Update RoboCOIN assets

dataset_info/Galbot_G1_clear_table_residue_1.yaml

@@ -0,0 +1,464 @@
+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: Galbot_G1_clear_table_residue_1
+dataset_uuid: ab289a68-5a19-4aac-9ef9-39557cf2aa62
+scene_type:
+  level1: Household
+  level2: Living Room
+  level3: null
+  level4: null
+  level5: null
+env_type: real_world
+objects:
+- id: disposable_takeout_box
+  name: disposable takeout box
+  color: white
+  anchor_policy: static
+- id: takeout_bag
+  name: takeout bag
+  color: none
+  anchor_policy: static
+- id: shrimp
+  name: shrimp
+  color: red
+  anchor_policy: static
+- id: towel
+  name: towel
+  color: brown
+  anchor_policy: static
+- id: table
+  name: table
+  color: brown
+  anchor_policy: static
+task_operation_type: fixed_dual_arm
+task_instruction: Sweep shrimp from table into container with towel, then put container
+  into takeout bag.
+sub_tasks:
+- Sweep shrimp from table into container with towel, then put container into takeout
+  bag.
+atomic_actions:
+- grasp
+- place
+- wipe
+robot_name: Galbot_G1
+end_effector_type: two_finger_end_effector
+tele_type: master_arm
+sensor_list:
+- cam_right_head_rgb
+- cam_left_head_rgb
+- cam_right_wrist_rgb
+- cam_left_wrist_rgb
+came_info:
+  cam_right_head_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_left_head_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_right_wrist_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_left_wrist_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+depth_enabled: false
+coordinate_definition: right-hand-frame
+joint_rotation_dim: radian
+end_rotation_dim: radian
+end_translation_dim: meter
+base_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
+statistics:
+  total_episodes: 84
+  total_frames: 111757
+  fps: 30
+  total_tasks: 1
+  total_videos: 336
+  total_chunks: 1
+  chunks_size: 10000
+  state_dim: 38
+  action_dim: 38
+  camera_views: 4
+  dataset_size: 9.23 GB
+frame_num: 111757
+frame_range: 1M
+dataset_size: 9.23 GB
+data_structure: "Galbot_G1_clear_table_residue_1_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|-- 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|       `-- ...\
+  \ (72 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_left_head_rgb\n        |-- observation.images.cam_left_wrist_rgb\n\
+  \        |-- observation.images.cam_right_head_rgb\n        `-- observation.images.cam_right_wrist_rgb"
+splits:
+  train: 0:83
+features:
+  action:
+    dtype: float32
+    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
+    - 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
+    - torso_joint_1_rad
+    - torso_joint_2_rad
+    - torso_joint_3_rad
+    - torso_joint_4_rad
+    - torso_joint_5_rad
+    - head_joint_1_rad
+    - head_joint_2_rad
+    - chassis_pos_1
+    - chassis_pos_2
+    - chassis_pos_3
+    - chassis_pos_4
+    - chassis_vel_1
+    - chassis_vel_2
+    - chassis_vel_3
+    - chassis_vel_4
+    - base_pos_x_m
+    - base_pos_y_m
+    - base_orient_quat_z
+    - base_orient_quat_w
+    - base_vel_x_m_s
+    - base_vel_y_m_s
+    - base_vel_angular_z_rad_s
+    shape:
+    - 38
+  observation.state:
+    dtype: float32
+    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
+    - 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
+    - torso_joint_1_rad
+    - torso_joint_2_rad
+    - torso_joint_3_rad
+    - torso_joint_4_rad
+    - torso_joint_5_rad
+    - head_joint_1_rad
+    - head_joint_2_rad
+    - chassis_pos_1
+    - chassis_pos_2
+    - chassis_pos_3
+    - chassis_pos_4
+    - chassis_vel_1
+    - chassis_vel_2
+    - chassis_vel_3
+    - chassis_vel_4
+    - base_pos_x_m
+    - base_pos_y_m
+    - base_orient_quat_z
+    - base_orient_quat_w
+    - base_vel_x_m_s
+    - base_vel_y_m_s
+    - base_vel_angular_z_rad_s
+    shape:
+    - 38
+  observation.images.cam_right_head_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_left_head_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_right_wrist_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_left_wrist_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  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
+  gripper_open_scale_state:
+    names:
+    - left_gripper_open_scale
+    - right_gripper_open_scale
+    dtype: float64
+    shape:
+    - 2
+  gripper_open_scale_action:
+    names:
+    - left_gripper_open_scale
+    - right_gripper_open_scale
+    dtype: float64
+    shape:
+    - 2
+  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
+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_right_head_rgb/episode_{id}.mp{id}
+video_url: videos/chunk-000/observation.images.cam_left_head_rgb/episode_000000.mp4

