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Update RoboCOIN assets

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  1. dataset_info/Agilex_Cobot_Magic_close_drawer_bottom.yaml +502 -0
  2. dataset_info/Agilex_Cobot_Magic_close_drawer_upper.yaml +506 -0
  3. dataset_info/Agilex_Cobot_Magic_erase_board_left_side.yaml +518 -0
  4. dataset_info/Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth.yaml +528 -0
  5. dataset_info/Agilex_Cobot_Magic_open_drawer_bottom.yaml +508 -0
  6. dataset_info/Agilex_Cobot_Magic_storage_bread_basket.yaml +499 -0
  7. dataset_info/Agilex_Cobot_Magic_storage_object_closest.yaml +561 -0
  8. dataset_info/Airbot_MMK2_move_block_gold_bar_models.yaml +413 -109
  9. dataset_info/Airbot_MMK2_slide_tape_onto_can.yaml +438 -0
  10. dataset_info/Airbot_MMK2_stack_cubic_block.yaml +444 -0
  11. dataset_info/Airbot_MMK2_storage_cake_ice_cream.yaml +498 -0
  12. dataset_info/Airbot_MMK2_storage_diamond_ring.yaml +432 -0
  13. dataset_info/Airbot_MMK2_storage_shark_doll.yaml +437 -0
  14. dataset_info/Airbot_MMK2_storage_tape_measure_umbrella.yaml +441 -0
  15. dataset_info/Airbot_MMK2_take_bowl_sponge.yaml +441 -0
  16. dataset_info/Airbot_MMK2_take_dog_doll.yaml +434 -0
  17. dataset_info/Airbot_MMK2_take_part_both_hands.yaml +439 -0
  18. dataset_info/Galaxea_R1_Lite_pour_solid.yaml +569 -0
  19. dataset_info/Realman_RMC-AIDA-L_storage_peach_drawer.yaml +500 -0
  20. dataset_info/Realman_RMC-AIDA-L_storage_towel_basket.yaml +502 -0
  21. info/consolidated_datasets.json +0 -0
  22. info/data_index.json +21 -1
  23. info/exclude.json +10 -52
  24. info/robot_aliases.json +1 -1
  25. thumbnails/Agilex_Cobot_Magic_close_drawer_bottom.jpg +3 -0
  26. thumbnails/Agilex_Cobot_Magic_close_drawer_upper.jpg +3 -0
  27. thumbnails/Agilex_Cobot_Magic_erase_board_left_side.jpg +3 -0
  28. thumbnails/Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth.jpg +3 -0
  29. thumbnails/Agilex_Cobot_Magic_open_drawer_bottom.jpg +3 -0
  30. thumbnails/Agilex_Cobot_Magic_storage_bread_basket.jpg +3 -0
  31. thumbnails/Agilex_Cobot_Magic_storage_object_closest.jpg +3 -0
  32. thumbnails/Airbot_MMK2_move_block_gold_bar_models.jpg +2 -2
  33. thumbnails/Airbot_MMK2_slide_tape_onto_can.jpg +3 -0
  34. thumbnails/Airbot_MMK2_stack_cubic_block.jpg +3 -0
  35. thumbnails/Airbot_MMK2_storage_cake_ice_cream.jpg +3 -0
  36. thumbnails/Airbot_MMK2_storage_diamond_ring.jpg +3 -0
  37. thumbnails/Airbot_MMK2_storage_shark_doll.jpg +3 -0
  38. thumbnails/Airbot_MMK2_storage_tape_measure_umbrella.jpg +3 -0
  39. thumbnails/Airbot_MMK2_take_bowl_sponge.jpg +3 -0
  40. thumbnails/Airbot_MMK2_take_dog_doll.jpg +3 -0
  41. thumbnails/Airbot_MMK2_take_part_both_hands.jpg +3 -0
  42. thumbnails/Galaxea_R1_Lite_pour_solid.jpg +3 -0
  43. thumbnails/Galaxea_R1_Lite_storage_object_yellow_basket.jpg +2 -2
  44. thumbnails/Realman_RMC-AIDA-L_storage_peach_drawer.jpg +3 -0
  45. thumbnails/Realman_RMC-AIDA-L_storage_towel_basket.jpg +3 -0
  46. videos/Agilex_Cobot_Magic_close_drawer_bottom.mp4 +3 -0
  47. videos/Agilex_Cobot_Magic_close_drawer_upper.mp4 +3 -0
  48. videos/Agilex_Cobot_Magic_erase_board_left_side.mp4 +3 -0
  49. videos/Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth.mp4 +3 -0
  50. videos/Agilex_Cobot_Magic_open_drawer_bottom.mp4 +3 -0
dataset_info/Agilex_Cobot_Magic_close_drawer_bottom.yaml ADDED
@@ -0,0 +1,502 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Agilex_Cobot_Magic_close_drawer_bottom
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: three_layer_transparent_drawer
41
+ level1: laboratory_supplies
42
+ level2: three_layer_transparent_drawer
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
+ - close the bottom drawer.
50
+ sub_tasks:
51
+ - subtask: End
52
+ subtask_index: 0
53
+ - subtask: Use the right gripper to contact the bottom layer of the storage cabinet
54
+ subtask_index: 1
55
+ - subtask: Push the bottom drawer closed
56
+ subtask_index: 2
57
+ - subtask: 'null'
58
+ subtask_index: 3
59
+ atomic_actions:
60
+ - grasp
61
+ - push
62
+ robot_name:
63
+ - Agilex_Cobot_Magic
64
+ end_effector_type: two_finger_gripper
65
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
66
+ type information.
67
+ sensor_list:
68
+ - cam_head_rgb
69
+ - cam_left_wrist_rgb
70
+ - cam_right_wrist_rgb
71
+ came_info:
72
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
73
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
74
+ pix_fmt=yuv420p
75
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
76
+ pix_fmt=yuv420p
77
+ depth_enabled: false
78
+ coordinate_definition: right-hand-frame
79
+ joint_rotation_dim: radian
80
+ end_rotation_dim: radian
81
+ end_translation_dim: meter
82
+ annotations:
83
+ - eef_acc_mag_annotation.jsonl
84
+ - eef_direction_annotation.jsonl
85
+ - eef_velocity_annotation.jsonl
86
+ - gripper_activity_annotation.jsonl
87
+ - gripper_mode_annotation.jsonl
88
+ - scene_annotations.jsonl
89
+ - subtask_annotations.jsonl
90
+ statistics:
91
+ total_episodes: 50
92
+ total_frames: 16270
93
+ fps: 30
94
+ total_tasks: 4
95
+ total_videos: 150
96
+ total_chunks: 1
97
+ chunks_size: 1000
98
+ state_dim: 26
99
+ action_dim: 26
100
+ camera_views: 3
101
+ dataset_size: 157.62 MB
102
+ frame_num: 16270
103
+ dataset_size: 157.62 MB
104
+ data_structure: 'Agilex_Cobot_Magic_close_drawer_bottom_qced_hardlink/
105
+
106
+ |-- annotations
107
+
108
+ | |-- eef_acc_mag_annotation.jsonl
109
+
110
+ | |-- eef_direction_annotation.jsonl
111
+
112
+ | |-- eef_velocity_annotation.jsonl
113
+
114
+ | |-- gripper_activity_annotation.jsonl
115
+
116
+ | |-- gripper_mode_annotation.jsonl
117
+
118
+ | |-- scene_annotations.jsonl
119
+
120
+ | `-- subtask_annotations.jsonl
121
+
122
+ |-- backup
123
+
124
+ | |-- data
125
+
126
+ | | `-- chunk-000
127
+
128
+ | `-- meta
129
+
130
+ | |-- episodes.jsonl
131
+
132
+ | |-- episodes_stats.jsonl
133
+
134
+ | |-- info.json
135
+
136
+ | `-- tasks.jsonl
137
+
138
+ |-- data
139
+
140
+ | `-- chunk-000
141
+
142
+ | |-- episode_000000.parquet
143
+
144
+ | |-- episode_000001.parquet
145
+
146
+ | |-- episode_000002.parquet
147
+
148
+ | |-- episode_000003.parquet
149
+
150
+ | |-- episode_000004.parquet
151
+
152
+ | |-- episode_000005.parquet
153
+
154
+ | |-- episode_000006.parquet
155
+
156
+ | |-- episode_000007.parquet
157
+
158
+ | |-- episode_000008.parquet
159
+
160
+ | |-- episode_000009.parquet
161
+
162
+ | |-- episode_000010.parquet
163
+
164
+ | `-- episode_000011.parquet
165
+
166
+ | `-- ... (38 more entries)
167
+
168
+ |-- meta
169
+
170
+ | |-- episodes.jsonl
171
+
172
+ | |-- episodes_stats.jsonl
173
+
174
+ | |-- info.json
175
+
176
+ | `-- tasks.jsonl
177
+
178
+ |-- videos
179
+
180
+ | `-- chunk-000
181
+
182
+ | |-- observation.images.cam_head_rgb
183
+
184
+ | |-- observation.images.cam_left_wrist_rgb
185
+
186
+ | `-- observation.images.cam_right_wrist_rgb
187
+
188
+ |-- info.yaml
189
+
190
+ `-- README.md'
191
+ splits:
192
+ train: 0:49
193
+ features:
194
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
214
+ dtype: video
215
+ shape:
216
+ - 480
217
+ - 640
218
+ - 3
219
+ names:
220
+ - height
221
+ - width
222
+ - channels
223
+ info:
224
+ video.height: 480
225
+ video.width: 640
226
+ video.codec: av1
227
+ video.pix_fmt: yuv420p
228
+ video.is_depth_map: false
229
+ video.fps: 30
230
+ video.channels: 3
231
+ has_audio: false
232
+ observation.images.cam_right_wrist_rgb:
233
+ dtype: video
234
+ shape:
235
+ - 480
236
+ - 640
237
+ - 3
238
+ names:
239
+ - height
240
+ - width
241
+ - channels
242
+ info:
243
+ video.height: 480
244
+ video.width: 640
245
+ video.codec: av1
246
+ video.pix_fmt: yuv420p
247
+ video.is_depth_map: false
248
+ video.fps: 30
249
+ video.channels: 3
250
+ has_audio: false
251
+ observation.state:
252
+ dtype: float32
253
+ shape:
254
+ - 26
255
+ names:
256
+ - left_arm_joint_1_rad
257
+ - left_arm_joint_2_rad
258
+ - left_arm_joint_3_rad
259
+ - left_arm_joint_4_rad
260
+ - left_arm_joint_5_rad
261
+ - left_arm_joint_6_rad
262
+ - left_gripper_open
263
+ - left_eef_pos_x_m
264
+ - left_eef_pos_y_m
265
+ - left_eef_pos_z_m
266
+ - left_eef_rot_euler_x_rad
267
+ - left_eef_rot_euler_y_rad
268
+ - left_eef_rot_euler_z_rad
269
+ - right_arm_joint_1_rad
270
+ - right_arm_joint_2_rad
271
+ - right_arm_joint_3_rad
272
+ - right_arm_joint_4_rad
273
+ - right_arm_joint_5_rad
274
+ - right_arm_joint_6_rad
275
+ - right_gripper_open
276
+ - right_eef_pos_x_m
277
+ - right_eef_pos_y_m
278
+ - right_eef_pos_z_m
279
+ - right_eef_rot_euler_x_rad
280
+ - right_eef_rot_euler_y_rad
281
+ - right_eef_rot_euler_z_rad
282
+ action:
283
+ dtype: float32
284
+ shape:
285
+ - 26
286
+ names:
287
+ - left_arm_joint_1_rad
288
+ - left_arm_joint_2_rad
289
+ - left_arm_joint_3_rad
290
+ - left_arm_joint_4_rad
291
+ - left_arm_joint_5_rad
292
+ - left_arm_joint_6_rad
293
+ - left_gripper_open
294
+ - left_eef_pos_x_m
295
+ - left_eef_pos_y_m
296
+ - left_eef_pos_z_m
297
+ - left_eef_rot_euler_x_rad
298
+ - left_eef_rot_euler_y_rad
299
+ - left_eef_rot_euler_z_rad
300
+ - right_arm_joint_1_rad
301
+ - right_arm_joint_2_rad
302
+ - right_arm_joint_3_rad
303
+ - right_arm_joint_4_rad
304
+ - right_arm_joint_5_rad
305
+ - right_arm_joint_6_rad
306
+ - right_gripper_open
307
+ - right_eef_pos_x_m
308
+ - right_eef_pos_y_m
309
+ - right_eef_pos_z_m
310
+ - right_eef_rot_euler_x_rad
311
+ - right_eef_rot_euler_y_rad
312
+ - right_eef_rot_euler_z_rad
313
+ timestamp:
314
+ dtype: float32
315
+ shape:
316
+ - 1
317
+ names: null
318
+ frame_index:
319
+ dtype: int64
320
+ shape:
321
+ - 1
322
+ names: null
323
+ episode_index:
324
+ dtype: int64
325
+ shape:
326
+ - 1
327
+ names: null
328
+ index:
329
+ dtype: int64
330
+ shape:
331
+ - 1
332
+ names: null
333
+ task_index:
334
+ dtype: int64
335
+ shape:
336
+ - 1
337
+ names: null
338
+ subtask_annotation:
339
+ names: null
340
+ dtype: int32
341
+ shape:
342
+ - 5
343
+ scene_annotation:
344
+ names: null
345
+ dtype: int32
346
+ shape:
347
+ - 1
348
+ eef_sim_pose_state:
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
+ dtype: float32
363
+ shape:
364
+ - 12
365
+ eef_sim_pose_action:
366
+ names:
367
+ - left_eef_pos_x
368
+ - left_eef_pos_y
369
+ - left_eef_pos_z
370
+ - left_eef_rot_x
371
+ - left_eef_rot_y
372
+ - left_eef_rot_z
373
+ - right_eef_pos_x
374
+ - right_eef_pos_y
375
+ - right_eef_pos_z
376
+ - right_eef_rot_x
377
+ - right_eef_rot_y
378
+ - right_eef_rot_z
379
+ dtype: float32
380
+ shape:
381
+ - 12
382
+ eef_direction_state:
383
+ names:
384
+ - left_eef_direction
385
+ - right_eef_direction
386
+ dtype: int32
387
+ shape:
388
+ - 2
389
+ eef_direction_action:
390
+ names:
391
+ - left_eef_direction
392
+ - right_eef_direction
393
+ dtype: int32
394
+ shape:
395
+ - 2
396
+ eef_velocity_state:
397
+ names:
398
+ - left_eef_velocity
399
+ - right_eef_velocity
400
+ dtype: int32
401
+ shape:
402
+ - 2
403
+ eef_velocity_action:
404
+ names:
405
+ - left_eef_velocity
406
+ - right_eef_velocity
407
+ dtype: int32
408
+ shape:
409
+ - 2
410
+ eef_acc_mag_state:
411
+ names:
412
+ - left_eef_acc_mag
413
+ - right_eef_acc_mag
414
+ dtype: int32
415
+ shape:
416
+ - 2
417
+ eef_acc_mag_action:
418
+ names:
419
+ - left_eef_acc_mag
420
+ - right_eef_acc_mag
421
+ dtype: int32
422
+ shape:
423
+ - 2
424
+ gripper_mode_state:
425
+ names:
426
+ - left_gripper_mode
427
+ - right_gripper_mode
428
+ dtype: int32
429
+ shape:
430
+ - 2
431
+ gripper_mode_action:
432
+ names:
433
+ - left_gripper_mode
434
+ - right_gripper_mode
435
+ dtype: int32
436
+ shape:
437
+ - 2
438
+ gripper_activity_state:
439
+ names:
440
+ - left_gripper_activity
441
+ - right_gripper_activity
442
+ dtype: int32
443
+ shape:
444
+ - 2
445
+ gripper_activity_action:
446
+ names:
447
+ - left_gripper_activity
448
+ - right_gripper_activity
449
+ dtype: int32
450
+ shape:
451
+ - 2
452
+ gripper_open_scale_state:
453
+ names:
454
+ - left_gripper_open_scale
455
+ - right_gripper_open_scale
456
+ dtype: float32
457
+ shape:
458
+ - 2
459
+ gripper_open_scale_action:
460
+ names:
461
+ - left_gripper_open_scale
462
+ - right_gripper_open_scale
463
+ dtype: float32
464
+ shape:
465
+ - 2
466
+ authors:
467
+ contributed_by:
468
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
469
+ dataset_description: This dataset uses an extended format based on LeRobot and is
470
+ fully compatible with LeRobot.
471
+ homepage: https://flagopen.github.io/RoboCOIN/
472
+ paper: https://arxiv.org/abs/2511.17441
473
+ repository: https://github.com/FlagOpen/RoboCOIN
474
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
475
+ us.
476
+ support_info: For technical support, please open an issue on our GitHub repository.
477
+ license_details: apache-2.0
478
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
479
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
480
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
481
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
482
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
483
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
484
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
485
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
486
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
487
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
488
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
489
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
490
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
491
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
492
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
493
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
494
+ additional_citations: 'If you use this dataset, please also consider citing:
495
+
496
+ LeRobot Framework: https://github.com/huggingface/lerobot
497
+
498
+ '
499
+ version_info: Initial Release
500
+ data_path: data/chunk-{id}/episode_{id}.parquet
501
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
502
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_close_drawer_upper.yaml ADDED
@@ -0,0 +1,506 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Agilex_Cobot_Magic_close_drawer_upper
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: three_layer_transparent_drawer
41
+ level1: laboratory_supplies
42
+ level2: three-layer_transparent_drawer
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
+ - close the upper drawer.
50
+ sub_tasks:
51
+ - subtask: Use the right gripper to touch the topmost layer of the storage cabinet
52
+ subtask_index: 0
53
+ - subtask: Push the top drawer closed
54
+ subtask_index: 1
55
+ - subtask: Use the right gripper to contact the middle shelf of the cabinet
56
+ subtask_index: 2
57
+ - subtask: End
58
+ subtask_index: 3
59
+ - subtask: Push the middle drawer closed
60
+ subtask_index: 4
61
+ - subtask: 'null'
62
+ subtask_index: 5
63
+ atomic_actions:
64
+ - grasp
65
+ - push
66
+ robot_name:
67
+ - Agilex_Cobot_Magic
68
+ end_effector_type: two_finger_gripper
69
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
70
+ type information.
71
+ sensor_list:
72
+ - cam_head_rgb
73
+ - cam_left_wrist_rgb
74
+ - cam_right_wrist_rgb
75
+ came_info:
76
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
77
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
78
+ pix_fmt=yuv420p
79
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ depth_enabled: false
82
+ coordinate_definition: right-hand-frame
83
+ joint_rotation_dim: radian
84
+ end_rotation_dim: radian
85
+ end_translation_dim: meter
86
+ annotations:
87
+ - eef_acc_mag_annotation.jsonl
88
+ - eef_direction_annotation.jsonl
89
+ - eef_velocity_annotation.jsonl
90
+ - gripper_activity_annotation.jsonl
91
+ - gripper_mode_annotation.jsonl
92
+ - scene_annotations.jsonl
93
+ - subtask_annotations.jsonl
94
+ statistics:
95
+ total_episodes: 173
96
+ total_frames: 49994
97
+ fps: 30
98
+ total_tasks: 6
99
+ total_videos: 519
100
+ total_chunks: 1
101
+ chunks_size: 1000
102
+ state_dim: 26
103
+ action_dim: 26
104
+ camera_views: 3
105
+ dataset_size: 522.40 MB
106
+ frame_num: 49994
107
+ dataset_size: 522.40 MB
108
+ data_structure: 'Agilex_Cobot_Magic_close_drawer_upper_qced_hardlink/
109
+
110
+ |-- annotations
111
+
112
+ | |-- eef_acc_mag_annotation.jsonl
113
+
114
+ | |-- eef_direction_annotation.jsonl
115
+
116
+ | |-- eef_velocity_annotation.jsonl
117
+
118
+ | |-- gripper_activity_annotation.jsonl
119
+
120
+ | |-- gripper_mode_annotation.jsonl
121
+
122
+ | |-- scene_annotations.jsonl
123
+
124
+ | `-- subtask_annotations.jsonl
125
+
126
+ |-- backup
127
+
128
+ | |-- data
129
+
130
+ | | `-- chunk-000
131
+
132
+ | `-- meta
133
+
134
+ | |-- episodes.jsonl
135
+
136
+ | |-- episodes_stats.jsonl
137
+
138
+ | |-- info.json
139
+
140
+ | `-- tasks.jsonl
141
+
142
+ |-- data
143
+
144
+ | `-- chunk-000
145
+
146
+ | |-- episode_000000.parquet
147
+
148
+ | |-- episode_000001.parquet
149
+
150
+ | |-- episode_000002.parquet
151
+
152
+ | |-- episode_000003.parquet
153
+
154
+ | |-- episode_000004.parquet
155
+
156
+ | |-- episode_000005.parquet
157
+
158
+ | |-- episode_000006.parquet
159
+
160
+ | |-- episode_000007.parquet
161
+
162
+ | |-- episode_000008.parquet
163
+
164
+ | |-- episode_000009.parquet
165
+
166
+ | |-- episode_000010.parquet
167
+
168
+ | `-- episode_000011.parquet
169
+
170
+ | `-- ... (161 more entries)
171
+
172
+ |-- meta
173
+
174
+ | |-- episodes.jsonl
175
+
176
+ | |-- episodes_stats.jsonl
177
+
178
+ | |-- info.json
179
+
180
+ | `-- tasks.jsonl
181
+
182
+ |-- videos
183
+
184
+ | `-- chunk-000
185
+
186
+ | |-- observation.images.cam_head_rgb
187
+
188
+ | |-- observation.images.cam_left_wrist_rgb
189
+
190
+ | `-- observation.images.cam_right_wrist_rgb
191
+
192
+ |-- info.yaml
193
+
194
+ `-- README.md'
195
+ splits:
196
+ train: 0:172
197
+ features:
198
+ observation.images.cam_head_rgb:
199
+ dtype: video
200
+ shape:
201
+ - 480
202
+ - 640
203
+ - 3
204
+ names:
205
+ - height
206
+ - width
207
+ - channels
208
+ info:
209
+ video.height: 480
210
+ video.width: 640
211
+ video.codec: av1
212
+ video.pix_fmt: yuv420p
213
+ video.is_depth_map: false
214
+ video.fps: 30
215
+ video.channels: 3
216
+ has_audio: false
217
+ observation.images.cam_left_wrist_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 480
221
+ - 640
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 480
229
+ video.width: 640
230
+ video.codec: av1
231
+ video.pix_fmt: yuv420p
232
+ video.is_depth_map: false
233
+ video.fps: 30
234
+ video.channels: 3
235
+ has_audio: false
236
+ observation.images.cam_right_wrist_rgb:
237
+ dtype: video
238
+ shape:
239
+ - 480
240
+ - 640
241
+ - 3
242
+ names:
243
+ - height
244
+ - width
245
+ - channels
246
+ info:
247
+ video.height: 480
248
+ video.width: 640
249
+ video.codec: av1
250
+ video.pix_fmt: yuv420p
251
+ video.is_depth_map: false
252
+ video.fps: 30
253
+ video.channels: 3
254
+ has_audio: false
255
+ observation.state:
256
+ dtype: float32
257
+ shape:
258
+ - 26
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
+ - left_gripper_open
267
+ - left_eef_pos_x_m
268
+ - left_eef_pos_y_m
269
+ - left_eef_pos_z_m
270
+ - left_eef_rot_euler_x_rad
271
+ - left_eef_rot_euler_y_rad
272
+ - left_eef_rot_euler_z_rad
273
+ - right_arm_joint_1_rad
274
+ - right_arm_joint_2_rad
275
+ - right_arm_joint_3_rad
276
+ - right_arm_joint_4_rad
277
+ - right_arm_joint_5_rad
278
+ - right_arm_joint_6_rad
279
+ - right_gripper_open
280
+ - right_eef_pos_x_m
281
+ - right_eef_pos_y_m
282
+ - right_eef_pos_z_m
283
+ - right_eef_rot_euler_x_rad
284
+ - right_eef_rot_euler_y_rad
285
+ - right_eef_rot_euler_z_rad
286
+ action:
287
+ dtype: float32
288
+ shape:
289
+ - 26
290
+ names:
291
+ - left_arm_joint_1_rad
292
+ - left_arm_joint_2_rad
293
+ - left_arm_joint_3_rad
294
+ - left_arm_joint_4_rad
295
+ - left_arm_joint_5_rad
296
+ - left_arm_joint_6_rad
297
+ - left_gripper_open
298
+ - left_eef_pos_x_m
299
+ - left_eef_pos_y_m
300
+ - left_eef_pos_z_m
301
+ - left_eef_rot_euler_x_rad
302
+ - left_eef_rot_euler_y_rad
303
+ - left_eef_rot_euler_z_rad
304
+ - right_arm_joint_1_rad
305
+ - right_arm_joint_2_rad
306
+ - right_arm_joint_3_rad
307
+ - right_arm_joint_4_rad
308
+ - right_arm_joint_5_rad
309
+ - right_arm_joint_6_rad
310
+ - right_gripper_open
311
+ - right_eef_pos_x_m
312
+ - right_eef_pos_y_m
313
+ - right_eef_pos_z_m
314
+ - right_eef_rot_euler_x_rad
315
+ - right_eef_rot_euler_y_rad
316
+ - right_eef_rot_euler_z_rad
317
+ timestamp:
318
+ dtype: float32
319
+ shape:
320
+ - 1
321
+ names: null
322
+ frame_index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ episode_index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ index:
333
+ dtype: int64
334
+ shape:
335
+ - 1
336
+ names: null
337
+ task_index:
338
+ dtype: int64
339
+ shape:
340
+ - 1
341
+ names: null
342
+ subtask_annotation:
343
+ names: null
344
+ shape:
345
+ - 5
346
+ dtype: int32
347
+ scene_annotation:
348
+ names: null
349
+ shape:
350
+ - 1
351
+ dtype: int32
352
+ eef_sim_pose_state:
353
+ names:
354
+ - left_eef_pos_x
355
+ - left_eef_pos_y
356
+ - left_eef_pos_z
357
+ - left_eef_rot_x
358
+ - left_eef_rot_y
359
+ - left_eef_rot_z
360
+ - right_eef_pos_x
361
+ - right_eef_pos_y
362
+ - right_eef_pos_z
363
+ - right_eef_rot_x
364
+ - right_eef_rot_y
365
+ - right_eef_rot_z
366
+ shape:
367
+ - 12
368
+ dtype: float32
369
+ eef_sim_pose_action:
370
+ names:
371
+ - left_eef_pos_x
372
+ - left_eef_pos_y
373
+ - left_eef_pos_z
374
+ - left_eef_rot_x
375
+ - left_eef_rot_y
376
+ - left_eef_rot_z
377
+ - right_eef_pos_x
378
+ - right_eef_pos_y
379
+ - right_eef_pos_z
380
+ - right_eef_rot_x
381
+ - right_eef_rot_y
382
+ - right_eef_rot_z
383
+ shape:
384
+ - 12
385
+ dtype: float32
386
+ eef_direction_state:
387
+ names:
388
+ - left_eef_direction
389
+ - right_eef_direction
390
+ shape:
391
+ - 2
392
+ dtype: int32
393
+ eef_direction_action:
394
+ names:
395
+ - left_eef_direction
396
+ - right_eef_direction
397
+ shape:
398
+ - 2
399
+ dtype: int32
400
+ eef_velocity_state:
401
+ names:
402
+ - left_eef_velocity
403
+ - right_eef_velocity
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ eef_velocity_action:
408
+ names:
409
+ - left_eef_velocity
410
+ - right_eef_velocity
411
+ shape:
412
+ - 2
413
+ dtype: int32
414
+ eef_acc_mag_state:
415
+ names:
416
+ - left_eef_acc_mag
417
+ - right_eef_acc_mag
418
+ shape:
419
+ - 2
420
+ dtype: int32
421
+ eef_acc_mag_action:
422
+ names:
423
+ - left_eef_acc_mag
424
+ - right_eef_acc_mag
425
+ shape:
426
+ - 2
427
+ dtype: int32
428
+ gripper_mode_state:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ gripper_mode_action:
436
+ names:
437
+ - left_gripper_mode
438
+ - right_gripper_mode
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ gripper_activity_state:
443
+ names:
444
+ - left_gripper_activity
445
+ - right_gripper_activity
446
+ shape:
447
+ - 2
448
+ dtype: int32
449
+ gripper_activity_action:
450
+ names:
451
+ - left_gripper_activity
452
+ - right_gripper_activity
453
+ shape:
454
+ - 2
455
+ dtype: int32
456
+ gripper_open_scale_state:
457
+ names:
458
+ - left_gripper_open_scale
459
+ - right_gripper_open_scale
460
+ dtype: float32
461
+ shape:
462
+ - 2
463
+ gripper_open_scale_action:
464
+ names:
465
+ - left_gripper_open_scale
466
+ - right_gripper_open_scale
467
+ dtype: float32
468
+ shape:
469
+ - 2
470
+ authors:
471
+ contributed_by:
472
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
473
+ dataset_description: This dataset uses an extended format based on LeRobot and is
474
+ fully compatible with LeRobot.
475
+ homepage: https://flagopen.github.io/RoboCOIN/
476
+ paper: https://arxiv.org/abs/2511.17441
477
+ repository: https://github.com/FlagOpen/RoboCOIN
478
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
479
+ us.
480
+ support_info: For technical support, please open an issue on our GitHub repository.
481
+ license_details: apache-2.0
482
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
483
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
484
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
485
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
486
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
487
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
488
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
489
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
490
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
491
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
492
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
493
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
494
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
495
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
496
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
497
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
498
+ additional_citations: 'If you use this dataset, please also consider citing:
499
+
500
+ LeRobot Framework: https://github.com/huggingface/lerobot
501
+
502
+ '
503
+ version_info: Initial Release
504
+ data_path: data/chunk-{id}/episode_{id}.parquet
505
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
506
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_erase_board_left_side.yaml ADDED
@@ -0,0 +1,518 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Agilex_Cobot_Magic_erase_board_left_side
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: education
27
+ level2: school
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: whiteboard
41
+ level1: stationery
42
+ level2: whiteboard
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: red_whiteboard_Eraser
47
+ level1: stationery
48
+ level2: red_whiteboard_Eraser
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
+ - wipe off the handwriting on the whiteboard.
56
+ sub_tasks:
57
+ - subtask: Place the eraser with the left gripper
58
+ subtask_index: 0
59
+ - subtask: Grasp the eraser with the left gripper
60
+ subtask_index: 1
61
+ - subtask: End
62
+ subtask_index: 2
63
+ - subtask: Grasp the eraser and wipe the blackboard with the right gripper
64
+ subtask_index: 3
65
+ - subtask: Place the eraser with the right gripper
66
+ subtask_index: 4
67
+ - subtask: Grasp the eraser with the right gripper
68
+ subtask_index: 5
69
+ - subtask: Grasp the eraser and wipe the blackboard with the left gripper
70
+ subtask_index: 6
71
+ - subtask: 'null'
72
+ subtask_index: 7
73
+ atomic_actions:
74
+ - grasp
75
+ - lift
76
+ - lower
77
+ - wipe
78
+ robot_name:
79
+ - Agilex_Cobot_Magic
80
+ end_effector_type: two_finger_gripper
81
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
82
+ type information.
83
+ sensor_list:
84
+ - cam_head_rgb
85
+ - cam_left_wrist_rgb
86
+ - cam_right_wrist_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
+ depth_enabled: false
94
+ coordinate_definition: right-hand-frame
95
+ joint_rotation_dim: radian
96
+ end_rotation_dim: radian
97
+ end_translation_dim: meter
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: 101
108
+ total_frames: 51478
109
+ fps: 30
110
+ total_tasks: 8
111
+ total_videos: 303
112
+ total_chunks: 1
113
+ chunks_size: 1000
114
+ state_dim: 26
115
+ action_dim: 26
116
+ camera_views: 3
117
+ dataset_size: 490.77 MB
118
+ frame_num: 51478
119
+ dataset_size: 490.77 MB
120
+ data_structure: 'Agilex_Cobot_Magic_erase_board_left_side_qced_hardlink/
121
+
122
+ |-- annotations
123
+
124
+ | |-- eef_acc_mag_annotation.jsonl
125
+
126
+ | |-- eef_direction_annotation.jsonl
127
+
128
+ | |-- eef_velocity_annotation.jsonl
129
+
130
+ | |-- gripper_activity_annotation.jsonl
131
+
132
+ | |-- gripper_mode_annotation.jsonl
133
+
134
+ | |-- scene_annotations.jsonl
135
+
136
+ | `-- subtask_annotations.jsonl
137
+
138
+ |-- backup
139
+
140
+ | |-- data
141
+
142
+ | | `-- chunk-000
143
+
144
+ | `-- meta
145
+
146
+ | |-- episodes.jsonl
147
+
148
+ | |-- episodes_stats.jsonl
149
+
150
+ | |-- info.json
151
+
152
+ | `-- tasks.jsonl
153
+
154
+ |-- data
155
+
156
+ | `-- chunk-000
157
+
158
+ | |-- episode_000000.parquet
159
+
160
+ | |-- episode_000001.parquet
161
+
162
+ | |-- episode_000002.parquet
163
+
164
+ | |-- episode_000003.parquet
165
+
166
+ | |-- episode_000004.parquet
167
+
168
+ | |-- episode_000005.parquet
169
+
170
+ | |-- episode_000006.parquet
171
+
172
+ | |-- episode_000007.parquet
173
+
174
