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Update RoboCOIN assets

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  1. dataset_info/Agilex_Cobot_Magic_Agilex_Split_Aloha_organize_desk_fail.yaml +557 -0
  2. dataset_info/Agilex_Cobot_Magic_classify_objects_six.yaml +577 -0
  3. dataset_info/Agilex_Cobot_Magic_connect_block.yaml +1662 -0
  4. dataset_info/Agilex_Cobot_Magic_erase_board_passing_right_to_left.yaml +501 -0
  5. dataset_info/Agilex_Cobot_Magic_erase_board_right.yaml +501 -0
  6. dataset_info/Agilex_Cobot_Magic_fold_shorts_khaki.yaml +505 -0
  7. dataset_info/Agilex_Cobot_Magic_storage_orange_basket_left.yaml +511 -0
  8. dataset_info/Airbot_MMK2_close_drawer.yaml +418 -0
  9. dataset_info/Airbot_MMK2_close_lid.yaml +426 -0
  10. dataset_info/Airbot_MMK2_dial_number.yaml +427 -0
  11. dataset_info/Airbot_MMK2_move_apple_orange_pomegranate.yaml +445 -0
  12. dataset_info/Airbot_MMK2_move_block_both_hands.yaml +428 -0
  13. dataset_info/Airbot_MMK2_move_block_wet_wipes.yaml +501 -0
  14. dataset_info/Airbot_MMK2_move_cake.yaml +504 -0
  15. dataset_info/Airbot_MMK2_move_pan.yaml +434 -0
  16. dataset_info/Airbot_MMK2_move_sword_doll.yaml +435 -0
  17. dataset_info/Airbot_MMK2_move_umbrella_tissues.yaml +445 -0
  18. dataset_info/Airbot_MMK2_pick_up_and_place_tub.yaml +433 -0
  19. dataset_info/Airbot_MMK2_play_toy_piano.yaml +434 -0
  20. dataset_info/Airbot_MMK2_prepare_tea.yaml +450 -0
  21. dataset_info/Airbot_MMK2_push_away_book.yaml +424 -0
  22. dataset_info/Airbot_MMK2_rotate_cube_face.yaml +434 -0
  23. dataset_info/Airbot_MMK2_storage_apple_orange.yaml +442 -0
  24. dataset_info/Airbot_MMK2_storage_bell_pepper.yaml +441 -0
  25. dataset_info/Airbot_MMK2_storage_bowl.yaml +432 -0
  26. dataset_info/Airbot_MMK2_storage_cookie_cup.yaml +439 -0
  27. dataset_info/Airbot_MMK2_storage_cup_plate.yaml +435 -0
  28. dataset_info/Airbot_MMK2_storage_egg_yellow_box.yaml +433 -0
  29. dataset_info/Airbot_MMK2_storage_lemon_mango.yaml +443 -0
  30. dataset_info/Airbot_MMK2_storage_network_cable_paper_box.yaml +440 -0
  31. dataset_info/Airbot_MMK2_storage_paper_box_sponge.yaml +443 -0
  32. dataset_info/Airbot_MMK2_storage_pineapple.yaml +429 -0
  33. dataset_info/Airbot_MMK2_storage_potato_left.yaml +439 -0
  34. dataset_info/Airbot_MMK2_storage_potato_pumpkin.yaml +442 -0
  35. dataset_info/Airbot_MMK2_storage_pumpkin_left.yaml +431 -0
  36. dataset_info/Airbot_MMK2_storage_tissues_tub.yaml +437 -0
  37. dataset_info/Airbot_MMK2_swap_apple_cake_plate.yaml +439 -0
  38. dataset_info/Airbot_MMK2_swap_bbs_block_plate.yaml +442 -0
  39. dataset_info/Airbot_MMK2_swap_bread_cake_plate.yaml +441 -0
  40. dataset_info/Airbot_MMK2_take_block.yaml +432 -0
  41. dataset_info/Airbot_MMK2_take_book.yaml +424 -0
  42. dataset_info/Airbot_MMK2_turn_page.yaml +420 -0
  43. dataset_info/Galaxea_R1_Lite_classify_object_green_tablecloth.yaml +827 -0
  44. dataset_info/Galaxea_R1_Lite_mix_blue_yellow_large_test_tube.yaml +528 -0
  45. dataset_info/Galaxea_R1_Lite_pour_water_black_tablecloth.yaml +575 -0
  46. dataset_info/Galaxea_R1_Lite_storage_object_pink_bowl.yaml +810 -0
  47. dataset_info/Galaxea_R1_Lite_storage_object_white_box.yaml +814 -0
  48. dataset_info/Realman_RMC-AIDA-L_fold_towel.yaml +499 -0
  49. dataset_info/Realman_RMC-AIDA-L_storage_block_basket.yaml +500 -0
  50. dataset_info/agilex_cobot_magic_pass_object_right_to_left_red_tablecloth.yaml +667 -0
dataset_info/Agilex_Cobot_Magic_Agilex_Split_Aloha_organize_desk_fail.yaml ADDED
@@ -0,0 +1,557 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_Agilex_Split_Aloha_organize_desk_fail
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: living_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: furniture
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: pen_holder
47
+ level1: stationery
48
+ level2: pen_holder
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: storage_box
53
+ level1: home_storage
54
+ level2: storage_box
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: cola
59
+ level1: beverages
60
+ level2: cola
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: milk
65
+ level1: beverages
66
+ level2: milk
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: pen
71
+ level1: stationery
72
+ level2: pen
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: toilet_paper
77
+ level1: daily_necessities
78
+ level2: toilet_paper
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
83
+ the operation type information.
84
+ task_instruction:
85
+ - take out the empty pen holder by hand, and then put the milk and cola into the basket
86
+ on the left. place the pen holders in the middle one by one, and then put the papers
87
+ one by one into the box on the right.
88
+ sub_tasks:
89
+ - subtask: Place the red marker pen in pen holder with the right gripper
90
+ subtask_index: 0
91
+ - subtask: Place the orange marker pen in pen holder with the right gripper
92
+ subtask_index: 1
93
+ - subtask: Place the waste paper in the box with the right gripper
94
+ subtask_index: 2
95
+ - subtask: End
96
+ subtask_index: 3
97
+ - subtask: Grasp the black marker pen with the left gripper
98
+ subtask_index: 4
99
+ - subtask: Place the red marker pen in pen holder with the left gripper
100
+ subtask_index: 5
101
+ - subtask: Grasp the red marker pen with the right gripper
102
+ subtask_index: 6
103
+ - subtask: Place the cola can in the basket with the left gripper
104
+ subtask_index: 7
105
+ - subtask: Grasp the black marker pen with the right gripper
106
+ subtask_index: 8
107
+ - subtask: Grasp the orange marker pen with the right gripper
108
+ subtask_index: 9
109
+ - subtask: Place the black marker pen in pen holder with the right gripper
110
+ subtask_index: 10
111
+ - subtask: Place the orange marker pen in pen holder with the left gripper
112
+ subtask_index: 11
113
+ - subtask: Grasp the cola can with the left gripper
114
+ subtask_index: 12
115
+ - subtask: Grasp the orange marker pen with the left gripper
116
+ subtask_index: 13
117
+ - subtask: Place the milk in the basket with the left gripper
118
+ subtask_index: 14
119
+ - subtask: Grasp the milk with the left gripper
120
+ subtask_index: 15
121
+ - subtask: Grasp the waste paper with the right gripper
122
+ subtask_index: 16
123
+ - subtask: Place the black marker pen in pen holder with the left gripper
124
+ subtask_index: 17
125
+ - subtask: Grasp the red marker pen with the left gripper
126
+ subtask_index: 18
127
+ - subtask: 'null'
128
+ subtask_index: 19
129
+ atomic_actions:
130
+ - grasp
131
+ - pick
132
+ - place
133
+ robot_name:
134
+ - Agilex_Cobot_Magic
135
+ end_effector_type: two_finger_gripper
136
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
137
+ type information.
138
+ sensor_list:
139
+ - cam_head_rgb
140
+ - cam_left_wrist_rgb
141
+ - cam_right_wrist_rgb
142
+ came_info:
143
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
144
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
145
+ pix_fmt=yuv420p
146
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
147
+ pix_fmt=yuv420p
148
+ depth_enabled: false
149
+ coordinate_definition: right-hand-frame
150
+ joint_rotation_dim: radian
151
+ end_rotation_dim: radian
152
+ end_translation_dim: meter
153
+ annotations:
154
+ - eef_acc_mag_annotation.jsonl
155
+ - eef_direction_annotation.jsonl
156
+ - eef_velocity_annotation.jsonl
157
+ - gripper_activity_annotation.jsonl
158
+ - gripper_mode_annotation.jsonl
159
+ - scene_annotations.jsonl
160
+ - subtask_annotations.jsonl
161
+ statistics:
162
+ total_episodes: 117
163
+ total_frames: 274558
164
+ fps: 30
165
+ total_tasks: 20
166
+ total_videos: 351
167
+ total_chunks: 1
168
+ chunks_size: 1000
169
+ state_dim: 26
170
+ action_dim: 26
171
+ camera_views: 3
172
+ dataset_size: 4.17 GB
173
+ frame_num: 274558
174
+ dataset_size: 4.17 GB
175
+ data_structure: 'Agilex_Split_Aloha_organize_desk_fail_qced_hardlink/
176
+
177
+ |-- annotations
178
+
179
+ | |-- eef_acc_mag_annotation.jsonl
180
+
181
+ | |-- eef_direction_annotation.jsonl
182
+
183
+ | |-- eef_velocity_annotation.jsonl
184
+
185
+ | |-- gripper_activity_annotation.jsonl
186
+
187
+ | |-- gripper_mode_annotation.jsonl
188
+
189
+ | |-- scene_annotations.jsonl
190
+
191
+ | `-- subtask_annotations.jsonl
192
+
193
+ |-- data
194
+
195
+ | `-- chunk-000
196
+
197
+ | |-- episode_000000.parquet
198
+
199
+ | |-- episode_000001.parquet
200
+
201
+ | |-- episode_000002.parquet
202
+
203
+ | |-- episode_000003.parquet
204
+
205
+ | |-- episode_000004.parquet
206
+
207
+ | |-- episode_000005.parquet
208
+
209
+ | |-- episode_000006.parquet
210
+
211
+ | |-- episode_000007.parquet
212
+
213
+ | |-- episode_000008.parquet
214
+
215
+ | |-- episode_000009.parquet
216
+
217
+ | |-- episode_000010.parquet
218
+
219
+ | `-- episode_000011.parquet
220
+
221
+ | `-- ... (105 more entries)
222
+
223
+ |-- meta
224
+
225
+ | |-- episodes.jsonl
226
+
227
+ | |-- episodes_stats.jsonl
228
+
229
+ | |-- info.json
230
+
231
+ | `-- tasks.jsonl
232
+
233
+ |-- videos
234
+
235
+ | `-- chunk-000
236
+
237
+ | |-- observation.images.cam_head_rgb
238
+
239
+ | |-- observation.images.cam_left_wrist_rgb
240
+
241
+ | `-- observation.images.cam_right_wrist_rgb
242
+
243
+ |-- info.yaml
244
+
245
+ `-- README.md'
246
+ splits:
247
+ train: 0:116
248
+ features:
249
+ observation.images.cam_head_rgb:
250
+ dtype: video
251
+ shape:
252
+ - 480
253
+ - 640
254
+ - 3
255
+ names:
256
+ - height
257
+ - width
258
+ - channels
259
+ info:
260
+ video.height: 480
261
+ video.width: 640
262
+ video.codec: av1
263
+ video.pix_fmt: yuv420p
264
+ video.is_depth_map: false
265
+ video.fps: 30
266
+ video.channels: 3
267
+ has_audio: false
268
+ observation.images.cam_left_wrist_rgb:
269
+ dtype: video
270
+ shape:
271
+ - 480
272
+ - 640
273
+ - 3
274
+ names:
275
+ - height
276
+ - width
277
+ - channels
278
+ info:
279
+ video.height: 480
280
+ video.width: 640
281
+ video.codec: av1
282
+ video.pix_fmt: yuv420p
283
+ video.is_depth_map: false
284
+ video.fps: 30
285
+ video.channels: 3
286
+ has_audio: false
287
+ observation.images.cam_right_wrist_rgb:
288
+ dtype: video
289
+ shape:
290
+ - 480
291
+ - 640
292
+ - 3
293
+ names:
294
+ - height
295
+ - width
296
+ - channels
297
+ info:
298
+ video.height: 480
299
+ video.width: 640
300
+ video.codec: av1
301
+ video.pix_fmt: yuv420p
302
+ video.is_depth_map: false
303
+ video.fps: 30
304
+ video.channels: 3
305
+ has_audio: false
306
+ observation.state:
307
+ dtype: float32
308
+ shape:
309
+ - 26
310
+ names:
311
+ - left_arm_joint_1_rad
312
+ - left_arm_joint_2_rad
313
+ - left_arm_joint_3_rad
314
+ - left_arm_joint_4_rad
315
+ - left_arm_joint_5_rad
316
+ - left_arm_joint_6_rad
317
+ - left_gripper_open
318
+ - left_eef_pos_x_m
319
+ - left_eef_pos_y_m
320
+ - left_eef_pos_z_m
321
+ - left_eef_rot_euler_x_rad
322
+ - left_eef_rot_euler_y_rad
323
+ - left_eef_rot_euler_z_rad
324
+ - right_arm_joint_1_rad
325
+ - right_arm_joint_2_rad
326
+ - right_arm_joint_3_rad
327
+ - right_arm_joint_4_rad
328
+ - right_arm_joint_5_rad
329
+ - right_arm_joint_6_rad
330
+ - right_gripper_open
331
+ - right_eef_pos_x_m
332
+ - right_eef_pos_y_m
333
+ - right_eef_pos_z_m
334
+ - right_eef_rot_euler_x_rad
335
+ - right_eef_rot_euler_y_rad
336
+ - right_eef_rot_euler_z_rad
337
+ action:
338
+ dtype: float32
339
+ shape:
340
+ - 26
341
+ names:
342
+ - left_arm_joint_1_rad
343
+ - left_arm_joint_2_rad
344
+ - left_arm_joint_3_rad
345
+ - left_arm_joint_4_rad
346
+ - left_arm_joint_5_rad
347
+ - left_arm_joint_6_rad
348
+ - left_gripper_open
349
+ - left_eef_pos_x_m
350
+ - left_eef_pos_y_m
351
+ - left_eef_pos_z_m
352
+ - left_eef_rot_euler_x_rad
353
+ - left_eef_rot_euler_y_rad
354
+ - left_eef_rot_euler_z_rad
355
+ - right_arm_joint_1_rad
356
+ - right_arm_joint_2_rad
357
+ - right_arm_joint_3_rad
358
+ - right_arm_joint_4_rad
359
+ - right_arm_joint_5_rad
360
+ - right_arm_joint_6_rad
361
+ - right_gripper_open
362
+ - right_eef_pos_x_m
363
+ - right_eef_pos_y_m
364
+ - right_eef_pos_z_m
365
+ - right_eef_rot_euler_x_rad
366
+ - right_eef_rot_euler_y_rad
367
+ - right_eef_rot_euler_z_rad
368
+ timestamp:
369
+ dtype: float32
370
+ shape:
371
+ - 1
372
+ names: null
373
+ frame_index:
374
+ dtype: int64
375
+ shape:
376
+ - 1
377
+ names: null
378
+ episode_index:
379
+ dtype: int64
380
+ shape:
381
+ - 1
382
+ names: null
383
+ index:
384
+ dtype: int64
385
+ shape:
386
+ - 1
387
+ names: null
388
+ task_index:
389
+ dtype: int64
390
+ shape:
391
+ - 1
392
+ names: null
393
+ subtask_annotation:
394
+ names: null
395
+ dtype: int32
396
+ shape:
397
+ - 5
398
+ scene_annotation:
399
+ names: null
400
+ dtype: int32
401
+ shape:
402
+ - 1
403
+ eef_sim_pose_state:
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
+ dtype: float32
418
+ shape:
419
+ - 12
420
+ eef_sim_pose_action:
421
+ names:
422
+ - left_eef_pos_x
423
+ - left_eef_pos_y
424
+ - left_eef_pos_z
425
+ - left_eef_rot_x
426
+ - left_eef_rot_y
427
+ - left_eef_rot_z
428
+ - right_eef_pos_x
429
+ - right_eef_pos_y
430
+ - right_eef_pos_z
431
+ - right_eef_rot_x
432
+ - right_eef_rot_y
433
+ - right_eef_rot_z
434
+ dtype: float32
435
+ shape:
436
+ - 12
437
+ eef_direction_state:
438
+ names:
439
+ - left_eef_direction
440
+ - right_eef_direction
441
+ dtype: int32
442
+ shape:
443
+ - 2
444
+ eef_direction_action:
445
+ names:
446
+ - left_eef_direction
447
+ - right_eef_direction
448
+ dtype: int32
449
+ shape:
450
+ - 2
451
+ eef_velocity_state:
452
+ names:
453
+ - left_eef_velocity
454
+ - right_eef_velocity
455
+ dtype: int32
456
+ shape:
457
+ - 2
458
+ eef_velocity_action:
459
+ names:
460
+ - left_eef_velocity
461
+ - right_eef_velocity
462
+ dtype: int32
463
+ shape:
464
+ - 2
465
+ eef_acc_mag_state:
466
+ names:
467
+ - left_eef_acc_mag
468
+ - right_eef_acc_mag
469
+ dtype: int32
470
+ shape:
471
+ - 2
472
+ eef_acc_mag_action:
473
+ names:
474
+ - left_eef_acc_mag
475
+ - right_eef_acc_mag
476
+ dtype: int32
477
+ shape:
478
+ - 2
479
+ gripper_mode_state:
480
+ names:
481
+ - left_gripper_mode
482
+ - right_gripper_mode
483
+ dtype: int32
484
+ shape:
485
+ - 2
486
+ gripper_mode_action:
487
+ names:
488
+ - left_gripper_mode
489
+ - right_gripper_mode
490
+ dtype: int32
491
+ shape:
492
+ - 2
493
+ gripper_activity_state:
494
+ names:
495
+ - left_gripper_activity
496
+ - right_gripper_activity
497
+ dtype: int32
498
+ shape:
499
+ - 2
500
+ gripper_activity_action:
501
+ names:
502
+ - left_gripper_activity
503
+ - right_gripper_activity
504
+ dtype: int32
505
+ shape:
506
+ - 2
507
+ gripper_open_scale_state:
508
+ names:
509
+ - left_gripper_open_scale
510
+ - right_gripper_open_scale
511
+ dtype: float32
512
+ shape:
513
+ - 2
514
+ gripper_open_scale_action:
515
+ names:
516
+ - left_gripper_open_scale
517
+ - right_gripper_open_scale
518
+ dtype: float32
519
+ shape:
520
+ - 2
521
+ authors:
522
+ contributed_by:
523
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
524
+ dataset_description: This dataset uses an extended format based on LeRobot and is
525
+ fully compatible with LeRobot.
526
+ homepage: https://flagopen.github.io/RoboCOIN/
527
+ paper: https://arxiv.org/abs/2511.17441
528
+ repository: https://github.com/FlagOpen/RoboCOIN
529
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
530
+ us.
531
+ support_info: For technical support, please open an issue on our GitHub repository.
532
+ license_details: apache-2.0
533
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
534
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
535
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
536
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
537
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
538
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
539
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
540
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
541
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
542
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
543
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
544
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
545
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
546
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
547
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
548
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
549
+ additional_citations: 'If you use this dataset, please also consider citing:
550
+
551
+ LeRobot Framework: https://github.com/huggingface/lerobot
552
+
553
+ '
554
+ version_info: Initial Release
555
+ data_path: data/chunk-{id}/episode_{id}.parquet
556
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
557
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_classify_objects_six.yaml ADDED
@@ -0,0 +1,577 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_classify_objects_six
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: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: brown_basket
41
+ level1: home_storage
42
+ level2: brown_basket
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: black_basket
47
+ level1: food
48
+ level2: black_basket
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: bread
53
+ level1: food
54
+ level2: bread
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: orange
59
+ level1: food
60
+ level2: orange
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: green_lemon
65
+ level1: food
66
+ level2: green_lemon
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: pink_clear_plastic_cup
71
+ level1: kitchen_supplies
72
+ level2: pink_clear_plastic_cup
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: laundry_detergent
77
+ level1: daily_necessities
78
+ level2: laundry_detergent
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: mentholatum_facial_cleanser
83
+ level1: daily_necessities
84
+ level2: Mmentholatum_facial_cleanser
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
89
+ the operation type information.
90
+ task_instruction:
91
+ - place multiple objects separately in different baskets.
92
+ sub_tasks:
93
+ - subtask: Place the orange in the light basket with left gripper
94
+ subtask_index: 0
95
+ - subtask: Grasp the xx with the right gripper
96
+ subtask_index: 1
97
+ - subtask: Pick up the facial cleanser with left gripper
98
+ subtask_index: 2
99
+ - subtask: End
100
+ subtask_index: 3
101
+ - subtask: Place the facial cleanser in the dark basket with left gripper
102
+ subtask_index: 4
103
+ - subtask: Place the XX into the basket on the left with the right gripper
104
+ subtask_index: 5
105
+ - subtask: Place the lime in the light basket with right gripper
106
+ subtask_index: 6
107
+ - subtask: Place the laundry detergent in the dark basket with right gripper
108
+ subtask_index: 7
109
+ - subtask: Place the orange in the light basket with right gripper
110
+ subtask_index: 8
111
+ - subtask: Pick up the lime with left gripper
112
+ subtask_index: 9
113
+ - subtask: Place the XX into the basket on the right with the left gripper
114
+ subtask_index: 10
115
+ - subtask: Place the XX into the basket on the left with the left gripper
116
+ subtask_index: 11
117
+ - subtask: Place the XX into the basket on the right with the right gripper
118
+ subtask_index: 12
119
+ - subtask: Grasp the xx with the left gripper
120
+ subtask_index: 13
121
+ - subtask: Pick up the orange with left gripper
122
+ subtask_index: 14
123
+ - subtask: Place the bread in the light basket with right gripper
124
+ subtask_index: 15
125
+ - subtask: Pick up the laundry detergent with right gripper
126
+ subtask_index: 16
127
+ - subtask: Abnormal
128
+ subtask_index: 17
129
+ - subtask: Pick up the laundry detergent with left gripper
130
+ subtask_index: 18
131
+ - subtask: Pick up the facial cleanser with right gripper
132
+ subtask_index: 19
133
+ - subtask: Pick up the lime with right gripper
134
+ subtask_index: 20
135
+ - subtask: Pick up the bread with right gripper
136
+ subtask_index: 21
137
+ - subtask: Place the brown cup in the dark basket with left gripper
138
+ subtask_index: 22
139
+ - subtask: Place the laundry detergent in the dark basket with left gripper
140
+ subtask_index: 23
141
+ - subtask: Pick up the orange with right gripper
142
+ subtask_index: 24
143
+ - subtask: Place the lime in the light basket with left gripper
144
+ subtask_index: 25
145
+ - subtask: Pick up the brown cup with left gripper
146
+ subtask_index: 26
147
+ - subtask: 'null'
148
+ subtask_index: 27
149
+ atomic_actions:
150
+ - grasp
151
+ - lift
152
+ - lower
153
+ robot_name:
154
+ - Agilex_Cobot_Magic
155
+ end_effector_type: two_finger_gripper
156
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
157
+ type information.
158
+ sensor_list:
159
+ - cam_head_rgb
160
+ - cam_left_wrist_rgb
161
+ - cam_right_wrist_rgb
162
+ came_info:
163
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
164
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
165
+ pix_fmt=yuv420p
166
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
167
+ pix_fmt=yuv420p
168
+ depth_enabled: false
169
+ coordinate_definition: right-hand-frame
170
+ joint_rotation_dim: radian
171
+ end_rotation_dim: radian
172
+ end_translation_dim: meter
173
+ annotations:
174
+ - eef_acc_mag_annotation.jsonl
175
+ - eef_direction_annotation.jsonl
176
+ - eef_velocity_annotation.jsonl
177
+ - gripper_activity_annotation.jsonl
178
+ - gripper_mode_annotation.jsonl
179
+ - scene_annotations.jsonl
180
+ - subtask_annotations.jsonl
181
+ statistics:
182
+ total_episodes: 199
183
+ total_frames: 302506
184
+ fps: 30
185
+ total_tasks: 28
186
+ total_videos: 597
187
+ total_chunks: 1
188
+ chunks_size: 1000
189
+ state_dim: 26
190
+ action_dim: 26
191
+ camera_views: 3
192
+ dataset_size: 3.88 GB
193
+ frame_num: 302506
194
+ dataset_size: 3.88 GB
195
+ data_structure: 'Agilex_Cobot_Magic_classify_objects_six_qced_hardlink/
196
+
197
+ |-- annotations
198
+
199
+ | |-- eef_acc_mag_annotation.jsonl
200
+
201
+ | |-- eef_direction_annotation.jsonl
202
+
203
+ | |-- eef_velocity_annotation.jsonl
204
+
205
+ | |-- gripper_activity_annotation.jsonl
206
+
207
+ | |-- gripper_mode_annotation.jsonl
208
+
209
+ | |-- scene_annotations.jsonl
210
+
211
+ | `-- subtask_annotations.jsonl
212
+
213
+ |-- data
214
+
215
+ | `-- chunk-000
216
+
217
+ | |-- episode_000000.parquet
218
+
219
+ | |-- episode_000001.parquet
220
+
221
+ | |-- episode_000002.parquet
222
+
223
+ | |-- episode_000003.parquet
224
+
225
+ | |-- episode_000004.parquet
226
+
227
+ | |-- episode_000005.parquet
228
+
229
+ | |-- episode_000006.parquet
230
+
231
+ | |-- episode_000007.parquet
232
+
233
+ | |-- episode_000008.parquet
234
+
235
+ | |-- episode_000009.parquet
236
+
237
+ | |-- episode_000010.parquet
238
+
239
+ | `-- episode_000011.parquet
240
+
241
+ | `-- ... (187 more entries)
242
+
243
+ |-- meta
244
+
245
+ | |-- episodes.jsonl
246
+
247
+ | |-- episodes_stats.jsonl
248
+
249
+ | |-- info.json
250
+
251
+ | `-- tasks.jsonl
252
+
253
+ |-- videos
254
+
255
+ | `-- chunk-000
256
+
257
+ | |-- observation.images.cam_head_rgb
258
+
259
+ | |-- observation.images.cam_left_wrist_rgb
260
+
261
+ | `-- observation.images.cam_right_wrist_rgb
262
+
263
+ |-- info.yaml
264
+
265
+ `-- README.md'
266
+ splits:
267
+ train: 0:198
268
+ features:
269
+ observation.images.cam_head_rgb:
270
+ dtype: video
271
+ shape:
272
+ - 480
273
+ - 640
274
+ - 3
275
+ names:
276
+ - height
277
+ - width
278
+ - channels
279
+ info:
280
+ video.height: 480
281
+ video.width: 640
282
+ video.codec: av1
283
+ video.pix_fmt: yuv420p
284
+ video.is_depth_map: false
285
+ video.fps: 30
286
+ video.channels: 3
287
+ has_audio: false
288
+ observation.images.cam_left_wrist_rgb:
289
+ dtype: video
290
+ shape:
291
+ - 480
292
+ - 640
293
+ - 3
294
+ names:
295
+ - height
296
+ - width
297
+ - channels
298
+ info:
299
+ video.height: 480
300
+ video.width: 640
301
+ video.codec: av1
302
+ video.pix_fmt: yuv420p
303
+ video.is_depth_map: false
304
+ video.fps: 30
305
+ video.channels: 3
306
+ has_audio: false
307
+ observation.images.cam_right_wrist_rgb:
308
+ dtype: video
309
+ shape:
310
+ - 480
311
+ - 640
312
+ - 3
313
+ names:
314
+ - height
315
+ - width
316
+ - channels
317
+ info:
318
+ video.height: 480
319
+ video.width: 640
320
+ video.codec: av1
321
+ video.pix_fmt: yuv420p
322
+ video.is_depth_map: false
323
+ video.fps: 30
324
+ video.channels: 3
325
+ has_audio: false
326
+ observation.state:
327
+ dtype: float32
328
+ shape:
329
+ - 26
330
+ names:
331
+ - left_arm_joint_1_rad
332
+ - left_arm_joint_2_rad
333
+ - left_arm_joint_3_rad
334
+ - left_arm_joint_4_rad
335
+ - left_arm_joint_5_rad
336
+ - left_arm_joint_6_rad
337
+ - left_gripper_open
338
+ - left_eef_pos_x_m
339
+ - left_eef_pos_y_m
340
+ - left_eef_pos_z_m
341
+ - left_eef_rot_euler_x_rad
342
+ - left_eef_rot_euler_y_rad
343
+ - left_eef_rot_euler_z_rad
344
+ - right_arm_joint_1_rad
345
+ - right_arm_joint_2_rad
346
+ - right_arm_joint_3_rad
347
+ - right_arm_joint_4_rad
348
+ - right_arm_joint_5_rad
349
+ - right_arm_joint_6_rad
350
+ - right_gripper_open
351
+ - right_eef_pos_x_m
352
+ - right_eef_pos_y_m
353
+ - right_eef_pos_z_m
354
+ - right_eef_rot_euler_x_rad
355
+ - right_eef_rot_euler_y_rad
356
+ - right_eef_rot_euler_z_rad
357
+ action:
358
+ dtype: float32
359
+ shape:
360
+ - 26
361
+ names:
362
+ - left_arm_joint_1_rad
363
+ - left_arm_joint_2_rad
364
+ - left_arm_joint_3_rad
365
+ - left_arm_joint_4_rad
366
+ - left_arm_joint_5_rad
367
+ - left_arm_joint_6_rad
368
+ - left_gripper_open
369
+ - left_eef_pos_x_m
370
+ - left_eef_pos_y_m
371
+ - left_eef_pos_z_m
372
+ - left_eef_rot_euler_x_rad
373
+ - left_eef_rot_euler_y_rad
374
+ - left_eef_rot_euler_z_rad
375
+ - right_arm_joint_1_rad
376
+ - right_arm_joint_2_rad
377
+ - right_arm_joint_3_rad
378
+ - right_arm_joint_4_rad
379
+ - right_arm_joint_5_rad
380
+ - right_arm_joint_6_rad
381
+ - right_gripper_open
382
+ - right_eef_pos_x_m
383
+ - right_eef_pos_y_m
384
+ - right_eef_pos_z_m
385
+ - right_eef_rot_euler_x_rad
386
+ - right_eef_rot_euler_y_rad
387
+ - right_eef_rot_euler_z_rad
388
+ timestamp:
389
+ dtype: float32
390
+ shape:
391
+ - 1
392
+ names: null
393
+ frame_index:
394
+ dtype: int64
395
+ shape:
396
+ - 1
397
+ names: null
398
+ episode_index:
399
+ dtype: int64
400
+ shape:
401
+ - 1
402
+ names: null
403
+ index:
404
+ dtype: int64
405
+ shape:
406
+ - 1
407
+ names: null
408
+ task_index:
409
+ dtype: int64
410
+ shape:
411
+ - 1
412
+ names: null
413
+ subtask_annotation:
414
+ names: null
415
+ dtype: int32
416
+ shape:
417
+ - 5
418
+ scene_annotation:
419
+ names: null
420
+ dtype: int32
421
+ shape:
422
+ - 1
423
+ eef_sim_pose_state:
424
+ names:
425
+ - left_eef_pos_x
426
+ - left_eef_pos_y
427
+ - left_eef_pos_z
428
+ - left_eef_rot_x
429
+ - left_eef_rot_y
430
+ - left_eef_rot_z
431
+ - right_eef_pos_x
432
+ - right_eef_pos_y
433
+ - right_eef_pos_z
434
+ - right_eef_rot_x
435
+ - right_eef_rot_y
436
+ - right_eef_rot_z
437
+ dtype: float32
438
+ shape:
439
+ - 12
440
+ eef_sim_pose_action:
441
+ names:
442
+ - left_eef_pos_x
443
+ - left_eef_pos_y
444
+ - left_eef_pos_z
445
+ - left_eef_rot_x
446
+ - left_eef_rot_y
447
+ - left_eef_rot_z
448
+ - right_eef_pos_x
449
+ - right_eef_pos_y
450
+ - right_eef_pos_z
451
+ - right_eef_rot_x
452
+ - right_eef_rot_y
453
+ - right_eef_rot_z
454
+ dtype: float32
455
+ shape:
456
+ - 12
457
+ eef_direction_state:
458
+ names:
459
+ - left_eef_direction
460
+ - right_eef_direction
461
+ dtype: int32
462
+ shape:
463
+ - 2
464
+ eef_direction_action:
465
+ names:
466
+ - left_eef_direction
467
+ - right_eef_direction
468
+ dtype: int32
469
+ shape:
470
+ - 2
471
+ eef_velocity_state:
472
+ names:
473
+ - left_eef_velocity
474
+ - right_eef_velocity
475
+ dtype: int32
476
+ shape:
477
+ - 2
478
+ eef_velocity_action:
479
+ names:
480
+ - left_eef_velocity
481
+ - right_eef_velocity
482
+ dtype: int32
483
+ shape:
484
+ - 2
485
+ eef_acc_mag_state:
486
+ names:
487
+ - left_eef_acc_mag
488
+ - right_eef_acc_mag
489
+ dtype: int32
490
+ shape:
491
+ - 2
492
+ eef_acc_mag_action:
493
+ names:
494
+ - left_eef_acc_mag
495
+ - right_eef_acc_mag
496
+ dtype: int32
497
+ shape:
498
+ - 2
499
+ gripper_mode_state:
500
+ names:
501
+ - left_gripper_mode
502
+ - right_gripper_mode
503
+ dtype: int32
504
+ shape:
505
+ - 2
506
+ gripper_mode_action:
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+ names:
508
+ - left_gripper_mode
509
+ - right_gripper_mode
510
+ dtype: int32
511
+ shape:
512
+ - 2
513
+ gripper_activity_state:
514
+ names:
515
+ - left_gripper_activity
516
+ - right_gripper_activity
517
+ dtype: int32
518
+ shape:
519
+ - 2
520
+ gripper_activity_action:
521
+ names:
522
+ - left_gripper_activity
523
+ - right_gripper_activity
524
+ dtype: int32
525
+ shape:
526
+ - 2
527
+ gripper_open_scale_state:
528
+ names:
529
+ - left_gripper_open_scale
530
+ - right_gripper_open_scale
531
+ dtype: float32
532
+ shape:
533
+ - 2
534
+ gripper_open_scale_action:
535
+ names:
536
+ - left_gripper_open_scale
537
+ - right_gripper_open_scale
538
+ dtype: float32
539
+ shape:
540
+ - 2
541
+ authors:
542
+ contributed_by:
543
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
544
+ dataset_description: This dataset uses an extended format based on LeRobot and is
545
+ fully compatible with LeRobot.
546
+ homepage: https://flagopen.github.io/RoboCOIN/
547
+ paper: https://arxiv.org/abs/2511.17441
548
+ repository: https://github.com/FlagOpen/RoboCOIN
549
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
550
+ us.
551
+ support_info: For technical support, please open an issue on our GitHub repository.
552
+ license_details: apache-2.0
553
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
554
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
555
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
556
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
557
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
558
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
559
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
560
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
561
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
562
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
563
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
564
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
565
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
566
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
567
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
568
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
569
+ additional_citations: 'If you use this dataset, please also consider citing:
570
+
571
+ LeRobot Framework: https://github.com/huggingface/lerobot
572
+
573
+ '
574
+ version_info: Initial Release
575
+ data_path: data/chunk-{id}/episode_{id}.parquet
576
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
577
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_connect_block.yaml ADDED
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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_connect_block
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
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+ level4: null
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+ level5: null
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+ - object_name: square_building_blocks
41
+ level1: toys
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+ level2: square_building_blocks
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
+ - According to the building block template in front, assemble the scattered blocks
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+ together.
