripper", + "subtask_index": 0 + }, + { + "subtask": "Grasp the steel tube on the cube block with the left gripper", + "subtask_index": 1 + }, + { + "subtask": "Place the steel tube on the table with the left gripper", + "subtask_index": 2 + }, + { + "subtask": "Place the steel tube on the table with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "End", + "subtask_index": 4 + }, + { + "subtask": "null", + "subtask_index": 5 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Airbot_MMK2" + ], + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 50, + "total_frames": 6348, + "fps": 30, + "total_tasks": 6, + "total_videos": 200, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "239.11 MB" + }, + "frame_num": 6348, + "dataset_size": "239.11 MB", + "data_structure": "Airbot_MMK2_take_part_both_hands_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:49" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" + }, "Galbot_g1_steamer_storage_baozi_g": { "path": "Galbot_g1_steamer_storage_baozi_g", "dataset_name": "steamer_storage_baozi_g", @@ -23816,6 +30471,513 @@ "data_schema": "AIRBOT_MMK2_mobile_phone_storage_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "AIRBOT_MMK2_mobile_phone_storage_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Airbot_MMK2_take_bowl_sponge": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_take_bowl_sponge", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "kitchen", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "cleaning_sponge", + "level1": "cleaning", + "level2": "cleaning_sponge", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "bowl", + "level1": "bowl", + "level2": "bowl", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "table", + "level1": "furniture", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "pick up the sponge and bowl by hand and place them on the table." + ], + "sub_tasks": [ + { + "subtask": "Place the sponge on the table with the left gripper", + "subtask_index": 0 + }, + { + "subtask": "Abnormal", + "subtask_index": 1 + }, + { + "subtask": "Grasp the sponge on the white basket and with the left gripper", + "subtask_index": 2 + }, + { + "subtask": "Grasp the bowl on the white basket and with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "End", + "subtask_index": 4 + }, + { + "subtask": "Place the bowl on the table with the right gripper", + "subtask_index": 5 + }, + { + "subtask": "null", + "subtask_index": 6 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Airbot_MMK2" + ], + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 42, + "total_frames": 11308, + "fps": 30, + "total_tasks": 7, + "total_videos": 168, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "373.70 MB" + }, + "frame_num": 11308, + "dataset_size": "373.70 MB", + "data_structure": "Airbot_MMK2_take_bowl_sponge_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (30 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:41" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" + }, "Airbot_MMK2_storage_tumbler_umbrella": { "path": "Airbot_MMK2_storage_tumbler_umbrella", "dataset_name": "Airbot_MMK2_storage_tumbler_umbrella", @@ -28474,6 +35636,658 @@ "data_schema": "R1_Lite_move_the_position_of_the_brush_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_left_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_right_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "R1_Lite_move_the_position_of_the_brush_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_left_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_right_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Galaxea_R1_Lite_pour_solid": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Galaxea_R1_Lite_pour_solid", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "ousehhold", + "level2": "kitchen", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "white_table", + "level1": "furniture", + "level2": "white_table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "plastic_cup", + "level1": "cups", + "level2": "plastic_cup", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "green_dish", + "level1": "plates", + "level2": "green_dish", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "pink_bowl", + "level1": "plastic_bowls", + "level2": "pink_bowl", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "solid", + "level1": "materials", + "level2": "solid", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "use a gripper to pick up the cup and pour the solid into a bowl or tray." + ], + "sub_tasks": [ + { + "subtask": "Grasp the glass of shrimp with the left gripper", + "subtask_index": 0 + }, + { + "subtask": "Pick up blue cup filled with coffee beans with left gripper", + "subtask_index": 1 + }, + { + "subtask": "Place blue cup with coffee beans on the table with left gripper", + "subtask_index": 2 + }, + { + "subtask": "Pour the shrimp into the green bowl with the left gripper", + "subtask_index": 3 + }, + { + "subtask": "Pour the coffee beans into the pink bowl with the left gripper", + "subtask_index": 4 + }, + { + "subtask": "Pour the coffee beans into the pink bowl with the right gripper", + "subtask_index": 5 + }, + { + "subtask": "Left gripper", + "subtask_index": 6 + }, + { + "subtask": "Pour the shrimp into the green bowl with the right gripper", + "subtask_index": 7 + }, + { + "subtask": "Pick up blue