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Update RoboCOIN assets

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Files changed (29) hide show
  1. dataset_info/Airbot_MMK2_storage_cookie_toy_car.yaml +415 -109
  2. dataset_info/Airbot_MMK2_storage_cup.yaml +417 -110
  3. dataset_info/Airbot_MMK2_storage_cup_rubik's_cube.yaml +442 -0
  4. dataset_info/Airbot_MMK2_storage_egg_bowl.yaml +415 -113
  5. dataset_info/Airbot_MMK2_storage_egg_plate.yaml +415 -112
  6. dataset_info/Airbot_MMK2_storage_spoon.yaml +432 -0
  7. dataset_info/Airbot_MMK2_storage_tools.yaml +410 -107
  8. dataset_info/Airbot_MMK2_swap_sponge_paper_box_plate.yaml +417 -114
  9. dataset_info/Airbot_MMK2_take_electronics.yaml +415 -113
  10. info/consolidated_datasets.json +0 -0
  11. info/data_index.json +3 -1
  12. thumbnails/Airbot_MMK2_storage_cookie_toy_car.jpg +2 -2
  13. thumbnails/Airbot_MMK2_storage_cup.jpg +2 -2
  14. thumbnails/Airbot_MMK2_storage_cup_rubik's_cube.jpg +3 -0
  15. thumbnails/Airbot_MMK2_storage_egg_bowl.jpg +2 -2
  16. thumbnails/Airbot_MMK2_storage_egg_plate.jpg +2 -2
  17. thumbnails/Airbot_MMK2_storage_spoon.jpg +3 -0
  18. thumbnails/Airbot_MMK2_storage_tools.jpg +2 -2
  19. thumbnails/Airbot_MMK2_swap_sponge_paper_box_plate.jpg +2 -2
  20. thumbnails/Airbot_MMK2_take_electronics.jpg +2 -2
  21. videos/Airbot_MMK2_storage_cookie_toy_car.mp4 +2 -2
  22. videos/Airbot_MMK2_storage_cup.mp4 +2 -2
  23. videos/Airbot_MMK2_storage_cup_rubik's_cube.mp4 +3 -0
  24. videos/Airbot_MMK2_storage_egg_bowl.mp4 +2 -2
  25. videos/Airbot_MMK2_storage_egg_plate.mp4 +2 -2
  26. videos/Airbot_MMK2_storage_spoon.mp4 +3 -0
  27. videos/Airbot_MMK2_storage_tools.mp4 +2 -2
  28. videos/Airbot_MMK2_swap_sponge_paper_box_plate.mp4 +2 -2
  29. videos/Airbot_MMK2_take_electronics.mp4 +2 -2
dataset_info/Airbot_MMK2_storage_cookie_toy_car.yaml CHANGED
@@ -1,14 +1,35 @@
1
- path: Airbot_MMK2_storage_cookie_toy_car
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_storage_cookie_toy_car
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Lift the toy car with left gripper and lift the cookies with the right gripper
12
  objects:
13
  - object_name: table
14
  level1: furniture
@@ -34,113 +55,398 @@ objects:
34
  level3: null
35
  level4: null
36
  level5: null
37
- operation_platform_height: 77.2
38
- frame_range: 0-8388
39
- dataset_size: 277.6MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
40
  statistics:
41
  total_episodes: 50
42
  total_frames: 8388
43
- total_tasks: 1
 
44
  total_videos: 200
45
  total_chunks: 1
46
  chunks_size: 1000
47
- fps: 30
48
- dataset_uuid: cd07af68-cd83-4eaa-9ad1-c0b0926ab380
49
- language:
50
- - en
51
- - zh
52
- task_categories:
53
- - robotics
54
- sub_tasks:
55
- - Lift the toy car with left gripper and lift the cookies with the right gripper
56
- - Grasp the toy car with left gripper and grasp the cookies with the right gripper
57
- - Place the toy car on the pink plate with the left gripper
58
- - Abnormal
59
- - Place the cookies on the pink plate with the right gripper
60
- - Static
61
- - End
62
- - 'null'
63
- annotations:
64
- subtask_annotation: auto_generated
65
- scene_annotation: auto_generated
66
- eef_direction: auto_generated
67
- eef_velocity: auto_generated
68
- eef_acc_mag: auto_generated
69
- gripper_mode: auto_generated
70
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
71
  authors:
72
  contributed_by:
73
- - name: RoboCOIN
74
- url: https://flagopen.github.io/RoboCOIN/
75
- affiliation: RoboCOIN Team
76
- annotated_by:
77
- - name: RoboCOIN
78
- url: https://flagopen.github.io/RoboCOIN/
79
- affiliation: RoboCOIN Team
80
  homepage: https://flagopen.github.io/RoboCOIN/
81
  paper: https://arxiv.org/abs/2511.17441
82
  repository: https://github.com/FlagOpen/RoboCOIN
83
- license: apache-2.0
84
- tags:
85
- - RoboCOIN
86
- - LeRobot
87
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
88
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
89
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
90
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
91
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
92
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
93
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
94
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
95
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
96
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
97
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
98
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
99
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
100
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
101
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
102
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
103
- \ }"
104
- depth_enabled: false
105
- data_schema: "Airbot_MMK2_storage_cookie_toy_car_qced_hardlink/\n├── annotations/\n\
106
- │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\
107
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
108
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
109
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
110
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
111
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
112
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
113
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
114
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
115
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
116
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
117
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
118
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
119
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
120
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
121
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
122
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
123
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
124
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
125
- \ (...)"
126
- structure: "Airbot_MMK2_storage_cookie_toy_car_qced_hardlink/\n├── annotations/\n\
127
- │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\
128
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
129
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
130
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
131
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
132
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
133
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
134
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
135
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
136
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
137
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
138
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
139
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
140
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
141
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
142
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
143
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
144
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
145
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
146
- \ (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_storage_cookie_toy_car
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: living_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
  objects:
34
  - object_name: table
35
  level1: furniture
 
55
  level3: null
56
  level4: null
57
  level5: null
58
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
59
+ the operation type information.
60
+ task_instruction:
61
+ - pick up the toy car with left hand and put it in the basket, then pick up the cookie
62
+ with right hand and put it in the basket.
63
+ sub_tasks:
64
+ - subtask: Lift the toy car with left gripper and lift the cookies with the right
65
+ gripper
66
+ subtask_index: 0
67
+ - subtask: Grasp the toy car with left gripper and grasp the cookies with the right
68
+ gripper
69
+ subtask_index: 1
70
+ - subtask: Place the toy car on the pink plate with the left gripper
71
+ subtask_index: 2
72
+ - subtask: Abnormal
73
+ subtask_index: 3
74
+ - subtask: Place the cookies on the pink plate with the right gripper
75
+ subtask_index: 4
76
+ - subtask: Static
77
+ subtask_index: 5
78
+ - subtask: End
79
+ subtask_index: 6
80
+ - subtask: 'null'
81
+ subtask_index: 7
82
+ atomic_actions:
83
+ - grasp
84
+ - pick
85
+ - place
86
+ robot_name:
87
+ - Airbot_MMK2
88
+ end_effector_type: five_finger_gripper
89
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
90
+ type information.
91
+ sensor_list:
92
+ - cam_head_rgb
93
+ - cam_left_wrist_rgb
94
+ - cam_right_wrist_rgb
95
+ - cam_front_rgb
96
+ came_info:
97
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
98
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
99
+ pix_fmt=yuv420p
100
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
101
+ pix_fmt=yuv420p
102
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
103
+ depth_enabled: false
104
+ coordinate_definition: right-hand-frame
105
+ joint_rotation_dim: radian
106
+ end_rotation_dim: end_rotation_dim
107
+ end_translation_dim: end_translation_dim
108
+ annotations:
109
+ - eef_acc_mag_annotation.jsonl
110
+ - eef_direction_annotation.jsonl
111
+ - eef_velocity_annotation.jsonl
112
+ - gripper_activity_annotation.jsonl
113
+ - gripper_mode_annotation.jsonl
114
+ - scene_annotations.jsonl
115
+ - subtask_annotations.jsonl
116
  statistics:
117
  total_episodes: 50
118
  total_frames: 8388
119
+ fps: 30
120
+ total_tasks: 8
121
  total_videos: 200
122
  total_chunks: 1
123
  chunks_size: 1000
124
+ state_dim: 36
125
+ action_dim: 36
126
+ camera_views: 4
127
+ dataset_size: 277.71 MB
128
+ frame_num: 8388
129
+ dataset_size: 277.71 MB
130
+ data_structure: "Airbot_MMK2_storage_cookie_toy_car_qced_hardlink/\n|-- annotations\n\
131
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
132
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
133
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
134
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
135
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
136
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
137
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
138
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
139
+ | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\
140
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
141
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
142
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
143
+ \ `-- observation.images.cam_right_wrist_rgb"
144
+ splits:
145
+ train: 0:49
146
+ features:
147
+ observation.images.cam_head_rgb:
148
+ dtype: video
149
+ shape:
150
+ - 480
151
+ - 640
152
+ - 3
153
+ names:
154
+ - height
155
+ - width
156
+ - channels
157
+ info:
158
+ video.height: 480
159
+ video.width: 640
160
+ video.codec: av1
161
+ video.pix_fmt: yuv420p
162
+ video.is_depth_map: false
163
+ video.fps: 30
164
+ video.channels: 3
165
+ has_audio: false
166
+ observation.images.cam_left_wrist_rgb:
167
+ dtype: video
168
+ shape:
169
+ - 480
170
+ - 640
171
+ - 3
172
+ names:
173
+ - height
174
+ - width
175
+ - channels
176
+ info:
177
+ video.height: 480
178
+ video.width: 640
179
+ video.codec: av1
180
+ video.pix_fmt: yuv420p
181
+ video.is_depth_map: false
182
+ video.fps: 30
183
+ video.channels: 3
184
+ has_audio: false
185
+ observation.images.cam_right_wrist_rgb:
186
+ dtype: video
187
+ shape:
188
+ - 480
189
+ - 640
190
+ - 3
191
+ names:
192
+ - height
193
+ - width
194
+ - channels
195
+ info:
196
+ video.height: 480
197
+ video.width: 640
198
+ video.codec: av1
199
+ video.pix_fmt: yuv420p
200
+ video.is_depth_map: false
201
+ video.fps: 30
202
+ video.channels: 3
203
+ has_audio: false
204
+ observation.images.cam_front_rgb:
205
+ dtype: video
206
+ shape:
207
+ - 480
208
+ - 640
209
+ - 3
210
+ names:
211
+ - height
212
+ - width
213
+ - channels
214
+ info:
215
+ video.height: 480
216
+ video.width: 640
217
+ video.codec: av1
218
+ video.pix_fmt: yuv420p
219
+ video.is_depth_map: false
220
+ video.fps: 30
221
+ video.channels: 3
222
+ has_audio: false
223
+ observation.state:
224
+ dtype: float32
225
+ shape:
226
+ - 36
227
+ names:
228
+ - left_arm_joint_1_rad
229
+ - left_arm_joint_2_rad
230
+ - left_arm_joint_3_rad
231
+ - left_arm_joint_4_rad
232
+ - left_arm_joint_5_rad
233
+ - left_arm_joint_6_rad
234
+ - right_arm_joint_1_rad
235
+ - right_arm_joint_2_rad
236
+ - right_arm_joint_3_rad
237
+ - right_arm_joint_4_rad
238
+ - right_arm_joint_5_rad
239
+ - right_arm_joint_6_rad
240
+ - left_hand_joint_1_rad
241
+ - left_hand_joint_2_rad
242
+ - left_hand_joint_3_rad
243
+ - left_hand_joint_4_rad
244
+ - left_hand_joint_5_rad
245
+ - left_hand_joint_6_rad
246
+ - left_hand_joint_7_rad
247
+ - left_hand_joint_8_rad
248
+ - left_hand_joint_9_rad
249
+ - left_hand_joint_10_rad
250
+ - left_hand_joint_11_rad
251
+ - left_hand_joint_12_rad
252
+ - right_hand_joint_1_rad
253
+ - right_hand_joint_2_rad
254
+ - right_hand_joint_3_rad
255
+ - right_hand_joint_4_rad
256
+ - right_hand_joint_5_rad
257
+ - right_hand_joint_6_rad
258
+ - right_hand_joint_7_rad
259
+ - right_hand_joint_8_rad
260
+ - right_hand_joint_9_rad
261
+ - right_hand_joint_10_rad
262
+ - right_hand_joint_11_rad
263
+ - right_hand_joint_12_rad
264
+ action:
265
+ dtype: float32
266
+ shape:
267
+ - 36
268
+ names:
269
+ - left_arm_joint_1_rad
270
+ - left_arm_joint_2_rad
271
+ - left_arm_joint_3_rad
272
+ - left_arm_joint_4_rad
273
+ - left_arm_joint_5_rad
274
+ - left_arm_joint_6_rad
275
+ - right_arm_joint_1_rad
276
+ - right_arm_joint_2_rad
277
+ - right_arm_joint_3_rad
278
+ - right_arm_joint_4_rad
279
+ - right_arm_joint_5_rad
280
+ - right_arm_joint_6_rad
281
+ - left_hand_joint_1_rad
282
+ - left_hand_joint_2_rad
283
+ - left_hand_joint_3_rad
284
+ - left_hand_joint_4_rad
285
+ - left_hand_joint_5_rad
286
+ - left_hand_joint_6_rad
287
+ - left_hand_joint_7_rad
288
+ - left_hand_joint_8_rad
289
+ - left_hand_joint_9_rad
290
+ - left_hand_joint_10_rad
291
+ - left_hand_joint_11_rad
292
+ - left_hand_joint_12_rad
293
+ - right_hand_joint_1_rad
294
+ - right_hand_joint_2_rad
295
+ - right_hand_joint_3_rad
296
+ - right_hand_joint_4_rad
297
+ - right_hand_joint_5_rad
298
+ - right_hand_joint_6_rad
299
+ - right_hand_joint_7_rad
300
+ - right_hand_joint_8_rad
301
+ - right_hand_joint_9_rad
302
+ - right_hand_joint_10_rad
303
+ - right_hand_joint_11_rad
304
+ - right_hand_joint_12_rad
305
+ timestamp:
306
+ dtype: float32
307
+ shape:
308
+ - 1
309
+ names: null
310
+ frame_index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ episode_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ index:
321
+ dtype: int64
322
+ shape:
323
+ - 1
324
+ names: null
325
+ task_index:
326
+ dtype: int64
327
+ shape:
328
+ - 1
329
+ names: null
330
+ subtask_annotation:
331
+ names: null
332
+ shape:
333
+ - 5
334
+ dtype: int32
335
+ scene_annotation:
336
+ names: null
337
+ shape:
338
+ - 1
339
+ dtype: int32
340
+ eef_sim_pose_state:
341
+ names:
342
+ - left_eef_pos_x
343
+ - left_eef_pos_y
344
+ - left_eef_pos_z
345
+ - left_eef_rot_x
346
+ - left_eef_rot_y
347
+ - left_eef_rot_z
348
+ - right_eef_pos_x
349
+ - right_eef_pos_y
350
+ - right_eef_pos_z
351
+ - right_eef_rot_x
352
+ - right_eef_rot_y
353
+ - right_eef_rot_z
354
+ shape:
355
+ - 12
356
+ dtype: float32
357
+ eef_sim_pose_action:
358
+ names:
359
+ - left_eef_pos_x
360
+ - left_eef_pos_y
361
+ - left_eef_pos_z
362
+ - left_eef_rot_x
363
+ - left_eef_rot_y
364
+ - left_eef_rot_z
365
+ - right_eef_pos_x
366
+ - right_eef_pos_y
367
+ - right_eef_pos_z
368
+ - right_eef_rot_x
369
+ - right_eef_rot_y
370
+ - right_eef_rot_z
371
+ shape:
372
+ - 12
373
+ dtype: float32
374
+ eef_direction_state:
375
+ names:
376
+ - left_eef_direction
377
+ - right_eef_direction
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_direction_action:
382
+ names:
383
+ - left_eef_direction
384
+ - right_eef_direction
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ eef_velocity_state:
389
+ names:
390
+ - left_eef_velocity
391
+ - right_eef_velocity
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_velocity_action:
396
+ names:
397
+ - left_eef_velocity
398
+ - right_eef_velocity
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ eef_acc_mag_state:
403
+ names:
404
+ - left_eef_acc_mag
405
+ - right_eef_acc_mag
406
+ shape:
407
+ - 2
408
+ dtype: int32
409
+ eef_acc_mag_action:
410
+ names:
411
+ - left_eef_acc_mag
412
+ - right_eef_acc_mag
413
+ shape:
414
+ - 2
415
+ dtype: int32
416
  authors:
417
  contributed_by:
418
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
419
+ dataset_description: This dataset uses an extended format based on LeRobot and is
420
+ fully compatible with LeRobot.
 