dataset_info/Galbot_G1_load_floor_trash_3.yaml

@@ -0,0 +1,464 @@
+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: Galbot_G1_load_floor_trash_3
+dataset_uuid: 99259d86-88f6-414c-b7d3-f43180c9f5fe
+scene_type:
+  level1: Household
+  level2: Bedroom
+  level3: null
+  level4: null
+  level5: null
+env_type: real_world
+objects:
+- id: trash_can
+  name: trash can
+  color: black
+  anchor_policy: static
+- id: water_bottle
+  name: water bottle
+  color: transparent
+  anchor_policy: static
+- id: paper_box
+  name: paper box
+  color: brown
+  anchor_policy: static
+- id: plastic_bag
+  name: plastic bag
+  color: none
+  anchor_policy: static
+- id: disposable_takeout_box
+  name: disposable takeout box
+  color: red
+  anchor_policy: static
+task_operation_type: mobile_dual_arm
+task_instruction: Pick up the trash bin, then pick up the garbage on the floor and
+  place it into the trash bin.
+sub_tasks:
+- Pick up the trash bin, then pick up the garbage on the floor and place it into the
+  trash bin.
+atomic_actions:
+- move
+- grasp
+- place
+robot_name: Galbot_G1
+end_effector_type: two_finger_end_effector
+tele_type: master_arm
+sensor_list:
+- cam_right_head_rgb
+- cam_left_head_rgb
+- cam_right_wrist_rgb
+- cam_left_wrist_rgb
+came_info:
+  cam_right_head_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_left_head_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_right_wrist_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_left_wrist_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+depth_enabled: false
+coordinate_definition: right-hand-frame
+joint_rotation_dim: radian
+end_rotation_dim: radian
+end_translation_dim: meter
+base_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
+statistics:
+  total_episodes: 588
+  total_frames: 896673
+  fps: 30
+  total_tasks: 1
+  total_videos: 2352
+  total_chunks: 1
+  chunks_size: 10000
+  state_dim: 38
+  action_dim: 38
+  camera_views: 4
+  dataset_size: 37.51 GB
+frame_num: 896673
+frame_range: 1M
+dataset_size: 37.51 GB
+data_structure: "Galbot_G1_load_floor_trash_3_qced_hardlink_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|-- 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|       `-- ...\
+  \ (576 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_left_head_rgb\n        |-- observation.images.cam_left_wrist_rgb\n\
+  \        |-- observation.images.cam_right_head_rgb\n        `-- observation.images.cam_right_wrist_rgb"
+splits:
+  train: 0:587
+features:
+  action:
+    dtype: float32
+    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
+    - 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
+    - torso_joint_1_rad
+    - torso_joint_2_rad
+    - torso_joint_3_rad
+    - torso_joint_4_rad
+    - torso_joint_5_rad
+    - head_joint_1_rad
+    - head_joint_2_rad
+    - chassis_pos_1
+    - chassis_pos_2
+    - chassis_pos_3
+    - chassis_pos_4
+    - chassis_vel_1
+    - chassis_vel_2
+    - chassis_vel_3
+    - chassis_vel_4
+    - base_pos_x_m
+    - base_pos_y_m
+    - base_orient_quat_z
+    - base_orient_quat_w
+    - base_vel_x_m_s
+    - base_vel_y_m_s
+    - base_vel_angular_z_rad_s
+    shape:
+    - 38
+  observation.state:
+    dtype: float32
+    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
+    - 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
+    - torso_joint_1_rad
+    - torso_joint_2_rad
+    - torso_joint_3_rad
+    - torso_joint_4_rad
+    - torso_joint_5_rad
+    - head_joint_1_rad
+    - head_joint_2_rad
+    - chassis_pos_1
+    - chassis_pos_2
+    - chassis_pos_3
+    - chassis_pos_4
+    - chassis_vel_1
+    - chassis_vel_2
+    - chassis_vel_3
+    - chassis_vel_4
+    - base_pos_x_m
+    - base_pos_y_m
+    - base_orient_quat_z
+    - base_orient_quat_w
+    - base_vel_x_m_s
+    - base_vel_y_m_s
+    - base_vel_angular_z_rad_s
+    shape:
+    - 38
+  observation.images.cam_right_head_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_left_head_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_right_wrist_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_left_wrist_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  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
+  gripper_open_scale_state:
+    names:
+    - left_gripper_open_scale
+    - right_gripper_open_scale
+    dtype: float64
+    shape:
+    - 2
+  gripper_open_scale_action:
+    names:
+    - left_gripper_open_scale
+    - right_gripper_open_scale
+    dtype: float64
+    shape:
+    - 2
+  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
+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_left_head_rgb/episode_000000.mp4