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+ sub_tasks:
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+ - subtask: 'Put the yellow build block on the right of the green build block
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397
+ subtask_index: 86
398
+ - subtask: 'Put the green build block on the right of the blue build block
399
+
400
+ '
401
+ subtask_index: 87
402
+ - subtask: 'Put the orange build block on the right of the yellow build block
403
+
404
+ '
405
+ subtask_index: 88
406
+ - subtask: 'Put the blue build block on the right of the yellow build block
407
+
408
+ '
409
+ subtask_index: 89
410
+ - subtask: 'Put the red build block on the right of the green build block
411
+
412
+ '
413
+ subtask_index: 90
414
+ - subtask: 'Put the orange build block on the behind of the yellow build block
415
+
416
+ '
417
+ subtask_index: 91
418
+ - subtask: 'Put the yellow build block on the blue build block
419
+
420
+ '
421
+ subtask_index: 92
422
+ - subtask: 'Put the red build block on the right of the orange build block
423
+
424
+ '
425
+ subtask_index: 93
426
+ - subtask: 'Put the bluebuild block on the right of the yellow build block
427
+
428
+ '
429
+ subtask_index: 94
430
+ - subtask: 'Put the red build block in the center of the table
431
+
432
+ '
433
+ subtask_index: 95
434
+ - subtask: 'Put the red build block on the blue build block
435
+
436
+ '
437
+ subtask_index: 96
438
+ - subtask: 'Put the orange build block on the right of the blue build block
439
+
440
+ '
441
+ subtask_index: 97
442
+ - subtask: 'Put the blue build block on the behind of the orange build block
443
+
444
+ '
445
+ subtask_index: 98
446
+ - subtask: 'Put the yellow build block on the right of the red build block
447
+
448
+ '
449
+ subtask_index: 99
450
+ - subtask: '
451
+
452
+ Put the yellow build block on the behind of the green build block
453
+
454
+ '
455
+ subtask_index: 100
456
+ - subtask: 'Put the yellow build block on the right of the orange build block
457
+
458
+ '
459
+ subtask_index: 101
460
+ - subtask: 'Put the orange build block on the behind of the blue build block
461
+
462
+ '
463
+ subtask_index: 102
464
+ - subtask: 'Put the orange build block on the right of the red build block
465
+
466
+ '
467
+ subtask_index: 103
468
+ - subtask: 'Put the green build block on the behind of the orange build block
469
+
470
+ '
471
+ subtask_index: 104
472
+ - subtask: 'Put the blue build block on the behind of the yellow build block
473
+
474
+ '
475
+ subtask_index: 105
476
+ - subtask: 'Put the yellow build block on the right of the orange build block
477
+
478
+ '
479
+ subtask_index: 106
480
+ - subtask: 'Put the green build block on the behind of the yellow build block
481
+
482
+ '
483
+ subtask_index: 107
484
+ - subtask: 'Put the green build block on the right of the red build block
485
+
486
+ '
487
+ subtask_index: 108
488
+ - subtask: 'Put the red build block on the front of the blue build block
489
+
490
+ '
491
+ subtask_index: 109
492
+ - subtask: 'Put the red build block on the behind of the green'' build block
493
+
494
+ '
495
+ subtask_index: 110
496
+ - subtask: 'Put the red build block on the behind of the orange build block
497
+
498
+ '
499
+ subtask_index: 111
500
+ - subtask: 'Put the red build block on the left of the green build block
501
+
502
+ '
503
+ subtask_index: 112
504
+ - subtask: 'Put the green build block on the behind of the yellow build block
505
+
506
+ '
507
+ subtask_index: 113
508
+ - subtask: 'Put blue the build block on the right of the red build block
509
+
510
+ '
511
+ subtask_index: 114
512
+ - subtask: 'Put the green build block on the orange build block
513
+
514
+ '
515
+ subtask_index: 115
516
+ - subtask: 'Put the orange build block on the right of the red build block
517
+
518
+ '
519
+ subtask_index: 116
520
+ - subtask: 'Put the blue build block on the right of the green build block
521
+
522
+ '
523
+ subtask_index: 117
524
+ - subtask: 'Put the yellow build block on the right of the blue build block
525
+
526
+ '
527
+ subtask_index: 118
528
+ - subtask: 'Put the orange build block on the behind of the blue build block
529
+
530
+ '
531
+ subtask_index: 119
532
+ - subtask: '
533
+
534
+ Put the yellow build block in the center of the table'
535
+ subtask_index: 120
536
+ - subtask: 'Put the yellow build block on the right of the green build block
537
+
538
+ '
539
+ subtask_index: 121
540
+ - subtask: 'Put the green build block on the behind of the yellow build block
541
+
542
+ '
543
+ subtask_index: 122
544
+ - subtask: 'Put the blue build block in the center of the table
545
+
546
+ '
547
+ subtask_index: 123
548
+ - subtask: 'Put the orange build block in the center of the table
549
+
550
+ '
551
+ subtask_index: 124
552
+ - subtask: 'Put the yellow build block on the right of the green build block
553
+
554
+ '
555
+ subtask_index: 125
556
+ - subtask: 'Put the red build block on the right of the yellow build block
557
+
558
+ '
559
+ subtask_index: 126
560
+ - subtask: 'Put the yellow build block on the behind of the red build block
561
+
562
+ '
563
+ subtask_index: 127
564
+ - subtask: 'Put the red build block on the behind of the green build block
565
+
566
+ '
567
+ subtask_index: 128
568
+ - subtask: Put the green build block on the behind of the blue build block
569
+ subtask_index: 129
570
+ - subtask: 'Put the green build block on the behind of the orange build block
571
+
572
+ '
573
+ subtask_index: 130
574
+ - subtask: 'Put the blue build block on the right of the green build block
575
+
576
+ '
577
+ subtask_index: 131
578
+ - subtask: 'Put the green build block in the center of the table
579
+
580
+ '
581
+ subtask_index: 132
582
+ - subtask: Put the green build block on the behind of the blue build block
583
+ subtask_index: 133
584
+ - subtask: 'Put the green build block on the left of the orange build block
585
+
586
+ '
587
+ subtask_index: 134
588
+ - subtask: 'Put the red build block on the behind of the yellow build block
589
+
590
+ '
591
+ subtask_index: 135
592
+ - subtask: 'Put the yellow build block on the right of the green build block
593
+
594
+ '
595
+ subtask_index: 136
596
+ - subtask: 'Put the blue build block on the behind of the red build block
597
+
598
+ '
599
+ subtask_index: 137
600
+ - subtask: 'Put the orange build block on the behind of the red build block
601
+
602
+ '
603
+ subtask_index: 138
604
+ - subtask: 'Put the blue build block on the behind of the green build block
605
+
606
+ '
607
+ subtask_index: 139
608
+ - subtask: 'Put the yellow build block on the blue build block
609
+
610
+ '
611
+ subtask_index: 140
612
+ - subtask: 'Put the red build block on the front of the green build block
613
+
614
+ '
615
+ subtask_index: 141
616
+ - subtask: 'Put the red build block on the left of the ornage build block
617
+
618
+ '
619
+ subtask_index: 142
620
+ - subtask: 'Put the green build block in the center of the table
621
+
622
+ '
623
+ subtask_index: 143
624
+ - subtask: 'Put the red build block on the right of the green build block
625
+
626
+ '
627
+ subtask_index: 144
628
+ - subtask: 'Put the yellow build block on the right of the orange build block
629
+
630
+ '
631
+ subtask_index: 145
632
+ - subtask: 'Put the yellow build block on the right of the blue build block
633
+
634
+ '
635
+ subtask_index: 146
636
+ - subtask: Put the XX build block on the XX build block
637
+ subtask_index: 147
638
+ - subtask: 'Put the yellow build block in the center of the table
639
+
640
+ '
641
+ subtask_index: 148
642
+ - subtask: 'Put the orange build block on the green build block
643
+
644
+ '
645
+ subtask_index: 149
646
+ - subtask: End
647
+ subtask_index: 150
648
+ - subtask: 'Put the blue build block on the right of the red build block
649
+
650
+ '
651
+ subtask_index: 151
652
+ - subtask: 'Put the green build block on the right of the orange build block
653
+
654
+ '
655
+ subtask_index: 152
656
+ - subtask: 'Put the greem build block on the behind of the blue build block
657
+
658
+ '
659
+ subtask_index: 153
660
+ - subtask: 'Put the left build block on the left of the green build block
661
+
662
+ '
663
+ subtask_index: 154
664
+ - subtask: 'Put the green build block on the right of the orange build block
665
+
666
+ '
667
+ subtask_index: 155
668
+ - subtask: 'Put the red build block on the left of the blue build block
669
+
670
+ '
671
+ subtask_index: 156
672
+ - subtask: 'Put the blue build block on the right of the orange build block
673
+
674
+ '
675
+ subtask_index: 157
676
+ - subtask: 'Put the yellow build block on the behind of the orange build block
677
+
678
+ '
679
+ subtask_index: 158
680
+ - subtask: 'Put the green build block on the behind of the blue build block
681
+
682
+ '
683
+ subtask_index: 159
684
+ - subtask: 'Put the yellow build block on the right of the orange build block
685
+
686
+ '
687
+ subtask_index: 160
688
+ - subtask: 'Put the blue build block on the behind of the orange build block
689
+
690
+ '
691
+ subtask_index: 161
692
+ - subtask: 'Put the red build block on the front of the green build block
693
+
694
+ '
695
+ subtask_index: 162
696
+ - subtask: 'Put the red build block on the front of the yellow build block
697
+
698
+ '
699
+ subtask_index: 163
700
+ - subtask: 'Put the yellow build block on the behind of the blue build block
701
+
702
+ '
703
+ subtask_index: 164
704
+ - subtask: 'Put the blue build block on the orange build block
705
+
706
+ '
707
+ subtask_index: 165
708
+ - subtask: 'Put the green build block in the center of the table
709
+
710
+ '
711
+ subtask_index: 166
712
+ - subtask: 'Put the orange build block on the front of the blue build block
713
+
714
+ '
715
+ subtask_index: 167
716
+ - subtask: 'Put the blue build block on the right of the yellow build block
717
+
718
+ '
719
+ subtask_index: 168
720
+ - subtask: 'Put the blue build block on the left of the yellow build block
721
+
722
+ '
723
+ subtask_index: 169
724
+ - subtask: 'Put the orange build block on the right of the yellow build block
725
+
726
+ '
727
+ subtask_index: 170
728
+ - subtask: 'Put the orange build block on the left of the red build block
729
+
730
+ '
731
+ subtask_index: 171
732
+ - subtask: 'Put the green build block in the center of the table
733
+
734
+ '
735
+ subtask_index: 172
736
+ - subtask: 'Put the red build block on the right of the blue build block
737
+
738
+ '
739
+ subtask_index: 173
740
+ - subtask: Put the blue build block on the right of the yellow build block
741
+ subtask_index: 174
742
+ - subtask: 'Put the green build block on the right of the orange build block
743
+
744
+ '
745
+ subtask_index: 175
746
+ - subtask: 'Put the blue build block in the center of the table
747
+
748
+ '
749
+ subtask_index: 176
750
+ - subtask: 'Put the green build block on the right of the red build block
751
+
752
+ '
753
+ subtask_index: 177
754
+ - subtask: 'Put the green build block on the right of the blue build block
755
+
756
+ '
757
+ subtask_index: 178
758
+ - subtask: 'Put the yellow build block in the center of the table
759
+
760
+ '
761
+ subtask_index: 179
762
+ - subtask: Abnormal
763
+ subtask_index: 180
764
+ - subtask: 'Put the red build block on the behind of the orange build block
765
+
766
+ '
767
+ subtask_index: 181
768
+ - subtask: 'Put the red build block on the yellow build block
769
+
770
+ '
771
+ subtask_index: 182
772
+ - subtask: 'Put the orange build block on the right of the yellow build block
773
+
774
+ '
775
+ subtask_index: 183
776
+ - subtask: 'Put the red build block on the right of the yellow build block
777
+
778
+ '
779
+ subtask_index: 184
780
+ - subtask: 'Put the orange build block on the right of the blue build block
781
+
782
+ '
783
+ subtask_index: 185
784
+ - subtask: 'Put the orange build block on the orange build block
785
+
786
+ '
787
+ subtask_index: 186
788
+ - subtask: 'Put the blue build block on the behind of the red build block
789
+
790
+ '
791
+ subtask_index: 187
792
+ - subtask: 'Put the yellow build block on the right of the blue build block
793
+
794
+ '
795
+ subtask_index: 188
796
+ - subtask: 'Put the yellow build block on the behind of the green build block
797
+
798
+ '
799
+ subtask_index: 189
800
+ - subtask: 'Put the yellow build block on the left of the blue build block
801
+
802
+ '
803
+ subtask_index: 190
804
+ - subtask: 'Put the yellow build block on the right of the orange build block
805
+
806
+ '
807
+ subtask_index: 191
808
+ - subtask: 'Put the yellow build block on the blue build block
809
+
810
+ '
811
+ subtask_index: 192
812
+ - subtask: 'Put the yellow build block on the behind of the blue build block
813
+
814
+ '
815
+ subtask_index: 193
816
+ - subtask: 'Put the green build block on the right of the blue build block
817
+
818
+ '
819
+ subtask_index: 194
820
+ - subtask: 'Put the orange build block on the right of the yellow build block
821
+
822
+ '
823
+ subtask_index: 195
824
+ - subtask: 'Put the red build block on the behind of the green build block
825
+
826
+ '
827
+ subtask_index: 196
828
+ - subtask: 'Put the red build block in the center of the table
829
+
830
+ '
831
+ subtask_index: 197
832
+ - subtask: 'Put the yellow build block on the behind of the blue build block
833
+
834
+ '
835
+ subtask_index: 198
836
+ - subtask: 'Put the green build block on the behind of the orange build block
837
+
838
+ '
839
+ subtask_index: 199
840
+ - subtask: 'Put the yellow build block on the behind of the red build block
841
+
842
+ '
843
+ subtask_index: 200
844
+ - subtask: 'Put the green build block on the right of the yellow build block
845
+
846
+ '
847
+ subtask_index: 201
848
+ - subtask: 'Put the green build block on the red build block
849
+
850
+ '
851
+ subtask_index: 202
852
+ - subtask: 'Put the blue build block on the right of the orange build block
853
+
854
+ '
855
+ subtask_index: 203
856
+ - subtask: 'Put the red build block on the behind of the orange build block
857
+
858
+ '
859
+ subtask_index: 204
860
+ - subtask: 'Put the red build block in the center of the table
861
+
862
+ '
863
+ subtask_index: 205
864
+ - subtask: 'Put the red build block in the center of the table
865
+
866
+ '
867
+ subtask_index: 206
868
+ - subtask: 'Put the green build block on the right of the orange build block
869
+
870
+ '
871
+ subtask_index: 207
872
+ - subtask: 'Put the green build block on the front of the blue build block
873
+
874
+ '
875
+ subtask_index: 208
876
+ - subtask: 'Put the yellow build block on the behind of the orange build block
877
+
878
+ '
879
+ subtask_index: 209
880
+ - subtask: 'Put the yellow build block on the behind of the blue build block
881
+
882
+ '
883
+ subtask_index: 210
884
+ - subtask: 'Put the green build block on the blue build block
885
+
886
+ '
887
+ subtask_index: 211
888
+ - subtask: Put the blue build block on the right of the yellow build block
889
+ subtask_index: 212
890
+ - subtask: 'Put the blue build block on the right of the orange build block
891
+
892
+ '
893
+ subtask_index: 213
894
+ - subtask: 'Put the orange build block on the left of the red build block
895
+
896
+ '
897
+ subtask_index: 214
898
+ - subtask: 'Put the orange build block on the right of the blue build block
899
+
900
+ '
901
+ subtask_index: 215
902
+ - subtask: 'Put the blue build block on the front of the green build block
903
+
904
+ '
905
+ subtask_index: 216
906
+ - subtask: 'Put the yellow build block on the orange build block
907
+
908
+ '
909
+ subtask_index: 217
910
+ - subtask: 'Put the yellow build block on the front of the red build block
911
+
912
+ '
913
+ subtask_index: 218
914
+ - subtask: 'Put the orange build block on the behind of the red build block
915
+
916
+ '
917
+ subtask_index: 219
918
+ - subtask: 'Put the yellow build block on the behind of the green build block
919
+
920
+ '
921
+ subtask_index: 220
922
+ - subtask: 'Put the blue build block on the right of orange the build block
923
+
924
+ '
925
+ subtask_index: 221
926
+ - subtask: 'Put the red build block on the right of the blue build block
927
+
928
+ '
929
+ subtask_index: 222
930
+ - subtask: 'Put the green build block on the behind of the orange build block
931
+
932
+ '
933
+ subtask_index: 223
934
+ - subtask: 'Put the green build block on the behind of the yellow build block
935
+
936
+ '
937
+ subtask_index: 224
938
+ - subtask: 'Put the yellow build block on the right of the green build block
939
+
940
+ '
941
+ subtask_index: 225
942
+ - subtask: 'Put the orange build block on the right of the green build block
943
+
944
+ '
945
+ subtask_index: 226
946
+ - subtask: 'Put the orange build block on the right of the yellow build block
947
+
948
+ '
949
+ subtask_index: 227
950
+ - subtask: 'Put the red build block on the green build block
951
+
952
+ '
953
+ subtask_index: 228
954
+ - subtask: 'Put the red build block on the right of the blue build block
955
+
956
+ '
957
+ subtask_index: 229
958
+ - subtask: 'Put the blue build block on the behind of the green build block
959
+
960
+ '
961
+ subtask_index: 230
962
+ - subtask: 'Put the orange build block on the right of the red build block
963
+
964
+ '
965
+ subtask_index: 231
966
+ - subtask: 'Put the blue build block on the red build block
967
+
968
+ '
969
+ subtask_index: 232
970
+ - subtask: 'Put the orange build block on the right of the blue build block
971
+
972
+ '
973
+ subtask_index: 233
974
+ - subtask: 'Put the orange build block on the left of the yellow build block
975
+
976
+ '
977
+ subtask_index: 234
978
+ - subtask: 'Put the right build block on the right of the yellow build block
979
+
980
+ '
981
+ subtask_index: 235
982
+ - subtask: 'Put the green build block on the right of the red build block
983
+
984
+ '
985
+ subtask_index: 236
986
+ - subtask: 'Put the orange build block on the right of the green build block
987
+
988
+ '
989
+ subtask_index: 237
990
+ - subtask: 'Put the blue build block in the center of the table
991
+
992
+ '
993
+ subtask_index: 238
994
+ - subtask: 'Put the orange build block on the behind of the yellow build block
995
+
996
+ '
997
+ subtask_index: 239
998
+ - subtask: 'Put the orange build block on the right of the blue build block
999
+
1000
+ '
1001
+ subtask_index: 240
1002
+ - subtask: 'Put the orange build block on the behind of the blue build block
1003
+
1004
+ '
1005
+ subtask_index: 241
1006
+ - subtask: 'Put the red build block on the behind of the yellow build block
1007
+
1008
+ '
1009
+ subtask_index: 242
1010
+ - subtask: 'Put the ornage build block on the behind of the green build block
1011
+
1012
+ '
1013
+ subtask_index: 243
1014
+ - subtask: 'Put the blue build block on the left of the yellow build block
1015
+
1016
+ '
1017
+ subtask_index: 244
1018
+ - subtask: 'Put the green build block on the front of the blue build block
1019
+
1020
+ '
1021
+ subtask_index: 245
1022
+ - subtask: 'Put the green build block on the behind of the red build block
1023
+
1024
+ '
1025
+ subtask_index: 246
1026
+ - subtask: 'Put the green build block on the right of the orange build block
1027
+
1028
+ '
1029
+ subtask_index: 247
1030
+ - subtask: 'Put the green build block on the right of the orange build block
1031
+
1032
+ '
1033
+ subtask_index: 248
1034
+ - subtask: 'Put the yellow build block on the behind of the red build block
1035
+
1036
+ '
1037
+ subtask_index: 249
1038
+ - subtask: 'Put the blue build block on the green build block
1039
+
1040
+ '
1041
+ subtask_index: 250
1042
+ - subtask: Put the blue build block on the right of the orange build block
1043
+ subtask_index: 251
1044
+ - subtask: 'Put the orange build block on the right of the green build block
1045
+
1046
+ '
1047
+ subtask_index: 252
1048
+ - subtask: 'Put the orange build block on the behind of the yellow build block
1049
+
1050
+ '
1051
+ subtask_index: 253
1052
+ - subtask: 'Put the green build block in the center of the table
1053
+
1054
+ '
1055
+ subtask_index: 254
1056
+ - subtask: 'Put the blue build block on the behind of the orange build block
1057
+
1058
+ '
1059
+ subtask_index: 255
1060
+ - subtask: Put the green build block on the left of the orange build block
1061
+ subtask_index: 256
1062
+ - subtask: 'Put the green build block on the right of the yellow build block
1063
+
1064
+ '
1065
+ subtask_index: 257
1066
+ - subtask: 'Put the green build block on the left of the blue build block
1067
+
1068
+ '
1069
+ subtask_index: 258
1070
+ - subtask: 'Put the orange build block on the right of the green build block
1071
+
1072
+ '
1073
+ subtask_index: 259
1074
+ - subtask: 'Put the green build block on the orange build block
1075
+
1076
+ '
1077
+ subtask_index: 260
1078
+ - subtask: 'Put the blue build block on the behind of the green build block
1079
+
1080
+ '
1081
+ subtask_index: 261
1082
+ - subtask: 'Put the yellow build block on the behind of the red build block
1083
+
1084
+ '
1085
+ subtask_index: 262
1086
+ - subtask: 'Put the orange build block on the green build block
1087
+
1088
+ '
1089
+ subtask_index: 263
1090
+ - subtask: 'Put the red build block on the behind of the blue build block
1091
+
1092
+ '
1093
+ subtask_index: 264
1094
+ - subtask: 'Put the blue build block on the right of the orange build block
1095
+
1096
+ '
1097
+ subtask_index: 265
1098
+ - subtask: move the build block to the center of the table
1099
+ subtask_index: 266
1100
+ - subtask: 'Put the green build block on the right of the red build block
1101
+
1102
+ '
1103
+ subtask_index: 267
1104
+ - subtask: 'Put the red build block on the behind of the green build block
1105
+
1106
+ '
1107
+ subtask_index: 268
1108
+ - subtask: 'Put the red build block on the behind of the blue build block
1109
+
1110
+ '
1111
+ subtask_index: 269
1112
+ - subtask: 'Put the yellow build block on the behind of the orange build block
1113
+
1114
+ '
1115
+ subtask_index: 270
1116
+ - subtask: 'Put the red build block on the right of the orange build block
1117
+
1118
+ '
1119
+ subtask_index: 271
1120
+ - subtask: 'Put the green build block on the right of the yellow build block
1121
+
1122
+ '
1123
+ subtask_index: 272
1124
+ - subtask: 'Put the red build block on the right of the yellow build block
1125
+
1126
+ '
1127
+ subtask_index: 273
1128
+ - subtask: 'Put the red build block in the center of the table
1129
+
1130
+ '
1131
+ subtask_index: 274
1132
+ - subtask: Put the red build block on the right of the blue build block
1133
+ subtask_index: 275
1134
+ - subtask: Put the yellow build block on the behind of the green build block
1135
+ subtask_index: 276
1136
+ - subtask: 'Put the red build block on the right of the orange build block
1137
+
1138
+ '
1139
+ subtask_index: 277
1140
+ - subtask: 'Put the blue build block on the right of the orange build block
1141
+
1142
+ '
1143
+ subtask_index: 278
1144
+ - subtask: 'Put the orange build block on the behind of the green build block
1145
+
1146
+ '
1147
+ subtask_index: 279
1148
+ - subtask: 'Put the blue build block on the front of the green build block
1149
+
1150
+ '
1151
+ subtask_index: 280
1152
+ - subtask: 'Put the ornage build block on the behind of the blue build block
1153
+
1154
+ '
1155
+ subtask_index: 281
1156
+ - subtask: 'Put the yellow build block on the behind of the orange build block
1157
+
1158
+ '
1159
+ subtask_index: 282
1160
+ - subtask: 'Put the green build block on the behind of the blue build block
1161
+
1162
+ '
1163
+ subtask_index: 283
1164
+ - subtask: 'Put the green build block on the left of the blue build block
1165
+
1166
+ '
1167
+ subtask_index: 284
1168
+ - subtask: 'Put the blue build block in the center of the table
1169
+
1170
+ '
1171
+ subtask_index: 285
1172
+ - subtask: 'Put the green build block on the right of the yellow build block
1173
+
1174
+ '
1175
+ subtask_index: 286
1176
+ - subtask: Put the yellow build block on the behind of the blue build block
1177
+ subtask_index: 287
1178
+ - subtask: 'Put the green build block on the right of the orange build block
1179
+
1180
+ '
1181
+ subtask_index: 288
1182
+ - subtask: 'Put the green build block on the blue build block
1183
+
1184
+ '
1185
+ subtask_index: 289
1186
+ - subtask: 'Put the orange build block on the behind of the blue build block
1187
+
1188
+ '
1189
+ subtask_index: 290
1190
+ - subtask: 'Put the red build block on the behind of the yellow build block
1191
+
1192
+ '
1193
+ subtask_index: 291
1194
+ - subtask: 'Put the orange build block on the blue build block
1195
+
1196
+ '
1197
+ subtask_index: 292
1198
+ - subtask: 'Put the green build block on the right of the orange build block
1199
+
1200
+ '
1201
+ subtask_index: 293
1202
+ - subtask: 'Put the orange build block on the left of the red build block
1203
+
1204
+ '
1205
+ subtask_index: 294
1206
+ - subtask: Put the green build block in the center of the table
1207
+ subtask_index: 295
1208
+ - subtask: 'null'
1209
+ subtask_index: 296
1210
+ atomic_actions:
1211
+ - grasp
1212
+ - lift
1213
+ - lower
1214
+ robot_name:
1215
+ - Agilex_Cobot_Magic
1216
+ end_effector_type: two_finger_gripper
1217
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
1218
+ type information.
1219
+ sensor_list:
1220
+ - cam_head_rgb
1221
+ - cam_left_wrist_rgb
1222
+ - cam_right_wrist_rgb
1223
+ - cam_front_chest_rgb
1224
+ came_info:
1225
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
1226
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
1227
+ pix_fmt=yuv420p
1228
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
1229
+ pix_fmt=yuv420p
1230
+ cam_front_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
1231
+ pix_fmt=yuv420p
1232
+ depth_enabled: false
1233
+ coordinate_definition: right-hand-frame
1234
+ joint_rotation_dim: radian
1235
+ end_rotation_dim: radian
1236
+ end_translation_dim: meter
1237
+ annotations:
1238
+ - eef_acc_mag_annotation.jsonl
1239
+ - eef_direction_annotation.jsonl
1240
+ - eef_velocity_annotation.jsonl
1241
+ - gripper_activity_annotation.jsonl
1242
+ - gripper_mode_annotation.jsonl
1243
+ - scene_annotations.jsonl
1244
+ - subtask_annotations.jsonl
1245
+ statistics:
1246
+ total_episodes: 238
1247
+ total_frames: 232528
1248
+ fps: 30
1249
+ total_tasks: 297
1250
+ total_videos: 952
1251
+ total_chunks: 1
1252
+ chunks_size: 1000
1253
+ state_dim: 26
1254
+ action_dim: 26
1255
+ camera_views: 4
1256
+ dataset_size: 2.20 GB
1257
+ frame_num: 232528
1258
+ dataset_size: 2.20 GB
1259
+ data_structure: 'Agilex_Cobot_Magic_connect_block_qced_hardlink/
1260
+
1261
+ |-- annotations
1262
+
1263
+ | |-- eef_acc_mag_annotation.jsonl
1264
+
1265
+ | |-- eef_direction_annotation.jsonl
1266
+
1267
+ | |-- eef_velocity_annotation.jsonl
1268
+
1269
+ | |-- gripper_activity_annotation.jsonl
1270
+
1271
+ | |-- gripper_mode_annotation.jsonl
1272
+
1273
+ | |-- scene_annotations.jsonl
1274
+
1275
+ | `-- subtask_annotations.jsonl
1276
+
1277
+ |-- data
1278
+
1279
+ | `-- chunk-000
1280
+
1281
+ | |-- episode_000000.parquet
1282
+
1283
+ | |-- episode_000001.parquet
1284
+
1285
+ | |-- episode_000002.parquet
1286
+
1287
+ | |-- episode_000003.parquet
1288
+
1289
+ | |-- episode_000004.parquet
1290
+
1291
+ | |-- episode_000005.parquet
1292
+
1293
+ | |-- episode_000006.parquet
1294
+
1295
+ | |-- episode_000007.parquet
1296
+
1297
+ | |-- episode_000008.parquet
1298
+
1299
+ | |-- episode_000009.parquet
1300
+
1301
+ | |-- episode_000010.parquet
1302
+
1303
+ | `-- episode_000011.parquet
1304
+
1305
+ | `-- ... (226 more entries)
1306
+
1307
+ |-- meta
1308
+
1309
+ | |-- episodes.jsonl
1310
+
1311
+ | |-- episodes_stats.jsonl
1312
+
1313
+ | |-- info.json
1314
+
1315
+ | `-- tasks.jsonl
1316
+
1317
+ |-- videos
1318
+
1319
+ | `-- chunk-000
1320
+
1321
+ | |-- observation.images.cam_front_chest_rgb
1322
+
1323
+ | |-- observation.images.cam_head_rgb
1324
+
1325
+ | |-- observation.images.cam_left_wrist_rgb
1326
+
1327
+ | `-- observation.images.cam_right_wrist_rgb
1328
+
1329
+ |-- info.yaml
1330
+
1331
+ `-- README.md'
1332
+ splits:
1333
+ train: 0:237
1334
+ features:
1335
+ observation.images.cam_head_rgb:
1336
+ dtype: video
1337
+ shape:
1338
+ - 480
1339
+ - 640
1340
+ - 3
1341
+ names:
1342
+ - height
1343
+ - width
1344
+ - channels
1345
+ info:
1346
+ video.height: 480
1347
+ video.width: 640
1348
+ video.codec: av1
1349
+ video.pix_fmt: yuv420p
1350
+ video.is_depth_map: false
1351
+ video.fps: 30
1352
+ video.channels: 3
1353
+ has_audio: false
1354
+ observation.images.cam_left_wrist_rgb:
1355
+ dtype: video
1356
+ shape:
1357
+ - 480
1358
+ - 640
1359
+ - 3
1360
+ names:
1361
+ - height
1362
+ - width
1363
+ - channels
1364
+ info:
1365
+ video.height: 480
1366
+ video.width: 640
1367
+ video.codec: av1
1368
+ video.pix_fmt: yuv420p
1369
+ video.is_depth_map: false
1370
+ video.fps: 30
1371
+ video.channels: 3
1372
+ has_audio: false
1373
+ observation.images.cam_right_wrist_rgb:
1374
+ dtype: video
1375
+ shape:
1376
+ - 480
1377
+ - 640
1378
+ - 3
1379
+ names:
1380
+ - height
1381
+ - width
1382
+ - channels
1383
+ info:
1384
+ video.height: 480
1385
+ video.width: 640
1386
+ video.codec: av1
1387
+ video.pix_fmt: yuv420p
1388
+ video.is_depth_map: false
1389
+ video.fps: 30
1390
+ video.channels: 3
1391
+ has_audio: false
1392
+ observation.images.cam_front_chest_rgb:
1393
+ dtype: video
1394
+ shape:
1395
+ - 480
1396
+ - 640
1397
+ - 3
1398
+ names:
1399
+ - height
1400
+ - width
1401
+ - channels
1402
+ info:
1403
+ video.height: 480
1404
+ video.width: 640
1405
+ video.codec: av1
1406
+ video.pix_fmt: yuv420p
1407
+ video.is_depth_map: false
1408
+ video.fps: 30
1409
+ video.channels: 3
1410
+ has_audio: false
1411
+ observation.state:
1412
+ dtype: float32
1413
+ shape:
1414
+ - 26
1415
+ names:
1416
+ - left_arm_joint_1_rad
1417
+ - left_arm_joint_2_rad
1418
+ - left_arm_joint_3_rad
1419
+ - left_arm_joint_4_rad
1420
+ - left_arm_joint_5_rad
1421
+ - left_arm_joint_6_rad
1422
+ - left_gripper_open
1423
+ - left_eef_pos_x_m
1424
+ - left_eef_pos_y_m
1425
+ - left_eef_pos_z_m
1426
+ - left_eef_rot_euler_x_rad
1427
+ - left_eef_rot_euler_y_rad
1428
+ - left_eef_rot_euler_z_rad
1429
+ - right_arm_joint_1_rad
1430
+ - right_arm_joint_2_rad
1431
+ - right_arm_joint_3_rad
1432
+ - right_arm_joint_4_rad
1433
+ - right_arm_joint_5_rad
1434
+ - right_arm_joint_6_rad
1435
+ - right_gripper_open
1436
+ - right_eef_pos_x_m
1437
+ - right_eef_pos_y_m
1438
+ - right_eef_pos_z_m
1439
+ - right_eef_rot_euler_x_rad
1440
+ - right_eef_rot_euler_y_rad
1441
+ - right_eef_rot_euler_z_rad
1442
+ action:
1443
+ dtype: float32
1444
+ shape:
1445
+ - 26
1446
+ names:
1447
+ - left_arm_joint_1_rad
1448
+ - left_arm_joint_2_rad
1449
+ - left_arm_joint_3_rad
1450
+ - left_arm_joint_4_rad
1451
+ - left_arm_joint_5_rad
1452
+ - left_arm_joint_6_rad
1453
+ - left_gripper_open
1454
+ - left_eef_pos_x_m
1455
+ - left_eef_pos_y_m
1456
+ - left_eef_pos_z_m
1457
+ - left_eef_rot_euler_x_rad
1458
+ - left_eef_rot_euler_y_rad
1459
+ - left_eef_rot_euler_z_rad
1460
+ - right_arm_joint_1_rad
1461
+ - right_arm_joint_2_rad
1462
+ - right_arm_joint_3_rad
1463
+ - right_arm_joint_4_rad
1464
+ - right_arm_joint_5_rad
1465
+ - right_arm_joint_6_rad
1466
+ - right_gripper_open
1467
+ - right_eef_pos_x_m
1468
+ - right_eef_pos_y_m
1469
+ - right_eef_pos_z_m
1470
+ - right_eef_rot_euler_x_rad
1471
+ - right_eef_rot_euler_y_rad
1472
+ - right_eef_rot_euler_z_rad
1473
+ timestamp:
1474
+ dtype: float32
1475
+ shape:
1476
+ - 1
1477
+ names: null
1478
+ frame_index:
1479
+ dtype: int64
1480
+ shape:
1481
+ - 1
1482
+ names: null
1483
+ episode_index:
1484
+ dtype: int64
1485
+ shape:
1486
+ - 1
1487
+ names: null
1488
+ index:
1489
+ dtype: int64
1490
+ shape:
1491
+ - 1
1492
+ names: null
1493
+ task_index:
1494
+ dtype: int64
1495
+ shape:
1496
+ - 1
1497
+ names: null
1498
+ subtask_annotation:
1499
+ names: null
1500
+ dtype: int32
1501
+ shape:
1502
+ - 5
1503
+ scene_annotation:
1504
+ names: null
1505
+ dtype: int32
1506
+ shape:
1507
+ - 1
1508
+ eef_sim_pose_state:
1509
+ names:
1510
+ - left_eef_pos_x
1511
+ - left_eef_pos_y
1512
+ - left_eef_pos_z
1513
+ - left_eef_rot_x
1514
+ - left_eef_rot_y
1515
+ - left_eef_rot_z
1516
+ - right_eef_pos_x
1517
+ - right_eef_pos_y
1518
+ - right_eef_pos_z
1519
+ - right_eef_rot_x
1520
+ - right_eef_rot_y
1521
+ - right_eef_rot_z
1522
+ dtype: float32
1523
+ shape:
1524
+ - 12
1525
+ eef_sim_pose_action:
1526
+ names:
1527
+ - left_eef_pos_x
1528
+ - left_eef_pos_y
1529
+ - left_eef_pos_z
1530
+ - left_eef_rot_x
1531
+ - left_eef_rot_y
1532
+ - left_eef_rot_z
1533
+ - right_eef_pos_x
1534
+ - right_eef_pos_y
1535
+ - right_eef_pos_z
1536
+ - right_eef_rot_x
1537
+ - right_eef_rot_y
1538
+ - right_eef_rot_z
1539
+ dtype: float32
1540
+ shape:
1541
+ - 12
1542
+ eef_direction_state:
1543
+ names:
1544
+ - left_eef_direction
1545
+ - right_eef_direction
1546
+ dtype: int32
1547
+ shape:
1548
+ - 2
1549
+ eef_direction_action:
1550
+ names:
1551
+ - left_eef_direction
1552
+ - right_eef_direction
1553
+ dtype: int32
1554
+ shape:
1555
+ - 2
1556
+ eef_velocity_state:
1557
+ names:
1558
+ - left_eef_velocity
1559
+ - right_eef_velocity
1560
+ dtype: int32
1561
+ shape:
1562
+ - 2
1563
+ eef_velocity_action:
1564
+ names:
1565
+ - left_eef_velocity
1566
+ - right_eef_velocity
1567
+ dtype: int32
1568
+ shape:
1569
+ - 2
1570
+ eef_acc_mag_state:
1571
+ names:
1572
+ - left_eef_acc_mag
1573
+ - right_eef_acc_mag
1574
+ dtype: int32
1575
+ shape:
1576
+ - 2
1577
+ eef_acc_mag_action:
1578
+ names:
1579
+ - left_eef_acc_mag
1580
+ - right_eef_acc_mag
1581
+ dtype: int32
1582
+ shape:
1583
+ - 2
1584
+ gripper_mode_state:
1585
+ names:
1586
+ - left_gripper_mode
1587
+ - right_gripper_mode
1588
+ dtype: int32
1589
+ shape:
1590
+ - 2
1591
+ gripper_mode_action:
1592
+ names:
1593
+ - left_gripper_mode
1594
+ - right_gripper_mode
1595
+ dtype: int32
1596
+ shape:
1597
+ - 2
1598
+ gripper_activity_state:
1599
+ names:
1600
+ - left_gripper_activity
1601
+ - right_gripper_activity
1602
+ dtype: int32
1603
+ shape:
1604
+ - 2
1605
+ gripper_activity_action:
1606
+ names:
1607
+ - left_gripper_activity
1608
+ - right_gripper_activity
1609
+ dtype: int32
1610
+ shape:
1611
+ - 2
1612
+ gripper_open_scale_state:
1613
+ names:
1614
+ - left_gripper_open_scale
1615
+ - right_gripper_open_scale
1616
+ dtype: float32
1617
+ shape:
1618
+ - 2
1619
+ gripper_open_scale_action:
1620
+ names:
1621
+ - left_gripper_open_scale
1622
+ - right_gripper_open_scale
1623
+ dtype: float32
1624
+ shape:
1625
+ - 2
1626
+ authors:
1627
+ contributed_by:
1628
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
1629
+ dataset_description: This dataset uses an extended format based on LeRobot and is
1630
+ fully compatible with LeRobot.
1631
+ homepage: https://flagopen.github.io/RoboCOIN/
1632
+ paper: https://arxiv.org/abs/2511.17441
1633
+ repository: https://github.com/FlagOpen/RoboCOIN
1634
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
1635
+ us.
1636
+ support_info: For technical support, please open an issue on our GitHub repository.
1637
+ license_details: apache-2.0
1638
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
1639
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
1640
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
1641
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
1642
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
1643
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
1644
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
1645
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
1646
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
1647
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
1648
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
1649
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
1650
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
1651
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
1652
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
1653
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
1654
+ additional_citations: 'If you use this dataset, please also consider citing:
1655
+
1656
+ LeRobot Framework: https://github.com/huggingface/lerobot
1657
+
1658
+ '
1659
+ version_info: Initial Release
1660
+ data_path: data/chunk-{id}/episode_{id}.parquet
1661
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
1662
+ video_url: videos/chunk-000/observation.images.cam_front_chest_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_erase_board_passing_right_to_left.yaml ADDED
@@ -0,0 +1,501 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_passing_right_to_left
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: whiteboard_eraser
47
+ level1: stationery
48
+ level2: 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
+ - use the right gripper to place the eraser in the left, use the left gripper to pick
56
+ up the eraser, wipe the notes on the whiteboard clean, and then put it down.
57
+ sub_tasks:
58
+ - subtask: Place the eraser with the left gripper
59
+ subtask_index: 0
60
+ - subtask: Grasp the eraser with the left gripper
61
+ subtask_index: 1
62
+ - subtask: Abnormal
63
+ subtask_index: 2
64
+ - subtask: End
65
+ subtask_index: 3
66
+ - subtask: Move the eraser to the left side of the blackboard with the right gripper
67
+ subtask_index: 4
68
+ - subtask: Grasp the eraser and wipe the blackboard with the left gripper
69
+ subtask_index: 5
70
+ - subtask: 'null'
71
+ subtask_index: 6
72
+ atomic_actions:
73
+ - grasp
74
+ - lift
75
+ - wipe
76
+ - handover
77
+ robot_name:
78
+ - Agilex_Cobot_Magic
79
+ end_effector_type: two_finger_gripper
80
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
81
+ type information.
82
+ sensor_list:
83
+ - cam_head_rgb
84
+ - cam_left_wrist_rgb
85
+ - cam_right_wrist_rgb
86
+ came_info:
87
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ depth_enabled: false
93
+ coordinate_definition: right-hand-frame
94
+ joint_rotation_dim: radian
95
+ end_rotation_dim: radian
96
+ end_translation_dim: meter
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: 47
107
+ total_frames: 38184
108
+ fps: 30
109
+ total_tasks: 7
110
+ total_videos: 141
111
+ total_chunks: 1
112
+ chunks_size: 1000
113
+ state_dim: 26
114
+ action_dim: 26
115
+ camera_views: 3
116
+ dataset_size: 334.71 MB
117
+ frame_num: 38184
118
+ dataset_size: 334.71 MB
119
+ data_structure: 'Agilex_Cobot_Magic_erase_board_passing_right_to_left_qced_hardlink/
120
+
121
+ |-- annotations
122
+
123
+ | |-- eef_acc_mag_annotation.jsonl
124
+
125
+ | |-- eef_direction_annotation.jsonl
126
+
127
+ | |-- eef_velocity_annotation.jsonl
128
+
129
+ | |-- gripper_activity_annotation.jsonl
130
+
131
+ | |-- gripper_mode_annotation.jsonl
132
+
133
+ | |-- scene_annotations.jsonl
134
+
135
+ | `-- subtask_annotations.jsonl
136
+
137
+ |-- data
138
+
139
+ | `-- chunk-000
140
+
141
+ | |-- episode_000000.parquet
142
+
143
+ | |-- episode_000001.parquet
144
+
145
+ | |-- episode_000002.parquet
146
+
147
+ | |-- episode_000003.parquet
148
+
149
+ | |-- episode_000004.parquet
150
+
151
+ | |-- episode_000005.parquet
152
+
153
+ | |-- episode_000006.parquet
154
+
155
+ | |-- episode_000007.parquet
156
+
157
+ | |-- episode_000008.parquet
158
+
159
+ | |-- episode_000009.parquet
160
+
161
+ | |-- episode_000010.parquet
162
+
163
+ | `-- episode_000011.parquet
164
+
165
+ | `-- ... (35 more entries)
166
+
167
+ |-- meta
168
+
169
+ | |-- episodes.jsonl
170
+
171
+ | |-- episodes_stats.jsonl
172
+
173
+ | |-- info.json
174
+
175
+ | `-- tasks.jsonl
176
+
177
+ |-- videos
178
+
179
+ | `-- chunk-000
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: 0:46
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.state:
251
+ dtype: float32
252
+ shape:
253
+ - 26
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
+ - left_gripper_open
262
+ - left_eef_pos_x_m
263
+ - left_eef_pos_y_m
264
+ - left_eef_pos_z_m
265
+ - left_eef_rot_euler_x_rad
266
+ - left_eef_rot_euler_y_rad
267
+ - left_eef_rot_euler_z_rad
268
+ - right_arm_joint_1_rad
269
+ - right_arm_joint_2_rad
270
+ - right_arm_joint_3_rad
271
+ - right_arm_joint_4_rad
272
+ - right_arm_joint_5_rad
273
+ - right_arm_joint_6_rad
274
+ - right_gripper_open
275
+ - right_eef_pos_x_m
276
+ - right_eef_pos_y_m
277
+ - right_eef_pos_z_m
278
+ - right_eef_rot_euler_x_rad
279
+ - right_eef_rot_euler_y_rad
280
+ - right_eef_rot_euler_z_rad
281
+ action:
282
+ dtype: float32
283
+ shape:
284
+ - 26
285
+ names:
286
+ - left_arm_joint_1_rad
287
+ - left_arm_joint_2_rad
288
+ - left_arm_joint_3_rad
289
+ - left_arm_joint_4_rad
290
+ - left_arm_joint_5_rad
291
+ - left_arm_joint_6_rad
292
+ - left_gripper_open
293
+ - left_eef_pos_x_m
294
+ - left_eef_pos_y_m
295
+ - left_eef_pos_z_m
296
+ - left_eef_rot_euler_x_rad
297
+ - left_eef_rot_euler_y_rad
298
+ - left_eef_rot_euler_z_rad
299
+ - right_arm_joint_1_rad
300
+ - right_arm_joint_2_rad
301
+ - right_arm_joint_3_rad
302
+ - right_arm_joint_4_rad
303
+ - right_arm_joint_5_rad
304
+ - right_arm_joint_6_rad
305
+ - right_gripper_open
306
+ - right_eef_pos_x_m
307
+ - right_eef_pos_y_m
308
+ - right_eef_pos_z_m
309
+ - right_eef_rot_euler_x_rad
310
+ - right_eef_rot_euler_y_rad
311
+ - right_eef_rot_euler_z_rad
312
+ timestamp:
313
+ dtype: float32
314
+ shape:
315
+ - 1
316
+ names: null
317
+ frame_index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ episode_index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ task_index:
333
+ dtype: int64
334
+ shape:
335
+ - 1
336
+ names: null
337
+ subtask_annotation:
338
+ names: null
339
+ dtype: int32
340
+ shape:
341
+ - 5
342
+ scene_annotation:
343
+ names: null
344
+ dtype: int32
345
+ shape:
346
+ - 1
347
+ eef_sim_pose_state:
348
+ names:
349
+ - left_eef_pos_x
350
+ - left_eef_pos_y
351
+ - left_eef_pos_z
352
+ - left_eef_rot_x
353
+ - left_eef_rot_y
354
+ - left_eef_rot_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_rot_x
359
+ - right_eef_rot_y
360
+ - right_eef_rot_z
361
+ dtype: float32
362
+ shape:
363
+ - 12
364
+ eef_sim_pose_action:
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_direction_state:
382
+ names:
383
+ - left_eef_direction
384
+ - right_eef_direction
385
+ dtype: int32
386
+ shape:
387
+ - 2
388
+ eef_direction_action:
389
+ names:
390
+ - left_eef_direction
391
+ - right_eef_direction
392
+ dtype: int32
393
+ shape:
394
+ - 2
395
+ eef_velocity_state:
396
+ names:
397
+ - left_eef_velocity
398
+ - right_eef_velocity
399
+ dtype: int32
400
+ shape:
401
+ - 2
402
+ eef_velocity_action:
403
+ names:
404
+ - left_eef_velocity
405
+ - right_eef_velocity
406
+ dtype: int32
407
+ shape:
408
+ - 2
409
+ eef_acc_mag_state:
410
+ names:
411
+ - left_eef_acc_mag
412
+ - right_eef_acc_mag
413
+ dtype: int32
414
+ shape:
415
+ - 2
416
+ eef_acc_mag_action:
417
+ names:
418
+ - left_eef_acc_mag
419
+ - right_eef_acc_mag
420
+ dtype: int32
421
+ shape:
422
+ - 2
423
+ gripper_mode_state:
424
+ names:
425
+ - left_gripper_mode
426
+ - right_gripper_mode
427
+ dtype: int32
428
+ shape:
429
+ - 2
430
+ gripper_mode_action:
431
+ names:
432
+ - left_gripper_mode
433
+ - right_gripper_mode
434
+ dtype: int32
435
+ shape:
436
+ - 2
437
+ gripper_activity_state:
438
+ names:
439
+ - left_gripper_activity
440
+ - right_gripper_activity
441
+ dtype: int32
442
+ shape:
443
+ - 2
444
+ gripper_activity_action:
445
+ names:
446
+ - left_gripper_activity
447
+ - right_gripper_activity
448
+ dtype: int32
449
+ shape:
450
+ - 2
451
+ gripper_open_scale_state:
452
+ names:
453
+ - left_gripper_open_scale
454
+ - right_gripper_open_scale
455
+ dtype: float32
456
+ shape:
457
+ - 2
458
+ gripper_open_scale_action:
459
+ names:
460
+ - left_gripper_open_scale
461
+ - right_gripper_open_scale
462
+ dtype: float32
463
+ shape:
464
+ - 2
465
+ authors:
466
+ contributed_by:
467
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
468
+ dataset_description: This dataset uses an extended format based on LeRobot and is
469
+ fully compatible with LeRobot.
470
+ homepage: https://flagopen.github.io/RoboCOIN/
471
+ paper: https://arxiv.org/abs/2511.17441
472
+ repository: https://github.com/FlagOpen/RoboCOIN
473
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
474
+ us.
475
+ support_info: For technical support, please open an issue on our GitHub repository.
476
+ license_details: apache-2.0
477
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
478
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
479
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
480
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
481
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
482
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
483
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
484
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
485
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
486
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
487
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
488
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
489
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
490
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
491
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
492
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
493
+ additional_citations: 'If you use this dataset, please also consider citing:
494
+
495
+ LeRobot Framework: https://github.com/huggingface/lerobot
496
+
497
+ '
498
+ version_info: Initial Release
499
+ data_path: data/chunk-{id}/episode_{id}.parquet
500
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
501
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_erase_board_right.yaml ADDED
@@ -0,0 +1,501 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_right
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: whiteboard_eraser
47
+ level1: stationery
48
+ level2: 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
+ - use the right gripper to pick up the board eraser, wipe the notes on the whiteboard
56
+ clean, and then put them back in place.
57
+ sub_tasks:
58
+ - subtask: Right gripper
59
+ subtask_index: 0
60
+ - subtask: Wipe off the writing on the board with right gripper
61
+ subtask_index: 1
62
+ - subtask: Place the board eraser on the right side of board with right gripper
63
+ subtask_index: 2
64
+ - subtask: Move the board eraser to the right of the whiteboard with right gripper
65
+ subtask_index: 3
66
+ - subtask: Pick up the board eraser with right gripper
67
+ subtask_index: 4
68
+ - subtask: End
69
+ subtask_index: 5
70
+ - subtask: 'null'
71
+ subtask_index: 6
72
+ atomic_actions:
73
+ - grasp
74
+ - lift
75
+ - wipe
76
+ - handover
77
+ robot_name:
78
+ - Agilex_Cobot_Magic
79
+ end_effector_type: two_finger_gripper
80
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
81
+ type information.
82
+ sensor_list:
83
+ - cam_head_rgb
84
+ - cam_left_wrist_rgb
85
+ - cam_right_wrist_rgb
86
+ came_info:
87
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ depth_enabled: false
93
+ coordinate_definition: right-hand-frame
94
+ joint_rotation_dim: radian
95
+ end_rotation_dim: radian
96
+ end_translation_dim: meter
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: 50
107
+ total_frames: 28998
108
+ fps: 30
109
+ total_tasks: 7
110
+ total_videos: 150
111
+ total_chunks: 1
112
+ chunks_size: 1000
113
+ state_dim: 26
114
+ action_dim: 26
115
+ camera_views: 3
116
+ dataset_size: 249.99 MB
117
+ frame_num: 28998
118
+ dataset_size: 249.99 MB
119
+ data_structure: 'Agilex_Cobot_Magic_erase_board_right_qced_hardlink/
120
+
121
+ |-- annotations
122
+
123
+ | |-- eef_acc_mag_annotation.jsonl
124
+
125
+ | |-- eef_direction_annotation.jsonl
126
+
127
+ | |-- eef_velocity_annotation.jsonl
128
+
129
+ | |-- gripper_activity_annotation.jsonl
130
+
131
+ | |-- gripper_mode_annotation.jsonl
132
+
133
+ | |-- scene_annotations.jsonl
134
+
135
+ | `-- subtask_annotations.jsonl
136
+
137
+ |-- data
138
+
139
+ | `-- chunk-000
140
+
141
+ | |-- episode_000000.parquet
142
+
143
+ | |-- episode_000001.parquet
144
+
145
+ | |-- episode_000002.parquet
146
+
147
+ | |-- episode_000003.parquet
148
+
149
+ | |-- episode_000004.parquet
150
+
151
+ | |-- episode_000005.parquet
152
+
153
+ | |-- episode_000006.parquet
154
+
155
+ | |-- episode_000007.parquet
156
+
157
+ | |-- episode_000008.parquet
158
+
159
+ | |-- episode_000009.parquet
160
+
161
+ | |-- episode_000010.parquet
162
+
163
+ | `-- episode_000011.parquet
164
+
165
+ | `-- ... (38 more entries)
166
+
167
+ |-- meta
168
+
169
+ | |-- episodes.jsonl
170
+
171
+ | |-- episodes_stats.jsonl
172
+
173
+ | |-- info.json
174
+
175
+ | `-- tasks.jsonl
176
+
177
+ |-- videos
178
+
179
+ | `-- chunk-000
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.state:
251
+ dtype: float32
252
+ shape:
253
+ - 26
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
+ - left_gripper_open
262
+ - left_eef_pos_x_m
263
+ - left_eef_pos_y_m
264
+ - left_eef_pos_z_m
265
+ - left_eef_rot_euler_x_rad
266
+ - left_eef_rot_euler_y_rad
267
+ - left_eef_rot_euler_z_rad
268
+ - right_arm_joint_1_rad
269
+ - right_arm_joint_2_rad
270
+ - right_arm_joint_3_rad
271
+ - right_arm_joint_4_rad
272
+ - right_arm_joint_5_rad
273
+ - right_arm_joint_6_rad
274
+ - right_gripper_open
275
+ - right_eef_pos_x_m
276
+ - right_eef_pos_y_m
277
+ - right_eef_pos_z_m
278
+ - right_eef_rot_euler_x_rad
279
+ - right_eef_rot_euler_y_rad
280
+ - right_eef_rot_euler_z_rad
281
+ action:
282
+ dtype: float32
283
+ shape:
284
+ - 26
285
+ names:
286
+ - left_arm_joint_1_rad
287
+ - left_arm_joint_2_rad
288
+ - left_arm_joint_3_rad
289
+ - left_arm_joint_4_rad
290
+ - left_arm_joint_5_rad
291
+ - left_arm_joint_6_rad
292
+ - left_gripper_open
293
+ - left_eef_pos_x_m
294
+ - left_eef_pos_y_m
295
+ - left_eef_pos_z_m
296
+ - left_eef_rot_euler_x_rad
297
+ - left_eef_rot_euler_y_rad
298
+ - left_eef_rot_euler_z_rad
299
+ - right_arm_joint_1_rad
300
+ - right_arm_joint_2_rad
301
+ - right_arm_joint_3_rad
302
+ - right_arm_joint_4_rad
303
+ - right_arm_joint_5_rad
304
+ - right_arm_joint_6_rad
305
+ - right_gripper_open
306
+ - right_eef_pos_x_m
307
+ - right_eef_pos_y_m
308
+ - right_eef_pos_z_m
309
+ - right_eef_rot_euler_x_rad
310
+ - right_eef_rot_euler_y_rad
311
+ - right_eef_rot_euler_z_rad
312
+ timestamp:
313
+ dtype: float32
314
+ shape:
315
+ - 1
316
+ names: null
317
+ frame_index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ episode_index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ task_index:
333
+ dtype: int64
334
+ shape:
335
+ - 1
336
+ names: null
337
+ subtask_annotation:
338
+ names: null
339
+ dtype: int32
340
+ shape:
341
+ - 5
342
+ scene_annotation:
343
+ names: null
344
+ dtype: int32
345
+ shape:
346
+ - 1
347
+ eef_sim_pose_state:
348
+ names:
349
+ - left_eef_pos_x
350
+ - left_eef_pos_y
351
+ - left_eef_pos_z
352
+ - left_eef_rot_x
353
+ - left_eef_rot_y
354
+ - left_eef_rot_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_rot_x
359
+ - right_eef_rot_y
360
+ - right_eef_rot_z
361
+ dtype: float32
362
+ shape:
363
+ - 12
364
+ eef_sim_pose_action:
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_direction_state:
382
+ names:
383
+ - left_eef_direction
384
+ - right_eef_direction
385
+ dtype: int32
386
+ shape:
387
+ - 2
388
+ eef_direction_action:
389
+ names:
390
+ - left_eef_direction
391
+ - right_eef_direction
392
+ dtype: int32
393
+ shape:
394
+ - 2
395
+ eef_velocity_state:
396
+ names:
397
+ - left_eef_velocity
398
+ - right_eef_velocity
399
+ dtype: int32
400
+ shape:
401
+ - 2
402
+ eef_velocity_action:
403
+ names:
404
+ - left_eef_velocity
405
+ - right_eef_velocity
406
+ dtype: int32
407
+ shape:
408
+ - 2
409
+ eef_acc_mag_state:
410
+ names:
411
+ - left_eef_acc_mag
412
+ - right_eef_acc_mag
413
+ dtype: int32
414
+ shape:
415
+ - 2
416
+ eef_acc_mag_action:
417
+ names:
418
+ - left_eef_acc_mag
419
+ - right_eef_acc_mag
420
+ dtype: int32
421
+ shape:
422
+ - 2
423
+ gripper_mode_state:
424
+ names:
425
+ - left_gripper_mode
426
+ - right_gripper_mode
427
+ dtype: int32
428
+ shape:
429
+ - 2
430
+ gripper_mode_action:
431
+ names:
432
+ - left_gripper_mode
433
+ - right_gripper_mode
434
+ dtype: int32
435
+ shape:
436
+ - 2
437
+ gripper_activity_state:
438
+ names:
439
+ - left_gripper_activity
440
+ - right_gripper_activity
441
+ dtype: int32
442
+ shape:
443
+ - 2
444
+ gripper_activity_action:
445
+ names:
446
+ - left_gripper_activity
447
+ - right_gripper_activity
448
+ dtype: int32
449
+ shape:
450
+ - 2
451
+ gripper_open_scale_state:
452
+ names:
453
+ - left_gripper_open_scale
454
+ - right_gripper_open_scale
455
+ dtype: float32
456
+ shape:
457
+ - 2
458
+ gripper_open_scale_action:
459
+ names:
460
+ - left_gripper_open_scale
461
+ - right_gripper_open_scale
462
+ dtype: float32
463
+ shape:
464
+ - 2
465
+ authors:
466
+ contributed_by:
467
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
468
+ dataset_description: This dataset uses an extended format based on LeRobot and is
469
+ fully compatible with LeRobot.