+ | |-- episode_000008.parquet
175
+
176
+ | |-- episode_000009.parquet
177
+
178
+ | |-- episode_000010.parquet
179
+
180
+ | `-- episode_000011.parquet
181
+
182
+ | `-- ... (89 more entries)
183
+
184
+ |-- meta
185
+
186
+ | |-- episodes.jsonl
187
+
188
+ | |-- episodes_stats.jsonl
189
+
190
+ | |-- info.json
191
+
192
+ | `-- tasks.jsonl
193
+
194
+ |-- videos
195
+
196
+ | `-- chunk-000
197
+
198
+ | |-- observation.images.cam_head_rgb
199
+
200
+ | |-- observation.images.cam_left_wrist_rgb
201
+
202
+ | `-- observation.images.cam_right_wrist_rgb
203
+
204
+ |-- info.yaml
205
+
206
+ `-- README.md'
207
+ splits:
208
+ train: 0:100
209
+ features:
210
+ observation.images.cam_head_rgb:
211
+ dtype: video
212
+ shape:
213
+ - 480
214
+ - 640
215
+ - 3
216
+ names:
217
+ - height
218
+ - width
219
+ - channels
220
+ info:
221
+ video.height: 480
222
+ video.width: 640
223
+ video.codec: av1
224
+ video.pix_fmt: yuv420p
225
+ video.is_depth_map: false
226
+ video.fps: 30
227
+ video.channels: 3
228
+ has_audio: false
229
+ observation.images.cam_left_wrist_rgb:
230
+ dtype: video
231
+ shape:
232
+ - 480
233
+ - 640
234
+ - 3
235
+ names:
236
+ - height
237
+ - width
238
+ - channels
239
+ info:
240
+ video.height: 480
241
+ video.width: 640
242
+ video.codec: av1
243
+ video.pix_fmt: yuv420p
244
+ video.is_depth_map: false
245
+ video.fps: 30
246
+ video.channels: 3
247
+ has_audio: false
248
+ observation.images.cam_right_wrist_rgb:
249
+ dtype: video
250
+ shape:
251
+ - 480
252
+ - 640
253
+ - 3
254
+ names:
255
+ - height
256
+ - width
257
+ - channels
258
+ info:
259
+ video.height: 480
260
+ video.width: 640
261
+ video.codec: av1
262
+ video.pix_fmt: yuv420p
263
+ video.is_depth_map: false
264
+ video.fps: 30
265
+ video.channels: 3
266
+ has_audio: false
267
+ observation.state:
268
+ dtype: float32
269
+ shape:
270
+ - 26
271
+ names:
272
+ - left_arm_joint_1_rad
273
+ - left_arm_joint_2_rad
274
+ - left_arm_joint_3_rad
275
+ - left_arm_joint_4_rad
276
+ - left_arm_joint_5_rad
277
+ - left_arm_joint_6_rad
278
+ - left_gripper_open
279
+ - left_eef_pos_x_m
280
+ - left_eef_pos_y_m
281
+ - left_eef_pos_z_m
282
+ - left_eef_rot_euler_x_rad
283
+ - left_eef_rot_euler_y_rad
284
+ - left_eef_rot_euler_z_rad
285
+ - right_arm_joint_1_rad
286
+ - right_arm_joint_2_rad
287
+ - right_arm_joint_3_rad
288
+ - right_arm_joint_4_rad
289
+ - right_arm_joint_5_rad
290
+ - right_arm_joint_6_rad
291
+ - right_gripper_open
292
+ - right_eef_pos_x_m
293
+ - right_eef_pos_y_m
294
+ - right_eef_pos_z_m
295
+ - right_eef_rot_euler_x_rad
296
+ - right_eef_rot_euler_y_rad
297
+ - right_eef_rot_euler_z_rad
298
+ action:
299
+ dtype: float32
300
+ shape:
301
+ - 26
302
+ names:
303
+ - left_arm_joint_1_rad
304
+ - left_arm_joint_2_rad
305
+ - left_arm_joint_3_rad
306
+ - left_arm_joint_4_rad
307
+ - left_arm_joint_5_rad
308
+ - left_arm_joint_6_rad
309
+ - left_gripper_open
310
+ - left_eef_pos_x_m
311
+ - left_eef_pos_y_m
312
+ - left_eef_pos_z_m
313
+ - left_eef_rot_euler_x_rad
314
+ - left_eef_rot_euler_y_rad
315
+ - left_eef_rot_euler_z_rad
316
+ - right_arm_joint_1_rad
317
+ - right_arm_joint_2_rad
318
+ - right_arm_joint_3_rad
319
+ - right_arm_joint_4_rad
320
+ - right_arm_joint_5_rad
321
+ - right_arm_joint_6_rad
322
+ - right_gripper_open
323
+ - right_eef_pos_x_m
324
+ - right_eef_pos_y_m
325
+ - right_eef_pos_z_m
326
+ - right_eef_rot_euler_x_rad
327
+ - right_eef_rot_euler_y_rad
328
+ - right_eef_rot_euler_z_rad
329
+ timestamp:
330
+ dtype: float32
331
+ shape:
332
+ - 1
333
+ names: null
334
+ frame_index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ episode_index:
340
+ dtype: int64
341
+ shape:
342
+ - 1
343
+ names: null
344
+ index:
345
+ dtype: int64
346
+ shape:
347
+ - 1
348
+ names: null
349
+ task_index:
350
+ dtype: int64
351
+ shape:
352
+ - 1
353
+ names: null
354
+ subtask_annotation:
355
+ names: null
356
+ dtype: int32
357
+ shape:
358
+ - 5
359
+ scene_annotation:
360
+ names: null
361
+ dtype: int32
362
+ shape:
363
+ - 1
364
+ eef_sim_pose_state:
365
+ names:
366
+ - left_eef_pos_x
367
+ - left_eef_pos_y
368
+ - left_eef_pos_z
369
+ - left_eef_rot_x
370
+ - left_eef_rot_y
371
+ - left_eef_rot_z
372
+ - right_eef_pos_x
373
+ - right_eef_pos_y
374
+ - right_eef_pos_z
375
+ - right_eef_rot_x
376
+ - right_eef_rot_y
377
+ - right_eef_rot_z
378
+ dtype: float32
379
+ shape:
380
+ - 12
381
+ eef_sim_pose_action:
382
+ names:
383
+ - left_eef_pos_x
384
+ - left_eef_pos_y
385
+ - left_eef_pos_z
386
+ - left_eef_rot_x
387
+ - left_eef_rot_y
388
+ - left_eef_rot_z
389
+ - right_eef_pos_x
390
+ - right_eef_pos_y
391
+ - right_eef_pos_z
392
+ - right_eef_rot_x
393
+ - right_eef_rot_y
394
+ - right_eef_rot_z
395
+ dtype: float32
396
+ shape:
397
+ - 12
398
+ eef_direction_state:
399
+ names:
400
+ - left_eef_direction
401
+ - right_eef_direction
402
+ dtype: int32
403
+ shape:
404
+ - 2
405
+ eef_direction_action:
406
+ names:
407
+ - left_eef_direction
408
+ - right_eef_direction
409
+ dtype: int32
410
+ shape:
411
+ - 2
412
+ eef_velocity_state:
413
+ names:
414
+ - left_eef_velocity
415
+ - right_eef_velocity
416
+ dtype: int32
417
+ shape:
418
+ - 2
419
+ eef_velocity_action:
420
+ names:
421
+ - left_eef_velocity
422
+ - right_eef_velocity
423
+ dtype: int32
424
+ shape:
425
+ - 2
426
+ eef_acc_mag_state:
427
+ names:
428
+ - left_eef_acc_mag
429
+ - right_eef_acc_mag
430
+ dtype: int32
431
+ shape:
432
+ - 2
433
+ eef_acc_mag_action:
434
+ names:
435
+ - left_eef_acc_mag
436
+ - right_eef_acc_mag
437
+ dtype: int32
438
+ shape:
439
+ - 2
440
+ gripper_mode_state:
441
+ names:
442
+ - left_gripper_mode
443
+ - right_gripper_mode
444
+ dtype: int32
445
+ shape:
446
+ - 2
447
+ gripper_mode_action:
448
+ names:
449
+ - left_gripper_mode
450
+ - right_gripper_mode
451
+ dtype: int32
452
+ shape:
453
+ - 2
454
+ gripper_activity_state:
455
+ names:
456
+ - left_gripper_activity
457
+ - right_gripper_activity
458
+ dtype: int32
459
+ shape:
460
+ - 2
461
+ gripper_activity_action:
462
+ names:
463
+ - left_gripper_activity
464
+ - right_gripper_activity
465
+ dtype: int32
466
+ shape:
467
+ - 2
468
+ gripper_open_scale_state:
469
+ names:
470
+ - left_gripper_open_scale
471
+ - right_gripper_open_scale
472
+ dtype: float32
473
+ shape:
474
+ - 2
475
+ gripper_open_scale_action:
476
+ names:
477
+ - left_gripper_open_scale
478
+ - right_gripper_open_scale
479
+ dtype: float32
480
+ shape:
481
+ - 2
482
+ authors:
483
+ contributed_by:
484
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
485
+ dataset_description: This dataset uses an extended format based on LeRobot and is
486
+ fully compatible with LeRobot.
487
+ homepage: https://flagopen.github.io/RoboCOIN/
488
+ paper: https://arxiv.org/abs/2511.17441
489
+ repository: https://github.com/FlagOpen/RoboCOIN
490
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
491
+ us.
492
+ support_info: For technical support, please open an issue on our GitHub repository.
493
+ license_details: apache-2.0
494
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
495
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
496
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
497
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
498
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
499
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
500
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
501
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
502
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
503
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
504
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
505
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
506
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
507
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
508
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
509
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
510
+ additional_citations: 'If you use this dataset, please also consider citing:
511
+
512
+ LeRobot Framework: https://github.com/huggingface/lerobot
513
+
514
+ '
515
+ version_info: Initial Release
516
+ data_path: data/chunk-{id}/episode_{id}.parquet
517
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
518
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth.yaml ADDED
@@ -0,0 +1,528 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office & workspace
27
+ level2: office
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: deli_water-based_marker
41
+ level1: stationery
42
+ level2: deli_water-based_marker
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: notebook
47
+ level1: stationery
48
+ level2: notebook
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: mouse
53
+ level1: appliances
54
+ level2: mouse
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: mouse_pad
59
+ level1: appliances
60
+ level2: mouse_pad
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: black_table_cloths
65
+ level1: laboratory_supplies
66
+ level2: black_table_cloths
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - the left gripper organize the pen on the notebook then the right gripper organize
74
+ the mouse on the mouse pad.
75
+ sub_tasks:
76
+ - subtask: Right gripper
77
+ subtask_index: 0
78
+ - subtask: Pick up the mouse with right gripper
79
+ subtask_index: 1
80
+ - subtask: Pick up the marker pen with right gripper
81
+ subtask_index: 2
82
+ - subtask: Pick up the mouse with left gripper
83
+ subtask_index: 3
84
+ - subtask: End
85
+ subtask_index: 4
86
+ - subtask: Place the marker pen on the notebook with right gripper
87
+ subtask_index: 5
88
+ - subtask: Place the mouse on the mouse pad with left gripper
89
+ subtask_index: 6
90
+ - subtask: Place the marker pen on the notebook with left gripper
91
+ subtask_index: 7
92
+ - subtask: Left gripper
93
+ subtask_index: 8
94
+ - subtask: Pick up the marker pen with left gripper
95
+ subtask_index: 9
96
+ - subtask: Place the mouse on the mouse pad with right gripper
97
+ subtask_index: 10
98
+ - subtask: 'null'
99
+ subtask_index: 11
100
+ atomic_actions:
101
+ - grasp
102
+ - lift
103
+ - lower
104
+ robot_name:
105
+ - Agilex_Cobot_Magic
106
+ end_effector_type: two_finger_gripper
107
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
108
+ type information.
109
+ sensor_list:
110
+ - cam_head_rgb
111
+ - cam_left_wrist_rgb
112
+ - cam_right_wrist_rgb
113
+ came_info:
114
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
115
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
116
+ pix_fmt=yuv420p
117
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
118
+ pix_fmt=yuv420p
119
+ depth_enabled: false
120
+ coordinate_definition: right-hand-frame
121
+ joint_rotation_dim: radian
122
+ end_rotation_dim: radian
123
+ end_translation_dim: meter
124
+ annotations:
125
+ - eef_acc_mag_annotation.jsonl
126
+ - eef_direction_annotation.jsonl
127
+ - eef_velocity_annotation.jsonl
128
+ - gripper_activity_annotation.jsonl
129
+ - gripper_mode_annotation.jsonl
130
+ - scene_annotations.jsonl
131
+ - subtask_annotations.jsonl
132
+ statistics:
133
+ total_episodes: 30
134
+ total_frames: 20668
135
+ fps: 30
136
+ total_tasks: 12
137
+ total_videos: 90
138
+ total_chunks: 1
139
+ chunks_size: 1000
140
+ state_dim: 26
141
+ action_dim: 26
142
+ camera_views: 3
143
+ dataset_size: 513.70 MB
144
+ frame_num: 20668
145
+ dataset_size: 513.70 MB
146
+ data_structure: 'Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth_qced_hardlink/
147
+
148
+ |-- annotations
149
+
150
+ | |-- eef_acc_mag_annotation.jsonl
151
+
152
+ | |-- eef_direction_annotation.jsonl
153
+
154
+ | |-- eef_velocity_annotation.jsonl
155
+
156
+ | |-- gripper_activity_annotation.jsonl
157
+
158
+ | |-- gripper_mode_annotation.jsonl
159
+
160
+ | |-- scene_annotations.jsonl
161
+
162
+ | `-- subtask_annotations.jsonl
163
+
164
+ |-- data
165
+
166
+ | `-- chunk-000
167
+
168
+ | |-- episode_000000.parquet
169
+
170
+ | |-- episode_000001.parquet
171
+
172
+ | |-- episode_000002.parquet
173
+
174
+ | |-- episode_000003.parquet
175
+
176
+ | |-- episode_000004.parquet
177
+
178
+ | |-- episode_000005.parquet
179
+
180
+ | |-- episode_000006.parquet
181
+
182
+ | |-- episode_000007.parquet
183
+
184
+ | |-- episode_000008.parquet
185
+
186
+ | |-- episode_000009.parquet
187
+
188
+ | |-- episode_000010.parquet
189
+
190
+ | `-- episode_000011.parquet
191
+
192
+ | `-- ... (18 more entries)
193
+
194
+ |-- meta
195
+
196
+ | |-- episodes.jsonl
197
+
198
+ | |-- episodes_stats.jsonl
199
+
200
+ | |-- info.json
201
+
202
+ | `-- tasks.jsonl
203
+
204
+ |-- videos
205
+
206
+ | `-- chunk-000
207
+
208
+ | |-- observation.images.cam_head_rgb
209
+
210
+ | |-- observation.images.cam_left_wrist_rgb
211
+
212
+ | `-- observation.images.cam_right_wrist_rgb
213
+
214
+ |-- info.yaml
215
+
216
+ `-- README.md'
217
+ splits:
218
+ train: 0:29
219
+ features:
220
+ observation.images.cam_head_rgb:
221
+ dtype: video
222
+ shape:
223
+ - 480
224
+ - 640
225
+ - 3
226
+ names:
227
+ - height
228
+ - width
229
+ - channels
230
+ info:
231
+ video.height: 480
232
+ video.width: 640
233
+ video.codec: av1
234
+ video.pix_fmt: yuv420p
235
+ video.is_depth_map: false
236
+ video.fps: 30
237
+ video.channels: 3
238
+ has_audio: false
239
+ observation.images.cam_left_wrist_rgb:
240
+ dtype: video
241
+ shape:
242
+ - 480
243
+ - 640
244
+ - 3
245
+ names:
246
+ - height
247
+ - width
248
+ - channels
249
+ info:
250
+ video.height: 480
251
+ video.width: 640
252
+ video.codec: av1
253
+ video.pix_fmt: yuv420p
254
+ video.is_depth_map: false
255
+ video.fps: 30
256
+ video.channels: 3
257
+ has_audio: false
258
+ observation.images.cam_right_wrist_rgb:
259
+ dtype: video
260
+ shape:
261
+ - 480
262
+ - 640
263
+ - 3
264
+ names:
265
+ - height
266
+ - width
267
+ - channels
268
+ info:
269
+ video.height: 480
270
+ video.width: 640
271
+ video.codec: av1
272
+ video.pix_fmt: yuv420p
273
+ video.is_depth_map: false
274
+ video.fps: 30
275
+ video.channels: 3
276
+ has_audio: false
277
+ observation.state:
278
+ dtype: float32
279
+ shape:
280
+ - 26
281
+ names:
282
+ - left_arm_joint_1_rad
283
+ - left_arm_joint_2_rad
284
+ - left_arm_joint_3_rad
285
+ - left_arm_joint_4_rad
286
+ - left_arm_joint_5_rad
287
+ - left_arm_joint_6_rad
288
+ - left_gripper_open
289
+ - left_eef_pos_x_m
290
+ - left_eef_pos_y_m
291
+ - left_eef_pos_z_m
292
+ - left_eef_rot_euler_x_rad
293
+ - left_eef_rot_euler_y_rad
294
+ - left_eef_rot_euler_z_rad
295
+ - right_arm_joint_1_rad
296
+ - right_arm_joint_2_rad
297
+ - right_arm_joint_3_rad
298
+ - right_arm_joint_4_rad
299
+ - right_arm_joint_5_rad
300
+ - right_arm_joint_6_rad
301
+ - right_gripper_open
302
+ - right_eef_pos_x_m
303
+ - right_eef_pos_y_m
304
+ - right_eef_pos_z_m
305
+ - right_eef_rot_euler_x_rad
306
+ - right_eef_rot_euler_y_rad
307
+ - right_eef_rot_euler_z_rad
308
+ action:
309
+ dtype: float32
310
+ shape:
311
+ - 26
312
+ names:
313
+ - left_arm_joint_1_rad
314
+ - left_arm_joint_2_rad
315
+ - left_arm_joint_3_rad
316
+ - left_arm_joint_4_rad
317
+ - left_arm_joint_5_rad
318
+ - left_arm_joint_6_rad
319
+ - left_gripper_open
320
+ - left_eef_pos_x_m
321
+ - left_eef_pos_y_m
322
+ - left_eef_pos_z_m
323
+ - left_eef_rot_euler_x_rad
324
+ - left_eef_rot_euler_y_rad
325
+ - left_eef_rot_euler_z_rad
326
+ - right_arm_joint_1_rad
327
+ - right_arm_joint_2_rad
328
+ - right_arm_joint_3_rad
329
+ - right_arm_joint_4_rad
330
+ - right_arm_joint_5_rad
331
+ - right_arm_joint_6_rad
332
+ - right_gripper_open
333
+ - right_eef_pos_x_m
334
+ - right_eef_pos_y_m
335
+ - right_eef_pos_z_m
336
+ - right_eef_rot_euler_x_rad
337
+ - right_eef_rot_euler_y_rad
338
+ - right_eef_rot_euler_z_rad
339
+ timestamp:
340
+ dtype: float32
341
+ shape:
342
+ - 1
343
+ names: null
344
+ frame_index:
345
+ dtype: int64
346
+ shape:
347
+ - 1
348
+ names: null
349
+ episode_index:
350
+ dtype: int64
351
+ shape:
352
+ - 1
353
+ names: null
354
+ index:
355
+ dtype: int64
356
+ shape:
357
+ - 1
358
+ names: null
359
+ task_index:
360
+ dtype: int64
361
+ shape:
362
+ - 1
363
+ names: null
364
+ subtask_annotation:
365
+ names: null
366
+ dtype: int32
367
+ shape:
368
+ - 5
369
+ scene_annotation:
370
+ names: null
371
+ dtype: int32
372
+ shape:
373
+ - 1
374
+ eef_sim_pose_state:
375
+ names:
376
+ - left_eef_pos_x
377
+ - left_eef_pos_y
378
+ - left_eef_pos_z
379
+ - left_eef_rot_x
380
+ - left_eef_rot_y
381
+ - left_eef_rot_z
382
+ - right_eef_pos_x
383
+ - right_eef_pos_y
384
+ - right_eef_pos_z
385
+ - right_eef_rot_x
386
+ - right_eef_rot_y
387
+ - right_eef_rot_z
388
+ dtype: float32
389
+ shape:
390
+ - 12
391
+ eef_sim_pose_action:
392
+ names:
393
+ - left_eef_pos_x
394
+ - left_eef_pos_y
395
+ - left_eef_pos_z
396
+ - left_eef_rot_x
397
+ - left_eef_rot_y
398
+ - left_eef_rot_z
399
+ - right_eef_pos_x
400
+ - right_eef_pos_y
401
+ - right_eef_pos_z
402
+ - right_eef_rot_x
403
+ - right_eef_rot_y
404
+ - right_eef_rot_z
405
+ dtype: float32
406
+ shape:
407
+ - 12
408
+ eef_direction_state:
409
+ names:
410
+ - left_eef_direction
411
+ - right_eef_direction
412
+ dtype: int32
413
+ shape:
414
+ - 2
415
+ eef_direction_action:
416
+ names:
417
+ - left_eef_direction
418
+ - right_eef_direction
419
+ dtype: int32
420
+ shape:
421
+ - 2
422
+ eef_velocity_state:
423
+ names:
424
+ - left_eef_velocity
425
+ - right_eef_velocity
426
+ dtype: int32
427
+ shape:
428
+ - 2
429
+ eef_velocity_action:
430
+ names:
431
+ - left_eef_velocity
432
+ - right_eef_velocity
433
+ dtype: int32
434
+ shape:
435
+ - 2
436
+ eef_acc_mag_state:
437
+ names:
438
+ - left_eef_acc_mag
439
+ - right_eef_acc_mag
440
+ dtype: int32
441
+ shape:
442
+ - 2
443
+ eef_acc_mag_action:
444
+ names:
445
+ - left_eef_acc_mag
446
+ - right_eef_acc_mag
447
+ dtype: int32
448
+ shape:
449
+ - 2
450
+ gripper_mode_state:
451
+ names:
452
+ - left_gripper_mode
453
+ - right_gripper_mode
454
+ dtype: int32
455
+ shape:
456
+ - 2
457
+ gripper_mode_action:
458
+ names:
459
+ - left_gripper_mode
460
+ - right_gripper_mode
461
+ dtype: int32
462
+ shape:
463
+ - 2
464
+ gripper_activity_state:
465
+ names:
466
+ - left_gripper_activity
467
+ - right_gripper_activity
468
+ dtype: int32
469
+ shape:
470
+ - 2
471
+ gripper_activity_action:
472
+ names:
473
+ - left_gripper_activity
474
+ - right_gripper_activity
475
+ dtype: int32
476
+ shape:
477
+ - 2
478
+ gripper_open_scale_state:
479
+ names:
480
+ - left_gripper_open_scale
481
+ - right_gripper_open_scale
482
+ dtype: float32
483
+ shape:
484
+ - 2
485
+ gripper_open_scale_action:
486
+ names:
487
+ - left_gripper_open_scale
488
+ - right_gripper_open_scale
489
+ dtype: float32
490
+ shape:
491
+ - 2
492
+ authors:
493
+ contributed_by:
494
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
495
+ dataset_description: This dataset uses an extended format based on LeRobot and is
496
+ fully compatible with LeRobot.
497
+ homepage: https://flagopen.github.io/RoboCOIN/
498
+ paper: https://arxiv.org/abs/2511.17441
499
+ repository: https://github.com/FlagOpen/RoboCOIN
500
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
501
+ us.
502
+ support_info: For technical support, please open an issue on our GitHub repository.
503
+ license_details: apache-2.0
504
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
505
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
506
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
507
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
508
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
509
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
510
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
511
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
512
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
513
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
514
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
515
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
516
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
517
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
518
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
519
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
520
+ additional_citations: 'If you use this dataset, please also consider citing:
521
+
522
+ LeRobot Framework: https://github.com/huggingface/lerobot
523
+
524
+ '
525
+ version_info: Initial Release
526
+ data_path: data/chunk-{id}/episode_{id}.parquet
527
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
528
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_open_drawer_bottom.yaml ADDED
@@ -0,0 +1,508 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Agilex_Cobot_Magic_open_drawer_bottom
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: three_layer_transparent_drawer
41
+ level1: laboratory_supplies
42
+ level2: three_layer_transparent_drawer
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
+ - open the bottom drawer.
50
+ sub_tasks:
51
+ - subtask: end
52
+ subtask_index: 0
53
+ - subtask: Pull open the drawer with the left gripper
54
+ subtask_index: 1
55
+ - subtask: Abnormal
56
+ subtask_index: 2
57
+ - subtask: Grab the bottom drawer with the right gripper
58
+ subtask_index: 3
59
+ - subtask: Pull open the drawer with the right gripper
60
+ subtask_index: 4
61
+ - subtask: Grab the bottom drawer with the left gripper
62
+ subtask_index: 5
63
+ - subtask: 'null'
64
+ subtask_index: 6
65
+ atomic_actions:
66
+ - grasp
67
+ - pull
68
+ robot_name:
69
+ - Agilex_Cobot_Magic
70
+ end_effector_type: two_finger_gripper
71
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
72
+ type information.
73
+ sensor_list:
74
+ - cam_head_rgb
75
+ - cam_left_wrist_rgb
76
+ - cam_right_wrist_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
+ depth_enabled: false
84
+ coordinate_definition: right-hand-frame
85
+ joint_rotation_dim: radian
86
+ end_rotation_dim: radian
87
+ end_translation_dim: meter
88
+ annotations:
89
+ - eef_acc_mag_annotation.jsonl
90
+ - eef_direction_annotation.jsonl
91
+ - eef_velocity_annotation.jsonl
92
+ - gripper_activity_annotation.jsonl
93
+ - gripper_mode_annotation.jsonl
94
+ - scene_annotations.jsonl
95
+ - subtask_annotations.jsonl
96
+ statistics:
97
+ total_episodes: 50
98
+ total_frames: 18620
99
+ fps: 30
100
+ total_tasks: 7
101
+ total_videos: 150
102
+ total_chunks: 1
103
+ chunks_size: 1000
104
+ state_dim: 26
105
+ action_dim: 26
106
+ camera_views: 3
107
+ dataset_size: 182.16 MB
108
+ frame_num: 18620
109
+ dataset_size: 182.16 MB
110
+ data_structure: 'Agilex_Cobot_Magic_open_drawer_bottom_qced_hardlink/
111
+
112
+ |-- annotations
113
+
114
+ | |-- eef_acc_mag_annotation.jsonl
115
+
116
+ | |-- eef_direction_annotation.jsonl
117
+
118
+ | |-- eef_velocity_annotation.jsonl
119
+
120
+ | |-- gripper_activity_annotation.jsonl
121
+
122
+ | |-- gripper_mode_annotation.jsonl
123
+
124
+ | |-- scene_annotations.jsonl
125
+
126
+ | `-- subtask_annotations.jsonl
127
+
128
+ |-- backup
129
+
130
+ | |-- data
131
+
132
+ | | `-- chunk-000
133
+
134
+ | `-- meta
135
+
136
+ | |-- episodes.jsonl
137
+
138
+ | |-- episodes_stats.jsonl
139
+
140
+ | |-- info.json
141
+
142
+ | `-- tasks.jsonl
143
+
144
+ |-- data
145
+
146
+ | `-- chunk-000
147
+
148
+ | |-- episode_000000.parquet
149
+
150
+ | |-- episode_000001.parquet
151
+
152
+ | |-- episode_000002.parquet
153
+
154
+ | |-- episode_000003.parquet
155
+
156
+ | |-- episode_000004.parquet
157
+
158
+ | |-- episode_000005.parquet
159
+
160
+ | |-- episode_000006.parquet
161
+
162
+ | |-- episode_000007.parquet
163
+
164
+ | |-- episode_000008.parquet
165
+
166
+ | |-- episode_000009.parquet
167
+
168
+ | |-- episode_000010.parquet
169
+
170
+ | `-- episode_000011.parquet
171
+
172
+ | `-- ... (38 more entries)
173
+
174
+ |-- meta
175
+
176
+ | |-- episodes.jsonl
177
+
178
+ | |-- episodes_stats.jsonl
179
+
180
+ | |-- info.json
181
+
182
+ | `-- tasks.jsonl
183
+
184
+ |-- videos
185
+
186
+ | `-- chunk-000
187
+
188
+ | |-- observation.images.cam_head_rgb
189
+
190
+ | |-- observation.images.cam_left_wrist_rgb
191
+
192
+ | `-- observation.images.cam_right_wrist_rgb
193
+
194
+ |-- info.yaml
195
+
196
+ `-- README.md'
197
+ splits:
198
+ train: 0:49
199
+ features:
200
+ observation.images.cam_head_rgb:
201
+ dtype: video
202
+ shape:
203
+ - 480
204
+ - 640
205
+ - 3
206
+ names:
207
+ - height
208
+ - width
209
+ - channels
210
+ info:
211
+ video.height: 480
212
+ video.width: 640
213
+ video.codec: av1
214
+ video.pix_fmt: yuv420p
215
+ video.is_depth_map: false
216
+ video.fps: 30
217
+ video.channels: 3
218
+ has_audio: false
219
+ observation.images.cam_left_wrist_rgb:
220
+ dtype: video
221
+ shape:
222
+ - 480
223
+ - 640
224
+ - 3
225
+ names:
226
+ - height
227
+ - width
228
+ - channels
229
+ info:
230
+ video.height: 480
231
+ video.width: 640
232
+ video.codec: av1
233
+ video.pix_fmt: yuv420p
234
+ video.is_depth_map: false
235
+ video.fps: 30
236
+ video.channels: 3
237
+ has_audio: false
238
+ observation.images.cam_right_wrist_rgb:
239
+ dtype: video
240
+ shape:
241
+ - 480
242
+ - 640
243
+ - 3
244
+ names:
245
+ - height
246
+ - width
247
+ - channels
248
+ info:
249
+ video.height: 480
250
+ video.width: 640
251
+ video.codec: av1
252
+ video.pix_fmt: yuv420p
253
+ video.is_depth_map: false
254
+ video.fps: 30
255
+ video.channels: 3
256
+ has_audio: false
257
+ observation.state:
258
+ dtype: float32
259
+ shape:
260
+ - 26
261
+ names:
262
+ - left_arm_joint_1_rad
263
+ - left_arm_joint_2_rad
264
+ - left_arm_joint_3_rad
265
+ - left_arm_joint_4_rad
266
+ - left_arm_joint_5_rad
267
+ - left_arm_joint_6_rad
268
+ - left_gripper_open
269
+ - left_eef_pos_x_m
270
+ - left_eef_pos_y_m
271
+ - left_eef_pos_z_m
272
+ - left_eef_rot_euler_x_rad
273
+ - left_eef_rot_euler_y_rad
274
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
282
+ - right_eef_pos_x_m
283
+ - right_eef_pos_y_m
284
+ - right_eef_pos_z_m
285
+ - right_eef_rot_euler_x_rad
286
+ - right_eef_rot_euler_y_rad
287
+ - right_eef_rot_euler_z_rad
288
+ action:
289
+ dtype: float32
290
+ shape:
291
+ - 26
292
+ names:
293
+ - left_arm_joint_1_rad
294
+ - left_arm_joint_2_rad
295
+ - left_arm_joint_3_rad
296
+ - left_arm_joint_4_rad
297
+ - left_arm_joint_5_rad
298
+ - left_arm_joint_6_rad
299
+ - left_gripper_open
300
+ - left_eef_pos_x_m
301
+ - left_eef_pos_y_m
302
+ - left_eef_pos_z_m
303
+ - left_eef_rot_euler_x_rad
304
+ - left_eef_rot_euler_y_rad
305
+ - left_eef_rot_euler_z_rad
306
+ - right_arm_joint_1_rad
307
+ - right_arm_joint_2_rad
308
+ - right_arm_joint_3_rad
309
+ - right_arm_joint_4_rad
310
+ - right_arm_joint_5_rad
311
+ - right_arm_joint_6_rad
312
+ - right_gripper_open
313
+ - right_eef_pos_x_m
314
+ - right_eef_pos_y_m
315
+ - right_eef_pos_z_m
316
+ - right_eef_rot_euler_x_rad
317
+ - right_eef_rot_euler_y_rad
318
+ - right_eef_rot_euler_z_rad
319
+ timestamp:
320
+ dtype: float32
321
+ shape:
322
+ - 1
323
+ names: null
324
+ frame_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ episode_index:
330
+ dtype: int64
331
+ shape:
332
+ - 1
333
+ names: null
334
+ index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ task_index:
340
+ dtype: int64
341
+ shape:
342
+ - 1
343
+ names: null
344
+ subtask_annotation:
345
+ names: null
346
+ dtype: int32
347
+ shape:
348
+ - 5
349
+ scene_annotation:
350
+ names: null
351
+ dtype: int32
352
+ shape:
353
+ - 1
354
+ eef_sim_pose_state:
355
+ names:
356
+ - left_eef_pos_x
357
+ - left_eef_pos_y
358
+ - left_eef_pos_z
359
+ - left_eef_rot_x
360
+ - left_eef_rot_y
361
+ - left_eef_rot_z
362
+ - right_eef_pos_x
363
+ - right_eef_pos_y
364
+ - right_eef_pos_z
365
+ - right_eef_rot_x
366
+ - right_eef_rot_y
367
+ - right_eef_rot_z
368
+ dtype: float32
369
+ shape:
370
+ - 12
371
+ eef_sim_pose_action:
372
+ names:
373
+ - left_eef_pos_x
374
+ - left_eef_pos_y
375
+ - left_eef_pos_z
376
+ - left_eef_rot_x
377
+ - left_eef_rot_y
378
+ - left_eef_rot_z
379
+ - right_eef_pos_x
380
+ - right_eef_pos_y
381
+ - right_eef_pos_z
382
+ - right_eef_rot_x
383
+ - right_eef_rot_y
384
+ - right_eef_rot_z
385
+ dtype: float32
386
+ shape:
387
+ - 12
388
+ eef_direction_state:
389
+ names:
390
+ - left_eef_direction
391
+ - right_eef_direction
392
+ dtype: int32
393
+ shape:
394
+ - 2
395
+ eef_direction_action:
396
+ names:
397
+ - left_eef_direction
398
+ - right_eef_direction
399
+ dtype: int32
400