 
 
 
421
  homepage: https://flagopen.github.io/RoboCOIN/
422
  paper: https://arxiv.org/abs/2511.17441
423
  repository: https://github.com/FlagOpen/RoboCOIN
424
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
425
+ us.
426
+ support_info: For technical support, please open an issue on our GitHub repository.
427
+ license_details: apache-2.0
428
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
429
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
430
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
431
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
432
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
433
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
434
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
435
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
436
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
437
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
438
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
439
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
440
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
441
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
442
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
443
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
444
+ additional_citations: 'If you use this dataset, please also consider citing:
445
+
446
+ LeRobot Framework: https://github.com/huggingface/lerobot
447
+
448
+ '
449
+ version_info: Initial Release
450
+ data_path: data/chunk-{id}/episode_{id}.parquet
451
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
452
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_storage_cup.yaml CHANGED
@@ -1,14 +1,35 @@
1
- path: Airbot_MMK2_storage_cup
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_storage_cup
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: place the cup in the yellow basket use the right gripper
12
  objects:
13
  - object_name: any_cup
14
  level1: cups
@@ -22,114 +43,400 @@ objects:
22
  level3: null
23
  level4: null
24
  level5: null
25
- operation_platform_height: 77.2
26
- frame_range: 0-20190
27
- dataset_size: 802.0MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
  statistics:
29
  total_episodes: 99
30
  total_frames: 20190
31
- total_tasks: 1
 
32
  total_videos: 396
33
  total_chunks: 1
34
  chunks_size: 1000
35
- fps: 30
36
- dataset_uuid: dc43d1ff-f192-4e89-85d8-a8f3705cd872
37
- language:
38
- - en
39
- - zh
40
- task_categories:
41
- - robotics
42
- sub_tasks:
43
- - place the cup in the yellow basket use the right gripper
44
- - Grasp the cup the left gripper
45
- - Lift the cup the right gripper
46
- - place the cup in the basin use the left gripper
47
- - Grasp the cup the right gripper
48
- - place the cup in the yellow basket use the left gripper
49
- - place the cup in the basin use the right gripper
50
- - Static
51
- - Lift the cup the left gripper
52
- - End
53
- - 'null'
54
- annotations:
55
- subtask_annotation: auto_generated
56
- scene_annotation: auto_generated
57
- eef_direction: auto_generated
58
- eef_velocity: auto_generated
59
- eef_acc_mag: auto_generated
60
- gripper_mode: auto_generated
61
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
62
  authors:
63
  contributed_by:
64
- - name: RoboCOIN
65
- url: https://flagopen.github.io/RoboCOIN/
66
- affiliation: RoboCOIN Team
67
- annotated_by:
68
- - name: RoboCOIN
69
- url: https://flagopen.github.io/RoboCOIN/
70
- affiliation: RoboCOIN Team
71
  homepage: https://flagopen.github.io/RoboCOIN/
72
  paper: https://arxiv.org/abs/2511.17441
73
  repository: https://github.com/FlagOpen/RoboCOIN
74
- license: apache-2.0
75
- tags:
76
- - RoboCOIN
77
- - LeRobot
78
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
79
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
80
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
81
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
82
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
83
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
84
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
85
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
86
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
87
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
88
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
89
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
90
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
91
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
92
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
93
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
94
- \ }"
95
- depth_enabled: false
96
- data_schema: "Airbot_MMK2_storage_cup_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n\
97
- │ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n\
98
- │ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n\
99
- │ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n\
100
- │ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ \
101
- \ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n\
102
- ├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n\
103
- │ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n\
104
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
105
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
106
- \ episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n\
107
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
108
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
109
- \ episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n\
110
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
111
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
112
- \ episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n\
113
- \ ├── episode_000000.mp4\n ├── episode_000001.mp4\n \
114
- \ ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├──\
115
- \ episode_000004.mp4\n └── (...)"
116
- structure: "Airbot_MMK2_storage_cup_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n\
117
- │ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n\
118
- │ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n\
119
- │ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n\
120
- │ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ \
121
- \ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n\
122
- ├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n\
123
- │ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n\
124
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
125
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
126
- \ episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n\
127
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
128
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
129
- \ episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n\
130
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
131
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
132
- \ episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n\
133
- \ ├── episode_000000.mp4\n ├── episode_000001.mp4\n \
134
- \ ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├──\
135
- \ episode_000004.mp4\n └── (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_storage_cup
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
  objects:
34
  - object_name: any_cup
35
  level1: cups
 
43
  level3: null
44
  level4: null
45
  level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - put the two cups in the basin.
50
+ sub_tasks:
51
+ - subtask: place the cup in the yellow basket use the right gripper
52
+ subtask_index: 0
53
+ - subtask: Grasp the cup the left gripper
54
+ subtask_index: 1
55
+ - subtask: Lift the cup the right gripper
56
+ subtask_index: 2
57
+ - subtask: place the cup in the basin use the left gripper
58
+ subtask_index: 3
59
+ - subtask: Grasp the cup the right gripper
60
+ subtask_index: 4
61
+ - subtask: place the cup in the yellow basket use the left gripper
62
+ subtask_index: 5
63
+ - subtask: place the cup in the basin use the right gripper
64
+ subtask_index: 6
65
+ - subtask: Static
66
+ subtask_index: 7
67
+ - subtask: Lift the cup the left gripper
68
+ subtask_index: 8
69
+ - subtask: End
70
+ subtask_index: 9
71
+ - subtask: 'null'
72
+ subtask_index: 10
73
+ atomic_actions:
74
+ - grasp
75
+ - pick
76
+ - place
77
+ robot_name:
78
+ - Airbot_MMK2
79
+ end_effector_type: five_finger_gripper
80
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
81
+ type information.
82
+ sensor_list:
83
+ - cam_head_rgb
84
+ - cam_left_wrist_rgb
85
+ - cam_right_wrist_rgb
86
+ - cam_front_rgb
87
+ came_info:
88
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
89
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
90
+ pix_fmt=yuv420p
91
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
92
+ pix_fmt=yuv420p
93
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
94
+ depth_enabled: false
95
+ coordinate_definition: right-hand-frame
96
+ joint_rotation_dim: radian
97
+ end_rotation_dim: end_rotation_dim
98
+ end_translation_dim: end_translation_dim
99
+ annotations:
100
+ - eef_acc_mag_annotation.jsonl
101
+ - eef_direction_annotation.jsonl
102
+ - eef_velocity_annotation.jsonl
103
+ - gripper_activity_annotation.jsonl
104
+ - gripper_mode_annotation.jsonl
105
+ - scene_annotations.jsonl
106
+ - subtask_annotations.jsonl
107
  statistics:
108
  total_episodes: 99
109
  total_frames: 20190
110
+ fps: 30
111
+ total_tasks: 11
112
  total_videos: 396
113
  total_chunks: 1
114
  chunks_size: 1000
115
+ state_dim: 36
116
+ action_dim: 36
117
+ camera_views: 4
118
+ dataset_size: 802.42 MB
119
+ frame_num: 20190
120
+ dataset_size: 802.42 MB
121
+ data_structure: "Airbot_MMK2_storage_cup_qced_hardlink/\n|-- annotations\n| |--\
122
+ \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\
123
+ \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \
124
+ \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\
125
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
126
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
127
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
128
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
129
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
130
+ | `-- ... (87 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
131
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
132
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
133
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
134
+ splits:
135
+ train: 0:98
136
+ features:
137
+ observation.images.cam_head_rgb:
138
+ dtype: video
139
+ shape:
140
+ - 480
141
+ - 640
142
+ - 3
143
+ names:
144
+ - height
145
+ - width
146
+ - channels
147
+ info:
148
+ video.height: 480
149
+ video.width: 640
150
+ video.codec: av1
151
+ video.pix_fmt: yuv420p
152
+ video.is_depth_map: false
153
+ video.fps: 30
154
+ video.channels: 3
155
+ has_audio: false
156
+ observation.images.cam_left_wrist_rgb:
157
+ dtype: video
158
+ shape:
159
+ - 480
160
+ - 640
161
+ - 3
162
+ names:
163
+ - height
164
+ - width
165
+ - channels
166
+ info:
167
+ video.height: 480
168
+ video.width: 640
169
+ video.codec: av1
170
+ video.pix_fmt: yuv420p
171
+ video.is_depth_map: false
172
+ video.fps: 30
173
+ video.channels: 3
174
+ has_audio: false
175
+ observation.images.cam_right_wrist_rgb:
176
+ dtype: video
177
+ shape:
178
+ - 480
179
+ - 640
180
+ - 3
181
+ names:
182
+ - height
183
+ - width
184
+ - channels
185
+ info:
186
+ video.height: 480
187
+ video.width: 640
188
+ video.codec: av1
189
+ video.pix_fmt: yuv420p
190
+ video.is_depth_map: false
191
+ video.fps: 30
192
+ video.channels: 3
193
+ has_audio: false
194
+ observation.images.cam_front_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.state:
214
+ dtype: float32
215
+ shape:
216
+ - 36
217
+ names:
218
+ - left_arm_joint_1_rad
219
+ - left_arm_joint_2_rad
220
+ - left_arm_joint_3_rad
221
+ - left_arm_joint_4_rad
222
+ - left_arm_joint_5_rad
223
+ - left_arm_joint_6_rad
224
+ - right_arm_joint_1_rad
225
+ - right_arm_joint_2_rad
226
+ - right_arm_joint_3_rad
227
+ - right_arm_joint_4_rad
228
+ - right_arm_joint_5_rad
229
+ - right_arm_joint_6_rad
230
+ - left_hand_joint_1_rad
231
+ - left_hand_joint_2_rad
232
+ - left_hand_joint_3_rad
233
+ - left_hand_joint_4_rad
234
+ - left_hand_joint_5_rad
235
+ - left_hand_joint_6_rad
236
+ - left_hand_joint_7_rad
237
+ - left_hand_joint_8_rad
238
+ - left_hand_joint_9_rad
239
+ - left_hand_joint_10_rad
240
+ - left_hand_joint_11_rad
241
+ - left_hand_joint_12_rad
242
+ - right_hand_joint_1_rad
243
+ - right_hand_joint_2_rad
244
+ - right_hand_joint_3_rad
245
+ - right_hand_joint_4_rad
246
+ - right_hand_joint_5_rad
247
+ - right_hand_joint_6_rad
248
+ - right_hand_joint_7_rad
249
+ - right_hand_joint_8_rad
250
+ - right_hand_joint_9_rad
251
+ - right_hand_joint_10_rad
252
+ - right_hand_joint_11_rad
253
+ - right_hand_joint_12_rad
254
+ action:
255
+ dtype: float32
256
+ shape:
257
+ - 36
258
+ names:
259
+ - left_arm_joint_1_rad
260
+ - left_arm_joint_2_rad
261
+ - left_arm_joint_3_rad
262
+ - left_arm_joint_4_rad
263
+ - left_arm_joint_5_rad
264
+ - left_arm_joint_6_rad
265
+ - right_arm_joint_1_rad
266
+ - right_arm_joint_2_rad
267
+ - right_arm_joint_3_rad
268
+ - right_arm_joint_4_rad
269
+ - right_arm_joint_5_rad
270
+ - right_arm_joint_6_rad
271
+ - left_hand_joint_1_rad
272
+ - left_hand_joint_2_rad
273
+ - left_hand_joint_3_rad
274
+ - left_hand_joint_4_rad
275
+ - left_hand_joint_5_rad
276
+ - left_hand_joint_6_rad
277
+ - left_hand_joint_7_rad
278
+ - left_hand_joint_8_rad
279
+ - left_hand_joint_9_rad
280
+ - left_hand_joint_10_rad
281
+ - left_hand_joint_11_rad
282
+ - left_hand_joint_12_rad
283
+ - right_hand_joint_1_rad
284
+ - right_hand_joint_2_rad
285
+ - right_hand_joint_3_rad
286
+ - right_hand_joint_4_rad
287
+ - right_hand_joint_5_rad
288
+ - right_hand_joint_6_rad
289
+ - right_hand_joint_7_rad
290
+ - right_hand_joint_8_rad
291
+ - right_hand_joint_9_rad
292
+ - right_hand_joint_10_rad
293
+ - right_hand_joint_11_rad
294
+ - right_hand_joint_12_rad
295
+ timestamp:
296
+ dtype: float32
297
+ shape:
298
+ - 1
299
+ names: null
300
+ frame_index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ episode_index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ task_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ subtask_annotation:
321
+ names: null
322
+ shape:
323
+ - 5
324
+ dtype: int32
325
+ scene_annotation:
326
+ names: null
327
+ shape:
328
+ - 1
329
+ dtype: int32
330
+ eef_sim_pose_state:
331
+ names:
332
+ - left_eef_pos_x
333
+ - left_eef_pos_y
334
+ - left_eef_pos_z
335
+ - left_eef_rot_x
336
+ - left_eef_rot_y
337
+ - left_eef_rot_z
338
+ - right_eef_pos_x
339
+ - right_eef_pos_y
340
+ - right_eef_pos_z
341
+ - right_eef_rot_x
342
+ - right_eef_rot_y
343
+ - right_eef_rot_z
344
+ shape:
345
+ - 12
346
+ dtype: float32
347
+ eef_sim_pose_action:
348
+ names:
349
+ - left_eef_pos_x
350
+ - left_eef_pos_y
351
+ - left_eef_pos_z
352
+ - left_eef_rot_x
353
+ - left_eef_rot_y
354
+ - left_eef_rot_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_rot_x
359
+ - right_eef_rot_y
360
+ - right_eef_rot_z
361
+ shape:
362
+ - 12
363
+ dtype: float32
364
+ eef_direction_state:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_direction_action:
372
+ names:
373
+ - left_eef_direction
374
+ - right_eef_direction
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_state:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_velocity_action:
386
+ names:
387
+ - left_eef_velocity
388
+ - right_eef_velocity
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_state:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ eef_acc_mag_action:
400
+ names:
401
+ - left_eef_acc_mag
402
+ - right_eef_acc_mag
403
+ shape:
404
+ - 2
405
+ dtype: int32
406
  authors:
407
  contributed_by:
408
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
409
+ dataset_description: This dataset uses an extended format based on LeRobot and is
410
+ fully compatible with LeRobot.
 