cup filled with shrimp with left gripper", + "subtask_index": 8 + }, + { + "subtask": "Place blue cup with shrimp on the table with left gripper", + "subtask_index": 9 + }, + { + "subtask": "Pick up blue cup filled with coffee beans with right gripper", + "subtask_index": 10 + }, + { + "subtask": "Grasp the glass of coffee beans with the left gripper", + "subtask_index": 11 + }, + { + "subtask": "Pour the shrimp into the pink bowl with left gripper", + "subtask_index": 12 + }, + { + "subtask": "Pour the coffee beans into the green bowl with the left gripper", + "subtask_index": 13 + }, + { + "subtask": "Pour the coffee beans into the pink bowl with left gripper", + "subtask_index": 14 + }, + { + "subtask": "Grasp the glass of coffee beans with the right gripper", + "subtask_index": 15 + }, + { + "subtask": "Pour the coffee beans into the green plate with the right gripper", + "subtask_index": 16 + }, + { + "subtask": "Pour the shrimp into the pink bowl with the right gripper", + "subtask_index": 17 + }, + { + "subtask": "Grasp the glass of shrimp with the right gripper", + "subtask_index": 18 + }, + { + "subtask": "Pour the coffee beans into the green plate with the left gripper", + "subtask_index": 19 + }, + { + "subtask": "Place blue cup with coffee powder on the table with left gripper", + "subtask_index": 20 + }, + { + "subtask": "Place the glass cup with the right gripper", + "subtask_index": 21 + }, + { + "subtask": "Place blue cup with coffee beans on the table with right gripper", + "subtask_index": 22 + }, + { + "subtask": "End", + "subtask_index": 23 + }, + { + "subtask": "Pour the coffee beans into the green bowl with the right gripper", + "subtask_index": 24 + }, + { + "subtask": "Place blue cup with shrimp on the table with right gripper", + "subtask_index": 25 + }, + { + "subtask": "Pick up blue cup filled with shrimp with right gripper", + "subtask_index": 26 + }, + { + "subtask": "Pour the shrimp into the pink bowl with right gripper", + "subtask_index": 27 + }, + { + "subtask": "Pour the shrimp into the pink bowl with the left gripper", + "subtask_index": 28 + }, + { + "subtask": "Pour the shrimp into the blue basin with left gripper", + "subtask_index": 29 + }, + { + "subtask": "Pour the coffee beans into the blue basin with right gripper", + "subtask_index": 30 + }, + { + "subtask": "Right gripper", + "subtask_index": 31 + }, + { + "subtask": "Pour the shrimp into the blue basin with right gripper", + "subtask_index": 32 + }, + { + "subtask": "Place the glass cup with the left gripper", + "subtask_index": 33 + }, + { + "subtask": "null", + "subtask_index": 34 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place", + "pour" + ], + "robot_name": [ + "Galaxea_R1_Lite" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_left_rgb", + "cam_head_right_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_left_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p", + "cam_head_right_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=360x640x3, resolution=640x360, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=360x640x3, resolution=640x360, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 39, + "total_frames": 16353, + "fps": 30, + "total_tasks": 35, + "total_videos": 156, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 14, + "action_dim": 14, + "camera_views": 4, + "dataset_size": "459.77 MB" + }, + "frame_num": 16353, + "dataset_size": "459.77 MB", + "data_structure": "Galaxea_R1_Lite_Galaxea_R1_Lite_pour_solid_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (27 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_left_rgb\n| |-- observation.images.cam_head_right_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:38" + }, + "features": { + "observation.images.cam_head_left_rgb": { + "dtype": "video", + "shape": [ + 720, + 1280, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 720, + "video.width": 1280, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_head_right_rgb": { + "dtype": "video", + "shape": [ + 720, + 1280, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 720, + "video.width": 1280, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 360, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 360, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 360, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 360, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 14 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_gripper_open", + "right_gripper_open" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 14 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_gripper_open", + "right_gripper_open" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "shape": [ + 2 + ], + "dtype": "float32" + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "shape": [ + 2 + ], + "dtype": "float32" + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4" + }, "R1_Lite_boil_water_in_a_kettle": { "path": "R1_Lite_boil_water_in_a_kettle", "dataset_name": "boil_water_in_a_kettle", @@ -29114,6 +36928,513 @@ "data_schema": "G1edu-u3_place_metal_bowl_ae_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "G1edu-u3_place_metal_bowl_ae_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n └── observation.images.ego_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Airbot_MMK2_storage_tape_measure_umbrella": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_storage_tape_measure_umbrella", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "living_room", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "basin", + "level1": "storage_utensils", + "level2": "basin", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "tape_measure", + "level1": "rulers", + "level2": "tape_measure", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "umbrella", + "level1": "items", + "level2": "umbrella", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "put the tape measure and the umbrella in the basin." + ], + "sub_tasks": [ + { + "subtask": "End", + "subtask_index": 0 + }, + { + "subtask": "Grasp the tape measure with the right gripper", + "subtask_index": 1 + }, + { + "subtask": "Grasp the umbrella with the left gripper", + "subtask_index": 2 + }, + { + "subtask": "Static", + "subtask_index": 3 + }, + { + "subtask": "Place the umbrella in the white basket with the left gripper", + "subtask_index": 4 + }, + { + "subtask": "Place the tape measure in the white basket with the right gripper", + "subtask_index": 5 + }, + { + "subtask": "null", + "subtask_index": 6 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Airbot_MMK2" + ], + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 40, + "total_frames": 7112, + "fps": 30, + "total_tasks": 7, + "total_videos": 160, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "236.10 MB" + }, + "frame_num": 7112, + "dataset_size": "236.10 MB", + "data_structure": "Airbot_MMK2_storage_tape_measure_umbrella_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (28 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:39" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" + }, "AgiBot-g1_robotic_arm_picks_up_parts": { "path": "AgiBot-g1_robotic_arm_picks_up_parts", "dataset_name": "robotic_arm_picks_up_parts", @@ -32041,6 +40362,515 @@ "data_schema": "leju_robot_hotel_services_b_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "leju_robot_hotel_services_b_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Agilex_Cobot_Magic_close_drawer_upper": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Agilex_Cobot_Magic_close_drawer_upper", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "office_workspace", + "level2": "office", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "home_storage", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "three_layer_transparent_drawer", + "level1": "laboratory_supplies", + "level2": "three-layer_transparent_drawer", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "close the upper drawer." + ], + "sub_tasks": [ + { + "subtask": "Use the right gripper to touch the topmost layer of the storage cabinet", + "subtask_index": 0 + }, + { + "subtask": "Push the top drawer closed", + "subtask_index": 1 + }, + { + "subtask": "Use the right gripper to contact the middle shelf of the cabinet", + "subtask_index": 2 + }, + { + "subtask": "End", + "subtask_index": 3 + }, + { + "subtask": "Push the middle drawer closed", + "subtask_index": 4 + }, + { + "subtask": "null", + "subtask_index": 5 + } + ], + "atomic_actions": [ + "grasp", + "push" + ], + "robot_name": [ + "Agilex_Cobot_Magic" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 173, + "total_frames": 49994, + "fps": 30, + "total_tasks": 6, + "total_videos": 519, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 26, + "action_dim": 26, + "camera_views": 3, + "dataset_size": "522.40 MB" + }, + "frame_num": 49994, + "dataset_size": "522.40 MB", + "data_structure": "Agilex_Cobot_Magic_close_drawer_upper_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- backup\n| |-- data\n| | `-- chunk-000\n| `-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (161 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:172" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" + }, "Cobot_Magic_pour_water_bottle": { "path": "Cobot_Magic_pour_water_bottle", "dataset_name": "pour_water_bottle", @@ -37760,6 +46590,505 @@ "data_schema": "R1_Lite_move_the_position_of_the_orange_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_left_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_right_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "R1_Lite_move_the_position_of_the_orange_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_left_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_high_right_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Airbot_MMK2_slide_tape_onto_can": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_slide_tape_onto_can", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "kitchen", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "early_education_toys", + "level1": "toys", + "level2": "early_education_toys", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "beverages", + "level1": "beverages", + "level2": "beverages", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "pick up the rings with left and right hands respectively and place them on the beverage cans." + ], + "sub_tasks": [ + { + "subtask": "Grasp the transparent circular ring on the left with the left gripper", + "subtask_index": 0 + }, + { + "subtask": "Place the transparent circular ring on the left onto the fanta in the middle with left gripper", + "subtask_index": 1 + }, + { + "subtask": "Place the transparent circular ring on the right