+ shape:
401
+ - 2
402
+ eef_velocity_state:
403
+ names:
404
+ - left_eef_velocity
405
+ - right_eef_velocity
406
+ dtype: int32
407
+ shape:
408
+ - 2
409
+ eef_velocity_action:
410
+ names:
411
+ - left_eef_velocity
412
+ - right_eef_velocity
413
+ dtype: int32
414
+ shape:
415
+ - 2
416
+ eef_acc_mag_state:
417
+ names:
418
+ - left_eef_acc_mag
419
+ - right_eef_acc_mag
420
+ dtype: int32
421
+ shape:
422
+ - 2
423
+ eef_acc_mag_action:
424
+ names:
425
+ - left_eef_acc_mag
426
+ - right_eef_acc_mag
427
+ dtype: int32
428
+ shape:
429
+ - 2
430
+ gripper_mode_state:
431
+ names:
432
+ - left_gripper_mode
433
+ - right_gripper_mode
434
+ dtype: int32
435
+ shape:
436
+ - 2
437
+ gripper_mode_action:
438
+ names:
439
+ - left_gripper_mode
440
+ - right_gripper_mode
441
+ dtype: int32
442
+ shape:
443
+ - 2
444
+ gripper_activity_state:
445
+ names:
446
+ - left_gripper_activity
447
+ - right_gripper_activity
448
+ dtype: int32
449
+ shape:
450
+ - 2
451
+ gripper_activity_action:
452
+ names:
453
+ - left_gripper_activity
454
+ - right_gripper_activity
455
+ dtype: int32
456
+ shape:
457
+ - 2
458
+ gripper_open_scale_state:
459
+ names:
460
+ - left_gripper_open_scale
461
+ - right_gripper_open_scale
462
+ dtype: float32
463
+ shape:
464
+ - 2
465
+ gripper_open_scale_action:
466
+ names:
467
+ - left_gripper_open_scale
468
+ - right_gripper_open_scale
469
+ dtype: float32
470
+ shape:
471
+ - 2
472
+ authors:
473
+ contributed_by:
474
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
475
+ dataset_description: This dataset uses an extended format based on LeRobot and is
476
+ fully compatible with LeRobot.
477
+ homepage: https://flagopen.github.io/RoboCOIN/
478
+ paper: https://arxiv.org/abs/2511.17441
479
+ repository: https://github.com/FlagOpen/RoboCOIN
480
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
481
+ us.
482
+ support_info: For technical support, please open an issue on our GitHub repository.
483
+ license_details: apache-2.0
484
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
485
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
486
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
487
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
488
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
489
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
490
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
491
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
492
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
493
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
494
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
495
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
496
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
497
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
498
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
499
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
500
+ additional_citations: 'If you use this dataset, please also consider citing:
501
+
502
+ LeRobot Framework: https://github.com/huggingface/lerobot
503
+
504
+ '
505
+ version_info: Initial Release
506
+ data_path: data/chunk-{id}/episode_{id}.parquet
507
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
508
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_storage_bread_basket.yaml ADDED
@@ -0,0 +1,499 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Agilex_Cobot_Magic_storage_bread_basket
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: small_yellow _basket
41
+ level1: home_storage
42
+ level2: small_yellow _basket
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: waffle
47
+ level1: food
48
+ level2: waffle
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 bakery in the basket.
56
+ sub_tasks:
57
+ - subtask: Abnormal
58
+ subtask_index: 0
59
+ - subtask: Grasp the bread with right gripper
60
+ subtask_index: 1
61
+ - subtask: End
62
+ subtask_index: 2
63
+ - subtask: Grasp the bread with left gripper
64
+ subtask_index: 3
65
+ - subtask: Place the bread in the basket with right gripper
66
+ subtask_index: 4
67
+ - subtask: Place the bread in the basket with left gripper
68
+ subtask_index: 5
69
+ - subtask: 'null'
70
+ subtask_index: 6
71
+ atomic_actions:
72
+ - grasp
73
+ - lift
74
+ - lower
75
+ robot_name:
76
+ - Agilex_Cobot_Magic
77
+ end_effector_type: two_finger_gripper
78
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
79
+ type information.
80
+ sensor_list:
81
+ - cam_head_rgb
82
+ - cam_left_wrist_rgb
83
+ - cam_right_wrist_rgb
84
+ came_info:
85
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
86
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
87
+ pix_fmt=yuv420p
88
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ depth_enabled: false
91
+ coordinate_definition: right-hand-frame
92
+ joint_rotation_dim: radian
93
+ end_rotation_dim: radian
94
+ end_translation_dim: meter
95
+ annotations:
96
+ - eef_acc_mag_annotation.jsonl
97
+ - eef_direction_annotation.jsonl
98
+ - eef_velocity_annotation.jsonl
99
+ - gripper_activity_annotation.jsonl
100
+ - gripper_mode_annotation.jsonl
101
+ - scene_annotations.jsonl
102
+ - subtask_annotations.jsonl
103
+ statistics:
104
+ total_episodes: 98
105
+ total_frames: 32042
106
+ fps: 30
107
+ total_tasks: 7
108
+ total_videos: 294
109
+ total_chunks: 1
110
+ chunks_size: 1000
111
+ state_dim: 26
112
+ action_dim: 26
113
+ camera_views: 3
114
+ dataset_size: 354.51 MB
115
+ frame_num: 32042
116
+ dataset_size: 354.51 MB
117
+ data_structure: 'Agilex_Cobot_Magic_storage_bread_basket_qced_hardlink/
118
+
119
+ |-- annotations
120
+
121
+ | |-- eef_acc_mag_annotation.jsonl
122
+
123
+ | |-- eef_direction_annotation.jsonl
124
+
125
+ | |-- eef_velocity_annotation.jsonl
126
+
127
+ | |-- gripper_activity_annotation.jsonl
128
+
129
+ | |-- gripper_mode_annotation.jsonl
130
+
131
+ | |-- scene_annotations.jsonl
132
+
133
+ | `-- subtask_annotations.jsonl
134
+
135
+ |-- data
136
+
137
+ | `-- chunk-000
138
+
139
+ | |-- episode_000000.parquet
140
+
141
+ | |-- episode_000001.parquet
142
+
143
+ | |-- episode_000002.parquet
144
+
145
+ | |-- episode_000003.parquet
146
+
147
+ | |-- episode_000004.parquet
148
+
149
+ | |-- episode_000005.parquet
150
+
151
+ | |-- episode_000006.parquet
152
+
153
+ | |-- episode_000007.parquet
154
+
155
+ | |-- episode_000008.parquet
156
+
157
+ | |-- episode_000009.parquet
158
+
159
+ | |-- episode_000010.parquet
160
+
161
+ | `-- episode_000011.parquet
162
+
163
+ | `-- ... (86 more entries)
164
+
165
+ |-- meta
166
+
167
+ | |-- episodes.jsonl
168
+
169
+ | |-- episodes_stats.jsonl
170
+
171
+ | |-- info.json
172
+
173
+ | `-- tasks.jsonl
174
+
175
+ |-- videos
176
+
177
+ | `-- chunk-000
178
+
179
+ | |-- observation.images.cam_head_rgb
180
+
181
+ | |-- observation.images.cam_left_wrist_rgb
182
+
183
+ | `-- observation.images.cam_right_wrist_rgb
184
+
185
+ |-- info.yaml
186
+
187
+ `-- README.md'
188
+ splits:
189
+ train: 0:97
190
+ features:
191
+ observation.images.cam_head_rgb:
192
+ dtype: video
193
+ shape:
194
+ - 480
195
+ - 640
196
+ - 3
197
+ names:
198
+ - height
199
+ - width
200
+ - channels
201
+ info:
202
+ video.height: 480
203
+ video.width: 640
204
+ video.codec: av1
205
+ video.pix_fmt: yuv420p
206
+ video.is_depth_map: false
207
+ video.fps: 30
208
+ video.channels: 3
209
+ has_audio: false
210
+ observation.images.cam_left_wrist_rgb:
211
+ dtype: video
212
+ shape:
213
+ - 480
214
+ - 640
215
+ - 3
216
+ names:
217
+ - height
218
+ - width
219
+ - channels
220
+ info:
221
+ video.height: 480
222
+ video.width: 640
223
+ video.codec: av1
224
+ video.pix_fmt: yuv420p
225
+ video.is_depth_map: false
226
+ video.fps: 30
227
+ video.channels: 3
228
+ has_audio: false
229
+ observation.images.cam_right_wrist_rgb:
230
+ dtype: video
231
+ shape:
232
+ - 480
233
+ - 640
234
+ - 3
235
+ names:
236
+ - height
237
+ - width
238
+ - channels
239
+ info:
240
+ video.height: 480
241
+ video.width: 640
242
+ video.codec: av1
243
+ video.pix_fmt: yuv420p
244
+ video.is_depth_map: false
245
+ video.fps: 30
246
+ video.channels: 3
247
+ has_audio: false
248
+ observation.state:
249
+ dtype: float32
250
+ shape:
251
+ - 26
252
+ names:
253
+ - left_arm_joint_1_rad
254
+ - left_arm_joint_2_rad
255
+ - left_arm_joint_3_rad
256
+ - left_arm_joint_4_rad
257
+ - left_arm_joint_5_rad
258
+ - left_arm_joint_6_rad
259
+ - left_gripper_open
260
+ - left_eef_pos_x_m
261
+ - left_eef_pos_y_m
262
+ - left_eef_pos_z_m
263
+ - left_eef_rot_euler_x_rad
264
+ - left_eef_rot_euler_y_rad
265
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
273
+ - right_eef_pos_x_m
274
+ - right_eef_pos_y_m
275
+ - right_eef_pos_z_m
276
+ - right_eef_rot_euler_x_rad
277
+ - right_eef_rot_euler_y_rad
278
+ - right_eef_rot_euler_z_rad
279
+ action:
280
+ dtype: float32
281
+ shape:
282
+ - 26
283
+ names:
284
+ - left_arm_joint_1_rad
285
+ - left_arm_joint_2_rad
286
+ - left_arm_joint_3_rad
287
+ - left_arm_joint_4_rad
288
+ - left_arm_joint_5_rad
289
+ - left_arm_joint_6_rad
290
+ - left_gripper_open
291
+ - left_eef_pos_x_m
292
+ - left_eef_pos_y_m
293
+ - left_eef_pos_z_m
294
+ - left_eef_rot_euler_x_rad
295
+ - left_eef_rot_euler_y_rad
296
+ - left_eef_rot_euler_z_rad
297
+ - right_arm_joint_1_rad
298
+ - right_arm_joint_2_rad
299
+ - right_arm_joint_3_rad
300
+ - right_arm_joint_4_rad
301
+ - right_arm_joint_5_rad
302
+ - right_arm_joint_6_rad
303
+ - right_gripper_open
304
+ - right_eef_pos_x_m
305
+ - right_eef_pos_y_m
306
+ - right_eef_pos_z_m
307
+ - right_eef_rot_euler_x_rad
308
+ - right_eef_rot_euler_y_rad
309
+ - right_eef_rot_euler_z_rad
310
+ timestamp:
311
+ dtype: float32
312
+ shape:
313
+ - 1
314
+ names: null
315
+ frame_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ episode_index:
321
+ dtype: int64
322
+ shape:
323
+ - 1
324
+ names: null
325
+ index:
326
+ dtype: int64
327
+ shape:
328
+ - 1
329
+ names: null
330
+ task_index:
331
+ dtype: int64
332
+ shape:
333
+ - 1
334
+ names: null
335
+ subtask_annotation:
336
+ names: null
337
+ shape:
338
+ - 5
339
+ dtype: int32
340
+ scene_annotation:
341
+ names: null
342
+ shape:
343
+ - 1
344
+ dtype: int32
345
+ eef_sim_pose_state:
346
+ names:
347
+ - left_eef_pos_x
348
+ - left_eef_pos_y
349
+ - left_eef_pos_z
350
+ - left_eef_rot_x
351
+ - left_eef_rot_y
352
+ - left_eef_rot_z
353
+ - right_eef_pos_x
354
+ - right_eef_pos_y
355
+ - right_eef_pos_z
356
+ - right_eef_rot_x
357
+ - right_eef_rot_y
358
+ - right_eef_rot_z
359
+ shape:
360
+ - 12
361
+ dtype: float32
362
+ eef_sim_pose_action:
363
+ names:
364
+ - left_eef_pos_x
365
+ - left_eef_pos_y
366
+ - left_eef_pos_z
367
+ - left_eef_rot_x
368
+ - left_eef_rot_y
369
+ - left_eef_rot_z
370
+ - right_eef_pos_x
371
+ - right_eef_pos_y
372
+ - right_eef_pos_z
373
+ - right_eef_rot_x
374
+ - right_eef_rot_y
375
+ - right_eef_rot_z
376
+ shape:
377
+ - 12
378
+ dtype: float32
379
+ eef_direction_state:
380
+ names:
381
+ - left_eef_direction
382
+ - right_eef_direction
383
+ shape:
384
+ - 2
385
+ dtype: int32
386
+ eef_direction_action:
387
+ names:
388
+ - left_eef_direction
389
+ - right_eef_direction
390
+ shape:
391
+ - 2
392
+ dtype: int32
393
+ eef_velocity_state:
394
+ names:
395
+ - left_eef_velocity
396
+ - right_eef_velocity
397
+ shape:
398
+ - 2
399
+ dtype: int32
400
+ eef_velocity_action:
401
+ names:
402
+ - left_eef_velocity
403
+ - right_eef_velocity
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ eef_acc_mag_state:
408
+ names:
409
+ - left_eef_acc_mag
410
+ - right_eef_acc_mag
411
+ shape:
412
+ - 2
413
+ dtype: int32
414
+ eef_acc_mag_action:
415
+ names:
416
+ - left_eef_acc_mag
417
+ - right_eef_acc_mag
418
+ shape:
419
+ - 2
420
+ dtype: int32
421
+ gripper_mode_state:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ shape:
426
+ - 2
427
+ dtype: int32
428
+ gripper_mode_action:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ gripper_activity_state:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ gripper_activity_action:
443
+ names:
444
+ - left_gripper_activity
445
+ - right_gripper_activity
446
+ shape:
447
+ - 2
448
+ dtype: int32
449
+ gripper_open_scale_state:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ dtype: float32
454
+ shape:
455
+ - 2
456
+ gripper_open_scale_action:
457
+ names:
458
+ - left_gripper_open_scale
459
+ - right_gripper_open_scale
460
+ dtype: float32
461
+ shape:
462
+ - 2
463
+ authors:
464
+ contributed_by:
465
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
466
+ dataset_description: This dataset uses an extended format based on LeRobot and is
467
+ fully compatible with LeRobot.
468
+ homepage: https://flagopen.github.io/RoboCOIN/
469
+ paper: https://arxiv.org/abs/2511.17441
470
+ repository: https://github.com/FlagOpen/RoboCOIN
471
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
472
+ us.
473
+ support_info: For technical support, please open an issue on our GitHub repository.
474
+ license_details: apache-2.0
475
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
476
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
477
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
478
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
479
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
480
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
481
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
482
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
483
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
484
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
485
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
486
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
487
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
488
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
489
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
490
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
491
+ additional_citations: 'If you use this dataset, please also consider citing:
492
+
493
+ LeRobot Framework: https://github.com/huggingface/lerobot
494
+
495
+ '
496
+ version_info: Initial Release
497
+ data_path: data/chunk-{id}/episode_{id}.parquet
498
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
499
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_storage_object_closest.yaml ADDED
@@ -0,0 +1,561 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Agilex_Cobot_Magic_storage_object_closest
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: bathroom
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: brown_basket
41
+ level1: container
42
+ level2: brown_basket
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: mentholatum_facial_cleanser
47
+ level1: daily_necessities
48
+ level2: mentholatum_facial_cleanser
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: toothpaste
53
+ level1: daily_necessities
54
+ level2: toothpaste
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: cleanser
59
+ level1: daily_necessities
60
+ level2: cleanser
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: blue_moon_laundry_detergent
65
+ level1: daily_necessities
66
+ level2: blue_moon_laundry_detergent
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: shampoo
71
+ level1: daily_necessities
72
+ level2: shampoo
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
77
+ the operation type information.
78
+ task_instruction:
79
+ - Place the object closest to the toothpaste in the basket.
80
+ sub_tasks:
81
+ - subtask: Grasp the shampoo with left gripper
82
+ subtask_index: 0
83
+ - subtask: Grasp the soft facial cleanser with right gripper
84
+ subtask_index: 1
85
+ - subtask: Place the pink laundry detergent in the basket with right gripper
86
+ subtask_index: 2
87
+ - subtask: Place the cleaning agent in the basket with left gripper
88
+ subtask_index: 3
89
+ - subtask: Place the shampoo in the basket with right gripper
90
+ subtask_index: 4
91
+ - subtask: Grasp the shampoo with right gripper
92
+ subtask_index: 5
93
+ - subtask: Place the pink laundry detergent in the basket with left gripper
94
+ subtask_index: 6
95
+ - subtask: Place the soft facial cleanser in the basket with right gripper
96
+ subtask_index: 7
97
+ - subtask: Grasp the pink laundry detergent with right gripper
98
+ subtask_index: 8
99
+ - subtask: Grasp the soft facial cleanser with left gripper
100
+ subtask_index: 9
101
+ - subtask: Place the cleaning agent in the basket with right gripper
102
+ subtask_index: 10
103
+ - subtask: Place the soft facial cleanser in the basket with left gripper
104
+ subtask_index: 11
105
+ - subtask: Grasp the pink laundry detergent with left gripper
106
+ subtask_index: 12
107
+ - subtask: Place the shampoo in the basket with left gripper
108
+ subtask_index: 13
109
+ - subtask: End
110
+ subtask_index: 14
111
+ - subtask: Grasp the cleaning agent with right gripper
112
+ subtask_index: 15
113
+ - subtask: Grasp the cleaning agent with left gripper
114
+ subtask_index: 16
115
+ - subtask: 'null'
116
+ subtask_index: 17
117
+ atomic_actions:
118
+ - grasp
119
+ - lift
120
+ - lower
121
+ robot_name:
122
+ - Agilex_Cobot_Magic
123
+ end_effector_type: two_finger_gripper
124
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
125
+ type information.
126
+ sensor_list:
127
+ - cam_head_rgb
128
+ - cam_left_wrist_rgb
129
+ - cam_right_wrist_rgb
130
+ came_info:
131
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
132
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
133
+ pix_fmt=yuv420p
134
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
135
+ pix_fmt=yuv420p
136
+ depth_enabled: false
137
+ coordinate_definition: right-hand-frame
138
+ joint_rotation_dim: radian
139
+ end_rotation_dim: radian
140
+ end_translation_dim: meter
141
+ annotations:
142
+ - eef_acc_mag_annotation.jsonl
143
+ - eef_direction_annotation.jsonl
144
+ - eef_velocity_annotation.jsonl
145
+ - gripper_activity_annotation.jsonl
146
+ - gripper_mode_annotation.jsonl
147
+ - scene_annotations.jsonl
148
+ - subtask_annotations.jsonl
149
+ statistics:
150
+ total_episodes: 100
151
+ total_frames: 29779
152
+ fps: 30
153
+ total_tasks: 18
154
+ total_videos: 300
155
+ total_chunks: 1
156
+ chunks_size: 1000
157
+ state_dim: 26
158
+ action_dim: 26
159
+ camera_views: 3
160
+ dataset_size: 506.53 MB
161
+ frame_num: 29779
162
+ dataset_size: 506.53 MB
163
+ data_structure: 'Agilex_Cobot_Magic_storage_object_closest_qced_hardlink/
164
+
165
+ |-- annotations
166
+
167
+ | |-- eef_acc_mag_annotation.jsonl
168
+
169
+ | |-- eef_direction_annotation.jsonl
170
+
171
+ | |-- eef_velocity_annotation.jsonl
172
+
173
+ | |-- gripper_activity_annotation.jsonl
174
+
175
+ | |-- gripper_mode_annotation.jsonl
176
+
177
+ | |-- scene_annotations.jsonl
178
+
179
+ | `-- subtask_annotations.jsonl
180
+
181
+ |-- backup
182
+
183
+ | |-- data
184
+
185
+ | | `-- chunk-000
186
+
187
+ | `-- meta
188
+
189
+ | |-- episodes.jsonl
190
+
191
+ | |-- episodes_stats.jsonl
192
+
193
+ | |-- info.json
194
+
195
+ | `-- tasks.jsonl
196
+
197
+ |-- data
198
+
199
+ | `-- chunk-000
200
+
201
+ | |-- episode_000000.parquet
202
+
203
+ | |-- episode_000001.parquet
204
+
205
+ | |-- episode_000002.parquet
206
+
207
+ | |-- episode_000003.parquet
208
+
209
+ | |-- episode_000004.parquet
210
+
211
+ | |-- episode_000005.parquet
212
+
213
+ | |-- episode_000006.parquet
214
+
215
+ | |-- episode_000007.parquet
216
+
217
+ | |-- episode_000008.parquet
218
+
219
+ | |-- episode_000009.parquet
220
+
221
+ | |-- episode_000010.parquet
222
+
223
+ | `-- episode_000011.parquet
224
+
225
+ | `-- ... (88 more entries)
226
+
227
+ |-- meta
228
+
229
+ | |-- episodes.jsonl
230
+
231
+ | |-- episodes_stats.jsonl
232
+
233
+ | |-- info.json
234
+
235
+ | `-- tasks.jsonl
236
+
237
+ |-- videos
238
+
239
+ | `-- chunk-000
240
+
241
+ | |-- observation.images.cam_head_rgb
242
+
243
+ | |-- observation.images.cam_left_wrist_rgb
244
+
245
+ | `-- observation.images.cam_right_wrist_rgb
246
+
247
+ |-- info.yaml
248
+
249
+ `-- README.md'
250
+ splits:
251
+ train: 0:99
252
+ features:
253
+ observation.images.cam_head_rgb:
254
+ dtype: video
255
+ shape:
256
+ - 480
257
+ - 640
258
+ - 3
259
+ names:
260
+ - height
261
+ - width
262
+ - channels
263
+ info:
264
+ video.height: 480
265
+ video.width: 640
266
+ video.codec: av1
267
+ video.pix_fmt: yuv420p
268
+ video.is_depth_map: false
269
+ video.fps: 30
270
+ video.channels: 3
271
+ has_audio: false
272
+ observation.images.cam_left_wrist_rgb:
273
+ dtype: video
274
+ shape:
275
+ - 480
276
+ - 640
277
+ - 3
278
+ names:
279
+ - height
280
+ - width
281
+ - channels
282
+ info:
283
+ video.height: 480
284
+ video.width: 640
285
+ video.codec: av1
286
+ video.pix_fmt: yuv420p
287
+ video.is_depth_map: false
288
+ video.fps: 30
289
+ video.channels: 3
290
+ has_audio: false
291
+ observation.images.cam_right_wrist_rgb:
292
+ dtype: video
293
+ shape:
294
+ - 480
295
+ - 640
296
+ - 3
297
+ names:
298
+ - height
299
+ - width
300
+ - channels
301
+ info:
302
+ video.height: 480
303
+ video.width: 640
304
+ video.codec: av1
305
+ video.pix_fmt: yuv420p
306
+ video.is_depth_map: false
307
+ video.fps: 30
308
+ video.channels: 3
309
+ has_audio: false
310
+ observation.state:
311
+ dtype: float32
312
+ shape:
313
+ - 26
314
+ names:
315
+ - left_arm_joint_1_rad
316
+ - left_arm_joint_2_rad
317
+ - left_arm_joint_3_rad
318
+ - left_arm_joint_4_rad
319
+ - left_arm_joint_5_rad
320
+ - left_arm_joint_6_rad
321
+ - left_gripper_open
322
+ - left_eef_pos_x_m
323
+ - left_eef_pos_y_m
324
+ - left_eef_pos_z_m
325
+ - left_eef_rot_euler_x_rad
326
+ - left_eef_rot_euler_y_rad
327
+ - left_eef_rot_euler_z_rad
328
+ - right_arm_joint_1_rad
329
+ - right_arm_joint_2_rad
330
+ - right_arm_joint_3_rad
331
+ - right_arm_joint_4_rad
332
+ - right_arm_joint_5_rad
333
+ - right_arm_joint_6_rad
334
+ - right_gripper_open
335
+ - right_eef_pos_x_m
336
+ - right_eef_pos_y_m
337
+ - right_eef_pos_z_m
338
+ - right_eef_rot_euler_x_rad
339
+ - right_eef_rot_euler_y_rad
340
+ - right_eef_rot_euler_z_rad
341
+ action:
342
+ dtype: float32
343
+ shape:
344
+ - 26
345
+ names:
346
+ - left_arm_joint_1_rad
347
+ - left_arm_joint_2_rad
348
+ - left_arm_joint_3_rad
349
+ - left_arm_joint_4_rad
350
+ - left_arm_joint_5_rad
351
+ - left_arm_joint_6_rad
352
+ - left_gripper_open
353
+ - left_eef_pos_x_m
354
+ - left_eef_pos_y_m
355
+ - left_eef_pos_z_m
356
+ - left_eef_rot_euler_x_rad
357
+ - left_eef_rot_euler_y_rad
358
+ - left_eef_rot_euler_z_rad
359
+ - right_arm_joint_1_rad
360
+ - right_arm_joint_2_rad
361
+ - right_arm_joint_3_rad
362
+ - right_arm_joint_4_rad
363
+ - right_arm_joint_5_rad
364
+ - right_arm_joint_6_rad
365
+ - right_gripper_open
366
+ - right_eef_pos_x_m
367
+ - right_eef_pos_y_m
368
+ - right_eef_pos_z_m
369
+ - right_eef_rot_euler_x_rad
370
+ - right_eef_rot_euler_y_rad
371
+ - right_eef_rot_euler_z_rad
372
+ timestamp:
373
+ dtype: float32
374
+ shape:
375
+ - 1
376
+ names: null
377
+ frame_index:
378
+ dtype: int64
379
+ shape:
380
+ - 1
381
+ names: null
382
+ episode_index:
383
+ dtype: int64
384
+ shape:
385
+ - 1
386
+ names: null
387
+ index:
388
+ dtype: int64
389
+ shape:
390
+ - 1
391
+ names: null
392
+ task_index:
393
+ dtype: int64
394
+ shape:
395
+ - 1
396
+ names: null
397
+ subtask_annotation:
398
+ names: null
399
+ dtype: int32
400
+ shape:
401
+ - 5
402
+ scene_annotation:
403
+ names: null
404
+ dtype: int32
405
+ shape:
406
+ - 1
407
+ eef_sim_pose_state:
408
+ names:
409
+ - left_eef_pos_x
410
+ - left_eef_pos_y
411
+ - left_eef_pos_z
412
+ - left_eef_rot_x
413
+ - left_eef_rot_y
414
+ - left_eef_rot_z
415
+ - right_eef_pos_x
416
+ - right_eef_pos_y
417
+ - right_eef_pos_z
418
+ - right_eef_rot_x
419
+ - right_eef_rot_y
420
+ - right_eef_rot_z
421
+ dtype: float32
422
+ shape:
423
+ - 12
424
+ eef_sim_pose_action:
425
+ names:
426
+ - left_eef_pos_x
427
+ - left_eef_pos_y
428
+ - left_eef_pos_z
429
+ - left_eef_rot_x
430
+ - left_eef_rot_y
431
+ - left_eef_rot_z
432
+ - right_eef_pos_x
433
+ - right_eef_pos_y
434
+ - right_eef_pos_z
435
+ - right_eef_rot_x
436
+ - right_eef_rot_y
437
+ - right_eef_rot_z
438
+ dtype: float32
439
+ shape:
440
+ - 12
441
+ eef_direction_state:
442
+ names:
443
+ - left_eef_direction
444
+ - right_eef_direction
445
+ dtype: int32
446
+ shape:
447
+ - 2
448
+ eef_direction_action:
449
+ names:
450
+ - left_eef_direction
451
+ - right_eef_direction
452
+ dtype: int32
453
+ shape:
454
+ - 2
455
+ eef_velocity_state:
456
+ names:
457
+ - left_eef_velocity
458
+ - right_eef_velocity
459
+ dtype: int32
460
+ shape:
461
+ - 2
462
+ eef_velocity_action:
463
+ names:
464
+ - left_eef_velocity
465
+ - right_eef_velocity
466
+ dtype: int32
467
+ shape:
468
+ - 2
469
+ eef_acc_mag_state:
470
+ names:
471
+ - left_eef_acc_mag
472
+ - right_eef_acc_mag
473
+ dtype: int32
474
+ shape:
475
+ - 2
476
+ eef_acc_mag_action:
477
+ names:
478
+ - left_eef_acc_mag
479
+ - right_eef_acc_mag
480
+ dtype: int32
481
+ shape:
482
+ - 2
483
+ gripper_mode_state:
484
+ names:
485
+ - left_gripper_mode
486
+ - right_gripper_mode
487
+ dtype: int32
488
+ shape:
489
+ - 2
490
+ gripper_mode_action:
491
+ names:
492
+ - left_gripper_mode
493
+ - right_gripper_mode
494
+ dtype: int32
495
+ shape:
496
+ - 2
497
+ gripper_activity_state:
498
+ names:
499
+ - left_gripper_activity
500
+ - right_gripper_activity
501
+ dtype: int32
502
+ shape:
503
+ - 2
504
+ gripper_activity_action:
505
+ names:
506
+ - left_gripper_activity
507
+ - right_gripper_activity
508
+ dtype: int32
509
+ shape:
510
+ - 2
511
+ gripper_open_scale_state:
512
+ names:
513
+ - left_gripper_open_scale
514
+ - right_gripper_open_scale
515
+ dtype: float32
516
+ shape:
517
+ - 2
518
+ gripper_open_scale_action:
519
+ names:
520
+ - left_gripper_open_scale
521
+ - right_gripper_open_scale
522
+ dtype: float32
523
+ shape:
524
+ - 2
525
+ authors:
526
+ contributed_by:
527
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
528
+ dataset_description: This dataset uses an extended format based on LeRobot and is
529
+ fully compatible with LeRobot.
530
+ homepage: https://flagopen.github.io/RoboCOIN/
531
+ paper: https://arxiv.org/abs/2511.17441
532
+ repository: https://github.com/FlagOpen/RoboCOIN
533
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
534
+ us.
535
+ support_info: For technical support, please open an issue on our GitHub repository.
536
+ license_details: apache-2.0
537
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
538
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
539
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
540
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
541
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
542
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
543
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
544
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
545
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
546
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
547
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
548
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
549
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
550
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
551
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
552
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
553
+ additional_citations: 'If you use this dataset, please also consider citing:
554
+
555
+ LeRobot Framework: https://github.com/huggingface/lerobot
556
+
557
+ '
558
+ version_info: Initial Release
559
+ data_path: data/chunk-{id}/episode_{id}.parquet
560
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
561
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_move_block_gold_bar_models.yaml CHANGED
@@ -1,14 +1,35 @@
1
- path: Airbot_MMK2_move_block_gold_bar_models
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_move_block_gold_bar_models
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 gold bar on the glasses case with the right gripper
12
  objects:
13
  - object_name: eyeglass_case
14
  level1: laboratory_supplies
@@ -22,113 +43,396 @@ objects:
22
  level3: null
23
  level4: null
24
  level5: null
25
- operation_platform_height: 77.2
26
- frame_range: 0-10703
27
- dataset_size: 433.7MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
  statistics:
29
  total_episodes: 50
30
  total_frames: 10703
31
- total_tasks: 1
 