 
 
 
411
  homepage: https://flagopen.github.io/RoboCOIN/
412
  paper: https://arxiv.org/abs/2511.17441
413
  repository: https://github.com/FlagOpen/RoboCOIN
414
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
415
+ us.
416
+ support_info: For technical support, please open an issue on our GitHub repository.
417
+ license_details: apache-2.0
418
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
419
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
420
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
421
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
422
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
423
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
424
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
425
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
426
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
427
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
428
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
429
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
430
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
431
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
432
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
433
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
434
+ additional_citations: 'If you use this dataset, please also consider citing:
435
+
436
+ LeRobot Framework: https://github.com/huggingface/lerobot
437
+
438
+ '
439
+ version_info: Initial Release
440
+ data_path: data/chunk-{id}/episode_{id}.parquet
441
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
442
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_storage_cup_rubik's_cube.yaml ADDED
@@ -0,0 +1,442 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Airbot_MMK2_storage_cup_rubik's_cube
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: living_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: plate
35
+ level1: kitchen_supplies
36
+ level2: plate
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: cup
41
+ level1: kitchen_supplies
42
+ level2: cup
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: rubik's_cube
47
+ level1: toys
48
+ level2: rubik's_cube
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
53
+ the operation type information.
54
+ task_instruction:
55
+ - put the rubik's Cube into the plate with right hand and place the cup on top of
56
+ the cube with left hand.
57
+ sub_tasks:
58
+ - subtask: Grasp the paper cup with the left gripper
59
+ subtask_index: 0
60
+ - subtask: Place the paper cup on the magic cube with the left gripper
61
+ subtask_index: 1
62
+ - subtask: Place the magic cube on the plate with the right gripper
63
+ subtask_index: 2
64
+ - subtask: Abnormal
65
+ subtask_index: 3
66
+ - subtask: Grasp the magic cube with the right gripper
67
+ subtask_index: 4
68
+ - subtask: End
69
+ subtask_index: 5
70
+ - subtask: 'null'
71
+ subtask_index: 6
72
+ atomic_actions:
73
+ - grasp
74
+ - pick
75
+ - place
76
+ robot_name:
77
+ - Airbot_MMK2
78
+ end_effector_type: five_finger_gripper
79
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
80
+ type information.
81
+ sensor_list:
82
+ - cam_head_rgb
83
+ - cam_left_wrist_rgb
84
+ - cam_right_wrist_rgb
85
+ - cam_front_rgb
86
+ came_info:
87
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
93
+ depth_enabled: false
94
+ coordinate_definition: right-hand-frame
95
+ joint_rotation_dim: radian
96
+ end_rotation_dim: end_rotation_dim
97
+ end_translation_dim: end_translation_dim
98
+ annotations:
99
+ - eef_acc_mag_annotation.jsonl
100
+ - eef_direction_annotation.jsonl
101
+ - eef_velocity_annotation.jsonl
102
+ - gripper_activity_annotation.jsonl
103
+ - gripper_mode_annotation.jsonl
104
+ - scene_annotations.jsonl
105
+ - subtask_annotations.jsonl
106
+ statistics:
107
+ total_episodes: 47
108
+ total_frames: 13787
109
+ fps: 30
110
+ total_tasks: 7
111
+ total_videos: 188
112
+ total_chunks: 1
113
+ chunks_size: 1000
114
+ state_dim: 36
115
+ action_dim: 36
116
+ camera_views: 4
117
+ dataset_size: 387.14 MB
118
+ frame_num: 13787
119
+ dataset_size: 387.14 MB
120
+ data_structure: "Airbot_MMK2_storage_cup_rubik_s_cube_qced_hardlink/\n|-- annotations\n\
121
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
122
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
123
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
124
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
125
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
126
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
127
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
128
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
129
+ | `-- episode_000011.parquet\n| `-- ... (35 more entries)\n|-- meta\n\
130
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
131
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
132
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
133
+ \ `-- observation.images.cam_right_wrist_rgb"
134
+ splits:
135
+ train: 0:46
136
+ features:
137
+ observation.images.cam_head_rgb:
138
+ dtype: video
139
+ shape:
140
+ - 480
141
+ - 640
142
+ - 3
143
+ names:
144
+ - height
145
+ - width
146
+ - channels
147
+ info:
148
+ video.height: 480
149
+ video.width: 640
150
+ video.codec: av1
151
+ video.pix_fmt: yuv420p
152
+ video.is_depth_map: false
153
+ video.fps: 30
154
+ video.channels: 3
155
+ has_audio: false
156
+ observation.images.cam_left_wrist_rgb:
157
+ dtype: video
158
+ shape:
159
+ - 480
160
+ - 640
161
+ - 3
162
+ names:
163
+ - height
164
+ - width
165
+ - channels
166
+ info:
167
+ video.height: 480
168
+ video.width: 640
169
+ video.codec: av1
170
+ video.pix_fmt: yuv420p
171
+ video.is_depth_map: false
172
+ video.fps: 30
173
+ video.channels: 3
174
+ has_audio: false
175
+ observation.images.cam_right_wrist_rgb:
176
+ dtype: video
177
+ shape:
178
+ - 480
179
+ - 640
180
+ - 3
181
+ names:
182
+ - height
183
+ - width
184
+ - channels
185
+ info:
186
+ video.height: 480
187
+ video.width: 640
188
+ video.codec: av1
189
+ video.pix_fmt: yuv420p
190
+ video.is_depth_map: false
191
+ video.fps: 30
192
+ video.channels: 3
193
+ has_audio: false
194
+ observation.images.cam_front_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.state:
214
+ dtype: float32
215
+ shape:
216
+ - 36
217
+ names:
218
+ - left_arm_joint_1_rad
219
+ - left_arm_joint_2_rad
220
+ - left_arm_joint_3_rad
221
+ - left_arm_joint_4_rad
222
+ - left_arm_joint_5_rad
223
+ - left_arm_joint_6_rad
224
+ - right_arm_joint_1_rad
225
+ - right_arm_joint_2_rad
226
+ - right_arm_joint_3_rad
227
+ - right_arm_joint_4_rad
228
+ - right_arm_joint_5_rad
229
+ - right_arm_joint_6_rad
230
+ - left_hand_joint_1_rad
231
+ - left_hand_joint_2_rad
232
+ - left_hand_joint_3_rad
233
+ - left_hand_joint_4_rad
234
+ - left_hand_joint_5_rad
235
+ - left_hand_joint_6_rad
236
+ - left_hand_joint_7_rad
237
+ - left_hand_joint_8_rad
238
+ - left_hand_joint_9_rad
239
+ - left_hand_joint_10_rad
240
+ - left_hand_joint_11_rad
241
+ - left_hand_joint_12_rad
242
+ - right_hand_joint_1_rad
243
+ - right_hand_joint_2_rad
244
+ - right_hand_joint_3_rad
245
+ - right_hand_joint_4_rad
246
+ - right_hand_joint_5_rad
247
+ - right_hand_joint_6_rad
248
+ - right_hand_joint_7_rad
249
+ - right_hand_joint_8_rad
250
+ - right_hand_joint_9_rad
251
+ - right_hand_joint_10_rad
252
+ - right_hand_joint_11_rad
253
+ - right_hand_joint_12_rad
254
+ action:
255
+ dtype: float32
256
+ shape:
257
+ - 36
258
+ names:
259
+ - left_arm_joint_1_rad
260
+ - left_arm_joint_2_rad
261
+ - left_arm_joint_3_rad
262
+ - left_arm_joint_4_rad
263
+ - left_arm_joint_5_rad
264
+ - left_arm_joint_6_rad
265
+ - right_arm_joint_1_rad
266
+ - right_arm_joint_2_rad
267
+ - right_arm_joint_3_rad
268
+ - right_arm_joint_4_rad
269
+ - right_arm_joint_5_rad
270
+ - right_arm_joint_6_rad
271
+ - left_hand_joint_1_rad
272
+ - left_hand_joint_2_rad
273
+ - left_hand_joint_3_rad
274
+ - left_hand_joint_4_rad
275
+ - left_hand_joint_5_rad
276
+ - left_hand_joint_6_rad
277
+ - left_hand_joint_7_rad
278
+ - left_hand_joint_8_rad
279
+ - left_hand_joint_9_rad
280
+ - left_hand_joint_10_rad
281
+ - left_hand_joint_11_rad
282
+ - left_hand_joint_12_rad
283
+ - right_hand_joint_1_rad
284
+ - right_hand_joint_2_rad
285
+ - right_hand_joint_3_rad
286
+ - right_hand_joint_4_rad
287
+ - right_hand_joint_5_rad
288
+ - right_hand_joint_6_rad
289
+ - right_hand_joint_7_rad
290
+ - right_hand_joint_8_rad
291
+ - right_hand_joint_9_rad
292
+ - right_hand_joint_10_rad
293
+ - right_hand_joint_11_rad
294
+ - right_hand_joint_12_rad
295
+ timestamp:
296
+ dtype: float32
297
+ shape:
298
+ - 1
299
+ names: null
300
+ frame_index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ episode_index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ task_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ subtask_annotation:
321
+ names: null
322
+ shape:
323
+ - 5
324
+ dtype: int32
325
+ scene_annotation:
326
+ names: null
327
+ shape:
328
+ - 1
329
+ dtype: int32
330
+ eef_sim_pose_state:
331
+ names:
332
+ - left_eef_pos_x
333
+ - left_eef_pos_y
334
+ - left_eef_pos_z
335
+ - left_eef_rot_x
336
+ - left_eef_rot_y
337
+ - left_eef_rot_z
338
+ - right_eef_pos_x
339
+ - right_eef_pos_y
340
+ - right_eef_pos_z
341
+ - right_eef_rot_x
342
+ - right_eef_rot_y
343
+ - right_eef_rot_z
344
+ shape:
345
+ - 12
346
+ dtype: float32
347
+ eef_sim_pose_action:
348
+ names:
349
+ - left_eef_pos_x
350
+ - left_eef_pos_y
351
+ - left_eef_pos_z
352
+ - left_eef_rot_x
353
+ - left_eef_rot_y
354
+ - left_eef_rot_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_rot_x
359
+ - right_eef_rot_y
360
+ - right_eef_rot_z
361
+ shape:
362
+ - 12
363
+ dtype: float32
364
+ eef_direction_state:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_direction_action:
372
+ names:
373
+ - left_eef_direction
374
+ - right_eef_direction
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_state:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_velocity_action:
386
+ names:
387
+ - left_eef_velocity
388
+ - right_eef_velocity
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_state:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ eef_acc_mag_action:
400
+ names:
401
+ - left_eef_acc_mag
402
+ - right_eef_acc_mag
403
+ shape:
404
+ - 2
405
+ dtype: int32
406
+ authors:
407
+ contributed_by:
408
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
409
+ dataset_description: This dataset uses an extended format based on LeRobot and is
410
+ fully compatible with LeRobot.
411
+ homepage: https://flagopen.github.io/RoboCOIN/
412
+ paper: https://arxiv.org/abs/2511.17441
413
+ repository: https://github.com/FlagOpen/RoboCOIN
414
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
415
+ us.
416
+ support_info: For technical support, please open an issue on our GitHub repository.
417
+ license_details: apache-2.0
418
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
419
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
420
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
421
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
422
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
423
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
424
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
425
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
426
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
427
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
428
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
429
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
430
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
431
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
432
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
433
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
434
+ additional_citations: 'If you use this dataset, please also consider citing:
435
+
436
+ LeRobot Framework: https://github.com/huggingface/lerobot
437
+
438
+ '
439
+ version_info: Initial Release
440
+ data_path: data/chunk-{id}/episode_{id}.parquet
441
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
442
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_egg_bowl.yaml CHANGED
@@ -1,133 +1,435 @@
1
- path: Airbot_MMK2_storage_egg_bowl
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_storage_egg_bowl
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Grasp the egg with the left gripper
12
- objects:
13
- - object_name: bowl
14
- level1: bowl
15
- level2: bowl
16
  level3: null
17
  level4: null
18
  level5: null
 
 
 
19
  - object_name: egg
20
  level1: food
21
- level2: eggs
22
  level3: null
23
  level4: null
24
  level5: null
25
- operation_platform_height: 77.2
26
- frame_range: 0-11572
27
- dataset_size: 444.5MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
  statistics:
29
  total_episodes: 50
30
  total_frames: 11572
31
- total_tasks: 1
 
32
  total_videos: 200
33
  total_chunks: 1
34
  chunks_size: 1000
35
- fps: 30
36
- dataset_uuid: 63bd0ac6-e8da-4877-a892-0fcdd1abf2f2
37
- language:
38
- - en
39
- - zh
40
- task_categories:
41
- - robotics
42
- sub_tasks:
43
- - Grasp the egg with the left gripper
44
- - Place the egg into bowl with the right gripper
45
- - Abnormal
46
- - Place the egg into bowl with the left gripper
47
- - End
48
- - Grasp the egg with the right gripper
49
- - 'null'
50
- annotations:
51
- subtask_annotation: auto_generated
52
- scene_annotation: auto_generated
53
- eef_direction: auto_generated
54
- eef_velocity: auto_generated
55
- eef_acc_mag: auto_generated
56
- gripper_mode: auto_generated
57
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
58
  authors:
59
  contributed_by:
60
- - name: RoboCOIN
61
- url: https://flagopen.github.io/RoboCOIN/
62
- affiliation: RoboCOIN Team
63
- annotated_by:
64
- - name: RoboCOIN
65
- url: https://flagopen.github.io/RoboCOIN/
66
- affiliation: RoboCOIN Team
67
  homepage: https://flagopen.github.io/RoboCOIN/
68
  paper: https://arxiv.org/abs/2511.17441
69
  repository: https://github.com/FlagOpen/RoboCOIN
70
- license: apache-2.0
71
- tags:
72
- - RoboCOIN
73
- - LeRobot
74
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
75
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
76
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
77
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
78
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
79
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
80
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
81
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
82
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
83
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
84
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
85
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
86
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
87
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
88
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
89
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
90
- \ }"
91
- depth_enabled: false
92
- data_schema: "Airbot_MMK2_storage_egg_bowl_qced_hardlink/\n├── annotations/\n│ ├──\
93
- \ eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├──\
94
- \ eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ \
95
- \ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
96
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
97
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
98
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
99
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
100
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
101
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
102
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
103
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
104
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
105
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
106
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
107
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
108
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
109
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
110
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
111
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
112
- \ (...)"
113
- structure: "Airbot_MMK2_storage_egg_bowl_qced_hardlink/\n├── annotations/\n│ ├──\
114
- \ eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├──\
115
- \ eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ \
116
- \ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
117
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
118
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
119
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
120
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
121
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
122
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
123
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
124
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
125
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
126
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
127
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
128
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
129
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
130
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
131
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
132
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
133
- \ (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_storage_egg_bowl
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
 
 
 
 
 
 
 
 
 