onto the fanta in the middle with right gripper", + "subtask_index": 2 + }, + { + "subtask": "Abnormal", + "subtask_index": 3 + }, + { + "subtask": "Grasp the transparent circular ring on the right with the right gripper", + "subtask_index": 4 + }, + { + "subtask": "End", + "subtask_index": 5 + }, + { + "subtask": "null", + "subtask_index": 6 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Airbot_MMK2" + ], + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 44, + "total_frames": 10133, + "fps": 30, + "total_tasks": 7, + "total_videos": 176, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "490.04 MB" + }, + "frame_num": 10133, + "dataset_size": "490.04 MB", + "data_structure": "Airbot_MMK2_slide_tape_onto_can_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (32 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:43" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" + }, "R1_Lite_move_the_position_of_the_spoon": { "path": "R1_Lite_move_the_position_of_the_spoon", "dataset_name": "move_the_position_of_the_spoon", @@ -39293,6 +48622,604 @@ "data_schema": "R1_Lite_wipe_the_table_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "R1_Lite_wipe_the_table_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Agilex_Cobot_Magic_storage_object_closest": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Agilex_Cobot_Magic_storage_object_closest", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "bathroom", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "home_storage", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "brown_basket", + "level1": "container", + "level2": "brown_basket", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "mentholatum_facial_cleanser", + "level1": "daily_necessities", + "level2": "mentholatum_facial_cleanser", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "toothpaste", + "level1": "daily_necessities", + "level2": "toothpaste", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "cleanser", + "level1": "daily_necessities", + "level2": "cleanser", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "blue_moon_laundry_detergent", + "level1": "daily_necessities", + "level2": "blue_moon_laundry_detergent", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "shampoo", + "level1": "daily_necessities", + "level2": "shampoo", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "Place the object closest to the toothpaste in the basket." + ], + "sub_tasks": [ + { + "subtask": "Grasp the shampoo with left gripper", + "subtask_index": 0 + }, + { + "subtask": "Grasp the soft facial cleanser with right gripper", + "subtask_index": 1 + }, + { + "subtask": "Place the pink laundry detergent in the basket with right gripper", + "subtask_index": 2 + }, + { + "subtask": "Place the cleaning agent in the basket with left gripper", + "subtask_index": 3 + }, + { + "subtask": "Place the shampoo in the basket with right gripper", + "subtask_index": 4 + }, + { + "subtask": "Grasp the shampoo with right gripper", + "subtask_index": 5 + }, + { + "subtask": "Place the pink laundry detergent in the basket with left gripper", + "subtask_index": 6 + }, + { + "subtask": "Place the soft facial cleanser in the basket with right gripper", + "subtask_index": 7 + }, + { + "subtask": "Grasp the pink laundry detergent with right gripper", + "subtask_index": 8 + }, + { + "subtask": "Grasp the soft facial cleanser with left gripper", + "subtask_index": 9 + }, + { + "subtask": "Place the cleaning agent in the basket with right gripper", + "subtask_index": 10 + }, + { + "subtask": "Place the soft facial cleanser in the basket with left gripper", + "subtask_index": 11 + }, + { + "subtask": "Grasp the pink laundry detergent with left gripper", + "subtask_index": 12 + }, + { + "subtask": "Place the shampoo in the basket with left gripper", + "subtask_index": 13 + }, + { + "subtask": "End", + "subtask_index": 14 + }, + { + "subtask": "Grasp the cleaning agent with right gripper", + "subtask_index": 15 + }, + { + "subtask": "Grasp the cleaning agent with left gripper", + "subtask_index": 16 + }, + { + "subtask": "null", + "subtask_index": 17 + } + ], + "atomic_actions": [ + "grasp", + "lift", + "lower" + ], + "robot_name": [ + "Agilex_Cobot_Magic" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 100, + "total_frames": 29779, + "fps": 30, + "total_tasks": 18, + "total_videos": 300, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 26, + "action_dim": 26, + "camera_views": 3, + "dataset_size": "506.53 MB" + }, + "frame_num": 29779, + "dataset_size": "506.53 MB", + "data_structure": "Agilex_Cobot_Magic_storage_object_closest_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- backup\n| |-- data\n| | `-- chunk-000\n| `-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (88 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:99" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 5 + ] + }, + "scene_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 1 + ] + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" + }, "AIRBOT_MMK2_take_down_umbrella_and_mineral_water": { "path": "AIRBOT_MMK2_take_down_umbrella_and_mineral_water", "dataset_name": "take_down_umbrella_and_mineral_water", @@ -40569,6 +50496,572 @@ "data_schema": "Cobot_Magic_the_plate_holds_the_fruit_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_front_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "Cobot_Magic_the_plate_holds_the_fruit_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_front_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, + "Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "office & workspace", + "level2": "office", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "home_storage", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "deli_water-based_marker", + "level1": "stationery", + "level2": "deli_water-based_marker", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "notebook", + "level1": "stationery", + "level2": "notebook", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "mouse", + "level1": "appliances", + "level2": "mouse", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "mouse_pad", + "level1": "appliances", + "level2": "mouse_pad", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "black_table_cloths", + "level1": "laboratory_supplies", + "level2": "black_table_cloths", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "the left gripper organize the pen on the notebook then the right gripper organize the mouse on the mouse pad." + ], + "sub_tasks": [ + { + "subtask": "Right gripper", + "subtask_index": 0 + }, + { + "subtask": "Pick up the mouse with right gripper", + "subtask_index": 1 + }, + { + "subtask": "Pick up the marker pen with right gripper", + "subtask_index": 2 + }, + { + "subtask": "Pick up the mouse with left gripper", + "subtask_index": 3 + }, + { + "subtask": "End", + "subtask_index": 4 + }, + { + "subtask": "Place the marker pen on the notebook with right gripper", + "subtask_index": 5 + }, + { + "subtask": "Place the mouse on the mouse pad with left gripper", + "subtask_index": 6 + }, + { + "subtask": "Place the marker pen on the notebook with left gripper", + "subtask_index": 7 + }, + { + "subtask": "Left gripper", + "subtask_index": 8 + }, + { + "subtask": "Pick up the marker pen with left gripper", + "subtask_index": 9 + }, + { + "subtask": "Place the mouse on the mouse pad with right gripper", + "subtask_index": 10 + }, + { + "subtask": "null", + "subtask_index": 11 + } + ], + "atomic_actions": [ + "grasp", + "lift", + "lower" + ], + "robot_name": [ + "Agilex_Cobot_Magic" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 30, + "total_frames": 20668, + "fps": 30, + "total_tasks": 12, + "total_videos": 90, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 26, + "action_dim": 26, + "camera_views": 3, + "dataset_size": "513.70 MB" + }, + "frame_num": 20668, + "dataset_size": "513.70 MB", + "data_structure": "Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (18 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:29" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 26 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 5 + ] + }, + "scene_annotation": { + "names": null, + "dtype": "int32", + "shape": [ + 1 + ] + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "dtype": "float32", + "shape": [ + 12 + ] + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "dtype": "int32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "dtype": "float32", + "shape": [ + 2 + ] + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" + }, "G1edu-u3_put_the_lemon_on_the_plate_ah": { "path": "G1edu-u3_put_the_lemon_on_the_plate_ah", "dataset_name": "put_the_lemon_on_the_plate_ah", @@ -44440,19 +54933,45 @@ "structure": "R1_Lite_tidy_up_toiletries_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" }, "Airbot_MMK2_move_block_gold_bar_models": { - "path": "Airbot_MMK2_move_block_gold_bar_models", - "dataset_name": "Airbot_MMK2_move_block_gold_bar_models", - "robot_type": "", - "end_effector_type": [ - "five_finger_gripper" + "task_categories": [ + "robotics" ], - "scene_type": [], - "atomic_actions": [ - "grasp", - "pick", - "place" + "language": [ + "en" ], - "tasks": "Place the gold bar on the glasses case with the right gripper", + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Airbot_MMK2_move_block_gold_bar_models", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "living_room", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", "objects": [ { "object_name": "eyeglass_case", @@ -44471,73 +54990,450 @@ "level5": null } ], - "operation_platform_height": 77.2, - "frame_range": "0-10703", - "dataset_size": "433.7MB", + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "place the glasses case in the middle of the table with your left hand and put the toy gold bar on the glasses case with your right hand." + ], + "sub_tasks": [ + { + "subtask": "Place the gold bar on the glasses case with the right gripper", + "subtask_index": 0 + }, + { + "subtask": "Grasp the glasses case with the left gripper", + "subtask_index": 1 + }, + { + "subtask": "Abnormal", + "subtask_index": 2 + }, + { + "subtask": "Static", + "subtask_index": 3 + }, + { + "subtask": "Place the glasses case on the middle of the table with the left gripper", + "subtask_index": 4 + }, + { + "subtask": "End", + "subtask_index": 5 + }, + { + "subtask": "Grasp the gold bar the right gripper", + "subtask_index": 6 + }, + { + "subtask": "null", + "subtask_index": 7 