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Upload dataset Agilex_Cobot_Magic_classify_objects_six
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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_classify_objects_six
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: home_storage
level2: table
level3: null
level4: null
level5: null
- object_name: brown_basket
level1: home_storage
level2: brown_basket
level3: null
level4: null
level5: null
- object_name: black_basket
level1: food
level2: black_basket
level3: null
level4: null
level5: null
- object_name: bread
level1: food
level2: bread
level3: null
level4: null
level5: null
- object_name: orange
level1: food
level2: orange
level3: null
level4: null
level5: null
- object_name: green_lemon
level1: food
level2: green_lemon
level3: null
level4: null
level5: null
- object_name: pink_clear_plastic_cup
level1: kitchen_supplies
level2: pink_clear_plastic_cup
level3: null
level4: null
level5: null
- object_name: laundry_detergent
level1: daily_necessities
level2: laundry_detergent
level3: null
level4: null
level5: null
- object_name: mentholatum_facial_cleanser
level1: daily_necessities
level2: Mmentholatum_facial_cleanser
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 multiple objects separately in different baskets.
sub_tasks:
- subtask: Place the orange in the light basket with left gripper
subtask_index: 0
- subtask: Grasp the xx with the right gripper
subtask_index: 1
- subtask: Pick up the facial cleanser with left gripper
subtask_index: 2
- subtask: End
subtask_index: 3
- subtask: Place the facial cleanser in the dark basket with left gripper
subtask_index: 4
- subtask: Place the XX into the basket on the left with the right gripper
subtask_index: 5
- subtask: Place the lime in the light basket with right gripper
subtask_index: 6
- subtask: Place the laundry detergent in the dark basket with right gripper
subtask_index: 7
- subtask: Place the orange in the light basket with right gripper
subtask_index: 8
- subtask: Pick up the lime with left gripper
subtask_index: 9
- subtask: Place the XX into the basket on the right with the left gripper
subtask_index: 10
- subtask: Place the XX into the basket on the left with the left gripper
subtask_index: 11
- subtask: Place the XX into the basket on the right with the right gripper
subtask_index: 12
- subtask: Grasp the xx with the left gripper
subtask_index: 13
- subtask: Pick up the orange with left gripper
subtask_index: 14
- subtask: Place the bread in the light basket with right gripper
subtask_index: 15
- subtask: Pick up the laundry detergent with right gripper
subtask_index: 16
- subtask: Abnormal
subtask_index: 17
- subtask: Pick up the laundry detergent with left gripper
subtask_index: 18
- subtask: Pick up the facial cleanser with right gripper
subtask_index: 19
- subtask: Pick up the lime with right gripper
subtask_index: 20
- subtask: Pick up the bread with right gripper
subtask_index: 21
- subtask: Place the brown cup in the dark basket with left gripper
subtask_index: 22
- subtask: Place the laundry detergent in the dark basket with left gripper
subtask_index: 23
- subtask: Pick up the orange with right gripper
subtask_index: 24
- subtask: Place the lime in the light basket with left gripper
subtask_index: 25
- subtask: Pick up the brown cup with left gripper
subtask_index: 26
- subtask: 'null'
subtask_index: 27
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: 199
total_frames: 302506
fps: 30
total_tasks: 28
total_videos: 597
total_chunks: 1
chunks_size: 1000
state_dim: 26
action_dim: 26
camera_views: 3
dataset_size: 3.88 GB
frame_num: 302506
dataset_size: 3.88 GB
data_structure: 'Agilex_Cobot_Magic_classify_objects_six_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
| `-- ... (187 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: 0:198
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