dataset_info/Galbot_G1_load_floor_trash_5.yaml

@@ -0,0 +1,540 @@
+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: Galbot_G1_load_floor_trash_5
+dataset_uuid: b2512779-dc4d-4124-8436-9a337974913a
+scene_type:
+  level1: Household
+  level2: Bedroom
+  level3: null
+  level4: null
+  level5: null
+env_type: real_world
+objects:
+- id: bottled_beverages
+  name: bottled beverages
+  color: brown
+  anchor_policy: static
+- id: slippers
+  name: Slippers
+  color: white
+  anchor_policy: static
+- id: water_bottle
+  name: water bottle
+  color: transparent
+  anchor_policy: static
+- id: canned_beverages
+  name: canned beverages
+  color: red
+  anchor_policy: static
+- id: plastic_bag
+  name: plastic bag
+  color: transparent
+  anchor_policy: static
+- id: disposable_takeout_box
+  name: disposable takeout box
+  color: brown
+  anchor_policy: static
+- id: medical_mask
+  name: medical mask
+  color: blue
+  anchor_policy: static
+- id: tissue_paper
+  name: tissue paper
+  color: white
+  anchor_policy: static
+- id: floor_mat
+  name: floor mat
+  color: brown
+  anchor_policy: static
+- id: trash_can
+  name: trash can
+  color: black
+  anchor_policy: static
+task_operation_type: mobile_dual_arm
+task_instruction: Pick up the trash bin, then pick up the garbage from the floor and
+  place it into the trash bin.
+sub_tasks:
+- Pick up the trash bin, then pick up the garbage from the floor and place it into
+  the trash bin.
+atomic_actions:
+- move
+- grasp
+- place
+robot_name: Galbot_G1
+end_effector_type: two_finger_end_effector
+tele_type: master_arm
+sensor_list:
+- cam_right_head_rgb
+- cam_left_head_rgb
+- cam_right_wrist_rgb
+- cam_left_wrist_rgb
+came_info:
+  cam_right_head_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_left_head_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_right_wrist_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+  cam_left_wrist_rgb: dtype=video, shape=720x960x3, resolution=960x720, codec=libx264,
+    pix_fmt=yuv420p
+depth_enabled: false
+coordinate_definition: right-hand-frame
+joint_rotation_dim: radian
+end_rotation_dim: radian
+end_translation_dim: meter
+base_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
+statistics:
+  total_episodes: 50
+  total_frames: 237538
+  fps: 30
+  total_tasks: 1
+  total_videos: 200
+  total_chunks: 1
+  chunks_size: 10000
+  state_dim: 38
+  action_dim: 38
+  camera_views: 4
+  dataset_size: 17.10 GB
+frame_num: 237538
+frame_range: 1M
+dataset_size: 17.10 GB
+data_structure: 'Galbot_G1_load_floor_trash_5_qced_hardlink/
+
+  |-- annotations
+
+  |   |-- eef_acc_mag_annotation.jsonl
+
+  |   |-- eef_direction_annotation.jsonl
+
+  |   |-- eef_velocity_annotation.jsonl
+
+  |   |-- gripper_activity_annotation.jsonl
+