28
  level3: null
29
  level4: null
30
  level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
  - object_name: egg
35
  level1: food
36
+ level2: egg
37
  level3: null
38
  level4: null
39
  level5: null
40
+ - object_name: bowl
41
+ level1: kitchen_supplies
42
+ level2: plastic_bowls
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - use hands to pick the egg on the table and place them into the bowl.
50
+ sub_tasks:
51
+ - subtask: Grasp the egg with the left gripper
52
+ subtask_index: 0
53
+ - subtask: Place the egg into bowl with the right gripper
54
+ subtask_index: 1
55
+ - subtask: Abnormal
56
+ subtask_index: 2
57
+ - subtask: Place the egg into bowl with the left gripper
58
+ subtask_index: 3
59
+ - subtask: End
60
+ subtask_index: 4
61
+ - subtask: Grasp the egg with the right gripper
62
+ subtask_index: 5
63
+ - subtask: 'null'
64
+ subtask_index: 6
65
+ atomic_actions:
66
+ - grasp
67
+ - pick
68
+ - place
69
+ robot_name:
70
+ - Airbot_MMK2
71
+ end_effector_type: five_finger_gripper
72
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
73
+ type information.
74
+ sensor_list:
75
+ - cam_head_rgb
76
+ - cam_left_wrist_rgb
77
+ - cam_right_wrist_rgb
78
+ - cam_front_rgb
79
+ came_info:
80
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
81
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
84
+ pix_fmt=yuv420p
85
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
86
+ depth_enabled: false
87
+ coordinate_definition: right-hand-frame
88
+ joint_rotation_dim: radian
89
+ end_rotation_dim: end_rotation_dim
90
+ end_translation_dim: end_translation_dim
91
+ annotations:
92
+ - eef_acc_mag_annotation.jsonl
93
+ - eef_direction_annotation.jsonl
94
+ - eef_velocity_annotation.jsonl
95
+ - gripper_activity_annotation.jsonl
96
+ - gripper_mode_annotation.jsonl
97
+ - scene_annotations.jsonl
98
+ - subtask_annotations.jsonl
99
  statistics:
100
  total_episodes: 50
101
  total_frames: 11572
102
+ fps: 30
103
+ total_tasks: 7
104
  total_videos: 200
105
  total_chunks: 1
106
  chunks_size: 1000
107
+ state_dim: 36
108
+ action_dim: 36
109
+ camera_views: 4
110
+ dataset_size: 444.71 MB
111
+ frame_num: 11572
112
+ dataset_size: 444.71 MB
113
+ data_structure: "Airbot_MMK2_storage_egg_bowl_qced_hardlink/\n|-- annotations\n| \
114
+ \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| \
115
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
116
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
117
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
118
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
119
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
120
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
121
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
122
+ | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\
123
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
124
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
125
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
126
+ \ `-- observation.images.cam_right_wrist_rgb"
127
+ splits:
128
+ train: 0:49
129
+ features:
130
+ observation.images.cam_head_rgb:
131
+ dtype: video
132
+ shape:
133
+ - 480
134
+ - 640
135
+ - 3
136
+ names:
137
+ - height
138
+ - width
139
+ - channels
140
+ info:
141
+ video.height: 480
142
+ video.width: 640
143
+ video.codec: av1
144
+ video.pix_fmt: yuv420p
145
+ video.is_depth_map: false
146
+ video.fps: 30
147
+ video.channels: 3
148
+ has_audio: false
149
+ observation.images.cam_left_wrist_rgb:
150
+ dtype: video
151
+ shape:
152
+ - 480
153
+ - 640
154
+ - 3
155
+ names:
156
+ - height
157
+ - width
158
+ - channels
159
+ info:
160
+ video.height: 480
161
+ video.width: 640
162
+ video.codec: av1
163
+ video.pix_fmt: yuv420p
164
+ video.is_depth_map: false
165
+ video.fps: 30
166
+ video.channels: 3
167
+ has_audio: false
168
+ observation.images.cam_right_wrist_rgb:
169
+ dtype: video
170
+ shape:
171
+ - 480
172
+ - 640
173
+ - 3
174
+ names:
175
+ - height
176
+ - width
177
+ - channels
178
+ info:
179
+ video.height: 480
180
+ video.width: 640
181
+ video.codec: av1
182
+ video.pix_fmt: yuv420p
183
+ video.is_depth_map: false
184
+ video.fps: 30
185
+ video.channels: 3
186
+ has_audio: false
187
+ observation.images.cam_front_rgb:
188
+ dtype: video
189
+ shape:
190
+ - 480
191
+ - 640
192
+ - 3
193
+ names:
194
+ - height
195
+ - width
196
+ - channels
197
+ info:
198
+ video.height: 480
199
+ video.width: 640
200
+ video.codec: av1
201
+ video.pix_fmt: yuv420p
202
+ video.is_depth_map: false
203
+ video.fps: 30
204
+ video.channels: 3
205
+ has_audio: false
206
+ observation.state:
207
+ dtype: float32
208
+ shape:
209
+ - 36
210
+ names:
211
+ - left_arm_joint_1_rad
212
+ - left_arm_joint_2_rad
213
+ - left_arm_joint_3_rad
214
+ - left_arm_joint_4_rad
215
+ - left_arm_joint_5_rad
216
+ - left_arm_joint_6_rad
217
+ - right_arm_joint_1_rad
218
+ - right_arm_joint_2_rad
219
+ - right_arm_joint_3_rad
220
+ - right_arm_joint_4_rad
221
+ - right_arm_joint_5_rad
222
+ - right_arm_joint_6_rad
223
+ - left_hand_joint_1_rad
224
+ - left_hand_joint_2_rad
225
+ - left_hand_joint_3_rad
226
+ - left_hand_joint_4_rad
227
+ - left_hand_joint_5_rad
228
+ - left_hand_joint_6_rad
229
+ - left_hand_joint_7_rad
230
+ - left_hand_joint_8_rad
231
+ - left_hand_joint_9_rad
232
+ - left_hand_joint_10_rad
233
+ - left_hand_joint_11_rad
234
+ - left_hand_joint_12_rad
235
+ - right_hand_joint_1_rad
236
+ - right_hand_joint_2_rad
237
+ - right_hand_joint_3_rad
238
+ - right_hand_joint_4_rad
239
+ - right_hand_joint_5_rad
240
+ - right_hand_joint_6_rad
241
+ - right_hand_joint_7_rad
242
+ - right_hand_joint_8_rad
243
+ - right_hand_joint_9_rad
244
+ - right_hand_joint_10_rad
245
+ - right_hand_joint_11_rad
246
+ - right_hand_joint_12_rad
247
+ action:
248
+ dtype: float32
249
+ shape:
250
+ - 36
251
+ names:
252
+ - left_arm_joint_1_rad
253
+ - left_arm_joint_2_rad
254
+ - left_arm_joint_3_rad
255
+ - left_arm_joint_4_rad
256
+ - left_arm_joint_5_rad
257
+ - left_arm_joint_6_rad
258
+ - right_arm_joint_1_rad
259
+ - right_arm_joint_2_rad
260
+ - right_arm_joint_3_rad
261
+ - right_arm_joint_4_rad
262
+ - right_arm_joint_5_rad
263
+ - right_arm_joint_6_rad
264
+ - left_hand_joint_1_rad
265
+ - left_hand_joint_2_rad
266
+ - left_hand_joint_3_rad
267
+ - left_hand_joint_4_rad
268
+ - left_hand_joint_5_rad
269
+ - left_hand_joint_6_rad
270
+ - left_hand_joint_7_rad
271
+ - left_hand_joint_8_rad
272
+ - left_hand_joint_9_rad
273
+ - left_hand_joint_10_rad
274
+ - left_hand_joint_11_rad
275
+ - left_hand_joint_12_rad
276
+ - right_hand_joint_1_rad
277
+ - right_hand_joint_2_rad
278
+ - right_hand_joint_3_rad
279
+ - right_hand_joint_4_rad
280
+ - right_hand_joint_5_rad
281
+ - right_hand_joint_6_rad
282
+ - right_hand_joint_7_rad
283
+ - right_hand_joint_8_rad
284
+ - right_hand_joint_9_rad
285
+ - right_hand_joint_10_rad
286
+ - right_hand_joint_11_rad
287
+ - right_hand_joint_12_rad
288
+ timestamp:
289
+ dtype: float32
290
+ shape:
291
+ - 1
292
+ names: null
293
+ frame_index:
294
+ dtype: int64
295
+ shape:
296
+ - 1
297
+ names: null
298
+ episode_index:
299
+ dtype: int64
300
+ shape:
301
+ - 1
302
+ names: null
303
+ index:
304
+ dtype: int64
305
+ shape:
306
+ - 1
307
+ names: null
308
+ task_index:
309
+ dtype: int64
310
+ shape:
311
+ - 1
312
+ names: null
313
+ subtask_annotation:
314
+ names: null
315
+ shape:
316
+ - 5
317
+ dtype: int32
318
+ scene_annotation:
319
+ names: null
320
+ shape:
321
+ - 1
322
+ dtype: int32
323
+ eef_sim_pose_state:
324
+ names:
325
+ - left_eef_pos_x
326
+ - left_eef_pos_y
327
+ - left_eef_pos_z
328
+ - left_eef_rot_x
329
+ - left_eef_rot_y
330
+ - left_eef_rot_z
331
+ - right_eef_pos_x
332
+ - right_eef_pos_y
333
+ - right_eef_pos_z
334
+ - right_eef_rot_x
335
+ - right_eef_rot_y
336
+ - right_eef_rot_z
337
+ shape:
338
+ - 12
339
+ dtype: float32
340
+ eef_sim_pose_action:
341
+ names:
342
+ - left_eef_pos_x
343
+ - left_eef_pos_y
344
+ - left_eef_pos_z
345
+ - left_eef_rot_x
346
+ - left_eef_rot_y
347
+ - left_eef_rot_z
348
+ - right_eef_pos_x
349
+ - right_eef_pos_y
350
+ - right_eef_pos_z
351
+ - right_eef_rot_x
352
+ - right_eef_rot_y
353
+ - right_eef_rot_z
354
+ shape:
355
+ - 12
356
+ dtype: float32
357
+ eef_direction_state:
358
+ names:
359
+ - left_eef_direction
360
+ - right_eef_direction
361
+ shape:
362
+ - 2
363
+ dtype: int32
364
+ eef_direction_action:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_velocity_state:
372
+ names:
373
+ - left_eef_velocity
374
+ - right_eef_velocity
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_action:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_acc_mag_state:
386
+ names:
387
+ - left_eef_acc_mag
388
+ - right_eef_acc_mag
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_action:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
  authors:
400
  contributed_by:
401
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
402
+ dataset_description: This dataset uses an extended format based on LeRobot and is
403
+ fully compatible with LeRobot.
 
 
 
 
404
  homepage: https://flagopen.github.io/RoboCOIN/
405
  paper: https://arxiv.org/abs/2511.17441
406
  repository: https://github.com/FlagOpen/RoboCOIN
407
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
408
+ us.
409
+ support_info: For technical support, please open an issue on our GitHub repository.
410
+ license_details: apache-2.0
411
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
412
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
413
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
414
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
415
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
416
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
417
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
418
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
419
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
420
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
421
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
422
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
423
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
424
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
425
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
426
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
427
+ additional_citations: 'If you use this dataset, please also consider citing:
428
+
429
+ LeRobot Framework: https://github.com/huggingface/lerobot
430
+
431
+ '
432
+ version_info: Initial Release
433
+ data_path: data/chunk-{id}/episode_{id}.parquet
434
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
435
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_storage_egg_plate.yaml CHANGED
@@ -1,134 +1,437 @@
1
- path: Airbot_MMK2_storage_egg_plate
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_storage_egg_plate
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Place the egg into the plate with the right gripper
12
  objects:
13
  - object_name: egg
14
  level1: food
15
- level2: eggs
16
  level3: null
17
  level4: null
18
  level5: null
19
  - object_name: white_small_plate
20
- level1: plates
21
- level2: white_small_plate
22
  level3: null
23
  level4: null
24
  level5: null
25
- operation_platform_height: 77.2
26
- frame_range: 0-7564
27
- dataset_size: 345.3MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
  statistics:
29
  total_episodes: 45
30
  total_frames: 7564
31
- total_tasks: 1
 