32
  total_videos: 200
33
  total_chunks: 1
34
  chunks_size: 1000
35
- fps: 30
36
- dataset_uuid: 8f0091c0-69e1-4ca0-80f9-a7ae390d4a9f
37
- language:
38
- - en
39
- - zh
40
- task_categories:
41
- - robotics
42
- sub_tasks:
43
- - Place the gold bar on the glasses case with the right gripper
44
- - Grasp the glasses case with the left gripper
45
- - Abnormal
46
- - Static
47
- - Place the glasses case on the middle of the table with the left gripper
48
- - End
49
- - Grasp the gold bar 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_move_block_gold_bar_models_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_move_block_gold_bar_models_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_move_block_gold_bar_models
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: eyeglass_case
35
  level1: laboratory_supplies
 
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
+ - place the glasses case in the middle of the table with your left hand and put the
50
+ toy gold bar on the glasses case with your right hand.
51
+ sub_tasks:
52
+ - subtask: Place the gold bar on the glasses case with the right gripper
53
+ subtask_index: 0
54
+ - subtask: Grasp the glasses case with the left gripper
55
+ subtask_index: 1
56
+ - subtask: Abnormal
57
+ subtask_index: 2
58
+ - subtask: Static
59
+ subtask_index: 3
60
+ - subtask: Place the glasses case on the middle of the table with the left gripper
61
+ subtask_index: 4
62
+ - subtask: End
63
+ subtask_index: 5
64
+ - subtask: Grasp the gold bar the right gripper
65
+ subtask_index: 6
66
+ - subtask: 'null'
67
+ subtask_index: 7
68
+ atomic_actions:
69
+ - grasp
70
+ - pick
71
+ - place
72
+ robot_name:
73
+ - Airbot_MMK2
74
+ end_effector_type: five_finger_gripper
75
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
76
+ type information.
77
+ sensor_list:
78
+ - cam_head_rgb
79
+ - cam_left_wrist_rgb
80
+ - cam_right_wrist_rgb
81
+ - cam_front_rgb
82
+ came_info:
83
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
84
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
85
+ pix_fmt=yuv420p
86
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
87
+ pix_fmt=yuv420p
88
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
89
+ depth_enabled: false
90
+ coordinate_definition: right-hand-frame
91
+ joint_rotation_dim: radian
92
+ end_rotation_dim: end_rotation_dim
93
+ end_translation_dim: end_translation_dim
94
+ annotations:
95
+ - eef_acc_mag_annotation.jsonl
96
+ - eef_direction_annotation.jsonl
97
+ - eef_velocity_annotation.jsonl
98
+ - gripper_activity_annotation.jsonl
99
+ - gripper_mode_annotation.jsonl
100
+ - scene_annotations.jsonl
101
+ - subtask_annotations.jsonl
102
  statistics:
103
  total_episodes: 50
104
  total_frames: 10703
105
+ fps: 30
106
+ total_tasks: 8
107
  total_videos: 200
108
  total_chunks: 1
109
  chunks_size: 1000
110
+ state_dim: 36
111
+ action_dim: 36
112
+ camera_views: 4
113
+ dataset_size: 434.03 MB
114
+ frame_num: 10703
115
+ dataset_size: 434.03 MB
116
+ data_structure: "Airbot_MMK2_move_block_gold_bar_models_qced_hardlink/\n|-- annotations\n\
117
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
118
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
119
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
120
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
121
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
122
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
123
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
124
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
125
+ | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\
126
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
127
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
128
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
129
+ \ `-- observation.images.cam_right_wrist_rgb"
130
+ splits:
131
+ train: 0:49
132
+ features:
133
+ observation.images.cam_head_rgb:
134
+ dtype: video
135
+ shape:
136
+ - 480
137
+ - 640
138
+ - 3
139
+ names:
140
+ - height
141
+ - width
142
+ - channels
143
+ info:
144
+ video.height: 480
145
+ video.width: 640
146
+ video.codec: av1
147
+ video.pix_fmt: yuv420p
148
+ video.is_depth_map: false
149
+ video.fps: 30
150
+ video.channels: 3
151
+ has_audio: false
152
+ observation.images.cam_left_wrist_rgb:
153
+ dtype: video
154
+ shape:
155
+ - 480
156
+ - 640
157
+ - 3
158
+ names:
159
+ - height
160
+ - width
161
+ - channels
162
+ info:
163
+ video.height: 480
164
+ video.width: 640
165
+ video.codec: av1
166
+ video.pix_fmt: yuv420p
167
+ video.is_depth_map: false
168
+ video.fps: 30
169
+ video.channels: 3
170
+ has_audio: false
171
+ observation.images.cam_right_wrist_rgb:
172
+ dtype: video
173
+ shape:
174
+ - 480
175
+ - 640
176
+ - 3
177
+ names:
178
+ - height
179
+ - width
180
+ - channels
181
+ info:
182
+ video.height: 480
183
+ video.width: 640
184
+ video.codec: av1
185
+ video.pix_fmt: yuv420p
186
+ video.is_depth_map: false
187
+ video.fps: 30
188
+ video.channels: 3
189
+ has_audio: false
190
+ observation.images.cam_front_rgb:
191
+ dtype: video
192
+ shape:
193
+ - 480
194
+ - 640
195
+ - 3
196
+ names:
197
+ - height
198
+ - width
199
+ - channels
200
+ info:
201
+ video.height: 480
202
+ video.width: 640
203
+ video.codec: av1
204
+ video.pix_fmt: yuv420p
205
+ video.is_depth_map: false
206
+ video.fps: 30
207
+ video.channels: 3
208
+ has_audio: false
209
+ observation.state:
210
+ dtype: float32
211
+ shape:
212
+ - 36
213
+ names:
214
+ - left_arm_joint_1_rad
215
+ - left_arm_joint_2_rad
216
+ - left_arm_joint_3_rad
217
+ - left_arm_joint_4_rad
218
+ - left_arm_joint_5_rad
219
+ - left_arm_joint_6_rad
220
+ - right_arm_joint_1_rad
221
+ - right_arm_joint_2_rad
222
+ - right_arm_joint_3_rad
223
+ - right_arm_joint_4_rad
224
+ - right_arm_joint_5_rad
225
+ - right_arm_joint_6_rad
226
+ - left_hand_joint_1_rad
227
+ - left_hand_joint_2_rad
228
+ - left_hand_joint_3_rad
229
+ - left_hand_joint_4_rad
230
+ - left_hand_joint_5_rad
231
+ - left_hand_joint_6_rad
232
+ - left_hand_joint_7_rad
233
+ - left_hand_joint_8_rad
234
+ - left_hand_joint_9_rad
235
+ - left_hand_joint_10_rad
236
+ - left_hand_joint_11_rad
237
+ - left_hand_joint_12_rad
238
+ - right_hand_joint_1_rad
239
+ - right_hand_joint_2_rad
240
+ - right_hand_joint_3_rad
241
+ - right_hand_joint_4_rad
242
+ - right_hand_joint_5_rad
243
+ - right_hand_joint_6_rad
244
+ - right_hand_joint_7_rad
245
+ - right_hand_joint_8_rad
246
+ - right_hand_joint_9_rad
247
+ - right_hand_joint_10_rad
248
+ - right_hand_joint_11_rad
249
+ - right_hand_joint_12_rad
250
+ action:
251
+ dtype: float32
252
+ shape:
253
+ - 36
254
+ names:
255
+ - left_arm_joint_1_rad
256
+ - left_arm_joint_2_rad
257
+ - left_arm_joint_3_rad
258
+ - left_arm_joint_4_rad
259
+ - left_arm_joint_5_rad
260
+ - left_arm_joint_6_rad
261
+ - right_arm_joint_1_rad
262
+ - right_arm_joint_2_rad
263
+ - right_arm_joint_3_rad
264
+ - right_arm_joint_4_rad
265
+ - right_arm_joint_5_rad
266
+ - right_arm_joint_6_rad
267
+ - left_hand_joint_1_rad
268
+ - left_hand_joint_2_rad
269
+ - left_hand_joint_3_rad
270
+ - left_hand_joint_4_rad
271
+ - left_hand_joint_5_rad
272
+ - left_hand_joint_6_rad
273
+ - left_hand_joint_7_rad
274
+ - left_hand_joint_8_rad
275
+ - left_hand_joint_9_rad
276
+ - left_hand_joint_10_rad
277
+ - left_hand_joint_11_rad
278
+ - left_hand_joint_12_rad
279
+ - right_hand_joint_1_rad
280
+ - right_hand_joint_2_rad
281
+ - right_hand_joint_3_rad
282
+ - right_hand_joint_4_rad
283
+ - right_hand_joint_5_rad
284
+ - right_hand_joint_6_rad
285
+ - right_hand_joint_7_rad
286
+ - right_hand_joint_8_rad
287
+ - right_hand_joint_9_rad
288
+ - right_hand_joint_10_rad
289
+ - right_hand_joint_11_rad
290
+ - right_hand_joint_12_rad
291
+ timestamp:
292
+ dtype: float32
293
+ shape:
294
+ - 1
295
+ names: null
296
+ frame_index:
297
+ dtype: int64
298
+ shape:
299
+ - 1
300
+ names: null
301
+ episode_index:
302
+ dtype: int64
303
+ shape:
304
+ - 1
305
+ names: null
306
+ index:
307
+ dtype: int64
308
+ shape:
309
+ - 1
310
+ names: null
311
+ task_index:
312
+ dtype: int64
313
+ shape:
314
+ - 1
315
+ names: null
316
+ subtask_annotation:
317
+ names: null
318
+ shape:
319
+ - 5
320
+ dtype: int32
321
+ scene_annotation:
322
+ names: null
323
+ shape:
324
+ - 1
325
+ dtype: int32
326
+ eef_sim_pose_state:
327
+ names:
328
+ - left_eef_pos_x
329
+ - left_eef_pos_y
330
+ - left_eef_pos_z
331
+ - left_eef_rot_x
332
+ - left_eef_rot_y
333
+ - left_eef_rot_z
334
+ - right_eef_pos_x
335
+ - right_eef_pos_y
336
+ - right_eef_pos_z
337
+ - right_eef_rot_x
338
+ - right_eef_rot_y
339
+ - right_eef_rot_z
340
+ shape:
341
+ - 12
342
+ dtype: float32
343
+ eef_sim_pose_action:
344
+ names:
345
+ - left_eef_pos_x
346
+ - left_eef_pos_y
347
+ - left_eef_pos_z
348
+ - left_eef_rot_x
349
+ - left_eef_rot_y
350
+ - left_eef_rot_z
351
+ - right_eef_pos_x
352
+ - right_eef_pos_y
353
+ - right_eef_pos_z
354
+ - right_eef_rot_x
355
+ - right_eef_rot_y
356
+ - right_eef_rot_z
357
+ shape:
358
+ - 12
359
+ dtype: float32
360
+ eef_direction_state:
361
+ names:
362
+ - left_eef_direction
363
+ - right_eef_direction
364
+ shape:
365
+ - 2
366
+ dtype: int32
367
+ eef_direction_action:
368
+ names:
369
+ - left_eef_direction
370
+ - right_eef_direction
371
+ shape:
372
+ - 2
373
+ dtype: int32
374
+ eef_velocity_state:
375
+ names:
376
+ - left_eef_velocity
377
+ - right_eef_velocity
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_velocity_action:
382
+ names:
383
+ - left_eef_velocity
384
+ - right_eef_velocity
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ eef_acc_mag_state:
389
+ names:
390
+ - left_eef_acc_mag
391
+ - right_eef_acc_mag
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_acc_mag_action:
396
+ names:
397
+ - left_eef_acc_mag
398
+ - right_eef_acc_mag
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
  authors:
403
  contributed_by:
404
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
405
+ dataset_description: This dataset uses an extended format based on LeRobot and is
406
+ fully compatible with LeRobot.
 
 
 