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Airbot_MMK2" + ], + "end_effector_type": "five_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb", + "cam_front_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_front_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "end_rotation_dim", + "end_translation_dim": "end_translation_dim", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], "statistics": { "total_episodes": 50, "total_frames": 10703, - "total_tasks": 1, + "fps": 30, + "total_tasks": 8, "total_videos": 200, "total_chunks": 1, "chunks_size": 1000, - "fps": 30 - }, - "dataset_uuid": "8f0091c0-69e1-4ca0-80f9-a7ae390d4a9f", - "language": [ - "en", - "zh" - ], - "task_categories": [ - "robotics" - ], - "sub_tasks": [ - "Place the gold bar on the glasses case with the right gripper", - "Grasp the glasses case with the left gripper", - "Abnormal", - "Static", - "Place the glasses case on the middle of the table with the left gripper", - "End", - "Grasp the gold bar the right 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" + "state_dim": 36, + "action_dim": 36, + "camera_views": 4, + "dataset_size": "434.03 MB" + }, + "frame_num": 10703, + "dataset_size": "434.03 MB", + "data_structure": "Airbot_MMK2_move_block_gold_bar_models_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb", + "splits": { + "train": "0:49" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_front_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 36 + ], + "names": [ + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "left_hand_joint_1_rad", + "left_hand_joint_2_rad", + "left_hand_joint_3_rad", + "left_hand_joint_4_rad", + "left_hand_joint_5_rad", + "left_hand_joint_6_rad", + "left_hand_joint_7_rad", + "left_hand_joint_8_rad", + "left_hand_joint_9_rad", + "left_hand_joint_10_rad", + "left_hand_joint_11_rad", + "left_hand_joint_12_rad", + "right_hand_joint_1_rad", + "right_hand_joint_2_rad", + "right_hand_joint_3_rad", + "right_hand_joint_4_rad", + "right_hand_joint_5_rad", + "right_hand_joint_6_rad", + "right_hand_joint_7_rad", + "right_hand_joint_8_rad", + "right_hand_joint_9_rad", + "right_hand_joint_10_rad", + "right_hand_joint_11_rad", + "right_hand_joint_12_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } }, "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" + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" } ] }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", "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_move_block_gold_bar_models_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", - "structure": "Airbot_MMK2_move_block_gold_bar_models_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" }, "AIRBOT_MMK2_place_cookies_and_beer": { "path": "AIRBOT_MMK2_place_cookies_and_beer", @@ -54456,5 +65352,523 @@ "depth_enabled": false, "data_schema": "R1_Lite_clean_the_floor_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)", "structure": "R1_Lite_clean_the_floor_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)" + }, + "Realman_RMC-AIDA-L_storage_peach_drawer": { + "task_categories": [ + "robotics" + ], + "language": [ + "en" + ], + "tags": [ + "RoboCOIN", + "LeRobot" + ], + "license": "apache-2.0", + "configs": [ + { + "config_name": "default", + "data_files": "data/chunk-{id}/episode_{id}.parquet" + } + ], + "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.", + "extra_gated_fields": { + "Company/Organization": { + "type": "text", + "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\"" + }, + "Country": { + "type": "country", + "description": "e.g., \"Germany\", \"China\", \"United States\"" + } + }, + "codebase_version": "v2.1", + "dataset_name": "Realman_RMC-AIDA-L_storage_peach_drawer", + "dataset_uuid": "00000000-0000-0000-0000-000000000000", + "scene_type": { + "level1": "household", + "level2": "kitchen", + "level3": null, + "level4": null, + "level5": null + }, + "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.", + "objects": [ + { + "object_name": "table", + "level1": "furniture", + "level2": "table", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "drawer", + "level1": "storage_utensils", + "level2": "drawer", + "level3": null, + "level4": null, + "level5": null + }, + { + "object_name": "peach", + "level1": "fruit", + "level2": "peach", + "level3": null, + "level4": null, + "level5": null + } + ], + "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.", + "task_instruction": [ + "the right gripper grasp the peach on the table and place it into the drawer, the left gripper close the drawer." + ], + "sub_tasks": [ + { + "subtask": "Close the drawer with the left gripper", + "subtask_index": 0 + }, + { + "subtask": "Place the peach into the top drawer with the right gripper", + "subtask_index": 1 + }, + { + "subtask": "end", + "subtask_index": 2 + }, + { + "subtask": "Grasp the peach with the right gripper", + "subtask_index": 3 + }, + { + "subtask": "null", + "subtask_index": 4 + } + ], + "atomic_actions": [ + "grasp", + "pick", + "place" + ], + "robot_name": [ + "Realman_RMC-AIDA-L" + ], + "end_effector_type": "two_finger_gripper", + "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.", + "sensor_list": [ + "cam_head_rgb", + "cam_left_wrist_rgb", + "cam_right_wrist_rgb" + ], + "came_info": { + "cam_head_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_left_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p", + "cam_right_wrist_rgb": "dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p" + }, + "depth_enabled": false, + "coordinate_definition": "right-hand-frame", + "joint_rotation_dim": "radian", + "end_rotation_dim": "radian", + "end_translation_dim": "meter", + "annotations": [ + "eef_acc_mag_annotation.jsonl", + "eef_direction_annotation.jsonl", + "eef_velocity_annotation.jsonl", + "gripper_activity_annotation.jsonl", + "gripper_mode_annotation.jsonl", + "scene_annotations.jsonl", + "subtask_annotations.jsonl" + ], + "statistics": { + "total_episodes": 120, + "total_frames": 46600, + "fps": 30, + "total_tasks": 5, + "total_videos": 360, + "total_chunks": 1, + "chunks_size": 1000, + "state_dim": 28, + "action_dim": 28, + "camera_views": 3, + "dataset_size": "596.03 MB" + }, + "frame_num": 46600, + "dataset_size": "596.03 MB", + "data_structure": "Realman_RMC-AIDA-L_storage_peach_drawer_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (108 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md", + "splits": { + "train": "0:119" + }, + "features": { + "observation.images.cam_head_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_left_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.images.cam_right_wrist_rgb": { + "dtype": "video", + "shape": [ + 480, + 640, + 3 + ], + "names": [ + "height", + "width", + "channels" + ], + "info": { + "video.height": 480, + "video.width": 640, + "video.codec": "av1", + "video.pix_fmt": "yuv420p", + "video.is_depth_map": false, + "video.fps": 30, + "video.channels": 3, + "has_audio": false + } + }, + "observation.state": { + "dtype": "float32", + "shape": [ + 28 + ], + "names": [ + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_arm_joint_7_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad", + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_arm_joint_7_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad" + ] + }, + "action": { + "dtype": "float32", + "shape": [ + 28 + ], + "names": [ + "right_arm_joint_1_rad", + "right_arm_joint_2_rad", + "right_arm_joint_3_rad", + "right_arm_joint_4_rad", + "right_arm_joint_5_rad", + "right_arm_joint_6_rad", + "right_arm_joint_7_rad", + "right_gripper_open", + "right_eef_pos_x_m", + "right_eef_pos_y_m", + "right_eef_pos_z_m", + "right_eef_rot_euler_x_rad", + "right_eef_rot_euler_y_rad", + "right_eef_rot_euler_z_rad", + "left_arm_joint_1_rad", + "left_arm_joint_2_rad", + "left_arm_joint_3_rad", + "left_arm_joint_4_rad", + "left_arm_joint_5_rad", + "left_arm_joint_6_rad", + "left_arm_joint_7_rad", + "left_gripper_open", + "left_eef_pos_x_m", + "left_eef_pos_y_m", + "left_eef_pos_z_m", + "left_eef_rot_euler_x_rad", + "left_eef_rot_euler_y_rad", + "left_eef_rot_euler_z_rad" + ] + }, + "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 + }, + "subtask_annotation": { + "names": null, + "shape": [ + 5 + ], + "dtype": "int32" + }, + "scene_annotation": { + "names": null, + "shape": [ + 1 + ], + "dtype": "int32" + }, + "eef_sim_pose_state": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_sim_pose_action": { + "names": [ + "left_eef_pos_x", + "left_eef_pos_y", + "left_eef_pos_z", + "left_eef_rot_x", + "left_eef_rot_y", + "left_eef_rot_z", + "right_eef_pos_x", + "right_eef_pos_y", + "right_eef_pos_z", + "right_eef_rot_x", + "right_eef_rot_y", + "right_eef_rot_z" + ], + "shape": [ + 12 + ], + "dtype": "float32" + }, + "eef_direction_state": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_direction_action": { + "names": [ + "left_eef_direction", + "right_eef_direction" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_state": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_velocity_action": { + "names": [ + "left_eef_velocity", + "right_eef_velocity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_state": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "eef_acc_mag_action": { + "names": [ + "left_eef_acc_mag", + "right_eef_acc_mag" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_open_scale_state": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "shape": [ + 2 + ], + "dtype": "float32" + }, + "gripper_open_scale_action": { + "names": [ + "left_gripper_open_scale", + "right_gripper_open_scale" + ], + "shape": [ + 2 + ], + "dtype": "float32" + }, + "gripper_mode_state": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_mode_action": { + "names": [ + "left_gripper_mode", + "right_gripper_mode" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_state": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + }, + "gripper_activity_action": { + "names": [ + "left_gripper_activity", + "right_gripper_activity" + ], + "shape": [ + 2 + ], + "dtype": "int32" + } + }, + "authors": { + "contributed_by": [ + { + "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)" + } + ] + }, + "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.", + "homepage": "https://flagopen.github.io/RoboCOIN/", + "paper": "https://arxiv.org/abs/2511.17441", + "repository": "https://github.com/FlagOpen/RoboCOIN", + "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.", + "support_info": "For technical support, please open an issue on our GitHub repository.", + "license_details": "apache-2.0", + "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 }\n", + "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n", + "version_info": "Initial Release", + "data_path": "data/chunk-{id}/episode_{id}.parquet", + "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}", + "video_url": "videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4" } } \ No newline at end of file diff --git a/info/data_index.json b/info/data_index.json index 90b05c7809c7d05018b9fad903e1a49633c05868..5c48620b9ed34b32ca361f6d74d432227314e83e 100644 --- a/info/data_index.json +++ b/info/data_index.json @@ -102,6 +102,13 @@ "AgiBot-g1_storage_item_d", "AgiBot-g1_storage_item_e", "AgiBot-g1_tool_storage", + "Agilex_Cobot_Magic_close_drawer_bottom", + "Agilex_Cobot_Magic_close_drawer_upper", + "Agilex_Cobot_Magic_erase_board_left_side", + "Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth", + "Agilex_Cobot_Magic_open_drawer_bottom", + "Agilex_Cobot_Magic_storage_bread_basket", + "Agilex_Cobot_Magic_storage_object_closest", "Airbot_MMK2_move_block_gold_bar_models", "Airbot_MMK2_move_book_front", "Airbot_MMK2_move_book_right_side", @@ -114,23 +121,32 @@ "Airbot_MMK2_pass_paper_box", "Airbot_MMK2_pour_BBs", "Airbot_MMK2_push_toy_car", + "Airbot_MMK2_slide_tape_onto_can", + "Airbot_MMK2_stack_cubic_block", "Airbot_MMK2_storage_bottle_part", "Airbot_MMK2_storage_bowl_wet_wipes", "Airbot_MMK2_storage_braised_pork_belly_shrimp", + "Airbot_MMK2_storage_cake_ice_cream", "Airbot_MMK2_storage_cookie_toy_car", "Airbot_MMK2_storage_cup", "Airbot_MMK2_storage_cup_rubik_s_cube", + "Airbot_MMK2_storage_diamond_ring", "Airbot_MMK2_storage_egg_bowl", "Airbot_MMK2_storage_egg_plate", "Airbot_MMK2_storage_electronics_yellow_baket", "Airbot_MMK2_storage_peach_pear", + "Airbot_MMK2_storage_shark_doll", + "Airbot_MMK2_storage_tape_measure_umbrella", "Airbot_MMK2_storage_tools", "Airbot_MMK2_storage_tumbler_umbrella", "Airbot_MMK2_swap_bottle_wet_wipes_plate", "Airbot_MMK2_swap_sponge_paper_box_plate", + "Airbot_MMK2_take_bowl_sponge", "Airbot_MMK2_take_cup", + "Airbot_MMK2_take_dog_doll", "Airbot_MMK2_take_drink", "Airbot_MMK2_take_electronics", + "Airbot_MMK2_take_part_both_hands", "Airbot_MMK2_take_toy_car", "Cobot_Magic_box_storage_chopsticks", "Cobot_Magic_cap_the_pen_a", @@ -242,6 +258,8 @@ "G1edu-u3_put_the_water_bottle_on_the_table_d", "G1edu-u3_stack_bowls", "G1edu-u3_tray_storage_lemon_a", + "Galaxea_R1_Lite_pour_solid", + "Galaxea_R1_Lite_storage_object_yellow_basket", "Galbot_g1_fold_clothe_b", "Galbot_g1_fold_clothe_c", "Galbot_g1_fold_clothe_e", @@ -354,6 +372,8 @@ "RMC-AIDA-L_stack_baskets", "RMC-AIDA-L_stir_coffee", "RMC-AIDA-L_storage_bin_storage", + "Realman_RMC-AIDA-L_storage_peach_drawer", + "Realman_RMC-AIDA-L_storage_towel_basket", "Split_aloha_basket_storage_banana", "Split_aloha_basket_storage_bread", "Split_aloha_basket_storage_egg_yolk_pastry", @@ -433,5 +453,5 @@ "leju_robot_pass_the_cleaner_d", "leju_robot_pass_the_cleaner_e" ], - "count": 432 + "count": 452 } \ No newline at end of file diff --git a/info/exclude.json b/info/exclude.json index 6e9de264038f0ff8b59e596ce68b1957da372cc0..b647b40ec9e9185e435c29bdb36c04c29967cbc6 100644 --- a/info/exclude.json +++ b/info/exclude.json @@ -1,54 +1,12 @@ [ - "AIRBOT_MMK2_beauty_sponge_and_cake_to_place", - "AIRBOT_MMK2_building_block_storage", - "AgiBot-g1_battery_storage_c", - "AgiBot-g1_box_storage_part_a", - "AgiBot-g1_box_storage_tool", - "AgiBot-g1_mobile_accessory_storage_box_d", - "AgiBot-g1_picks_up_parts_b", - "Cobot_Magic_classification_of_fruits_and_vegetables_a", - "Cobot_Magic_desktop_organization", - "Cobot_Magic_drawer_storage_mineral_water", - "Cobot_Magic_food_packaging", - "Cobot_Magic_make_hamburger", - "Cobot_Magic_move_the_ball_and_the_cube_block", - "Cobot_Magic_open_the_shoebox", - "Cobot_Magic_pour_water_a", - "Cobot_Magic_vase_storage_flower", - "G1edu-u3_bowl_storage_grape_singletry", - "G1edu-u3_food_storage", - "G1edu-u3_plate_storage_doll", - "G1edu-u3_pullBowl_storage_bread_b", - "Galbot_g1_fold_clothe_b", - "Galbot_g1_fold_clothe_c", - "Galbot_g1_fold_clothe_e", - "Galbot_g1_steamer_storage_baozi_a", - "Galbot_g1_steamer_storage_baozi_b", - "Galbot_g1_steamer_storage_baozi_c", - "Galbot_g1_steamer_storage_baozi_d", - "Galbot_g1_steamer_storage_baozi_e", - "Galbot_g1_steamer_storage_baozi_f", - "Galbot_g1_steamer_storage_baozi_g", - "Galbot_g1_steamer_storage_baozi_h", - "Galbot_g1_steamer_storage_baozi_i", - "Galbot_g1_steamer_storage_baozi_j", - "R1_Lite_cook_a_meal", - "R1_Lite_drawer_storage_hair_dryer", - "R1_Lite_move_the_position_of_the_coffee_capsule", - "R1_Lite_move_the_position_of_the_soda", - "R1_Lite_open_and_close_microwave_oven", - "R1_Lite_pick_up_and_store_items", - "R1_Lite_put_slippers_into_floor_standing_shoe_cabinet", - "R1_Lite_take_clothes_out_of_the_washing_machine", - "R1_Lite_throw_out_the_trash", - "RMC-AIDA-L_box_up_down", - "RMC-AIDA-L_fold_shirt", - "Split_aloha_fold_the_pants", - "Split_aloha_pour_tea", - "Tianqin_A2_place_the_paper_box", - "leju_robot_box_storage_parcel_f", - "leju_robot_hotel_services_ah", - "leju_robot_moving_parts_o", - "leju_robot_moving_parts_s", - "leju_robot_moving_parts_t" + "AIRBOT_MMK2_place_the_sponge_and_wet_wipes", + "AIRBOT_MMK2_the_cup_is_placed_in_the_book", + "Cobot_Magic_plate_storage_toy", + "Cobot_Magic_take_down_the_cube_block", + "leju_robot_box_storage_parcel_d", + "leju_robot_box_storage_parcel_j", + "leju_robot_box_storage_parcel_i", + "leju_robot_box_storage_parcel_k", + "leju_robot_box_storage_parcel_l", + "G1edu-u3_basket_storage_apple_b" ] diff --git a/info/robot_aliases.json b/info/robot_aliases.json index 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