32
  total_videos: 180
33
  total_chunks: 1
34
  chunks_size: 1000
35
- fps: 30
36
- dataset_uuid: 74d2c5c6-30c7-4ce7-b000-f1e58a75fc97
37
- language:
38
- - en
39
- - zh
40
- task_categories:
41
- - robotics
42
- sub_tasks:
43
- - Place the egg into the plate with the right gripper
44
- - Grasp the egg with the left gripper
45
- - Place the egg into the plate with the left gripper
46
- - Abnormal
47
- - Place the cake into the plate with the right gripper
48
- - End
49
- - Grasp the egg with the right gripper
50
- - 'null'
51
- annotations:
52
- subtask_annotation: auto_generated
53
- scene_annotation: auto_generated
54
- eef_direction: auto_generated
55
- eef_velocity: auto_generated
56
- eef_acc_mag: auto_generated
57
- gripper_mode: auto_generated
58
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
59
  authors:
60
  contributed_by:
61
- - name: RoboCOIN
62
- url: https://flagopen.github.io/RoboCOIN/
63
- affiliation: RoboCOIN Team
64
- annotated_by:
65
- - name: RoboCOIN
66
- url: https://flagopen.github.io/RoboCOIN/
67
- affiliation: RoboCOIN Team
68
  homepage: https://flagopen.github.io/RoboCOIN/
69
  paper: https://arxiv.org/abs/2511.17441
70
  repository: https://github.com/FlagOpen/RoboCOIN
71
- license: apache-2.0
72
- tags:
73
- - RoboCOIN
74
- - LeRobot
75
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
76
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
77
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
78
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
79
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
80
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
81
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
82
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
83
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
84
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
85
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
86
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
87
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
88
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
89
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
90
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
91
- \ }"
92
- depth_enabled: false
93
- data_schema: "Airbot_MMK2_storage_egg_plate_qced_hardlink/\n├── annotations/\n│ \
94
- \ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ \
95
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
96
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
97
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
98
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
99
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
100
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
101
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
102
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
103
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
104
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
105
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
106
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
107
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
108
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
109
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
110
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
111
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
112
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
113
- \ (...)"
114
- structure: "Airbot_MMK2_storage_egg_plate_qced_hardlink/\n├── annotations/\n│ ├──\
115
- \ eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├──\
116
- \ eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ \
117
- \ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
118
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
119
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
120
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
121
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
122
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
123
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
124
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
125
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
126
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
127
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
128
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
129
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
130
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
131
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
132
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
133
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
134
- \ (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_storage_egg_plate
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
  objects:
34
  - object_name: egg
35
  level1: food
36
+ level2: egg
37
  level3: null
38
  level4: null
39
  level5: null
40
  - object_name: white_small_plate
41
+ level1: kitchen_supplies
42
+ level2: plates
43
  level3: null
44
  level4: null
45
  level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - use hands to pick the egg on the table and place them into the plate.
50
+ sub_tasks:
51
+ - subtask: Place the egg into the plate with the right gripper
52
+ subtask_index: 0
53
+ - subtask: Grasp the egg with the left gripper
54
+ subtask_index: 1
55
+ - subtask: Place the egg into the plate with the left gripper
56
+ subtask_index: 2
57
+ - subtask: Abnormal
58
+ subtask_index: 3
59
+ - subtask: Place the cake into the plate with the right gripper
60
+ subtask_index: 4
61
+ - subtask: End
62
+ subtask_index: 5
63
+ - subtask: Grasp the egg with the right gripper
64
+ subtask_index: 6
65
+ - subtask: 'null'
66
+ subtask_index: 7
67
+ atomic_actions:
68
+ - grasp
69
+ - pick
70
+ - place
71
+ robot_name:
72
+ - Airbot_MMK2
73
+ end_effector_type: five_finger_gripper
74
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
75
+ type information.
76
+ sensor_list:
77
+ - cam_head_rgb
78
+ - cam_left_wrist_rgb
79
+ - cam_right_wrist_rgb
80
+ - cam_front_rgb
81
+ came_info:
82
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
83
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
84
+ pix_fmt=yuv420p
85
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
86
+ pix_fmt=yuv420p
87
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ depth_enabled: false
89
+ coordinate_definition: right-hand-frame
90
+ joint_rotation_dim: radian
91
+ end_rotation_dim: end_rotation_dim
92
+ end_translation_dim: end_translation_dim
93
+ annotations:
94
+ - eef_acc_mag_annotation.jsonl
95
+ - eef_direction_annotation.jsonl
96
+ - eef_velocity_annotation.jsonl
97
+ - gripper_activity_annotation.jsonl
98
+ - gripper_mode_annotation.jsonl
99
+ - scene_annotations.jsonl
100
+ - subtask_annotations.jsonl
101
  statistics:
102
  total_episodes: 45
103
  total_frames: 7564
104
+ fps: 30
105
+ total_tasks: 8
106
  total_videos: 180
107
  total_chunks: 1
108
  chunks_size: 1000
109
+ state_dim: 36
110
+ action_dim: 36
111
+ camera_views: 4
112
+ dataset_size: 345.41 MB
113
+ frame_num: 7564
114
+ dataset_size: 345.41 MB
115
+ data_structure: "Airbot_MMK2_storage_egg_plate_qced_hardlink/\n|-- annotations\n|\
116
+ \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
117
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
118
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
119
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
120
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
121
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
122
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
123
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
124
+ | `-- episode_000011.parquet\n| `-- ... (33 more entries)\n|-- meta\n\
125
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
126
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
127
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
128
+ \ `-- observation.images.cam_right_wrist_rgb"
129
+ splits:
130
+ train: 0:44
131
+ features:
132
+ observation.images.cam_head_rgb:
133
+ dtype: video
134
+ shape:
135
+ - 480
136
+ - 640
137
+ - 3
138
+ names:
139
+ - height
140
+ - width
141
+ - channels
142
+ info:
143
+ video.height: 480
144
+ video.width: 640
145
+ video.codec: av1
146
+ video.pix_fmt: yuv420p
147
+ video.is_depth_map: false
148
+ video.fps: 30
149
+ video.channels: 3
150
+ has_audio: false
151
+ observation.images.cam_left_wrist_rgb:
152
+ dtype: video
153
+ shape:
154
+ - 480
155
+ - 640
156
+ - 3
157
+ names:
158
+ - height
159
+ - width
160
+ - channels
161
+ info:
162
+ video.height: 480
163
+ video.width: 640
164
+ video.codec: av1
165
+ video.pix_fmt: yuv420p
166
+ video.is_depth_map: false
167
+ video.fps: 30
168
+ video.channels: 3
169
+ has_audio: false
170
+ observation.images.cam_right_wrist_rgb:
171
+ dtype: video
172
+ shape:
173
+ - 480
174
+ - 640
175
+ - 3
176
+ names:
177
+ - height
178
+ - width
179
+ - channels
180
+ info:
181
+ video.height: 480
182
+ video.width: 640
183
+ video.codec: av1
184
+ video.pix_fmt: yuv420p
185
+ video.is_depth_map: false
186
+ video.fps: 30
187
+ video.channels: 3
188
+ has_audio: false
189
+ observation.images.cam_front_rgb:
190
+ dtype: video
191
+ shape:
192
+ - 480
193
+ - 640
194
+ - 3
195
+ names:
196
+ - height
197
+ - width
198
+ - channels
199
+ info:
200
+ video.height: 480
201
+ video.width: 640
202
+ video.codec: av1
203
+ video.pix_fmt: yuv420p
204
+ video.is_depth_map: false
205
+ video.fps: 30
206
+ video.channels: 3
207
+ has_audio: false
208
+ observation.state:
209
+ dtype: float32
210
+ shape:
211
+ - 36
212
+ names:
213
+ - left_arm_joint_1_rad
214
+ - left_arm_joint_2_rad
215
+ - left_arm_joint_3_rad
216
+ - left_arm_joint_4_rad
217
+ - left_arm_joint_5_rad
218
+ - left_arm_joint_6_rad
219
+ - right_arm_joint_1_rad
220
+ - right_arm_joint_2_rad
221
+ - right_arm_joint_3_rad
222
+ - right_arm_joint_4_rad
223
+ - right_arm_joint_5_rad
224
+ - right_arm_joint_6_rad
225
+ - left_hand_joint_1_rad
226
+ - left_hand_joint_2_rad
227
+ - left_hand_joint_3_rad
228
+ - left_hand_joint_4_rad
229
+ - left_hand_joint_5_rad
230
+ - left_hand_joint_6_rad
231
+ - left_hand_joint_7_rad
232
+ - left_hand_joint_8_rad
233
+ - left_hand_joint_9_rad
234
+ - left_hand_joint_10_rad
235
+ - left_hand_joint_11_rad
236
+ - left_hand_joint_12_rad
237
+ - right_hand_joint_1_rad
238
+ - right_hand_joint_2_rad
239
+ - right_hand_joint_3_rad
240
+ - right_hand_joint_4_rad
241
+ - right_hand_joint_5_rad
242
+ - right_hand_joint_6_rad
243
+ - right_hand_joint_7_rad
244
+ - right_hand_joint_8_rad
245
+ - right_hand_joint_9_rad
246
+ - right_hand_joint_10_rad
247
+ - right_hand_joint_11_rad
248
+ - right_hand_joint_12_rad
249
+ action:
250
+ dtype: float32
251
+ shape:
252
+ - 36
253
+ names:
254
+ - left_arm_joint_1_rad
255
+ - left_arm_joint_2_rad
256
+ - left_arm_joint_3_rad
257
+ - left_arm_joint_4_rad
258
+ - left_arm_joint_5_rad
259
+ - left_arm_joint_6_rad
260
+ - right_arm_joint_1_rad
261
+ - right_arm_joint_2_rad
262
+ - right_arm_joint_3_rad
263
+ - right_arm_joint_4_rad
264
+ - right_arm_joint_5_rad
265
+ - right_arm_joint_6_rad
266
+ - left_hand_joint_1_rad
267
+ - left_hand_joint_2_rad
268
+ - left_hand_joint_3_rad
269
+ - left_hand_joint_4_rad
270
+ - left_hand_joint_5_rad
271
+ - left_hand_joint_6_rad
272
+ - left_hand_joint_7_rad
273
+ - left_hand_joint_8_rad
274
+ - left_hand_joint_9_rad
275
+ - left_hand_joint_10_rad
276
+ - left_hand_joint_11_rad
277
+ - left_hand_joint_12_rad
278
+ - right_hand_joint_1_rad
279
+ - right_hand_joint_2_rad
280
+ - right_hand_joint_3_rad
281
+ - right_hand_joint_4_rad
282
+ - right_hand_joint_5_rad
283
+ - right_hand_joint_6_rad
284
+ - right_hand_joint_7_rad
285
+ - right_hand_joint_8_rad
286
+ - right_hand_joint_9_rad
287
+ - right_hand_joint_10_rad
288
+ - right_hand_joint_11_rad
289
+ - right_hand_joint_12_rad
290
+ timestamp:
291
+ dtype: float32
292
+ shape:
293
+ - 1
294
+ names: null
295
+ frame_index:
296
+ dtype: int64
297
+ shape:
298
+ - 1
299
+ names: null
300
+ episode_index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ task_index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ subtask_annotation:
316
+ names: null
317
+ shape:
318
+ - 5
319
+ dtype: int32
320
+ scene_annotation:
321
+ names: null
322
+ shape:
323
+ - 1
324
+ dtype: int32
325
+ eef_sim_pose_state:
326
+ names:
327
+ - left_eef_pos_x
328
+ - left_eef_pos_y
329
+ - left_eef_pos_z
330
+ - left_eef_rot_x
331
+ - left_eef_rot_y
332
+ - left_eef_rot_z
333
+ - right_eef_pos_x
334
+ - right_eef_pos_y
335
+ - right_eef_pos_z
336
+ - right_eef_rot_x
337
+ - right_eef_rot_y
338
+ - right_eef_rot_z
339
+ shape:
340
+ - 12
341
+ dtype: float32
342
+ eef_sim_pose_action:
343
+ names:
344
+ - left_eef_pos_x
345
+ - left_eef_pos_y
346
+ - left_eef_pos_z
347
+ - left_eef_rot_x
348
+ - left_eef_rot_y
349
+ - left_eef_rot_z
350
+ - right_eef_pos_x
351
+ - right_eef_pos_y
352
+ - right_eef_pos_z
353
+ - right_eef_rot_x
354
+ - right_eef_rot_y
355
+ - right_eef_rot_z
356
+ shape:
357
+ - 12
358
+ dtype: float32
359
+ eef_direction_state:
360
+ names:
361
+ - left_eef_direction
362
+ - right_eef_direction
363
+ shape:
364
+ - 2
365
+ dtype: int32
366
+ eef_direction_action:
367
+ names:
368
+ - left_eef_direction
369
+ - right_eef_direction
370
+ shape:
371
+ - 2
372
+ dtype: int32
373
+ eef_velocity_state:
374
+ names:
375
+ - left_eef_velocity
376
+ - right_eef_velocity
377
+ shape:
378
+ - 2
379
+ dtype: int32
380
+ eef_velocity_action:
381
+ names:
382
+ - left_eef_velocity
383
+ - right_eef_velocity
384
+ shape:
385
+ - 2
386
+ dtype: int32
387
+ eef_acc_mag_state:
388
+ names:
389
+ - left_eef_acc_mag
390
+ - right_eef_acc_mag
391
+ shape:
392
+ - 2
393
+ dtype: int32
394
+ eef_acc_mag_action:
395
+ names:
396
+ - left_eef_acc_mag
397
+ - right_eef_acc_mag
398
+ shape:
399
+ - 2
400
+ dtype: int32
401
  authors:
402
  contributed_by:
403
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
404
+ dataset_description: This dataset uses an extended format based on LeRobot and is
405
+ fully compatible with LeRobot.
 
 
 
 
406
  homepage: https://flagopen.github.io/RoboCOIN/
407
  paper: https://arxiv.org/abs/2511.17441
408
  repository: https://github.com/FlagOpen/RoboCOIN
409
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
410
+ us.
411
+ support_info: For technical support, please open an issue on our GitHub repository.
412
+ license_details: apache-2.0
413
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
414
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
415
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
416
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
417
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
418
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
419
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
420
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
421
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
422
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
423
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
424
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
425
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
426
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
427
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
428
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
429
+ additional_citations: 'If you use this dataset, please also consider citing:
430
+
431
+ LeRobot Framework: https://github.com/huggingface/lerobot
432
+
433
+ '
434
+ version_info: Initial Release
435
+ data_path: data/chunk-{id}/episode_{id}.parquet
436
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
437
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_storage_spoon.yaml ADDED
@@ -0,0 +1,432 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Airbot_MMK2_storage_spoon
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: spoon
35
+ level1: kitchen_supplies
36
+ level2: spoon
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: basin
41
+ level1: home_storage
42
+ level2: basin
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - pick up the spoons on the table by hand and place them into the basin.
50
+ sub_tasks:
51
+ - subtask: Grasp the spoon with the right gripper
52
+ subtask_index: 0
53
+ - subtask: End
54
+ subtask_index: 1
55
+ - subtask: Grasp the spoon with the left gripper
56
+ subtask_index: 2
57
+ - subtask: Place the spoon into the basin with the right gripper
58
+ subtask_index: 3
59
+ - subtask: Place the spoon into the basin with the left gripper
60
+ subtask_index: 4
61
+ - subtask: 'null'
62
+ subtask_index: 5
63
+ atomic_actions:
64
+ - grasp
65
+ - pick
66
+ - place
67
+ robot_name:
68
+ - Airbot_MMK2
69
+ end_effector_type: five_finger_gripper
70
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
71
+ type information.
72
+ sensor_list:
73
+ - cam_head_rgb
74
+ - cam_left_wrist_rgb
75
+ - cam_right_wrist_rgb
76
+ - cam_front_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
84
+ depth_enabled: false
85
+ coordinate_definition: right-hand-frame
86
+ joint_rotation_dim: radian
87
+ end_rotation_dim: end_rotation_dim
88
+ end_translation_dim: end_translation_dim
89
+ annotations:
90
+ - eef_acc_mag_annotation.jsonl
91
+ - eef_direction_annotation.jsonl
92
+ - eef_velocity_annotation.jsonl
93
+ - gripper_activity_annotation.jsonl
94
+ - gripper_mode_annotation.jsonl
95
+ - scene_annotations.jsonl
96
+ - subtask_annotations.jsonl
97
+ statistics:
98
+ total_episodes: 54
99
+ total_frames: 15550
100
+ fps: 30
101
+ total_tasks: 6
102
+ total_videos: 216
103
+ total_chunks: 1
104
+ chunks_size: 1000
105
+ state_dim: 36
106
+ action_dim: 36
107
+ camera_views: 4
108
+ dataset_size: 509.63 MB
109
+ frame_num: 15550
110
+ dataset_size: 509.63 MB
111
+ data_structure: "Airbot_MMK2_storage_spoon_qced_hardlink/\n|-- annotations\n| |--\
112
+ \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\
113
+ \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \
114
+ \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\
115
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
116
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
117
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
118
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
119
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
120
+ | `-- ... (42 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
121
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
122
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
123
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
124
+ splits:
125
+ train: 0:53
126
+ features:
127
+ observation.images.cam_head_rgb:
128
+ dtype: video
129
+ shape:
130
+ - 480
131
+ - 640
132
+ - 3
133
+ names:
134
+ - height
135
+ - width
136
+ - channels
137
+ info:
138
+ video.height: 480
139
+ video.width: 640
140
+ video.codec: av1
141
+ video.pix_fmt: yuv420p
142
+ video.is_depth_map: false
143
+ video.fps: 30
144
+ video.channels: 3
145
+ has_audio: false
146
+ observation.images.cam_left_wrist_rgb:
147
+ dtype: video
148
+ shape:
149
+ - 480
150
+ - 640
151
+ - 3
152
+ names:
153
+ - height
154
+ - width
155
+ - channels
156
+ info:
157
+ video.height: 480
158
+ video.width: 640
159
+ video.codec: av1
160
+ video.pix_fmt: yuv420p
161
+ video.is_depth_map: false
162
+ video.fps: 30
163
+ video.channels: 3
164
+ has_audio: false
165
+ observation.images.cam_right_wrist_rgb:
166
+ dtype: video
167
+ shape:
168
+ - 480
169
+ - 640
170
+ - 3
171
+ names:
172
+ - height
173
+ - width
174
+ - channels
175
+ info:
176
+ video.height: 480
177
+ video.width: 640
178
+ video.codec: av1
179
+ video.pix_fmt: yuv420p
180
+ video.is_depth_map: false
181
+ video.fps: 30
182
+ video.channels: 3
183
+ has_audio: false
184
+ observation.images.cam_front_rgb:
185
+ dtype: video
186
+ shape:
187
+ - 480
188
+ - 640
189
+ - 3
190
+ names:
191
+ - height
192
+ - width
193
+ - channels
194
+ info:
195
+ video.height: 480
196
+ video.width: 640
197
+ video.codec: av1
198
+ video.pix_fmt: yuv420p
199
+ video.is_depth_map: false
200
+ video.fps: 30
201
+ video.channels: 3
202
+ has_audio: false
203
+ observation.state:
204
+ dtype: float32
205
+ shape:
206
+ - 36
207
+ names:
208
+ - left_arm_joint_1_rad
209
+ - left_arm_joint_2_rad
210
+ - left_arm_joint_3_rad
211
+ - left_arm_joint_4_rad
212
+ - left_arm_joint_5_rad
213
+ - left_arm_joint_6_rad
214
+ - right_arm_joint_1_rad
215
+ - right_arm_joint_2_rad
216
+ - right_arm_joint_3_rad
217
+ - right_arm_joint_4_rad
218
+ - right_arm_joint_5_rad
219
+ - right_arm_joint_6_rad
220
+ - left_hand_joint_1_rad
221
+ - left_hand_joint_2_rad
222
+ - left_hand_joint_3_rad
223
+ - left_hand_joint_4_rad
224
+ - left_hand_joint_5_rad
225
+ - left_hand_joint_6_rad
226
+ - left_hand_joint_7_rad
227
+ - left_hand_joint_8_rad
228
+ - left_hand_joint_9_rad
229
+ - left_hand_joint_10_rad
230
+ - left_hand_joint_11_rad
231
+ - left_hand_joint_12_rad
232
+ - right_hand_joint_1_rad
233
+ - right_hand_joint_2_rad
234
+ - right_hand_joint_3_rad
235
+ - right_hand_joint_4_rad
236
+ - right_hand_joint_5_rad
237
+ - right_hand_joint_6_rad
238
+ - right_hand_joint_7_rad
239
+ - right_hand_joint_8_rad
240
+ - right_hand_joint_9_rad
241
+ - right_hand_joint_10_rad
242
+ - right_hand_joint_11_rad
243
+ - right_hand_joint_12_rad
244
+ action:
245
+ dtype: float32
246
+ shape:
247
+ - 36
248
+ names:
249
+ - left_arm_joint_1_rad
250
+ - left_arm_joint_2_rad
251
+ - left_arm_joint_3_rad
252
+ - left_arm_joint_4_rad
253
+ - left_arm_joint_5_rad
254
+ - left_arm_joint_6_rad
255
+ - right_arm_joint_1_rad
256
+ - right_arm_joint_2_rad
257
+ - right_arm_joint_3_rad
258
+ - right_arm_joint_4_rad
259
+ - right_arm_joint_5_rad
260
+ - right_arm_joint_6_rad
261
+ - left_hand_joint_1_rad
262
+ - left_hand_joint_2_rad
263
+ - left_hand_joint_3_rad
264
+ - left_hand_joint_4_rad
265
+ - left_hand_joint_5_rad
266
+ - left_hand_joint_6_rad
267
+ - left_hand_joint_7_rad
268
+ - left_hand_joint_8_rad
269
+ - left_hand_joint_9_rad
270
+ - left_hand_joint_10_rad
271
+ - left_hand_joint_11_rad
272
+ - left_hand_joint_12_rad
273
+ - right_hand_joint_1_rad
274
+ - right_hand_joint_2_rad
275
+ - right_hand_joint_3_rad
276
+ - right_hand_joint_4_rad
277
+ - right_hand_joint_5_rad
278
+ - right_hand_joint_6_rad
279
+ - right_hand_joint_7_rad
280
+ - right_hand_joint_8_rad
281
+ - right_hand_joint_9_rad
282
+ - right_hand_joint_10_rad
283
+ - right_hand_joint_11_rad
284
+ - right_hand_joint_12_rad
285
+ timestamp:
286
+ dtype: float32
287
+ shape:
288
+ - 1
289
+ names: null
290
+ frame_index:
291
+ dtype: int64
292
+ shape:
293
+ - 1
294
+ names: null
295
+ episode_index:
296
+ dtype: int64
297
+ shape:
298
+ - 1
299
+ names: null
300
+ index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ task_index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ subtask_annotation:
311
+ names: null
312
+ shape:
313
+ - 5
314
+ dtype: int32
315
+ scene_annotation:
316
+ names: null
317
+ shape:
318
+ - 1
319
+ dtype: int32
320
+ eef_sim_pose_state:
321
+ names:
322
+ - left_eef_pos_x
323
+ - left_eef_pos_y
324
+ - left_eef_pos_z
325
+ - left_eef_rot_x
326
+ - left_eef_rot_y
327
+ - left_eef_rot_z
328
+ - right_eef_pos_x
329
+ - right_eef_pos_y
330
+ - right_eef_pos_z
331
+ - right_eef_rot_x
332
+ - right_eef_rot_y
333
+ - right_eef_rot_z
334
+ shape:
335
+ - 12
336
+ dtype: float32
337
+ eef_sim_pose_action:
338
+ names:
339
+ - left_eef_pos_x
340
+ - left_eef_pos_y
341
+ - left_eef_pos_z
342
+ - left_eef_rot_x
343
+ - left_eef_rot_y
344
+ - left_eef_rot_z
345
+ - right_eef_pos_x
346
+ - right_eef_pos_y
347
+ - right_eef_pos_z
348
+ - right_eef_rot_x
349
+ - right_eef_rot_y
350
+ - right_eef_rot_z
351
+ shape:
352
+ - 12
353
+ dtype: float32
354
+ eef_direction_state:
355
+ names:
356
+ - left_eef_direction
357
+ - right_eef_direction
358
+ shape:
359
+ - 2
360
+ dtype: int32
361
+ eef_direction_action:
362
+ names:
363
+ - left_eef_direction
364
+ - right_eef_direction
365
+ shape:
366
+ - 2
367
+ dtype: int32
368
+ eef_velocity_state:
369
+ names:
370
+ - left_eef_velocity
371
+ - right_eef_velocity
372
+ shape:
373
+ - 2
374
+ dtype: int32
375
+ eef_velocity_action:
376
+ names:
377
+ - left_eef_velocity
378
+ - right_eef_velocity
379
+ shape:
380
+ - 2
381
+ dtype: int32
382
+ eef_acc_mag_state:
383
+ names:
384
+ - left_eef_acc_mag
385
+ - right_eef_acc_mag
386
+ shape:
387
+ - 2
388
+ dtype: int32
389
+ eef_acc_mag_action:
390
+ names:
391
+ - left_eef_acc_mag
392
+ - right_eef_acc_mag
393
+ shape:
394
+ - 2
395
+ dtype: int32
396
+ authors:
397
+ contributed_by:
398
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
399
+ dataset_description: This dataset uses an extended format based on LeRobot and is
400
+ fully compatible with LeRobot.
401
+ homepage: https://flagopen.github.io/RoboCOIN/
402
+ paper: https://arxiv.org/abs/2511.17441
403
+ repository: https://github.com/FlagOpen/RoboCOIN
404
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
405
+ us.
406
+ support_info: For technical support, please open an issue on our GitHub repository.
407
+ license_details: apache-2.0
408
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
409
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
410
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
411
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
412
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
413
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
414
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
415
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
416
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
417
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
418
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
419
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
420
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
421
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
422
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
423
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
424
+ additional_citations: 'If you use this dataset, please also consider citing:
425
+
426
+ LeRobot Framework: https://github.com/huggingface/lerobot
427
+
428
+ '
429
+ version_info: Initial Release
430
+ data_path: data/chunk-{id}/episode_{id}.parquet
431
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
432
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_tools.yaml CHANGED
@@ -1,14 +1,35 @@
1
- path: Airbot_MMK2_storage_tools
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_storage_tools
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Place the plier into white basket with the left gripper
12
  objects:
13
  - object_name: utility_knife
14
  level1: kitchen_supplies
@@ -28,111 +49,393 @@ objects:
28
  level3: null
29
  level4: null
30
  level5: null
31
- operation_platform_height: 77.2
32
- frame_range: 0-7910
33
- dataset_size: 221.3MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34
  statistics:
35
  total_episodes: 49
36
  total_frames: 7910
37
- total_tasks: 1
 