 
407
  homepage: https://flagopen.github.io/RoboCOIN/
408
  paper: https://arxiv.org/abs/2511.17441
409
  repository: https://github.com/FlagOpen/RoboCOIN
410
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
411
+ us.
412
+ support_info: For technical support, please open an issue on our GitHub repository.
413
+ license_details: apache-2.0
414
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
415
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
416
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
417
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
418
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
419
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
420
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
421
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
422
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
423
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
424
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
425
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
426
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
427
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
428
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
429
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
430
+ additional_citations: 'If you use this dataset, please also consider citing:
431
+
432
+ LeRobot Framework: https://github.com/huggingface/lerobot
433
+
434
+ '
435
+ version_info: Initial Release
436
+ data_path: data/chunk-{id}/episode_{id}.parquet
437
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
438
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_slide_tape_onto_can.yaml ADDED
@@ -0,0 +1,438 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_slide_tape_onto_can
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: early_education_toys
35
+ level1: toys
36
+ level2: early_education_toys
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: beverages
41
+ level1: beverages
42
+ level2: beverages
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 rings with left and right hands respectively and place them on the beverage
50
+ cans.
51
+ sub_tasks:
52
+ - subtask: Grasp the transparent circular ring on the left with the left gripper
53
+ subtask_index: 0
54
+ - subtask: Place the transparent circular ring on the left onto the fanta in the
55
+ middle with left gripper
56
+ subtask_index: 1
57
+ - subtask: Place the transparent circular ring on the right onto the fanta in the
58
+ middle with right gripper
59
+ subtask_index: 2
60
+ - subtask: Abnormal
61
+ subtask_index: 3
62
+ - subtask: Grasp the transparent circular ring on the right with the right gripper
63
+ subtask_index: 4
64
+ - subtask: End
65
+ subtask_index: 5
66
+ - subtask: 'null'
67
+ subtask_index: 6
68
+ atomic_actions:
69
+ - grasp
70
+ - pick
71
+ - place
72
+ robot_name:
73
+ - Airbot_MMK2
74
+ end_effector_type: five_finger_gripper
75
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
76
+ type information.
77
+ sensor_list:
78
+ - cam_head_rgb
79
+ - cam_left_wrist_rgb
80
+ - cam_right_wrist_rgb
81
+ - cam_front_rgb
82
+ came_info:
83
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
84
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
85
+ pix_fmt=yuv420p
86
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
87
+ pix_fmt=yuv420p
88
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
89
+ depth_enabled: false
90
+ coordinate_definition: right-hand-frame
91
+ joint_rotation_dim: radian
92
+ end_rotation_dim: end_rotation_dim
93
+ end_translation_dim: end_translation_dim
94
+ annotations:
95
+ - eef_acc_mag_annotation.jsonl
96
+ - eef_direction_annotation.jsonl
97
+ - eef_velocity_annotation.jsonl
98
+ - gripper_activity_annotation.jsonl
99
+ - gripper_mode_annotation.jsonl
100
+ - scene_annotations.jsonl
101
+ - subtask_annotations.jsonl
102
+ statistics:
103
+ total_episodes: 44
104
+ total_frames: 10133
105
+ fps: 30
106
+ total_tasks: 7
107
+ total_videos: 176
108
+ total_chunks: 1
109
+ chunks_size: 1000
110
+ state_dim: 36
111
+ action_dim: 36
112
+ camera_views: 4
113
+ dataset_size: 490.04 MB
114
+ frame_num: 10133
115
+ dataset_size: 490.04 MB
116
+ data_structure: "Airbot_MMK2_slide_tape_onto_can_qced_hardlink/\n|-- annotations\n\
117
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
118
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
119
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
120
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
121
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
122
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
123
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
124
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
125
+ | `-- episode_000011.parquet\n| `-- ... (32 more entries)\n|-- meta\n\
126
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
127
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
128
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
129
+ \ `-- observation.images.cam_right_wrist_rgb"
130
+ splits:
131
+ train: 0:43
132
+ features:
133
+ observation.images.cam_head_rgb:
134
+ dtype: video
135
+ shape:
136
+ - 480
137
+ - 640
138
+ - 3
139
+ names:
140
+ - height
141
+ - width
142
+ - channels
143
+ info:
144
+ video.height: 480
145
+ video.width: 640
146
+ video.codec: av1
147
+ video.pix_fmt: yuv420p
148
+ video.is_depth_map: false
149
+ video.fps: 30
150
+ video.channels: 3
151
+ has_audio: false
152
+ observation.images.cam_left_wrist_rgb:
153
+ dtype: video
154
+ shape:
155
+ - 480
156
+ - 640
157
+ - 3
158
+ names:
159
+ - height
160
+ - width
161
+ - channels
162
+ info:
163
+ video.height: 480
164
+ video.width: 640
165
+ video.codec: av1
166
+ video.pix_fmt: yuv420p
167
+ video.is_depth_map: false
168
+ video.fps: 30
169
+ video.channels: 3
170
+ has_audio: false
171
+ observation.images.cam_right_wrist_rgb:
172
+ dtype: video
173
+ shape:
174
+ - 480
175
+ - 640
176
+ - 3
177
+ names:
178
+ - height
179
+ - width
180
+ - channels
181
+ info:
182
+ video.height: 480
183
+ video.width: 640
184
+ video.codec: av1
185
+ video.pix_fmt: yuv420p
186
+ video.is_depth_map: false
187
+ video.fps: 30
188
+ video.channels: 3
189
+ has_audio: false
190
+ observation.images.cam_front_rgb:
191
+ dtype: video
192
+ shape:
193
+ - 480
194
+ - 640
195
+ - 3
196
+ names:
197
+ - height
198
+ - width
199
+ - channels
200
+ info:
201
+ video.height: 480
202
+ video.width: 640
203
+ video.codec: av1
204
+ video.pix_fmt: yuv420p
205
+ video.is_depth_map: false
206
+ video.fps: 30
207
+ video.channels: 3
208
+ has_audio: false
209
+ observation.state:
210
+ dtype: float32
211
+ shape:
212
+ - 36
213
+ names:
214
+ - left_arm_joint_1_rad
215
+ - left_arm_joint_2_rad
216
+ - left_arm_joint_3_rad
217
+ - left_arm_joint_4_rad
218
+ - left_arm_joint_5_rad
219
+ - left_arm_joint_6_rad
220
+ - right_arm_joint_1_rad
221
+ - right_arm_joint_2_rad
222
+ - right_arm_joint_3_rad
223
+ - right_arm_joint_4_rad
224
+ - right_arm_joint_5_rad
225
+ - right_arm_joint_6_rad
226
+ - left_hand_joint_1_rad
227
+ - left_hand_joint_2_rad
228
+ - left_hand_joint_3_rad
229
+ - left_hand_joint_4_rad
230
+ - left_hand_joint_5_rad
231
+ - left_hand_joint_6_rad
232
+ - left_hand_joint_7_rad
233
+ - left_hand_joint_8_rad
234
+ - left_hand_joint_9_rad
235
+ - left_hand_joint_10_rad
236
+ - left_hand_joint_11_rad
237
+ - left_hand_joint_12_rad
238
+ - right_hand_joint_1_rad
239
+ - right_hand_joint_2_rad
240
+ - right_hand_joint_3_rad
241
+ - right_hand_joint_4_rad
242
+ - right_hand_joint_5_rad
243
+ - right_hand_joint_6_rad
244
+ - right_hand_joint_7_rad
245
+ - right_hand_joint_8_rad
246
+ - right_hand_joint_9_rad
247
+ - right_hand_joint_10_rad
248
+ - right_hand_joint_11_rad
249
+ - right_hand_joint_12_rad
250
+ action:
251
+ dtype: float32
252
+ shape:
253
+ - 36
254
+ names:
255
+ - left_arm_joint_1_rad
256
+ - left_arm_joint_2_rad
257
+ - left_arm_joint_3_rad
258
+ - left_arm_joint_4_rad
259
+ - left_arm_joint_5_rad
260
+ - left_arm_joint_6_rad
261
+ - right_arm_joint_1_rad
262
+ - right_arm_joint_2_rad
263
+ - right_arm_joint_3_rad
264
+ - right_arm_joint_4_rad
265
+ - right_arm_joint_5_rad
266
+ - right_arm_joint_6_rad
267
+ - left_hand_joint_1_rad
268
+ - left_hand_joint_2_rad
269
+ - left_hand_joint_3_rad
270
+ - left_hand_joint_4_rad
271
+ - left_hand_joint_5_rad
272
+ - left_hand_joint_6_rad
273
+ - left_hand_joint_7_rad
274
+ - left_hand_joint_8_rad
275
+ - left_hand_joint_9_rad
276
+ - left_hand_joint_10_rad
277
+ - left_hand_joint_11_rad
278
+ - left_hand_joint_12_rad
279
+ - right_hand_joint_1_rad
280
+ - right_hand_joint_2_rad
281
+ - right_hand_joint_3_rad
282
+ - right_hand_joint_4_rad
283
+ - right_hand_joint_5_rad
284
+ - right_hand_joint_6_rad
285
+ - right_hand_joint_7_rad
286
+ - right_hand_joint_8_rad
287
+ - right_hand_joint_9_rad
288
+ - right_hand_joint_10_rad
289
+ - right_hand_joint_11_rad
290
+ - right_hand_joint_12_rad
291
+ timestamp:
292
+ dtype: float32
293
+ shape:
294
+ - 1
295
+ names: null
296
+ frame_index:
297
+ dtype: int64
298
+ shape:
299
+ - 1
300
+ names: null
301
+ episode_index:
302
+ dtype: int64
303
+ shape:
304
+ - 1
305
+ names: null
306
+ index:
307
+ dtype: int64
308
+ shape:
309
+ - 1
310
+ names: null
311
+ task_index:
312
+ dtype: int64
313
+ shape:
314
+ - 1
315
+ names: null
316
+ subtask_annotation:
317
+ names: null
318
+ shape:
319
+ - 5
320
+ dtype: int32
321
+ scene_annotation:
322
+ names: null
323
+ shape:
324
+ - 1
325
+ dtype: int32
326
+ eef_sim_pose_state:
327
+ names:
328
+ - left_eef_pos_x
329
+ - left_eef_pos_y
330
+ - left_eef_pos_z
331
+ - left_eef_rot_x
332
+ - left_eef_rot_y
333
+ - left_eef_rot_z
334
+ - right_eef_pos_x
335
+ - right_eef_pos_y
336
+ - right_eef_pos_z
337
+ - right_eef_rot_x
338
+ - right_eef_rot_y
339
+ - right_eef_rot_z
340
+ shape:
341
+ - 12
342
+ dtype: float32
343
+ eef_sim_pose_action:
344
+ names:
345
+ - left_eef_pos_x
346
+ - left_eef_pos_y
347
+ - left_eef_pos_z
348
+ - left_eef_rot_x
349
+ - left_eef_rot_y
350
+ - left_eef_rot_z
351
+ - right_eef_pos_x
352
+ - right_eef_pos_y
353
+ - right_eef_pos_z
354
+ - right_eef_rot_x
355
+ - right_eef_rot_y
356
+ - right_eef_rot_z
357
+ shape:
358
+ - 12
359
+ dtype: float32
360
+ eef_direction_state:
361
+ names:
362
+ - left_eef_direction
363
+ - right_eef_direction
364
+ shape:
365
+ - 2
366
+ dtype: int32
367
+ eef_direction_action:
368
+ names:
369
+ - left_eef_direction
370
+ - right_eef_direction
371
+ shape:
372
+ - 2
373
+ dtype: int32
374
+ eef_velocity_state:
375
+ names:
376
+ - left_eef_velocity
377
+ - right_eef_velocity
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_velocity_action:
382
+ names:
383
+ - left_eef_velocity
384
+ - right_eef_velocity
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ eef_acc_mag_state:
389
+ names:
390
+ - left_eef_acc_mag
391
+ - right_eef_acc_mag
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_acc_mag_action:
396
+ names:
397
+ - left_eef_acc_mag
398
+ - right_eef_acc_mag
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ authors:
403
+ contributed_by:
404
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
405
+ dataset_description: This dataset uses an extended format based on LeRobot and is
406
+ fully compatible with LeRobot.
407
+ homepage: https://flagopen.github.io/RoboCOIN/
408
+ paper: https://arxiv.org/abs/2511.17441
409
+ repository: https://github.com/FlagOpen/RoboCOIN
410
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
411
+ us.
412
+ support_info: For technical support, please open an issue on our GitHub repository.
413
+ license_details: apache-2.0
414
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
415
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
416
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
417
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
418
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
419
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
420
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
421
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
422
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
423
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
424
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
425
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
426
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
427
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
428
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
429
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
430
+ additional_citations: 'If you use this dataset, please also consider citing:
431
+
432
+ LeRobot Framework: https://github.com/huggingface/lerobot
433
+
434
+ '
435
+ version_info: Initial Release
436
+ data_path: data/chunk-{id}/episode_{id}.parquet
437
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
438
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_stack_cubic_block.yaml ADDED
@@ -0,0 +1,444 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_stack_cubic_block
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: bedroom
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: square_building_blocks
35
+ level1: toys
36
+ level2: square_building_blocks
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
41
+ the operation type information.
42
+ task_instruction:
43
+ - pick up the building blocks with left and right hands respectively and place them
44
+ on the blocks.
45
+ sub_tasks:
46
+ - subtask: Grasp the blue build blocks with the right gripper
47
+ subtask_index: 0
48
+ - subtask: End
49
+ subtask_index: 1
50
+ - subtask: Place the blue build blocks on the red build block with the right gripper
51
+ subtask_index: 2
52
+ - subtask: Place the yellow build blocks on the orange build block with the right
53
+ gripper
54
+ subtask_index: 3
55
+ - subtask: Place the red build blocks on the center of the table with the left gripper
56
+ subtask_index: 4
57
+ - subtask: Place the orange build blocks on the yellow build block with the right
58
+ gripper
59
+ subtask_index: 5
60
+ - subtask: Grasp the blue build blocks with the left gripper
61
+ subtask_index: 6
62
+ - subtask: Grasp the red build blocks with the left gripper
63
+ subtask_index: 7
64
+ - subtask: Abnormal
65
+ subtask_index: 8
66
+ - subtask: Grasp the orange build blocks with the right gripper
67
+ subtask_index: 9
68
+ - subtask: Place the blue build blocks on the red build block with the left gripper
69
+ subtask_index: 10
70
+ - subtask: Grasp the yellow build blocks with the right gripper
71
+ subtask_index: 11
72
+ - subtask: 'null'
73
+ subtask_index: 12
74
+ atomic_actions:
75
+ - grasp
76
+ - pick
77
+ - place
78
+ robot_name:
79
+ - Airbot_MMK2
80
+ end_effector_type: five_finger_gripper
81
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
82
+ type information.
83
+ sensor_list:
84
+ - cam_head_rgb
85
+ - cam_left_wrist_rgb
86
+ - cam_right_wrist_rgb
87
+ - cam_front_rgb
88
+ came_info:
89
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
90
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
93
+ pix_fmt=yuv420p
94
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
95
+ depth_enabled: false
96
+ coordinate_definition: right-hand-frame
97
+ joint_rotation_dim: radian
98
+ end_rotation_dim: end_rotation_dim
99
+ end_translation_dim: end_translation_dim
100
+ annotations:
101
+ - eef_acc_mag_annotation.jsonl
102
+ - eef_direction_annotation.jsonl
103
+ - eef_velocity_annotation.jsonl
104
+ - gripper_activity_annotation.jsonl
105
+ - gripper_mode_annotation.jsonl
106
+ - scene_annotations.jsonl
107
+ - subtask_annotations.jsonl
108
+ statistics:
109
+ total_episodes: 162
110
+ total_frames: 48691
111
+ fps: 30
112
+ total_tasks: 13
113
+ total_videos: 648
114
+ total_chunks: 1
115
+ chunks_size: 1000
116
+ state_dim: 36
117
+ action_dim: 36
118
+ camera_views: 4
119
+ dataset_size: 1.92 GB
120
+ frame_num: 48691
121
+ dataset_size: 1.92 GB
122
+ data_structure: "Airbot_MMK2_stack_cubic_block_qced_hardlink/\n|-- annotations\n|\
123
+ \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
124
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
125
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
126
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
127
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
128
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
129
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
130
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
131
+ | `-- episode_000011.parquet\n| `-- ... (150 more entries)\n|-- meta\n\
132
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
133
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
134
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
135
+ \ `-- observation.images.cam_right_wrist_rgb"
136
+ splits:
137
+ train: 0:161
138
+ features:
139
+ observation.images.cam_head_rgb:
140
+ dtype: video
141
+ shape:
142
+ - 480
143
+ - 640
144
+ - 3
145
+ names:
146
+ - height
147
+ - width
148
+ - channels
149
+ info:
150
+ video.height: 480
151
+ video.width: 640
152
+ video.codec: av1
153
+ video.pix_fmt: yuv420p
154
+ video.is_depth_map: false
155
+ video.fps: 30
156
+ video.channels: 3
157
+ has_audio: false
158
+ observation.images.cam_left_wrist_rgb:
159
+ dtype: video
160
+ shape:
161
+ - 480
162
+ - 640
163
+ - 3
164
+ names:
165
+ - height
166
+ - width
167
+ - channels
168
+ info:
169
+ video.height: 480
170
+ video.width: 640
171
+ video.codec: av1
172
+ video.pix_fmt: yuv420p
173
+ video.is_depth_map: false
174
+ video.fps: 30
175
+ video.channels: 3
176
+ has_audio: false
177
+ observation.images.cam_right_wrist_rgb:
178
+ dtype: video
179
+ shape:
180
+ - 480
181
+ - 640
182
+ - 3
183
+ names:
184
+ - height
185
+ - width
186
+ - channels
187
+ info:
188
+ video.height: 480
189
+ video.width: 640
190
+ video.codec: av1
191
+ video.pix_fmt: yuv420p
192
+ video.is_depth_map: false
193
+ video.fps: 30
194
+ video.channels: 3
195
+ has_audio: false
196
+ observation.images.cam_front_rgb:
197
+ dtype: video
198
+ shape:
199
+ - 480
200
+ - 640
201
+ - 3
202
+ names:
203
+ - height
204
+ - width
205
+ - channels
206
+ info:
207
+ video.height: 480
208
+ video.width: 640
209
+ video.codec: av1
210
+ video.pix_fmt: yuv420p
211
+ video.is_depth_map: false
212
+ video.fps: 30
213
+ video.channels: 3
214
+ has_audio: false
215
+ observation.state:
216
+ dtype: float32
217
+ shape:
218
+ - 36
219
+ names:
220
+ - left_arm_joint_1_rad
221
+ - left_arm_joint_2_rad
222
+ - left_arm_joint_3_rad
223
+ - left_arm_joint_4_rad
224
+ - left_arm_joint_5_rad
225
+ - left_arm_joint_6_rad
226
+ - right_arm_joint_1_rad
227
+ - right_arm_joint_2_rad
228
+ - right_arm_joint_3_rad
229
+ - right_arm_joint_4_rad
230
+ - right_arm_joint_5_rad
231
+ - right_arm_joint_6_rad
232
+ - left_hand_joint_1_rad
233
+ - left_hand_joint_2_rad
234
+ - left_hand_joint_3_rad
235
+ - left_hand_joint_4_rad
236
+ - left_hand_joint_5_rad
237
+ - left_hand_joint_6_rad
238
+ - left_hand_joint_7_rad
239
+ - left_hand_joint_8_rad
240
+ - left_hand_joint_9_rad
241
+ - left_hand_joint_10_rad
242
+ - left_hand_joint_11_rad
243
+ - left_hand_joint_12_rad
244
+ - right_hand_joint_1_rad
245
+ - right_hand_joint_2_rad
246
+ - right_hand_joint_3_rad
247
+ - right_hand_joint_4_rad
248
+ - right_hand_joint_5_rad
249
+ - right_hand_joint_6_rad
250
+ - right_hand_joint_7_rad
251
+ - right_hand_joint_8_rad
252
+ - right_hand_joint_9_rad
253
+ - right_hand_joint_10_rad
254
+ - right_hand_joint_11_rad
255
+ - right_hand_joint_12_rad
256
+ action:
257
+ dtype: float32
258
+ shape:
259
+ - 36
260
+ names:
261
+ - left_arm_joint_1_rad
262
+ - left_arm_joint_2_rad
263
+ - left_arm_joint_3_rad
264
+ - left_arm_joint_4_rad
265
+ - left_arm_joint_5_rad
266
+ - left_arm_joint_6_rad
267
+ - right_arm_joint_1_rad
268
+ - right_arm_joint_2_rad
269
+ - right_arm_joint_3_rad
270
+ - right_arm_joint_4_rad
271
+ - right_arm_joint_5_rad
272
+ - right_arm_joint_6_rad
273
+ - left_hand_joint_1_rad
274
+ - left_hand_joint_2_rad
275
+ - left_hand_joint_3_rad
276
+ - left_hand_joint_4_rad
277
+ - left_hand_joint_5_rad
278
+ - left_hand_joint_6_rad
279
+ - left_hand_joint_7_rad
280
+ - left_hand_joint_8_rad
281
+ - left_hand_joint_9_rad
282
+ - left_hand_joint_10_rad
283
+ - left_hand_joint_11_rad
284
+ - left_hand_joint_12_rad
285
+ - right_hand_joint_1_rad
286
+ - right_hand_joint_2_rad
287
+ - right_hand_joint_3_rad
288
+ - right_hand_joint_4_rad
289
+ - right_hand_joint_5_rad
290
+ - right_hand_joint_6_rad
291
+ - right_hand_joint_7_rad
292
+ - right_hand_joint_8_rad
293
+ - right_hand_joint_9_rad
294
+ - right_hand_joint_10_rad
295
+ - right_hand_joint_11_rad
296
+ - right_hand_joint_12_rad
297
+ timestamp:
298
+ dtype: float32
299
+ shape:
300
+ - 1
301
+ names: null
302
+ frame_index:
303
+ dtype: int64
304
+ shape:
305
+ - 1
306
+ names: null
307
+ episode_index:
308
+ dtype: int64
309
+ shape:
310
+ - 1
311
+ names: null
312
+ index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ task_index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ subtask_annotation:
323
+ names: null
324
+ shape:
325
+ - 5
326
+ dtype: int32
327
+ scene_annotation:
328
+ names: null
329
+ shape:
330
+ - 1
331
+ dtype: int32
332
+ eef_sim_pose_state:
333
+ names:
334
+ - left_eef_pos_x
335
+ - left_eef_pos_y
336
+ - left_eef_pos_z
337
+ - left_eef_rot_x
338
+ - left_eef_rot_y
339
+ - left_eef_rot_z
340
+ - right_eef_pos_x
341
+ - right_eef_pos_y
342
+ - right_eef_pos_z
343
+ - right_eef_rot_x
344
+ - right_eef_rot_y
345
+ - right_eef_rot_z
346
+ shape:
347
+ - 12
348
+ dtype: float32
349
+ eef_sim_pose_action:
350
+ names:
351
+ - left_eef_pos_x
352
+ - left_eef_pos_y
353
+ - left_eef_pos_z
354
+ - left_eef_rot_x
355
+ - left_eef_rot_y
356
+ - left_eef_rot_z
357
+ - right_eef_pos_x
358
+ - right_eef_pos_y
359
+ - right_eef_pos_z
360
+ - right_eef_rot_x
361
+ - right_eef_rot_y
362
+ - right_eef_rot_z
363
+ shape:
364
+ - 12
365
+ dtype: float32
366
+ eef_direction_state:
367
+ names:
368
+ - left_eef_direction
369
+ - right_eef_direction
370
+ shape:
371
+ - 2
372
+ dtype: int32
373
+ eef_direction_action:
374
+ names:
375
+ - left_eef_direction
376
+ - right_eef_direction
377
+ shape:
378
+ - 2
379
+ dtype: int32
380
+ eef_velocity_state:
381
+ names:
382
+ - left_eef_velocity
383
+ - right_eef_velocity
384
+ shape:
385
+ - 2
386
+ dtype: int32
387
+ eef_velocity_action:
388
+ names:
389
+ - left_eef_velocity
390
+ - right_eef_velocity
391
+ shape:
392
+ - 2
393
+ dtype: int32
394
+ eef_acc_mag_state:
395
+ names:
396
+ - left_eef_acc_mag
397
+ - right_eef_acc_mag
398
+ shape:
399
+ - 2
400
+ dtype: int32
401
+ eef_acc_mag_action:
402
+ names:
403
+ - left_eef_acc_mag
404
+ - right_eef_acc_mag
405
+ shape:
406
+ - 2
407
+ dtype: int32
408
+ authors:
409
+ contributed_by:
410
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
411
+ dataset_description: This dataset uses an extended format based on LeRobot and is
412
+ fully compatible with LeRobot.
413
+ homepage: https://flagopen.github.io/RoboCOIN/
414
+ paper: https://arxiv.org/abs/2511.17441
415
+ repository: https://github.com/FlagOpen/RoboCOIN
416
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
417
+ us.
418
+ support_info: For technical support, please open an issue on our GitHub repository.
419
+ license_details: apache-2.0
420
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
421
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
422
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
423
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
424
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
425
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
426
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
427
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
428
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
429
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
430
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
431
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
432
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
433
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
434
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
435
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
436
+ additional_citations: 'If you use this dataset, please also consider citing:
437
+
438
+ LeRobot Framework: https://github.com/huggingface/lerobot
439
+
440
+ '
441
+ version_info: Initial Release
442
+ data_path: data/chunk-{id}/episode_{id}.parquet
443
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
444
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_cake_ice_cream.yaml ADDED
@@ -0,0 +1,498 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_cake_ice_cream
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: plate
35
+ level1: kitchen_supplies
36
+ level2: plate
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: cake
41
+ level1: bread
42
+ level2: cake
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: ice_cream
47
+ level1: snacks
48
+ level2: ice_cream
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 cake and ice cream into the plate respectively with left and right hands.
56
+ sub_tasks:
57
+ - subtask: Grasp the ice cream with the right gripper
58
+ subtask_index: 0
59
+ - subtask: Place the ice cream into the white basket with the right gripper
60
+ subtask_index: 1
61
+ - subtask: Grasp the cake with the left gripper
62
+ subtask_index: 2
63
+ - subtask: End
64
+ subtask_index: 3
65
+ - subtask: Place the cake into the white basket with the left gripper
66
+ subtask_index: 4
67
+ - subtask: 'null'
68
+ subtask_index: 5
69
+ atomic_actions:
70
+ - grasp
71
+ - pick
72
+ - place
73
+ robot_name:
74
+ - Airbot_MMK2
75
+ end_effector_type: five_finger_gripper
76
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
77
+ type information.
78
+ sensor_list:
79
+ - cam_head_rgb
80
+ - cam_left_wrist_rgb
81
+ - cam_right_wrist_rgb
82
+ - cam_front_rgb
83
+ came_info:
84
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
85
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
86
+ pix_fmt=yuv420p
87
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
88
+ pix_fmt=yuv420p
89
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
90
+ depth_enabled: false
91
+ coordinate_definition: right-hand-frame
92
+ joint_rotation_dim: radian
93
+ end_rotation_dim: end_rotation_dim
94
+ end_translation_dim: end_translation_dim
95
+ annotations:
96
+ - eef_acc_mag_annotation.jsonl
97
+ - eef_direction_annotation.jsonl
98
+ - eef_velocity_annotation.jsonl
99
+ - gripper_activity_annotation.jsonl
100
+ - gripper_mode_annotation.jsonl
101
+ - scene_annotations.jsonl
102
+ - subtask_annotations.jsonl
103
+ statistics:
104
+ total_episodes: 50
105
+ total_frames: 11989
106
+ fps: 30
107
+ total_tasks: 6
108
+ total_videos: 200
109
+ total_chunks: 1
110
+ chunks_size: 1000
111
+ state_dim: 36
112
+ action_dim: 36
113
+ camera_views: 4
114
+ dataset_size: 571.59 MB
115
+ frame_num: 11989
116
+ dataset_size: 571.59 MB
117
+ data_structure: 'Airbot_MMK2_storage_cake_ice_cream_qced_hardlink/
118
+
119
+ |-- annotations
120
+
121
+ | |-- eef_acc_mag_annotation.jsonl
122
+
123
+ | |-- eef_direction_annotation.jsonl
124
+
125
+ | |-- eef_velocity_annotation.jsonl
126
+
127
+ | |-- gripper_activity_annotation.jsonl
128
+
129
+ | |-- gripper_mode_annotation.jsonl
130
+
131
+ | |-- scene_annotations.jsonl
132
+
133
+ | `-- subtask_annotations.jsonl
134
+
135
+ |-- data
136
+
137
+ | `-- chunk-000
138
+
139
+ | |-- episode_000000.parquet
140
+
141
+ | |-- episode_000001.parquet
142
+
143
+ | |-- episode_000002.parquet
144
+
145
+ | |-- episode_000003.parquet
146
+
147
+ | |-- episode_000004.parquet
148
+
149
+ | |-- episode_000005.parquet
150
+
151
+ | |-- episode_000006.parquet
152
+
153
+ | |-- episode_000007.parquet
154
+
155
+ | |-- episode_000008.parquet
156
+
157
+ | |-- episode_000009.parquet
158
+
159
+ | |-- episode_000010.parquet
160
+
161
+ | `-- episode_000011.parquet
162
+
163
+ | `-- ... (38 more entries)
164
+
165
+ |-- meta
166
+
167
+ | |-- episodes.jsonl
168
+
169
+ | |-- episodes_stats.jsonl
170
+
171
+ | |-- info.json
172
+
173
+ | `-- tasks.jsonl
174
+
175
+ |-- videos
176
+
177
+ | `-- chunk-000
178
+
179
+ | |-- observation.images.cam_front_rgb
180
+
181
+ | |-- observation.images.cam_head_rgb
182
+
183
+ | |-- observation.images.cam_left_wrist_rgb
184
+
185
+ | `-- observation.images.cam_right_wrist_rgb
186
+
187
+ |-- info.yaml
188
+
189
+ `-- README.md'
190
+ splits:
191
+ train: 0:49
192
+ features:
193
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
213
+ dtype: video
214
+ shape:
215
+ - 480
216
+ - 640
217
+ - 3
218
+ names:
219
+ - height
220
+ - width
221
+ - channels
222
+ info:
223
+ video.height: 480
224
+ video.width: 640
225
+ video.codec: av1
226
+ video.pix_fmt: yuv420p
227
+ video.is_depth_map: false
228
+ video.fps: 30
229
+ video.channels: 3
230
+ has_audio: false
231
+ observation.images.cam_right_wrist_rgb:
232
+ dtype: video
233
+ shape:
234
+ - 480
235
+ - 640
236
+ - 3
237
+ names:
238
+ - height
239
+ - width
240
+ - channels
241
+ info:
242
+ video.height: 480
243
+ video.width: 640
244
+ video.codec: av1
245
+ video.pix_fmt: yuv420p
246
+ video.is_depth_map: false
247
+ video.fps: 30
248
+ video.channels: 3
249
+ has_audio: false
250
+ observation.images.cam_front_rgb:
251
+ dtype: video
252
+ shape:
253
+ - 480
254
+ - 640
255
+ - 3
256
+ names:
257
+ - height
258
+ - width
259
+ - channels
260
+ info:
261
+ video.height: 480
262
+ video.width: 640
263
+ video.codec: av1
264
+ video.pix_fmt: yuv420p
265
+ video.is_depth_map: false
266
+ video.fps: 30
267
+ video.channels: 3
268
+ has_audio: false
269
+ observation.state:
270
+ dtype: float32
271
+ shape:
272
+ - 36
273
+ names:
274
+ - left_arm_joint_1_rad
275
+ - left_arm_joint_2_rad
276
+ - left_arm_joint_3_rad
277
+ - left_arm_joint_4_rad
278
+ - left_arm_joint_5_rad
279
+ - left_arm_joint_6_rad
280
+ - right_arm_joint_1_rad
281
+ - right_arm_joint_2_rad
282
+ - right_arm_joint_3_rad
283
+ - right_arm_joint_4_rad
284
+ - right_arm_joint_5_rad
285
+ - right_arm_joint_6_rad
286
+ - left_hand_joint_1_rad
287
+ - left_hand_joint_2_rad
288
+ - left_hand_joint_3_rad
289
+ - left_hand_joint_4_rad
290
+ - left_hand_joint_5_rad
291
+ - left_hand_joint_6_rad
292
+ - left_hand_joint_7_rad
293
+ - left_hand_joint_8_rad
294
+ - left_hand_joint_9_rad
295
+ - left_hand_joint_10_rad
296
+ - left_hand_joint_11_rad
297
+ - left_hand_joint_12_rad
298
+ - right_hand_joint_1_rad
299
+ - right_hand_joint_2_rad
300
+ - right_hand_joint_3_rad
301
+ - right_hand_joint_4_rad
302
+ - right_hand_joint_5_rad
303
+ - right_hand_joint_6_rad
304
+ - right_hand_joint_7_rad
305
+ - right_hand_joint_8_rad
306
+ - right_hand_joint_9_rad
307
+ - right_hand_joint_10_rad
308
+ - right_hand_joint_11_rad
309
+ - right_hand_joint_12_rad
310
+ action:
311
+ dtype: float32
312
+ shape:
313
+ - 36
314
+ names:
315
+ - left_arm_joint_1_rad
316
+ - left_arm_joint_2_rad
317
+ - left_arm_joint_3_rad
318
+ - left_arm_joint_4_rad
319
+ - left_arm_joint_5_rad
320
+ - left_arm_joint_6_rad
321
+ - right_arm_joint_1_rad
322
+ - right_arm_joint_2_rad
323
+ - right_arm_joint_3_rad
324
+ - right_arm_joint_4_rad
325
+ - right_arm_joint_5_rad
326
+ - right_arm_joint_6_rad
327
+ - left_hand_joint_1_rad
328
+ - left_hand_joint_2_rad
329
+ - left_hand_joint_3_rad
330
+ - left_hand_joint_4_rad
331
+ - left_hand_joint_5_rad
332
+ - left_hand_joint_6_rad
333
+ - left_hand_joint_7_rad
334
+ - left_hand_joint_8_rad
335
+ - left_hand_joint_9_rad
336
+ - left_hand_joint_10_rad
337
+ - left_hand_joint_11_rad
338
+ - left_hand_joint_12_rad
339
+ - right_hand_joint_1_rad
340
+ - right_hand_joint_2_rad
341
+ - right_hand_joint_3_rad
342
+ - right_hand_joint_4_rad
343
+ - right_hand_joint_5_rad
344
+ - right_hand_joint_6_rad
345
+ - right_hand_joint_7_rad
346
+ - right_hand_joint_8_rad
347
+ - right_hand_joint_9_rad
348
+ - right_hand_joint_10_rad
349
+ - right_hand_joint_11_rad
350
+ - right_hand_joint_12_rad
351
+ timestamp:
352
+ dtype: float32
353
+ shape:
354
+ - 1
355
+ names: null
356
+ frame_index:
357
+ dtype: int64
358
+ shape:
359
+ - 1
360
+ names: null
361
+ episode_index:
362
+ dtype: int64
363
+ shape:
364
+ - 1
365
+ names: null
366
+ index:
367
+ dtype: int64
368
+ shape:
369
+ - 1
370
+ names: null
371
+ task_index:
372
+ dtype: int64
373
+ shape:
374
+ - 1
375
+ names: null
376
+ subtask_annotation:
377
+ names: null
378
+ shape:
379
+ - 5
380
+ dtype: int32
381
+ scene_annotation:
382
+ names: null
383
+ shape:
384
+ - 1
385
+ dtype: int32
386
+ eef_sim_pose_state:
387
+ names:
388
+ - left_eef_pos_x
389
+ - left_eef_pos_y
390
+ - left_eef_pos_z
391
+ - left_eef_rot_x
392
+ - left_eef_rot_y
393
+ - left_eef_rot_z
394
+ - right_eef_pos_x
395
+ - right_eef_pos_y
396
+ - right_eef_pos_z
397
+ - right_eef_rot_x
398
+ - right_eef_rot_y
399
+ - right_eef_rot_z
400
+ shape:
401
+ - 12
402
+ dtype: float32
403
+ eef_sim_pose_action:
404
+ names:
405
+ - left_eef_pos_x
406
+ - left_eef_pos_y
407
+ - left_eef_pos_z
408
+ - left_eef_rot_x
409
+ - left_eef_rot_y
410
+ - left_eef_rot_z
411
+ - right_eef_pos_x
412
+ - right_eef_pos_y
413
+ - right_eef_pos_z
414
+ - right_eef_rot_x
415
+ - right_eef_rot_y
416
+ - right_eef_rot_z
417
+ shape:
418
+ - 12
419
+ dtype: float32
420
+ eef_direction_state:
421
+ names:
422
+ - left_eef_direction
423
+ - right_eef_direction
424
+ shape:
425
+ - 2
426
+ dtype: int32
427
+ eef_direction_action:
428
+ names:
429
+ - left_eef_direction
430
+ - right_eef_direction
431
+ shape:
432
+ - 2
433
+ dtype: int32
434
+ eef_velocity_state:
435
+ names:
436
+ - left_eef_velocity
437
+ - right_eef_velocity
438
+ shape:
439
+ - 2
440
+ dtype: int32
441
+ eef_velocity_action:
442
+ names:
443
+ - left_eef_velocity
444
+ - right_eef_velocity
445
+ shape:
446
+ - 2
447
+ dtype: int32
448
+ eef_acc_mag_state:
449
+ names:
450
+ - left_eef_acc_mag
451
+ - right_eef_acc_mag
452
+ shape:
453
+ - 2
454
+ dtype: int32
455
+ eef_acc_mag_action:
456
+ names:
457
+ - left_eef_acc_mag
458
+ - right_eef_acc_mag
459
+ shape:
460
+ - 2
461
+ dtype: int32
462
+ authors:
463
+ contributed_by:
464
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
465
+ dataset_description: This dataset uses an extended format based on LeRobot and is
466
+ fully compatible with LeRobot.
467
+ homepage: https://flagopen.github.io/RoboCOIN/
468
+ paper: https://arxiv.org/abs/2511.17441
469
+ repository: https://github.com/FlagOpen/RoboCOIN
470
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
471
+ us.
472
+ support_info: For technical support, please open an issue on our GitHub repository.
473
+ license_details: apache-2.0
474
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
475
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
476
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
477
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
478
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
479