470
+ homepage: https://flagopen.github.io/RoboCOIN/
471
+ paper: https://arxiv.org/abs/2511.17441
472
+ repository: https://github.com/FlagOpen/RoboCOIN
473
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
474
+ us.
475
+ support_info: For technical support, please open an issue on our GitHub repository.
476
+ license_details: apache-2.0
477
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
478
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
479
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
480
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
481
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
482
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
483
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
484
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
485
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
486
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
487
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
488
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
489
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
490
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
491
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
492
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
493
+ additional_citations: 'If you use this dataset, please also consider citing:
494
+
495
+ LeRobot Framework: https://github.com/huggingface/lerobot
496
+
497
+ '
498
+ version_info: Initial Release
499
+ data_path: data/chunk-{id}/episode_{id}.parquet
500
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
501
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_shorts_khaki.yaml ADDED
@@ -0,0 +1,505 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_fold_shorts_khaki
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: table
35
+ level1: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: khaki_shorts
41
+ level1: clothing
42
+ level2: khaki_shorts
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: green_tray
47
+ level1: kitchen_supplies
48
+ level2: green_tray
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
+ - fold the khaki jeans in half with two grippers, then fold them in half again, and
56
+ use the left claw to place the folded fold khaki jeans on the tray.
57
+ sub_tasks:
58
+ - subtask: Fold the khaki trousers from right to left with the right gripper
59
+ subtask_index: 0
60
+ - subtask: Fold the khaki trousers upwards with the right gripper
61
+ subtask_index: 1
62
+ - subtask: Fold the khaki trousers from left to right with the left gripper
63
+ subtask_index: 2
64
+ - subtask: Fold the khaki trousers upwards with the left gripper
65
+ subtask_index: 3
66
+ - subtask: Place the folded khaki trousers on the green tray with the left gripper
67
+ subtask_index: 4
68
+ - subtask: Grasp the khaki trousers with the left gripper
69
+ subtask_index: 5
70
+ - subtask: Grasp the khaki trousers with the right gripper
71
+ subtask_index: 6
72
+ - subtask: end
73
+ subtask_index: 7
74
+ - subtask: 'null'
75
+ subtask_index: 8
76
+ atomic_actions:
77
+ - grasp
78
+ - lift
79
+ - lower
80
+ - fold
81
+ robot_name:
82
+ - Agilex_Cobot_Magic
83
+ end_effector_type: two_finger_gripper
84
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
85
+ type information.
86
+ sensor_list:
87
+ - cam_head_rgb
88
+ - cam_left_wrist_rgb
89
+ - cam_right_wrist_rgb
90
+ came_info:
91
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
92
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
93
+ pix_fmt=yuv420p
94
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
95
+ pix_fmt=yuv420p
96
+ depth_enabled: false
97
+ coordinate_definition: right-hand-frame
98
+ joint_rotation_dim: radian
99
+ end_rotation_dim: radian
100
+ end_translation_dim: meter
101
+ annotations:
102
+ - eef_acc_mag_annotation.jsonl
103
+ - eef_direction_annotation.jsonl
104
+ - eef_velocity_annotation.jsonl
105
+ - gripper_activity_annotation.jsonl
106
+ - gripper_mode_annotation.jsonl
107
+ - scene_annotations.jsonl
108
+ - subtask_annotations.jsonl
109
+ statistics:
110
+ total_episodes: 50
111
+ total_frames: 55392
112
+ fps: 30
113
+ total_tasks: 9
114
+ total_videos: 150
115
+ total_chunks: 1
116
+ chunks_size: 1000
117
+ state_dim: 26
118
+ action_dim: 26
119
+ camera_views: 3
120
+ dataset_size: 637.64 MB
121
+ frame_num: 55392
122
+ dataset_size: 637.64 MB
123
+ data_structure: 'Agilex_Cobot_Magic_fold_shorts_khaki_qced_hardlink/
124
+
125
+ |-- annotations
126
+
127
+ | |-- eef_acc_mag_annotation.jsonl
128
+
129
+ | |-- eef_direction_annotation.jsonl
130
+
131
+ | |-- eef_velocity_annotation.jsonl
132
+
133
+ | |-- gripper_activity_annotation.jsonl
134
+
135
+ | |-- gripper_mode_annotation.jsonl
136
+
137
+ | |-- scene_annotations.jsonl
138
+
139
+ | `-- subtask_annotations.jsonl
140
+
141
+ |-- data
142
+
143
+ | `-- chunk-000
144
+
145
+ | |-- episode_000000.parquet
146
+
147
+ | |-- episode_000001.parquet
148
+
149
+ | |-- episode_000002.parquet
150
+
151
+ | |-- episode_000003.parquet
152
+
153
+ | |-- episode_000004.parquet
154
+
155
+ | |-- episode_000005.parquet
156
+
157
+ | |-- episode_000006.parquet
158
+
159
+ | |-- episode_000007.parquet
160
+
161
+ | |-- episode_000008.parquet
162
+
163
+ | |-- episode_000009.parquet
164
+
165
+ | |-- episode_000010.parquet
166
+
167
+ | `-- episode_000011.parquet
168
+
169
+ | `-- ... (38 more entries)
170
+
171
+ |-- meta
172
+
173
+ | |-- episodes.jsonl
174
+
175
+ | |-- episodes_stats.jsonl
176
+
177
+ | |-- info.json
178
+
179
+ | `-- tasks.jsonl
180
+
181
+ |-- videos
182
+
183
+ | `-- chunk-000
184
+
185
+ | |-- observation.images.cam_head_rgb
186
+
187
+ | |-- observation.images.cam_left_wrist_rgb
188
+
189
+ | `-- observation.images.cam_right_wrist_rgb
190
+
191
+ |-- info.yaml
192
+
193
+ `-- README.md'
194
+ splits:
195
+ train: 0:49
196
+ features:
197
+ observation.images.cam_head_rgb:
198
+ dtype: video
199
+ shape:
200
+ - 480
201
+ - 640
202
+ - 3
203
+ names:
204
+ - height
205
+ - width
206
+ - channels
207
+ info:
208
+ video.height: 480
209
+ video.width: 640
210
+ video.codec: av1
211
+ video.pix_fmt: yuv420p
212
+ video.is_depth_map: false
213
+ video.fps: 30
214
+ video.channels: 3
215
+ has_audio: false
216
+ observation.images.cam_left_wrist_rgb:
217
+ dtype: video
218
+ shape:
219
+ - 480
220
+ - 640
221
+ - 3
222
+ names:
223
+ - height
224
+ - width
225
+ - channels
226
+ info:
227
+ video.height: 480
228
+ video.width: 640
229
+ video.codec: av1
230
+ video.pix_fmt: yuv420p
231
+ video.is_depth_map: false
232
+ video.fps: 30
233
+ video.channels: 3
234
+ has_audio: false
235
+ observation.images.cam_right_wrist_rgb:
236
+ dtype: video
237
+ shape:
238
+ - 480
239
+ - 640
240
+ - 3
241
+ names:
242
+ - height
243
+ - width
244
+ - channels
245
+ info:
246
+ video.height: 480
247
+ video.width: 640
248
+ video.codec: av1
249
+ video.pix_fmt: yuv420p
250
+ video.is_depth_map: false
251
+ video.fps: 30
252
+ video.channels: 3
253
+ has_audio: false
254
+ observation.state:
255
+ dtype: float32
256
+ shape:
257
+ - 26
258
+ names:
259
+ - left_arm_joint_1_rad
260
+ - left_arm_joint_2_rad
261
+ - left_arm_joint_3_rad
262
+ - left_arm_joint_4_rad
263
+ - left_arm_joint_5_rad
264
+ - left_arm_joint_6_rad
265
+ - left_gripper_open
266
+ - left_eef_pos_x_m
267
+ - left_eef_pos_y_m
268
+ - left_eef_pos_z_m
269
+ - left_eef_rot_euler_x_rad
270
+ - left_eef_rot_euler_y_rad
271
+ - left_eef_rot_euler_z_rad
272
+ - right_arm_joint_1_rad
273
+ - right_arm_joint_2_rad
274
+ - right_arm_joint_3_rad
275
+ - right_arm_joint_4_rad
276
+ - right_arm_joint_5_rad
277
+ - right_arm_joint_6_rad
278
+ - right_gripper_open
279
+ - right_eef_pos_x_m
280
+ - right_eef_pos_y_m
281
+ - right_eef_pos_z_m
282
+ - right_eef_rot_euler_x_rad
283
+ - right_eef_rot_euler_y_rad
284
+ - right_eef_rot_euler_z_rad
285
+ action:
286
+ dtype: float32
287
+ shape:
288
+ - 26
289
+ names:
290
+ - left_arm_joint_1_rad
291
+ - left_arm_joint_2_rad
292
+ - left_arm_joint_3_rad
293
+ - left_arm_joint_4_rad
294
+ - left_arm_joint_5_rad
295
+ - left_arm_joint_6_rad
296
+ - left_gripper_open
297
+ - left_eef_pos_x_m
298
+ - left_eef_pos_y_m
299
+ - left_eef_pos_z_m
300
+ - left_eef_rot_euler_x_rad
301
+ - left_eef_rot_euler_y_rad
302
+ - left_eef_rot_euler_z_rad
303
+ - right_arm_joint_1_rad
304
+ - right_arm_joint_2_rad
305
+ - right_arm_joint_3_rad
306
+ - right_arm_joint_4_rad
307
+ - right_arm_joint_5_rad
308
+ - right_arm_joint_6_rad
309
+ - right_gripper_open
310
+ - right_eef_pos_x_m
311
+ - right_eef_pos_y_m
312
+ - right_eef_pos_z_m
313
+ - right_eef_rot_euler_x_rad
314
+ - right_eef_rot_euler_y_rad
315
+ - right_eef_rot_euler_z_rad
316
+ timestamp:
317
+ dtype: float32
318
+ shape:
319
+ - 1
320
+ names: null
321
+ frame_index:
322
+ dtype: int64
323
+ shape:
324
+ - 1
325
+ names: null
326
+ episode_index:
327
+ dtype: int64
328
+ shape:
329
+ - 1
330
+ names: null
331
+ index:
332
+ dtype: int64
333
+ shape:
334
+ - 1
335
+ names: null
336
+ task_index:
337
+ dtype: int64
338
+ shape:
339
+ - 1
340
+ names: null
341
+ subtask_annotation:
342
+ names: null
343
+ dtype: int32
344
+ shape:
345
+ - 5
346
+ scene_annotation:
347
+ names: null
348
+ dtype: int32
349
+ shape:
350
+ - 1
351
+ eef_sim_pose_state:
352
+ names:
353
+ - left_eef_pos_x
354
+ - left_eef_pos_y
355
+ - left_eef_pos_z
356
+ - left_eef_rot_x
357
+ - left_eef_rot_y
358
+ - left_eef_rot_z
359
+ - right_eef_pos_x
360
+ - right_eef_pos_y
361
+ - right_eef_pos_z
362
+ - right_eef_rot_x
363
+ - right_eef_rot_y
364
+ - right_eef_rot_z
365
+ dtype: float32
366
+ shape:
367
+ - 12
368
+ eef_sim_pose_action:
369
+ names:
370
+ - left_eef_pos_x
371
+ - left_eef_pos_y
372
+ - left_eef_pos_z
373
+ - left_eef_rot_x
374
+ - left_eef_rot_y
375
+ - left_eef_rot_z
376
+ - right_eef_pos_x
377
+ - right_eef_pos_y
378
+ - right_eef_pos_z
379
+ - right_eef_rot_x
380
+ - right_eef_rot_y
381
+ - right_eef_rot_z
382
+ dtype: float32
383
+ shape:
384
+ - 12
385
+ eef_direction_state:
386
+ names:
387
+ - left_eef_direction
388
+ - right_eef_direction
389
+ dtype: int32
390
+ shape:
391
+ - 2
392
+ eef_direction_action:
393
+ names:
394
+ - left_eef_direction
395
+ - right_eef_direction
396
+ dtype: int32
397
+ shape:
398
+ - 2
399
+ eef_velocity_state:
400
+ names:
401
+ - left_eef_velocity
402
+ - right_eef_velocity
403
+ dtype: int32
404
+ shape:
405
+ - 2
406
+ eef_velocity_action:
407
+ names:
408
+ - left_eef_velocity
409
+ - right_eef_velocity
410
+ dtype: int32
411
+ shape:
412
+ - 2
413
+ eef_acc_mag_state:
414
+ names:
415
+ - left_eef_acc_mag
416
+ - right_eef_acc_mag
417
+ dtype: int32
418
+ shape:
419
+ - 2
420
+ eef_acc_mag_action:
421
+ names:
422
+ - left_eef_acc_mag
423
+ - right_eef_acc_mag
424
+ dtype: int32
425
+ shape:
426
+ - 2
427
+ gripper_mode_state:
428
+ names:
429
+ - left_gripper_mode
430
+ - right_gripper_mode
431
+ dtype: int32
432
+ shape:
433
+ - 2
434
+ gripper_mode_action:
435
+ names:
436
+ - left_gripper_mode
437
+ - right_gripper_mode
438
+ dtype: int32
439
+ shape:
440
+ - 2
441
+ gripper_activity_state:
442
+ names:
443
+ - left_gripper_activity
444
+ - right_gripper_activity
445
+ dtype: int32
446
+ shape:
447
+ - 2
448
+ gripper_activity_action:
449
+ names:
450
+ - left_gripper_activity
451
+ - right_gripper_activity
452
+ dtype: int32
453
+ shape:
454
+ - 2
455
+ gripper_open_scale_state:
456
+ names:
457
+ - left_gripper_open_scale
458
+ - right_gripper_open_scale
459
+ dtype: float32
460
+ shape:
461
+ - 2
462
+ gripper_open_scale_action:
463
+ names:
464
+ - left_gripper_open_scale
465
+ - right_gripper_open_scale
466
+ dtype: float32
467
+ shape:
468
+ - 2
469
+ authors:
470
+ contributed_by:
471
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
472
+ dataset_description: This dataset uses an extended format based on LeRobot and is
473
+ fully compatible with LeRobot.
474
+ homepage: https://flagopen.github.io/RoboCOIN/
475
+ paper: https://arxiv.org/abs/2511.17441
476
+ repository: https://github.com/FlagOpen/RoboCOIN
477
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
478
+ us.
479
+ support_info: For technical support, please open an issue on our GitHub repository.
480
+ license_details: apache-2.0
481
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
482
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
483
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
484
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
485
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
486
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
487
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
488
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
489
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
490
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
491
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
492
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
493
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
494
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
495
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
496
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
497
+ additional_citations: 'If you use this dataset, please also consider citing:
498
+
499
+ LeRobot Framework: https://github.com/huggingface/lerobot
500
+
501
+ '
502
+ version_info: Initial Release
503
+ data_path: data/chunk-{id}/episode_{id}.parquet
504
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
505
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_storage_orange_basket_left.yaml ADDED
@@ -0,0 +1,511 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_orange_basket_left
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: brown_basket
41
+ level1: home_storage
42
+ level2: brown_basket
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: orange
47
+ level1: food
48
+ level2: orange
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
+ - left gripper grabs oranges and puts them in the basket.
56
+ sub_tasks:
57
+ - subtask: End
58
+ subtask_index: 0
59
+ - subtask: Place the orange in the basket with left gripper
60
+ subtask_index: 1
61
+ - subtask: Abnormal
62
+ subtask_index: 2
63
+ - subtask: Grasp the orange with left gripper
64
+ subtask_index: 3
65
+ - subtask: 'null'
66
+ subtask_index: 4
67
+ atomic_actions:
68
+ - grasp
69
+ - lift
70
+ - lower
71
+ robot_name:
72
+ - Agilex_Cobot_Magic
73
+ end_effector_type: two_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
+ came_info:
81
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
82
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
83
+ pix_fmt=yuv420p
84
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
85
+ pix_fmt=yuv420p
86
+ depth_enabled: false
87
+ coordinate_definition: right-hand-frame
88
+ joint_rotation_dim: radian
89
+ end_rotation_dim: radian
90
+ end_translation_dim: meter
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: 99
101
+ total_frames: 40181
102
+ fps: 30
103
+ total_tasks: 5
104
+ total_videos: 297
105
+ total_chunks: 1
106
+ chunks_size: 1000
107
+ state_dim: 26
108
+ action_dim: 26
109
+ camera_views: 3
110
+ dataset_size: 488.80 MB
111
+ frame_num: 40181
112
+ dataset_size: 488.80 MB
113
+ data_structure: 'Agilex_Cobot_Magic_storage_orange_basket_left_qced_hardlink/
114
+
115
+ |-- annotations
116
+
117
+ | |-- eef_acc_mag_annotation.jsonl
118
+
119
+ | |-- eef_direction_annotation.jsonl
120
+
121
+ | |-- eef_velocity_annotation.jsonl
122
+
123
+ | |-- gripper_activity_annotation.jsonl
124
+
125
+ | |-- gripper_mode_annotation.jsonl
126
+
127
+ | |-- scene_annotations.jsonl
128
+
129
+ | `-- subtask_annotations.jsonl
130
+
131
+ |-- backup
132
+
133
+ | |-- data
134
+
135
+ | | `-- chunk-000
136
+
137
+ | `-- meta
138
+
139
+ | |-- episodes.jsonl
140
+
141
+ | |-- episodes_stats.jsonl
142
+
143
+ | |-- info.json
144
+
145
+ | `-- tasks.jsonl
146
+
147
+ |-- data
148
+
149
+ | `-- chunk-000
150
+
151
+ | |-- episode_000000.parquet
152
+
153
+ | |-- episode_000001.parquet
154
+
155
+ | |-- episode_000002.parquet
156
+
157
+ | |-- episode_000003.parquet
158
+
159
+ | |-- episode_000004.parquet
160
+
161
+ | |-- episode_000005.parquet
162
+
163
+ | |-- episode_000006.parquet
164
+
165
+ | |-- episode_000007.parquet
166
+
167
+ | |-- episode_000008.parquet
168
+
169
+ | |-- episode_000009.parquet
170
+
171
+ | |-- episode_000010.parquet
172
+
173
+ | `-- episode_000011.parquet
174
+
175
+ | `-- ... (87 more entries)
176
+
177
+ |-- meta
178
+
179
+ | |-- episodes.jsonl
180
+
181
+ | |-- episodes_stats.jsonl
182
+
183
+ | |-- info.json
184
+
185
+ | `-- tasks.jsonl
186
+
187
+ |-- videos
188
+
189
+ | `-- chunk-000
190
+
191
+ | |-- observation.images.cam_head_rgb
192
+
193
+ | |-- observation.images.cam_left_wrist_rgb
194
+
195
+ | `-- observation.images.cam_right_wrist_rgb
196
+
197
+ |-- info.yaml
198
+
199
+ `-- README.md'
200
+ splits:
201
+ train: 0:98
202
+ features:
203
+ observation.images.cam_head_rgb:
204
+ dtype: video
205
+ shape:
206
+ - 480
207
+ - 640
208
+ - 3
209
+ names:
210
+ - height
211
+ - width
212
+ - channels
213
+ info:
214
+ video.height: 480
215
+ video.width: 640
216
+ video.codec: av1
217
+ video.pix_fmt: yuv420p
218
+ video.is_depth_map: false
219
+ video.fps: 30
220
+ video.channels: 3
221
+ has_audio: false
222
+ observation.images.cam_left_wrist_rgb:
223
+ dtype: video
224
+ shape:
225
+ - 480
226
+ - 640
227
+ - 3
228
+ names:
229
+ - height
230
+ - width
231
+ - channels
232
+ info:
233
+ video.height: 480
234
+ video.width: 640
235
+ video.codec: av1
236
+ video.pix_fmt: yuv420p
237
+ video.is_depth_map: false
238
+ video.fps: 30
239
+ video.channels: 3
240
+ has_audio: false
241
+ observation.images.cam_right_wrist_rgb:
242
+ dtype: video
243
+ shape:
244
+ - 480
245
+ - 640
246
+ - 3
247
+ names:
248
+ - height
249
+ - width
250
+ - channels
251
+ info:
252
+ video.height: 480
253
+ video.width: 640
254
+ video.codec: av1
255
+ video.pix_fmt: yuv420p
256
+ video.is_depth_map: false
257
+ video.fps: 30
258
+ video.channels: 3
259
+ has_audio: false
260
+ observation.state:
261
+ dtype: float32
262
+ shape:
263
+ - 26
264
+ names:
265
+ - left_arm_joint_1_rad
266
+ - left_arm_joint_2_rad
267
+ - left_arm_joint_3_rad
268
+ - left_arm_joint_4_rad
269
+ - left_arm_joint_5_rad
270
+ - left_arm_joint_6_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
+ - right_arm_joint_1_rad
279
+ - right_arm_joint_2_rad
280
+ - right_arm_joint_3_rad
281
+ - right_arm_joint_4_rad
282
+ - right_arm_joint_5_rad
283
+ - right_arm_joint_6_rad
284
+ - right_gripper_open
285
+ - right_eef_pos_x_m
286
+ - right_eef_pos_y_m
287
+ - right_eef_pos_z_m
288
+ - right_eef_rot_euler_x_rad
289
+ - right_eef_rot_euler_y_rad
290
+ - right_eef_rot_euler_z_rad
291
+ action:
292
+ dtype: float32
293
+ shape:
294
+ - 26
295
+ names:
296
+ - left_arm_joint_1_rad
297
+ - left_arm_joint_2_rad
298
+ - left_arm_joint_3_rad
299
+ - left_arm_joint_4_rad
300
+ - left_arm_joint_5_rad
301
+ - left_arm_joint_6_rad
302
+ - left_gripper_open
303
+ - left_eef_pos_x_m
304
+ - left_eef_pos_y_m
305
+ - left_eef_pos_z_m
306
+ - left_eef_rot_euler_x_rad
307
+ - left_eef_rot_euler_y_rad
308
+ - left_eef_rot_euler_z_rad
309
+ - right_arm_joint_1_rad
310
+ - right_arm_joint_2_rad
311
+ - right_arm_joint_3_rad
312
+ - right_arm_joint_4_rad
313
+ - right_arm_joint_5_rad
314
+ - right_arm_joint_6_rad
315
+ - right_gripper_open
316
+ - right_eef_pos_x_m
317
+ - right_eef_pos_y_m
318
+ - right_eef_pos_z_m
319
+ - right_eef_rot_euler_x_rad
320
+ - right_eef_rot_euler_y_rad
321
+ - right_eef_rot_euler_z_rad
322
+ timestamp:
323
+ dtype: float32
324
+ shape:
325
+ - 1
326
+ names: null
327
+ frame_index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ episode_index:
333
+ dtype: int64
334
+ shape:
335
+ - 1
336
+ names: null
337
+ index:
338
+ dtype: int64
339
+ shape:
340
+ - 1
341
+ names: null
342
+ task_index:
343
+ dtype: int64
344
+ shape:
345
+ - 1
346
+ names: null
347
+ subtask_annotation:
348
+ names: null
349
+ dtype: int32
350
+ shape:
351
+ - 5
352
+ scene_annotation:
353
+ names: null
354
+ dtype: int32
355
+ shape:
356
+ - 1
357
+ eef_sim_pose_state:
358
+ names:
359
+ - left_eef_pos_x
360
+ - left_eef_pos_y
361
+ - left_eef_pos_z
362
+ - left_eef_rot_x
363
+ - left_eef_rot_y
364
+ - left_eef_rot_z
365
+ - right_eef_pos_x
366
+ - right_eef_pos_y
367
+ - right_eef_pos_z
368
+ - right_eef_rot_x
369
+ - right_eef_rot_y
370
+ - right_eef_rot_z
371
+ dtype: float32
372
+ shape:
373
+ - 12
374
+ eef_sim_pose_action:
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_direction_state:
392
+ names:
393
+ - left_eef_direction
394
+ - right_eef_direction
395
+ dtype: int32
396
+ shape:
397
+ - 2
398
+ eef_direction_action:
399
+ names:
400
+ - left_eef_direction
401
+ - right_eef_direction
402
+ dtype: int32
403
+ shape:
404
+ - 2
405
+ eef_velocity_state:
406
+ names:
407
+ - left_eef_velocity
408
+ - right_eef_velocity
409
+ dtype: int32
410
+ shape:
411
+ - 2
412
+ eef_velocity_action:
413
+ names:
414
+ - left_eef_velocity
415
+ - right_eef_velocity
416
+ dtype: int32
417
+ shape:
418
+ - 2
419
+ eef_acc_mag_state:
420
+ names:
421
+ - left_eef_acc_mag
422
+ - right_eef_acc_mag
423
+ dtype: int32
424
+ shape:
425
+ - 2
426
+ eef_acc_mag_action:
427
+ names:
428
+ - left_eef_acc_mag
429
+ - right_eef_acc_mag
430
+ dtype: int32
431
+ shape:
432
+ - 2
433
+ gripper_mode_state:
434
+ names:
435
+ - left_gripper_mode
436
+ - right_gripper_mode
437
+ dtype: int32
438
+ shape:
439
+ - 2
440
+ gripper_mode_action:
441
+ names:
442
+ - left_gripper_mode
443
+ - right_gripper_mode
444
+ dtype: int32
445
+ shape:
446
+ - 2
447
+ gripper_activity_state:
448
+ names:
449
+ - left_gripper_activity
450
+ - right_gripper_activity
451
+ dtype: int32
452
+ shape:
453
+ - 2
454
+ gripper_activity_action:
455
+ names:
456
+ - left_gripper_activity
457
+ - right_gripper_activity
458
+ dtype: int32
459
+ shape:
460
+ - 2
461
+ gripper_open_scale_state:
462
+ names:
463
+ - left_gripper_open_scale
464
+ - right_gripper_open_scale
465
+ dtype: float32
466
+ shape:
467
+ - 2
468
+ gripper_open_scale_action:
469
+ names:
470
+ - left_gripper_open_scale
471
+ - right_gripper_open_scale
472
+ dtype: float32
473
+ shape:
474
+ - 2
475
+ authors:
476
+ contributed_by:
477
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
478
+ dataset_description: This dataset uses an extended format based on LeRobot and is
479
+ fully compatible with LeRobot.
480
+ homepage: https://flagopen.github.io/RoboCOIN/
481
+ paper: https://arxiv.org/abs/2511.17441
482
+ repository: https://github.com/FlagOpen/RoboCOIN
483
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
484
+ us.
485
+ support_info: For technical support, please open an issue on our GitHub repository.
486
+ license_details: apache-2.0
487
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
488
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
489
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
490
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
491
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
492
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
493
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
494
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
495
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
496
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
497
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
498
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
499
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
500
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
501
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
502
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
503
+ additional_citations: 'If you use this dataset, please also consider citing:
504
+
505
+ LeRobot Framework: https://github.com/huggingface/lerobot
506
+
507
+ '
508
+ version_info: Initial Release
509
+ data_path: data/chunk-{id}/episode_{id}.parquet
510
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
511
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_close_drawer.yaml ADDED
@@ -0,0 +1,418 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_close_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: layer_transparent_drawer
35
+ level1: storage_utensils
36
+ level2: layer_transparent_drawer
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
+ - close the top drawer by hand.
44
+ sub_tasks:
45
+ - subtask: End
46
+ subtask_index: 0
47
+ - subtask: Close the top drawer with the right hand
48
+ subtask_index: 1
49
+ - subtask: 'null'
50
+ subtask_index: 2
51
+ atomic_actions:
52
+ - push
53
+ robot_name:
54
+ - Airbot_MMK2
55
+ end_effector_type: five_finger_gripper
56
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
57
+ type information.
58
+ sensor_list:
59
+ - cam_head_rgb
60
+ - cam_left_wrist_rgb
61
+ - cam_right_wrist_rgb
62
+ - cam_front_rgb
63
+ came_info:
64
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
65
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
66
+ pix_fmt=yuv420p
67
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
68
+ pix_fmt=yuv420p
69
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
70
+ depth_enabled: false
71
+ coordinate_definition: right-hand-frame
72
+ joint_rotation_dim: radian
73
+ end_rotation_dim: end_rotation_dim
74
+ end_translation_dim: end_translation_dim
75
+ annotations:
76
+ - eef_acc_mag_annotation.jsonl
77
+ - eef_direction_annotation.jsonl
78
+ - eef_velocity_annotation.jsonl
79
+ - gripper_activity_annotation.jsonl
80
+ - gripper_mode_annotation.jsonl
81
+ - scene_annotations.jsonl
82
+ - subtask_annotations.jsonl
83
+ statistics:
84
+ total_episodes: 50
85
+ total_frames: 7377
86
+ fps: 30
87
+ total_tasks: 3
88
+ total_videos: 200
89
+ total_chunks: 1
90
+ chunks_size: 1000
91
+ state_dim: 36
92
+ action_dim: 36
93
+ camera_views: 4
94
+ dataset_size: 217.36 MB
95
+ frame_num: 7377
96
+ dataset_size: 217.36 MB
97
+ data_structure: "Airbot_MMK2_close_drawer_qced_hardlink/\n|-- annotations\n| |--\
98
+ \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\
99
+ \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \
100
+ \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\
101
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
102
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
103
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
104
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
105
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
106
+ | `-- ... (38 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
107
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
108
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
109
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
110
+ splits:
111
+ train: 0:49
112
+ features:
113
+ observation.images.cam_head_rgb:
114
+ dtype: video
115
+ shape:
116
+ - 480
117
+ - 640
118
+ - 3
119
+ names:
120
+ - height
121
+ - width
122
+ - channels
123
+ info:
124
+ video.height: 480
125
+ video.width: 640
126
+ video.codec: av1
127
+ video.pix_fmt: yuv420p
128
+ video.is_depth_map: false
129
+ video.fps: 30
130
+ video.channels: 3
131
+ has_audio: false
132
+ observation.images.cam_left_wrist_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_right_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_front_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.state:
190
+ dtype: float32
191
+ shape:
192
+ - 36
193
+ names:
194
+ - left_arm_joint_1_rad
195
+ - left_arm_joint_2_rad
196
+ - left_arm_joint_3_rad
197
+ - left_arm_joint_4_rad
198
+ - left_arm_joint_5_rad
199
+ - left_arm_joint_6_rad
200
+ - right_arm_joint_1_rad
201
+ - right_arm_joint_2_rad
202
+ - right_arm_joint_3_rad
203
+ - right_arm_joint_4_rad
204
+ - right_arm_joint_5_rad
205
+ - right_arm_joint_6_rad
206
+ - left_hand_joint_1_rad
207
+ - left_hand_joint_2_rad
208
+ - left_hand_joint_3_rad
209
+ - left_hand_joint_4_rad
210
+ - left_hand_joint_5_rad
211
+ - left_hand_joint_6_rad
212
+ - left_hand_joint_7_rad
213
+ - left_hand_joint_8_rad
214
+ - left_hand_joint_9_rad
215
+ - left_hand_joint_10_rad
216
+ - left_hand_joint_11_rad
217
+ - left_hand_joint_12_rad
218
+ - right_hand_joint_1_rad
219
+ - right_hand_joint_2_rad
220
+ - right_hand_joint_3_rad
221
+ - right_hand_joint_4_rad
222
+ - right_hand_joint_5_rad
223
+ - right_hand_joint_6_rad
224
+ - right_hand_joint_7_rad
225
+ - right_hand_joint_8_rad
226
+ - right_hand_joint_9_rad
227
+ - right_hand_joint_10_rad
228
+ - right_hand_joint_11_rad
229
+ - right_hand_joint_12_rad
230
+ action:
231
+ dtype: float32
232
+ shape:
233
+ - 36
234
+ names:
235
+ - left_arm_joint_1_rad
236
+ - left_arm_joint_2_rad
237
+ - left_arm_joint_3_rad
238
+ - left_arm_joint_4_rad
239
+ - left_arm_joint_5_rad
240
+ - left_arm_joint_6_rad
241
+ - right_arm_joint_1_rad
242
+ - right_arm_joint_2_rad
243
+ - right_arm_joint_3_rad
244
+ - right_arm_joint_4_rad
245
+ - right_arm_joint_5_rad
246
+ - right_arm_joint_6_rad
247
+ - left_hand_joint_1_rad
248
+ - left_hand_joint_2_rad
249
+ - left_hand_joint_3_rad
250
+ - left_hand_joint_4_rad
251
+ - left_hand_joint_5_rad
252
+ - left_hand_joint_6_rad
253
+ - left_hand_joint_7_rad
254
+ - left_hand_joint_8_rad
255
+ - left_hand_joint_9_rad
256
+ - left_hand_joint_10_rad
257
+ - left_hand_joint_11_rad
258
+ - left_hand_joint_12_rad
259
+ - right_hand_joint_1_rad
260
+ - right_hand_joint_2_rad
261
+ - right_hand_joint_3_rad
262
+ - right_hand_joint_4_rad
263
+ - right_hand_joint_5_rad
264
+ - right_hand_joint_6_rad
265
+ - right_hand_joint_7_rad
266
+ - right_hand_joint_8_rad
267
+ - right_hand_joint_9_rad
268
+ - right_hand_joint_10_rad
269
+ - right_hand_joint_11_rad
270
+ - right_hand_joint_12_rad
271
+ timestamp:
272
+ dtype: float32
273
+ shape:
274
+ - 1
275
+ names: null
276
+ frame_index:
277
+ dtype: int64
278
+ shape:
279
+ - 1
280
+ names: null
281
+ episode_index:
282
+ dtype: int64
283
+ shape:
284
+ - 1
285
+ names: null
286
+ index:
287
+ dtype: int64
288
+ shape:
289
+ - 1
290
+ names: null
291
+ task_index:
292
+ dtype: int64
293
+ shape:
294
+ - 1
295
+ names: null
296
+ subtask_annotation:
297
+ names: null
298
+ shape:
299
+ - 5
300
+ dtype: int32
301
+ scene_annotation:
302
+ names: null
303
+ shape:
304
+ - 1
305
+ dtype: int32
306
+ eef_sim_pose_state:
307
+ names:
308
+ - left_eef_pos_x
309
+ - left_eef_pos_y
310
+ - left_eef_pos_z
311
+ - left_eef_rot_x
312
+ - left_eef_rot_y
313
+ - left_eef_rot_z
314
+ - right_eef_pos_x
315
+ - right_eef_pos_y
316
+ - right_eef_pos_z
317
+ - right_eef_rot_x
318
+ - right_eef_rot_y
319
+ - right_eef_rot_z
320
+ shape:
321
+ - 12
322
+ dtype: float32
323
+ eef_sim_pose_action:
324
+ names:
325
+ - left_eef_pos_x
326
+ - left_eef_pos_y
327
+ - left_eef_pos_z
328
+ - left_eef_rot_x
329
+ - left_eef_rot_y
330
+ - left_eef_rot_z
331
+ - right_eef_pos_x
332
+ - right_eef_pos_y
333
+ - right_eef_pos_z
334
+ - right_eef_rot_x
335
+ - right_eef_rot_y
336
+ - right_eef_rot_z
337
+ shape:
338
+ - 12
339
+ dtype: float32
340
+ eef_direction_state:
341
+ names:
342
+ - left_eef_direction
343
+ - right_eef_direction
344
+ shape:
345
+ - 2
346
+ dtype: int32
347
+ eef_direction_action:
348
+ names:
349
+ - left_eef_direction
350
+ - right_eef_direction
351
+ shape:
352
+ - 2
353
+ dtype: int32
354
+ eef_velocity_state:
355
+ names:
356
+ - left_eef_velocity
357
+ - right_eef_velocity
358
+ shape:
359
+ - 2
360
+ dtype: int32
361
+ eef_velocity_action:
362
+ names:
363
+ - left_eef_velocity
364
+ - right_eef_velocity
365
+ shape:
366
+ - 2
367
+ dtype: int32
368
+ eef_acc_mag_state:
369
+ names:
370
+ - left_eef_acc_mag
371
+ - right_eef_acc_mag
372
+ shape:
373
+ - 2
374
+ dtype: int32
375
+ eef_acc_mag_action:
376
+ names:
377
+ - left_eef_acc_mag
378
+ - right_eef_acc_mag
379
+ shape:
380
+ - 2
381
+ dtype: int32
382
+ authors:
383
+ contributed_by:
384
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
385
+ dataset_description: This dataset uses an extended format based on LeRobot and is
386
+ fully compatible with LeRobot.
387
+ homepage: https://flagopen.github.io/RoboCOIN/
388
+ paper: https://arxiv.org/abs/2511.17441
389
+ repository: https://github.com/FlagOpen/RoboCOIN
390
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
391
+ us.
392
+ support_info: For technical support, please open an issue on our GitHub repository.
393
+ license_details: apache-2.0
394
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
395
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
396
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
397
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
398
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
399
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
400
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
401
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
402
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
403
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
404
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
405
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
406
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
407
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
408
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
409
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
410
+ additional_citations: 'If you use this dataset, please also consider citing:
411
+
412
+ LeRobot Framework: https://github.com/huggingface/lerobot
413
+
414
+ '
415
+ version_info: Initial Release
416
+ data_path: data/chunk-{id}/episode_{id}.parquet
417
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
418
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_close_lid.yaml ADDED
@@ -0,0 +1,426 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_close_lid
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: study_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: any_storage_box
35
+ level1: storage utensils
36
+ level2: any_storage_box
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
+ - close the box lid by hand.
44
+ sub_tasks:
45
+ - subtask: Touch the box lid with the left gripper
46
+ subtask_index: 0
47
+ - subtask: Close the box lid with the left gripper
48
+ subtask_index: 1
49
+ - subtask: End
50
+ subtask_index: 2
51
+ - subtask: Touch the box lid with the right gripper
52
+ subtask_index: 3
53
+ - subtask: Abnormal
54
+ subtask_index: 4
55
+ - subtask: Close the box lid with the right gripper
56
+ subtask_index: 5
57
+ - subtask: 'null'
58
+ subtask_index: 6
59
+ atomic_actions:
60
+ - close
61
+ robot_name:
62
+ - Airbot_MMK2
63
+ end_effector_type: five_finger_gripper
64
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
65
+ type information.