+  |   `-- gripper_mode_annotation.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_left_head_rgb
+
+  |       |-- observation.images.cam_left_wrist_rgb
+
+  |       |-- observation.images.cam_right_head_rgb
+
+  |       `-- observation.images.cam_right_wrist_rgb
+
+  |-- info.yaml
+
+  `-- README.md'
+splits:
+  train: 0:49
+features:
+  action:
+    dtype: float32
+    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
+    - 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
+    - torso_joint_1_rad
+    - torso_joint_2_rad
+    - torso_joint_3_rad
+    - torso_joint_4_rad
+    - torso_joint_5_rad
+    - head_joint_1_rad
+    - head_joint_2_rad
+    - chassis_pos_1
+    - chassis_pos_2
+    - chassis_pos_3
+    - chassis_pos_4
+    - chassis_vel_1
+    - chassis_vel_2
+    - chassis_vel_3
+    - chassis_vel_4
+    - base_pos_x_m
+    - base_pos_y_m
+    - base_orient_quat_z
+    - base_orient_quat_w
+    - base_vel_x_m_s
+    - base_vel_y_m_s
+    - base_vel_angular_z_rad_s
+    shape:
+    - 38
+  observation.state:
+    dtype: float32
+    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
+    - 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
+    - torso_joint_1_rad
+    - torso_joint_2_rad
+    - torso_joint_3_rad
+    - torso_joint_4_rad
+    - torso_joint_5_rad
+    - head_joint_1_rad
+    - head_joint_2_rad
+    - chassis_pos_1
+    - chassis_pos_2
+    - chassis_pos_3
+    - chassis_pos_4
+    - chassis_vel_1
+    - chassis_vel_2
+    - chassis_vel_3
+    - chassis_vel_4
+    - base_pos_x_m
+    - base_pos_y_m
+    - base_orient_quat_z
+    - base_orient_quat_w
+    - base_vel_x_m_s
+    - base_vel_y_m_s
+    - base_vel_angular_z_rad_s
+    shape:
+    - 38
+  observation.images.cam_right_head_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_left_head_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_right_wrist_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  observation.images.cam_left_wrist_rgb:
+    dtype: video
+    shape:
+    - 720
+    - 960
+    - 3
+    names:
+    - height
+    - width
+    - channels
+    info:
+      video.fps: 30
+      video.height: 720
+      video.width: 960
+      video.channels: 3
+      video.codec: libx264
+      video.pix_fmt: yuv420p
+      video.is_depth_map: false
+      has_audio: false
+  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
+  gripper_open_scale_state:
+    names:
+    - left_gripper_open_scale
+    - right_gripper_open_scale
+    dtype: float64
+    shape:
+    - 2
+  gripper_open_scale_action:
+    names:
+    - left_gripper_open_scale
+    - right_gripper_open_scale
+    dtype: float64
+    shape:
+    - 2
+  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
+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_left_head_rgb/episode_000000.mp4