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
480
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
481
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
482
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
483
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
484
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
485
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
486
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
487
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
488
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
489
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
490
+ additional_citations: 'If you use this dataset, please also consider citing:
491
+
492
+ LeRobot Framework: https://github.com/huggingface/lerobot
493
+
494
+ '
495
+ version_info: Initial Release
496
+ data_path: data/chunk-{id}/episode_{id}.parquet
497
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
498
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_diamond_ring.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_diamond_ring
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: bedroom
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: diamond_ring
35
+ level1: daily_necessities
36
+ level2: diamond_ring
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: flip_top_paper_boxes
41
+ level1: packaging
42
+ level2: flip_top_paper_boxes
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 ring into the box.
50
+ sub_tasks:
51
+ - subtask: Place the diamond ring in the box with the right gripper
52
+ subtask_index: 0
53
+ - subtask: End
54
+ subtask_index: 1
55
+ - subtask: Close the lid of the box with the left gripper
56
+ subtask_index: 2
57
+ - subtask: Grasp the diamond ring with the right gripper
58
+ subtask_index: 3
59
+ - subtask: 'null'
60
+ subtask_index: 4
61
+ atomic_actions:
62
+ - grasp
63
+ - place
64
+ - pick
65
+ - turn
66
+ robot_name:
67
+ - Airbot_MMK2
68
+ end_effector_type: five_finger_gripper
69
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
70
+ type information.
71
+ sensor_list:
72
+ - cam_head_rgb
73
+ - cam_left_wrist_rgb
74
+ - cam_right_wrist_rgb
75
+ - cam_front_rgb
76
+ came_info:
77
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
78
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
79
+ pix_fmt=yuv420p
80
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
81
+ pix_fmt=yuv420p
82
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
83
+ depth_enabled: false
84
+ coordinate_definition: right-hand-frame
85
+ joint_rotation_dim: radian
86
+ end_rotation_dim: end_rotation_dim
87
+ end_translation_dim: end_translation_dim
88
+ annotations:
89
+ - eef_acc_mag_annotation.jsonl
90
+ - eef_direction_annotation.jsonl
91
+ - eef_velocity_annotation.jsonl
92
+ - gripper_activity_annotation.jsonl
93
+ - gripper_mode_annotation.jsonl
94
+ - scene_annotations.jsonl
95
+ - subtask_annotations.jsonl
96
+ statistics:
97
+ total_episodes: 50
98
+ total_frames: 9131
99
+ fps: 30
100
+ total_tasks: 5
101
+ total_videos: 200
102
+ total_chunks: 1
103
+ chunks_size: 1000
104
+ state_dim: 36
105
+ action_dim: 36
106
+ camera_views: 4
107
+ dataset_size: 426.97 MB
108
+ frame_num: 9131
109
+ dataset_size: 426.97 MB
110
+ data_structure: "Airbot_MMK2_storage_diamond_ring_qced_hardlink/\n|-- annotations\n\
111
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
112
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
113
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
114
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
115
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
116
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
117
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
118
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
119
+ | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\
120
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
121
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
122
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
123
+ \ `-- observation.images.cam_right_wrist_rgb"
124
+ splits:
125
+ train: 0:49
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_shark_doll.yaml ADDED
@@ -0,0 +1,437 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_shark_doll
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: commercial_convenience
27
+ level2: supermarket
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: shark_doll
41
+ level1: toys
42
+ level2: shark_doll
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: lid
47
+ level1: laboratory_supplies
48
+ level2: lid
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 shark doll and put it in the lid.
56
+ sub_tasks:
57
+ - subtask: Place the whale on the white lid with the right gripper
58
+ subtask_index: 0
59
+ - subtask: Grasp the whale with the left gripper
60
+ subtask_index: 1
61
+ - subtask: Deliver the whale from left gripper to right gripper
62
+ subtask_index: 2
63
+ - subtask: End
64
+ subtask_index: 3
65
+ - subtask: 'null'
66
+ subtask_index: 4
67
+ atomic_actions:
68
+ - grasp
69
+ - place
70
+ - pick
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: 93
103
+ total_frames: 13034
104
+ fps: 30
105
+ total_tasks: 5
106
+ total_videos: 372
107
+ total_chunks: 1
108
+ chunks_size: 1000
109
+ state_dim: 36
110
+ action_dim: 36
111
+ camera_views: 4
112
+ dataset_size: 461.32 MB
113
+ frame_num: 13034
114
+ dataset_size: 461.32 MB
115
+ data_structure: "Airbot_MMK2_storage_shark_doll_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| `-- ... (81 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: 0:92
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_tape_measure_umbrella.yaml ADDED
@@ -0,0 +1,441 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_tape_measure_umbrella
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: basin
35
+ level1: storage_utensils
36
+ level2: basin
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: tape_measure
41
+ level1: rulers
42
+ level2: tape_measure
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: umbrella
47
+ level1: items
48
+ level2: umbrella
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 tape measure and the umbrella in the basin.
56
+ sub_tasks:
57
+ - subtask: End
58
+ subtask_index: 0
59
+ - subtask: Grasp the tape measure with the right gripper
60
+ subtask_index: 1
61
+ - subtask: Grasp the umbrella with the left gripper
62
+ subtask_index: 2
63
+ - subtask: Static
64
+ subtask_index: 3
65
+ - subtask: Place the umbrella in the white basket with the left gripper
66
+ subtask_index: 4
67
+ - subtask: Place the tape measure in the white basket with the right gripper
68
+ subtask_index: 5
69
+ - subtask: 'null'
70
+ subtask_index: 6
71
+ atomic_actions:
72
+ - grasp
73
+ - pick
74
+ - place
75
+ robot_name:
76
+ - Airbot_MMK2
77
+ end_effector_type: five_finger_gripper
78
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
79
+ type information.
80
+ sensor_list:
81
+ - cam_head_rgb
82
+ - cam_left_wrist_rgb
83
+ - cam_right_wrist_rgb
84
+ - cam_front_rgb
85
+ came_info:
86
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
87
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
88
+ pix_fmt=yuv420p
89
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
90
+ pix_fmt=yuv420p
91
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
92
+ depth_enabled: false
93
+ coordinate_definition: right-hand-frame
94
+ joint_rotation_dim: radian
95
+ end_rotation_dim: end_rotation_dim
96
+ end_translation_dim: end_translation_dim
97
+ annotations:
98
+ - eef_acc_mag_annotation.jsonl
99
+ - eef_direction_annotation.jsonl
100
+ - eef_velocity_annotation.jsonl
101
+ - gripper_activity_annotation.jsonl
102
+ - gripper_mode_annotation.jsonl
103
+ - scene_annotations.jsonl
104
+ - subtask_annotations.jsonl
105
+ statistics:
106
+ total_episodes: 40
107
+ total_frames: 7112
108
+ fps: 30
109
+ total_tasks: 7
110
+ total_videos: 160
111
+ total_chunks: 1
112
+ chunks_size: 1000
113
+ state_dim: 36
114
+ action_dim: 36
115
+ camera_views: 4
116
+ dataset_size: 236.10 MB
117
+ frame_num: 7112
118
+ dataset_size: 236.10 MB
119
+ data_structure: "Airbot_MMK2_storage_tape_measure_umbrella_qced_hardlink/\n|-- annotations\n\
120
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
121
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
122
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
123
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
124
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
125
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
126
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
127
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
128
+ | `-- episode_000011.parquet\n| `-- ... (28 more entries)\n|-- meta\n\
129
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
130
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
131
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
132
+ \ `-- observation.images.cam_right_wrist_rgb"
133
+ splits:
134
+ train: 0:39
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_take_bowl_sponge.yaml ADDED
@@ -0,0 +1,441 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_bowl_sponge
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: cleaning_sponge
35
+ level1: cleaning
36
+ level2: cleaning_sponge
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: bowl
41
+ level1: bowl
42
+ level2: bowl
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: table
47
+ level1: furniture
48
+ level2: table
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 sponge and bowl by hand and place them on the table.
56
+ sub_tasks:
57
+ - subtask: Place the sponge on the table with the left gripper
58
+ subtask_index: 0
59
+ - subtask: Abnormal
60
+ subtask_index: 1
61
+ - subtask: Grasp the sponge on the white basket and with the left gripper
62
+ subtask_index: 2
63
+ - subtask: Grasp the bowl on the white basket and with the right gripper
64
+ subtask_index: 3
65
+ - subtask: End
66
+ subtask_index: 4
67
+ - subtask: Place the bowl on the table with the right gripper
68
+ subtask_index: 5
69
+ - subtask: 'null'
70
+ subtask_index: 6
71
+ atomic_actions:
72
+ - grasp
73
+ - pick
74
+ - place
75
+ robot_name:
76
+ - Airbot_MMK2
77
+ end_effector_type: five_finger_gripper
78
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
79
+ type information.
80
+ sensor_list:
81
+ - cam_head_rgb
82
+ - cam_left_wrist_rgb
83
+ - cam_right_wrist_rgb
84
+ - cam_front_rgb
85
+ came_info:
86
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
87
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
88
+ pix_fmt=yuv420p
89
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
90
+ pix_fmt=yuv420p
91
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
92
+ depth_enabled: false
93
+ coordinate_definition: right-hand-frame
94
+ joint_rotation_dim: radian
95
+ end_rotation_dim: end_rotation_dim
96
+ end_translation_dim: end_translation_dim
97
+ annotations:
98
+ - eef_acc_mag_annotation.jsonl
99
+ - eef_direction_annotation.jsonl
100
+ - eef_velocity_annotation.jsonl
101
+ - gripper_activity_annotation.jsonl
102
+ - gripper_mode_annotation.jsonl
103
+ - scene_annotations.jsonl
104
+ - subtask_annotations.jsonl
105
+ statistics:
106
+ total_episodes: 42
107
+ total_frames: 11308
108
+ fps: 30
109
+ total_tasks: 7
110
+ total_videos: 168
111
+ total_chunks: 1
112
+ chunks_size: 1000
113
+ state_dim: 36
114
+ action_dim: 36
115
+ camera_views: 4
116
+ dataset_size: 373.70 MB
117
+ frame_num: 11308
118
+ dataset_size: 373.70 MB
119
+ data_structure: "Airbot_MMK2_take_bowl_sponge_qced_hardlink/\n|-- annotations\n| \
120
+ \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| \
121
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
122
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
123
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
124
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
125
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
126
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
127
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
128
+ | `-- episode_000011.parquet\n| `-- ... (30 more entries)\n|-- meta\n\
129
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
130
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
131
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
132
+ \ `-- observation.images.cam_right_wrist_rgb"
133
+ splits:
134
+ train: 0:41
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_take_dog_doll.yaml ADDED
@@ -0,0 +1,434 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_dog_doll
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: toy_dog
35
+ level1: doll
36
+ level2: toy_dog
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
+ - object_name: table
47
+ level1: furniture
48
+ level2: table
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 toy dog from the white lid by hand and place it on the table.
56
+ sub_tasks:
57
+ - subtask: Place the puppy on the table with the left and right grippers
58
+ subtask_index: 0
59
+ - subtask: Grasp the puppy with the left and right grippers
60
+ subtask_index: 1
61
+ - subtask: End
62
+ subtask_index: 2
63
+ - subtask: 'null'
64
+ subtask_index: 3
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: 6425
102
+ fps: 30
103
+ total_tasks: 4
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: 253.22 MB
111
+ frame_num: 6425
112
+ dataset_size: 253.22 MB
113
+ data_structure: "Airbot_MMK2_take_dog_doll_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| `-- subtask_annotations.jsonl\n\
117
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
118
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
119
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
120
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
121
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
122
+ | `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
123
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
124
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
125
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
126
+ splits:
127
+ train: 0:49
128
+ features:
129
+ observation.images.cam_head_rgb:
130
+ dtype: video
131
+ shape:
132
+ - 480
133
+ - 640
134
+ - 3
135
+ names:
136
+ - height
137
+ - width
138
+ - channels
139
+ info:
140
+ video.height: 480
141
+ video.width: 640
142
+ video.codec: av1
143
+ video.pix_fmt: yuv420p
144
+ video.is_depth_map: false
145
+ video.fps: 30
146
+ video.channels: 3
147
+ has_audio: false
148
+ observation.images.cam_left_wrist_rgb:
149
+ dtype: video
150
+ shape:
151
+ - 480
152
+ - 640
153
+ - 3
154
+ names:
155
+ - height
156
+ - width
157
+ - channels
158
+ info:
159
+ video.height: 480
160
+ video.width: 640
161
+ video.codec: av1
162
+ video.pix_fmt: yuv420p
163
+ video.is_depth_map: false
164
+ video.fps: 30
165
+ video.channels: 3
166
+ has_audio: false
167
+ observation.images.cam_right_wrist_rgb:
168
+ dtype: video
169
+ shape:
170
+ - 480
171
+ - 640
172
+ - 3
173
+ names:
174
+ - height
175
+ - width
176
+ - channels
177
+ info:
178
+ video.height: 480
179
+ video.width: 640
180
+ video.codec: av1
181
+ video.pix_fmt: yuv420p
182
+ video.is_depth_map: false
183
+ video.fps: 30
184
+ video.channels: 3
185
+ has_audio: false
186
+ observation.images.cam_front_rgb:
187
+ dtype: video
188
+ shape:
189
+ - 480
190
+ - 640
191
+ - 3
192
+ names:
193
+ - height
194
+ - width
195
+ - channels
196
+ info:
197
+ video.height: 480
198
+ video.width: 640
199
+ video.codec: av1
200
+ video.pix_fmt: yuv420p
201
+ video.is_depth_map: false
202
+ video.fps: 30
203
+ video.channels: 3
204
+ has_audio: false
205
+ observation.state:
206
+ dtype: float32
207
+ shape:
208
+ - 36
209
+ names:
210
+ - left_arm_joint_1_rad
211
+ - left_arm_joint_2_rad
212
+ - left_arm_joint_3_rad
213
+ - left_arm_joint_4_rad
214
+ - left_arm_joint_5_rad
215
+ - left_arm_joint_6_rad
216
+ - right_arm_joint_1_rad
217
+ - right_arm_joint_2_rad
218
+ - right_arm_joint_3_rad
219
+ - right_arm_joint_4_rad
220
+ - right_arm_joint_5_rad
221
+ - right_arm_joint_6_rad
222
+ - left_hand_joint_1_rad
223
+ - left_hand_joint_2_rad
224
+ - left_hand_joint_3_rad
225
+ - left_hand_joint_4_rad
226
+ - left_hand_joint_5_rad
227
+ - left_hand_joint_6_rad
228
+ - left_hand_joint_7_rad
229
+ - left_hand_joint_8_rad
230
+ - left_hand_joint_9_rad
231
+ - left_hand_joint_10_rad
232
+ - left_hand_joint_11_rad
233
+ - left_hand_joint_12_rad
234
+ - right_hand_joint_1_rad
235
+ - right_hand_joint_2_rad
236
+ - right_hand_joint_3_rad
237
+ - right_hand_joint_4_rad
238
+ - right_hand_joint_5_rad
239
+ - right_hand_joint_6_rad
240
+ - right_hand_joint_7_rad
241
+ - right_hand_joint_8_rad
242
+ - right_hand_joint_9_rad
243
+ - right_hand_joint_10_rad
244
+ - right_hand_joint_11_rad
245
+ - right_hand_joint_12_rad
246
+ action:
247
+ dtype: float32
248
+ shape:
249
+ - 36
250
+ names:
251
+ - left_arm_joint_1_rad
252
+ - left_arm_joint_2_rad
253
+ - left_arm_joint_3_rad
254
+ - left_arm_joint_4_rad
255
+ - left_arm_joint_5_rad
256
+ - left_arm_joint_6_rad
257
+ - right_arm_joint_1_rad
258
+ - right_arm_joint_2_rad
259
+ - right_arm_joint_3_rad
260
+ - right_arm_joint_4_rad
261
+ - right_arm_joint_5_rad
262
+ - right_arm_joint_6_rad
263
+ - left_hand_joint_1_rad
264
+ - left_hand_joint_2_rad
265
+ - left_hand_joint_3_rad
266
+ - left_hand_joint_4_rad
267
+ - left_hand_joint_5_rad
268
+ - left_hand_joint_6_rad
269
+ - left_hand_joint_7_rad
270
+ - left_hand_joint_8_rad
271
+ - left_hand_joint_9_rad
272
+ - left_hand_joint_10_rad
273
+ - left_hand_joint_11_rad
274
+ - left_hand_joint_12_rad
275
+ - right_hand_joint_1_rad
276
+ - right_hand_joint_2_rad
277
+ - right_hand_joint_3_rad
278
+ - right_hand_joint_4_rad
279
+ - right_hand_joint_5_rad
280
+ - right_hand_joint_6_rad
281
+ - right_hand_joint_7_rad
282
+ - right_hand_joint_8_rad
283
+ - right_hand_joint_9_rad
284
+ - right_hand_joint_10_rad
285
+ - right_hand_joint_11_rad
286
+ - right_hand_joint_12_rad
287
+ timestamp:
288
+ dtype: float32
289
+ shape:
290
+ - 1
291
+ names: null
292
+ frame_index:
293
+ dtype: int64
294
+ shape:
295
+ - 1
296
+ names: null
297
+ episode_index:
298
+ dtype: int64
299
+ shape:
300
+ - 1
301
+ names: null
302
+ index:
303
+ dtype: int64
304
+ shape:
305
+ - 1
306
+ names: null
307
+ task_index:
308
+ dtype: int64
309
+ shape:
310
+ - 1
311
+ names: null
312
+ subtask_annotation:
313
+ names: null
314
+ shape:
315
+ - 5
316
+ dtype: int32
317
+ scene_annotation:
318
+ names: null
319
+ shape:
320
+ - 1
321
+ dtype: int32
322
+ eef_sim_pose_state:
323
+ names:
324
+ - left_eef_pos_x
325
+ - left_eef_pos_y
326
+ - left_eef_pos_z
327
+ - left_eef_rot_x
328
+ - left_eef_rot_y
329
+ - left_eef_rot_z
330
+ - right_eef_pos_x
331
+ - right_eef_pos_y
332
+ - right_eef_pos_z
333
+ - right_eef_rot_x
334
+ - right_eef_rot_y
335
+ - right_eef_rot_z
336
+ shape:
337
+ - 12
338
+ dtype: float32
339
+ eef_sim_pose_action:
340
+ names:
341
+ - left_eef_pos_x
342
+ - left_eef_pos_y
343
+ - left_eef_pos_z
344
+ - left_eef_rot_x
345
+ - left_eef_rot_y
346
+ - left_eef_rot_z
347
+ - right_eef_pos_x
348
+ - right_eef_pos_y
349
+ - right_eef_pos_z
350
+ - right_eef_rot_x
351
+ - right_eef_rot_y
352
+ - right_eef_rot_z
353
+ shape:
354
+ - 12
355
+ dtype: float32
356
+ eef_direction_state:
357
+ names:
358
+ - left_eef_direction
359
+ - right_eef_direction
360
+ shape:
361
+ - 2
362
+ dtype: int32
363
+ eef_direction_action:
364
+ names:
365
+ - left_eef_direction
366
+ - right_eef_direction
367
+ shape:
368
+ - 2
369
+ dtype: int32
370
+ eef_velocity_state:
371
+ names:
372
+ - left_eef_velocity
373
+ - right_eef_velocity
374
+ shape:
375
+ - 2
376
+ dtype: int32
377
+ eef_velocity_action:
378
+ names:
379
+ - left_eef_velocity
380
+ - right_eef_velocity
381
+ shape:
382
+ - 2
383
+ dtype: int32
384
+ eef_acc_mag_state:
385
+ names:
386
+ - left_eef_acc_mag
387
+ - right_eef_acc_mag
388
+ shape:
389
+ - 2
390
+ dtype: int32
391
+ eef_acc_mag_action:
392
+ names:
393
+ - left_eef_acc_mag
394
+ - right_eef_acc_mag
395
+ shape:
396
+ - 2
397
+ dtype: int32
398
+ authors:
399
+ contributed_by:
400
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
401
+ dataset_description: This dataset uses an extended format based on LeRobot and is
402
+ fully compatible with LeRobot.
403
+ homepage: https://flagopen.github.io/RoboCOIN/
404
+ paper: https://arxiv.org/abs/2511.17441
405
+ repository: https://github.com/FlagOpen/RoboCOIN
406
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
407
+ us.
408
+ support_info: For technical support, please open an issue on our GitHub repository.
409
+ license_details: apache-2.0
410
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
411
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
412
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
413
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
414
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
415
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
416
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
417
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
418
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
419
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
420
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
421
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
422
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
423
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
424
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
425
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
426
+ additional_citations: 'If you use this dataset, please also consider citing:
427
+
428
+ LeRobot Framework: https://github.com/huggingface/lerobot
429
+
430
+ '
431
+ version_info: Initial Release
432
+ data_path: data/chunk-{id}/episode_{id}.parquet
433
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
434
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_take_part_both_hands.yaml ADDED
@@ -0,0 +1,439 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_part_both_hands
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: item
35
+ level1: item
36
+ level2: item
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: square_building_blocks
41
+ level1: building_blocks
42
+ level2: square_building_blocks
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: table
47
+ level1: furniture
48
+ level2: table
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 items off the building blocks with both hands and place them on the table.
56
+ sub_tasks:
57
+ - subtask: Grasp the steel tube on the cube block with the right gripper
58
+ subtask_index: 0
59
+ - subtask: Grasp the steel tube on the cube block with the left gripper
60
+ subtask_index: 1
61
+ - subtask: Place the steel tube on the table with the left gripper
62
+ subtask_index: 2
63
+ - subtask: Place the steel tube on the table with the right gripper
64
+ subtask_index: 3
65
+ - subtask: End
66
+ subtask_index: 4
67
+ - subtask: 'null'
68
+ subtask_index: 5
69
+ atomic_actions:
70
+ - grasp
71
+ - pick
72
+ - place
73
+ robot_name:
74
+ - Airbot_MMK2
75
+ end_effector_type: five_finger_gripper
76
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
77
+ type information.
78
+ sensor_list:
79
+ - cam_head_rgb
80
+ - cam_left_wrist_rgb
81
+ - cam_right_wrist_rgb
82
+ - cam_front_rgb
83
+ came_info:
84
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
85
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
86
+ pix_fmt=yuv420p
87
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
88
+ pix_fmt=yuv420p
89
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
90
+ depth_enabled: false
91
+ coordinate_definition: right-hand-frame
92
+ joint_rotation_dim: radian
93
+ end_rotation_dim: end_rotation_dim
94
+ end_translation_dim: end_translation_dim
95
+ annotations:
96
+ - eef_acc_mag_annotation.jsonl
97
+ - eef_direction_annotation.jsonl
98
+ - eef_velocity_annotation.jsonl
99
+ - gripper_activity_annotation.jsonl
100
+ - gripper_mode_annotation.jsonl
101
+ - scene_annotations.jsonl
102
+ - subtask_annotations.jsonl
103
+ statistics:
104
+ total_episodes: 50
105
+ total_frames: 6348
106
+ fps: 30
107
+ total_tasks: 6
108
+ total_videos: 200
109
+ total_chunks: 1
110
+ chunks_size: 1000
111
+ state_dim: 36
112
+ action_dim: 36
113
+ camera_views: 4
114
+ dataset_size: 239.11 MB
115
+ frame_num: 6348
116
+ dataset_size: 239.11 MB
117
+ data_structure: "Airbot_MMK2_take_part_both_hands_qced_hardlink/\n|-- annotations\n\
118
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
119
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
120
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
121
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
122
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
123
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
124
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
125
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
126
+ | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\
127
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
128
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
129
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
130
+ \ `-- observation.images.cam_right_wrist_rgb"
131
+ splits:
132
+ train: 0:49
133
+ features:
134
+ observation.images.cam_head_rgb:
135
+ dtype: video
136
+ shape:
137
+ - 480
138
+ - 640
139
+ - 3
140
+ names:
141
+ - height
142
+ - width
143
+ - channels
144
+ info:
145
+ video.height: 480
146
+ video.width: 640
147
+ video.codec: av1
148
+ video.pix_fmt: yuv420p
149
+ video.is_depth_map: false
150
+ video.fps: 30
151
+ video.channels: 3
152
+ has_audio: false
153
+ observation.images.cam_left_wrist_rgb:
154
+ dtype: video
155
+ shape:
156
+ - 480
157
+ - 640
158
+ - 3
159
+ names:
160
+ - height
161
+ - width
162
+ - channels
163
+ info:
164
+ video.height: 480
165
+ video.width: 640
166
+ video.codec: av1
167
+ video.pix_fmt: yuv420p
168
+ video.is_depth_map: false
169
+ video.fps: 30
170
+ video.channels: 3
171
+ has_audio: false
172
+ observation.images.cam_right_wrist_rgb:
173
+ dtype: video
174
+ shape:
175
+ - 480
176
+ - 640
177
+ - 3
178
+ names:
179
+ - height
180
+ - width
181
+ - channels
182
+ info:
183
+ video.height: 480
184
+ video.width: 640
185
+ video.codec: av1
186
+ video.pix_fmt: yuv420p
187
+ video.is_depth_map: false
188
+ video.fps: 30
189
+ video.channels: 3
190
+ has_audio: false
191
+ observation.images.cam_front_rgb:
192
+ dtype: video
193
+ shape:
194
+ - 480
195
+ - 640
196
+ - 3
197
+ names:
198
+ - height
199
+ - width
200
+ - channels
201
+ info:
202
+ video.height: 480
203
+ video.width: 640
204
+ video.codec: av1
205
+ video.pix_fmt: yuv420p
206
+ video.is_depth_map: false
207
+ video.fps: 30
208
+ video.channels: 3
209
+ has_audio: false
210
+ observation.state:
211
+ dtype: float32
212
+ shape:
213
+ - 36
214
+ names:
215
+ - left_arm_joint_1_rad
216
+ - left_arm_joint_2_rad
217
+ - left_arm_joint_3_rad
218
+ - left_arm_joint_4_rad
219
+ - left_arm_joint_5_rad
220
+ - left_arm_joint_6_rad
221
+ - right_arm_joint_1_rad
222
+ - right_arm_joint_2_rad
223
+ - right_arm_joint_3_rad
224
+ - right_arm_joint_4_rad
225
+ - right_arm_joint_5_rad
226
+ - right_arm_joint_6_rad
227
+ - left_hand_joint_1_rad
228
+ - left_hand_joint_2_rad
229
+ - left_hand_joint_3_rad
230
+ - left_hand_joint_4_rad
231
+ - left_hand_joint_5_rad
232
+ - left_hand_joint_6_rad
233
+ - left_hand_joint_7_rad
234
+ - left_hand_joint_8_rad
235
+ - left_hand_joint_9_rad
236
+ - left_hand_joint_10_rad
237
+ - left_hand_joint_11_rad
238
+ - left_hand_joint_12_rad
239
+ - right_hand_joint_1_rad
240
+ - right_hand_joint_2_rad
241
+ - right_hand_joint_3_rad
242
+ - right_hand_joint_4_rad
243
+ - right_hand_joint_5_rad
244
+ - right_hand_joint_6_rad
245
+ - right_hand_joint_7_rad
246
+ - right_hand_joint_8_rad
247
+ - right_hand_joint_9_rad
248
+ - right_hand_joint_10_rad
249
+ - right_hand_joint_11_rad
250
+ - right_hand_joint_12_rad
251
+ action:
252
+ dtype: float32
253
+ shape:
254
+ - 36
255
+ names:
256
+ - left_arm_joint_1_rad
257
+ - left_arm_joint_2_rad
258
+ - left_arm_joint_3_rad
259
+ - left_arm_joint_4_rad
260
+ - left_arm_joint_5_rad
261
+ - left_arm_joint_6_rad
262
+ - right_arm_joint_1_rad
263
+ - right_arm_joint_2_rad
264
+ - right_arm_joint_3_rad
265
+ - right_arm_joint_4_rad
266
+ - right_arm_joint_5_rad
267
+ - right_arm_joint_6_rad
268
+ - left_hand_joint_1_rad
269
+ - left_hand_joint_2_rad
270
+ - left_hand_joint_3_rad
271
+ - left_hand_joint_4_rad
272
+ - left_hand_joint_5_rad
273
+ - left_hand_joint_6_rad
274
+ - left_hand_joint_7_rad
275
+ - left_hand_joint_8_rad
276
+ - left_hand_joint_9_rad
277
+ - left_hand_joint_10_rad
278
+ - left_hand_joint_11_rad
279
+ - left_hand_joint_12_rad
280
+ - right_hand_joint_1_rad
281
+ - right_hand_joint_2_rad
282
+ - right_hand_joint_3_rad
283
+ - right_hand_joint_4_rad
284
+ - right_hand_joint_5_rad
285
+ - right_hand_joint_6_rad
286
+ - right_hand_joint_7_rad
287
+ - right_hand_joint_8_rad
288
+ - right_hand_joint_9_rad
289
+ - right_hand_joint_10_rad
290
+ - right_hand_joint_11_rad
291
+ - right_hand_joint_12_rad
292
+ timestamp:
293
+ dtype: float32
294
+ shape:
295
+ - 1
296
+ names: null
297
+ frame_index:
298
+ dtype: int64
299
+ shape:
300
+ - 1
301
+ names: null
302
+ episode_index:
303
+ dtype: int64
304
+ shape:
305
+ - 1
306
+ names: null
307
+ index:
308
+ dtype: int64
309
+ shape:
310
+ - 1
311
+ names: null
312
+ task_index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ subtask_annotation:
318
+ names: null
319
+ shape:
320
+ - 5
321
+ dtype: int32
322
+ scene_annotation:
323
+ names: null
324
+ shape:
325
+ - 1
326
+ dtype: int32
327
+ eef_sim_pose_state:
328
+ names:
329
+ - left_eef_pos_x
330
+ - left_eef_pos_y
331
+ - left_eef_pos_z
332
+ - left_eef_rot_x
333
+ - left_eef_rot_y
334
+ - left_eef_rot_z
335
+ - right_eef_pos_x
336
+ - right_eef_pos_y
337
+ - right_eef_pos_z
338
+ - right_eef_rot_x
339
+ - right_eef_rot_y
340
+ - right_eef_rot_z
341
+ shape:
342
+ - 12
343
+ dtype: float32
344
+ eef_sim_pose_action:
345
+ names:
346
+ - left_eef_pos_x
347
+ - left_eef_pos_y
348
+ - left_eef_pos_z
349
+ - left_eef_rot_x
350
+ - left_eef_rot_y
351
+ - left_eef_rot_z
352
+ - right_eef_pos_x
353
+ - right_eef_pos_y
354
+ - right_eef_pos_z
355
+ - right_eef_rot_x
356
+ - right_eef_rot_y
357
+ - right_eef_rot_z
358
+ shape:
359
+ - 12
360
+ dtype: float32
361
+ eef_direction_state:
362
+ names:
363
+ - left_eef_direction
364
+ - right_eef_direction
365
+ shape:
366
+ - 2
367
+ dtype: int32
368
+ eef_direction_action:
369
+ names:
370
+ - left_eef_direction
371
+ - right_eef_direction
372
+ shape:
373
+ - 2
374
+ dtype: int32
375
+ eef_velocity_state:
376
+ names:
377
+ - left_eef_velocity
378
+ - right_eef_velocity
379
+ shape:
380
+ - 2
381
+ dtype: int32
382
+ eef_velocity_action:
383
+ names:
384
+ - left_eef_velocity
385
+ - right_eef_velocity
386
+ shape:
387
+ - 2
388
+ dtype: int32
389
+ eef_acc_mag_state:
390
+ names:
391
+ - left_eef_acc_mag
392
+ - right_eef_acc_mag
393
+ shape:
394
+ - 2
395
+ dtype: int32
396
+ eef_acc_mag_action:
397
+ names:
398
+ - left_eef_acc_mag
399
+ - right_eef_acc_mag
400
+ shape:
401
+ - 2
402
+ dtype: int32
403
+ authors:
404
+ contributed_by:
405
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
406
+ dataset_description: This dataset uses an extended format based on LeRobot and is
407
+ fully compatible with LeRobot.
408
+ homepage: https://flagopen.github.io/RoboCOIN/
409
+ paper: https://arxiv.org/abs/2511.17441
410
+ repository: https://github.com/FlagOpen/RoboCOIN
411
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
412
+ us.
413
+ support_info: For technical support, please open an issue on our GitHub repository.
414
+ license_details: apache-2.0
415
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
416
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
417
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
418
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
419
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
420
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
421
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
422
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
423
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
424
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
425
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
426
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
427
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
428
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
429
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
430
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
431
+ additional_citations: 'If you use this dataset, please also consider citing:
432
+
433
+ LeRobot Framework: https://github.com/huggingface/lerobot
434
+
435
+ '
436
+ version_info: Initial Release
437
+ data_path: data/chunk-{id}/episode_{id}.parquet
438
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
439
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_pour_solid.yaml ADDED
@@ -0,0 +1,569 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Galaxea_R1_Lite_pour_solid
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: ousehhold
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: white_table
35
+ level1: furniture
36
+ level2: white_table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: plastic_cup
41
+ level1: cups
42
+ level2: plastic_cup
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: green_dish
47
+ level1: plates
48
+ level2: green_dish
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: pink_bowl
53
+ level1: plastic_bowls
54
+ level2: pink_bowl
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: solid
59
+ level1: materials
60
+ level2: solid
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
65
+ the operation type information.
66
+ task_instruction:
67
+ - use a gripper to pick up the cup and pour the solid into a bowl or tray.
68
+ sub_tasks:
69
+ - subtask: Grasp the glass of shrimp with the left gripper
70
+ subtask_index: 0
71
+ - subtask: Pick up blue cup filled with coffee beans with left gripper
72
+ subtask_index: 1
73
+ - subtask: Place blue cup with coffee beans on the table with left gripper
74
+ subtask_index: 2
75
+ - subtask: Pour the shrimp into the green bowl with the left gripper
76
+ subtask_index: 3
77
+ - subtask: Pour the coffee beans into the pink bowl with the left gripper
78
+ subtask_index: 4
79
+ - subtask: Pour the coffee beans into the pink bowl with the right gripper
80
+ subtask_index: 5
81
+ - subtask: Left gripper
82
+ subtask_index: 6
83
+ - subtask: Pour the shrimp into the green bowl with the right gripper
84
+ subtask_index: 7
85
+ - subtask: Pick up blue cup filled with shrimp with left gripper
86
+ subtask_index: 8
87
+ - subtask: Place blue cup with shrimp on the table with left gripper
88
+ subtask_index: 9
89
+ - subtask: Pick up blue cup filled with coffee beans with right gripper