66
+ sensor_list:
67
+ - cam_head_rgb
68
+ - cam_left_wrist_rgb
69
+ - cam_right_wrist_rgb
70
+ - cam_front_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
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
78
+ depth_enabled: false
79
+ coordinate_definition: right-hand-frame
80
+ joint_rotation_dim: radian
81
+ end_rotation_dim: end_rotation_dim
82
+ end_translation_dim: end_translation_dim
83
+ annotations:
84
+ - eef_acc_mag_annotation.jsonl
85
+ - eef_direction_annotation.jsonl
86
+ - eef_velocity_annotation.jsonl
87
+ - gripper_activity_annotation.jsonl
88
+ - gripper_mode_annotation.jsonl
89
+ - scene_annotations.jsonl
90
+ - subtask_annotations.jsonl
91
+ statistics:
92
+ total_episodes: 239
93
+ total_frames: 28930
94
+ fps: 30
95
+ total_tasks: 7
96
+ total_videos: 956
97
+ total_chunks: 1
98
+ chunks_size: 1000
99
+ state_dim: 36
100
+ action_dim: 36
101
+ camera_views: 4
102
+ dataset_size: 965.25 MB
103
+ frame_num: 28930
104
+ dataset_size: 965.25 MB
105
+ data_structure: "Airbot_MMK2_close_lid_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n\
106
+ | |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n\
107
+ | |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n\
108
+ | |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n|\
109
+ \ `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
110
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
111
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
112
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
113
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
114
+ | `-- ... (227 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
115
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
116
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
117
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
118
+ splits:
119
+ train: 0:238
120
+ features:
121
+ observation.images.cam_head_rgb:
122
+ dtype: video
123
+ shape:
124
+ - 480
125
+ - 640
126
+ - 3
127
+ names:
128
+ - height
129
+ - width
130
+ - channels
131
+ info:
132
+ video.height: 480
133
+ video.width: 640
134
+ video.codec: av1
135
+ video.pix_fmt: yuv420p
136
+ video.is_depth_map: false
137
+ video.fps: 30
138
+ video.channels: 3
139
+ has_audio: false
140
+ observation.images.cam_left_wrist_rgb:
141
+ dtype: video
142
+ shape:
143
+ - 480
144
+ - 640
145
+ - 3
146
+ names:
147
+ - height
148
+ - width
149
+ - channels
150
+ info:
151
+ video.height: 480
152
+ video.width: 640
153
+ video.codec: av1
154
+ video.pix_fmt: yuv420p
155
+ video.is_depth_map: false
156
+ video.fps: 30
157
+ video.channels: 3
158
+ has_audio: false
159
+ observation.images.cam_right_wrist_rgb:
160
+ dtype: video
161
+ shape:
162
+ - 480
163
+ - 640
164
+ - 3
165
+ names:
166
+ - height
167
+ - width
168
+ - channels
169
+ info:
170
+ video.height: 480
171
+ video.width: 640
172
+ video.codec: av1
173
+ video.pix_fmt: yuv420p
174
+ video.is_depth_map: false
175
+ video.fps: 30
176
+ video.channels: 3
177
+ has_audio: false
178
+ observation.images.cam_front_rgb:
179
+ dtype: video
180
+ shape:
181
+ - 480
182
+ - 640
183
+ - 3
184
+ names:
185
+ - height
186
+ - width
187
+ - channels
188
+ info:
189
+ video.height: 480
190
+ video.width: 640
191
+ video.codec: av1
192
+ video.pix_fmt: yuv420p
193
+ video.is_depth_map: false
194
+ video.fps: 30
195
+ video.channels: 3
196
+ has_audio: false
197
+ observation.state:
198
+ dtype: float32
199
+ shape:
200
+ - 36
201
+ names:
202
+ - left_arm_joint_1_rad
203
+ - left_arm_joint_2_rad
204
+ - left_arm_joint_3_rad
205
+ - left_arm_joint_4_rad
206
+ - left_arm_joint_5_rad
207
+ - left_arm_joint_6_rad
208
+ - right_arm_joint_1_rad
209
+ - right_arm_joint_2_rad
210
+ - right_arm_joint_3_rad
211
+ - right_arm_joint_4_rad
212
+ - right_arm_joint_5_rad
213
+ - right_arm_joint_6_rad
214
+ - left_hand_joint_1_rad
215
+ - left_hand_joint_2_rad
216
+ - left_hand_joint_3_rad
217
+ - left_hand_joint_4_rad
218
+ - left_hand_joint_5_rad
219
+ - left_hand_joint_6_rad
220
+ - left_hand_joint_7_rad
221
+ - left_hand_joint_8_rad
222
+ - left_hand_joint_9_rad
223
+ - left_hand_joint_10_rad
224
+ - left_hand_joint_11_rad
225
+ - left_hand_joint_12_rad
226
+ - right_hand_joint_1_rad
227
+ - right_hand_joint_2_rad
228
+ - right_hand_joint_3_rad
229
+ - right_hand_joint_4_rad
230
+ - right_hand_joint_5_rad
231
+ - right_hand_joint_6_rad
232
+ - right_hand_joint_7_rad
233
+ - right_hand_joint_8_rad
234
+ - right_hand_joint_9_rad
235
+ - right_hand_joint_10_rad
236
+ - right_hand_joint_11_rad
237
+ - right_hand_joint_12_rad
238
+ action:
239
+ dtype: float32
240
+ shape:
241
+ - 36
242
+ names:
243
+ - left_arm_joint_1_rad
244
+ - left_arm_joint_2_rad
245
+ - left_arm_joint_3_rad
246
+ - left_arm_joint_4_rad
247
+ - left_arm_joint_5_rad
248
+ - left_arm_joint_6_rad
249
+ - right_arm_joint_1_rad
250
+ - right_arm_joint_2_rad
251
+ - right_arm_joint_3_rad
252
+ - right_arm_joint_4_rad
253
+ - right_arm_joint_5_rad
254
+ - right_arm_joint_6_rad
255
+ - left_hand_joint_1_rad
256
+ - left_hand_joint_2_rad
257
+ - left_hand_joint_3_rad
258
+ - left_hand_joint_4_rad
259
+ - left_hand_joint_5_rad
260
+ - left_hand_joint_6_rad
261
+ - left_hand_joint_7_rad
262
+ - left_hand_joint_8_rad
263
+ - left_hand_joint_9_rad
264
+ - left_hand_joint_10_rad
265
+ - left_hand_joint_11_rad
266
+ - left_hand_joint_12_rad
267
+ - right_hand_joint_1_rad
268
+ - right_hand_joint_2_rad
269
+ - right_hand_joint_3_rad
270
+ - right_hand_joint_4_rad
271
+ - right_hand_joint_5_rad
272
+ - right_hand_joint_6_rad
273
+ - right_hand_joint_7_rad
274
+ - right_hand_joint_8_rad
275
+ - right_hand_joint_9_rad
276
+ - right_hand_joint_10_rad
277
+ - right_hand_joint_11_rad
278
+ - right_hand_joint_12_rad
279
+ timestamp:
280
+ dtype: float32
281
+ shape:
282
+ - 1
283
+ names: null
284
+ frame_index:
285
+ dtype: int64
286
+ shape:
287
+ - 1
288
+ names: null
289
+ episode_index:
290
+ dtype: int64
291
+ shape:
292
+ - 1
293
+ names: null
294
+ index:
295
+ dtype: int64
296
+ shape:
297
+ - 1
298
+ names: null
299
+ task_index:
300
+ dtype: int64
301
+ shape:
302
+ - 1
303
+ names: null
304
+ subtask_annotation:
305
+ names: null
306
+ shape:
307
+ - 5
308
+ dtype: int32
309
+ scene_annotation:
310
+ names: null
311
+ shape:
312
+ - 1
313
+ dtype: int32
314
+ eef_sim_pose_state:
315
+ names:
316
+ - left_eef_pos_x
317
+ - left_eef_pos_y
318
+ - left_eef_pos_z
319
+ - left_eef_rot_x
320
+ - left_eef_rot_y
321
+ - left_eef_rot_z
322
+ - right_eef_pos_x
323
+ - right_eef_pos_y
324
+ - right_eef_pos_z
325
+ - right_eef_rot_x
326
+ - right_eef_rot_y
327
+ - right_eef_rot_z
328
+ shape:
329
+ - 12
330
+ dtype: float32
331
+ eef_sim_pose_action:
332
+ names:
333
+ - left_eef_pos_x
334
+ - left_eef_pos_y
335
+ - left_eef_pos_z
336
+ - left_eef_rot_x
337
+ - left_eef_rot_y
338
+ - left_eef_rot_z
339
+ - right_eef_pos_x
340
+ - right_eef_pos_y
341
+ - right_eef_pos_z
342
+ - right_eef_rot_x
343
+ - right_eef_rot_y
344
+ - right_eef_rot_z
345
+ shape:
346
+ - 12
347
+ dtype: float32
348
+ eef_direction_state:
349
+ names:
350
+ - left_eef_direction
351
+ - right_eef_direction
352
+ shape:
353
+ - 2
354
+ dtype: int32
355
+ eef_direction_action:
356
+ names:
357
+ - left_eef_direction
358
+ - right_eef_direction
359
+ shape:
360
+ - 2
361
+ dtype: int32
362
+ eef_velocity_state:
363
+ names:
364
+ - left_eef_velocity
365
+ - right_eef_velocity
366
+ shape:
367
+ - 2
368
+ dtype: int32
369
+ eef_velocity_action:
370
+ names:
371
+ - left_eef_velocity
372
+ - right_eef_velocity
373
+ shape:
374
+ - 2
375
+ dtype: int32
376
+ eef_acc_mag_state:
377
+ names:
378
+ - left_eef_acc_mag
379
+ - right_eef_acc_mag
380
+ shape:
381
+ - 2
382
+ dtype: int32
383
+ eef_acc_mag_action:
384
+ names:
385
+ - left_eef_acc_mag
386
+ - right_eef_acc_mag
387
+ shape:
388
+ - 2
389
+ dtype: int32
390
+ authors:
391
+ contributed_by:
392
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
393
+ dataset_description: This dataset uses an extended format based on LeRobot and is
394
+ fully compatible with LeRobot.
395
+ homepage: https://flagopen.github.io/RoboCOIN/
396
+ paper: https://arxiv.org/abs/2511.17441
397
+ repository: https://github.com/FlagOpen/RoboCOIN
398
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
399
+ us.
400
+ support_info: For technical support, please open an issue on our GitHub repository.
401
+ license_details: apache-2.0
402
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
403
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
404
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
405
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
406
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
407
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
408
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
409
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
410
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
411
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
412
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
413
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
414
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
415
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
416
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
417
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
418
+ additional_citations: 'If you use this dataset, please also consider citing:
419
+
420
+ LeRobot Framework: https://github.com/huggingface/lerobot
421
+
422
+ '
423
+ version_info: Initial Release
424
+ data_path: data/chunk-{id}/episode_{id}.parquet
425
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
426
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_dial_number.yaml ADDED
@@ -0,0 +1,427 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_dial_number
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: mobile_phone
35
+ level1: appliances
36
+ level2: mobile_phone
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 phone button and then put it down.
44
+ sub_tasks:
45
+ - subtask: Dial the number with the left gripper
46
+ subtask_index: 0
47
+ - subtask: End
48
+ subtask_index: 1
49
+ - subtask: Lift the phone with the right gripper
50
+ subtask_index: 2
51
+ - subtask: Grasp the phone with the right gripper
52
+ subtask_index: 3
53
+ - subtask: Place the phone on the table with the right gripper
54
+ subtask_index: 4
55
+ - subtask: 'null'
56
+ subtask_index: 5
57
+ atomic_actions:
58
+ - grasp
59
+ - pick
60
+ - place
61
+ - press
62
+ robot_name:
63
+ - Airbot_MMK2
64
+ end_effector_type: five_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
+ - cam_front_rgb
72
+ came_info:
73
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
74
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
75
+ pix_fmt=yuv420p
76
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
77
+ pix_fmt=yuv420p
78
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ depth_enabled: false
80
+ coordinate_definition: right-hand-frame
81
+ joint_rotation_dim: radian
82
+ end_rotation_dim: end_rotation_dim
83
+ end_translation_dim: end_translation_dim
84
+ annotations:
85
+ - eef_acc_mag_annotation.jsonl
86
+ - eef_direction_annotation.jsonl
87
+ - eef_velocity_annotation.jsonl
88
+ - gripper_activity_annotation.jsonl
89
+ - gripper_mode_annotation.jsonl
90
+ - scene_annotations.jsonl
91
+ - subtask_annotations.jsonl
92
+ statistics:
93
+ total_episodes: 98
94
+ total_frames: 41296
95
+ fps: 30
96
+ total_tasks: 6
97
+ total_videos: 392
98
+ total_chunks: 1
99
+ chunks_size: 1000
100
+ state_dim: 36
101
+ action_dim: 36
102
+ camera_views: 4
103
+ dataset_size: 1.39 GB
104
+ frame_num: 41296
105
+ dataset_size: 1.39 GB
106
+ data_structure: "Airbot_MMK2_dial_number_qced_hardlink/\n|-- annotations\n| |--\
107
+ \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\
108
+ \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \
109
+ \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\
110
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
111
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
112
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
113
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
114
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
115
+ | `-- ... (86 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
116
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
117
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
118
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
119
+ splits:
120
+ train: 0:97
121
+ features:
122
+ observation.images.cam_head_rgb:
123
+ dtype: video
124
+ shape:
125
+ - 480
126
+ - 640
127
+ - 3
128
+ names:
129
+ - height
130
+ - width
131
+ - channels
132
+ info:
133
+ video.height: 480
134
+ video.width: 640
135
+ video.codec: av1
136
+ video.pix_fmt: yuv420p
137
+ video.is_depth_map: false
138
+ video.fps: 30
139
+ video.channels: 3
140
+ has_audio: false
141
+ observation.images.cam_left_wrist_rgb:
142
+ dtype: video
143
+ shape:
144
+ - 480
145
+ - 640
146
+ - 3
147
+ names:
148
+ - height
149
+ - width
150
+ - channels
151
+ info:
152
+ video.height: 480
153
+ video.width: 640
154
+ video.codec: av1
155
+ video.pix_fmt: yuv420p
156
+ video.is_depth_map: false
157
+ video.fps: 30
158
+ video.channels: 3
159
+ has_audio: false
160
+ observation.images.cam_right_wrist_rgb:
161
+ dtype: video
162
+ shape:
163
+ - 480
164
+ - 640
165
+ - 3
166
+ names:
167
+ - height
168
+ - width
169
+ - channels
170
+ info:
171
+ video.height: 480
172
+ video.width: 640
173
+ video.codec: av1
174
+ video.pix_fmt: yuv420p
175
+ video.is_depth_map: false
176
+ video.fps: 30
177
+ video.channels: 3
178
+ has_audio: false
179
+ observation.images.cam_front_rgb:
180
+ dtype: video
181
+ shape:
182
+ - 480
183
+ - 640
184
+ - 3
185
+ names:
186
+ - height
187
+ - width
188
+ - channels
189
+ info:
190
+ video.height: 480
191
+ video.width: 640
192
+ video.codec: av1
193
+ video.pix_fmt: yuv420p
194
+ video.is_depth_map: false
195
+ video.fps: 30
196
+ video.channels: 3
197
+ has_audio: false
198
+ observation.state:
199
+ dtype: float32
200
+ shape:
201
+ - 36
202
+ names:
203
+ - left_arm_joint_1_rad
204
+ - left_arm_joint_2_rad
205
+ - left_arm_joint_3_rad
206
+ - left_arm_joint_4_rad
207
+ - left_arm_joint_5_rad
208
+ - left_arm_joint_6_rad
209
+ - right_arm_joint_1_rad
210
+ - right_arm_joint_2_rad
211
+ - right_arm_joint_3_rad
212
+ - right_arm_joint_4_rad
213
+ - right_arm_joint_5_rad
214
+ - right_arm_joint_6_rad
215
+ - left_hand_joint_1_rad
216
+ - left_hand_joint_2_rad
217
+ - left_hand_joint_3_rad
218
+ - left_hand_joint_4_rad
219
+ - left_hand_joint_5_rad
220
+ - left_hand_joint_6_rad
221
+ - left_hand_joint_7_rad
222
+ - left_hand_joint_8_rad
223
+ - left_hand_joint_9_rad
224
+ - left_hand_joint_10_rad
225
+ - left_hand_joint_11_rad
226
+ - left_hand_joint_12_rad
227
+ - right_hand_joint_1_rad
228
+ - right_hand_joint_2_rad
229
+ - right_hand_joint_3_rad
230
+ - right_hand_joint_4_rad
231
+ - right_hand_joint_5_rad
232
+ - right_hand_joint_6_rad
233
+ - right_hand_joint_7_rad
234
+ - right_hand_joint_8_rad
235
+ - right_hand_joint_9_rad
236
+ - right_hand_joint_10_rad
237
+ - right_hand_joint_11_rad
238
+ - right_hand_joint_12_rad
239
+ action:
240
+ dtype: float32
241
+ shape:
242
+ - 36
243
+ names:
244
+ - left_arm_joint_1_rad
245
+ - left_arm_joint_2_rad
246
+ - left_arm_joint_3_rad
247
+ - left_arm_joint_4_rad
248
+ - left_arm_joint_5_rad
249
+ - left_arm_joint_6_rad
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
+ - left_hand_joint_1_rad
257
+ - left_hand_joint_2_rad
258
+ - left_hand_joint_3_rad
259
+ - left_hand_joint_4_rad
260
+ - left_hand_joint_5_rad
261
+ - left_hand_joint_6_rad
262
+ - left_hand_joint_7_rad
263
+ - left_hand_joint_8_rad
264
+ - left_hand_joint_9_rad
265
+ - left_hand_joint_10_rad
266
+ - left_hand_joint_11_rad
267
+ - left_hand_joint_12_rad
268
+ - right_hand_joint_1_rad
269
+ - right_hand_joint_2_rad
270
+ - right_hand_joint_3_rad
271
+ - right_hand_joint_4_rad
272
+ - right_hand_joint_5_rad
273
+ - right_hand_joint_6_rad
274
+ - right_hand_joint_7_rad
275
+ - right_hand_joint_8_rad
276
+ - right_hand_joint_9_rad
277
+ - right_hand_joint_10_rad
278
+ - right_hand_joint_11_rad
279
+ - right_hand_joint_12_rad
280
+ timestamp:
281
+ dtype: float32
282
+ shape:
283
+ - 1
284
+ names: null
285
+ frame_index:
286
+ dtype: int64
287
+ shape:
288
+ - 1
289
+ names: null
290
+ episode_index:
291
+ dtype: int64
292
+ shape:
293
+ - 1
294
+ names: null
295
+ index:
296
+ dtype: int64
297
+ shape:
298
+ - 1
299
+ names: null
300
+ task_index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ subtask_annotation:
306
+ names: null
307
+ shape:
308
+ - 5
309
+ dtype: int32
310
+ scene_annotation:
311
+ names: null
312
+ shape:
313
+ - 1
314
+ dtype: int32
315
+ eef_sim_pose_state:
316
+ names:
317
+ - left_eef_pos_x
318
+ - left_eef_pos_y
319
+ - left_eef_pos_z
320
+ - left_eef_rot_x
321
+ - left_eef_rot_y
322
+ - left_eef_rot_z
323
+ - right_eef_pos_x
324
+ - right_eef_pos_y
325
+ - right_eef_pos_z
326
+ - right_eef_rot_x
327
+ - right_eef_rot_y
328
+ - right_eef_rot_z
329
+ shape:
330
+ - 12
331
+ dtype: float32
332
+ eef_sim_pose_action:
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_direction_state:
350
+ names:
351
+ - left_eef_direction
352
+ - right_eef_direction
353
+ shape:
354
+ - 2
355
+ dtype: int32
356
+ eef_direction_action:
357
+ names:
358
+ - left_eef_direction
359
+ - right_eef_direction
360
+ shape:
361
+ - 2
362
+ dtype: int32
363
+ eef_velocity_state:
364
+ names:
365
+ - left_eef_velocity
366
+ - right_eef_velocity
367
+ shape:
368
+ - 2
369
+ dtype: int32
370
+ eef_velocity_action:
371
+ names:
372
+ - left_eef_velocity
373
+ - right_eef_velocity
374
+ shape:
375
+ - 2
376
+ dtype: int32
377
+ eef_acc_mag_state:
378
+ names:
379
+ - left_eef_acc_mag
380
+ - right_eef_acc_mag
381
+ shape:
382
+ - 2
383
+ dtype: int32
384
+ eef_acc_mag_action:
385
+ names:
386
+ - left_eef_acc_mag
387
+ - right_eef_acc_mag
388
+ shape:
389
+ - 2
390
+ dtype: int32
391
+ authors:
392
+ contributed_by:
393
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
394
+ dataset_description: This dataset uses an extended format based on LeRobot and is
395
+ fully compatible with LeRobot.
396
+ homepage: https://flagopen.github.io/RoboCOIN/
397
+ paper: https://arxiv.org/abs/2511.17441
398
+ repository: https://github.com/FlagOpen/RoboCOIN
399
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
400
+ us.
401
+ support_info: For technical support, please open an issue on our GitHub repository.
402
+ license_details: apache-2.0
403
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
404
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
405
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
406
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
407
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
408
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
409
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
410
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
411
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
412
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
413
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
414
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
415
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
416
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
417
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
418
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
419
+ additional_citations: 'If you use this dataset, please also consider citing:
420
+
421
+ LeRobot Framework: https://github.com/huggingface/lerobot
422
+
423
+ '
424
+ version_info: Initial Release
425
+ data_path: data/chunk-{id}/episode_{id}.parquet
426
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
427
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_move_apple_orange_pomegranate.yaml ADDED
@@ -0,0 +1,445 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_apple_orange_pomegranate
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: apple
35
+ level1: fruits
36
+ level2: apple
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: pomegranate
41
+ level1: fruits
42
+ level2: pomegranate
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: orange
47
+ level1: fruits
48
+ level2: orange
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
+ - arrange apples, oranges, and pomegranates neatly.
56
+ sub_tasks:
57
+ - subtask: place the orange on the right side of the table with the right gripper
58
+ subtask_index: 0
59
+ - subtask: Grasp the orange with the right gripper
60
+ subtask_index: 1
61
+ - subtask: place the pomegranate on the middle side of the table with the right gripper
62
+ subtask_index: 2
63
+ - subtask: End
64
+ subtask_index: 3
65
+ - subtask: place the apple on the left side of the table with the left gripper
66
+ subtask_index: 4
67
+ - subtask: Grasp the apple with the left gripper
68
+ subtask_index: 5
69
+ - subtask: Abnormal
70
+ subtask_index: 6
71
+ - subtask: Grasp the pomegranate with the right gripper
72
+ subtask_index: 7
73
+ - subtask: 'null'
74
+ subtask_index: 8
75
+ atomic_actions:
76
+ - grasp
77
+ - pick
78
+ - place
79
+ robot_name:
80
+ - Airbot_MMK2
81
+ end_effector_type: five_finger_gripper
82
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
83
+ type information.
84
+ sensor_list:
85
+ - cam_head_rgb
86
+ - cam_left_wrist_rgb
87
+ - cam_right_wrist_rgb
88
+ - cam_front_rgb
89
+ came_info:
90
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
91
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
92
+ pix_fmt=yuv420p
93
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
94
+ pix_fmt=yuv420p
95
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
96
+ depth_enabled: false
97
+ coordinate_definition: right-hand-frame
98
+ joint_rotation_dim: radian
99
+ end_rotation_dim: end_rotation_dim
100
+ end_translation_dim: end_translation_dim
101
+ annotations:
102
+ - eef_acc_mag_annotation.jsonl
103
+ - eef_direction_annotation.jsonl
104
+ - eef_velocity_annotation.jsonl
105
+ - gripper_activity_annotation.jsonl
106
+ - gripper_mode_annotation.jsonl
107
+ - scene_annotations.jsonl
108
+ - subtask_annotations.jsonl
109
+ statistics:
110
+ total_episodes: 59
111
+ total_frames: 30023
112
+ fps: 30
113
+ total_tasks: 9
114
+ total_videos: 236
115
+ total_chunks: 1
116
+ chunks_size: 1000
117
+ state_dim: 36
118
+ action_dim: 36
119
+ camera_views: 4
120
+ dataset_size: 1.09 GB
121
+ frame_num: 30023
122
+ dataset_size: 1.09 GB
123
+ data_structure: "Airbot_MMK2_move_apple_orange_pomegranate_qced_hardlink/\n|-- annotations\n\
124
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
125
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
126
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
127
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
128
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
129
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
130
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
131
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
132
+ | `-- episode_000011.parquet\n| `-- ... (47 more entries)\n|-- meta\n\
133
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
134
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
135
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
136
+ \ `-- observation.images.cam_right_wrist_rgb"
137
+ splits:
138
+ train: 0:58
139
+ features:
140
+ observation.images.cam_head_rgb:
141
+ dtype: video
142
+ shape:
143
+ - 480
144
+ - 640
145
+ - 3
146
+ names:
147
+ - height
148
+ - width
149
+ - channels
150
+ info:
151
+ video.height: 480
152
+ video.width: 640
153
+ video.codec: av1
154
+ video.pix_fmt: yuv420p
155
+ video.is_depth_map: false
156
+ video.fps: 30
157
+ video.channels: 3
158
+ has_audio: false
159
+ observation.images.cam_left_wrist_rgb:
160
+ dtype: video
161
+ shape:
162
+ - 480
163
+ - 640
164
+ - 3
165
+ names:
166
+ - height
167
+ - width
168
+ - channels
169
+ info:
170
+ video.height: 480
171
+ video.width: 640
172
+ video.codec: av1
173
+ video.pix_fmt: yuv420p
174
+ video.is_depth_map: false
175
+ video.fps: 30
176
+ video.channels: 3
177
+ has_audio: false
178
+ observation.images.cam_right_wrist_rgb:
179
+ dtype: video
180
+ shape:
181
+ - 480
182
+ - 640
183
+ - 3
184
+ names:
185
+ - height
186
+ - width
187
+ - channels
188
+ info:
189
+ video.height: 480
190
+ video.width: 640
191
+ video.codec: av1
192
+ video.pix_fmt: yuv420p
193
+ video.is_depth_map: false
194
+ video.fps: 30
195
+ video.channels: 3
196
+ has_audio: false
197
+ observation.images.cam_front_rgb:
198
+ dtype: video
199
+ shape:
200
+ - 480
201
+ - 640
202
+ - 3
203
+ names:
204
+ - height
205
+ - width
206
+ - channels
207
+ info:
208
+ video.height: 480
209
+ video.width: 640
210
+ video.codec: av1
211
+ video.pix_fmt: yuv420p
212
+ video.is_depth_map: false
213
+ video.fps: 30
214
+ video.channels: 3
215
+ has_audio: false
216
+ observation.state:
217
+ dtype: float32
218
+ shape:
219
+ - 36
220
+ names:
221
+ - left_arm_joint_1_rad
222
+ - left_arm_joint_2_rad
223
+ - left_arm_joint_3_rad
224
+ - left_arm_joint_4_rad
225
+ - left_arm_joint_5_rad
226
+ - left_arm_joint_6_rad
227
+ - right_arm_joint_1_rad
228
+ - right_arm_joint_2_rad
229
+ - right_arm_joint_3_rad
230
+ - right_arm_joint_4_rad
231
+ - right_arm_joint_5_rad
232
+ - right_arm_joint_6_rad
233
+ - left_hand_joint_1_rad
234
+ - left_hand_joint_2_rad
235
+ - left_hand_joint_3_rad
236
+ - left_hand_joint_4_rad
237
+ - left_hand_joint_5_rad
238
+ - left_hand_joint_6_rad
239
+ - left_hand_joint_7_rad
240
+ - left_hand_joint_8_rad
241
+ - left_hand_joint_9_rad
242
+ - left_hand_joint_10_rad
243
+ - left_hand_joint_11_rad
244
+ - left_hand_joint_12_rad
245
+ - right_hand_joint_1_rad
246
+ - right_hand_joint_2_rad
247
+ - right_hand_joint_3_rad
248
+ - right_hand_joint_4_rad
249
+ - right_hand_joint_5_rad
250
+ - right_hand_joint_6_rad
251
+ - right_hand_joint_7_rad
252
+ - right_hand_joint_8_rad
253
+ - right_hand_joint_9_rad
254
+ - right_hand_joint_10_rad
255
+ - right_hand_joint_11_rad
256
+ - right_hand_joint_12_rad
257
+ action:
258
+ dtype: float32
259
+ shape:
260
+ - 36
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
+ - right_arm_joint_1_rad
269
+ - right_arm_joint_2_rad
270
+ - right_arm_joint_3_rad
271
+ - right_arm_joint_4_rad
272
+ - right_arm_joint_5_rad
273
+ - right_arm_joint_6_rad
274
+ - left_hand_joint_1_rad
275
+ - left_hand_joint_2_rad
276
+ - left_hand_joint_3_rad
277
+ - left_hand_joint_4_rad
278
+ - left_hand_joint_5_rad
279
+ - left_hand_joint_6_rad
280
+ - left_hand_joint_7_rad
281
+ - left_hand_joint_8_rad
282
+ - left_hand_joint_9_rad
283
+ - left_hand_joint_10_rad
284
+ - left_hand_joint_11_rad
285
+ - left_hand_joint_12_rad
286
+ - right_hand_joint_1_rad
287
+ - right_hand_joint_2_rad
288
+ - right_hand_joint_3_rad
289
+ - right_hand_joint_4_rad
290
+ - right_hand_joint_5_rad
291
+ - right_hand_joint_6_rad
292
+ - right_hand_joint_7_rad
293
+ - right_hand_joint_8_rad
294
+ - right_hand_joint_9_rad
295
+ - right_hand_joint_10_rad
296
+ - right_hand_joint_11_rad
297
+ - right_hand_joint_12_rad
298
+ timestamp:
299
+ dtype: float32
300
+ shape:
301
+ - 1
302
+ names: null
303
+ frame_index:
304
+ dtype: int64
305
+ shape:
306
+ - 1
307
+ names: null
308
+ episode_index:
309
+ dtype: int64
310
+ shape:
311
+ - 1
312
+ names: null
313
+ index:
314
+ dtype: int64
315
+ shape:
316
+ - 1
317
+ names: null
318
+ task_index:
319
+ dtype: int64
320
+ shape:
321
+ - 1
322
+ names: null
323
+ subtask_annotation:
324
+ names: null
325
+ shape:
326
+ - 5
327
+ dtype: int32
328
+ scene_annotation:
329
+ names: null
330
+ shape:
331
+ - 1
332
+ dtype: int32
333
+ eef_sim_pose_state:
334
+ names:
335
+ - left_eef_pos_x
336
+ - left_eef_pos_y
337
+ - left_eef_pos_z
338
+ - left_eef_rot_x
339
+ - left_eef_rot_y
340
+ - left_eef_rot_z
341
+ - right_eef_pos_x
342
+ - right_eef_pos_y
343
+ - right_eef_pos_z
344
+ - right_eef_rot_x
345
+ - right_eef_rot_y
346
+ - right_eef_rot_z
347
+ shape:
348
+ - 12
349
+ dtype: float32
350
+ eef_sim_pose_action:
351
+ names:
352
+ - left_eef_pos_x
353
+ - left_eef_pos_y
354
+ - left_eef_pos_z
355
+ - left_eef_rot_x
356
+ - left_eef_rot_y
357
+ - left_eef_rot_z
358
+ - right_eef_pos_x
359
+ - right_eef_pos_y
360
+ - right_eef_pos_z
361
+ - right_eef_rot_x
362
+ - right_eef_rot_y
363
+ - right_eef_rot_z
364
+ shape:
365
+ - 12
366
+ dtype: float32
367
+ eef_direction_state:
368
+ names:
369
+ - left_eef_direction
370
+ - right_eef_direction
371
+ shape:
372
+ - 2
373
+ dtype: int32
374
+ eef_direction_action:
375
+ names:
376
+ - left_eef_direction
377
+ - right_eef_direction
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_velocity_state:
382
+ names:
383
+ - left_eef_velocity
384
+ - right_eef_velocity
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ eef_velocity_action:
389
+ names:
390
+ - left_eef_velocity
391
+ - right_eef_velocity
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_acc_mag_state:
396
+ names:
397
+ - left_eef_acc_mag
398
+ - right_eef_acc_mag
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ eef_acc_mag_action:
403
+ names:
404
+ - left_eef_acc_mag
405
+ - right_eef_acc_mag
406
+ shape:
407
+ - 2
408
+ dtype: int32
409
+ authors:
410
+ contributed_by:
411
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
412
+ dataset_description: This dataset uses an extended format based on LeRobot and is
413
+ fully compatible with LeRobot.
414
+ homepage: https://flagopen.github.io/RoboCOIN/
415
+ paper: https://arxiv.org/abs/2511.17441
416
+ repository: https://github.com/FlagOpen/RoboCOIN
417
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
418
+ us.
419
+ support_info: For technical support, please open an issue on our GitHub repository.
420
+ license_details: apache-2.0
421
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
422
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
423
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
424
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
425
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
426
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
427
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
428
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
429
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
430
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
431
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
432
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
433
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
434
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
435
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
436
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
437
+ additional_citations: 'If you use this dataset, please also consider citing:
438
+
439
+ LeRobot Framework: https://github.com/huggingface/lerobot
440
+
441
+ '
442
+ version_info: Initial Release
443
+ data_path: data/chunk-{id}/episode_{id}.parquet
444
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
445
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_move_block_both_hands.yaml ADDED
@@ -0,0 +1,428 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_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: 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 both hands simultaneously and place them on the
44
+ blocks.
45
+ sub_tasks:
46
+ - subtask: Place the blue block on top of the red block with the left gripper
47
+ subtask_index: 0
48
+ - subtask: End
49
+ subtask_index: 1
50
+ - subtask: Grasp the green block with the right gripper
51
+ subtask_index: 2
52
+ - subtask: Grasp the blue block with the left gripper
53
+ subtask_index: 3
54
+ - subtask: Place the green block on top of the yellow block with the right gripper
55
+ subtask_index: 4
56
+ - subtask: 'null'
57
+ subtask_index: 5
58
+ atomic_actions:
59
+ - grasp
60
+ - pick
61
+ - place
62
+ robot_name:
63
+ - Airbot_MMK2
64
+ end_effector_type: five_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
+ - cam_front_rgb
72
+ came_info:
73
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
74
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
75
+ pix_fmt=yuv420p
76
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
77
+ pix_fmt=yuv420p
78
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ depth_enabled: false
80
+ coordinate_definition: right-hand-frame
81
+ joint_rotation_dim: radian
82
+ end_rotation_dim: end_rotation_dim
83
+ end_translation_dim: end_translation_dim
84
+ annotations:
85
+ - eef_acc_mag_annotation.jsonl
86
+ - eef_direction_annotation.jsonl
87
+ - eef_velocity_annotation.jsonl
88
+ - gripper_activity_annotation.jsonl
89
+ - gripper_mode_annotation.jsonl
90
+ - scene_annotations.jsonl
91
+ - subtask_annotations.jsonl
92
+ statistics:
93
+ total_episodes: 54
94
+ total_frames: 8888
95
+ fps: 30
96
+ total_tasks: 6
97
+ total_videos: 216
98
+ total_chunks: 1
99
+ chunks_size: 1000
100
+ state_dim: 36
101
+ action_dim: 36
102
+ camera_views: 4
103
+ dataset_size: 388.10 MB
104
+ frame_num: 8888
105
+ dataset_size: 388.10 MB
106
+ data_structure: "Airbot_MMK2_move_block_both_hands_qced_hardlink/\n|-- annotations\n\
107
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
108
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
109
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
110
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
111
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
112
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
113
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
114
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
115
+ | `-- episode_000011.parquet\n| `-- ... (42 more entries)\n|-- meta\n\
116
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
117
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
118
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
119
+ \ `-- observation.images.cam_right_wrist_rgb"
120
+ splits:
121
+ train: 0:53
122
+ features:
123
+ observation.images.cam_head_rgb:
124
+ dtype: video
125
+ shape:
126
+ - 480
127
+ - 640
128
+ - 3
129
+ names:
130
+ - height
131
+ - width
132
+ - channels
133
+ info:
134
+ video.height: 480
135
+ video.width: 640
136
+ video.codec: av1
137
+ video.pix_fmt: yuv420p
138
+ video.is_depth_map: false
139
+ video.fps: 30
140
+ video.channels: 3
141
+ has_audio: false
142
+ observation.images.cam_left_wrist_rgb:
143
+ dtype: video
144
+ shape:
145
+ - 480
146
+ - 640
147
+ - 3
148
+ names:
149
+ - height
150
+ - width
151
+ - channels
152
+ info:
153
+ video.height: 480
154
+ video.width: 640
155
+ video.codec: av1
156
+ video.pix_fmt: yuv420p
157
+ video.is_depth_map: false
158
+ video.fps: 30
159
+ video.channels: 3
160
+ has_audio: false
161
+ observation.images.cam_right_wrist_rgb:
162
+ dtype: video
163
+ shape:
164
+ - 480
165
+ - 640
166
+ - 3
167
+ names:
168
+ - height
169
+ - width
170
+ - channels
171
+ info:
172
+ video.height: 480
173
+ video.width: 640
174
+ video.codec: av1
175
+ video.pix_fmt: yuv420p
176
+ video.is_depth_map: false
177
+ video.fps: 30
178
+ video.channels: 3
179
+ has_audio: false
180
+ observation.images.cam_front_rgb:
181
+ dtype: video
182
+ shape:
183
+ - 480
184
+ - 640
185
+ - 3
186
+ names:
187
+ - height
188
+ - width
189
+ - channels
190
+ info:
191
+ video.height: 480
192
+ video.width: 640
193
+ video.codec: av1
194
+ video.pix_fmt: yuv420p
195
+ video.is_depth_map: false
196
+ video.fps: 30
197
+ video.channels: 3
198
+ has_audio: false
199
+ observation.state:
200
+ dtype: float32
201
+ shape:
202
+ - 36
203
+ names:
204
+ - left_arm_joint_1_rad
205
+ - left_arm_joint_2_rad
206
+ - left_arm_joint_3_rad
207
+ - left_arm_joint_4_rad
208
+ - left_arm_joint_5_rad
209
+ - left_arm_joint_6_rad
210
+ - right_arm_joint_1_rad
211
+ - right_arm_joint_2_rad
212
+ - right_arm_joint_3_rad
213
+ - right_arm_joint_4_rad
214
+ - right_arm_joint_5_rad
215
+ - right_arm_joint_6_rad
216
+ - left_hand_joint_1_rad
217
+ - left_hand_joint_2_rad
218
+ - left_hand_joint_3_rad
219
+ - left_hand_joint_4_rad
220
+ - left_hand_joint_5_rad
221
+ - left_hand_joint_6_rad
222
+ - left_hand_joint_7_rad
223
+ - left_hand_joint_8_rad
224
+ - left_hand_joint_9_rad
225
+ - left_hand_joint_10_rad
226
+ - left_hand_joint_11_rad
227
+ - left_hand_joint_12_rad
228
+ - right_hand_joint_1_rad
229
+ - right_hand_joint_2_rad
230
+ - right_hand_joint_3_rad
231
+ - right_hand_joint_4_rad
232
+ - right_hand_joint_5_rad
233
+ - right_hand_joint_6_rad
234
+ - right_hand_joint_7_rad
235
+ - right_hand_joint_8_rad
236
+ - right_hand_joint_9_rad
237
+ - right_hand_joint_10_rad
238
+ - right_hand_joint_11_rad
239
+ - right_hand_joint_12_rad
240
+ action:
241
+ dtype: float32
242
+ shape:
243
+ - 36
244
+ names:
245
+ - left_arm_joint_1_rad
246
+ - left_arm_joint_2_rad
247
+ - left_arm_joint_3_rad
248
+ - left_arm_joint_4_rad
249
+ - left_arm_joint_5_rad
250
+ - left_arm_joint_6_rad
251
+ - right_arm_joint_1_rad
252
+ - right_arm_joint_2_rad
253
+ - right_arm_joint_3_rad
254
+ - right_arm_joint_4_rad
255
+ - right_arm_joint_5_rad
256
+ - right_arm_joint_6_rad
257
+ - left_hand_joint_1_rad
258
+ - left_hand_joint_2_rad
259
+ - left_hand_joint_3_rad
260
+ - left_hand_joint_4_rad
261
+ - left_hand_joint_5_rad
262
+ - left_hand_joint_6_rad
263
+ - left_hand_joint_7_rad
264
+ - left_hand_joint_8_rad
265
+ - left_hand_joint_9_rad
266
+ - left_hand_joint_10_rad
267
+ - left_hand_joint_11_rad
268
+ - left_hand_joint_12_rad
269
+ - right_hand_joint_1_rad
270
+ - right_hand_joint_2_rad
271
+ - right_hand_joint_3_rad
272
+ - right_hand_joint_4_rad
273
+ - right_hand_joint_5_rad
274
+ - right_hand_joint_6_rad
275
+ - right_hand_joint_7_rad
276
+ - right_hand_joint_8_rad
277
+ - right_hand_joint_9_rad
278
+ - right_hand_joint_10_rad
279
+ - right_hand_joint_11_rad
280
+ - right_hand_joint_12_rad
281
+ timestamp:
282
+ dtype: float32
283
+ shape:
284
+ - 1
285
+ names: null
286
+ frame_index:
287
+ dtype: int64
288
+ shape:
289
+ - 1
290
+ names: null
291
+ episode_index:
292
+ dtype: int64
293
+ shape:
294
+ - 1
295
+ names: null
296
+ index:
297
+ dtype: int64
298
+ shape:
299
+ - 1
300
+ names: null
301
+ task_index:
302
+ dtype: int64
303
+ shape:
304
+ - 1
305
+ names: null
306
+ subtask_annotation:
307
+ names: null
308
+ shape:
309
+ - 5
310
+ dtype: int32
311
+ scene_annotation:
312
+ names: null
313
+ shape:
314
+ - 1
315
+ dtype: int32
316
+ eef_sim_pose_state:
317
+ names:
318
+ - left_eef_pos_x
319
+ - left_eef_pos_y
320
+ - left_eef_pos_z
321
+ - left_eef_rot_x
322
+ - left_eef_rot_y
323
+ - left_eef_rot_z
324
+ - right_eef_pos_x
325
+ - right_eef_pos_y
326
+ - right_eef_pos_z
327
+ - right_eef_rot_x
328
+ - right_eef_rot_y
329
+ - right_eef_rot_z
330
+ shape:
331
+ - 12
332
+ dtype: float32
333
+ eef_sim_pose_action:
334
+ names:
335
+ - left_eef_pos_x
336
+ - left_eef_pos_y
337
+ - left_eef_pos_z
338
+ - left_eef_rot_x
339
+ - left_eef_rot_y
340
+ - left_eef_rot_z
341
+ - right_eef_pos_x
342
+ - right_eef_pos_y
343
+ - right_eef_pos_z
344
+ - right_eef_rot_x
345
+ - right_eef_rot_y
346
+ - right_eef_rot_z
347
+ shape:
348
+ - 12
349
+ dtype: float32
350
+ eef_direction_state:
351
+ names:
352
+ - left_eef_direction
353
+ - right_eef_direction
354
+ shape:
355
+ - 2
356
+ dtype: int32
357
+ eef_direction_action:
358
+ names:
359
+ - left_eef_direction
360
+ - right_eef_direction
361
+ shape:
362
+ - 2
363
+ dtype: int32
364
+ eef_velocity_state:
365
+ names:
366
+ - left_eef_velocity
367
+ - right_eef_velocity
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_velocity_action:
372
+ names:
373
+ - left_eef_velocity
374
+ - right_eef_velocity
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_acc_mag_state:
379
+ names:
380
+ - left_eef_acc_mag
381
+ - right_eef_acc_mag
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_acc_mag_action:
386
+ names:
387
+ - left_eef_acc_mag
388
+ - right_eef_acc_mag
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ authors:
393
+ contributed_by:
394
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
395
+ dataset_description: This dataset uses an extended format based on LeRobot and is
396
+ fully compatible with LeRobot.
397
+ homepage: https://flagopen.github.io/RoboCOIN/
398
+ paper: https://arxiv.org/abs/2511.17441
399
+ repository: https://github.com/FlagOpen/RoboCOIN
400
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
401
+ us.
402
+ support_info: For technical support, please open an issue on our GitHub repository.
403
+ license_details: apache-2.0
404
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
405
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
406
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
407
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
408
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
409
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
410
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
411
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
412
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
413
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
414
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
415
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
416
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
417
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
418
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
419
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
420
+ additional_citations: 'If you use this dataset, please also consider citing:
421
+
422
+ LeRobot Framework: https://github.com/huggingface/lerobot
423
+
424
+ '
425
+ version_info: Initial Release
426
+ data_path: data/chunk-{id}/episode_{id}.parquet
427
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
428
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_move_block_wet_wipes.yaml ADDED
@@ -0,0 +1,501 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_wet_wipes
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: white_tray
35
+ level1: kitchen_supplies
36
+ level2: white_tray
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: arch_building_blocks
41
+ level1: toys
42
+ level2: arch_building_blocks
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: wet_tissue_paper
47
+ level1: kitchen_supplies
48
+ level2: wet_tissue_paper
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 wet wipes and building blocks into the white tray respectively with your
56
+ left and right hands.
57
+ sub_tasks:
58
+ - subtask: Place the arched build blocks on the white board with the right gripper
59
+ subtask_index: 0
60
+ - subtask: End
61
+ subtask_index: 1
62
+ - subtask: Grasp the wet wipes with the left gripper
63
+ subtask_index: 2
64
+ - subtask: Grasp the arched build blocks with the right gripper
65
+ subtask_index: 3
66
+ - subtask: Place the wet wipes on the white board with the left gripper
67
+ subtask_index: 4
68
+ - subtask: Abnormal
69
+ subtask_index: 5
70
+ - subtask: 'null'
71
+ subtask_index: 6
72
+ atomic_actions:
73
+ - grasp
74
+ - pick
75
+ - place
76
+ robot_name:
77
+ - Airbot_MMK2
78
+ end_effector_type: five_finger_gripper
79
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
80
+ type information.