doc_assets/news/news.yaml

@@ -2,19 +2,19 @@ meta:
   resource: news
   version: "1.2"
 items:
-  - id: "news-20260706-001"
-    date: "2026-07-06"
+  - id: "news-20260810-001"
+    date: "2026-08-10"
     title:
-      zh: "RoboCOIN 新发布 100 + 数据集，开放下载助力具身智能研究"
-      en: "RoboCOIN Released 100+ New Datasets to Advance Embodied AI Research"
+      zh: "RoboCOIN 新发布 50+ 数据集，开放下载助力具身智能研究"
+      en: "RoboCOIN Releases 50+ New Datasets to Advance Embodied AI Research"
     content:
       zh: |
-        <p>2026 年 6 月成功发布 <strong>100+</strong> 高质量数据集，涵盖多种场景、任务和机器人平台（<strong>Aloha</strong> / <strong>Airbot_MMK2</strong> / <strong>Galaxea</strong> / <strong>Unitree</strong>  / <strong>AI2_Alphabot</strong>  / <strong>Leju_Kuavo</strong>）的操作数据。</p>
-        <p>这些数据集包含多视角视觉观察、机器人状态与动作数据，适用于双臂操作学习、多模态感知与控制等具身智能研究方向。</p>
-        <p>截至今日，累积数据集下载量已突破 <strong>900 万次</strong>，持续为全球具身智能研究提供高质量数据支撑。</p>
+        <p>2026 年 8月成功发布 <strong>50+</strong> 高质量数据集，覆盖多种场景与任务的机器人操作数据。</p>
+        <p>这些数据集包含多视角视觉观测、机器人状态与动作数据，适用于双臂操作学习、多模态感知与控制等具身智能研究方向。</p>
+        <p>截至今日，Hugging Face 与 ModelScope 累计下载量已突破 <strong>3324 万次</strong>，持续为全球具身智能研究提供高质量数据支撑。</p>
       en: |
-        <p>In June 2026, we successfully released <strong>100+</strong> high-quality datasets covering diverse scenarios, tasks, and robot platforms (<strong>Aloha</strong> / <strong>Airbot_MMK2</strong> / <strong>Galaxea</strong> / <strong>Unitree</strong> / <strong>AI2_Alphabot</strong> / <strong>Leju_Kuavo</strong>).</p>
-        <p>These datasets include multi-view visual observations, robot states, and action data, and are suitable for embodied AI research topics such as dual-arm manipulation learning, multimodal perception, and control.</p>
-        <p>As of today, cumulative dataset downloads have exceeded <strong>9 million</strong>, continuously providing high-quality data support for the global embodied AI community.</p>
+        <p>In August 2026, we successfully released <strong>50+</strong> high-quality datasets, covering robot manipulation data across diverse scenarios and tasks.</p>
+        <p>These datasets include multi-view visual observations, robot states, and action data, making them suitable for research areas such as dual-arm manipulation learning, multi-modal perception, and control in embodied AI.</p>
+        <p>As of today, cumulative downloads on Hugging Face and ModelScope have surpassed <strong>33.24 million</strong>, continuously providing high-quality data support for embodied AI research worldwide.</p>
     status: "published"
     committed_by: "RoboCOIN Team"

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-size 13354267
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info/data_index.json

@@ -549,6 +549,7 @@
     "Galbot_G1_bag_table_trash_2",
     "Galbot_G1_clear_sink_1",
     "Galbot_G1_clear_sink_trash_1",
+    "Galbot_G1_clear_table_residue_1",
     "Galbot_G1_clear_table_trash_1",
     "Galbot_G1_clear_table_trash_2",
     "Galbot_G1_clear_table_trash_3",
@@ -572,7 +573,9 @@
     "Galbot_G1_load_floor_trash",
     "Galbot_G1_load_floor_trash_1",
     "Galbot_G1_load_floor_trash_2",
+    "Galbot_G1_load_floor_trash_3",
     "Galbot_G1_load_floor_trash_4",
+    "Galbot_G1_load_floor_trash_5",
     "Galbot_G1_load_floor_trash_6",
     "Galbot_G1_load_floor_trash_7",
     "Galbot_G1_move_stamp",
@@ -806,5 +809,5 @@
     "Unitree_G1edu-u3_stack_bowls",
     "Unitree_G1edu-u3_tray_storage_lemon_a"
   ],
-  "count": 805
+  "count": 808
 }

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