38
  total_videos: 196
39
  total_chunks: 1
40
  chunks_size: 1000
41
- fps: 30
42
- dataset_uuid: cd0a7e21-d440-45f4-b396-c9f746fc5dc7
43
- language:
44
- - en
45
- - zh
46
- task_categories:
47
- - robotics
48
- sub_tasks:
49
- - Place the plier into white basket with the left gripper
50
- - Grasp the plier with the left gripper
51
- - Static
52
- - Place the utility knife into white basket with the right gripper
53
- - Grasp the utility knife with the right gripper
54
- - End
55
- - 'null'
56
- annotations:
57
- subtask_annotation: auto_generated
58
- scene_annotation: auto_generated
59
- eef_direction: auto_generated
60
- eef_velocity: auto_generated
61
- eef_acc_mag: auto_generated
62
- gripper_mode: auto_generated
63
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
64
  authors:
65
  contributed_by:
66
- - name: RoboCOIN
67
- url: https://flagopen.github.io/RoboCOIN/
68
- affiliation: RoboCOIN Team
69
- annotated_by:
70
- - name: RoboCOIN
71
- url: https://flagopen.github.io/RoboCOIN/
72
- affiliation: RoboCOIN Team
73
  homepage: https://flagopen.github.io/RoboCOIN/
74
  paper: https://arxiv.org/abs/2511.17441
75
  repository: https://github.com/FlagOpen/RoboCOIN
76
- license: apache-2.0
77
- tags:
78
- - RoboCOIN
79
- - LeRobot
80
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
81
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
82
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
83
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
84
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
85
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
86
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
87
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
88
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
89
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
90
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
91
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
92
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
93
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
94
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
95
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
96
- \ }"
97
- depth_enabled: false
98
- data_schema: "Airbot_MMK2_storage_tools_qced_hardlink/\n├── annotations/\n│ ├──\
99
- \ eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├──\
100
- \ eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ \
101
- \ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
102
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
103
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
104
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
105
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
106
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
107
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
108
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
109
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
110
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
111
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
112
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
113
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
114
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
115
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
116
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
117
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
118
- \ (...)"
119
- structure: "Airbot_MMK2_storage_tools_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n\
120
- │ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n\
121
- │ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n\
122
- │ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n\
123
- │ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ \
124
- \ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n\
125
- ├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n\
126
- │ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.cam_high_rgb/\n\
127
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
128
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
129
- \ episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_left_wrist_rgb/\n\
130
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
131
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
132
- \ episode_000004.mp4\n │ └── (...)\n ├── observation.images.cam_right_wrist_rgb/\n\
133
- \ │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n \
134
- \ │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├──\
135
- \ episode_000004.mp4\n │ └── (...)\n └── observation.images.cam_third_view/\n\
136
- \ ├── episode_000000.mp4\n ├── episode_000001.mp4\n \
137
- \ ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├──\
138
- \ episode_000004.mp4\n └── (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_storage_tools
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: industry
27
+ level2: factory
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
  objects:
34
  - object_name: utility_knife
35
  level1: kitchen_supplies
 
49
  level3: null
50
  level4: null
51
  level5: null
52
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
53
+ the operation type information.
54
+ task_instruction:
55
+ - pick up the plier and the utility knife on the table by hand and place them into
56
+ the white tray.
57
+ sub_tasks:
58
+ - subtask: Place the plier into white basket with the left gripper
59
+ subtask_index: 0
60
+ - subtask: Grasp the plier with the left gripper
61
+ subtask_index: 1
62
+ - subtask: Static
63
+ subtask_index: 2
64
+ - subtask: Place the utility knife into white basket with the right gripper
65
+ subtask_index: 3
66
+ - subtask: Grasp the utility knife with the right gripper
67
+ subtask_index: 4
68
+ - subtask: End
69
+ subtask_index: 5
70
+ - subtask: 'null'
71
+ subtask_index: 6
72
+ atomic_actions:
73
+ - grasp
74
+ - pick
75
+ - place
76
+ robot_name:
77
+ - Airbot_MMK2
78
+ end_effector_type: five_finger_gripper
79
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
80
+ type information.
81
+ sensor_list:
82
+ - cam_head_rgb
83
+ - cam_left_wrist_rgb
84
+ - cam_right_wrist_rgb
85
+ - cam_front_rgb
86
+ came_info:
87
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
93
+ depth_enabled: false
94
+ coordinate_definition: right-hand-frame
95
+ joint_rotation_dim: radian
96
+ end_rotation_dim: end_rotation_dim
97
+ end_translation_dim: end_translation_dim
98
+ annotations:
99
+ - eef_acc_mag_annotation.jsonl
100
+ - eef_direction_annotation.jsonl
101
+ - eef_velocity_annotation.jsonl
102
+ - gripper_activity_annotation.jsonl
103
+ - gripper_mode_annotation.jsonl
104
+ - scene_annotations.jsonl
105
+ - subtask_annotations.jsonl
106
  statistics:
107
  total_episodes: 49
108
  total_frames: 7910
109
+ fps: 30
110
+ total_tasks: 7
111
  total_videos: 196
112
  total_chunks: 1
113
  chunks_size: 1000
114
+ state_dim: 36
115
+ action_dim: 36
116
+ camera_views: 4
117
+ dataset_size: 221.53 MB
118
+ frame_num: 7910
119
+ dataset_size: 221.53 MB
120
+ data_structure: "Airbot_MMK2_storage_tools_qced_hardlink/\n|-- annotations\n| |--\
121
+ \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\
122
+ \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \
123
+ \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\
124
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
125
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
126
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
127
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
128
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
129
+ | `-- ... (37 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
130
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
131
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
132
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
133
+ splits:
134
+ train: 0:48
135
+ features:
136
+ observation.images.cam_head_rgb:
137
+ dtype: video
138
+ shape:
139
+ - 480
140
+ - 640
141
+ - 3
142
+ names:
143
+ - height
144
+ - width
145
+ - channels
146
+ info:
147
+ video.height: 480
148
+ video.width: 640
149
+ video.codec: av1
150
+ video.pix_fmt: yuv420p
151
+ video.is_depth_map: false
152
+ video.fps: 30
153
+ video.channels: 3
154
+ has_audio: false
155
+ observation.images.cam_left_wrist_rgb:
156
+ dtype: video
157
+ shape:
158
+ - 480
159
+ - 640
160
+ - 3
161
+ names:
162
+ - height
163
+ - width
164
+ - channels
165
+ info:
166
+ video.height: 480
167
+ video.width: 640
168
+ video.codec: av1
169
+ video.pix_fmt: yuv420p
170
+ video.is_depth_map: false
171
+ video.fps: 30
172
+ video.channels: 3
173
+ has_audio: false
174
+ observation.images.cam_right_wrist_rgb:
175
+ dtype: video
176
+ shape:
177
+ - 480
178
+ - 640
179
+ - 3
180
+ names:
181
+ - height
182
+ - width
183
+ - channels
184
+ info:
185
+ video.height: 480
186
+ video.width: 640
187
+ video.codec: av1
188
+ video.pix_fmt: yuv420p
189
+ video.is_depth_map: false
190
+ video.fps: 30
191
+ video.channels: 3
192
+ has_audio: false
193
+ observation.images.cam_front_rgb:
194
+ dtype: video
195
+ shape:
196
+ - 480
197
+ - 640
198
+ - 3
199
+ names:
200
+ - height
201
+ - width
202
+ - channels
203
+ info:
204
+ video.height: 480
205
+ video.width: 640
206
+ video.codec: av1
207
+ video.pix_fmt: yuv420p
208
+ video.is_depth_map: false
209
+ video.fps: 30
210
+ video.channels: 3
211
+ has_audio: false
212
+ observation.state:
213
+ dtype: float32
214
+ shape:
215
+ - 36
216
+ names:
217
+ - left_arm_joint_1_rad
218
+ - left_arm_joint_2_rad
219
+ - left_arm_joint_3_rad
220
+ - left_arm_joint_4_rad
221
+ - left_arm_joint_5_rad
222
+ - left_arm_joint_6_rad
223
+ - right_arm_joint_1_rad
224
+ - right_arm_joint_2_rad
225
+ - right_arm_joint_3_rad
226
+ - right_arm_joint_4_rad
227
+ - right_arm_joint_5_rad
228
+ - right_arm_joint_6_rad
229
+ - left_hand_joint_1_rad
230
+ - left_hand_joint_2_rad
231
+ - left_hand_joint_3_rad
232
+ - left_hand_joint_4_rad
233
+ - left_hand_joint_5_rad
234
+ - left_hand_joint_6_rad
235
+ - left_hand_joint_7_rad
236
+ - left_hand_joint_8_rad
237
+ - left_hand_joint_9_rad
238
+ - left_hand_joint_10_rad
239
+ - left_hand_joint_11_rad
240
+ - left_hand_joint_12_rad
241
+ - right_hand_joint_1_rad
242
+ - right_hand_joint_2_rad
243
+ - right_hand_joint_3_rad
244
+ - right_hand_joint_4_rad
245
+ - right_hand_joint_5_rad
246
+ - right_hand_joint_6_rad
247
+ - right_hand_joint_7_rad
248
+ - right_hand_joint_8_rad
249
+ - right_hand_joint_9_rad
250
+ - right_hand_joint_10_rad
251
+ - right_hand_joint_11_rad
252
+ - right_hand_joint_12_rad
253
+ action:
254
+ dtype: float32
255
+ shape:
256
+ - 36
257
+ names:
258
+ - left_arm_joint_1_rad
259
+ - left_arm_joint_2_rad
260
+ - left_arm_joint_3_rad
261
+ - left_arm_joint_4_rad
262
+ - left_arm_joint_5_rad
263
+ - left_arm_joint_6_rad
264
+ - right_arm_joint_1_rad
265
+ - right_arm_joint_2_rad
266
+ - right_arm_joint_3_rad
267
+ - right_arm_joint_4_rad
268
+ - right_arm_joint_5_rad
269
+ - right_arm_joint_6_rad
270
+ - left_hand_joint_1_rad
271
+ - left_hand_joint_2_rad
272
+ - left_hand_joint_3_rad
273
+ - left_hand_joint_4_rad
274
+ - left_hand_joint_5_rad
275
+ - left_hand_joint_6_rad
276
+ - left_hand_joint_7_rad
277
+ - left_hand_joint_8_rad
278
+ - left_hand_joint_9_rad
279
+ - left_hand_joint_10_rad
280
+ - left_hand_joint_11_rad
281
+ - left_hand_joint_12_rad
282
+ - right_hand_joint_1_rad
283
+ - right_hand_joint_2_rad
284
+ - right_hand_joint_3_rad
285
+ - right_hand_joint_4_rad
286
+ - right_hand_joint_5_rad
287
+ - right_hand_joint_6_rad
288
+ - right_hand_joint_7_rad
289
+ - right_hand_joint_8_rad
290
+ - right_hand_joint_9_rad
291
+ - right_hand_joint_10_rad
292
+ - right_hand_joint_11_rad
293
+ - right_hand_joint_12_rad
294
+ timestamp:
295
+ dtype: float32
296
+ shape:
297
+ - 1
298
+ names: null
299
+ frame_index:
300
+ dtype: int64
301
+ shape:
302
+ - 1
303
+ names: null
304
+ episode_index:
305
+ dtype: int64
306
+ shape:
307
+ - 1
308
+ names: null
309
+ index:
310
+ dtype: int64
311
+ shape:
312
+ - 1
313
+ names: null
314
+ task_index:
315
+ dtype: int64
316
+ shape:
317
+ - 1
318
+ names: null
319
+ subtask_annotation:
320
+ names: null
321
+ shape:
322
+ - 5
323
+ dtype: int32
324
+ scene_annotation:
325
+ names: null
326
+ shape:
327
+ - 1
328
+ dtype: int32
329
+ eef_sim_pose_state:
330
+ names:
331
+ - left_eef_pos_x
332
+ - left_eef_pos_y
333
+ - left_eef_pos_z
334
+ - left_eef_rot_x
335
+ - left_eef_rot_y
336
+ - left_eef_rot_z
337
+ - right_eef_pos_x
338
+ - right_eef_pos_y
339
+ - right_eef_pos_z
340
+ - right_eef_rot_x
341
+ - right_eef_rot_y
342
+ - right_eef_rot_z
343
+ shape:
344
+ - 12
345
+ dtype: float32
346
+ eef_sim_pose_action:
347
+ names:
348
+ - left_eef_pos_x
349
+ - left_eef_pos_y
350
+ - left_eef_pos_z
351
+ - left_eef_rot_x
352
+ - left_eef_rot_y
353
+ - left_eef_rot_z
354
+ - right_eef_pos_x
355
+ - right_eef_pos_y
356
+ - right_eef_pos_z
357
+ - right_eef_rot_x
358
+ - right_eef_rot_y
359
+ - right_eef_rot_z
360
+ shape:
361
+ - 12
362
+ dtype: float32
363
+ eef_direction_state:
364
+ names:
365
+ - left_eef_direction
366
+ - right_eef_direction
367
+ shape:
368
+ - 2
369
+ dtype: int32
370
+ eef_direction_action:
371
+ names:
372
+ - left_eef_direction
373
+ - right_eef_direction
374
+ shape:
375
+ - 2
376
+ dtype: int32
377
+ eef_velocity_state:
378
+ names:
379
+ - left_eef_velocity
380
+ - right_eef_velocity
381
+ shape:
382
+ - 2
383
+ dtype: int32
384
+ eef_velocity_action:
385
+ names:
386
+ - left_eef_velocity
387
+ - right_eef_velocity
388
+ shape:
389
+ - 2
390
+ dtype: int32
391
+ eef_acc_mag_state:
392
+ names:
393
+ - left_eef_acc_mag
394
+ - right_eef_acc_mag
395
+ shape:
396
+ - 2
397
+ dtype: int32
398
+ eef_acc_mag_action:
399
+ names:
400
+ - left_eef_acc_mag
401
+ - right_eef_acc_mag
402
+ shape:
403
+ - 2
404
+ dtype: int32
405
  authors:
406
  contributed_by:
407
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
408
+ dataset_description: This dataset uses an extended format based on LeRobot and is
409
+ fully compatible with LeRobot.
 