81
+ sensor_list:
82
+ - cam_head_rgb
83
+ - cam_left_wrist_rgb
84
+ - cam_right_wrist_rgb
85
+ - cam_front_rgb
86
+ came_info:
87
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
93
+ depth_enabled: false
94
+ coordinate_definition: right-hand-frame
95
+ joint_rotation_dim: radian
96
+ end_rotation_dim: end_rotation_dim
97
+ end_translation_dim: end_translation_dim
98
+ annotations:
99
+ - eef_acc_mag_annotation.jsonl
100
+ - eef_direction_annotation.jsonl
101
+ - eef_velocity_annotation.jsonl
102
+ - gripper_activity_annotation.jsonl
103
+ - gripper_mode_annotation.jsonl
104
+ - scene_annotations.jsonl
105
+ - subtask_annotations.jsonl
106
+ statistics:
107
+ total_episodes: 60
108
+ total_frames: 15271
109
+ fps: 30
110
+ total_tasks: 7
111
+ total_videos: 240
112
+ total_chunks: 1
113
+ chunks_size: 1000
114
+ state_dim: 36
115
+ action_dim: 36
116
+ camera_views: 4
117
+ dataset_size: 479.18 MB
118
+ frame_num: 15271
119
+ dataset_size: 479.18 MB
120
+ data_structure: 'Airbot_MMK2_move_block_wet_wipes_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
+ |-- 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
+ | `-- ... (48 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_front_rgb
183
+
184
+ | |-- observation.images.cam_head_rgb
185
+
186
+ | |-- observation.images.cam_left_wrist_rgb
187
+
188
+ | `-- observation.images.cam_right_wrist_rgb
189
+
190
+ |-- info.yaml
191
+
192
+ `-- README.md'
193
+ splits:
194
+ train: 0:59
195
+ features:
196
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
216
+ dtype: video
217
+ shape:
218
+ - 480
219
+ - 640
220
+ - 3
221
+ names:
222
+ - height
223
+ - width
224
+ - channels
225
+ info:
226
+ video.height: 480
227
+ video.width: 640
228
+ video.codec: av1
229
+ video.pix_fmt: yuv420p
230
+ video.is_depth_map: false
231
+ video.fps: 30
232
+ video.channels: 3
233
+ has_audio: false
234
+ observation.images.cam_right_wrist_rgb:
235
+ dtype: video
236
+ shape:
237
+ - 480
238
+ - 640
239
+ - 3
240
+ names:
241
+ - height
242
+ - width
243
+ - channels
244
+ info:
245
+ video.height: 480
246
+ video.width: 640
247
+ video.codec: av1
248
+ video.pix_fmt: yuv420p
249
+ video.is_depth_map: false
250
+ video.fps: 30
251
+ video.channels: 3
252
+ has_audio: false
253
+ observation.images.cam_front_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.state:
273
+ dtype: float32
274
+ shape:
275
+ - 36
276
+ names:
277
+ - left_arm_joint_1_rad
278
+ - left_arm_joint_2_rad
279
+ - left_arm_joint_3_rad
280
+ - left_arm_joint_4_rad
281
+ - left_arm_joint_5_rad
282
+ - left_arm_joint_6_rad
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
+ - left_hand_joint_1_rad
290
+ - left_hand_joint_2_rad
291
+ - left_hand_joint_3_rad
292
+ - left_hand_joint_4_rad
293
+ - left_hand_joint_5_rad
294
+ - left_hand_joint_6_rad
295
+ - left_hand_joint_7_rad
296
+ - left_hand_joint_8_rad
297
+ - left_hand_joint_9_rad
298
+ - left_hand_joint_10_rad
299
+ - left_hand_joint_11_rad
300
+ - left_hand_joint_12_rad
301
+ - right_hand_joint_1_rad
302
+ - right_hand_joint_2_rad
303
+ - right_hand_joint_3_rad
304
+ - right_hand_joint_4_rad
305
+ - right_hand_joint_5_rad
306
+ - right_hand_joint_6_rad
307
+ - right_hand_joint_7_rad
308
+ - right_hand_joint_8_rad
309
+ - right_hand_joint_9_rad
310
+ - right_hand_joint_10_rad
311
+ - right_hand_joint_11_rad
312
+ - right_hand_joint_12_rad
313
+ action:
314
+ dtype: float32
315
+ shape:
316
+ - 36
317
+ names:
318
+ - left_arm_joint_1_rad
319
+ - left_arm_joint_2_rad
320
+ - left_arm_joint_3_rad
321
+ - left_arm_joint_4_rad
322
+ - left_arm_joint_5_rad
323
+ - left_arm_joint_6_rad
324
+ - right_arm_joint_1_rad
325
+ - right_arm_joint_2_rad
326
+ - right_arm_joint_3_rad
327
+ - right_arm_joint_4_rad
328
+ - right_arm_joint_5_rad
329
+ - right_arm_joint_6_rad
330
+ - left_hand_joint_1_rad
331
+ - left_hand_joint_2_rad
332
+ - left_hand_joint_3_rad
333
+ - left_hand_joint_4_rad
334
+ - left_hand_joint_5_rad
335
+ - left_hand_joint_6_rad
336
+ - left_hand_joint_7_rad
337
+ - left_hand_joint_8_rad
338
+ - left_hand_joint_9_rad
339
+ - left_hand_joint_10_rad
340
+ - left_hand_joint_11_rad
341
+ - left_hand_joint_12_rad
342
+ - right_hand_joint_1_rad
343
+ - right_hand_joint_2_rad
344
+ - right_hand_joint_3_rad
345
+ - right_hand_joint_4_rad
346
+ - right_hand_joint_5_rad
347
+ - right_hand_joint_6_rad
348
+ - right_hand_joint_7_rad
349
+ - right_hand_joint_8_rad
350
+ - right_hand_joint_9_rad
351
+ - right_hand_joint_10_rad
352
+ - right_hand_joint_11_rad
353
+ - right_hand_joint_12_rad
354
+ timestamp:
355
+ dtype: float32
356
+ shape:
357
+ - 1
358
+ names: null
359
+ frame_index:
360
+ dtype: int64
361
+ shape:
362
+ - 1
363
+ names: null
364
+ episode_index:
365
+ dtype: int64
366
+ shape:
367
+ - 1
368
+ names: null
369
+ index:
370
+ dtype: int64
371
+ shape:
372
+ - 1
373
+ names: null
374
+ task_index:
375
+ dtype: int64
376
+ shape:
377
+ - 1
378
+ names: null
379
+ subtask_annotation:
380
+ names: null
381
+ shape:
382
+ - 5
383
+ dtype: int32
384
+ scene_annotation:
385
+ names: null
386
+ shape:
387
+ - 1
388
+ dtype: int32
389
+ eef_sim_pose_state:
390
+ names:
391
+ - left_eef_pos_x
392
+ - left_eef_pos_y
393
+ - left_eef_pos_z
394
+ - left_eef_rot_x
395
+ - left_eef_rot_y
396
+ - left_eef_rot_z
397
+ - right_eef_pos_x
398
+ - right_eef_pos_y
399
+ - right_eef_pos_z
400
+ - right_eef_rot_x
401
+ - right_eef_rot_y
402
+ - right_eef_rot_z
403
+ shape:
404
+ - 12
405
+ dtype: float32
406
+ eef_sim_pose_action:
407
+ names:
408
+ - left_eef_pos_x
409
+ - left_eef_pos_y
410
+ - left_eef_pos_z
411
+ - left_eef_rot_x
412
+ - left_eef_rot_y
413
+ - left_eef_rot_z
414
+ - right_eef_pos_x
415
+ - right_eef_pos_y
416
+ - right_eef_pos_z
417
+ - right_eef_rot_x
418
+ - right_eef_rot_y
419
+ - right_eef_rot_z
420
+ shape:
421
+ - 12
422
+ dtype: float32
423
+ eef_direction_state:
424
+ names:
425
+ - left_eef_direction
426
+ - right_eef_direction
427
+ shape:
428
+ - 2
429
+ dtype: int32
430
+ eef_direction_action:
431
+ names:
432
+ - left_eef_direction
433
+ - right_eef_direction
434
+ shape:
435
+ - 2
436
+ dtype: int32
437
+ eef_velocity_state:
438
+ names:
439
+ - left_eef_velocity
440
+ - right_eef_velocity
441
+ shape:
442
+ - 2
443
+ dtype: int32
444
+ eef_velocity_action:
445
+ names:
446
+ - left_eef_velocity
447
+ - right_eef_velocity
448
+ shape:
449
+ - 2
450
+ dtype: int32
451
+ eef_acc_mag_state:
452
+ names:
453
+ - left_eef_acc_mag
454
+ - right_eef_acc_mag
455
+ shape:
456
+ - 2
457
+ dtype: int32
458
+ eef_acc_mag_action:
459
+ names:
460
+ - left_eef_acc_mag
461
+ - right_eef_acc_mag
462
+ shape:
463
+ - 2
464
+ dtype: int32
465
+ authors:
466
+ contributed_by:
467
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
468
+ dataset_description: This dataset uses an extended format based on LeRobot and is
469
+ fully compatible with LeRobot.
470
+ homepage: https://flagopen.github.io/RoboCOIN/
471
+ paper: https://arxiv.org/abs/2511.17441
472
+ repository: https://github.com/FlagOpen/RoboCOIN
473
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
474
+ us.
475
+ support_info: For technical support, please open an issue on our GitHub repository.
476
+ license_details: apache-2.0
477
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
478
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
479
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
480
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
481
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
482
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
483
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
484
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
485
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
486
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
487
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
488
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
489
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
490
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
491
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
492
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
493
+ additional_citations: 'If you use this dataset, please also consider citing:
494
+
495
+ LeRobot Framework: https://github.com/huggingface/lerobot
496
+
497
+ '
498
+ version_info: Initial Release
499
+ data_path: data/chunk-{id}/episode_{id}.parquet
500
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
501
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_move_cake.yaml ADDED
@@ -0,0 +1,504 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_cake
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: shelf
35
+ level1: home_storage
36
+ level2: shelf
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
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - place two cakes on the shelf with each hand respectively.
50
+ sub_tasks:
51
+ - subtask: Place the ice cream into the plate with the right gripper
52
+ subtask_index: 0
53
+ - subtask: Place the cake onto the block toy with the right gripper
54
+ subtask_index: 1
55
+ - subtask: Grasp the cake with the left gripper
56
+ subtask_index: 2
57
+ - subtask: Place the cake on the yellow cube block with the left gripper
58
+ subtask_index: 3
59
+ - subtask: Place the cake on the blue cube block with the right gripper
60
+ subtask_index: 4
61
+ - subtask: Place the cake onto the block toy with the left gripper
62
+ subtask_index: 5
63
+ - subtask: Grasp the cake with the right gripper
64
+ subtask_index: 6
65
+ - subtask: Static
66
+ subtask_index: 7
67
+ - subtask: Grasp the cake from the table and with the right gripper
68
+ subtask_index: 8
69
+ - subtask: Grasp the cake from the table and with the left gripper
70
+ subtask_index: 9
71
+ - subtask: End
72
+ subtask_index: 10
73
+ - subtask: 'null'
74
+ subtask_index: 11
75
+ atomic_actions:
76
+ - grasp
77
+ - pick
78
+ - place
79
+ robot_name:
80
+ - Airbot_MMK2
81
+ end_effector_type: five_finger_gripper
82
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
83
+ type information.
84
+ sensor_list:
85
+ - cam_head_rgb
86
+ - cam_left_wrist_rgb
87
+ - cam_right_wrist_rgb
88
+ - cam_front_rgb
89
+ came_info:
90
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
91
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
92
+ pix_fmt=yuv420p
93
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
94
+ pix_fmt=yuv420p
95
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
96
+ depth_enabled: false
97
+ coordinate_definition: right-hand-frame
98
+ joint_rotation_dim: radian
99
+ end_rotation_dim: end_rotation_dim
100
+ end_translation_dim: end_translation_dim
101
+ annotations:
102
+ - eef_acc_mag_annotation.jsonl
103
+ - eef_direction_annotation.jsonl
104
+ - eef_velocity_annotation.jsonl
105
+ - gripper_activity_annotation.jsonl
106
+ - gripper_mode_annotation.jsonl
107
+ - scene_annotations.jsonl
108
+ - subtask_annotations.jsonl
109
+ statistics:
110
+ total_episodes: 94
111
+ total_frames: 22873
112
+ fps: 30
113
+ total_tasks: 12
114
+ total_videos: 376
115
+ total_chunks: 1
116
+ chunks_size: 1000
117
+ state_dim: 36
118
+ action_dim: 36
119
+ camera_views: 4
120
+ dataset_size: 1009.39 MB
121
+ frame_num: 22873
122
+ dataset_size: 1009.39 MB
123
+ data_structure: 'Airbot_MMK2_move_cake_qced_hardlink/
124
+
125
+ |-- annotations
126
+
127
+ | |-- eef_acc_mag_annotation.jsonl
128
+
129
+ | |-- eef_direction_annotation.jsonl
130
+
131
+ | |-- eef_velocity_annotation.jsonl
132
+
133
+ | |-- gripper_activity_annotation.jsonl
134
+
135
+ | |-- gripper_mode_annotation.jsonl
136
+
137
+ | |-- scene_annotations.jsonl
138
+
139
+ | `-- subtask_annotations.jsonl
140
+
141
+ |-- data
142
+
143
+ | `-- chunk-000
144
+
145
+ | |-- episode_000000.parquet
146
+
147
+ | |-- episode_000001.parquet
148
+
149
+ | |-- episode_000002.parquet
150
+
151
+ | |-- episode_000003.parquet
152
+
153
+ | |-- episode_000004.parquet
154
+
155
+ | |-- episode_000005.parquet
156
+
157
+ | |-- episode_000006.parquet
158
+
159
+ | |-- episode_000007.parquet
160
+
161
+ | |-- episode_000008.parquet
162
+
163
+ | |-- episode_000009.parquet
164
+
165
+ | |-- episode_000010.parquet
166
+
167
+ | `-- episode_000011.parquet
168
+
169
+ | `-- ... (82 more entries)
170
+
171
+ |-- meta
172
+
173
+ | |-- episodes.jsonl
174
+
175
+ | |-- episodes_stats.jsonl
176
+
177
+ | |-- info.json
178
+
179
+ | `-- tasks.jsonl
180
+
181
+ |-- videos
182
+
183
+ | `-- chunk-000
184
+
185
+ | |-- observation.images.cam_front_rgb
186
+
187
+ | |-- observation.images.cam_head_rgb
188
+
189
+ | |-- observation.images.cam_left_wrist_rgb
190
+
191
+ | `-- observation.images.cam_right_wrist_rgb
192
+
193
+ |-- info.yaml
194
+
195
+ `-- README.md'
196
+ splits:
197
+ train: 0:93
198
+ features:
199
+ observation.images.cam_head_rgb:
200
+ dtype: video
201
+ shape:
202
+ - 480
203
+ - 640
204
+ - 3
205
+ names:
206
+ - height
207
+ - width
208
+ - channels
209
+ info:
210
+ video.height: 480
211
+ video.width: 640
212
+ video.codec: av1
213
+ video.pix_fmt: yuv420p
214
+ video.is_depth_map: false
215
+ video.fps: 30
216
+ video.channels: 3
217
+ has_audio: false
218
+ observation.images.cam_left_wrist_rgb:
219
+ dtype: video
220
+ shape:
221
+ - 480
222
+ - 640
223
+ - 3
224
+ names:
225
+ - height
226
+ - width
227
+ - channels
228
+ info:
229
+ video.height: 480
230
+ video.width: 640
231
+ video.codec: av1
232
+ video.pix_fmt: yuv420p
233
+ video.is_depth_map: false
234
+ video.fps: 30
235
+ video.channels: 3
236
+ has_audio: false
237
+ observation.images.cam_right_wrist_rgb:
238
+ dtype: video
239
+ shape:
240
+ - 480
241
+ - 640
242
+ - 3
243
+ names:
244
+ - height
245
+ - width
246
+ - channels
247
+ info:
248
+ video.height: 480
249
+ video.width: 640
250
+ video.codec: av1
251
+ video.pix_fmt: yuv420p
252
+ video.is_depth_map: false
253
+ video.fps: 30
254
+ video.channels: 3
255
+ has_audio: false
256
+ observation.images.cam_front_rgb:
257
+ dtype: video
258
+ shape:
259
+ - 480
260
+ - 640
261
+ - 3
262
+ names:
263
+ - height
264
+ - width
265
+ - channels
266
+ info:
267
+ video.height: 480
268
+ video.width: 640
269
+ video.codec: av1
270
+ video.pix_fmt: yuv420p
271
+ video.is_depth_map: false
272
+ video.fps: 30
273
+ video.channels: 3
274
+ has_audio: false
275
+ observation.state:
276
+ dtype: float32
277
+ shape:
278
+ - 36
279
+ names:
280
+ - left_arm_joint_1_rad
281
+ - left_arm_joint_2_rad
282
+ - left_arm_joint_3_rad
283
+ - left_arm_joint_4_rad
284
+ - left_arm_joint_5_rad
285
+ - left_arm_joint_6_rad
286
+ - right_arm_joint_1_rad
287
+ - right_arm_joint_2_rad
288
+ - right_arm_joint_3_rad
289
+ - right_arm_joint_4_rad
290
+ - right_arm_joint_5_rad
291
+ - right_arm_joint_6_rad
292
+ - left_hand_joint_1_rad
293
+ - left_hand_joint_2_rad
294
+ - left_hand_joint_3_rad
295
+ - left_hand_joint_4_rad
296
+ - left_hand_joint_5_rad
297
+ - left_hand_joint_6_rad
298
+ - left_hand_joint_7_rad
299
+ - left_hand_joint_8_rad
300
+ - left_hand_joint_9_rad
301
+ - left_hand_joint_10_rad
302
+ - left_hand_joint_11_rad
303
+ - left_hand_joint_12_rad
304
+ - right_hand_joint_1_rad
305
+ - right_hand_joint_2_rad
306
+ - right_hand_joint_3_rad
307
+ - right_hand_joint_4_rad
308
+ - right_hand_joint_5_rad
309
+ - right_hand_joint_6_rad
310
+ - right_hand_joint_7_rad
311
+ - right_hand_joint_8_rad
312
+ - right_hand_joint_9_rad
313
+ - right_hand_joint_10_rad
314
+ - right_hand_joint_11_rad
315
+ - right_hand_joint_12_rad
316
+ action:
317
+ dtype: float32
318
+ shape:
319
+ - 36
320
+ names:
321
+ - left_arm_joint_1_rad
322
+ - left_arm_joint_2_rad
323
+ - left_arm_joint_3_rad
324
+ - left_arm_joint_4_rad
325
+ - left_arm_joint_5_rad
326
+ - left_arm_joint_6_rad
327
+ - right_arm_joint_1_rad
328
+ - right_arm_joint_2_rad
329
+ - right_arm_joint_3_rad
330
+ - right_arm_joint_4_rad
331
+ - right_arm_joint_5_rad
332
+ - right_arm_joint_6_rad
333
+ - left_hand_joint_1_rad
334
+ - left_hand_joint_2_rad
335
+ - left_hand_joint_3_rad
336
+ - left_hand_joint_4_rad
337
+ - left_hand_joint_5_rad
338
+ - left_hand_joint_6_rad
339
+ - left_hand_joint_7_rad
340
+ - left_hand_joint_8_rad
341
+ - left_hand_joint_9_rad
342
+ - left_hand_joint_10_rad
343
+ - left_hand_joint_11_rad
344
+ - left_hand_joint_12_rad
345
+ - right_hand_joint_1_rad
346
+ - right_hand_joint_2_rad
347
+ - right_hand_joint_3_rad
348
+ - right_hand_joint_4_rad
349
+ - right_hand_joint_5_rad
350
+ - right_hand_joint_6_rad
351
+ - right_hand_joint_7_rad
352
+ - right_hand_joint_8_rad
353
+ - right_hand_joint_9_rad
354
+ - right_hand_joint_10_rad
355
+ - right_hand_joint_11_rad
356
+ - right_hand_joint_12_rad
357
+ timestamp:
358
+ dtype: float32
359
+ shape:
360
+ - 1
361
+ names: null
362
+ frame_index:
363
+ dtype: int64
364
+ shape:
365
+ - 1
366
+ names: null
367
+ episode_index:
368
+ dtype: int64
369
+ shape:
370
+ - 1
371
+ names: null
372
+ index:
373
+ dtype: int64
374
+ shape:
375
+ - 1
376
+ names: null
377
+ task_index:
378
+ dtype: int64
379
+ shape:
380
+ - 1
381
+ names: null
382
+ subtask_annotation:
383
+ names: null
384
+ shape:
385
+ - 5
386
+ dtype: int32
387
+ scene_annotation:
388
+ names: null
389
+ shape:
390
+ - 1
391
+ dtype: int32
392
+ eef_sim_pose_state:
393
+ names:
394
+ - left_eef_pos_x
395
+ - left_eef_pos_y
396
+ - left_eef_pos_z
397
+ - left_eef_rot_x
398
+ - left_eef_rot_y
399
+ - left_eef_rot_z
400
+ - right_eef_pos_x
401
+ - right_eef_pos_y
402
+ - right_eef_pos_z
403
+ - right_eef_rot_x
404
+ - right_eef_rot_y
405
+ - right_eef_rot_z
406
+ shape:
407
+ - 12
408
+ dtype: float32
409
+ eef_sim_pose_action:
410
+ names:
411
+ - left_eef_pos_x
412
+ - left_eef_pos_y
413
+ - left_eef_pos_z
414
+ - left_eef_rot_x
415
+ - left_eef_rot_y
416
+ - left_eef_rot_z
417
+ - right_eef_pos_x
418
+ - right_eef_pos_y
419
+ - right_eef_pos_z
420
+ - right_eef_rot_x
421
+ - right_eef_rot_y
422
+ - right_eef_rot_z
423
+ shape:
424
+ - 12
425
+ dtype: float32
426
+ eef_direction_state:
427
+ names:
428
+ - left_eef_direction
429
+ - right_eef_direction
430
+ shape:
431
+ - 2
432
+ dtype: int32
433
+ eef_direction_action:
434
+ names:
435
+ - left_eef_direction
436
+ - right_eef_direction
437
+ shape:
438
+ - 2
439
+ dtype: int32
440
+ eef_velocity_state:
441
+ names:
442
+ - left_eef_velocity
443
+ - right_eef_velocity
444
+ shape:
445
+ - 2
446
+ dtype: int32
447
+ eef_velocity_action:
448
+ names:
449
+ - left_eef_velocity
450
+ - right_eef_velocity
451
+ shape:
452
+ - 2
453
+ dtype: int32
454
+ eef_acc_mag_state:
455
+ names:
456
+ - left_eef_acc_mag
457
+ - right_eef_acc_mag
458
+ shape:
459
+ - 2
460
+ dtype: int32
461
+ eef_acc_mag_action:
462
+ names:
463
+ - left_eef_acc_mag
464
+ - right_eef_acc_mag
465
+ shape:
466
+ - 2
467
+ dtype: int32
468
+ authors:
469
+ contributed_by:
470
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
471
+ dataset_description: This dataset uses an extended format based on LeRobot and is
472
+ fully compatible with LeRobot.
473
+ homepage: https://flagopen.github.io/RoboCOIN/
474
+ paper: https://arxiv.org/abs/2511.17441
475
+ repository: https://github.com/FlagOpen/RoboCOIN
476
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
477
+ us.
478
+ support_info: For technical support, please open an issue on our GitHub repository.
479
+ license_details: apache-2.0
480
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
481
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
482
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
483
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
484
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
485
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
486
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
487
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
488
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
489
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
490
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
491
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
492
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
493
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
494
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
495
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
496
+ additional_citations: 'If you use this dataset, please also consider citing:
497
+
498
+ LeRobot Framework: https://github.com/huggingface/lerobot
499
+
500
+ '
501
+ version_info: Initial Release
502
+ data_path: data/chunk-{id}/episode_{id}.parquet
503
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
504
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_move_pan.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_move_pan
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: pan
35
+ level1: cookware
36
+ level2: pan
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: square_building_blocks
41
+ level1: toys
42
+ level2: square_building_blocks
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
+ - push the pan to the edge of the table with your left hand and place it on the building
50
+ block with your right hand.
51
+ sub_tasks:
52
+ - subtask: Grasp the frying pan with the right gripper
53
+ subtask_index: 0
54
+ - subtask: Abnormal
55
+ subtask_index: 1
56
+ - subtask: Place the frying pan on the red cube block with the right gripper
57
+ subtask_index: 2
58
+ - subtask: Push the frying pan on left to right with the left gripper
59
+ subtask_index: 3
60
+ - subtask: End
61
+ subtask_index: 4
62
+ - subtask: 'null'
63
+ subtask_index: 5
64
+ atomic_actions:
65
+ - push
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: 48
101
+ total_frames: 14881
102
+ fps: 30
103
+ total_tasks: 6
104
+ total_videos: 192
105
+ total_chunks: 1
106
+ chunks_size: 1000
107
+ state_dim: 36
108
+ action_dim: 36
109
+ camera_views: 4
110
+ dataset_size: 764.06 MB
111
+ frame_num: 14881
112
+ dataset_size: 764.06 MB
113
+ data_structure: "Airbot_MMK2_move_pan_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n\
114
+ | |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n\
115
+ | |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n\
116
+ | |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n|\
117
+ \ `-- 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
+ | `-- ... (36 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: 0:47
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_move_sword_doll.yaml ADDED
@@ -0,0 +1,435 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_sword_doll
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: white_basket
35
+ level1: home_storage
36
+ level2: white_basket
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
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - put the shark doll on the white box.
50
+ sub_tasks:
51
+ - subtask: Place the shark dagger on the white basket with the right gripper
52
+ subtask_index: 0
53
+ - subtask: Grasp the shark dagger with the left gripper
54
+ subtask_index: 1
55
+ - subtask: Place the shark dagger on the white basket with the left gripper
56
+ subtask_index: 2
57
+ - subtask: Abnormal
58
+ subtask_index: 3
59
+ - subtask: Grasp the shark dagger with the right gripper
60
+ subtask_index: 4
61
+ - subtask: End
62
+ subtask_index: 5
63
+ - subtask: 'null'
64
+ subtask_index: 6
65
+ atomic_actions:
66
+ - grasp
67
+ - lift
68
+ - lower
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: 48
101
+ total_frames: 5383
102
+ fps: 30
103
+ total_tasks: 7
104
+ total_videos: 192
105
+ total_chunks: 1
106
+ chunks_size: 1000
107
+ state_dim: 36
108
+ action_dim: 36
109
+ camera_views: 4
110
+ dataset_size: 226.25 MB
111
+ frame_num: 5383
112
+ dataset_size: 226.25 MB
113
+ data_structure: "Airbot_MMK2_move_sword_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| `--\
117
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
118
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
119
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
120
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
121
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
122
+ | `-- episode_000011.parquet\n| `-- ... (36 more entries)\n|-- meta\n\
123
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
124
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
125
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
126
+ \ `-- observation.images.cam_right_wrist_rgb"
127
+ splits:
128
+ train: 0:47
129
+ features:
130
+ observation.images.cam_head_rgb:
131
+ dtype: video
132
+ shape:
133
+ - 480
134
+ - 640
135
+ - 3
136
+ names:
137
+ - height
138
+ - width
139
+ - channels
140
+ info:
141
+ video.height: 480
142
+ video.width: 640
143
+ video.codec: av1
144
+ video.pix_fmt: yuv420p
145
+ video.is_depth_map: false
146
+ video.fps: 30
147
+ video.channels: 3
148
+ has_audio: false
149
+ observation.images.cam_left_wrist_rgb:
150
+ dtype: video
151
+ shape:
152
+ - 480
153
+ - 640
154
+ - 3
155
+ names:
156
+ - height
157
+ - width
158
+ - channels
159
+ info:
160
+ video.height: 480
161
+ video.width: 640
162
+ video.codec: av1
163
+ video.pix_fmt: yuv420p
164
+ video.is_depth_map: false
165
+ video.fps: 30
166
+ video.channels: 3
167
+ has_audio: false
168
+ observation.images.cam_right_wrist_rgb:
169
+ dtype: video
170
+ shape:
171
+ - 480
172
+ - 640
173
+ - 3
174
+ names:
175
+ - height
176
+ - width
177
+ - channels
178
+ info:
179
+ video.height: 480
180
+ video.width: 640
181
+ video.codec: av1
182
+ video.pix_fmt: yuv420p
183
+ video.is_depth_map: false
184
+ video.fps: 30
185
+ video.channels: 3
186
+ has_audio: false
187
+ observation.images.cam_front_rgb:
188
+ dtype: video
189
+ shape:
190
+ - 480
191
+ - 640
192
+ - 3
193
+ names:
194
+ - height
195
+ - width
196
+ - channels
197
+ info:
198
+ video.height: 480
199
+ video.width: 640
200
+ video.codec: av1
201
+ video.pix_fmt: yuv420p
202
+ video.is_depth_map: false
203
+ video.fps: 30
204
+ video.channels: 3
205
+ has_audio: false
206
+ observation.state:
207
+ dtype: float32
208
+ shape:
209
+ - 36
210
+ names:
211
+ - left_arm_joint_1_rad
212
+ - left_arm_joint_2_rad
213
+ - left_arm_joint_3_rad
214
+ - left_arm_joint_4_rad
215
+ - left_arm_joint_5_rad
216
+ - left_arm_joint_6_rad
217
+ - right_arm_joint_1_rad
218
+ - right_arm_joint_2_rad
219
+ - right_arm_joint_3_rad
220
+ - right_arm_joint_4_rad
221
+ - right_arm_joint_5_rad
222
+ - right_arm_joint_6_rad
223
+ - left_hand_joint_1_rad
224
+ - left_hand_joint_2_rad
225
+ - left_hand_joint_3_rad
226
+ - left_hand_joint_4_rad
227
+ - left_hand_joint_5_rad
228
+ - left_hand_joint_6_rad
229
+ - left_hand_joint_7_rad
230
+ - left_hand_joint_8_rad
231
+ - left_hand_joint_9_rad
232
+ - left_hand_joint_10_rad
233
+ - left_hand_joint_11_rad
234
+ - left_hand_joint_12_rad
235
+ - right_hand_joint_1_rad
236
+ - right_hand_joint_2_rad
237
+ - right_hand_joint_3_rad
238
+ - right_hand_joint_4_rad
239
+ - right_hand_joint_5_rad
240
+ - right_hand_joint_6_rad
241
+ - right_hand_joint_7_rad
242
+ - right_hand_joint_8_rad
243
+ - right_hand_joint_9_rad
244
+ - right_hand_joint_10_rad
245
+ - right_hand_joint_11_rad
246
+ - right_hand_joint_12_rad
247
+ action:
248
+ dtype: float32
249
+ shape:
250
+ - 36
251
+ names:
252
+ - left_arm_joint_1_rad
253
+ - left_arm_joint_2_rad
254
+ - left_arm_joint_3_rad
255
+ - left_arm_joint_4_rad
256
+ - left_arm_joint_5_rad
257
+ - left_arm_joint_6_rad
258
+ - right_arm_joint_1_rad
259
+ - right_arm_joint_2_rad
260
+ - right_arm_joint_3_rad
261
+ - right_arm_joint_4_rad
262
+ - right_arm_joint_5_rad
263
+ - right_arm_joint_6_rad
264
+ - left_hand_joint_1_rad
265
+ - left_hand_joint_2_rad
266
+ - left_hand_joint_3_rad
267
+ - left_hand_joint_4_rad
268
+ - left_hand_joint_5_rad
269
+ - left_hand_joint_6_rad
270
+ - left_hand_joint_7_rad
271
+ - left_hand_joint_8_rad
272
+ - left_hand_joint_9_rad
273
+ - left_hand_joint_10_rad
274
+ - left_hand_joint_11_rad
275
+ - left_hand_joint_12_rad
276
+ - right_hand_joint_1_rad
277
+ - right_hand_joint_2_rad
278
+ - right_hand_joint_3_rad
279
+ - right_hand_joint_4_rad
280
+ - right_hand_joint_5_rad
281
+ - right_hand_joint_6_rad
282
+ - right_hand_joint_7_rad
283
+ - right_hand_joint_8_rad
284
+ - right_hand_joint_9_rad
285
+ - right_hand_joint_10_rad
286
+ - right_hand_joint_11_rad
287
+ - right_hand_joint_12_rad
288
+ timestamp:
289
+ dtype: float32
290
+ shape:
291
+ - 1
292
+ names: null
293
+ frame_index:
294
+ dtype: int64
295
+ shape:
296
+ - 1
297
+ names: null
298
+ episode_index:
299
+ dtype: int64
300
+ shape:
301
+ - 1
302
+ names: null
303
+ index:
304
+ dtype: int64
305
+ shape:
306
+ - 1
307
+ names: null
308
+ task_index:
309
+ dtype: int64
310
+ shape:
311
+ - 1
312
+ names: null
313
+ subtask_annotation:
314
+ names: null
315
+ shape:
316
+ - 5
317
+ dtype: int32
318
+ scene_annotation:
319
+ names: null
320
+ shape:
321
+ - 1
322
+ dtype: int32
323
+ eef_sim_pose_state:
324
+ names:
325
+ - left_eef_pos_x
326
+ - left_eef_pos_y
327
+ - left_eef_pos_z
328
+ - left_eef_rot_x
329
+ - left_eef_rot_y
330
+ - left_eef_rot_z
331
+ - right_eef_pos_x
332
+ - right_eef_pos_y
333
+ - right_eef_pos_z
334
+ - right_eef_rot_x
335
+ - right_eef_rot_y
336
+ - right_eef_rot_z
337
+ shape:
338
+ - 12
339
+ dtype: float32
340
+ eef_sim_pose_action:
341
+ names:
342
+ - left_eef_pos_x
343
+ - left_eef_pos_y
344
+ - left_eef_pos_z
345
+ - left_eef_rot_x
346
+ - left_eef_rot_y
347
+ - left_eef_rot_z
348
+ - right_eef_pos_x
349
+ - right_eef_pos_y
350
+ - right_eef_pos_z
351
+ - right_eef_rot_x
352
+ - right_eef_rot_y
353
+ - right_eef_rot_z
354
+ shape:
355
+ - 12
356
+ dtype: float32
357
+ eef_direction_state:
358
+ names:
359
+ - left_eef_direction
360
+ - right_eef_direction
361
+ shape:
362
+ - 2
363
+ dtype: int32
364
+ eef_direction_action:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_velocity_state:
372
+ names:
373
+ - left_eef_velocity
374
+ - right_eef_velocity
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_action:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_acc_mag_state:
386
+ names:
387
+ - left_eef_acc_mag
388
+ - right_eef_acc_mag
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_action:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ authors:
400
+ contributed_by:
401
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
402
+ dataset_description: This dataset uses an extended format based on LeRobot and is
403
+ fully compatible with LeRobot.
404
+ homepage: https://flagopen.github.io/RoboCOIN/
405
+ paper: https://arxiv.org/abs/2511.17441
406
+ repository: https://github.com/FlagOpen/RoboCOIN
407
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
408
+ us.
409
+ support_info: For technical support, please open an issue on our GitHub repository.
410
+ license_details: apache-2.0
411
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
412
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
413
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
414
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
415
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
416
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
417
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
418
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
419
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
420
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
421
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
422
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
423
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
424
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
425
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
426
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
427
+ additional_citations: 'If you use this dataset, please also consider citing:
428
+
429
+ LeRobot Framework: https://github.com/huggingface/lerobot
430
+
431
+ '
432
+ version_info: Initial Release
433
+ data_path: data/chunk-{id}/episode_{id}.parquet
434
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
435
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_move_umbrella_tissues.yaml ADDED
@@ -0,0 +1,445 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_umbrella_tissues
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: living_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: furniture
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: tissue_box
41
+ level1: kitchen_suppliesy
42
+ level2: tissue_box
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: umbrella
47
+ level1: daily_necessities
48
+ level2: umbrella
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: lid
53
+ level1: laboratory_supplies
54
+ level2: lid
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
59
+ the operation type information.
60
+ task_instruction:
61
+ - put the umbrella and tissues on the lid.
62
+ sub_tasks:
63
+ - subtask: Grasp the umbrella with the left gripper
64
+ subtask_index: 0
65
+ - subtask: Grasp the tissue with the right gripper
66
+ subtask_index: 1
67
+ - subtask: Place the tissue on the white lid with the right gripper
68
+ subtask_index: 2
69
+ - subtask: Place the umbrella on the white lid with the left gripper
70
+ subtask_index: 3
71
+ - subtask: End
72
+ subtask_index: 4
73
+ - subtask: 'null'
74
+ subtask_index: 5
75
+ atomic_actions:
76
+ - garsp
77
+ - pick
78
+ - place
79
+ robot_name:
80
+ - Airbot_MMK2
81
+ end_effector_type: five_finger_gripper
82
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
83
+ type information.
84
+ sensor_list:
85
+ - cam_head_rgb
86
+ - cam_left_wrist_rgb
87
+ - cam_right_wrist_rgb
88
+ - cam_front_rgb
89
+ came_info:
90
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
91
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
92
+ pix_fmt=yuv420p
93
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
94
+ pix_fmt=yuv420p
95
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
96
+ depth_enabled: false
97
+ coordinate_definition: right-hand-frame
98
+ joint_rotation_dim: radian
99
+ end_rotation_dim: end_rotation_dim
100
+ end_translation_dim: end_translation_dim
101
+ annotations:
102
+ - eef_acc_mag_annotation.jsonl
103
+ - eef_direction_annotation.jsonl
104
+ - eef_velocity_annotation.jsonl
105
+ - gripper_activity_annotation.jsonl
106
+ - gripper_mode_annotation.jsonl
107
+ - scene_annotations.jsonl
108
+ - subtask_annotations.jsonl
109
+ statistics:
110
+ total_episodes: 49
111
+ total_frames: 8709
112
+ fps: 30
113
+ total_tasks: 6
114
+ total_videos: 196
115
+ total_chunks: 1
116
+ chunks_size: 1000
117
+ state_dim: 36
118
+ action_dim: 36
119
+ camera_views: 4
120
+ dataset_size: 327.64 MB
121
+ frame_num: 8709
122
+ dataset_size: 327.64 MB
123
+ data_structure: "Airbot_MMK2_move_umbrella_tissues_qced_hardlink/\n|-- annotations\n\
124
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
125
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
126
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
127
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
128
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
129
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
130
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
131
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
132
+ | `-- episode_000011.parquet\n| `-- ... (37 more entries)\n|-- meta\n\
133
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
134
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
135
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
136
+ \ `-- observation.images.cam_right_wrist_rgb"
137
+ splits:
138
+ train: 0:48
139
+ features:
140
+ observation.images.cam_head_rgb:
141
+ dtype: video
142
+ shape:
143
+ - 480
144
+ - 640
145
+ - 3
146
+ names:
147
+ - height
148
+ - width
149
+ - channels
150
+ info:
151
+ video.height: 480
152
+ video.width: 640
153
+ video.codec: av1
154
+ video.pix_fmt: yuv420p
155
+ video.is_depth_map: false
156
+ video.fps: 30
157
+ video.channels: 3
158
+ has_audio: false
159
+ observation.images.cam_left_wrist_rgb:
160
+ dtype: video
161
+ shape:
162
+ - 480
163
+ - 640
164
+ - 3
165
+ names:
166
+ - height
167
+ - width
168
+ - channels
169
+ info:
170
+ video.height: 480
171
+ video.width: 640
172
+ video.codec: av1
173
+ video.pix_fmt: yuv420p
174
+ video.is_depth_map: false
175
+ video.fps: 30
176
+ video.channels: 3
177
+ has_audio: false
178
+ observation.images.cam_right_wrist_rgb:
179
+ dtype: video
180
+ shape:
181
+ - 480
182
+ - 640
183
+ - 3
184
+ names:
185
+ - height
186
+ - width
187
+ - channels
188
+ info:
189
+ video.height: 480
190
+ video.width: 640
191
+ video.codec: av1
192
+ video.pix_fmt: yuv420p
193
+ video.is_depth_map: false
194
+ video.fps: 30
195
+ video.channels: 3
196
+ has_audio: false
197
+ observation.images.cam_front_rgb:
198
+ dtype: video
199
+ shape:
200
+ - 480
201
+ - 640
202
+ - 3
203
+ names:
204
+ - height
205
+ - width
206
+ - channels
207
+ info:
208
+ video.height: 480
209
+ video.width: 640
210
+ video.codec: av1
211
+ video.pix_fmt: yuv420p
212
+ video.is_depth_map: false
213
+ video.fps: 30
214
+ video.channels: 3
215
+ has_audio: false
216
+ observation.state:
217
+ dtype: float32
218
+ shape:
219
+ - 36
220
+ names:
221
+ - left_arm_joint_1_rad
222
+ - left_arm_joint_2_rad
223
+ - left_arm_joint_3_rad
224
+ - left_arm_joint_4_rad
225
+ - left_arm_joint_5_rad
226
+ - left_arm_joint_6_rad
227
+ - right_arm_joint_1_rad
228
+ - right_arm_joint_2_rad
229
+ - right_arm_joint_3_rad
230
+ - right_arm_joint_4_rad
231
+ - right_arm_joint_5_rad
232
+ - right_arm_joint_6_rad
233
+ - left_hand_joint_1_rad
234
+ - left_hand_joint_2_rad
235
+ - left_hand_joint_3_rad
236
+ - left_hand_joint_4_rad
237
+ - left_hand_joint_5_rad
238
+ - left_hand_joint_6_rad
239
+ - left_hand_joint_7_rad
240
+ - left_hand_joint_8_rad
241
+ - left_hand_joint_9_rad
242
+ - left_hand_joint_10_rad
243
+ - left_hand_joint_11_rad
244
+ - left_hand_joint_12_rad
245
+ - right_hand_joint_1_rad
246
+ - right_hand_joint_2_rad
247
+ - right_hand_joint_3_rad
248
+ - right_hand_joint_4_rad
249
+ - right_hand_joint_5_rad
250
+ - right_hand_joint_6_rad
251
+ - right_hand_joint_7_rad
252
+ - right_hand_joint_8_rad
253
+ - right_hand_joint_9_rad
254
+ - right_hand_joint_10_rad
255
+ - right_hand_joint_11_rad
256
+ - right_hand_joint_12_rad
257
+ action:
258
+ dtype: float32
259
+ shape:
260
+ - 36
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
+ - right_arm_joint_1_rad
269
+ - right_arm_joint_2_rad
270
+ - right_arm_joint_3_rad
271
+ - right_arm_joint_4_rad
272
+ - right_arm_joint_5_rad
273
+ - right_arm_joint_6_rad
274
+ - left_hand_joint_1_rad
275
+ - left_hand_joint_2_rad
276
+ - left_hand_joint_3_rad
277
+ - left_hand_joint_4_rad
278
+ - left_hand_joint_5_rad
279
+ - left_hand_joint_6_rad
280
+ - left_hand_joint_7_rad
281
+ - left_hand_joint_8_rad
282
+ - left_hand_joint_9_rad
283
+ - left_hand_joint_10_rad
284
+ - left_hand_joint_11_rad
285
+ - left_hand_joint_12_rad
286
+ - right_hand_joint_1_rad
287
+ - right_hand_joint_2_rad
288
+ - right_hand_joint_3_rad
289
+ - right_hand_joint_4_rad
290
+ - right_hand_joint_5_rad
291
+ - right_hand_joint_6_rad
292
+ - right_hand_joint_7_rad
293
+ - right_hand_joint_8_rad
294
+ - right_hand_joint_9_rad
295
+ - right_hand_joint_10_rad
296
+ - right_hand_joint_11_rad
297
+ - right_hand_joint_12_rad
298
+ timestamp:
299
+ dtype: float32
300
+ shape:
301
+ - 1
302
+ names: null
303
+ frame_index:
304
+ dtype: int64
305
+ shape:
306
+ - 1
307
+ names: null
308
+ episode_index:
309
+ dtype: int64
310
+ shape:
311
+ - 1
312
+ names: null
313
+ index:
314
+ dtype: int64
315
+ shape:
316
+ - 1
317
+ names: null
318
+ task_index:
319
+ dtype: int64
320
+ shape:
321
+ - 1
322
+ names: null
323
+ subtask_annotation:
324
+ names: null
325
+ shape:
326
+ - 5
327
+ dtype: int32
328
+ scene_annotation:
329
+ names: null
330
+ shape:
331
+ - 1
332
+ dtype: int32
333
+ eef_sim_pose_state:
334
+ names:
335
+ - left_eef_pos_x
336
+ - left_eef_pos_y
337
+ - left_eef_pos_z
338
+ - left_eef_rot_x
339
+ - left_eef_rot_y
340
+ - left_eef_rot_z
341
+ - right_eef_pos_x
342
+ - right_eef_pos_y
343
+ - right_eef_pos_z
344
+ - right_eef_rot_x
345
+ - right_eef_rot_y
346
+ - right_eef_rot_z
347
+ shape:
348
+ - 12
349
+ dtype: float32
350
+ eef_sim_pose_action:
351
+ names:
352
+ - left_eef_pos_x
353
+ - left_eef_pos_y
354
+ - left_eef_pos_z
355
+ - left_eef_rot_x
356
+ - left_eef_rot_y
357
+ - left_eef_rot_z
358
+ - right_eef_pos_x
359
+ - right_eef_pos_y
360
+ - right_eef_pos_z
361
+ - right_eef_rot_x
362
+ - right_eef_rot_y
363
+ - right_eef_rot_z
364
+ shape:
365
+ - 12
366
+ dtype: float32
367
+ eef_direction_state:
368
+ names:
369
+ - left_eef_direction
370
+ - right_eef_direction
371
+ shape:
372
+ - 2
373
+ dtype: int32
374
+ eef_direction_action:
375
+ names:
376
+ - left_eef_direction
377
+ - right_eef_direction
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_velocity_state:
382
+ names:
383
+ - left_eef_velocity
384
+ - right_eef_velocity
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ eef_velocity_action:
389
+ names:
390
+ - left_eef_velocity
391
+ - right_eef_velocity
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_acc_mag_state:
396
+ names:
397
+ - left_eef_acc_mag
398
+ - right_eef_acc_mag
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ eef_acc_mag_action:
403
+ names:
404
+ - left_eef_acc_mag
405
+ - right_eef_acc_mag
406
+ shape:
407
+ - 2
408
+ dtype: int32
409
+ authors:
410
+ contributed_by:
411
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
412
+ dataset_description: This dataset uses an extended format based on LeRobot and is
413
+ fully compatible with LeRobot.
414
+ homepage: https://flagopen.github.io/RoboCOIN/
415
+ paper: https://arxiv.org/abs/2511.17441
416
+ repository: https://github.com/FlagOpen/RoboCOIN
417
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
418
+ us.
419
+ support_info: For technical support, please open an issue on our GitHub repository.
420
+ license_details: apache-2.0
421
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
422
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
423
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
424
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
425
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
426
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
427
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
428
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
429
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
430
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
431
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
432
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
433
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
434
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
435
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
436
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
437
+ additional_citations: 'If you use this dataset, please also consider citing:
438
+
439
+ LeRobot Framework: https://github.com/huggingface/lerobot
440
+
441
+ '
442
+ version_info: Initial Release
443
+ data_path: data/chunk-{id}/episode_{id}.parquet
444
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
445
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_pick_up_and_place_tub.yaml ADDED
@@ -0,0 +1,433 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_pick_up_and_place_tub
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: washbasin
35
+ level1: home_storage
36
+ level2: washbasin
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 washbasin and put it down.
44
+ sub_tasks:
45
+ - subtask: End
46
+ subtask_index: 0
47
+ - subtask: Lift the basin with the left gripper
48
+ subtask_index: 1
49
+ - subtask: Grasp the basin with the left gripper
50
+ subtask_index: 2
51
+ - subtask: Grasp the basin with the right gripper
52
+ subtask_index: 3
53
+ - subtask: Place basin on the table with the right gripper
54
+ subtask_index: 4
55
+ - subtask: Place basin on the table with the left gripper
56
+ subtask_index: 5
57
+ - subtask: Abnormal
58
+ subtask_index: 6
59
+ - subtask: Lift the basin with the right gripper
60
+ subtask_index: 7
61
+ - subtask: 'null'
62
+ subtask_index: 8
63
+ atomic_actions:
64
+ - grasp
65
+ - pick
66
+ - place
67
+ robot_name:
68
+ - Airbot_MMK2
69
+ end_effector_type: five_finger_gripper
70
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
71
+ type information.