90
+ subtask_index: 10
91
+ - subtask: Grasp the glass of coffee beans with the left gripper
92
+ subtask_index: 11
93
+ - subtask: Pour the shrimp into the pink bowl with left gripper
94
+ subtask_index: 12
95
+ - subtask: Pour the coffee beans into the green bowl with the left gripper
96
+ subtask_index: 13
97
+ - subtask: Pour the coffee beans into the pink bowl with left gripper
98
+ subtask_index: 14
99
+ - subtask: Grasp the glass of coffee beans with the right gripper
100
+ subtask_index: 15
101
+ - subtask: Pour the coffee beans into the green plate with the right gripper
102
+ subtask_index: 16
103
+ - subtask: Pour the shrimp into the pink bowl with the right gripper
104
+ subtask_index: 17
105
+ - subtask: Grasp the glass of shrimp with the right gripper
106
+ subtask_index: 18
107
+ - subtask: Pour the coffee beans into the green plate with the left gripper
108
+ subtask_index: 19
109
+ - subtask: Place blue cup with coffee powder on the table with left gripper
110
+ subtask_index: 20
111
+ - subtask: Place the glass cup with the right gripper
112
+ subtask_index: 21
113
+ - subtask: Place blue cup with coffee beans on the table with right gripper
114
+ subtask_index: 22
115
+ - subtask: End
116
+ subtask_index: 23
117
+ - subtask: Pour the coffee beans into the green bowl with the right gripper
118
+ subtask_index: 24
119
+ - subtask: Place blue cup with shrimp on the table with right gripper
120
+ subtask_index: 25
121
+ - subtask: Pick up blue cup filled with shrimp with right gripper
122
+ subtask_index: 26
123
+ - subtask: Pour the shrimp into the pink bowl with right gripper
124
+ subtask_index: 27
125
+ - subtask: Pour the shrimp into the pink bowl with the left gripper
126
+ subtask_index: 28
127
+ - subtask: Pour the shrimp into the blue basin with left gripper
128
+ subtask_index: 29
129
+ - subtask: Pour the coffee beans into the blue basin with right gripper
130
+ subtask_index: 30
131
+ - subtask: Right gripper
132
+ subtask_index: 31
133
+ - subtask: Pour the shrimp into the blue basin with right gripper
134
+ subtask_index: 32
135
+ - subtask: Place the glass cup with the left gripper
136
+ subtask_index: 33
137
+ - subtask: 'null'
138
+ subtask_index: 34
139
+ atomic_actions:
140
+ - grasp
141
+ - pick
142
+ - place
143
+ - pour
144
+ robot_name:
145
+ - Galaxea_R1_Lite
146
+ end_effector_type: two_finger_gripper
147
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
148
+ type information.
149
+ sensor_list:
150
+ - cam_head_left_rgb
151
+ - cam_head_right_rgb
152
+ - cam_left_wrist_rgb
153
+ - cam_right_wrist_rgb
154
+ came_info:
155
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
156
+ pix_fmt=yuv420p
157
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
158
+ pix_fmt=yuv420p
159
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
160
+ pix_fmt=yuv420p
161
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
162
+ pix_fmt=yuv420p
163
+ depth_enabled: false
164
+ coordinate_definition: right-hand-frame
165
+ joint_rotation_dim: radian
166
+ end_rotation_dim: end_rotation_dim
167
+ end_translation_dim: end_translation_dim
168
+ annotations:
169
+ - eef_acc_mag_annotation.jsonl
170
+ - eef_direction_annotation.jsonl
171
+ - eef_velocity_annotation.jsonl
172
+ - gripper_activity_annotation.jsonl
173
+ - gripper_mode_annotation.jsonl
174
+ - scene_annotations.jsonl
175
+ - subtask_annotations.jsonl
176
+ statistics:
177
+ total_episodes: 39
178
+ total_frames: 16353
179
+ fps: 30
180
+ total_tasks: 35
181
+ total_videos: 156
182
+ total_chunks: 1
183
+ chunks_size: 1000
184
+ state_dim: 14
185
+ action_dim: 14
186
+ camera_views: 4
187
+ dataset_size: 459.77 MB
188
+ frame_num: 16353
189
+ dataset_size: 459.77 MB
190
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_pour_solid_qced_hardlink/
191
+
192
+ |-- annotations
193
+
194
+ | |-- eef_acc_mag_annotation.jsonl
195
+
196
+ | |-- eef_direction_annotation.jsonl
197
+
198
+ | |-- eef_velocity_annotation.jsonl
199
+
200
+ | |-- gripper_activity_annotation.jsonl
201
+
202
+ | |-- gripper_mode_annotation.jsonl
203
+
204
+ | |-- scene_annotations.jsonl
205
+
206
+ | `-- subtask_annotations.jsonl
207
+
208
+ |-- data
209
+
210
+ | `-- chunk-000
211
+
212
+ | |-- episode_000000.parquet
213
+
214
+ | |-- episode_000001.parquet
215
+
216
+ | |-- episode_000002.parquet
217
+
218
+ | |-- episode_000003.parquet
219
+
220
+ | |-- episode_000004.parquet
221
+
222
+ | |-- episode_000005.parquet
223
+
224
+ | |-- episode_000006.parquet
225
+
226
+ | |-- episode_000007.parquet
227
+
228
+ | |-- episode_000008.parquet
229
+
230
+ | |-- episode_000009.parquet
231
+
232
+ | |-- episode_000010.parquet
233
+
234
+ | `-- episode_000011.parquet
235
+
236
+ | `-- ... (27 more entries)
237
+
238
+ |-- meta
239
+
240
+ | |-- episodes.jsonl
241
+
242
+ | |-- episodes_stats.jsonl
243
+
244
+ | |-- info.json
245
+
246
+ | `-- tasks.jsonl
247
+
248
+ |-- videos
249
+
250
+ | `-- chunk-000
251
+
252
+ | |-- observation.images.cam_head_left_rgb
253
+
254
+ | |-- observation.images.cam_head_right_rgb
255
+
256
+ | |-- observation.images.cam_left_wrist_rgb
257
+
258
+ | `-- observation.images.cam_right_wrist_rgb
259
+
260
+ |-- info.yaml
261
+
262
+ `-- README.md'
263
+ splits:
264
+ train: 0:38
265
+ features:
266
+ observation.images.cam_head_left_rgb:
267
+ dtype: video
268
+ shape:
269
+ - 720
270
+ - 1280
271
+ - 3
272
+ names:
273
+ - height
274
+ - width
275
+ - channels
276
+ info:
277
+ video.height: 720
278
+ video.width: 1280
279
+ video.codec: av1
280
+ video.pix_fmt: yuv420p
281
+ video.is_depth_map: false
282
+ video.fps: 30
283
+ video.channels: 3
284
+ has_audio: false
285
+ observation.images.cam_head_right_rgb:
286
+ dtype: video
287
+ shape:
288
+ - 720
289
+ - 1280
290
+ - 3
291
+ names:
292
+ - height
293
+ - width
294
+ - channels
295
+ info:
296
+ video.height: 720
297
+ video.width: 1280
298
+ video.codec: av1
299
+ video.pix_fmt: yuv420p
300
+ video.is_depth_map: false
301
+ video.fps: 30
302
+ video.channels: 3
303
+ has_audio: false
304
+ observation.images.cam_left_wrist_rgb:
305
+ dtype: video
306
+ shape:
307
+ - 360
308
+ - 640
309
+ - 3
310
+ names:
311
+ - height
312
+ - width
313
+ - channels
314
+ info:
315
+ video.height: 360
316
+ video.width: 640
317
+ video.codec: av1
318
+ video.pix_fmt: yuv420p
319
+ video.is_depth_map: false
320
+ video.fps: 30
321
+ video.channels: 3
322
+ has_audio: false
323
+ observation.images.cam_right_wrist_rgb:
324
+ dtype: video
325
+ shape:
326
+ - 360
327
+ - 640
328
+ - 3
329
+ names:
330
+ - height
331
+ - width
332
+ - channels
333
+ info:
334
+ video.height: 360
335
+ video.width: 640
336
+ video.codec: av1
337
+ video.pix_fmt: yuv420p
338
+ video.is_depth_map: false
339
+ video.fps: 30
340
+ video.channels: 3
341
+ has_audio: false
342
+ observation.state:
343
+ dtype: float32
344
+ shape:
345
+ - 14
346
+ names:
347
+ - left_arm_joint_1_rad
348
+ - left_arm_joint_2_rad
349
+ - left_arm_joint_3_rad
350
+ - left_arm_joint_4_rad
351
+ - left_arm_joint_5_rad
352
+ - left_arm_joint_6_rad
353
+ - right_arm_joint_1_rad
354
+ - right_arm_joint_2_rad
355
+ - right_arm_joint_3_rad
356
+ - right_arm_joint_4_rad
357
+ - right_arm_joint_5_rad
358
+ - right_arm_joint_6_rad
359
+ - left_gripper_open
360
+ - right_gripper_open
361
+ action:
362
+ dtype: float32
363
+ shape:
364
+ - 14
365
+ names:
366
+ - left_arm_joint_1_rad
367
+ - left_arm_joint_2_rad
368
+ - left_arm_joint_3_rad
369
+ - left_arm_joint_4_rad
370
+ - left_arm_joint_5_rad
371
+ - left_arm_joint_6_rad
372
+ - right_arm_joint_1_rad
373
+ - right_arm_joint_2_rad
374
+ - right_arm_joint_3_rad
375
+ - right_arm_joint_4_rad
376
+ - right_arm_joint_5_rad
377
+ - right_arm_joint_6_rad
378
+ - left_gripper_open
379
+ - right_gripper_open
380
+ timestamp:
381
+ dtype: float32
382
+ shape:
383
+ - 1
384
+ names: null
385
+ frame_index:
386
+ dtype: int64
387
+ shape:
388
+ - 1
389
+ names: null
390
+ episode_index:
391
+ dtype: int64
392
+ shape:
393
+ - 1
394
+ names: null
395
+ index:
396
+ dtype: int64
397
+ shape:
398
+ - 1
399
+ names: null
400
+ task_index:
401
+ dtype: int64
402
+ shape:
403
+ - 1
404
+ names: null
405
+ subtask_annotation:
406
+ names: null
407
+ shape:
408
+ - 5
409
+ dtype: int32
410
+ scene_annotation:
411
+ names: null
412
+ shape:
413
+ - 1
414
+ dtype: int32
415
+ eef_sim_pose_state:
416
+ names:
417
+ - left_eef_pos_x
418
+ - left_eef_pos_y
419
+ - left_eef_pos_z
420
+ - left_eef_rot_x
421
+ - left_eef_rot_y
422
+ - left_eef_rot_z
423
+ - right_eef_pos_x
424
+ - right_eef_pos_y
425
+ - right_eef_pos_z
426
+ - right_eef_rot_x
427
+ - right_eef_rot_y
428
+ - right_eef_rot_z
429
+ shape:
430
+ - 12
431
+ dtype: float32
432
+ eef_sim_pose_action:
433
+ names:
434
+ - left_eef_pos_x
435
+ - left_eef_pos_y
436
+ - left_eef_pos_z
437
+ - left_eef_rot_x
438
+ - left_eef_rot_y
439
+ - left_eef_rot_z
440
+ - right_eef_pos_x
441
+ - right_eef_pos_y
442
+ - right_eef_pos_z
443
+ - right_eef_rot_x
444
+ - right_eef_rot_y
445
+ - right_eef_rot_z
446
+ shape:
447
+ - 12
448
+ dtype: float32
449
+ eef_direction_state:
450
+ names:
451
+ - left_eef_direction
452
+ - right_eef_direction
453
+ shape:
454
+ - 2
455
+ dtype: int32
456
+ eef_direction_action:
457
+ names:
458
+ - left_eef_direction
459
+ - right_eef_direction
460
+ shape:
461
+ - 2
462
+ dtype: int32
463
+ eef_velocity_state:
464
+ names:
465
+ - left_eef_velocity
466
+ - right_eef_velocity
467
+ shape:
468
+ - 2
469
+ dtype: int32
470
+ eef_velocity_action:
471
+ names:
472
+ - left_eef_velocity
473
+ - right_eef_velocity
474
+ shape:
475
+ - 2
476
+ dtype: int32
477
+ eef_acc_mag_state:
478
+ names:
479
+ - left_eef_acc_mag
480
+ - right_eef_acc_mag
481
+ shape:
482
+ - 2
483
+ dtype: int32
484
+ eef_acc_mag_action:
485
+ names:
486
+ - left_eef_acc_mag
487
+ - right_eef_acc_mag
488
+ shape:
489
+ - 2
490
+ dtype: int32
491
+ gripper_open_scale_state:
492
+ names:
493
+ - left_gripper_open_scale
494
+ - right_gripper_open_scale
495
+ shape:
496
+ - 2
497
+ dtype: float32
498
+ gripper_open_scale_action:
499
+ names:
500
+ - left_gripper_open_scale
501
+ - right_gripper_open_scale
502
+ shape:
503
+ - 2
504
+ dtype: float32
505
+ gripper_mode_state:
506
+ names:
507
+ - left_gripper_mode
508
+ - right_gripper_mode
509
+ shape:
510
+ - 2
511
+ dtype: int32
512
+ gripper_mode_action:
513
+ names:
514
+ - left_gripper_mode
515
+ - right_gripper_mode
516
+ shape:
517
+ - 2
518
+ dtype: int32
519
+ gripper_activity_state:
520
+ names:
521
+ - left_gripper_activity
522
+ - right_gripper_activity
523
+ shape:
524
+ - 2
525
+ dtype: int32
526
+ gripper_activity_action:
527
+ names:
528
+ - left_gripper_activity
529
+ - right_gripper_activity
530
+ shape:
531
+ - 2
532
+ dtype: int32
533
+ authors:
534
+ contributed_by:
535
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
536
+ dataset_description: This dataset uses an extended format based on LeRobot and is
537
+ fully compatible with LeRobot.
538
+ homepage: https://flagopen.github.io/RoboCOIN/
539
+ paper: https://arxiv.org/abs/2511.17441
540
+ repository: https://github.com/FlagOpen/RoboCOIN
541
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
542
+ us.
543
+ support_info: For technical support, please open an issue on our GitHub repository.
544
+ license_details: apache-2.0
545
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
546
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
547
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
548
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
549
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
550
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
551
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
552
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
553
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
554
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
555
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
556
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
557
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
558
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
559
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
560
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
561
+ additional_citations: 'If you use this dataset, please also consider citing:
562
+
563
+ LeRobot Framework: https://github.com/huggingface/lerobot
564
+
565
+ '
566
+ version_info: Initial Release
567
+ data_path: data/chunk-{id}/episode_{id}.parquet
568
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
569
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Realman_RMC-AIDA-L_storage_peach_drawer.yaml ADDED
@@ -0,0 +1,500 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Realman_RMC-AIDA-L_storage_peach_drawer
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: table
35
+ level1: furniture
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: drawer
41
+ level1: storage_utensils
42
+ level2: drawer
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: peach
47
+ level1: fruit
48
+ level2: peach
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
+ - the right gripper grasp the peach on the table and place it into the drawer, the
56
+ left gripper close the drawer.
57
+ sub_tasks:
58
+ - subtask: Close the drawer with the left gripper
59
+ subtask_index: 0
60
+ - subtask: Place the peach into the top drawer with the right gripper
61
+ subtask_index: 1
62
+ - subtask: end
63
+ subtask_index: 2
64
+ - subtask: Grasp the peach with the right gripper
65
+ subtask_index: 3
66
+ - subtask: 'null'
67
+ subtask_index: 4
68
+ atomic_actions:
69
+ - grasp
70
+ - pick
71
+ - place
72
+ robot_name:
73
+ - Realman_RMC-AIDA-L
74
+ end_effector_type: two_finger_gripper
75
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
76
+ type information.
77
+ sensor_list:
78
+ - cam_head_rgb
79
+ - cam_left_wrist_rgb
80
+ - cam_right_wrist_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
+ depth_enabled: false
88
+ coordinate_definition: right-hand-frame
89
+ joint_rotation_dim: radian
90
+ end_rotation_dim: radian
91
+ end_translation_dim: meter
92
+ annotations:
93
+ - eef_acc_mag_annotation.jsonl
94
+ - eef_direction_annotation.jsonl
95
+ - eef_velocity_annotation.jsonl
96
+ - gripper_activity_annotation.jsonl
97
+ - gripper_mode_annotation.jsonl
98
+ - scene_annotations.jsonl
99
+ - subtask_annotations.jsonl
100
+ statistics:
101
+ total_episodes: 120
102
+ total_frames: 46600
103
+ fps: 30
104
+ total_tasks: 5
105
+ total_videos: 360
106
+ total_chunks: 1
107
+ chunks_size: 1000
108
+ state_dim: 28
109
+ action_dim: 28
110
+ camera_views: 3
111
+ dataset_size: 596.03 MB
112
+ frame_num: 46600
113
+ dataset_size: 596.03 MB
114
+ data_structure: 'Realman_RMC-AIDA-L_storage_peach_drawer_qced_hardlink/
115
+
116
+ |-- annotations
117
+
118
+ | |-- eef_acc_mag_annotation.jsonl
119
+
120
+ | |-- eef_direction_annotation.jsonl
121
+
122
+ | |-- eef_velocity_annotation.jsonl
123
+
124
+ | |-- gripper_activity_annotation.jsonl
125
+
126
+ | |-- gripper_mode_annotation.jsonl
127
+
128
+ | |-- scene_annotations.jsonl
129
+
130
+ | `-- subtask_annotations.jsonl
131
+
132
+ |-- data
133
+
134
+ | `-- chunk-000
135
+
136
+ | |-- episode_000000.parquet
137
+
138
+ | |-- episode_000001.parquet
139
+
140
+ | |-- episode_000002.parquet
141
+
142
+ | |-- episode_000003.parquet
143
+
144
+ | |-- episode_000004.parquet
145
+
146
+ | |-- episode_000005.parquet
147
+
148
+ | |-- episode_000006.parquet
149
+
150
+ | |-- episode_000007.parquet
151
+
152
+ | |-- episode_000008.parquet
153
+
154
+ | |-- episode_000009.parquet
155
+
156
+ | |-- episode_000010.parquet
157
+
158
+ | `-- episode_000011.parquet
159
+
160
+ | `-- ... (108 more entries)
161
+
162
+ |-- meta
163
+
164
+ | |-- episodes.jsonl
165
+
166
+ | |-- episodes_stats.jsonl
167
+
168
+ | |-- info.json
169
+
170
+ | `-- tasks.jsonl
171
+
172
+ |-- videos
173
+
174
+ | `-- chunk-000
175
+
176
+ | |-- observation.images.cam_head_rgb
177
+
178
+ | |-- observation.images.cam_left_wrist_rgb
179
+
180
+ | `-- observation.images.cam_right_wrist_rgb
181
+
182
+ |-- info.yaml
183
+
184
+ `-- README.md'
185
+ splits:
186
+ train: 0:119
187
+ features:
188
+ observation.images.cam_head_rgb:
189
+ dtype: video
190
+ shape:
191
+ - 480
192
+ - 640
193
+ - 3
194
+ names:
195
+ - height
196
+ - width
197
+ - channels
198
+ info:
199
+ video.height: 480
200
+ video.width: 640
201
+ video.codec: av1
202
+ video.pix_fmt: yuv420p
203
+ video.is_depth_map: false
204
+ video.fps: 30
205
+ video.channels: 3
206
+ has_audio: false
207
+ observation.images.cam_left_wrist_rgb:
208
+ dtype: video
209
+ shape:
210
+ - 480
211
+ - 640
212
+ - 3
213
+ names:
214
+ - height
215
+ - width
216
+ - channels
217
+ info:
218
+ video.height: 480
219
+ video.width: 640
220
+ video.codec: av1
221
+ video.pix_fmt: yuv420p
222
+ video.is_depth_map: false
223
+ video.fps: 30
224
+ video.channels: 3
225
+ has_audio: false
226
+ observation.images.cam_right_wrist_rgb:
227
+ dtype: video
228
+ shape:
229
+ - 480
230
+ - 640
231
+ - 3
232
+ names:
233
+ - height
234
+ - width
235
+ - channels
236
+ info:
237
+ video.height: 480
238
+ video.width: 640
239
+ video.codec: av1
240
+ video.pix_fmt: yuv420p
241
+ video.is_depth_map: false
242
+ video.fps: 30
243
+ video.channels: 3
244
+ has_audio: false
245
+ observation.state:
246
+ dtype: float32
247
+ shape:
248
+ - 28
249
+ names:
250
+ - right_arm_joint_1_rad
251
+ - right_arm_joint_2_rad
252
+ - right_arm_joint_3_rad
253
+ - right_arm_joint_4_rad
254
+ - right_arm_joint_5_rad
255
+ - right_arm_joint_6_rad
256
+ - right_arm_joint_7_rad
257
+ - right_gripper_open
258
+ - right_eef_pos_x_m
259
+ - right_eef_pos_y_m
260
+ - right_eef_pos_z_m
261
+ - right_eef_rot_euler_x_rad
262
+ - right_eef_rot_euler_y_rad
263
+ - right_eef_rot_euler_z_rad
264
+ - left_arm_joint_1_rad
265
+ - left_arm_joint_2_rad
266
+ - left_arm_joint_3_rad
267
+ - left_arm_joint_4_rad
268
+ - left_arm_joint_5_rad
269
+ - left_arm_joint_6_rad
270
+ - left_arm_joint_7_rad
271
+ - left_gripper_open
272
+ - left_eef_pos_x_m
273
+ - left_eef_pos_y_m
274
+ - left_eef_pos_z_m
275
+ - left_eef_rot_euler_x_rad
276
+ - left_eef_rot_euler_y_rad
277
+ - left_eef_rot_euler_z_rad
278
+ action:
279
+ dtype: float32
280
+ shape:
281
+ - 28
282
+ names:
283
+ - right_arm_joint_1_rad
284
+ - right_arm_joint_2_rad
285
+ - right_arm_joint_3_rad
286
+ - right_arm_joint_4_rad
287
+ - right_arm_joint_5_rad
288
+ - right_arm_joint_6_rad
289
+ - right_arm_joint_7_rad
290
+ - right_gripper_open
291
+ - right_eef_pos_x_m
292
+ - right_eef_pos_y_m
293
+ - right_eef_pos_z_m
294
+ - right_eef_rot_euler_x_rad
295
+ - right_eef_rot_euler_y_rad
296
+ - right_eef_rot_euler_z_rad
297
+ - left_arm_joint_1_rad
298
+ - left_arm_joint_2_rad
299
+ - left_arm_joint_3_rad
300
+ - left_arm_joint_4_rad
301
+ - left_arm_joint_5_rad
302
+ - left_arm_joint_6_rad
303
+ - left_arm_joint_7_rad
304
+ - left_gripper_open
305
+ - left_eef_pos_x_m
306
+ - left_eef_pos_y_m
307
+ - left_eef_pos_z_m
308
+ - left_eef_rot_euler_x_rad
309
+ - left_eef_rot_euler_y_rad
310
+ - left_eef_rot_euler_z_rad
311
+ timestamp:
312
+ dtype: float32
313
+ shape:
314
+ - 1
315
+ names: null
316
+ frame_index:
317
+ dtype: int64
318
+ shape:
319
+ - 1
320
+ names: null
321
+ episode_index:
322
+ dtype: int64
323
+ shape:
324
+ - 1
325
+ names: null
326
+ index:
327
+ dtype: int64
328
+ shape:
329
+ - 1
330
+ names: null
331
+ task_index:
332
+ dtype: int64
333
+ shape:
334
+ - 1
335
+ names: null
336
+ subtask_annotation:
337
+ names: null
338
+ shape:
339
+ - 5
340
+ dtype: int32
341
+ scene_annotation:
342
+ names: null
343
+ shape:
344
+ - 1
345
+ dtype: int32
346
+ eef_sim_pose_state:
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_sim_pose_action:
364
+ names:
365
+ - left_eef_pos_x
366
+ - left_eef_pos_y
367
+ - left_eef_pos_z
368
+ - left_eef_rot_x
369
+ - left_eef_rot_y
370
+ - left_eef_rot_z
371
+ - right_eef_pos_x
372
+ - right_eef_pos_y
373
+ - right_eef_pos_z
374
+ - right_eef_rot_x
375
+ - right_eef_rot_y
376
+ - right_eef_rot_z
377
+ shape:
378
+ - 12
379
+ dtype: float32
380
+ eef_direction_state:
381
+ names:
382
+ - left_eef_direction
383
+ - right_eef_direction
384
+ shape:
385
+ - 2
386
+ dtype: int32
387
+ eef_direction_action:
388
+ names:
389
+ - left_eef_direction
390
+ - right_eef_direction
391
+ shape:
392
+ - 2
393
+ dtype: int32
394
+ eef_velocity_state:
395
+ names:
396
+ - left_eef_velocity
397
+ - right_eef_velocity
398
+ shape:
399
+ - 2
400
+ dtype: int32
401
+ eef_velocity_action:
402
+ names:
403
+ - left_eef_velocity
404
+ - right_eef_velocity
405
+ shape:
406
+ - 2
407
+ dtype: int32
408
+ eef_acc_mag_state:
409
+ names:
410
+ - left_eef_acc_mag
411
+ - right_eef_acc_mag
412
+ shape:
413
+ - 2
414
+ dtype: int32
415
+ eef_acc_mag_action:
416
+ names:
417
+ - left_eef_acc_mag
418
+ - right_eef_acc_mag
419
+ shape:
420
+ - 2
421
+ dtype: int32
422
+ gripper_open_scale_state:
423
+ names:
424
+ - left_gripper_open_scale
425
+ - right_gripper_open_scale
426
+ shape:
427
+ - 2
428
+ dtype: float32
429
+ gripper_open_scale_action:
430
+ names:
431
+ - left_gripper_open_scale
432
+ - right_gripper_open_scale
433
+ shape:
434
+ - 2
435
+ dtype: float32
436
+ gripper_mode_state:
437
+ names:
438
+ - left_gripper_mode
439
+ - right_gripper_mode
440
+ shape:
441
+ - 2
442
+ dtype: int32
443
+ gripper_mode_action:
444
+ names:
445
+ - left_gripper_mode
446
+ - right_gripper_mode
447
+ shape:
448
+ - 2
449
+ dtype: int32
450
+ gripper_activity_state:
451
+ names:
452
+ - left_gripper_activity
453
+ - right_gripper_activity
454
+ shape:
455
+ - 2
456
+ dtype: int32
457
+ gripper_activity_action:
458
+ names:
459
+ - left_gripper_activity
460
+ - right_gripper_activity
461
+ shape:
462
+ - 2
463
+ dtype: int32
464
+ authors:
465
+ contributed_by:
466
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
467
+ dataset_description: This dataset uses an extended format based on LeRobot and is
468
+ fully compatible with LeRobot.
469
+ homepage: https://flagopen.github.io/RoboCOIN/
470
+ paper: https://arxiv.org/abs/2511.17441
471
+ repository: https://github.com/FlagOpen/RoboCOIN
472
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
473
+ us.
474
+ support_info: For technical support, please open an issue on our GitHub repository.
475
+ license_details: apache-2.0
476
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
477
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
478
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
479
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
480
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
481
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
482
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
483
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
484
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
485
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
486
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
487
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
488
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
489
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
490
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
491
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
492
+ additional_citations: 'If you use this dataset, please also consider citing:
493
+
494
+ LeRobot Framework: https://github.com/huggingface/lerobot
495
+
496
+ '
497
+ version_info: Initial Release
498
+ data_path: data/chunk-{id}/episode_{id}.parquet
499
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
500
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Realman_RMC-AIDA-L_storage_towel_basket.yaml ADDED
@@ -0,0 +1,502 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: Realman_RMC-AIDA-L_storage_towel_basket
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: table
35
+ level1: furniture
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: basket
41
+ level1: home_storage
42
+ level2: basket
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: towel
47
+ level1: daily_necessities
48
+ level2: towel
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
+ - the left gripper grasp the basket on the table, the right grippe pick up the towel
56
+ on the table and place it into the basket.
57
+ sub_tasks:
58
+ - subtask: Place the towel into the basket with the right gripper
59
+ subtask_index: 0
60
+ - subtask: Abnormal
61
+ subtask_index: 1
62
+ - subtask: PIck up the basket with the left gripper
63
+ subtask_index: 2
64
+ - subtask: PIck up the towel with the right gripper
65
+ subtask_index: 3
66
+ - subtask: end
67
+ subtask_index: 4
68
+ - subtask: 'null'
69
+ subtask_index: 5
70
+ atomic_actions:
71
+ - grasp
72
+ - pick
73
+ - place
74
+ robot_name:
75
+ - Realman_RMC-AIDA-L
76
+ end_effector_type: two_finger_gripper
77
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
78
+ type information.
79
+ sensor_list:
80
+ - cam_head_rgb
81
+ - cam_left_wrist_rgb
82
+ - cam_right_wrist_rgb
83
+ came_info:
84
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
85
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
86
+ pix_fmt=yuv420p
87
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
88
+ pix_fmt=yuv420p
89
+ depth_enabled: false
90
+ coordinate_definition: right-hand-frame
91
+ joint_rotation_dim: radian
92
+ end_rotation_dim: radian
93
+ end_translation_dim: meter
94
+ annotations:
95
+ - eef_acc_mag_annotation.jsonl
96
+ - eef_direction_annotation.jsonl
97
+ - eef_velocity_annotation.jsonl
98
+ - gripper_activity_annotation.jsonl
99
+ - gripper_mode_annotation.jsonl
100
+ - scene_annotations.jsonl
101
+ - subtask_annotations.jsonl
102
+ statistics:
103
+ total_episodes: 118
104
+ total_frames: 58520
105
+ fps: 30
106
+ total_tasks: 6
107
+ total_videos: 354
108
+ total_chunks: 1
109
+ chunks_size: 1000
110
+ state_dim: 28
111
+ action_dim: 28
112
+ camera_views: 3
113
+ dataset_size: 684.59 MB
114
+ frame_num: 58520
115
+ dataset_size: 684.59 MB
116
+ data_structure: 'Realman_RMC-AIDA-L_storage_towel_basket_qced_hardlink/
117
+
118
+ |-- annotations
119
+
120
+ | |-- eef_acc_mag_annotation.jsonl
121
+
122
+ | |-- eef_direction_annotation.jsonl
123
+
124
+ | |-- eef_velocity_annotation.jsonl
125
+
126
+ | |-- gripper_activity_annotation.jsonl
127
+
128
+ | |-- gripper_mode_annotation.jsonl
129
+
130
+ | |-- scene_annotations.jsonl
131
+
132
+ | `-- subtask_annotations.jsonl
133
+
134
+ |-- data
135
+
136
+ | `-- chunk-000
137
+
138
+ | |-- episode_000000.parquet
139
+
140
+ | |-- episode_000001.parquet
141
+
142
+ | |-- episode_000002.parquet
143
+
144
+ | |-- episode_000003.parquet
145
+
146
+ | |-- episode_000004.parquet
147
+
148
+ | |-- episode_000005.parquet
149
+
150
+ | |-- episode_000006.parquet
151
+
152
+ | |-- episode_000007.parquet
153
+
154
+ | |-- episode_000008.parquet
155
+
156
+ | |-- episode_000009.parquet
157
+
158
+ | |-- episode_000010.parquet
159
+
160
+ | `-- episode_000011.parquet
161
+
162
+ | `-- ... (106 more entries)
163
+
164
+ |-- meta
165
+
166
+ | |-- episodes.jsonl
167
+
168
+ | |-- episodes_stats.jsonl
169
+
170
+ | |-- info.json
171
+
172
+ | `-- tasks.jsonl
173
+
174
+ |-- videos
175
+
176
+ | `-- chunk-000
177
+
178
+ | |-- observation.images.cam_head_rgb
179
+
180
+ | |-- observation.images.cam_left_wrist_rgb
181
+
182
+ | `-- observation.images.cam_right_wrist_rgb
183
+
184
+ |-- info.yaml
185
+
186
+ `-- README.md'
187
+ splits:
188
+ train: 0:117
189
+ features:
190
+ observation.images.cam_head_rgb:
191
+ dtype: video
192
+ shape:
193
+ - 480
194
+ - 640
195
+ - 3
196
+ names:
197
+ - height
198
+ - width
199
+ - channels
200
+ info:
201
+ video.height: 480
202
+ video.width: 640
203
+ video.codec: av1
204
+ video.pix_fmt: yuv420p
205
+ video.is_depth_map: false
206
+ video.fps: 30
207
+ video.channels: 3
208
+ has_audio: false
209
+ observation.images.cam_left_wrist_rgb:
210
+ dtype: video
211
+ shape:
212
+ - 480
213
+ - 640
214
+ - 3
215
+ names:
216
+ - height
217
+ - width
218
+ - channels
219
+ info:
220
+ video.height: 480
221
+ video.width: 640
222
+ video.codec: av1
223
+ video.pix_fmt: yuv420p
224
+ video.is_depth_map: false
225
+ video.fps: 30
226
+ video.channels: 3
227
+ has_audio: false
228
+ observation.images.cam_right_wrist_rgb:
229
+ dtype: video
230
+ shape:
231
+ - 480
232
+ - 640
233
+ - 3
234
+ names:
235
+ - height
236
+ - width
237
+ - channels
238
+ info:
239
+ video.height: 480
240
+ video.width: 640
241
+ video.codec: av1
242
+ video.pix_fmt: yuv420p
243
+ video.is_depth_map: false
244
+ video.fps: 30
245
+ video.channels: 3
246
+ has_audio: false
247
+ observation.state:
248
+ dtype: float32
249
+ shape:
250
+ - 28
251
+ names:
252
+ - right_arm_joint_1_rad
253
+ - right_arm_joint_2_rad
254
+ - right_arm_joint_3_rad
255
+ - right_arm_joint_4_rad
256
+ - right_arm_joint_5_rad
257
+ - right_arm_joint_6_rad
258
+ - right_arm_joint_7_rad
259
+ - right_gripper_open
260
+ - right_eef_pos_x_m
261
+ - right_eef_pos_y_m
262
+ - right_eef_pos_z_m
263
+ - right_eef_rot_euler_x_rad
264
+ - right_eef_rot_euler_y_rad
265
+ - right_eef_rot_euler_z_rad
266
+ - left_arm_joint_1_rad
267
+ - left_arm_joint_2_rad
268
+ - left_arm_joint_3_rad
269
+ - left_arm_joint_4_rad
270
+ - left_arm_joint_5_rad
271
+ - left_arm_joint_6_rad
272
+ - left_arm_joint_7_rad
273
+ - left_gripper_open
274
+ - left_eef_pos_x_m
275
+ - left_eef_pos_y_m
276
+ - left_eef_pos_z_m
277
+ - left_eef_rot_euler_x_rad
278
+ - left_eef_rot_euler_y_rad
279
+ - left_eef_rot_euler_z_rad
280
+ action:
281
+ dtype: float32
282
+ shape:
283
+ - 28
284
+ names:
285
+ - right_arm_joint_1_rad
286
+ - right_arm_joint_2_rad
287
+ - right_arm_joint_3_rad
288
+ - right_arm_joint_4_rad
289
+ - right_arm_joint_5_rad
290
+ - right_arm_joint_6_rad
291
+ - right_arm_joint_7_rad
292
+ - right_gripper_open
293
+ - right_eef_pos_x_m
294
+ - right_eef_pos_y_m
295
+ - right_eef_pos_z_m
296
+ - right_eef_rot_euler_x_rad
297
+ - right_eef_rot_euler_y_rad
298
+ - right_eef_rot_euler_z_rad
299
+ - left_arm_joint_1_rad
300
+ - left_arm_joint_2_rad
301
+ - left_arm_joint_3_rad
302
+ - left_arm_joint_4_rad
303
+ - left_arm_joint_5_rad
304
+ - left_arm_joint_6_rad
305
+ - left_arm_joint_7_rad
306
+ - left_gripper_open
307
+ - left_eef_pos_x_m
308
+ - left_eef_pos_y_m
309
+ - left_eef_pos_z_m
310
+ - left_eef_rot_euler_x_rad
311
+ - left_eef_rot_euler_y_rad
312
+ - left_eef_rot_euler_z_rad
313
+ timestamp:
314
+ dtype: float32
315
+ shape:
316
+ - 1
317
+ names: null
318
+ frame_index:
319
+ dtype: int64
320
+ shape:
321
+ - 1
322
+ names: null
323
+ episode_index:
324
+ dtype: int64
325
+ shape:
326
+ - 1
327
+ names: null
328
+ index:
329
+ dtype: int64
330
+ shape:
331
+ - 1
332
+ names: null
333
+ task_index:
334
+ dtype: int64
335
+ shape:
336
+ - 1
337
+ names: null
338
+ subtask_annotation:
339
+ names: null
340
+ shape:
341
+ - 5
342
+ dtype: int32
343
+ scene_annotation:
344
+ names: null
345
+ shape:
346
+ - 1
347
+ dtype: int32
348
+ eef_sim_pose_state:
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_sim_pose_action:
366
+ names:
367
+ - left_eef_pos_x
368
+ - left_eef_pos_y
369
+ - left_eef_pos_z
370
+ - left_eef_rot_x
371
+ - left_eef_rot_y
372
+ - left_eef_rot_z
373
+ - right_eef_pos_x
374
+ - right_eef_pos_y
375
+ - right_eef_pos_z
376
+ - right_eef_rot_x
377
+ - right_eef_rot_y
378
+ - right_eef_rot_z
379
+ shape:
380
+ - 12
381
+ dtype: float32
382
+ eef_direction_state:
383
+ names:
384
+ - left_eef_direction
385
+ - right_eef_direction
386
+ shape:
387
+ - 2
388
+ dtype: int32
389
+ eef_direction_action:
390
+ names:
391
+ - left_eef_direction
392
+ - right_eef_direction
393
+ shape:
394
+ - 2
395
+ dtype: int32
396
+ eef_velocity_state:
397
+ names:
398
+ - left_eef_velocity
399
+ - right_eef_velocity
400
+ shape:
401
+ - 2
402
+ dtype: int32
403
+ eef_velocity_action:
404
+ names:
405
+ - left_eef_velocity
406
+ - right_eef_velocity
407
+ shape:
408
+ - 2
409
+ dtype: int32
410
+ eef_acc_mag_state:
411
+ names:
412
+ - left_eef_acc_mag
413
+ - right_eef_acc_mag
414
+ shape:
415
+ - 2
416
+ dtype: int32
417
+ eef_acc_mag_action:
418
+ names:
419
+ - left_eef_acc_mag
420
+ - right_eef_acc_mag
421
+ shape:
422
+ - 2
423
+ dtype: int32
424
+ gripper_open_scale_state:
425
+ names:
426
+ - left_gripper_open_scale
427
+ - right_gripper_open_scale
428
+ shape:
429
+ - 2
430
+ dtype: float32
431
+ gripper_open_scale_action:
432
+ names:
433
+ - left_gripper_open_scale
434
+ - right_gripper_open_scale
435
+ shape:
436
+ - 2
437
+ dtype: float32
438
+ gripper_mode_state:
439
+ names:
440
+ - left_gripper_mode
441
+ - right_gripper_mode
442
+ shape:
443
+ - 2
444
+ dtype: int32
445
+ gripper_mode_action:
446
+ names:
447
+ - left_gripper_mode
448
+ - right_gripper_mode
449
+ shape:
450
+ - 2
451
+ dtype: int32
452
+ gripper_activity_state:
453
+ names:
454
+ - left_gripper_activity
455
+ - right_gripper_activity
456
+ shape:
457
+ - 2
458
+ dtype: int32
459
+ gripper_activity_action:
460
+ names:
461
+ - left_gripper_activity
462
+ - right_gripper_activity
463
+ shape:
464
+ - 2
465
+ dtype: int32
466
+ authors:
467
+ contributed_by:
468
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
469
+ dataset_description: This dataset uses an extended format based on LeRobot and is
470
+ fully compatible with LeRobot.
471
+ homepage: https://flagopen.github.io/RoboCOIN/
472
+ paper: https://arxiv.org/abs/2511.17441
473
+ repository: https://github.com/FlagOpen/RoboCOIN
474
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
475
+ us.
476
+ support_info: For technical support, please open an issue on our GitHub repository.
477
+ license_details: apache-2.0
478
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
479
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
480
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
481
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
482
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
483
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
484
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
485
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
486
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
487
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
488
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
489
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
490
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
491
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
492
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
493
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
494
+ additional_citations: 'If you use this dataset, please also consider citing:
495
+
496
+ LeRobot Framework: https://github.com/huggingface/lerobot
497
+
498
+ '
499
+ version_info: Initial Release
500
+ data_path: data/chunk-{id}/episode_{id}.parquet
501
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
502
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
info/consolidated_datasets.json CHANGED
The diff for this file is too large to render. See raw diff
 