 
 
 
410
  homepage: https://flagopen.github.io/RoboCOIN/
411
  paper: https://arxiv.org/abs/2511.17441
412
  repository: https://github.com/FlagOpen/RoboCOIN
413
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
414
+ us.
415
+ support_info: For technical support, please open an issue on our GitHub repository.
416
+ license_details: apache-2.0
417
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
418
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
419
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
420
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
421
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
422
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
423
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
424
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
425
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
426
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
427
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
428
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
429
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
430
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
431
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
432
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
433
+ additional_citations: 'If you use this dataset, please also consider citing:
434
+
435
+ LeRobot Framework: https://github.com/huggingface/lerobot
436
+
437
+ '
438
+ version_info: Initial Release
439
+ data_path: data/chunk-{id}/episode_{id}.parquet
440
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
441
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_swap_sponge_paper_box_plate.yaml CHANGED
@@ -1,23 +1,38 @@
1
- path: Airbot_MMK2_swap_sponge_paper_box_plate
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_swap_sponge_paper_box_plate
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Place the sponge on the table with the left gripper
12
- objects:
13
- - object_name: plate
14
- level1: kitchen_supplies
15
- level2: plate
16
  level3: null
17
  level4: null
18
  level5: null
 
 
 
19
  - object_name: paper_boxes
20
- level1: packaging
21
  level2: paper_boxes
22
  level3: null
23
  level4: null
@@ -28,113 +43,401 @@ objects:
28
  level3: null
29
  level4: null
30
  level5: null
31
- operation_platform_height: 77.2
32
- frame_range: 0-8731
33
- dataset_size: 272.1MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34
  statistics:
35
  total_episodes: 50
36
  total_frames: 8731
37
- total_tasks: 1
 
38
  total_videos: 200
39
  total_chunks: 1
40
  chunks_size: 1000
41
- fps: 30
42
- dataset_uuid: 77b2c99f-d75c-4deb-8cbc-b00b48b72d73
43
- language:
44
- - en
45
- - zh
46
- task_categories:
47
- - robotics
48
- sub_tasks:
49
- - Place the sponge on the table with the left gripper
50
- - Grasp the mouse box with the right gripper
51
- - Abnormal
52
- - Static
53
- - Place the mouse box into the plate with the right gripper
54
- - End
55
- - Grasp the sponge in the plate with the left gripper
56
- - 'null'
57
- annotations:
58
- subtask_annotation: auto_generated
59
- scene_annotation: auto_generated
60
- eef_direction: auto_generated
61
- eef_velocity: auto_generated
62
- eef_acc_mag: auto_generated
63
- gripper_mode: auto_generated
64
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
65
  authors:
66
  contributed_by:
67
- - name: RoboCOIN
68
- url: https://flagopen.github.io/RoboCOIN/
69
- affiliation: RoboCOIN Team
70
- annotated_by:
71
- - name: RoboCOIN
72
- url: https://flagopen.github.io/RoboCOIN/
73
- affiliation: RoboCOIN Team
74
  homepage: https://flagopen.github.io/RoboCOIN/
75
  paper: https://arxiv.org/abs/2511.17441
76
  repository: https://github.com/FlagOpen/RoboCOIN
77
- license: apache-2.0
78
- tags:
79
- - RoboCOIN
80
- - LeRobot
81
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
82
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
83
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
84
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
85
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
86
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
87
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
88
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
89
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
90
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
91
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
92
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
93
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
94
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
95
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
96
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
97
- \ }"
98
- depth_enabled: false
99
- data_schema: "Airbot_MMK2_swap_sponge_paper_box_plate_qced_hardlink/\n├── annotations/\n\
100
- │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\
101
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
102
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
103
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
104
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
105
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
106
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
107
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
108
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
109
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
110
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
111
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
112
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
113
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
114
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
115
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
116
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
117
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
118
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
119
- \ (...)"
120
- structure: "Airbot_MMK2_swap_sponge_paper_box_plate_qced_hardlink/\n├── annotations/\n\
121
- │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\
122
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
123
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
124
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
125
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
126
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
127
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
128
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
129
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
130
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
131
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
132
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
133
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
134
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
135
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
136
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
137
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
138
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
139
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
140
- \ (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_swap_sponge_paper_box_plate
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
 
 
 
 
 
 
 
 
 
28
  level3: null
29
  level4: null
30
  level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
  - object_name: paper_boxes
35
+ level1: home_storage
36
  level2: paper_boxes
37
  level3: null
38
  level4: null
 
43
  level3: null
44
  level4: null
45
  level5: null
46
+ - object_name: plate
47
+ level1: kitchen_supplies
48
+ level2: plate
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
53
+ the operation type information.
54
+ task_instruction:
55
+ - take the sponge out of the plate with left hand and put the box in with right hand.
56
+ sub_tasks:
57
+ - subtask: Place the sponge on the table with the left gripper
58
+ subtask_index: 0
59
+ - subtask: Grasp the mouse box with the right gripper
60
+ subtask_index: 1
61
+ - subtask: Abnormal
62
+ subtask_index: 2
63
+ - subtask: Static
64
+ subtask_index: 3
65
+ - subtask: Place the mouse box into the plate with the right gripper
66
+ subtask_index: 4
67
+ - subtask: End
68
+ subtask_index: 5
69
+ - subtask: Grasp the sponge in the plate with the left gripper
70
+ subtask_index: 6
71
+ - subtask: 'null'
72
+ subtask_index: 7
73
+ atomic_actions:
74
+ - grasp
75
+ - pick
76
+ - place
77
+ robot_name:
78
+ - Airbot_MMK2
79
+ end_effector_type: five_finger_gripper
80
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
81
+ type information.
82
+ sensor_list:
83
+ - cam_head_rgb
84
+ - cam_left_wrist_rgb
85
+ - cam_right_wrist_rgb
86
+ - cam_front_rgb
87
+ came_info:
88
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
89
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
90
+ pix_fmt=yuv420p
91
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
92
+ pix_fmt=yuv420p
93
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
94
+ depth_enabled: false
95
+ coordinate_definition: right-hand-frame
96
+ joint_rotation_dim: radian
97
+ end_rotation_dim: end_rotation_dim
98
+ end_translation_dim: end_translation_dim
99
+ annotations:
100
+ - eef_acc_mag_annotation.jsonl
101
+ - eef_direction_annotation.jsonl
102
+ - eef_velocity_annotation.jsonl
103
+ - gripper_activity_annotation.jsonl
104
+ - gripper_mode_annotation.jsonl
105
+ - scene_annotations.jsonl
106
+ - subtask_annotations.jsonl
107
  statistics:
108
  total_episodes: 50
109
  total_frames: 8731
110
+ fps: 30
111
+ total_tasks: 8
112
  total_videos: 200
113
  total_chunks: 1
114
  chunks_size: 1000
115
+ state_dim: 36
116
+ action_dim: 36
117
+ camera_views: 4
118
+ dataset_size: 272.24 MB
119
+ frame_num: 8731
120
+ dataset_size: 272.24 MB
121
+ data_structure: "Airbot_MMK2_swap_sponge_paper_box_plate_qced_hardlink/\n|-- annotations\n\
122
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
123
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
124
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
125
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
126
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
127
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
128
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
129
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
130
+ | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\
131
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
132
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
133
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
134
+ \ `-- observation.images.cam_right_wrist_rgb"
135
+ splits:
136
+ train: 0:49
137
+ features:
138
+ observation.images.cam_head_rgb:
139
+ dtype: video
140
+ shape:
141
+ - 480
142
+ - 640
143
+ - 3
144
+ names:
145
+ - height
146
+ - width
147
+ - channels
148
+ info:
149
+ video.height: 480
150
+ video.width: 640
151
+ video.codec: av1
152
+ video.pix_fmt: yuv420p
153
+ video.is_depth_map: false
154
+ video.fps: 30
155
+ video.channels: 3
156
+ has_audio: false
157
+ observation.images.cam_left_wrist_rgb:
158
+ dtype: video
159
+ shape:
160
+ - 480
161
+ - 640
162
+ - 3
163
+ names:
164
+ - height
165
+ - width
166
+ - channels
167
+ info:
168
+ video.height: 480
169
+ video.width: 640
170
+ video.codec: av1
171
+ video.pix_fmt: yuv420p
172
+ video.is_depth_map: false
173
+ video.fps: 30
174
+ video.channels: 3
175
+ has_audio: false
176
+ observation.images.cam_right_wrist_rgb:
177
+ dtype: video
178
+ shape:
179
+ - 480
180
+ - 640
181
+ - 3
182
+ names:
183
+ - height
184
+ - width
185
+ - channels
186
+ info:
187
+ video.height: 480
188
+ video.width: 640
189
+ video.codec: av1
190
+ video.pix_fmt: yuv420p
191
+ video.is_depth_map: false
192
+ video.fps: 30
193
+ video.channels: 3
194
+ has_audio: false
195
+ observation.images.cam_front_rgb:
196
+ dtype: video
197
+ shape:
198
+ - 480
199
+ - 640
200
+ - 3
201
+ names:
202
+ - height
203
+ - width
204
+ - channels
205
+ info:
206
+ video.height: 480
207
+ video.width: 640
208
+ video.codec: av1
209
+ video.pix_fmt: yuv420p
210
+ video.is_depth_map: false
211
+ video.fps: 30
212
+ video.channels: 3
213
+ has_audio: false
214
+ observation.state:
215
+ dtype: float32
216
+ shape:
217
+ - 36
218
+ names:
219
+ - left_arm_joint_1_rad
220
+ - left_arm_joint_2_rad
221
+ - left_arm_joint_3_rad
222
+ - left_arm_joint_4_rad
223
+ - left_arm_joint_5_rad
224
+ - left_arm_joint_6_rad
225
+ - right_arm_joint_1_rad
226
+ - right_arm_joint_2_rad
227
+ - right_arm_joint_3_rad
228
+ - right_arm_joint_4_rad
229
+ - right_arm_joint_5_rad
230
+ - right_arm_joint_6_rad
231
+ - left_hand_joint_1_rad
232
+ - left_hand_joint_2_rad
233
+ - left_hand_joint_3_rad
234
+ - left_hand_joint_4_rad
235
+ - left_hand_joint_5_rad
236
+ - left_hand_joint_6_rad
237
+ - left_hand_joint_7_rad
238
+ - left_hand_joint_8_rad
239
+ - left_hand_joint_9_rad
240
+ - left_hand_joint_10_rad
241
+ - left_hand_joint_11_rad
242
+ - left_hand_joint_12_rad
243
+ - right_hand_joint_1_rad
244
+ - right_hand_joint_2_rad
245
+ - right_hand_joint_3_rad
246
+ - right_hand_joint_4_rad
247
+ - right_hand_joint_5_rad
248
+ - right_hand_joint_6_rad
249
+ - right_hand_joint_7_rad
250
+ - right_hand_joint_8_rad
251
+ - right_hand_joint_9_rad
252
+ - right_hand_joint_10_rad
253
+ - right_hand_joint_11_rad
254
+ - right_hand_joint_12_rad
255
+ action:
256
+ dtype: float32
257
+ shape:
258
+ - 36
259
+ names:
260
+ - left_arm_joint_1_rad
261
+ - left_arm_joint_2_rad
262
+ - left_arm_joint_3_rad
263
+ - left_arm_joint_4_rad
264
+ - left_arm_joint_5_rad
265
+ - left_arm_joint_6_rad
266
+ - right_arm_joint_1_rad
267
+ - right_arm_joint_2_rad
268
+ - right_arm_joint_3_rad
269
+ - right_arm_joint_4_rad
270
+ - right_arm_joint_5_rad
271
+ - right_arm_joint_6_rad
272
+ - left_hand_joint_1_rad
273
+ - left_hand_joint_2_rad
274
+ - left_hand_joint_3_rad
275
+ - left_hand_joint_4_rad
276
+ - left_hand_joint_5_rad
277
+ - left_hand_joint_6_rad
278
+ - left_hand_joint_7_rad
279
+ - left_hand_joint_8_rad
280
+ - left_hand_joint_9_rad
281
+ - left_hand_joint_10_rad
282
+ - left_hand_joint_11_rad
283
+ - left_hand_joint_12_rad
284
+ - right_hand_joint_1_rad
285
+ - right_hand_joint_2_rad
286
+ - right_hand_joint_3_rad
287
+ - right_hand_joint_4_rad
288
+ - right_hand_joint_5_rad
289
+ - right_hand_joint_6_rad
290
+ - right_hand_joint_7_rad
291
+ - right_hand_joint_8_rad
292
+ - right_hand_joint_9_rad
293
+ - right_hand_joint_10_rad
294
+ - right_hand_joint_11_rad
295
+ - right_hand_joint_12_rad
296
+ timestamp:
297
+ dtype: float32
298
+ shape:
299
+ - 1
300
+ names: null
301
+ frame_index:
302
+ dtype: int64
303
+ shape:
304
+ - 1
305
+ names: null
306
+ episode_index:
307
+ dtype: int64
308
+ shape:
309
+ - 1
310
+ names: null
311
+ index:
312
+ dtype: int64
313
+ shape:
314
+ - 1
315
+ names: null
316
+ task_index:
317
+ dtype: int64
318
+ shape:
319
+ - 1
320
+ names: null
321
+ subtask_annotation:
322
+ names: null
323
+ shape:
324
+ - 5
325
+ dtype: int32
326
+ scene_annotation:
327
+ names: null
328
+ shape:
329
+ - 1
330
+ dtype: int32
331
+ eef_sim_pose_state:
332
+ names:
333
+ - left_eef_pos_x
334
+ - left_eef_pos_y
335
+ - left_eef_pos_z
336
+ - left_eef_rot_x
337
+ - left_eef_rot_y
338
+ - left_eef_rot_z
339
+ - right_eef_pos_x
340
+ - right_eef_pos_y
341
+ - right_eef_pos_z
342
+ - right_eef_rot_x
343
+ - right_eef_rot_y
344
+ - right_eef_rot_z
345
+ shape:
346
+ - 12
347
+ dtype: float32
348
+ eef_sim_pose_action:
349
+ names:
350
+ - left_eef_pos_x
351
+ - left_eef_pos_y
352
+ - left_eef_pos_z
353
+ - left_eef_rot_x
354
+ - left_eef_rot_y
355
+ - left_eef_rot_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_rot_x
360
+ - right_eef_rot_y
361
+ - right_eef_rot_z
362
+ shape:
363
+ - 12
364
+ dtype: float32
365
+ eef_direction_state:
366
+ names:
367
+ - left_eef_direction
368
+ - right_eef_direction
369
+ shape:
370
+ - 2
371
+ dtype: int32
372
+ eef_direction_action:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ shape:
377
+ - 2
378
+ dtype: int32
379
+ eef_velocity_state:
380
+ names:
381
+ - left_eef_velocity
382
+ - right_eef_velocity
383
+ shape:
384
+ - 2
385
+ dtype: int32
386
+ eef_velocity_action:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ shape:
391
+ - 2
392
+ dtype: int32
393
+ eef_acc_mag_state:
394
+ names:
395
+ - left_eef_acc_mag
396
+ - right_eef_acc_mag
397
+ shape:
398
+ - 2
399
+ dtype: int32
400
+ eef_acc_mag_action:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
  authors:
408
  contributed_by:
409
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
410
+ dataset_description: This dataset uses an extended format based on LeRobot and is
411
+ fully compatible with LeRobot.
 