72
+ sensor_list:
73
+ - cam_head_rgb
74
+ - cam_left_wrist_rgb
75
+ - cam_right_wrist_rgb
76
+ - cam_front_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
84
+ depth_enabled: false
85
+ coordinate_definition: right-hand-frame
86
+ joint_rotation_dim: radian
87
+ end_rotation_dim: end_rotation_dim
88
+ end_translation_dim: end_translation_dim
89
+ annotations:
90
+ - eef_acc_mag_annotation.jsonl
91
+ - eef_direction_annotation.jsonl
92
+ - eef_velocity_annotation.jsonl
93
+ - gripper_activity_annotation.jsonl
94
+ - gripper_mode_annotation.jsonl
95
+ - scene_annotations.jsonl
96
+ - subtask_annotations.jsonl
97
+ statistics:
98
+ total_episodes: 98
99
+ total_frames: 16632
100
+ fps: 30
101
+ total_tasks: 9
102
+ total_videos: 392
103
+ total_chunks: 1
104
+ chunks_size: 1000
105
+ state_dim: 36
106
+ action_dim: 36
107
+ camera_views: 4
108
+ dataset_size: 607.45 MB
109
+ frame_num: 16632
110
+ dataset_size: 607.45 MB
111
+ data_structure: "Airbot_MMK2_pick_up_and_place_tub_qced_hardlink/\n|-- annotations\n\
112
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
113
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
114
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
115
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
116
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
117
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
118
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
119
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
120
+ | `-- episode_000011.parquet\n| `-- ... (86 more entries)\n|-- meta\n\
121
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
122
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
123
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
124
+ \ `-- observation.images.cam_right_wrist_rgb"
125
+ splits:
126
+ train: 0:97
127
+ features:
128
+ observation.images.cam_head_rgb:
129
+ dtype: video
130
+ shape:
131
+ - 480
132
+ - 640
133
+ - 3
134
+ names:
135
+ - height
136
+ - width
137
+ - channels
138
+ info:
139
+ video.height: 480
140
+ video.width: 640
141
+ video.codec: av1
142
+ video.pix_fmt: yuv420p
143
+ video.is_depth_map: false
144
+ video.fps: 30
145
+ video.channels: 3
146
+ has_audio: false
147
+ observation.images.cam_left_wrist_rgb:
148
+ dtype: video
149
+ shape:
150
+ - 480
151
+ - 640
152
+ - 3
153
+ names:
154
+ - height
155
+ - width
156
+ - channels
157
+ info:
158
+ video.height: 480
159
+ video.width: 640
160
+ video.codec: av1
161
+ video.pix_fmt: yuv420p
162
+ video.is_depth_map: false
163
+ video.fps: 30
164
+ video.channels: 3
165
+ has_audio: false
166
+ observation.images.cam_right_wrist_rgb:
167
+ dtype: video
168
+ shape:
169
+ - 480
170
+ - 640
171
+ - 3
172
+ names:
173
+ - height
174
+ - width
175
+ - channels
176
+ info:
177
+ video.height: 480
178
+ video.width: 640
179
+ video.codec: av1
180
+ video.pix_fmt: yuv420p
181
+ video.is_depth_map: false
182
+ video.fps: 30
183
+ video.channels: 3
184
+ has_audio: false
185
+ observation.images.cam_front_rgb:
186
+ dtype: video
187
+ shape:
188
+ - 480
189
+ - 640
190
+ - 3
191
+ names:
192
+ - height
193
+ - width
194
+ - channels
195
+ info:
196
+ video.height: 480
197
+ video.width: 640
198
+ video.codec: av1
199
+ video.pix_fmt: yuv420p
200
+ video.is_depth_map: false
201
+ video.fps: 30
202
+ video.channels: 3
203
+ has_audio: false
204
+ observation.state:
205
+ dtype: float32
206
+ shape:
207
+ - 36
208
+ names:
209
+ - left_arm_joint_1_rad
210
+ - left_arm_joint_2_rad
211
+ - left_arm_joint_3_rad
212
+ - left_arm_joint_4_rad
213
+ - left_arm_joint_5_rad
214
+ - left_arm_joint_6_rad
215
+ - right_arm_joint_1_rad
216
+ - right_arm_joint_2_rad
217
+ - right_arm_joint_3_rad
218
+ - right_arm_joint_4_rad
219
+ - right_arm_joint_5_rad
220
+ - right_arm_joint_6_rad
221
+ - left_hand_joint_1_rad
222
+ - left_hand_joint_2_rad
223
+ - left_hand_joint_3_rad
224
+ - left_hand_joint_4_rad
225
+ - left_hand_joint_5_rad
226
+ - left_hand_joint_6_rad
227
+ - left_hand_joint_7_rad
228
+ - left_hand_joint_8_rad
229
+ - left_hand_joint_9_rad
230
+ - left_hand_joint_10_rad
231
+ - left_hand_joint_11_rad
232
+ - left_hand_joint_12_rad
233
+ - right_hand_joint_1_rad
234
+ - right_hand_joint_2_rad
235
+ - right_hand_joint_3_rad
236
+ - right_hand_joint_4_rad
237
+ - right_hand_joint_5_rad
238
+ - right_hand_joint_6_rad
239
+ - right_hand_joint_7_rad
240
+ - right_hand_joint_8_rad
241
+ - right_hand_joint_9_rad
242
+ - right_hand_joint_10_rad
243
+ - right_hand_joint_11_rad
244
+ - right_hand_joint_12_rad
245
+ action:
246
+ dtype: float32
247
+ shape:
248
+ - 36
249
+ names:
250
+ - left_arm_joint_1_rad
251
+ - left_arm_joint_2_rad
252
+ - left_arm_joint_3_rad
253
+ - left_arm_joint_4_rad
254
+ - left_arm_joint_5_rad
255
+ - left_arm_joint_6_rad
256
+ - right_arm_joint_1_rad
257
+ - right_arm_joint_2_rad
258
+ - right_arm_joint_3_rad
259
+ - right_arm_joint_4_rad
260
+ - right_arm_joint_5_rad
261
+ - right_arm_joint_6_rad
262
+ - left_hand_joint_1_rad
263
+ - left_hand_joint_2_rad
264
+ - left_hand_joint_3_rad
265
+ - left_hand_joint_4_rad
266
+ - left_hand_joint_5_rad
267
+ - left_hand_joint_6_rad
268
+ - left_hand_joint_7_rad
269
+ - left_hand_joint_8_rad
270
+ - left_hand_joint_9_rad
271
+ - left_hand_joint_10_rad
272
+ - left_hand_joint_11_rad
273
+ - left_hand_joint_12_rad
274
+ - right_hand_joint_1_rad
275
+ - right_hand_joint_2_rad
276
+ - right_hand_joint_3_rad
277
+ - right_hand_joint_4_rad
278
+ - right_hand_joint_5_rad
279
+ - right_hand_joint_6_rad
280
+ - right_hand_joint_7_rad
281
+ - right_hand_joint_8_rad
282
+ - right_hand_joint_9_rad
283
+ - right_hand_joint_10_rad
284
+ - right_hand_joint_11_rad
285
+ - right_hand_joint_12_rad
286
+ timestamp:
287
+ dtype: float32
288
+ shape:
289
+ - 1
290
+ names: null
291
+ frame_index:
292
+ dtype: int64
293
+ shape:
294
+ - 1
295
+ names: null
296
+ episode_index:
297
+ dtype: int64
298
+ shape:
299
+ - 1
300
+ names: null
301
+ index:
302
+ dtype: int64
303
+ shape:
304
+ - 1
305
+ names: null
306
+ task_index:
307
+ dtype: int64
308
+ shape:
309
+ - 1
310
+ names: null
311
+ subtask_annotation:
312
+ names: null
313
+ shape:
314
+ - 5
315
+ dtype: int32
316
+ scene_annotation:
317
+ names: null
318
+ shape:
319
+ - 1
320
+ dtype: int32
321
+ eef_sim_pose_state:
322
+ names:
323
+ - left_eef_pos_x
324
+ - left_eef_pos_y
325
+ - left_eef_pos_z
326
+ - left_eef_rot_x
327
+ - left_eef_rot_y
328
+ - left_eef_rot_z
329
+ - right_eef_pos_x
330
+ - right_eef_pos_y
331
+ - right_eef_pos_z
332
+ - right_eef_rot_x
333
+ - right_eef_rot_y
334
+ - right_eef_rot_z
335
+ shape:
336
+ - 12
337
+ dtype: float32
338
+ eef_sim_pose_action:
339
+ names:
340
+ - left_eef_pos_x
341
+ - left_eef_pos_y
342
+ - left_eef_pos_z
343
+ - left_eef_rot_x
344
+ - left_eef_rot_y
345
+ - left_eef_rot_z
346
+ - right_eef_pos_x
347
+ - right_eef_pos_y
348
+ - right_eef_pos_z
349
+ - right_eef_rot_x
350
+ - right_eef_rot_y
351
+ - right_eef_rot_z
352
+ shape:
353
+ - 12
354
+ dtype: float32
355
+ eef_direction_state:
356
+ names:
357
+ - left_eef_direction
358
+ - right_eef_direction
359
+ shape:
360
+ - 2
361
+ dtype: int32
362
+ eef_direction_action:
363
+ names:
364
+ - left_eef_direction
365
+ - right_eef_direction
366
+ shape:
367
+ - 2
368
+ dtype: int32
369
+ eef_velocity_state:
370
+ names:
371
+ - left_eef_velocity
372
+ - right_eef_velocity
373
+ shape:
374
+ - 2
375
+ dtype: int32
376
+ eef_velocity_action:
377
+ names:
378
+ - left_eef_velocity
379
+ - right_eef_velocity
380
+ shape:
381
+ - 2
382
+ dtype: int32
383
+ eef_acc_mag_state:
384
+ names:
385
+ - left_eef_acc_mag
386
+ - right_eef_acc_mag
387
+ shape:
388
+ - 2
389
+ dtype: int32
390
+ eef_acc_mag_action:
391
+ names:
392
+ - left_eef_acc_mag
393
+ - right_eef_acc_mag
394
+ shape:
395
+ - 2
396
+ dtype: int32
397
+ authors:
398
+ contributed_by:
399
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
400
+ dataset_description: This dataset uses an extended format based on LeRobot and is
401
+ fully compatible with LeRobot.
402
+ homepage: https://flagopen.github.io/RoboCOIN/
403
+ paper: https://arxiv.org/abs/2511.17441
404
+ repository: https://github.com/FlagOpen/RoboCOIN
405
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
406
+ us.
407
+ support_info: For technical support, please open an issue on our GitHub repository.
408
+ license_details: apache-2.0
409
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
410
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
411
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
412
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
413
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
414
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
415
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
416
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
417
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
418
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
419
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
420
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
421
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
422
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
423
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
424
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
425
+ additional_citations: 'If you use this dataset, please also consider citing:
426
+
427
+ LeRobot Framework: https://github.com/huggingface/lerobot
428
+
429
+ '
430
+ version_info: Initial Release
431
+ data_path: data/chunk-{id}/episode_{id}.parquet
432
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
433
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_play_toy_piano.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_play_toy_piano
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: living_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: furniture
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: toy_piano
41
+ level1: toy
42
+ level2: toy_piano
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 piano in the middle with your left hand and play the piano with your
50
+ right hand.
51
+ sub_tasks:
52
+ - subtask: Play the toy piano with the right gripper
53
+ subtask_index: 0
54
+ - subtask: Place the toy piano on the table with the left gripper
55
+ subtask_index: 1
56
+ - subtask: End
57
+ subtask_index: 2
58
+ - subtask: Grasp the toy piano with the left gripper
59
+ subtask_index: 3
60
+ - subtask: Lift the toy piano with the left gripper
61
+ subtask_index: 4
62
+ - subtask: 'null'
63
+ subtask_index: 5
64
+ atomic_actions:
65
+ - grasp
66
+ - pick
67
+ - place
68
+ - press
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: 7683
102
+ fps: 30
103
+ total_tasks: 6
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: 230.15 MB
111
+ frame_num: 7683
112
+ dataset_size: 230.15 MB
113
+ data_structure: "Airbot_MMK2_play_toy_piano_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_prepare_tea.yaml ADDED
@@ -0,0 +1,450 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_prepare_tea
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: small_teapot
35
+ level1: teacus
36
+ level2: small_teapot
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: inner_pot_of_the_teapot
41
+ level1: kitchen_supplies
42
+ level2: inner_pot_of_the_teapot
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: tea_canister
47
+ level1: tea_bags
48
+ level2: tea_canister
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: tea
53
+ level1: tea_bags
54
+ level2: tea
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
59
+ the operation type information.
60
+ task_instruction:
61
+ - with the right hand, take out the tea leaves from the tea canister and put them
62
+ into the inner pot of the teapot. with the left hand, put the inner pot of the teapot
63
+ into the teapot and then close the lid of the teapot.
64
+ sub_tasks:
65
+ - subtask: Place the tea leaves into the tea strainer with the right gripper
66
+ subtask_index: 0
67
+ - subtask: End
68
+ subtask_index: 1
69
+ - subtask: Close the teapot lid with the left gripper
70
+ subtask_index: 2
71
+ - subtask: Grasp the tea strainer with the left gripper
72
+ subtask_index: 3
73
+ - subtask: Abnormal
74
+ subtask_index: 4
75
+ - subtask: Place the tea strainer into the teapot with the left gripper
76
+ subtask_index: 5
77
+ - subtask: Grasp the tea leaves with the right gripper
78
+ subtask_index: 6
79
+ - subtask: 'null'
80
+ subtask_index: 7
81
+ atomic_actions:
82
+ - grasp
83
+ - pick
84
+ - place
85
+ robot_name:
86
+ - Airbot_MMK2
87
+ end_effector_type: five_finger_gripper
88
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
89
+ type information.
90
+ sensor_list:
91
+ - cam_head_rgb
92
+ - cam_left_wrist_rgb
93
+ - cam_right_wrist_rgb
94
+ - cam_front_rgb
95
+ came_info:
96
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
97
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
98
+ pix_fmt=yuv420p
99
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
100
+ pix_fmt=yuv420p
101
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
102
+ depth_enabled: false
103
+ coordinate_definition: right-hand-frame
104
+ joint_rotation_dim: radian
105
+ end_rotation_dim: end_rotation_dim
106
+ end_translation_dim: end_translation_dim
107
+ annotations:
108
+ - eef_acc_mag_annotation.jsonl
109
+ - eef_direction_annotation.jsonl
110
+ - eef_velocity_annotation.jsonl
111
+ - gripper_activity_annotation.jsonl
112
+ - gripper_mode_annotation.jsonl
113
+ - scene_annotations.jsonl
114
+ - subtask_annotations.jsonl
115
+ statistics:
116
+ total_episodes: 89
117
+ total_frames: 70954
118
+ fps: 30
119
+ total_tasks: 8
120
+ total_videos: 356
121
+ total_chunks: 1
122
+ chunks_size: 1000
123
+ state_dim: 36
124
+ action_dim: 36
125
+ camera_views: 4
126
+ dataset_size: 2.99 GB
127
+ frame_num: 70954
128
+ dataset_size: 2.99 GB
129
+ data_structure: "Airbot_MMK2_prepare_tea_qced_hardlink/\n|-- annotations\n| |--\
130
+ \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\
131
+ \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \
132
+ \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\
133
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
134
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
135
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
136
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
137
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
138
+ | `-- ... (77 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
139
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
140
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
141
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
142
+ splits:
143
+ train: 0:88
144
+ features:
145
+ observation.images.cam_head_rgb:
146
+ dtype: video
147
+ shape:
148
+ - 480
149
+ - 640
150
+ - 3
151
+ names:
152
+ - height
153
+ - width
154
+ - channels
155
+ info:
156
+ video.height: 480
157
+ video.width: 640
158
+ video.codec: av1
159
+ video.pix_fmt: yuv420p
160
+ video.is_depth_map: false
161
+ video.fps: 30
162
+ video.channels: 3
163
+ has_audio: false
164
+ observation.images.cam_left_wrist_rgb:
165
+ dtype: video
166
+ shape:
167
+ - 480
168
+ - 640
169
+ - 3
170
+ names:
171
+ - height
172
+ - width
173
+ - channels
174
+ info:
175
+ video.height: 480
176
+ video.width: 640
177
+ video.codec: av1
178
+ video.pix_fmt: yuv420p
179
+ video.is_depth_map: false
180
+ video.fps: 30
181
+ video.channels: 3
182
+ has_audio: false
183
+ observation.images.cam_right_wrist_rgb:
184
+ dtype: video
185
+ shape:
186
+ - 480
187
+ - 640
188
+ - 3
189
+ names:
190
+ - height
191
+ - width
192
+ - channels
193
+ info:
194
+ video.height: 480
195
+ video.width: 640
196
+ video.codec: av1
197
+ video.pix_fmt: yuv420p
198
+ video.is_depth_map: false
199
+ video.fps: 30
200
+ video.channels: 3
201
+ has_audio: false
202
+ observation.images.cam_front_rgb:
203
+ dtype: video
204
+ shape:
205
+ - 480
206
+ - 640
207
+ - 3
208
+ names:
209
+ - height
210
+ - width
211
+ - channels
212
+ info:
213
+ video.height: 480
214
+ video.width: 640
215
+ video.codec: av1
216
+ video.pix_fmt: yuv420p
217
+ video.is_depth_map: false
218
+ video.fps: 30
219
+ video.channels: 3
220
+ has_audio: false
221
+ observation.state:
222
+ dtype: float32
223
+ shape:
224
+ - 36
225
+ names:
226
+ - left_arm_joint_1_rad
227
+ - left_arm_joint_2_rad
228
+ - left_arm_joint_3_rad
229
+ - left_arm_joint_4_rad
230
+ - left_arm_joint_5_rad
231
+ - left_arm_joint_6_rad
232
+ - right_arm_joint_1_rad
233
+ - right_arm_joint_2_rad
234
+ - right_arm_joint_3_rad
235
+ - right_arm_joint_4_rad
236
+ - right_arm_joint_5_rad
237
+ - right_arm_joint_6_rad
238
+ - left_hand_joint_1_rad
239
+ - left_hand_joint_2_rad
240
+ - left_hand_joint_3_rad
241
+ - left_hand_joint_4_rad
242
+ - left_hand_joint_5_rad
243
+ - left_hand_joint_6_rad
244
+ - left_hand_joint_7_rad
245
+ - left_hand_joint_8_rad
246
+ - left_hand_joint_9_rad
247
+ - left_hand_joint_10_rad
248
+ - left_hand_joint_11_rad
249
+ - left_hand_joint_12_rad
250
+ - right_hand_joint_1_rad
251
+ - right_hand_joint_2_rad
252
+ - right_hand_joint_3_rad
253
+ - right_hand_joint_4_rad
254
+ - right_hand_joint_5_rad
255
+ - right_hand_joint_6_rad
256
+ - right_hand_joint_7_rad
257
+ - right_hand_joint_8_rad
258
+ - right_hand_joint_9_rad
259
+ - right_hand_joint_10_rad
260
+ - right_hand_joint_11_rad
261
+ - right_hand_joint_12_rad
262
+ action:
263
+ dtype: float32
264
+ shape:
265
+ - 36
266
+ names:
267
+ - left_arm_joint_1_rad
268
+ - left_arm_joint_2_rad
269
+ - left_arm_joint_3_rad
270
+ - left_arm_joint_4_rad
271
+ - left_arm_joint_5_rad
272
+ - left_arm_joint_6_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
+ - left_hand_joint_1_rad
280
+ - left_hand_joint_2_rad
281
+ - left_hand_joint_3_rad
282
+ - left_hand_joint_4_rad
283
+ - left_hand_joint_5_rad
284
+ - left_hand_joint_6_rad
285
+ - left_hand_joint_7_rad
286
+ - left_hand_joint_8_rad
287
+ - left_hand_joint_9_rad
288
+ - left_hand_joint_10_rad
289
+ - left_hand_joint_11_rad
290
+ - left_hand_joint_12_rad
291
+ - right_hand_joint_1_rad
292
+ - right_hand_joint_2_rad
293
+ - right_hand_joint_3_rad
294
+ - right_hand_joint_4_rad
295
+ - right_hand_joint_5_rad
296
+ - right_hand_joint_6_rad
297
+ - right_hand_joint_7_rad
298
+ - right_hand_joint_8_rad
299
+ - right_hand_joint_9_rad
300
+ - right_hand_joint_10_rad
301
+ - right_hand_joint_11_rad
302
+ - right_hand_joint_12_rad
303
+ timestamp:
304
+ dtype: float32
305
+ shape:
306
+ - 1
307
+ names: null
308
+ frame_index:
309
+ dtype: int64
310
+ shape:
311
+ - 1
312
+ names: null
313
+ episode_index:
314
+ dtype: int64
315
+ shape:
316
+ - 1
317
+ names: null
318
+ index:
319
+ dtype: int64
320
+ shape:
321
+ - 1
322
+ names: null
323
+ task_index:
324
+ dtype: int64
325
+ shape:
326
+ - 1
327
+ names: null
328
+ subtask_annotation:
329
+ names: null
330
+ shape:
331
+ - 5
332
+ dtype: int32
333
+ scene_annotation:
334
+ names: null
335
+ shape:
336
+ - 1
337
+ dtype: int32
338
+ eef_sim_pose_state:
339
+ names:
340
+ - left_eef_pos_x
341
+ - left_eef_pos_y
342
+ - left_eef_pos_z
343
+ - left_eef_rot_x
344
+ - left_eef_rot_y
345
+ - left_eef_rot_z
346
+ - right_eef_pos_x
347
+ - right_eef_pos_y
348
+ - right_eef_pos_z
349
+ - right_eef_rot_x
350
+ - right_eef_rot_y
351
+ - right_eef_rot_z
352
+ shape:
353
+ - 12
354
+ dtype: float32
355
+ eef_sim_pose_action:
356
+ names:
357
+ - left_eef_pos_x
358
+ - left_eef_pos_y
359
+ - left_eef_pos_z
360
+ - left_eef_rot_x
361
+ - left_eef_rot_y
362
+ - left_eef_rot_z
363
+ - right_eef_pos_x
364
+ - right_eef_pos_y
365
+ - right_eef_pos_z
366
+ - right_eef_rot_x
367
+ - right_eef_rot_y
368
+ - right_eef_rot_z
369
+ shape:
370
+ - 12
371
+ dtype: float32
372
+ eef_direction_state:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ shape:
377
+ - 2
378
+ dtype: int32
379
+ eef_direction_action:
380
+ names:
381
+ - left_eef_direction
382
+ - right_eef_direction
383
+ shape:
384
+ - 2
385
+ dtype: int32
386
+ eef_velocity_state:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ shape:
391
+ - 2
392
+ dtype: int32
393
+ eef_velocity_action:
394
+ names:
395
+ - left_eef_velocity
396
+ - right_eef_velocity
397
+ shape:
398
+ - 2
399
+ dtype: int32
400
+ eef_acc_mag_state:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ eef_acc_mag_action:
408
+ names:
409
+ - left_eef_acc_mag
410
+ - right_eef_acc_mag
411
+ shape:
412
+ - 2
413
+ dtype: int32
414
+ authors:
415
+ contributed_by:
416
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
417
+ dataset_description: This dataset uses an extended format based on LeRobot and is
418
+ fully compatible with LeRobot.
419
+ homepage: https://flagopen.github.io/RoboCOIN/
420
+ paper: https://arxiv.org/abs/2511.17441
421
+ repository: https://github.com/FlagOpen/RoboCOIN
422
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
423
+ us.
424
+ support_info: For technical support, please open an issue on our GitHub repository.
425
+ license_details: apache-2.0
426
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
427
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
428
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
429
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
430
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
431
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
432
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
433
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
434
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
435
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
436
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
437
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
438
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
439
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
440
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
441
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
442
+ additional_citations: 'If you use this dataset, please also consider citing:
443
+
444
+ LeRobot Framework: https://github.com/huggingface/lerobot
445
+
446
+ '
447
+ version_info: Initial Release
448
+ data_path: data/chunk-{id}/episode_{id}.parquet
449
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
450
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_push_away_book.yaml ADDED
@@ -0,0 +1,424 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_push_away_book
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: study_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: book
35
+ level1: stationery
36
+ level2: book
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
+ - pull out a book by hand.
44
+ sub_tasks:
45
+ - subtask: End
46
+ subtask_index: 0
47
+ - subtask: Abnormal
48
+ subtask_index: 1
49
+ - subtask: Lay the book down with the right gripper
50
+ subtask_index: 2
51
+ - subtask: Hold the book with the right gripper
52
+ subtask_index: 3
53
+ - subtask: 'null'
54
+ subtask_index: 4
55
+ atomic_actions:
56
+ - pinch
57
+ - clip
58
+ - place
59
+ robot_name:
60
+ - Airbot_MMK2
61
+ end_effector_type: five_finger_gripper
62
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
63
+ type information.
64
+ sensor_list:
65
+ - cam_head_rgb
66
+ - cam_left_wrist_rgb
67
+ - cam_right_wrist_rgb
68
+ - cam_front_rgb
69
+ came_info:
70
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
71
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
72
+ pix_fmt=yuv420p
73
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
74
+ pix_fmt=yuv420p
75
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
76
+ depth_enabled: false
77
+ coordinate_definition: right-hand-frame
78
+ joint_rotation_dim: radian
79
+ end_rotation_dim: end_rotation_dim
80
+ end_translation_dim: end_translation_dim
81
+ annotations:
82
+ - eef_acc_mag_annotation.jsonl
83
+ - eef_direction_annotation.jsonl
84
+ - eef_velocity_annotation.jsonl
85
+ - gripper_activity_annotation.jsonl
86
+ - gripper_mode_annotation.jsonl
87
+ - scene_annotations.jsonl
88
+ - subtask_annotations.jsonl
89
+ statistics:
90
+ total_episodes: 244
91
+ total_frames: 36575
92
+ fps: 30
93
+ total_tasks: 5
94
+ total_videos: 976
95
+ total_chunks: 1
96
+ chunks_size: 1000
97
+ state_dim: 36
98
+ action_dim: 36
99
+ camera_views: 4
100
+ dataset_size: 1.40 GB
101
+ frame_num: 36575
102
+ dataset_size: 1.40 GB
103
+ data_structure: "Airbot_MMK2_push_away_book_qced_hardlink/\n|-- annotations\n| |--\
104
+ \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\
105
+ \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \
106
+ \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\
107
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
108
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
109
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
110
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
111
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
112
+ | `-- ... (232 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
113
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
114
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
115
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
116
+ splits:
117
+ train: 0:243
118
+ features:
119
+ observation.images.cam_head_rgb:
120
+ dtype: video
121
+ shape:
122
+ - 480
123
+ - 640
124
+ - 3
125
+ names:
126
+ - height
127
+ - width
128
+ - channels
129
+ info:
130
+ video.height: 480
131
+ video.width: 640
132
+ video.codec: av1
133
+ video.pix_fmt: yuv420p
134
+ video.is_depth_map: false
135
+ video.fps: 30
136
+ video.channels: 3
137
+ has_audio: false
138
+ observation.images.cam_left_wrist_rgb:
139
+ dtype: video
140
+ shape:
141
+ - 480
142
+ - 640
143
+ - 3
144
+ names:
145
+ - height
146
+ - width
147
+ - channels
148
+ info:
149
+ video.height: 480
150
+ video.width: 640
151
+ video.codec: av1
152
+ video.pix_fmt: yuv420p
153
+ video.is_depth_map: false
154
+ video.fps: 30
155
+ video.channels: 3
156
+ has_audio: false
157
+ observation.images.cam_right_wrist_rgb:
158
+ dtype: video
159
+ shape:
160
+ - 480
161
+ - 640
162
+ - 3
163
+ names:
164
+ - height
165
+ - width
166
+ - channels
167
+ info:
168
+ video.height: 480
169
+ video.width: 640
170
+ video.codec: av1
171
+ video.pix_fmt: yuv420p
172
+ video.is_depth_map: false
173
+ video.fps: 30
174
+ video.channels: 3
175
+ has_audio: false
176
+ observation.images.cam_front_rgb:
177
+ dtype: video
178
+ shape:
179
+ - 480
180
+ - 640
181
+ - 3
182
+ names:
183
+ - height
184
+ - width
185
+ - channels
186
+ info:
187
+ video.height: 480
188
+ video.width: 640
189
+ video.codec: av1
190
+ video.pix_fmt: yuv420p
191
+ video.is_depth_map: false
192
+ video.fps: 30
193
+ video.channels: 3
194
+ has_audio: false
195
+ observation.state:
196
+ dtype: float32
197
+ shape:
198
+ - 36
199
+ names:
200
+ - left_arm_joint_1_rad
201
+ - left_arm_joint_2_rad
202
+ - left_arm_joint_3_rad
203
+ - left_arm_joint_4_rad
204
+ - left_arm_joint_5_rad
205
+ - left_arm_joint_6_rad
206
+ - right_arm_joint_1_rad
207
+ - right_arm_joint_2_rad
208
+ - right_arm_joint_3_rad
209
+ - right_arm_joint_4_rad
210
+ - right_arm_joint_5_rad
211
+ - right_arm_joint_6_rad
212
+ - left_hand_joint_1_rad
213
+ - left_hand_joint_2_rad
214
+ - left_hand_joint_3_rad
215
+ - left_hand_joint_4_rad
216
+ - left_hand_joint_5_rad
217
+ - left_hand_joint_6_rad
218
+ - left_hand_joint_7_rad
219
+ - left_hand_joint_8_rad
220
+ - left_hand_joint_9_rad
221
+ - left_hand_joint_10_rad
222
+ - left_hand_joint_11_rad
223
+ - left_hand_joint_12_rad
224
+ - right_hand_joint_1_rad
225
+ - right_hand_joint_2_rad
226
+ - right_hand_joint_3_rad
227
+ - right_hand_joint_4_rad
228
+ - right_hand_joint_5_rad
229
+ - right_hand_joint_6_rad
230
+ - right_hand_joint_7_rad
231
+ - right_hand_joint_8_rad
232
+ - right_hand_joint_9_rad
233
+ - right_hand_joint_10_rad
234
+ - right_hand_joint_11_rad
235
+ - right_hand_joint_12_rad
236
+ action:
237
+ dtype: float32
238
+ shape:
239
+ - 36
240
+ names:
241
+ - left_arm_joint_1_rad
242
+ - left_arm_joint_2_rad
243
+ - left_arm_joint_3_rad
244
+ - left_arm_joint_4_rad
245
+ - left_arm_joint_5_rad
246
+ - left_arm_joint_6_rad
247
+ - right_arm_joint_1_rad
248
+ - right_arm_joint_2_rad
249
+ - right_arm_joint_3_rad
250
+ - right_arm_joint_4_rad
251
+ - right_arm_joint_5_rad
252
+ - right_arm_joint_6_rad
253
+ - left_hand_joint_1_rad
254
+ - left_hand_joint_2_rad
255
+ - left_hand_joint_3_rad
256
+ - left_hand_joint_4_rad
257
+ - left_hand_joint_5_rad
258
+ - left_hand_joint_6_rad
259
+ - left_hand_joint_7_rad
260
+ - left_hand_joint_8_rad
261
+ - left_hand_joint_9_rad
262
+ - left_hand_joint_10_rad
263
+ - left_hand_joint_11_rad
264
+ - left_hand_joint_12_rad
265
+ - right_hand_joint_1_rad
266
+ - right_hand_joint_2_rad
267
+ - right_hand_joint_3_rad
268
+ - right_hand_joint_4_rad
269
+ - right_hand_joint_5_rad
270
+ - right_hand_joint_6_rad
271
+ - right_hand_joint_7_rad
272
+ - right_hand_joint_8_rad
273
+ - right_hand_joint_9_rad
274
+ - right_hand_joint_10_rad
275
+ - right_hand_joint_11_rad
276
+ - right_hand_joint_12_rad
277
+ timestamp:
278
+ dtype: float32
279
+ shape:
280
+ - 1
281
+ names: null
282
+ frame_index:
283
+ dtype: int64
284
+ shape:
285
+ - 1
286
+ names: null
287
+ episode_index:
288
+ dtype: int64
289
+ shape:
290
+ - 1
291
+ names: null
292
+ index:
293
+ dtype: int64
294
+ shape:
295
+ - 1
296
+ names: null
297
+ task_index:
298
+ dtype: int64
299
+ shape:
300
+ - 1
301
+ names: null
302
+ subtask_annotation:
303
+ names: null
304
+ shape:
305
+ - 5
306
+ dtype: int32
307
+ scene_annotation:
308
+ names: null
309
+ shape:
310
+ - 1
311
+ dtype: int32
312
+ eef_sim_pose_state:
313
+ names:
314
+ - left_eef_pos_x
315
+ - left_eef_pos_y
316
+ - left_eef_pos_z
317
+ - left_eef_rot_x
318
+ - left_eef_rot_y
319
+ - left_eef_rot_z
320
+ - right_eef_pos_x
321
+ - right_eef_pos_y
322
+ - right_eef_pos_z
323
+ - right_eef_rot_x
324
+ - right_eef_rot_y
325
+ - right_eef_rot_z
326
+ shape:
327
+ - 12
328
+ dtype: float32
329
+ eef_sim_pose_action:
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_direction_state:
347
+ names:
348
+ - left_eef_direction
349
+ - right_eef_direction
350
+ shape:
351
+ - 2
352
+ dtype: int32
353
+ eef_direction_action:
354
+ names:
355
+ - left_eef_direction
356
+ - right_eef_direction
357
+ shape:
358
+ - 2
359
+ dtype: int32
360
+ eef_velocity_state:
361
+ names:
362
+ - left_eef_velocity
363
+ - right_eef_velocity
364
+ shape:
365
+ - 2
366
+ dtype: int32
367
+ eef_velocity_action:
368
+ names:
369
+ - left_eef_velocity
370
+ - right_eef_velocity
371
+ shape:
372
+ - 2
373
+ dtype: int32
374
+ eef_acc_mag_state:
375
+ names:
376
+ - left_eef_acc_mag
377
+ - right_eef_acc_mag
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_acc_mag_action:
382
+ names:
383
+ - left_eef_acc_mag
384
+ - right_eef_acc_mag
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ authors:
389
+ contributed_by:
390
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
391
+ dataset_description: This dataset uses an extended format based on LeRobot and is
392
+ fully compatible with LeRobot.
393
+ homepage: https://flagopen.github.io/RoboCOIN/
394
+ paper: https://arxiv.org/abs/2511.17441
395
+ repository: https://github.com/FlagOpen/RoboCOIN
396
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
397
+ us.
398
+ support_info: For technical support, please open an issue on our GitHub repository.
399
+ license_details: apache-2.0
400
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
401
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
402
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
403
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
404
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
405
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
406
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
407
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
408
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
409
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
410
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
411
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
412
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
413
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
414
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
415
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
416
+ additional_citations: 'If you use this dataset, please also consider citing:
417
+
418
+ LeRobot Framework: https://github.com/huggingface/lerobot
419
+
420
+ '
421
+ version_info: Initial Release
422
+ data_path: data/chunk-{id}/episode_{id}.parquet
423
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
424
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_rotate_cube_face.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_rotate_cube_face
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: study_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: rubik's_cube
35
+ level1: toys
36
+ level2: rubik's_cube
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 rubik's cube with left hand, rotate it once with right hand, and then
44
+ put it down with left hand.
45
+ sub_tasks:
46
+ - subtask: Adjust the rubik's cube with the left gripper
47
+ subtask_index: 0
48
+ - subtask: Grasp the rubik's cube with the left gripper
49
+ subtask_index: 1
50
+ - subtask: End
51
+ subtask_index: 2
52
+ - subtask: Place the rubik's cube on the table with the left gripper
53
+ subtask_index: 3
54
+ - subtask: Move the rightmost combination block of the rubik's cube with the right
55
+ gripper
56
+ subtask_index: 4
57
+ - subtask: Abnormal
58
+ subtask_index: 5
59
+ - subtask: Lift up the rubik's cube with the left gripper
60
+ subtask_index: 6
61
+ - subtask: 'null'
62
+ subtask_index: 7
63
+ atomic_actions:
64
+ - grasp
65
+ - pick
66
+ - place
67
+ - filp
68
+ robot_name:
69
+ - Airbot_MMK2
70
+ end_effector_type: five_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
+ - cam_front_rgb
78
+ came_info:
79
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
80
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
81
+ pix_fmt=yuv420p
82
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
83
+ pix_fmt=yuv420p
84
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
85
+ depth_enabled: false
86
+ coordinate_definition: right-hand-frame
87
+ joint_rotation_dim: radian
88
+ end_rotation_dim: end_rotation_dim
89
+ end_translation_dim: end_translation_dim
90
+ annotations:
91
+ - eef_acc_mag_annotation.jsonl
92
+ - eef_direction_annotation.jsonl
93
+ - eef_velocity_annotation.jsonl
94
+ - gripper_activity_annotation.jsonl
95
+ - gripper_mode_annotation.jsonl
96
+ - scene_annotations.jsonl
97
+ - subtask_annotations.jsonl
98
+ statistics:
99
+ total_episodes: 145
100
+ total_frames: 55057
101
+ fps: 30
102
+ total_tasks: 8
103
+ total_videos: 580
104
+ total_chunks: 1
105
+ chunks_size: 1000
106
+ state_dim: 36
107
+ action_dim: 36
108
+ camera_views: 4
109
+ dataset_size: 2.13 GB
110
+ frame_num: 55057
111
+ dataset_size: 2.13 GB
112
+ data_structure: "Airbot_MMK2_rotate_cube_face_qced_hardlink/\n|-- annotations\n| \
113
+ \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| \
114
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
115
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
116
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
117
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
118
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
119
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
120
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
121
+ | `-- episode_000011.parquet\n| `-- ... (133 more entries)\n|-- meta\n\
122
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
123
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
124
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
125
+ \ `-- observation.images.cam_right_wrist_rgb"
126
+ splits:
127
+ train: 0:144
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_storage_apple_orange.yaml ADDED
@@ -0,0 +1,442 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Airbot_MMK2_storage_apple_orange
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: scene_level1
27
+ level2: scene_level2
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: apple
35
+ level1: fruits
36
+ level2: apple
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: orange
41
+ level1: fruits
42
+ level2: orange
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: storage_box
47
+ level1: storage_utensils
48
+ level2: storage_box
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 apple with left hand and put it in the storage box, and pick up the
56
+ orange with right hand and put it in the storage box.
57
+ sub_tasks:
58
+ - subtask: Grasp the orange with the right gripper
59
+ subtask_index: 0
60
+ - subtask: End
61
+ subtask_index: 1
62
+ - subtask: Place the orange into the right compartment of the storage box with the
63
+ right gripper
64
+ subtask_index: 2
65
+ - subtask: Grasp the apple with the left gripper
66
+ subtask_index: 3
67
+ - subtask: Place the apple into the left compartment of the storage box with the
68
+ left gripper
69
+ subtask_index: 4
70
+ - subtask: 'null'
71
+ subtask_index: 5
72
+ atomic_actions:
73
+ - grasp
74
+ - pick
75
+ - place
76
+ robot_name:
77
+ - Airbot_MMK2
78
+ end_effector_type: five_finger_gripper
79
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
80
+ type information.
81
+ sensor_list:
82
+ - cam_head_rgb
83
+ - cam_left_wrist_rgb
84
+ - cam_right_wrist_rgb
85
+ - cam_front_rgb
86
+ came_info:
87
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
93
+ depth_enabled: false
94
+ coordinate_definition: right-hand-frame
95
+ joint_rotation_dim: radian
96
+ end_rotation_dim: end_rotation_dim
97
+ end_translation_dim: end_translation_dim
98
+ annotations:
99
+ - eef_acc_mag_annotation.jsonl
100
+ - eef_direction_annotation.jsonl
101
+ - eef_velocity_annotation.jsonl
102
+ - gripper_activity_annotation.jsonl
103
+ - gripper_mode_annotation.jsonl
104
+ - scene_annotations.jsonl
105
+ - subtask_annotations.jsonl
106
+ statistics:
107
+ total_episodes: 41
108
+ total_frames: 6657
109
+ fps: 30
110
+ total_tasks: 6
111
+ total_videos: 164
112
+ total_chunks: 1
113
+ chunks_size: 1000
114
+ state_dim: 36
115
+ action_dim: 36
116
+ camera_views: 4
117
+ dataset_size: 176.34 MB
118
+ frame_num: 6657
119
+ dataset_size: 176.34 MB
120
+ data_structure: "Airbot_MMK2_storage_apple_orange_qced_hardlink/\n|-- annotations\n\
121
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
122
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
123
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
124
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
125
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
126
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
127
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
128
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
129
+ | `-- episode_000011.parquet\n| `-- ... (29 more entries)\n|-- meta\n\
130
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
131
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
132
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
133
+ \ `-- observation.images.cam_right_wrist_rgb"
134
+ splits:
135
+ train: 0:40
136
+ features:
137
+ observation.images.cam_head_rgb:
138
+ dtype: video
139
+ shape:
140
+ - 480
141
+ - 640
142
+ - 3
143
+ names:
144
+ - height
145
+ - width
146
+ - channels
147
+ info:
148
+ video.height: 480
149
+ video.width: 640
150
+ video.codec: av1
151
+ video.pix_fmt: yuv420p
152
+ video.is_depth_map: false
153
+ video.fps: 30
154
+ video.channels: 3
155
+ has_audio: false
156
+ observation.images.cam_left_wrist_rgb:
157
+ dtype: video
158
+ shape:
159
+ - 480
160
+ - 640
161
+ - 3
162
+ names:
163
+ - height
164
+ - width
165
+ - channels
166
+ info:
167
+ video.height: 480
168
+ video.width: 640
169
+ video.codec: av1
170
+ video.pix_fmt: yuv420p
171
+ video.is_depth_map: false
172
+ video.fps: 30
173
+ video.channels: 3
174
+ has_audio: false
175
+ observation.images.cam_right_wrist_rgb:
176
+ dtype: video
177
+ shape:
178
+ - 480
179
+ - 640
180
+ - 3
181
+ names:
182
+ - height
183
+ - width
184
+ - channels
185
+ info:
186
+ video.height: 480
187
+ video.width: 640
188
+ video.codec: av1
189
+ video.pix_fmt: yuv420p
190
+ video.is_depth_map: false
191
+ video.fps: 30
192
+ video.channels: 3
193
+ has_audio: false
194
+ observation.images.cam_front_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.state:
214
+ dtype: float32
215
+ shape:
216
+ - 36
217
+ names:
218
+ - left_arm_joint_1_rad
219
+ - left_arm_joint_2_rad
220
+ - left_arm_joint_3_rad
221
+ - left_arm_joint_4_rad
222
+ - left_arm_joint_5_rad
223
+ - left_arm_joint_6_rad
224
+ - right_arm_joint_1_rad
225
+ - right_arm_joint_2_rad
226
+ - right_arm_joint_3_rad
227
+ - right_arm_joint_4_rad
228
+ - right_arm_joint_5_rad
229
+ - right_arm_joint_6_rad
230
+ - left_hand_joint_1_rad
231
+ - left_hand_joint_2_rad
232
+ - left_hand_joint_3_rad
233
+ - left_hand_joint_4_rad
234
+ - left_hand_joint_5_rad
235
+ - left_hand_joint_6_rad
236
+ - left_hand_joint_7_rad
237
+ - left_hand_joint_8_rad
238
+ - left_hand_joint_9_rad
239
+ - left_hand_joint_10_rad
240
+ - left_hand_joint_11_rad
241
+ - left_hand_joint_12_rad
242
+ - right_hand_joint_1_rad
243
+ - right_hand_joint_2_rad
244
+ - right_hand_joint_3_rad
245
+ - right_hand_joint_4_rad
246
+ - right_hand_joint_5_rad
247
+ - right_hand_joint_6_rad
248
+ - right_hand_joint_7_rad
249
+ - right_hand_joint_8_rad
250
+ - right_hand_joint_9_rad
251
+ - right_hand_joint_10_rad
252
+ - right_hand_joint_11_rad
253
+ - right_hand_joint_12_rad
254
+ action:
255
+ dtype: float32
256
+ shape:
257
+ - 36
258
+ names:
259
+ - left_arm_joint_1_rad
260
+ - left_arm_joint_2_rad
261
+ - left_arm_joint_3_rad
262
+ - left_arm_joint_4_rad
263
+ - left_arm_joint_5_rad
264
+ - left_arm_joint_6_rad
265
+ - right_arm_joint_1_rad
266
+ - right_arm_joint_2_rad
267
+ - right_arm_joint_3_rad
268
+ - right_arm_joint_4_rad
269
+ - right_arm_joint_5_rad
270
+ - right_arm_joint_6_rad
271
+ - left_hand_joint_1_rad
272
+ - left_hand_joint_2_rad
273
+ - left_hand_joint_3_rad
274
+ - left_hand_joint_4_rad
275
+ - left_hand_joint_5_rad
276
+ - left_hand_joint_6_rad
277
+ - left_hand_joint_7_rad
278
+ - left_hand_joint_8_rad
279
+ - left_hand_joint_9_rad
280
+ - left_hand_joint_10_rad
281
+ - left_hand_joint_11_rad
282
+ - left_hand_joint_12_rad
283
+ - right_hand_joint_1_rad
284
+ - right_hand_joint_2_rad
285
+ - right_hand_joint_3_rad
286
+ - right_hand_joint_4_rad
287
+ - right_hand_joint_5_rad
288
+ - right_hand_joint_6_rad
289
+ - right_hand_joint_7_rad
290
+ - right_hand_joint_8_rad
291
+ - right_hand_joint_9_rad
292
+ - right_hand_joint_10_rad
293
+ - right_hand_joint_11_rad
294
+ - right_hand_joint_12_rad
295
+ timestamp:
296
+ dtype: float32
297
+ shape:
298
+ - 1
299
+ names: null
300
+ frame_index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ episode_index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ task_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ subtask_annotation:
321
+ names: null
322
+ shape:
323
+ - 5
324
+ dtype: int32
325
+ scene_annotation:
326
+ names: null
327
+ shape:
328
+ - 1
329
+ dtype: int32
330
+ eef_sim_pose_state:
331
+ names:
332
+ - left_eef_pos_x
333
+ - left_eef_pos_y
334
+ - left_eef_pos_z
335
+ - left_eef_rot_x
336
+ - left_eef_rot_y
337
+ - left_eef_rot_z
338
+ - right_eef_pos_x
339
+ - right_eef_pos_y
340
+ - right_eef_pos_z
341
+ - right_eef_rot_x
342
+ - right_eef_rot_y
343
+ - right_eef_rot_z
344
+ shape:
345
+ - 12
346
+ dtype: float32
347
+ eef_sim_pose_action:
348
+ names:
349
+ - left_eef_pos_x
350
+ - left_eef_pos_y
351
+ - left_eef_pos_z
352
+ - left_eef_rot_x
353
+ - left_eef_rot_y
354
+ - left_eef_rot_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_rot_x
359
+ - right_eef_rot_y
360
+ - right_eef_rot_z
361
+ shape:
362
+ - 12
363
+ dtype: float32
364
+ eef_direction_state:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_direction_action:
372
+ names:
373
+ - left_eef_direction
374
+ - right_eef_direction
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_state:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_velocity_action:
386
+ names:
387
+ - left_eef_velocity
388
+ - right_eef_velocity
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_state:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ eef_acc_mag_action:
400
+ names:
401
+ - left_eef_acc_mag
402
+ - right_eef_acc_mag
403
+ shape:
404
+ - 2
405
+ dtype: int32
406
+ authors:
407
+ contributed_by:
408
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
409
+ dataset_description: This dataset uses an extended format based on LeRobot and is
410
+ fully compatible with LeRobot.