info/data_index.json CHANGED
@@ -102,6 +102,13 @@
102
  "AgiBot-g1_storage_item_d",
103
  "AgiBot-g1_storage_item_e",
104
  "AgiBot-g1_tool_storage",
 
 
 
 
 
 
 
105
  "Airbot_MMK2_move_block_gold_bar_models",
106
  "Airbot_MMK2_move_book_front",
107
  "Airbot_MMK2_move_book_right_side",
@@ -114,23 +121,32 @@
114
  "Airbot_MMK2_pass_paper_box",
115
  "Airbot_MMK2_pour_BBs",
116
  "Airbot_MMK2_push_toy_car",
 
 
117
  "Airbot_MMK2_storage_bottle_part",
118
  "Airbot_MMK2_storage_bowl_wet_wipes",
119
  "Airbot_MMK2_storage_braised_pork_belly_shrimp",
 
120
  "Airbot_MMK2_storage_cookie_toy_car",
121
  "Airbot_MMK2_storage_cup",
122
  "Airbot_MMK2_storage_cup_rubik_s_cube",
 
123
  "Airbot_MMK2_storage_egg_bowl",
124
  "Airbot_MMK2_storage_egg_plate",
125
  "Airbot_MMK2_storage_electronics_yellow_baket",
126
  "Airbot_MMK2_storage_peach_pear",
 
 
127
  "Airbot_MMK2_storage_tools",
128
  "Airbot_MMK2_storage_tumbler_umbrella",
129
  "Airbot_MMK2_swap_bottle_wet_wipes_plate",
130
  "Airbot_MMK2_swap_sponge_paper_box_plate",
 
131
  "Airbot_MMK2_take_cup",
 
132
  "Airbot_MMK2_take_drink",
133
  "Airbot_MMK2_take_electronics",
 
134
  "Airbot_MMK2_take_toy_car",
135
  "Cobot_Magic_box_storage_chopsticks",
136
  "Cobot_Magic_cap_the_pen_a",
@@ -242,6 +258,8 @@
242
  "G1edu-u3_put_the_water_bottle_on_the_table_d",
243
  "G1edu-u3_stack_bowls",
244
  "G1edu-u3_tray_storage_lemon_a",
 
 
245
  "Galbot_g1_fold_clothe_b",
246
  "Galbot_g1_fold_clothe_c",
247
  "Galbot_g1_fold_clothe_e",
@@ -354,6 +372,8 @@
354
  "RMC-AIDA-L_stack_baskets",
355
  "RMC-AIDA-L_stir_coffee",
356
  "RMC-AIDA-L_storage_bin_storage",
 
 
357
  "Split_aloha_basket_storage_banana",
358
  "Split_aloha_basket_storage_bread",
359
  "Split_aloha_basket_storage_egg_yolk_pastry",
@@ -433,5 +453,5 @@
433
  "leju_robot_pass_the_cleaner_d",
434
  "leju_robot_pass_the_cleaner_e"
435
  ],
436
- "count": 432
437
  }
 
102
  "AgiBot-g1_storage_item_d",
103
  "AgiBot-g1_storage_item_e",
104
  "AgiBot-g1_tool_storage",
105
+ "Agilex_Cobot_Magic_close_drawer_bottom",
106
+ "Agilex_Cobot_Magic_close_drawer_upper",
107
+ "Agilex_Cobot_Magic_erase_board_left_side",
108
+ "Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth",
109
+ "Agilex_Cobot_Magic_open_drawer_bottom",
110
+ "Agilex_Cobot_Magic_storage_bread_basket",
111
+ "Agilex_Cobot_Magic_storage_object_closest",
112
  "Airbot_MMK2_move_block_gold_bar_models",
113
  "Airbot_MMK2_move_book_front",
114
  "Airbot_MMK2_move_book_right_side",
 
121
  "Airbot_MMK2_pass_paper_box",
122
  "Airbot_MMK2_pour_BBs",
123
  "Airbot_MMK2_push_toy_car",
124
+ "Airbot_MMK2_slide_tape_onto_can",
125
+ "Airbot_MMK2_stack_cubic_block",
126
  "Airbot_MMK2_storage_bottle_part",
127
  "Airbot_MMK2_storage_bowl_wet_wipes",
128
  "Airbot_MMK2_storage_braised_pork_belly_shrimp",
129
+ "Airbot_MMK2_storage_cake_ice_cream",
130
  "Airbot_MMK2_storage_cookie_toy_car",
131
  "Airbot_MMK2_storage_cup",
132
  "Airbot_MMK2_storage_cup_rubik_s_cube",
133
+ "Airbot_MMK2_storage_diamond_ring",
134
  "Airbot_MMK2_storage_egg_bowl",
135
  "Airbot_MMK2_storage_egg_plate",
136
  "Airbot_MMK2_storage_electronics_yellow_baket",
137
  "Airbot_MMK2_storage_peach_pear",
138
+ "Airbot_MMK2_storage_shark_doll",
139
+ "Airbot_MMK2_storage_tape_measure_umbrella",
140
  "Airbot_MMK2_storage_tools",
141
  "Airbot_MMK2_storage_tumbler_umbrella",
142
  "Airbot_MMK2_swap_bottle_wet_wipes_plate",
143
  "Airbot_MMK2_swap_sponge_paper_box_plate",
144
+ "Airbot_MMK2_take_bowl_sponge",
145
  "Airbot_MMK2_take_cup",
146
+ "Airbot_MMK2_take_dog_doll",
147
  "Airbot_MMK2_take_drink",
148
  "Airbot_MMK2_take_electronics",
149
+ "Airbot_MMK2_take_part_both_hands",
150
  "Airbot_MMK2_take_toy_car",
151
  "Cobot_Magic_box_storage_chopsticks",
152
  "Cobot_Magic_cap_the_pen_a",
 
258
  "G1edu-u3_put_the_water_bottle_on_the_table_d",
259
  "G1edu-u3_stack_bowls",
260
  "G1edu-u3_tray_storage_lemon_a",
261
+ "Galaxea_R1_Lite_pour_solid",
262
+ "Galaxea_R1_Lite_storage_object_yellow_basket",
263
  "Galbot_g1_fold_clothe_b",
264
  "Galbot_g1_fold_clothe_c",
265
  "Galbot_g1_fold_clothe_e",
 
372
  "RMC-AIDA-L_stack_baskets",
373
  "RMC-AIDA-L_stir_coffee",
374
  "RMC-AIDA-L_storage_bin_storage",
375
+ "Realman_RMC-AIDA-L_storage_peach_drawer",
376
+ "Realman_RMC-AIDA-L_storage_towel_basket",
377
  "Split_aloha_basket_storage_banana",
378
  "Split_aloha_basket_storage_bread",
379
  "Split_aloha_basket_storage_egg_yolk_pastry",
 
453
  "leju_robot_pass_the_cleaner_d",
454
  "leju_robot_pass_the_cleaner_e"
455
  ],
456
+ "count": 452
457
  }
info/exclude.json CHANGED
@@ -1,54 +1,12 @@
1
  [
2
- "AIRBOT_MMK2_beauty_sponge_and_cake_to_place",
3
- "AIRBOT_MMK2_building_block_storage",
4
- "AgiBot-g1_battery_storage_c",
5
- "AgiBot-g1_box_storage_part_a",
6
- "AgiBot-g1_box_storage_tool",
7
- "AgiBot-g1_mobile_accessory_storage_box_d",
8
- "AgiBot-g1_picks_up_parts_b",
9
- "Cobot_Magic_classification_of_fruits_and_vegetables_a",
10
- "Cobot_Magic_desktop_organization",
11
- "Cobot_Magic_drawer_storage_mineral_water",
12
- "Cobot_Magic_food_packaging",
13
- "Cobot_Magic_make_hamburger",
14
- "Cobot_Magic_move_the_ball_and_the_cube_block",
15
- "Cobot_Magic_open_the_shoebox",
16
- "Cobot_Magic_pour_water_a",
17
- "Cobot_Magic_vase_storage_flower",
18
- "G1edu-u3_bowl_storage_grape_singletry",
19
- "G1edu-u3_food_storage",
20
- "G1edu-u3_plate_storage_doll",
21
- "G1edu-u3_pullBowl_storage_bread_b",
22
- "Galbot_g1_fold_clothe_b",
23
- "Galbot_g1_fold_clothe_c",
24
- "Galbot_g1_fold_clothe_e",
25
- "Galbot_g1_steamer_storage_baozi_a",
26
- "Galbot_g1_steamer_storage_baozi_b",
27
- "Galbot_g1_steamer_storage_baozi_c",
28
- "Galbot_g1_steamer_storage_baozi_d",
29
- "Galbot_g1_steamer_storage_baozi_e",
30
- "Galbot_g1_steamer_storage_baozi_f",
31
- "Galbot_g1_steamer_storage_baozi_g",
32
- "Galbot_g1_steamer_storage_baozi_h",
33
- "Galbot_g1_steamer_storage_baozi_i",
34
- "Galbot_g1_steamer_storage_baozi_j",
35
- "R1_Lite_cook_a_meal",
36
- "R1_Lite_drawer_storage_hair_dryer",
37
- "R1_Lite_move_the_position_of_the_coffee_capsule",
38
- "R1_Lite_move_the_position_of_the_soda",
39
- "R1_Lite_open_and_close_microwave_oven",
40
- "R1_Lite_pick_up_and_store_items",
41
- "R1_Lite_put_slippers_into_floor_standing_shoe_cabinet",
42
- "R1_Lite_take_clothes_out_of_the_washing_machine",
43
- "R1_Lite_throw_out_the_trash",
44
- "RMC-AIDA-L_box_up_down",
45
- "RMC-AIDA-L_fold_shirt",
46
- "Split_aloha_fold_the_pants",
47
- "Split_aloha_pour_tea",
48
- "Tianqin_A2_place_the_paper_box",
49
- "leju_robot_box_storage_parcel_f",
50
- "leju_robot_hotel_services_ah",
51
- "leju_robot_moving_parts_o",
52
- "leju_robot_moving_parts_s",
53
- "leju_robot_moving_parts_t"
54
  ]
 
1
  [
2
+ "AIRBOT_MMK2_place_the_sponge_and_wet_wipes",
3
+ "AIRBOT_MMK2_the_cup_is_placed_in_the_book",
4
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5
+ "Cobot_Magic_take_down_the_cube_block",
6
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7
+ "leju_robot_box_storage_parcel_j",
8
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9
+ "leju_robot_box_storage_parcel_k",
10
+ "leju_robot_box_storage_parcel_l",
11
+ "G1edu-u3_basket_storage_apple_b"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  ]
info/robot_aliases.json CHANGED
@@ -71,4 +71,4 @@
71
  "common_name": "AI2_Alphabot_1s",
72
  "aliases": ["AI2_Alphabot_1s", "Alphabot_1s", "alphabot1s", "alpha_bot_1s"]
73
  }
74
- }
 
71
  "common_name": "AI2_Alphabot_1s",
72
  "aliases": ["AI2_Alphabot_1s", "Alphabot_1s", "alphabot1s", "alpha_bot_1s"]
73
  }
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videos/Agilex_Cobot_Magic_open_drawer_bottom.mp4 ADDED
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