 
 
 
412
  homepage: https://flagopen.github.io/RoboCOIN/
413
  paper: https://arxiv.org/abs/2511.17441
414
  repository: https://github.com/FlagOpen/RoboCOIN
415
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
416
+ us.
417
+ support_info: For technical support, please open an issue on our GitHub repository.
418
+ license_details: apache-2.0
419
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
420
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
421
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
422
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
423
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
424
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
425
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
426
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
427
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
428
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
429
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
430
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
431
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
432
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
433
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
434
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
435
+ additional_citations: 'If you use this dataset, please also consider citing:
436
+
437
+ LeRobot Framework: https://github.com/huggingface/lerobot
438
+
439
+ '
440
+ version_info: Initial Release
441
+ data_path: data/chunk-{id}/episode_{id}.parquet
442
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
443
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_take_electronics.yaml CHANGED
@@ -1,133 +1,435 @@
1
- path: Airbot_MMK2_take_electronics
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_take_electronics
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Abnormal
12
- objects:
13
- - object_name: lid
14
- level1: laboratory_supplies
15
- level2: lid
16
  level3: null
17
  level4: null
18
  level5: null
 
 
 
19
  - object_name: paper_boxes
20
- level1: packaging
21
  level2: paper_boxes
22
  level3: null
23
  level4: null
24
  level5: null
25
- operation_platform_height: 77.2
26
- frame_range: 0-13465
27
- dataset_size: 399.8MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
  statistics:
29
  total_episodes: 49
30
  total_frames: 13465
31
- total_tasks: 1
 
32
  total_videos: 196
33
  total_chunks: 1
34
  chunks_size: 1000
35
- fps: 30
36
- dataset_uuid: 2a1f327d-2569-4da5-9161-97377d90dbee
37
- language:
38
- - en
39
- - zh
40
- task_categories:
41
- - robotics
42
- sub_tasks:
43
- - Abnormal
44
- - Place the mouse box on the table with the left gripper
45
- - Grasp the calculator box on the white lid and with the right gripper
46
- - Grasp the mouse box on the white lid and with the left gripper
47
- - End
48
- - Place the calculator box on the table with the right gripper
49
- - 'null'
50
- annotations:
51
- subtask_annotation: auto_generated
52
- scene_annotation: auto_generated
53
- eef_direction: auto_generated
54
- eef_velocity: auto_generated
55
- eef_acc_mag: auto_generated
56
- gripper_mode: auto_generated
57
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
58
  authors:
59
  contributed_by:
60
- - name: RoboCOIN
61
- url: https://flagopen.github.io/RoboCOIN/
62
- affiliation: RoboCOIN Team
63
- annotated_by:
64
- - name: RoboCOIN
65
- url: https://flagopen.github.io/RoboCOIN/
66
- affiliation: RoboCOIN Team
67
  homepage: https://flagopen.github.io/RoboCOIN/
68
  paper: https://arxiv.org/abs/2511.17441
69
  repository: https://github.com/FlagOpen/RoboCOIN
70
- license: apache-2.0
71
- tags:
72
- - RoboCOIN
73
- - LeRobot
74
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
75
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
76
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
77
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
78
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
79
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
80
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
81
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
82
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
83
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
84
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
85
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
86
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
87
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
88
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
89
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
90
- \ }"
91
- depth_enabled: false
92
- data_schema: "Airbot_MMK2_take_electronics_qced_hardlink/\n├── annotations/\n│ ├──\
93
- \ eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├──\
94
- \ eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ \
95
- \ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
96
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
97
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
98
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
99
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
100
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
101
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
102
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
103
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
104
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
105
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
106
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
107
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
108
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
109
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
110
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
111
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
112
- \ (...)"
113
- structure: "Airbot_MMK2_take_electronics_qced_hardlink/\n├── annotations/\n│ ├──\
114
- \ eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├──\
115
- \ eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ \
116
- \ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
117
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
118
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
119
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
120
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
121
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
122
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
123
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
124
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
125
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
126
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
127
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
128
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
129
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
130
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
131
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
132
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
133
- \ (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_take_electronics
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: industry
27
+ level2: factory
 
 
 
 
 
 
 
 
 
28
  level3: null
29
  level4: null
30
  level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
  - object_name: paper_boxes
35
+ level1: baskets
36
  level2: paper_boxes
37
  level3: null
38
  level4: null
39
  level5: null
40
+ - object_name: lid
41
+ level1: storage_utensils
42
+ level2: lid
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - take the calculator box and mouse box off the lid and place them on the table.
50
+ sub_tasks:
51
+ - subtask: Abnormal
52
+ subtask_index: 0
53
+ - subtask: Place the mouse box on the table with the left gripper
54
+ subtask_index: 1
55
+ - subtask: Grasp the calculator box on the white lid and with the right gripper
56
+ subtask_index: 2
57
+ - subtask: Grasp the mouse box on the white lid and with the left gripper
58
+ subtask_index: 3
59
+ - subtask: End
60
+ subtask_index: 4
61
+ - subtask: Place the calculator box on the table with the right gripper
62
+ subtask_index: 5
63
+ - subtask: 'null'
64
+ subtask_index: 6
65
+ atomic_actions:
66
+ - grasp
67
+ - pick
68
+ - place
69
+ robot_name:
70
+ - Airbot_MMK2
71
+ end_effector_type: five_finger_gripper
72
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
73
+ type information.
74
+ sensor_list:
75
+ - cam_head_rgb
76
+ - cam_left_wrist_rgb
77
+ - cam_right_wrist_rgb
78
+ - cam_front_rgb
79
+ came_info:
80
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
81
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
84
+ pix_fmt=yuv420p
85
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
86
+ depth_enabled: false
87
+ coordinate_definition: right-hand-frame
88
+ joint_rotation_dim: radian
89
+ end_rotation_dim: end_rotation_dim
90
+ end_translation_dim: end_translation_dim
91
+ annotations:
92
+ - eef_acc_mag_annotation.jsonl
93
+ - eef_direction_annotation.jsonl
94
+ - eef_velocity_annotation.jsonl
95
+ - gripper_activity_annotation.jsonl
96
+ - gripper_mode_annotation.jsonl
97
+ - scene_annotations.jsonl
98
+ - subtask_annotations.jsonl
99
  statistics:
100
  total_episodes: 49
101
  total_frames: 13465
102
+ fps: 30
103
+ total_tasks: 7
104
  total_videos: 196
105
  total_chunks: 1
106
  chunks_size: 1000
107
+ state_dim: 36
108
+ action_dim: 36
109
+ camera_views: 4
110
+ dataset_size: 400.20 MB
111
+ frame_num: 13465
112
+ dataset_size: 400.20 MB
113
+ data_structure: "Airbot_MMK2_take_electronics_qced_hardlink/\n|-- annotations\n| \
114
+ \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| \
115
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
116
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
117
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
118
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
119
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
120
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
121
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
122
+ | `-- episode_000011.parquet\n| `-- ... (37 more entries)\n|-- meta\n\
123
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
124
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
125
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
126
+ \ `-- observation.images.cam_right_wrist_rgb"
127
+ splits:
128
+ train: 0:48
129
+ features:
130
+ observation.images.cam_head_rgb:
131
+ dtype: video
132
+ shape:
133
+ - 480
134
+ - 640
135
+ - 3
136
+ names:
137
+ - height
138
+ - width
139
+ - channels
140
+ info:
141
+ video.height: 480
142
+ video.width: 640
143
+ video.codec: av1
144
+ video.pix_fmt: yuv420p
145
+ video.is_depth_map: false
146
+ video.fps: 30
147
+ video.channels: 3
148
+ has_audio: false
149
+ observation.images.cam_left_wrist_rgb:
150
+ dtype: video
151
+ shape:
152
+ - 480
153
+ - 640
154
+ - 3
155
+ names:
156
+ - height
157
+ - width
158
+ - channels
159
+ info:
160
+ video.height: 480
161
+ video.width: 640
162
+ video.codec: av1
163
+ video.pix_fmt: yuv420p
164
+ video.is_depth_map: false
165
+ video.fps: 30
166
+ video.channels: 3
167
+ has_audio: false
168
+ observation.images.cam_right_wrist_rgb:
169
+ dtype: video
170
+ shape:
171
+ - 480
172
+ - 640
173
+ - 3
174
+ names:
175
+ - height
176
+ - width
177
+ - channels
178
+ info:
179
+ video.height: 480
180
+ video.width: 640
181
+ video.codec: av1
182
+ video.pix_fmt: yuv420p
183
+ video.is_depth_map: false
184
+ video.fps: 30
185
+ video.channels: 3
186
+ has_audio: false
187
+ observation.images.cam_front_rgb:
188
+ dtype: video
189
+ shape:
190
+ - 480
191
+ - 640
192
+ - 3
193
+ names:
194
+ - height
195
+ - width
196
+ - channels
197
+ info:
198
+ video.height: 480
199
+ video.width: 640
200
+ video.codec: av1
201
+ video.pix_fmt: yuv420p
202
+ video.is_depth_map: false
203
+ video.fps: 30
204
+ video.channels: 3
205
+ has_audio: false
206
+ observation.state:
207
+ dtype: float32
208
+ shape:
209
+ - 36
210
+ names:
211
+ - left_arm_joint_1_rad
212
+ - left_arm_joint_2_rad
213
+ - left_arm_joint_3_rad
214
+ - left_arm_joint_4_rad
215
+ - left_arm_joint_5_rad
216
+ - left_arm_joint_6_rad
217
+ - right_arm_joint_1_rad
218
+ - right_arm_joint_2_rad
219
+ - right_arm_joint_3_rad
220
+ - right_arm_joint_4_rad
221
+ - right_arm_joint_5_rad
222
+ - right_arm_joint_6_rad
223
+ - left_hand_joint_1_rad
224
+ - left_hand_joint_2_rad
225
+ - left_hand_joint_3_rad
226
+ - left_hand_joint_4_rad
227
+ - left_hand_joint_5_rad
228
+ - left_hand_joint_6_rad
229
+ - left_hand_joint_7_rad
230
+ - left_hand_joint_8_rad
231
+ - left_hand_joint_9_rad
232
+ - left_hand_joint_10_rad
233
+ - left_hand_joint_11_rad
234
+ - left_hand_joint_12_rad
235
+ - right_hand_joint_1_rad
236
+ - right_hand_joint_2_rad
237
+ - right_hand_joint_3_rad
238
+ - right_hand_joint_4_rad
239
+ - right_hand_joint_5_rad
240
+ - right_hand_joint_6_rad
241
+ - right_hand_joint_7_rad
242
+ - right_hand_joint_8_rad
243
+ - right_hand_joint_9_rad
244
+ - right_hand_joint_10_rad
245
+ - right_hand_joint_11_rad
246
+ - right_hand_joint_12_rad
247
+ action:
248
+ dtype: float32
249
+ shape:
250
+ - 36
251
+ names:
252
+ - left_arm_joint_1_rad
253
+ - left_arm_joint_2_rad
254
+ - left_arm_joint_3_rad
255
+ - left_arm_joint_4_rad
256
+ - left_arm_joint_5_rad
257
+ - left_arm_joint_6_rad
258
+ - right_arm_joint_1_rad
259
+ - right_arm_joint_2_rad
260
+ - right_arm_joint_3_rad
261
+ - right_arm_joint_4_rad
262
+ - right_arm_joint_5_rad
263
+ - right_arm_joint_6_rad
264
+ - left_hand_joint_1_rad
265
+ - left_hand_joint_2_rad
266
+ - left_hand_joint_3_rad
267
+ - left_hand_joint_4_rad
268
+ - left_hand_joint_5_rad
269
+ - left_hand_joint_6_rad
270
+ - left_hand_joint_7_rad
271
+ - left_hand_joint_8_rad
272
+ - left_hand_joint_9_rad
273
+ - left_hand_joint_10_rad
274
+ - left_hand_joint_11_rad
275
+ - left_hand_joint_12_rad
276
+ - right_hand_joint_1_rad
277
+ - right_hand_joint_2_rad
278
+ - right_hand_joint_3_rad
279
+ - right_hand_joint_4_rad
280
+ - right_hand_joint_5_rad
281
+ - right_hand_joint_6_rad
282
+ - right_hand_joint_7_rad
283
+ - right_hand_joint_8_rad
284
+ - right_hand_joint_9_rad
285
+ - right_hand_joint_10_rad
286
+ - right_hand_joint_11_rad
287
+ - right_hand_joint_12_rad
288
+ timestamp:
289
+ dtype: float32
290
+ shape:
291
+ - 1
292
+ names: null
293
+ frame_index:
294
+ dtype: int64
295
+ shape:
296
+ - 1
297
+ names: null
298
+ episode_index:
299
+ dtype: int64
300
+ shape:
301
+ - 1
302
+ names: null
303
+ index:
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+ - left_eef_pos_z
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+ - left_eef_rot_x
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+ - left_eef_rot_z
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+ - right_eef_rot_y
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+ - right_eef_rot_z
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+ shape:
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+ - 12
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+ dtype: float32
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+ eef_sim_pose_action:
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+ names:
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+ - left_eef_pos_y
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+ - left_eef_pos_z
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+ - right_eef_rot_x
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+ - right_eef_rot_y
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+ - right_eef_rot_z
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+ shape:
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+ - 12
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+ dtype: float32
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+ eef_direction_state:
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+ names:
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+ - right_eef_direction
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+ shape:
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+ - 2
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+ dtype: int32
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+ eef_direction_action:
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+ names:
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+ - left_eef_direction
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+ - right_eef_direction
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+ shape:
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+ - 2
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+ dtype: int32
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+ eef_velocity_state:
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+ names:
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+ - left_eef_velocity
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+ - right_eef_velocity
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+ shape:
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+ - 2
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+ dtype: int32
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+ eef_velocity_action:
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+ names:
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+ - left_eef_velocity
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+ - right_eef_velocity
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+ shape:
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+ - 2
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+ dtype: int32
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+ eef_acc_mag_state:
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+ names:
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+ - left_eef_acc_mag
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+ - right_eef_acc_mag
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+ shape:
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+ - 2
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+ dtype: int32
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+ eef_acc_mag_action:
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+ names:
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+ - left_eef_acc_mag
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+ shape:
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+ - 2
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+ dtype: int32
399
  authors:
400
  contributed_by:
401
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
402
+ dataset_description: This dataset uses an extended format based on LeRobot and is
403
+ fully compatible with LeRobot.
 
 
 
 
404
  homepage: https://flagopen.github.io/RoboCOIN/
405
  paper: https://arxiv.org/abs/2511.17441
406
  repository: https://github.com/FlagOpen/RoboCOIN
407
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
408
+ us.
409
+ support_info: For technical support, please open an issue on our GitHub repository.
410
+ license_details: apache-2.0
411
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
412
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
413
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
414
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
415
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
416
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
417
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
418
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
419
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
420
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
421
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
422
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
423
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
424
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
425
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
426
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
427
+ additional_citations: 'If you use this dataset, please also consider citing:
428
+
429
+ LeRobot Framework: https://github.com/huggingface/lerobot
430
+
431
+ '
432
+ version_info: Initial Release
433
+ data_path: data/chunk-{id}/episode_{id}.parquet
434
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
435
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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138
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141
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142
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144
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145
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146
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148
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482
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