411
+ homepage: https://flagopen.github.io/RoboCOIN/
412
+ paper: https://arxiv.org/abs/2511.17441
413
+ repository: https://github.com/FlagOpen/RoboCOIN
414
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
415
+ us.
416
+ support_info: For technical support, please open an issue on our GitHub repository.
417
+ license_details: apache-2.0
418
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
419
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
420
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
421
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
422
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
423
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
424
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
425
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
426
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
427
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
428
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
429
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
430
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
431
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
432
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
433
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
434
+ additional_citations: 'If you use this dataset, please also consider citing:
435
+
436
+ LeRobot Framework: https://github.com/huggingface/lerobot
437
+
438
+ '
439
+ version_info: Initial Release
440
+ data_path: data/chunk-{id}/episode_{id}.parquet
441
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
442
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_bell_pepper.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_bell_pepper
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: scene_level1
27
+ level2: scene_level2
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: red_bell_pepper
35
+ level1: vegetables
36
+ level2: red_bell_pepper
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_bell_pepper
41
+ level1: vegetables
42
+ level2: yellow_bell_pepper
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: white_basket
47
+ level1: basket
48
+ level2: white_basket
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 red peppers and yellow peppers into the box.
56
+ sub_tasks:
57
+ - subtask: Place the yellow pepper into the left compartment of the storage box with
58
+ the left gripper
59
+ subtask_index: 0
60
+ - subtask: End
61
+ subtask_index: 1
62
+ - subtask: Grasp the green pepper with the right gripper
63
+ subtask_index: 2
64
+ - subtask: Place the green pepper into the right compartment of the storage box with
65
+ the right gripper
66
+ subtask_index: 3
67
+ - subtask: Grasp the yellow pepper with the left gripper
68
+ subtask_index: 4
69
+ - subtask: 'null'
70
+ subtask_index: 5
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: 48
107
+ total_frames: 7525
108
+ fps: 30
109
+ total_tasks: 6
110
+ total_videos: 192
111
+ total_chunks: 1
112
+ chunks_size: 1000
113
+ state_dim: 36
114
+ action_dim: 36
115
+ camera_views: 4
116
+ dataset_size: 200.59 MB
117
+ frame_num: 7525
118
+ dataset_size: 200.59 MB
119
+ data_structure: "Airbot_MMK2_storage_bell_pepper_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| `-- ... (36 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: 0:47
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_storage_bowl.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_bowl
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: catering
27
+ level2: restaurant
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: bowl
35
+ level1: plastic_bowls
36
+ level2: bowl
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: basin
41
+ level1: storage_boxes
42
+ level2: basin
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - pick the bowls on the table by hands and place them into the yellow basin.
50
+ sub_tasks:
51
+ - subtask: Grasp the pink bowl with the left gripper
52
+ subtask_index: 0
53
+ - subtask: End
54
+ subtask_index: 1
55
+ - subtask: Grasp the white bowl with the right gripper
56
+ subtask_index: 2
57
+ - subtask: Place the pink bowl into the yellow storage box with the left gripper
58
+ subtask_index: 3
59
+ - subtask: Place the white bowl into the yellow storage box with the right gripper
60
+ subtask_index: 4
61
+ - subtask: 'null'
62
+ subtask_index: 5
63
+ atomic_actions:
64
+ - grasp
65
+ - pick
66
+ - place
67
+ robot_name:
68
+ - Airbot_MMK2
69
+ end_effector_type: five_finger_gripper
70
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
71
+ type information.
72
+ sensor_list:
73
+ - cam_head_rgb
74
+ - cam_left_wrist_rgb
75
+ - cam_right_wrist_rgb
76
+ - cam_front_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
84
+ depth_enabled: false
85
+ coordinate_definition: right-hand-frame
86
+ joint_rotation_dim: radian
87
+ end_rotation_dim: end_rotation_dim
88
+ end_translation_dim: end_translation_dim
89
+ annotations:
90
+ - eef_acc_mag_annotation.jsonl
91
+ - eef_direction_annotation.jsonl
92
+ - eef_velocity_annotation.jsonl
93
+ - gripper_activity_annotation.jsonl
94
+ - gripper_mode_annotation.jsonl
95
+ - scene_annotations.jsonl
96
+ - subtask_annotations.jsonl
97
+ statistics:
98
+ total_episodes: 46
99
+ total_frames: 10955
100
+ fps: 30
101
+ total_tasks: 6
102
+ total_videos: 184
103
+ total_chunks: 1
104
+ chunks_size: 1000
105
+ state_dim: 36
106
+ action_dim: 36
107
+ camera_views: 4
108
+ dataset_size: 432.12 MB
109
+ frame_num: 10955
110
+ dataset_size: 432.12 MB
111
+ data_structure: "Airbot_MMK2_storage_bowl_qced_hardlink/\n|-- annotations\n| |--\
112
+ \ eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |--\
113
+ \ eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| \
114
+ \ |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n\
115
+ |-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
116
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
117
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
118
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
119
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
120
+ | `-- ... (34 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
121
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
122
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
123
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
124
+ splits:
125
+ train: 0:45
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_cookie_cup.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_storage_cookie_cup
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: plate
35
+ level1: kitchen_supplies
36
+ level2: plate
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: macaron
41
+ level1: bread
42
+ level2: macaron
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: refreshing_beer
47
+ level1: beverages
48
+ level2: refreshing_beer
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 cookies and beer into the plate respectively with left and right hands.
56
+ sub_tasks:
57
+ - subtask: Place the beer mug on the white basket with the right gripper
58
+ subtask_index: 0
59
+ - subtask: Place the bagged cookies on the white basket with the left gripper
60
+ subtask_index: 1
61
+ - subtask: Grasp the bagged cookies with the left gripper
62
+ subtask_index: 2
63
+ - subtask: End
64
+ subtask_index: 3
65
+ - subtask: Grasp the beer mug with the right 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: 47
105
+ total_frames: 9983
106
+ fps: 30
107
+ total_tasks: 6
108
+ total_videos: 188
109
+ total_chunks: 1
110
+ chunks_size: 1000
111
+ state_dim: 36
112
+ action_dim: 36
113
+ camera_views: 4
114
+ dataset_size: 488.86 MB
115
+ frame_num: 9983
116
+ dataset_size: 488.86 MB
117
+ data_structure: "Airbot_MMK2_storage_cookie_cup_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| `-- ... (35 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: 0:46
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/Airbot_MMK2_storage_cup_plate.yaml ADDED
@@ -0,0 +1,435 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Airbot_MMK2_storage_cup_plate
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: any_cup
35
+ level1: cups
36
+ level2: any_cup
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: white_small_plate
41
+ level1: plates
42
+ level2: white_small_plate
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 cups on the table by hand and place them on the white plate.
50
+ sub_tasks:
51
+ - subtask: Grasp the purple cup with the right gripper
52
+ subtask_index: 0
53
+ - subtask: Grasp the blue cup with the left gripper
54
+ subtask_index: 1
55
+ - subtask: Place the blue cup on the plate with the left gripper
56
+ subtask_index: 2
57
+ - subtask: Abnormal
58
+ subtask_index: 3
59
+ - subtask: Place the purple cup on the blue cup with the right gripper
60
+ subtask_index: 4
61
+ - subtask: End
62
+ subtask_index: 5
63
+ - subtask: 'null'
64
+ subtask_index: 6
65
+ atomic_actions:
66
+ - clip
67
+ - place
68
+ - lift
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: 44
101
+ total_frames: 11727
102
+ fps: 30
103
+ total_tasks: 7
104
+ total_videos: 176
105
+ total_chunks: 1
106
+ chunks_size: 1000
107
+ state_dim: 36
108
+ action_dim: 36
109
+ camera_views: 4
110
+ dataset_size: 500.23 MB
111
+ frame_num: 11727
112
+ dataset_size: 500.23 MB
113
+ data_structure: "Airbot_MMK2_storage_cup_plate_qced_hardlink/\n|-- annotations\n|\
114
+ \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
115
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
116
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
117
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
118
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
119
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
120
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
121
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
122
+ | `-- episode_000011.parquet\n| `-- ... (32 more entries)\n|-- meta\n\
123
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
124
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
125
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
126
+ \ `-- observation.images.cam_right_wrist_rgb"
127
+ splits:
128
+ train: 0:43
129
+ features:
130
+ observation.images.cam_head_rgb:
131
+ dtype: video
132
+ shape:
133
+ - 480
134
+ - 640
135
+ - 3
136
+ names:
137
+ - height
138
+ - width
139
+ - channels
140
+ info:
141
+ video.height: 480
142
+ video.width: 640
143
+ video.codec: av1
144
+ video.pix_fmt: yuv420p
145
+ video.is_depth_map: false
146
+ video.fps: 30
147
+ video.channels: 3
148
+ has_audio: false
149
+ observation.images.cam_left_wrist_rgb:
150
+ dtype: video
151
+ shape:
152
+ - 480
153
+ - 640
154
+ - 3
155
+ names:
156
+ - height
157
+ - width
158
+ - channels
159
+ info:
160
+ video.height: 480
161
+ video.width: 640
162
+ video.codec: av1
163
+ video.pix_fmt: yuv420p
164
+ video.is_depth_map: false
165
+ video.fps: 30
166
+ video.channels: 3
167
+ has_audio: false
168
+ observation.images.cam_right_wrist_rgb:
169
+ dtype: video
170
+ shape:
171
+ - 480
172
+ - 640
173
+ - 3
174
+ names:
175
+ - height
176
+ - width
177
+ - channels
178
+ info:
179
+ video.height: 480
180
+ video.width: 640
181
+ video.codec: av1
182
+ video.pix_fmt: yuv420p
183
+ video.is_depth_map: false
184
+ video.fps: 30
185
+ video.channels: 3
186
+ has_audio: false
187
+ observation.images.cam_front_rgb:
188
+ dtype: video
189
+ shape:
190
+ - 480
191
+ - 640
192
+ - 3
193
+ names:
194
+ - height
195
+ - width
196
+ - channels
197
+ info:
198
+ video.height: 480
199
+ video.width: 640
200
+ video.codec: av1
201
+ video.pix_fmt: yuv420p
202
+ video.is_depth_map: false
203
+ video.fps: 30
204
+ video.channels: 3
205
+ has_audio: false
206
+ observation.state:
207
+ dtype: float32
208
+ shape:
209
+ - 36
210
+ names:
211
+ - left_arm_joint_1_rad
212
+ - left_arm_joint_2_rad
213
+ - left_arm_joint_3_rad
214
+ - left_arm_joint_4_rad
215
+ - left_arm_joint_5_rad
216
+ - left_arm_joint_6_rad
217
+ - right_arm_joint_1_rad
218
+ - right_arm_joint_2_rad
219
+ - right_arm_joint_3_rad
220
+ - right_arm_joint_4_rad
221
+ - right_arm_joint_5_rad
222
+ - right_arm_joint_6_rad
223
+ - left_hand_joint_1_rad
224
+ - left_hand_joint_2_rad
225
+ - left_hand_joint_3_rad
226
+ - left_hand_joint_4_rad
227
+ - left_hand_joint_5_rad
228
+ - left_hand_joint_6_rad
229
+ - left_hand_joint_7_rad
230
+ - left_hand_joint_8_rad
231
+ - left_hand_joint_9_rad
232
+ - left_hand_joint_10_rad
233
+ - left_hand_joint_11_rad
234
+ - left_hand_joint_12_rad
235
+ - right_hand_joint_1_rad
236
+ - right_hand_joint_2_rad
237
+ - right_hand_joint_3_rad
238
+ - right_hand_joint_4_rad
239
+ - right_hand_joint_5_rad
240
+ - right_hand_joint_6_rad
241
+ - right_hand_joint_7_rad
242
+ - right_hand_joint_8_rad
243
+ - right_hand_joint_9_rad
244
+ - right_hand_joint_10_rad
245
+ - right_hand_joint_11_rad
246
+ - right_hand_joint_12_rad
247
+ action:
248
+ dtype: float32
249
+ shape:
250
+ - 36
251
+ names:
252
+ - left_arm_joint_1_rad
253
+ - left_arm_joint_2_rad
254
+ - left_arm_joint_3_rad
255
+ - left_arm_joint_4_rad
256
+ - left_arm_joint_5_rad
257
+ - left_arm_joint_6_rad
258
+ - right_arm_joint_1_rad
259
+ - right_arm_joint_2_rad
260
+ - right_arm_joint_3_rad
261
+ - right_arm_joint_4_rad
262
+ - right_arm_joint_5_rad
263
+ - right_arm_joint_6_rad
264
+ - left_hand_joint_1_rad
265
+ - left_hand_joint_2_rad
266
+ - left_hand_joint_3_rad
267
+ - left_hand_joint_4_rad
268
+ - left_hand_joint_5_rad
269
+ - left_hand_joint_6_rad
270
+ - left_hand_joint_7_rad
271
+ - left_hand_joint_8_rad
272
+ - left_hand_joint_9_rad
273
+ - left_hand_joint_10_rad
274
+ - left_hand_joint_11_rad
275
+ - left_hand_joint_12_rad
276
+ - right_hand_joint_1_rad
277
+ - right_hand_joint_2_rad
278
+ - right_hand_joint_3_rad
279
+ - right_hand_joint_4_rad
280
+ - right_hand_joint_5_rad
281
+ - right_hand_joint_6_rad
282
+ - right_hand_joint_7_rad
283
+ - right_hand_joint_8_rad
284
+ - right_hand_joint_9_rad
285
+ - right_hand_joint_10_rad
286
+ - right_hand_joint_11_rad
287
+ - right_hand_joint_12_rad
288
+ timestamp:
289
+ dtype: float32
290
+ shape:
291
+ - 1
292
+ names: null
293
+ frame_index:
294
+ dtype: int64
295
+ shape:
296
+ - 1
297
+ names: null
298
+ episode_index:
299
+ dtype: int64
300
+ shape:
301
+ - 1
302
+ names: null
303
+ index:
304
+ dtype: int64
305
+ shape:
306
+ - 1
307
+ names: null
308
+ task_index:
309
+ dtype: int64
310
+ shape:
311
+ - 1
312
+ names: null
313
+ subtask_annotation:
314
+ names: null
315
+ shape:
316
+ - 5
317
+ dtype: int32
318
+ scene_annotation:
319
+ names: null
320
+ shape:
321
+ - 1
322
+ dtype: int32
323
+ eef_sim_pose_state:
324
+ names:
325
+ - left_eef_pos_x
326
+ - left_eef_pos_y
327
+ - left_eef_pos_z
328
+ - left_eef_rot_x
329
+ - left_eef_rot_y
330
+ - left_eef_rot_z
331
+ - right_eef_pos_x
332
+ - right_eef_pos_y
333
+ - right_eef_pos_z
334
+ - right_eef_rot_x
335
+ - right_eef_rot_y
336
+ - right_eef_rot_z
337
+ shape:
338
+ - 12
339
+ dtype: float32
340
+ eef_sim_pose_action:
341
+ names:
342
+ - left_eef_pos_x
343
+ - left_eef_pos_y
344
+ - left_eef_pos_z
345
+ - left_eef_rot_x
346
+ - left_eef_rot_y
347
+ - left_eef_rot_z
348
+ - right_eef_pos_x
349
+ - right_eef_pos_y
350
+ - right_eef_pos_z
351
+ - right_eef_rot_x
352
+ - right_eef_rot_y
353
+ - right_eef_rot_z
354
+ shape:
355
+ - 12
356
+ dtype: float32
357
+ eef_direction_state:
358
+ names:
359
+ - left_eef_direction
360
+ - right_eef_direction
361
+ shape:
362
+ - 2
363
+ dtype: int32
364
+ eef_direction_action:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_velocity_state:
372
+ names:
373
+ - left_eef_velocity
374
+ - right_eef_velocity
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_action:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_acc_mag_state:
386
+ names:
387
+ - left_eef_acc_mag
388
+ - right_eef_acc_mag
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_action:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ authors:
400
+ contributed_by:
401
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
402
+ dataset_description: This dataset uses an extended format based on LeRobot and is
403
+ fully compatible with LeRobot.
404
+ homepage: https://flagopen.github.io/RoboCOIN/
405
+ paper: https://arxiv.org/abs/2511.17441
406
+ repository: https://github.com/FlagOpen/RoboCOIN
407
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
408
+ us.
409
+ support_info: For technical support, please open an issue on our GitHub repository.
410
+ license_details: apache-2.0
411
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
412
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
413
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
414
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
415
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
416
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
417
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
418
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
419
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
420
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
421
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
422
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
423
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
424
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
425
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
426
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
427
+ additional_citations: 'If you use this dataset, please also consider citing:
428
+
429
+ LeRobot Framework: https://github.com/huggingface/lerobot
430
+
431
+ '
432
+ version_info: Initial Release
433
+ data_path: data/chunk-{id}/episode_{id}.parquet
434
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
435
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_egg_yellow_box.yaml ADDED
@@ -0,0 +1,433 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Airbot_MMK2_storage_egg_yellow_box
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: egg
35
+ level1: food
36
+ level2: egg
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: egg_carton
41
+ level1: disposable_items
42
+ level2: egg_carton
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - use hands to pick the egg on the table and place them into the egg carton.
50
+ sub_tasks:
51
+ - subtask: Close the lid of the egg storage box with the left gripper
52
+ subtask_index: 0
53
+ - subtask: End
54
+ subtask_index: 1
55
+ - subtask: Place the egg into the egg storage box with the right gripper
56
+ subtask_index: 2
57
+ - subtask: Grasp the egg with the right gripper
58
+ subtask_index: 3
59
+ - subtask: Abnormal
60
+ subtask_index: 4
61
+ - subtask: 'null'
62
+ subtask_index: 5
63
+ atomic_actions:
64
+ - grasp
65
+ - pick
66
+ - place
67
+ robot_name:
68
+ - Airbot_MMK2
69
+ end_effector_type: five_finger_gripper
70
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
71
+ type information.
72
+ sensor_list:
73
+ - cam_head_rgb
74
+ - cam_left_wrist_rgb
75
+ - cam_right_wrist_rgb
76
+ - cam_front_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
84
+ depth_enabled: false
85
+ coordinate_definition: right-hand-frame
86
+ joint_rotation_dim: radian
87
+ end_rotation_dim: end_rotation_dim
88
+ end_translation_dim: end_translation_dim
89
+ annotations:
90
+ - eef_acc_mag_annotation.jsonl
91
+ - eef_direction_annotation.jsonl
92
+ - eef_velocity_annotation.jsonl
93
+ - gripper_activity_annotation.jsonl
94
+ - gripper_mode_annotation.jsonl
95
+ - scene_annotations.jsonl
96
+ - subtask_annotations.jsonl
97
+ statistics:
98
+ total_episodes: 249
99
+ total_frames: 68503
100
+ fps: 30
101
+ total_tasks: 6
102
+ total_videos: 996
103
+ total_chunks: 1
104
+ chunks_size: 1000
105
+ state_dim: 36
106
+ action_dim: 36
107
+ camera_views: 4
108
+ dataset_size: 2.69 GB
109
+ frame_num: 68503
110
+ dataset_size: 2.69 GB
111
+ data_structure: "Airbot_MMK2_storage_egg_yellow_box_qced_hardlink/\n|-- annotations\n\
112
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
113
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
114
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
115
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
116
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
117
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
118
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
119
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
120
+ | `-- episode_000011.parquet\n| `-- ... (237 more entries)\n|-- meta\n\
121
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
122
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
123
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
124
+ \ `-- observation.images.cam_right_wrist_rgb"
125
+ splits:
126
+ train: 0:248
127
+ features:
128
+ observation.images.cam_head_rgb:
129
+ dtype: video
130
+ shape:
131
+ - 480
132
+ - 640
133
+ - 3
134
+ names:
135
+ - height
136
+ - width
137
+ - channels
138
+ info:
139
+ video.height: 480
140
+ video.width: 640
141
+ video.codec: av1
142
+ video.pix_fmt: yuv420p
143
+ video.is_depth_map: false
144
+ video.fps: 30
145
+ video.channels: 3
146
+ has_audio: false
147
+ observation.images.cam_left_wrist_rgb:
148
+ dtype: video
149
+ shape:
150
+ - 480
151
+ - 640
152
+ - 3
153
+ names:
154
+ - height
155
+ - width
156
+ - channels
157
+ info:
158
+ video.height: 480
159
+ video.width: 640
160
+ video.codec: av1
161
+ video.pix_fmt: yuv420p
162
+ video.is_depth_map: false
163
+ video.fps: 30
164
+ video.channels: 3
165
+ has_audio: false
166
+ observation.images.cam_right_wrist_rgb:
167
+ dtype: video
168
+ shape:
169
+ - 480
170
+ - 640
171
+ - 3
172
+ names:
173
+ - height
174
+ - width
175
+ - channels
176
+ info:
177
+ video.height: 480
178
+ video.width: 640
179
+ video.codec: av1
180
+ video.pix_fmt: yuv420p
181
+ video.is_depth_map: false
182
+ video.fps: 30
183
+ video.channels: 3
184
+ has_audio: false
185
+ observation.images.cam_front_rgb:
186
+ dtype: video
187
+ shape:
188
+ - 480
189
+ - 640
190
+ - 3
191
+ names:
192
+ - height
193
+ - width
194
+ - channels
195
+ info:
196
+ video.height: 480
197
+ video.width: 640
198
+ video.codec: av1
199
+ video.pix_fmt: yuv420p
200
+ video.is_depth_map: false
201
+ video.fps: 30
202
+ video.channels: 3
203
+ has_audio: false
204
+ observation.state:
205
+ dtype: float32
206
+ shape:
207
+ - 36
208
+ names:
209
+ - left_arm_joint_1_rad
210
+ - left_arm_joint_2_rad
211
+ - left_arm_joint_3_rad
212
+ - left_arm_joint_4_rad
213
+ - left_arm_joint_5_rad
214
+ - left_arm_joint_6_rad
215
+ - right_arm_joint_1_rad
216
+ - right_arm_joint_2_rad
217
+ - right_arm_joint_3_rad
218
+ - right_arm_joint_4_rad
219
+ - right_arm_joint_5_rad
220
+ - right_arm_joint_6_rad
221
+ - left_hand_joint_1_rad
222
+ - left_hand_joint_2_rad
223
+ - left_hand_joint_3_rad
224
+ - left_hand_joint_4_rad
225
+ - left_hand_joint_5_rad
226
+ - left_hand_joint_6_rad
227
+ - left_hand_joint_7_rad
228
+ - left_hand_joint_8_rad
229
+ - left_hand_joint_9_rad
230
+ - left_hand_joint_10_rad
231
+ - left_hand_joint_11_rad
232
+ - left_hand_joint_12_rad
233
+ - right_hand_joint_1_rad
234
+ - right_hand_joint_2_rad
235
+ - right_hand_joint_3_rad
236
+ - right_hand_joint_4_rad
237
+ - right_hand_joint_5_rad
238
+ - right_hand_joint_6_rad
239
+ - right_hand_joint_7_rad
240
+ - right_hand_joint_8_rad
241
+ - right_hand_joint_9_rad
242
+ - right_hand_joint_10_rad
243
+ - right_hand_joint_11_rad
244
+ - right_hand_joint_12_rad
245
+ action:
246
+ dtype: float32
247
+ shape:
248
+ - 36
249
+ names:
250
+ - left_arm_joint_1_rad
251
+ - left_arm_joint_2_rad
252
+ - left_arm_joint_3_rad
253
+ - left_arm_joint_4_rad
254
+ - left_arm_joint_5_rad
255
+ - left_arm_joint_6_rad
256
+ - right_arm_joint_1_rad
257
+ - right_arm_joint_2_rad
258
+ - right_arm_joint_3_rad
259
+ - right_arm_joint_4_rad
260
+ - right_arm_joint_5_rad
261
+ - right_arm_joint_6_rad
262
+ - left_hand_joint_1_rad
263
+ - left_hand_joint_2_rad
264
+ - left_hand_joint_3_rad
265
+ - left_hand_joint_4_rad
266
+ - left_hand_joint_5_rad
267
+ - left_hand_joint_6_rad
268
+ - left_hand_joint_7_rad
269
+ - left_hand_joint_8_rad
270
+ - left_hand_joint_9_rad
271
+ - left_hand_joint_10_rad
272
+ - left_hand_joint_11_rad
273
+ - left_hand_joint_12_rad
274
+ - right_hand_joint_1_rad
275
+ - right_hand_joint_2_rad
276
+ - right_hand_joint_3_rad
277
+ - right_hand_joint_4_rad
278
+ - right_hand_joint_5_rad
279
+ - right_hand_joint_6_rad
280
+ - right_hand_joint_7_rad
281
+ - right_hand_joint_8_rad
282
+ - right_hand_joint_9_rad
283
+ - right_hand_joint_10_rad
284
+ - right_hand_joint_11_rad
285
+ - right_hand_joint_12_rad
286
+ timestamp:
287
+ dtype: float32
288
+ shape:
289
+ - 1
290
+ names: null
291
+ frame_index:
292
+ dtype: int64
293
+ shape:
294
+ - 1
295
+ names: null
296
+ episode_index:
297
+ dtype: int64
298
+ shape:
299
+ - 1
300
+ names: null
301
+ index:
302
+ dtype: int64
303
+ shape:
304
+ - 1
305
+ names: null
306
+ task_index:
307
+ dtype: int64
308
+ shape:
309
+ - 1
310
+ names: null
311
+ subtask_annotation:
312
+ names: null
313
+ shape:
314
+ - 5
315
+ dtype: int32
316
+ scene_annotation:
317
+ names: null
318
+ shape:
319
+ - 1
320
+ dtype: int32
321
+ eef_sim_pose_state:
322
+ names:
323
+ - left_eef_pos_x
324
+ - left_eef_pos_y
325
+ - left_eef_pos_z
326
+ - left_eef_rot_x
327
+ - left_eef_rot_y
328
+ - left_eef_rot_z
329
+ - right_eef_pos_x
330
+ - right_eef_pos_y
331
+ - right_eef_pos_z
332
+ - right_eef_rot_x
333
+ - right_eef_rot_y
334
+ - right_eef_rot_z
335
+ shape:
336
+ - 12
337
+ dtype: float32
338
+ eef_sim_pose_action:
339
+ names:
340
+ - left_eef_pos_x
341
+ - left_eef_pos_y
342
+ - left_eef_pos_z
343
+ - left_eef_rot_x
344
+ - left_eef_rot_y
345
+ - left_eef_rot_z
346
+ - right_eef_pos_x
347
+ - right_eef_pos_y
348
+ - right_eef_pos_z
349
+ - right_eef_rot_x
350
+ - right_eef_rot_y
351
+ - right_eef_rot_z
352
+ shape:
353
+ - 12
354
+ dtype: float32
355
+ eef_direction_state:
356
+ names:
357
+ - left_eef_direction
358
+ - right_eef_direction
359
+ shape:
360
+ - 2
361
+ dtype: int32
362
+ eef_direction_action:
363
+ names:
364
+ - left_eef_direction
365
+ - right_eef_direction
366
+ shape:
367
+ - 2
368
+ dtype: int32
369
+ eef_velocity_state:
370
+ names:
371
+ - left_eef_velocity
372
+ - right_eef_velocity
373
+ shape:
374
+ - 2
375
+ dtype: int32
376
+ eef_velocity_action:
377
+ names:
378
+ - left_eef_velocity
379
+ - right_eef_velocity
380
+ shape:
381
+ - 2
382
+ dtype: int32
383
+ eef_acc_mag_state:
384
+ names:
385
+ - left_eef_acc_mag
386
+ - right_eef_acc_mag
387
+ shape:
388
+ - 2
389
+ dtype: int32
390
+ eef_acc_mag_action:
391
+ names:
392
+ - left_eef_acc_mag
393
+ - right_eef_acc_mag
394
+ shape:
395
+ - 2
396
+ dtype: int32
397
+ authors:
398
+ contributed_by:
399
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
400
+ dataset_description: This dataset uses an extended format based on LeRobot and is
401
+ fully compatible with LeRobot.
402
+ homepage: https://flagopen.github.io/RoboCOIN/
403
+ paper: https://arxiv.org/abs/2511.17441
404
+ repository: https://github.com/FlagOpen/RoboCOIN
405
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
406
+ us.
407
+ support_info: For technical support, please open an issue on our GitHub repository.
408
+ license_details: apache-2.0
409
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
410
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
411
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
412
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
413
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
414
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
415
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
416
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
417
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
418
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
419
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
420
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
421
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
422
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
423
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
424
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
425
+ additional_citations: 'If you use this dataset, please also consider citing:
426
+
427
+ LeRobot Framework: https://github.com/huggingface/lerobot
428
+
429
+ '
430
+ version_info: Initial Release
431
+ data_path: data/chunk-{id}/episode_{id}.parquet
432
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
433
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_lemon_mango.yaml ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_lemon_mango
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: lemon
35
+ level1: fruits
36
+ level2: lemon
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: mango
41
+ level1: fruits
42
+ level2: mango
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: storage_box
47
+ level1: storage_utensils
48
+ level2: storage_box
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
+ - grab the mango with left hand and the lemon with right hand, and put them into the
56
+ storage box.
57
+ sub_tasks:
58
+ - subtask: End
59
+ subtask_index: 0
60
+ - subtask: Place the lemon into the right compartment of the storage box with the
61
+ right gripper
62
+ subtask_index: 1
63
+ - subtask: Place the mango into the left compartment of the storage box with the
64
+ left gripper
65
+ subtask_index: 2
66
+ - subtask: Grasp the mango with the left gripper
67
+ subtask_index: 3
68
+ - subtask: Grasp the lemon with the right gripper
69
+ subtask_index: 4
70
+ - subtask: 'null'
71
+ subtask_index: 5
72
+ atomic_actions:
73
+ - pinch
74
+ - place
75
+ - clip
76
+ - lift
77
+ robot_name:
78
+ - Airbot_MMK2
79
+ end_effector_type: five_finger_gripper
80
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
81
+ type information.
82
+ sensor_list:
83
+ - cam_head_rgb
84
+ - cam_left_wrist_rgb
85
+ - cam_right_wrist_rgb
86
+ - cam_front_rgb
87
+ came_info:
88
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
89
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
90
+ pix_fmt=yuv420p
91
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
92
+ pix_fmt=yuv420p
93
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
94
+ depth_enabled: false
95
+ coordinate_definition: right-hand-frame
96
+ joint_rotation_dim: radian
97
+ end_rotation_dim: end_rotation_dim
98
+ end_translation_dim: end_translation_dim
99
+ annotations:
100
+ - eef_acc_mag_annotation.jsonl
101
+ - eef_direction_annotation.jsonl
102
+ - eef_velocity_annotation.jsonl
103
+ - gripper_activity_annotation.jsonl
104
+ - gripper_mode_annotation.jsonl
105
+ - scene_annotations.jsonl
106
+ - subtask_annotations.jsonl
107
+ statistics:
108
+ total_episodes: 49
109
+ total_frames: 7685
110
+ fps: 30
111
+ total_tasks: 6
112
+ total_videos: 196
113
+ total_chunks: 1
114
+ chunks_size: 1000
115
+ state_dim: 36
116
+ action_dim: 36
117
+ camera_views: 4
118
+ dataset_size: 201.65 MB
119
+ frame_num: 7685
120
+ dataset_size: 201.65 MB
121
+ data_structure: "Airbot_MMK2_storage_lemon_mango_qced_hardlink/\n|-- annotations\n\
122
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
123
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
124
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
125
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
126
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
127
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
128
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
129
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
130
+ | `-- episode_000011.parquet\n| `-- ... (37 more entries)\n|-- meta\n\
131
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
132
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
133
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
134
+ \ `-- observation.images.cam_right_wrist_rgb"
135
+ splits:
136
+ train: 0:48
137
+ features:
138
+ observation.images.cam_head_rgb:
139
+ dtype: video
140
+ shape:
141
+ - 480
142
+ - 640
143
+ - 3
144
+ names:
145
+ - height
146
+ - width
147
+ - channels
148
+ info:
149
+ video.height: 480
150
+ video.width: 640
151
+ video.codec: av1
152
+ video.pix_fmt: yuv420p
153
+ video.is_depth_map: false
154
+ video.fps: 30
155
+ video.channels: 3
156
+ has_audio: false
157
+ observation.images.cam_left_wrist_rgb:
158
+ dtype: video
159
+ shape:
160
+ - 480
161
+ - 640
162
+ - 3
163
+ names:
164
+ - height
165
+ - width
166
+ - channels
167
+ info:
168
+ video.height: 480
169
+ video.width: 640
170
+ video.codec: av1
171
+ video.pix_fmt: yuv420p
172
+ video.is_depth_map: false
173
+ video.fps: 30
174
+ video.channels: 3
175
+ has_audio: false
176
+ observation.images.cam_right_wrist_rgb:
177
+ dtype: video
178
+ shape:
179
+ - 480
180
+ - 640
181
+ - 3
182
+ names:
183
+ - height
184
+ - width
185
+ - channels
186
+ info:
187
+ video.height: 480
188
+ video.width: 640
189
+ video.codec: av1
190
+ video.pix_fmt: yuv420p
191
+ video.is_depth_map: false
192
+ video.fps: 30
193
+ video.channels: 3
194
+ has_audio: false
195
+ observation.images.cam_front_rgb:
196
+ dtype: video
197
+ shape:
198
+ - 480
199
+ - 640
200
+ - 3
201
+ names:
202
+ - height
203
+ - width
204
+ - channels
205
+ info:
206
+ video.height: 480
207
+ video.width: 640
208
+ video.codec: av1
209
+ video.pix_fmt: yuv420p
210
+ video.is_depth_map: false
211
+ video.fps: 30
212
+ video.channels: 3
213
+ has_audio: false
214
+ observation.state:
215
+ dtype: float32
216
+ shape:
217
+ - 36
218
+ names:
219
+ - left_arm_joint_1_rad
220
+ - left_arm_joint_2_rad
221
+ - left_arm_joint_3_rad
222
+ - left_arm_joint_4_rad
223
+ - left_arm_joint_5_rad
224
+ - left_arm_joint_6_rad
225
+ - right_arm_joint_1_rad
226
+ - right_arm_joint_2_rad
227
+ - right_arm_joint_3_rad
228
+ - right_arm_joint_4_rad
229
+ - right_arm_joint_5_rad
230
+ - right_arm_joint_6_rad
231
+ - left_hand_joint_1_rad
232
+ - left_hand_joint_2_rad
233
+ - left_hand_joint_3_rad
234
+ - left_hand_joint_4_rad
235
+ - left_hand_joint_5_rad
236
+ - left_hand_joint_6_rad
237
+ - left_hand_joint_7_rad
238
+ - left_hand_joint_8_rad
239
+ - left_hand_joint_9_rad
240
+ - left_hand_joint_10_rad
241
+ - left_hand_joint_11_rad
242
+ - left_hand_joint_12_rad
243
+ - right_hand_joint_1_rad
244
+ - right_hand_joint_2_rad
245
+ - right_hand_joint_3_rad
246
+ - right_hand_joint_4_rad
247
+ - right_hand_joint_5_rad
248
+ - right_hand_joint_6_rad
249
+ - right_hand_joint_7_rad
250
+ - right_hand_joint_8_rad
251
+ - right_hand_joint_9_rad
252
+ - right_hand_joint_10_rad
253
+ - right_hand_joint_11_rad
254
+ - right_hand_joint_12_rad
255
+ action:
256
+ dtype: float32
257
+ shape:
258
+ - 36
259
+ names:
260
+ - left_arm_joint_1_rad
261
+ - left_arm_joint_2_rad
262
+ - left_arm_joint_3_rad
263
+ - left_arm_joint_4_rad
264
+ - left_arm_joint_5_rad
265
+ - left_arm_joint_6_rad
266
+ - right_arm_joint_1_rad
267
+ - right_arm_joint_2_rad
268
+ - right_arm_joint_3_rad
269
+ - right_arm_joint_4_rad
270
+ - right_arm_joint_5_rad
271
+ - right_arm_joint_6_rad
272
+ - left_hand_joint_1_rad
273
+ - left_hand_joint_2_rad
274
+ - left_hand_joint_3_rad
275
+ - left_hand_joint_4_rad
276
+ - left_hand_joint_5_rad
277
+ - left_hand_joint_6_rad
278
+ - left_hand_joint_7_rad
279
+ - left_hand_joint_8_rad
280
+ - left_hand_joint_9_rad
281
+ - left_hand_joint_10_rad
282
+ - left_hand_joint_11_rad
283
+ - left_hand_joint_12_rad
284
+ - right_hand_joint_1_rad
285
+ - right_hand_joint_2_rad
286
+ - right_hand_joint_3_rad
287
+ - right_hand_joint_4_rad
288
+ - right_hand_joint_5_rad
289
+ - right_hand_joint_6_rad
290
+ - right_hand_joint_7_rad
291
+ - right_hand_joint_8_rad
292
+ - right_hand_joint_9_rad
293
+ - right_hand_joint_10_rad
294
+ - right_hand_joint_11_rad
295
+ - right_hand_joint_12_rad
296
+ timestamp:
297
+ dtype: float32
298
+ shape:
299
+ - 1
300
+ names: null
301
+ frame_index:
302
+ dtype: int64
303
+ shape:
304
+ - 1
305
+ names: null
306
+ episode_index:
307
+ dtype: int64
308
+ shape:
309
+ - 1
310
+ names: null
311
+ index:
312
+ dtype: int64
313
+ shape:
314
+ - 1
315
+ names: null
316
+ task_index:
317
+ dtype: int64
318
+ shape:
319
+ - 1
320
+ names: null
321
+ subtask_annotation:
322
+ names: null
323
+ shape:
324
+ - 5
325
+ dtype: int32
326
+ scene_annotation:
327
+ names: null
328
+ shape:
329
+ - 1
330
+ dtype: int32
331
+ eef_sim_pose_state:
332
+ names:
333
+ - left_eef_pos_x
334
+ - left_eef_pos_y
335
+ - left_eef_pos_z
336
+ - left_eef_rot_x
337
+ - left_eef_rot_y
338
+ - left_eef_rot_z
339
+ - right_eef_pos_x
340
+ - right_eef_pos_y
341
+ - right_eef_pos_z
342
+ - right_eef_rot_x
343
+ - right_eef_rot_y
344
+ - right_eef_rot_z
345
+ shape:
346
+ - 12
347
+ dtype: float32
348
+ eef_sim_pose_action:
349
+ names:
350
+ - left_eef_pos_x
351
+ - left_eef_pos_y
352
+ - left_eef_pos_z
353
+ - left_eef_rot_x
354
+ - left_eef_rot_y
355
+ - left_eef_rot_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_rot_x
360
+ - right_eef_rot_y
361
+ - right_eef_rot_z
362
+ shape:
363
+ - 12
364
+ dtype: float32
365
+ eef_direction_state:
366
+ names:
367
+ - left_eef_direction
368
+ - right_eef_direction
369
+ shape:
370
+ - 2
371
+ dtype: int32
372
+ eef_direction_action:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ shape:
377
+ - 2
378
+ dtype: int32
379
+ eef_velocity_state:
380
+ names:
381
+ - left_eef_velocity
382
+ - right_eef_velocity
383
+ shape:
384
+ - 2
385
+ dtype: int32
386
+ eef_velocity_action:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ shape:
391
+ - 2
392
+ dtype: int32
393
+ eef_acc_mag_state:
394
+ names:
395
+ - left_eef_acc_mag
396
+ - right_eef_acc_mag
397
+ shape:
398
+ - 2
399
+ dtype: int32
400
+ eef_acc_mag_action:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ authors:
408
+ contributed_by:
409
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
410
+ dataset_description: This dataset uses an extended format based on LeRobot and is
411
+ fully compatible with LeRobot.
412
+ homepage: https://flagopen.github.io/RoboCOIN/
413
+ paper: https://arxiv.org/abs/2511.17441
414
+ repository: https://github.com/FlagOpen/RoboCOIN
415
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
416
+ us.
417
+ support_info: For technical support, please open an issue on our GitHub repository.
418
+ license_details: apache-2.0
419
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
420
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
421
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
422
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
423
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
424
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
425
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
426
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
427
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
428
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
429
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
430
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
431
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
432
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
433
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
434
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
435
+ additional_citations: 'If you use this dataset, please also consider citing:
436
+
437
+ LeRobot Framework: https://github.com/huggingface/lerobot
438
+
439
+ '
440
+ version_info: Initial Release
441
+ data_path: data/chunk-{id}/episode_{id}.parquet
442
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
443
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_network_cable_paper_box.yaml ADDED
@@ -0,0 +1,440 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_network_cable_paper_box
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: box
35
+ level1: home_storage
36
+ level2: box
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: carton
41
+ level1: home_storage
42
+ level2: carton
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: cable
47
+ level1: appliances
48
+ level2: cable
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 box with left hand and put it in the lid, and pick up the cable with
56
+ right hand and put it in the lid.
57
+ sub_tasks:
58
+ - subtask: Grasp the mouse box with the left gripper
59
+ subtask_index: 0
60
+ - subtask: End
61
+ subtask_index: 1
62
+ - subtask: Place the mouse box into the carton with the left gripper
63
+ subtask_index: 2
64
+ - subtask: Place the network cable into the carton with the right gripper
65
+ subtask_index: 3
66
+ - subtask: Grasp the network cable with the right gripper
67
+ subtask_index: 4
68
+ - subtask: 'null'
69
+ subtask_index: 5
70
+ atomic_actions:
71
+ - grasp
72
+ - pick
73
+ - place
74
+ robot_name:
75
+ - Airbot_MMK2
76
+ end_effector_type: five_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
+ - cam_front_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
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
91
+ depth_enabled: false
92
+ coordinate_definition: right-hand-frame
93
+ joint_rotation_dim: radian
94
+ end_rotation_dim: end_rotation_dim
95
+ end_translation_dim: end_translation_dim
96
+ annotations:
97
+ - eef_acc_mag_annotation.jsonl
98
+ - eef_direction_annotation.jsonl
99
+ - eef_velocity_annotation.jsonl
100
+ - gripper_activity_annotation.jsonl
101
+ - gripper_mode_annotation.jsonl
102
+ - scene_annotations.jsonl
103
+ - subtask_annotations.jsonl
104
+ statistics:
105
+ total_episodes: 60
106
+ total_frames: 17028
107
+ fps: 30
108
+ total_tasks: 6
109
+ total_videos: 240
110
+ total_chunks: 1
111
+ chunks_size: 1000
112
+ state_dim: 36
113
+ action_dim: 36
114
+ camera_views: 4
115
+ dataset_size: 729.48 MB
116
+ frame_num: 17028
117
+ dataset_size: 729.48 MB
118
+ data_structure: "Airbot_MMK2_storage_network_cable_paper_box_qced_hardlink/\n|-- annotations\n\
119
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
120
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
121
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
122
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
123
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
124
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
125
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
126
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
127
+ | `-- episode_000011.parquet\n| `-- ... (48 more entries)\n|-- meta\n\
128
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
129
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
130
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
131
+ \ `-- observation.images.cam_right_wrist_rgb"
132
+ splits:
133
+ train: 0:59
134
+ features:
135
+ observation.images.cam_head_rgb:
136
+ dtype: video
137
+ shape:
138
+ - 480
139
+ - 640
140
+ - 3
141
+ names:
142
+ - height
143
+ - width
144
+ - channels
145
+ info:
146
+ video.height: 480
147
+ video.width: 640
148
+ video.codec: av1
149
+ video.pix_fmt: yuv420p
150
+ video.is_depth_map: false
151
+ video.fps: 30
152
+ video.channels: 3
153
+ has_audio: false
154
+ observation.images.cam_left_wrist_rgb:
155
+ dtype: video
156
+ shape:
157
+ - 480
158
+ - 640
159
+ - 3
160
+ names:
161
+ - height
162
+ - width
163
+ - channels
164
+ info:
165
+ video.height: 480
166
+ video.width: 640
167
+ video.codec: av1
168
+ video.pix_fmt: yuv420p
169
+ video.is_depth_map: false
170
+ video.fps: 30
171
+ video.channels: 3
172
+ has_audio: false
173
+ observation.images.cam_right_wrist_rgb:
174
+ dtype: video
175
+ shape:
176
+ - 480
177
+ - 640
178
+ - 3
179
+ names:
180
+ - height
181
+ - width
182
+ - channels
183
+ info:
184
+ video.height: 480
185
+ video.width: 640
186
+ video.codec: av1
187
+ video.pix_fmt: yuv420p
188
+ video.is_depth_map: false
189
+ video.fps: 30
190
+ video.channels: 3
191
+ has_audio: false
192
+ observation.images.cam_front_rgb:
193
+ dtype: video
194
+ shape:
195
+ - 480
196
+ - 640
197
+ - 3
198
+ names:
199
+ - height
200
+ - width
201
+ - channels
202
+ info:
203
+ video.height: 480
204
+ video.width: 640
205
+ video.codec: av1
206
+ video.pix_fmt: yuv420p
207
+ video.is_depth_map: false
208
+ video.fps: 30
209
+ video.channels: 3
210
+ has_audio: false
211
+ observation.state:
212
+ dtype: float32
213
+ shape:
214
+ - 36
215
+ names:
216
+ - left_arm_joint_1_rad
217
+ - left_arm_joint_2_rad
218
+ - left_arm_joint_3_rad
219
+ - left_arm_joint_4_rad
220
+ - left_arm_joint_5_rad
221
+ - left_arm_joint_6_rad
222
+ - right_arm_joint_1_rad
223
+ - right_arm_joint_2_rad
224
+ - right_arm_joint_3_rad
225
+ - right_arm_joint_4_rad
226
+ - right_arm_joint_5_rad
227
+ - right_arm_joint_6_rad
228
+ - left_hand_joint_1_rad
229
+ - left_hand_joint_2_rad
230
+ - left_hand_joint_3_rad
231
+ - left_hand_joint_4_rad
232
+ - left_hand_joint_5_rad
233
+ - left_hand_joint_6_rad
234
+ - left_hand_joint_7_rad
235
+ - left_hand_joint_8_rad
236
+ - left_hand_joint_9_rad
237
+ - left_hand_joint_10_rad
238
+ - left_hand_joint_11_rad
239
+ - left_hand_joint_12_rad
240
+ - right_hand_joint_1_rad
241
+ - right_hand_joint_2_rad
242
+ - right_hand_joint_3_rad
243
+ - right_hand_joint_4_rad
244
+ - right_hand_joint_5_rad
245
+ - right_hand_joint_6_rad
246
+ - right_hand_joint_7_rad
247
+ - right_hand_joint_8_rad
248
+ - right_hand_joint_9_rad
249
+ - right_hand_joint_10_rad
250
+ - right_hand_joint_11_rad
251
+ - right_hand_joint_12_rad
252
+ action:
253
+ dtype: float32
254
+ shape:
255
+ - 36
256
+ names:
257
+ - left_arm_joint_1_rad
258
+ - left_arm_joint_2_rad
259
+ - left_arm_joint_3_rad
260
+ - left_arm_joint_4_rad
261
+ - left_arm_joint_5_rad
262
+ - left_arm_joint_6_rad
263
+ - right_arm_joint_1_rad
264
+ - right_arm_joint_2_rad
265
+ - right_arm_joint_3_rad
266
+ - right_arm_joint_4_rad
267
+ - right_arm_joint_5_rad
268
+ - right_arm_joint_6_rad
269
+ - left_hand_joint_1_rad
270
+ - left_hand_joint_2_rad
271
+ - left_hand_joint_3_rad
272
+ - left_hand_joint_4_rad
273
+ - left_hand_joint_5_rad
274
+ - left_hand_joint_6_rad
275
+ - left_hand_joint_7_rad
276
+ - left_hand_joint_8_rad
277
+ - left_hand_joint_9_rad
278
+ - left_hand_joint_10_rad
279
+ - left_hand_joint_11_rad
280
+ - left_hand_joint_12_rad
281
+ - right_hand_joint_1_rad
282
+ - right_hand_joint_2_rad
283
+ - right_hand_joint_3_rad
284
+ - right_hand_joint_4_rad
285
+ - right_hand_joint_5_rad
286
+ - right_hand_joint_6_rad
287
+ - right_hand_joint_7_rad
288
+ - right_hand_joint_8_rad
289
+ - right_hand_joint_9_rad
290
+ - right_hand_joint_10_rad
291
+ - right_hand_joint_11_rad
292
+ - right_hand_joint_12_rad
293
+ timestamp:
294
+ dtype: float32
295
+ shape:
296
+ - 1
297
+ names: null
298
+ frame_index:
299
+ dtype: int64
300
+ shape:
301
+ - 1
302
+ names: null
303
+ episode_index:
304
+ dtype: int64
305
+ shape:
306
+ - 1
307
+ names: null
308
+ index:
309
+ dtype: int64
310
+ shape:
311
+ - 1
312
+ names: null
313
+ task_index:
314
+ dtype: int64
315
+ shape:
316
+ - 1
317
+ names: null
318
+ subtask_annotation:
319
+ names: null
320
+ shape:
321
+ - 5
322
+ dtype: int32
323
+ scene_annotation:
324
+ names: null
325
+ shape:
326
+ - 1
327
+ dtype: int32
328
+ eef_sim_pose_state:
329
+ names:
330
+ - left_eef_pos_x
331
+ - left_eef_pos_y
332
+ - left_eef_pos_z
333
+ - left_eef_rot_x
334
+ - left_eef_rot_y
335
+ - left_eef_rot_z
336
+ - right_eef_pos_x
337
+ - right_eef_pos_y
338
+ - right_eef_pos_z
339
+ - right_eef_rot_x
340
+ - right_eef_rot_y
341
+ - right_eef_rot_z
342
+ shape:
343
+ - 12
344
+ dtype: float32
345
+ eef_sim_pose_action:
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_direction_state:
363
+ names:
364
+ - left_eef_direction
365
+ - right_eef_direction
366
+ shape:
367
+ - 2
368
+ dtype: int32
369
+ eef_direction_action:
370
+ names:
371
+ - left_eef_direction
372
+ - right_eef_direction
373
+ shape:
374
+ - 2
375
+ dtype: int32
376
+ eef_velocity_state:
377
+ names:
378
+ - left_eef_velocity
379
+ - right_eef_velocity
380
+ shape:
381
+ - 2
382
+ dtype: int32
383
+ eef_velocity_action:
384
+ names:
385
+ - left_eef_velocity
386
+ - right_eef_velocity
387
+ shape:
388
+ - 2
389
+ dtype: int32
390
+ eef_acc_mag_state:
391
+ names:
392
+ - left_eef_acc_mag
393
+ - right_eef_acc_mag
394
+ shape:
395
+ - 2
396
+ dtype: int32
397
+ eef_acc_mag_action:
398
+ names:
399
+ - left_eef_acc_mag
400
+ - right_eef_acc_mag
401
+ shape:
402
+ - 2
403
+ dtype: int32
404
+ authors:
405
+ contributed_by:
406
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
407
+ dataset_description: This dataset uses an extended format based on LeRobot and is
408
+ fully compatible with LeRobot.
409
+ homepage: https://flagopen.github.io/RoboCOIN/
410
+ paper: https://arxiv.org/abs/2511.17441
411
+ repository: https://github.com/FlagOpen/RoboCOIN
412
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
413
+ us.
414
+ support_info: For technical support, please open an issue on our GitHub repository.
415
+ license_details: apache-2.0
416
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
417
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
418
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
419
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
420
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
421
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
422
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
423
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
424
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
425
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
426
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
427
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
428
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
429
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
430
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
431
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
432
+ additional_citations: 'If you use this dataset, please also consider citing:
433
+
434
+ LeRobot Framework: https://github.com/huggingface/lerobot
435
+
436
+ '
437
+ version_info: Initial Release
438
+ data_path: data/chunk-{id}/episode_{id}.parquet
439
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
440
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_paper_box_sponge.yaml ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_paper_box_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: small_black_boxes
35
+ level1: home_storage
36
+ level2: small_black_boxes
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: cleaning_sponge
41
+ level1: daily_necessities
42
+ level2: cleaning_sponge
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: plate
47
+ level1: kitchen_supplies
48
+ level2: plate
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
53
+ the operation type information.
54
+ task_instruction:
55
+ - put the box and the sponge into the plate respectively with left and right hands.
56
+ sub_tasks:
57
+ - subtask: Grasp the sponge with the right gripper
58
+ subtask_index: 0
59
+ - subtask: Place the sponge on the white plate with the right gripper
60
+ subtask_index: 1
61
+ - subtask: Abnormal
62
+ subtask_index: 2
63
+ - subtask: Static
64
+ subtask_index: 3
65
+ - subtask: End
66
+ subtask_index: 4
67
+ - subtask: Place the box on the white plate with the left gripper
68
+ subtask_index: 5
69
+ - subtask: Grasp the box with the left gripper
70
+ subtask_index: 6
71
+ - subtask: 'null'
72
+ subtask_index: 7
73
+ atomic_actions:
74
+ - grasp
75
+ - pick
76
+ - place
77
+ robot_name:
78
+ - Airbot_MMK2
79
+ end_effector_type: five_finger_gripper
80
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
81
+ type information.
82
+ sensor_list:
83
+ - cam_head_rgb
84
+ - cam_left_wrist_rgb
85
+ - cam_right_wrist_rgb
86
+ - cam_front_rgb
87
+ came_info:
88
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
89
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
90
+ pix_fmt=yuv420p
91
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
92
+ pix_fmt=yuv420p
93
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
94
+ depth_enabled: false
95
+ coordinate_definition: right-hand-frame
96
+ joint_rotation_dim: radian
97
+ end_rotation_dim: end_rotation_dim
98
+ end_translation_dim: end_translation_dim
99
+ annotations:
100
+ - eef_acc_mag_annotation.jsonl
101
+ - eef_direction_annotation.jsonl
102
+ - eef_velocity_annotation.jsonl
103
+ - gripper_activity_annotation.jsonl
104
+ - gripper_mode_annotation.jsonl
105
+ - scene_annotations.jsonl
106
+ - subtask_annotations.jsonl
107
+ statistics:
108
+ total_episodes: 49
109
+ total_frames: 9624
110
+ fps: 30
111
+ total_tasks: 8
112
+ total_videos: 196
113
+ total_chunks: 1
114
+ chunks_size: 1000
115
+ state_dim: 36
116
+ action_dim: 36
117
+ camera_views: 4
118
+ dataset_size: 304.37 MB
119
+ frame_num: 9624
120
+ dataset_size: 304.37 MB
121
+ data_structure: "Airbot_MMK2_storage_paper_box_sponge_qced_hardlink/\n|-- annotations\n\
122
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
123
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
124
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
125
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
126
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
127
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
128
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
129
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
130
+ | `-- episode_000011.parquet\n| `-- ... (37 more entries)\n|-- meta\n\
131
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
132
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
133
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
134
+ \ `-- observation.images.cam_right_wrist_rgb"
135
+ splits:
136
+ train: 0:48
137
+ features:
138
+ observation.images.cam_head_rgb:
139
+ dtype: video
140
+ shape:
141
+ - 480
142
+ - 640
143
+ - 3
144
+ names:
145
+ - height
146
+ - width
147
+ - channels
148
+ info:
149
+ video.height: 480
150
+ video.width: 640
151
+ video.codec: av1
152
+ video.pix_fmt: yuv420p
153
+ video.is_depth_map: false
154
+ video.fps: 30
155
+ video.channels: 3
156
+ has_audio: false
157
+ observation.images.cam_left_wrist_rgb:
158
+ dtype: video
159
+ shape:
160
+ - 480
161
+ - 640
162
+ - 3
163
+ names:
164
+ - height
165
+ - width
166
+ - channels
167
+ info:
168
+ video.height: 480
169
+ video.width: 640
170
+ video.codec: av1
171
+ video.pix_fmt: yuv420p
172
+ video.is_depth_map: false
173
+ video.fps: 30
174
+ video.channels: 3
175
+ has_audio: false
176
+ observation.images.cam_right_wrist_rgb:
177
+ dtype: video
178
+ shape:
179
+ - 480
180
+ - 640
181
+ - 3
182
+ names:
183
+ - height
184
+ - width
185
+ - channels
186
+ info:
187
+ video.height: 480
188
+ video.width: 640
189
+ video.codec: av1
190
+ video.pix_fmt: yuv420p
191
+ video.is_depth_map: false
192
+ video.fps: 30
193
+ video.channels: 3
194
+ has_audio: false
195
+ observation.images.cam_front_rgb:
196
+ dtype: video
197
+ shape:
198
+ - 480
199
+ - 640
200
+ - 3
201
+ names:
202
+ - height
203
+ - width
204
+ - channels
205
+ info:
206
+ video.height: 480
207
+ video.width: 640
208
+ video.codec: av1
209
+ video.pix_fmt: yuv420p
210
+ video.is_depth_map: false
211
+ video.fps: 30
212
+ video.channels: 3
213
+ has_audio: false
214
+ observation.state:
215
+ dtype: float32
216
+ shape:
217
+ - 36
218
+ names:
219
+ - left_arm_joint_1_rad
220
+ - left_arm_joint_2_rad
221
+ - left_arm_joint_3_rad
222
+ - left_arm_joint_4_rad
223
+ - left_arm_joint_5_rad
224
+ - left_arm_joint_6_rad
225
+ - right_arm_joint_1_rad
226
+ - right_arm_joint_2_rad
227
+ - right_arm_joint_3_rad
228
+ - right_arm_joint_4_rad
229
+ - right_arm_joint_5_rad
230
+ - right_arm_joint_6_rad
231
+ - left_hand_joint_1_rad
232
+ - left_hand_joint_2_rad
233
+ - left_hand_joint_3_rad
234
+ - left_hand_joint_4_rad
235
+ - left_hand_joint_5_rad
236
+ - left_hand_joint_6_rad
237
+ - left_hand_joint_7_rad
238
+ - left_hand_joint_8_rad
239
+ - left_hand_joint_9_rad
240
+ - left_hand_joint_10_rad
241
+ - left_hand_joint_11_rad
242
+ - left_hand_joint_12_rad
243
+ - right_hand_joint_1_rad
244
+ - right_hand_joint_2_rad
245
+ - right_hand_joint_3_rad
246
+ - right_hand_joint_4_rad
247
+ - right_hand_joint_5_rad
248
+ - right_hand_joint_6_rad
249
+ - right_hand_joint_7_rad
250
+ - right_hand_joint_8_rad
251
+ - right_hand_joint_9_rad
252
+ - right_hand_joint_10_rad
253
+ - right_hand_joint_11_rad
254
+ - right_hand_joint_12_rad
255
+ action:
256
+ dtype: float32
257
+ shape:
258
+ - 36
259
+ names:
260
+ - left_arm_joint_1_rad
261
+ - left_arm_joint_2_rad
262
+ - left_arm_joint_3_rad
263
+ - left_arm_joint_4_rad
264
+ - left_arm_joint_5_rad
265
+ - left_arm_joint_6_rad
266
+ - right_arm_joint_1_rad
267
+ - right_arm_joint_2_rad
268
+ - right_arm_joint_3_rad
269
+ - right_arm_joint_4_rad
270
+ - right_arm_joint_5_rad
271
+ - right_arm_joint_6_rad
272
+ - left_hand_joint_1_rad
273
+ - left_hand_joint_2_rad
274
+ - left_hand_joint_3_rad
275
+ - left_hand_joint_4_rad
276
+ - left_hand_joint_5_rad
277
+ - left_hand_joint_6_rad
278
+ - left_hand_joint_7_rad
279
+ - left_hand_joint_8_rad
280
+ - left_hand_joint_9_rad
281
+ - left_hand_joint_10_rad
282
+ - left_hand_joint_11_rad
283
+ - left_hand_joint_12_rad
284
+ - right_hand_joint_1_rad
285
+ - right_hand_joint_2_rad
286
+ - right_hand_joint_3_rad
287
+ - right_hand_joint_4_rad
288
+ - right_hand_joint_5_rad
289
+ - right_hand_joint_6_rad
290
+ - right_hand_joint_7_rad
291
+ - right_hand_joint_8_rad
292
+ - right_hand_joint_9_rad
293
+ - right_hand_joint_10_rad
294
+ - right_hand_joint_11_rad
295
+ - right_hand_joint_12_rad
296
+ timestamp:
297
+ dtype: float32
298
+ shape:
299
+ - 1
300
+ names: null
301
+ frame_index:
302
+ dtype: int64
303
+ shape:
304
+ - 1
305
+ names: null
306
+ episode_index:
307
+ dtype: int64
308
+ shape:
309
+ - 1
310
+ names: null
311
+ index:
312
+ dtype: int64
313
+ shape:
314
+ - 1
315
+ names: null
316
+ task_index:
317
+ dtype: int64
318
+ shape:
319
+ - 1
320
+ names: null
321
+ subtask_annotation:
322
+ names: null
323
+ shape:
324
+ - 5
325
+ dtype: int32
326
+ scene_annotation:
327
+ names: null
328
+ shape:
329
+ - 1
330
+ dtype: int32
331
+ eef_sim_pose_state:
332
+ names:
333
+ - left_eef_pos_x
334
+ - left_eef_pos_y
335
+ - left_eef_pos_z
336
+ - left_eef_rot_x
337
+ - left_eef_rot_y
338
+ - left_eef_rot_z
339
+ - right_eef_pos_x
340
+ - right_eef_pos_y
341
+ - right_eef_pos_z
342
+ - right_eef_rot_x
343
+ - right_eef_rot_y
344
+ - right_eef_rot_z
345
+ shape:
346
+ - 12
347
+ dtype: float32
348
+ eef_sim_pose_action:
349
+ names:
350
+ - left_eef_pos_x
351
+ - left_eef_pos_y
352
+ - left_eef_pos_z
353
+ - left_eef_rot_x
354
+ - left_eef_rot_y
355
+ - left_eef_rot_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_rot_x
360
+ - right_eef_rot_y
361
+ - right_eef_rot_z
362
+ shape:
363
+ - 12
364
+ dtype: float32
365
+ eef_direction_state:
366
+ names:
367
+ - left_eef_direction
368
+ - right_eef_direction
369
+ shape:
370
+ - 2
371
+ dtype: int32
372
+ eef_direction_action:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ shape:
377
+ - 2
378
+ dtype: int32
379
+ eef_velocity_state:
380
+ names:
381
+ - left_eef_velocity
382
+ - right_eef_velocity
383
+ shape:
384
+ - 2
385
+ dtype: int32
386
+ eef_velocity_action:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ shape:
391
+ - 2
392
+ dtype: int32
393
+ eef_acc_mag_state:
394
+ names:
395
+ - left_eef_acc_mag
396
+ - right_eef_acc_mag
397
+ shape:
398
+ - 2
399
+ dtype: int32
400
+ eef_acc_mag_action:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ authors:
408
+ contributed_by:
409
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
410
+ dataset_description: This dataset uses an extended format based on LeRobot and is
411
+ fully compatible with LeRobot.
412
+ homepage: https://flagopen.github.io/RoboCOIN/
413
+ paper: https://arxiv.org/abs/2511.17441
414
+ repository: https://github.com/FlagOpen/RoboCOIN
415
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
416
+ us.
417
+ support_info: For technical support, please open an issue on our GitHub repository.
418
+ license_details: apache-2.0
419
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
420
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
421
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
422
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
423
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
424
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
425
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
426
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
427
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
428
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
429
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
430
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
431
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
432
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
433
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
434
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
435
+ additional_citations: 'If you use this dataset, please also consider citing:
436
+
437
+ LeRobot Framework: https://github.com/huggingface/lerobot
438
+
439
+ '
440
+ version_info: Initial Release
441
+ data_path: data/chunk-{id}/episode_{id}.parquet
442
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
443
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_pineapple.yaml ADDED
@@ -0,0 +1,429 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_pineapple
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: pineapple
35
+ level1: fruit
36
+ level2: pineapple
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: storage_box
41
+ level1: storage_utensils
42
+ level2: storage_box
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 pineapple with right hand and put it into the storage box.
50
+ sub_tasks:
51
+ - subtask: Place the pineapple into the storage box with the right gripper
52
+ subtask_index: 0
53
+ - subtask: End
54
+ subtask_index: 1
55
+ - subtask: Grasp the pineapple with the right gripper
56
+ subtask_index: 2
57
+ - subtask: 'null'
58
+ subtask_index: 3
59
+ atomic_actions:
60
+ - grasp
61
+ - pick
62
+ - place
63
+ robot_name:
64
+ - Airbot_MMK2
65
+ end_effector_type: five_finger_gripper
66
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
67
+ type information.
68
+ sensor_list:
69
+ - cam_head_rgb
70
+ - cam_left_wrist_rgb
71
+ - cam_right_wrist_rgb
72
+ - cam_front_rgb
73
+ came_info:
74
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
75
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
76
+ pix_fmt=yuv420p
77
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
78
+ pix_fmt=yuv420p
79
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
80
+ depth_enabled: false
81
+ coordinate_definition: right-hand-frame
82
+ joint_rotation_dim: radian
83
+ end_rotation_dim: end_rotation_dim
84
+ end_translation_dim: end_translation_dim
85
+ annotations:
86
+ - eef_acc_mag_annotation.jsonl
87
+ - eef_direction_annotation.jsonl
88
+ - eef_velocity_annotation.jsonl
89
+ - gripper_activity_annotation.jsonl
90
+ - gripper_mode_annotation.jsonl
91
+ - scene_annotations.jsonl
92
+ - subtask_annotations.jsonl
93
+ statistics:
94
+ total_episodes: 49
95
+ total_frames: 5219
96
+ fps: 30
97
+ total_tasks: 4
98
+ total_videos: 196
99
+ total_chunks: 1
100
+ chunks_size: 1000
101
+ state_dim: 36
102
+ action_dim: 36
103
+ camera_views: 4
104
+ dataset_size: 140.76 MB
105
+ frame_num: 5219
106
+ dataset_size: 140.76 MB
107
+ data_structure: "Airbot_MMK2_storage_pineapple_qced_hardlink/\n|-- annotations\n|\
108
+ \ |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
109
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
110
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
111
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
112
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
113
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
114
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
115
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
116
+ | `-- episode_000011.parquet\n| `-- ... (37 more entries)\n|-- meta\n\
117
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
118
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
119
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
120
+ \ `-- observation.images.cam_right_wrist_rgb"
121
+ splits:
122
+ train: 0:48
123
+ features:
124
+ observation.images.cam_head_rgb:
125
+ dtype: video
126
+ shape:
127
+ - 480
128
+ - 640
129
+ - 3
130
+ names:
131
+ - height
132
+ - width
133
+ - channels
134
+ info:
135
+ video.height: 480
136
+ video.width: 640
137
+ video.codec: av1
138
+ video.pix_fmt: yuv420p
139
+ video.is_depth_map: false
140
+ video.fps: 30
141
+ video.channels: 3
142
+ has_audio: false
143
+ observation.images.cam_left_wrist_rgb:
144
+ dtype: video
145
+ shape:
146
+ - 480
147
+ - 640
148
+ - 3
149
+ names:
150
+ - height
151
+ - width
152
+ - channels
153
+ info:
154
+ video.height: 480
155
+ video.width: 640
156
+ video.codec: av1
157
+ video.pix_fmt: yuv420p
158
+ video.is_depth_map: false
159
+ video.fps: 30
160
+ video.channels: 3
161
+ has_audio: false
162
+ observation.images.cam_right_wrist_rgb:
163
+ dtype: video
164
+ shape:
165
+ - 480
166
+ - 640
167
+ - 3
168
+ names:
169
+ - height
170
+ - width
171
+ - channels
172
+ info:
173
+ video.height: 480
174
+ video.width: 640
175
+ video.codec: av1
176
+ video.pix_fmt: yuv420p
177
+ video.is_depth_map: false
178
+ video.fps: 30
179
+ video.channels: 3
180
+ has_audio: false
181
+ observation.images.cam_front_rgb:
182
+ dtype: video
183
+ shape:
184
+ - 480
185
+ - 640
186
+ - 3
187
+ names:
188
+ - height
189
+ - width
190
+ - channels
191
+ info:
192
+ video.height: 480
193
+ video.width: 640
194
+ video.codec: av1
195
+ video.pix_fmt: yuv420p
196
+ video.is_depth_map: false
197
+ video.fps: 30
198
+ video.channels: 3
199
+ has_audio: false
200
+ observation.state:
201
+ dtype: float32
202
+ shape:
203
+ - 36
204
+ names:
205
+ - left_arm_joint_1_rad
206
+ - left_arm_joint_2_rad
207
+ - left_arm_joint_3_rad
208
+ - left_arm_joint_4_rad
209
+ - left_arm_joint_5_rad
210
+ - left_arm_joint_6_rad
211
+ - right_arm_joint_1_rad
212
+ - right_arm_joint_2_rad
213
+ - right_arm_joint_3_rad
214
+ - right_arm_joint_4_rad
215
+ - right_arm_joint_5_rad
216
+ - right_arm_joint_6_rad
217
+ - left_hand_joint_1_rad
218
+ - left_hand_joint_2_rad
219
+ - left_hand_joint_3_rad
220
+ - left_hand_joint_4_rad
221
+ - left_hand_joint_5_rad
222
+ - left_hand_joint_6_rad
223
+ - left_hand_joint_7_rad
224
+ - left_hand_joint_8_rad
225
+ - left_hand_joint_9_rad
226
+ - left_hand_joint_10_rad
227
+ - left_hand_joint_11_rad
228
+ - left_hand_joint_12_rad
229
+ - right_hand_joint_1_rad
230
+ - right_hand_joint_2_rad
231
+ - right_hand_joint_3_rad
232
+ - right_hand_joint_4_rad
233
+ - right_hand_joint_5_rad
234
+ - right_hand_joint_6_rad
235
+ - right_hand_joint_7_rad
236
+ - right_hand_joint_8_rad
237
+ - right_hand_joint_9_rad
238
+ - right_hand_joint_10_rad
239
+ - right_hand_joint_11_rad
240
+ - right_hand_joint_12_rad
241
+ action:
242
+ dtype: float32
243
+ shape:
244
+ - 36
245
+ names:
246
+ - left_arm_joint_1_rad
247
+ - left_arm_joint_2_rad
248
+ - left_arm_joint_3_rad
249
+ - left_arm_joint_4_rad
250
+ - left_arm_joint_5_rad
251
+ - left_arm_joint_6_rad
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
+ - left_hand_joint_1_rad
259
+ - left_hand_joint_2_rad
260
+ - left_hand_joint_3_rad
261
+ - left_hand_joint_4_rad
262
+ - left_hand_joint_5_rad
263
+ - left_hand_joint_6_rad
264
+ - left_hand_joint_7_rad
265
+ - left_hand_joint_8_rad
266
+ - left_hand_joint_9_rad
267
+ - left_hand_joint_10_rad
268
+ - left_hand_joint_11_rad
269
+ - left_hand_joint_12_rad
270
+ - right_hand_joint_1_rad
271
+ - right_hand_joint_2_rad
272
+ - right_hand_joint_3_rad
273
+ - right_hand_joint_4_rad
274
+ - right_hand_joint_5_rad
275
+ - right_hand_joint_6_rad
276
+ - right_hand_joint_7_rad
277
+ - right_hand_joint_8_rad
278
+ - right_hand_joint_9_rad
279
+ - right_hand_joint_10_rad
280
+ - right_hand_joint_11_rad
281
+ - right_hand_joint_12_rad
282
+ timestamp:
283
+ dtype: float32
284
+ shape:
285
+ - 1
286
+ names: null
287
+ frame_index:
288
+ dtype: int64
289
+ shape:
290
+ - 1
291
+ names: null
292
+ episode_index:
293
+ dtype: int64
294
+ shape:
295
+ - 1
296
+ names: null
297
+ index:
298
+ dtype: int64
299
+ shape:
300
+ - 1
301
+ names: null
302
+ task_index:
303
+ dtype: int64
304
+ shape:
305
+ - 1
306
+ names: null
307
+ subtask_annotation:
308
+ names: null
309
+ shape:
310
+ - 5
311
+ dtype: int32
312
+ scene_annotation:
313
+ names: null
314
+ shape:
315
+ - 1
316
+ dtype: int32
317
+ eef_sim_pose_state:
318
+ names:
319
+ - left_eef_pos_x
320
+ - left_eef_pos_y
321
+ - left_eef_pos_z
322
+ - left_eef_rot_x
323
+ - left_eef_rot_y
324
+ - left_eef_rot_z
325
+ - right_eef_pos_x
326
+ - right_eef_pos_y
327
+ - right_eef_pos_z
328
+ - right_eef_rot_x
329
+ - right_eef_rot_y
330
+ - right_eef_rot_z
331
+ shape:
332
+ - 12
333
+ dtype: float32
334
+ eef_sim_pose_action:
335
+ names:
336
+ - left_eef_pos_x
337
+ - left_eef_pos_y
338
+ - left_eef_pos_z
339
+ - left_eef_rot_x
340
+ - left_eef_rot_y
341
+ - left_eef_rot_z
342
+ - right_eef_pos_x
343
+ - right_eef_pos_y
344
+ - right_eef_pos_z
345
+ - right_eef_rot_x
346
+ - right_eef_rot_y
347
+ - right_eef_rot_z
348
+ shape:
349
+ - 12
350
+ dtype: float32
351
+ eef_direction_state:
352
+ names:
353
+ - left_eef_direction
354
+ - right_eef_direction
355
+ shape:
356
+ - 2
357
+ dtype: int32
358
+ eef_direction_action:
359
+ names:
360
+ - left_eef_direction
361
+ - right_eef_direction
362
+ shape:
363
+ - 2
364
+ dtype: int32
365
+ eef_velocity_state:
366
+ names:
367
+ - left_eef_velocity
368
+ - right_eef_velocity
369
+ shape:
370
+ - 2
371
+ dtype: int32
372
+ eef_velocity_action:
373
+ names:
374
+ - left_eef_velocity
375
+ - right_eef_velocity
376
+ shape:
377
+ - 2
378
+ dtype: int32
379
+ eef_acc_mag_state:
380
+ names:
381
+ - left_eef_acc_mag
382
+ - right_eef_acc_mag
383
+ shape:
384
+ - 2
385
+ dtype: int32
386
+ eef_acc_mag_action:
387
+ names:
388
+ - left_eef_acc_mag
389
+ - right_eef_acc_mag
390
+ shape:
391
+ - 2
392
+ dtype: int32
393
+ authors:
394
+ contributed_by:
395
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
396
+ dataset_description: This dataset uses an extended format based on LeRobot and is
397
+ fully compatible with LeRobot.
398
+ homepage: https://flagopen.github.io/RoboCOIN/
399
+ paper: https://arxiv.org/abs/2511.17441
400
+ repository: https://github.com/FlagOpen/RoboCOIN
401
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
402
+ us.
403
+ support_info: For technical support, please open an issue on our GitHub repository.
404
+ license_details: apache-2.0
405
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
406
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
407
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
408
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
409
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
410
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
411
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
412
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
413
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
414
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
415
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
416
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
417
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
418
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
419
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
420
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
421
+ additional_citations: 'If you use this dataset, please also consider citing:
422
+
423
+ LeRobot Framework: https://github.com/huggingface/lerobot
424
+
425
+ '
426
+ version_info: Initial Release
427
+ data_path: data/chunk-{id}/episode_{id}.parquet
428
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
429
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_potato_left.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_storage_potato_left
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: potato
35
+ level1: vegetables
36
+ level2: potato
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: storage_box
41
+ level1: storage_utensils
42
+ level2: storage_box
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 potato with left hand and put it in the storage box.
50
+ sub_tasks:
51
+ - subtask: Grasp the potato with the right gripper
52
+ subtask_index: 0
53
+ - subtask: Grasp the potato with the left gripper
54
+ subtask_index: 1
55
+ - subtask: Abnormal
56
+ subtask_index: 2
57
+ - subtask: Place the potato into the left compartment of the storage box with the
58
+ left gripper
59
+ subtask_index: 3
60
+ - subtask: End
61
+ subtask_index: 4
62
+ - subtask: Static
63
+ subtask_index: 5
64
+ - subtask: Place the potato into the right compartment of the storage box with the
65
+ right gripper
66
+ subtask_index: 6
67
+ - subtask: 'null'
68
+ subtask_index: 7
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: 69
105
+ total_frames: 8728
106
+ fps: 30
107
+ total_tasks: 8
108
+ total_videos: 276
109
+ total_chunks: 1
110
+ chunks_size: 1000
111
+ state_dim: 36
112
+ action_dim: 36
113
+ camera_views: 4
114
+ dataset_size: 322.26 MB
115
+ frame_num: 8728
116
+ dataset_size: 322.26 MB
117
+ data_structure: "Airbot_MMK2_Airbot_MMK2_storage_potato_left_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| `-- ... (57 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: 0:68
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/Airbot_MMK2_storage_potato_pumpkin.yaml ADDED
@@ -0,0 +1,442 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Airbot_MMK2_storage_potato_pumpkin
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: potato
35
+ level1: vegetables
36
+ level2: potato
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: pumpkin
41
+ level1: vegetables
42
+ level2: pumpkin
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: storage_box
47
+ level1: storage_utensils
48
+ level2: storage_box
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 potato with left hand and put it in the storage box, and pick up the
56
+ pumpkin with right hand and put it in the storage box.
57
+ sub_tasks:
58
+ - subtask: Grasp the pumpkin with the right gripper
59
+ subtask_index: 0
60
+ - subtask: Grasp the potato with the left gripper
61
+ subtask_index: 1
62
+ - subtask: Place the potato into the left compartment of the storage box with the
63
+ left gripper
64
+ subtask_index: 2
65
+ - subtask: End
66
+ subtask_index: 3
67
+ - subtask: Place the pumpkin into the right compartment of the storage box with the
68
+ right gripper
69
+ subtask_index: 4
70
+ - subtask: 'null'
71
+ subtask_index: 5
72
+ atomic_actions:
73
+ - pick
74
+ - place
75
+ - grasp
76
+ robot_name:
77
+ - Airbot_MMK2
78
+ end_effector_type: five_finger_gripper
79
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
80
+ type information.
81
+ sensor_list:
82
+ - cam_head_rgb
83
+ - cam_left_wrist_rgb
84
+ - cam_right_wrist_rgb
85
+ - cam_front_rgb
86
+ came_info:
87
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
93
+ depth_enabled: false
94
+ coordinate_definition: right-hand-frame
95
+ joint_rotation_dim: radian
96
+ end_rotation_dim: end_rotation_dim
97
+ end_translation_dim: end_translation_dim
98
+ annotations:
99
+ - eef_acc_mag_annotation.jsonl
100
+ - eef_direction_annotation.jsonl
101
+ - eef_velocity_annotation.jsonl
102
+ - gripper_activity_annotation.jsonl
103
+ - gripper_mode_annotation.jsonl
104
+ - scene_annotations.jsonl
105
+ - subtask_annotations.jsonl
106
+ statistics:
107
+ total_episodes: 41
108
+ total_frames: 9965
109
+ fps: 30
110
+ total_tasks: 6
111
+ total_videos: 164
112
+ total_chunks: 1
113
+ chunks_size: 1000
114
+ state_dim: 36
115
+ action_dim: 36
116
+ camera_views: 4
117
+ dataset_size: 288.93 MB
118
+ frame_num: 9965
119
+ dataset_size: 288.93 MB
120
+ data_structure: "Airbot_MMK2_Airbot_MMK2_storage_potato_pumpkin_qced_hardlink/\n|--\
121
+ \ annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n\
122
+ | |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
123
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
124
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
125
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
126
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
127
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
128
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
129
+ | `-- episode_000011.parquet\n| `-- ... (29 more entries)\n|-- meta\n\
130
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
131
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
132
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
133
+ \ `-- observation.images.cam_right_wrist_rgb"
134
+ splits:
135
+ train: 0:40
136
+ features:
137
+ observation.images.cam_head_rgb:
138
+ dtype: video
139
+ shape:
140
+ - 480
141
+ - 640
142
+ - 3
143
+ names:
144
+ - height
145
+ - width
146
+ - channels
147
+ info:
148
+ video.height: 480
149
+ video.width: 640
150
+ video.codec: av1
151
+ video.pix_fmt: yuv420p
152
+ video.is_depth_map: false
153
+ video.fps: 30
154
+ video.channels: 3
155
+ has_audio: false
156
+ observation.images.cam_left_wrist_rgb:
157
+ dtype: video
158
+ shape:
159
+ - 480
160
+ - 640
161
+ - 3
162
+ names:
163
+ - height
164
+ - width
165
+ - channels
166
+ info:
167
+ video.height: 480
168
+ video.width: 640
169
+ video.codec: av1
170
+ video.pix_fmt: yuv420p
171
+ video.is_depth_map: false
172
+ video.fps: 30
173
+ video.channels: 3
174
+ has_audio: false
175
+ observation.images.cam_right_wrist_rgb:
176
+ dtype: video
177
+ shape:
178
+ - 480
179
+ - 640
180
+ - 3
181
+ names:
182
+ - height
183
+ - width
184
+ - channels
185
+ info:
186
+ video.height: 480
187
+ video.width: 640
188
+ video.codec: av1
189
+ video.pix_fmt: yuv420p
190
+ video.is_depth_map: false
191
+ video.fps: 30
192
+ video.channels: 3
193
+ has_audio: false
194
+ observation.images.cam_front_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.state:
214
+ dtype: float32
215
+ shape:
216
+ - 36
217
+ names:
218
+ - left_arm_joint_1_rad
219
+ - left_arm_joint_2_rad
220
+ - left_arm_joint_3_rad
221
+ - left_arm_joint_4_rad
222
+ - left_arm_joint_5_rad
223
+ - left_arm_joint_6_rad
224
+ - right_arm_joint_1_rad
225
+ - right_arm_joint_2_rad
226
+ - right_arm_joint_3_rad
227
+ - right_arm_joint_4_rad
228
+ - right_arm_joint_5_rad
229
+ - right_arm_joint_6_rad
230
+ - left_hand_joint_1_rad
231
+ - left_hand_joint_2_rad
232
+ - left_hand_joint_3_rad
233
+ - left_hand_joint_4_rad
234
+ - left_hand_joint_5_rad
235
+ - left_hand_joint_6_rad
236
+ - left_hand_joint_7_rad
237
+ - left_hand_joint_8_rad
238
+ - left_hand_joint_9_rad
239
+ - left_hand_joint_10_rad
240
+ - left_hand_joint_11_rad
241
+ - left_hand_joint_12_rad
242
+ - right_hand_joint_1_rad
243
+ - right_hand_joint_2_rad
244
+ - right_hand_joint_3_rad
245
+ - right_hand_joint_4_rad
246
+ - right_hand_joint_5_rad
247
+ - right_hand_joint_6_rad
248
+ - right_hand_joint_7_rad
249
+ - right_hand_joint_8_rad
250
+ - right_hand_joint_9_rad
251
+ - right_hand_joint_10_rad
252
+ - right_hand_joint_11_rad
253
+ - right_hand_joint_12_rad
254
+ action:
255
+ dtype: float32
256
+ shape:
257
+ - 36
258
+ names:
259
+ - left_arm_joint_1_rad
260
+ - left_arm_joint_2_rad
261
+ - left_arm_joint_3_rad
262
+ - left_arm_joint_4_rad
263
+ - left_arm_joint_5_rad
264
+ - left_arm_joint_6_rad
265
+ - right_arm_joint_1_rad
266
+ - right_arm_joint_2_rad
267
+ - right_arm_joint_3_rad
268
+ - right_arm_joint_4_rad
269
+ - right_arm_joint_5_rad
270
+ - right_arm_joint_6_rad
271
+ - left_hand_joint_1_rad
272
+ - left_hand_joint_2_rad
273
+ - left_hand_joint_3_rad
274
+ - left_hand_joint_4_rad
275
+ - left_hand_joint_5_rad
276
+ - left_hand_joint_6_rad
277
+ - left_hand_joint_7_rad
278
+ - left_hand_joint_8_rad
279
+ - left_hand_joint_9_rad
280
+ - left_hand_joint_10_rad
281
+ - left_hand_joint_11_rad
282
+ - left_hand_joint_12_rad
283
+ - right_hand_joint_1_rad
284
+ - right_hand_joint_2_rad
285
+ - right_hand_joint_3_rad
286
+ - right_hand_joint_4_rad
287
+ - right_hand_joint_5_rad
288
+ - right_hand_joint_6_rad
289
+ - right_hand_joint_7_rad
290
+ - right_hand_joint_8_rad
291
+ - right_hand_joint_9_rad
292
+ - right_hand_joint_10_rad
293
+ - right_hand_joint_11_rad
294
+ - right_hand_joint_12_rad
295
+ timestamp:
296
+ dtype: float32
297
+ shape:
298
+ - 1
299
+ names: null
300
+ frame_index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ episode_index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ task_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ subtask_annotation:
321
+ names: null
322
+ shape:
323
+ - 5
324
+ dtype: int32
325
+ scene_annotation:
326
+ names: null
327
+ shape:
328
+ - 1
329
+ dtype: int32
330
+ eef_sim_pose_state:
331
+ names:
332
+ - left_eef_pos_x
333
+ - left_eef_pos_y
334
+ - left_eef_pos_z
335
+ - left_eef_rot_x
336
+ - left_eef_rot_y
337
+ - left_eef_rot_z
338
+ - right_eef_pos_x
339
+ - right_eef_pos_y
340
+ - right_eef_pos_z
341
+ - right_eef_rot_x
342
+ - right_eef_rot_y
343
+ - right_eef_rot_z
344
+ shape:
345
+ - 12
346
+ dtype: float32
347
+ eef_sim_pose_action:
348
+ names:
349
+ - left_eef_pos_x
350
+ - left_eef_pos_y
351
+ - left_eef_pos_z
352
+ - left_eef_rot_x
353
+ - left_eef_rot_y
354
+ - left_eef_rot_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_rot_x
359
+ - right_eef_rot_y
360
+ - right_eef_rot_z
361
+ shape:
362
+ - 12
363
+ dtype: float32
364
+ eef_direction_state:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_direction_action:
372
+ names:
373
+ - left_eef_direction
374
+ - right_eef_direction
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_state:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_velocity_action:
386
+ names:
387
+ - left_eef_velocity
388
+ - right_eef_velocity
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_state:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ eef_acc_mag_action:
400
+ names:
401
+ - left_eef_acc_mag
402
+ - right_eef_acc_mag
403
+ shape:
404
+ - 2
405
+ dtype: int32
406
+ authors:
407
+ contributed_by:
408
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
409
+ dataset_description: This dataset uses an extended format based on LeRobot and is
410
+ fully compatible with LeRobot.
411
+ homepage: https://flagopen.github.io/RoboCOIN/
412
+ paper: https://arxiv.org/abs/2511.17441
413
+ repository: https://github.com/FlagOpen/RoboCOIN
414
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
415
+ us.
416
+ support_info: For technical support, please open an issue on our GitHub repository.
417
+ license_details: apache-2.0
418
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
419
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
420
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
421
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
422
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
423
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
424
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
425
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
426
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
427
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
428
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
429
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
430
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
431
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
432
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
433
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
434
+ additional_citations: 'If you use this dataset, please also consider citing:
435
+
436
+ LeRobot Framework: https://github.com/huggingface/lerobot
437
+
438
+ '
439
+ version_info: Initial Release
440
+ data_path: data/chunk-{id}/episode_{id}.parquet
441
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
442
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_pumpkin_left.yaml ADDED
@@ -0,0 +1,431 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_pumpkin_left
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: pumpkin
35
+ level1: vegetables
36
+ level2: pumpkin
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: bowl
41
+ level1: kitchen_supplies
42
+ level2: bowl
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 pumpkin with left hand and put it in the bowl.
50
+ sub_tasks:
51
+ - subtask: End
52
+ subtask_index: 0
53
+ - subtask: Static
54
+ subtask_index: 1
55
+ - subtask: Grasp the pumpkin with the left gripper
56
+ subtask_index: 2
57
+ - subtask: Place the pumpkin on the pink bowl with the left gripper
58
+ subtask_index: 3
59
+ - subtask: 'null'
60
+ subtask_index: 4
61
+ atomic_actions:
62
+ - grasp
63
+ - pick
64
+ - place
65
+ robot_name:
66
+ - Airbot_MMK2
67
+ end_effector_type: five_finger_gripper
68
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
69
+ type information.
70
+ sensor_list:
71
+ - cam_head_rgb
72
+ - cam_left_wrist_rgb
73
+ - cam_right_wrist_rgb
74
+ - cam_front_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
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
82
+ depth_enabled: false
83
+ coordinate_definition: right-hand-frame
84
+ joint_rotation_dim: radian
85
+ end_rotation_dim: end_rotation_dim
86
+ end_translation_dim: end_translation_dim
87
+ annotations:
88
+ - eef_acc_mag_annotation.jsonl
89
+ - eef_direction_annotation.jsonl
90
+ - eef_velocity_annotation.jsonl
91
+ - gripper_activity_annotation.jsonl
92
+ - gripper_mode_annotation.jsonl
93
+ - scene_annotations.jsonl
94
+ - subtask_annotations.jsonl
95
+ statistics:
96
+ total_episodes: 50
97
+ total_frames: 6026
98
+ fps: 30
99
+ total_tasks: 5
100
+ total_videos: 200
101
+ total_chunks: 1
102
+ chunks_size: 1000
103
+ state_dim: 36
104
+ action_dim: 36
105
+ camera_views: 4
106
+ dataset_size: 227.20 MB
107
+ frame_num: 6026
108
+ dataset_size: 227.20 MB
109
+ data_structure: "Airbot_MMK2_Airbot_MMK2_storage_pumpkin_left_qced_hardlink/\n|--\
110
+ \ annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n\
111
+ | |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
112
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
113
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
114
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
115
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
116
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
117
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
118
+ | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\
119
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
120
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
121
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
122
+ \ `-- observation.images.cam_right_wrist_rgb"
123
+ splits:
124
+ train: 0:49
125
+ features:
126
+ observation.images.cam_head_rgb:
127
+ dtype: video
128
+ shape:
129
+ - 480
130
+ - 640
131
+ - 3
132
+ names:
133
+ - height
134
+ - width
135
+ - channels
136
+ info:
137
+ video.height: 480
138
+ video.width: 640
139
+ video.codec: av1
140
+ video.pix_fmt: yuv420p
141
+ video.is_depth_map: false
142
+ video.fps: 30
143
+ video.channels: 3
144
+ has_audio: false
145
+ observation.images.cam_left_wrist_rgb:
146
+ dtype: video
147
+ shape:
148
+ - 480
149
+ - 640
150
+ - 3
151
+ names:
152
+ - height
153
+ - width
154
+ - channels
155
+ info:
156
+ video.height: 480
157
+ video.width: 640
158
+ video.codec: av1
159
+ video.pix_fmt: yuv420p
160
+ video.is_depth_map: false
161
+ video.fps: 30
162
+ video.channels: 3
163
+ has_audio: false
164
+ observation.images.cam_right_wrist_rgb:
165
+ dtype: video
166
+ shape:
167
+ - 480
168
+ - 640
169
+ - 3
170
+ names:
171
+ - height
172
+ - width
173
+ - channels
174
+ info:
175
+ video.height: 480
176
+ video.width: 640
177
+ video.codec: av1
178
+ video.pix_fmt: yuv420p
179
+ video.is_depth_map: false
180
+ video.fps: 30
181
+ video.channels: 3
182
+ has_audio: false
183
+ observation.images.cam_front_rgb:
184
+ dtype: video
185
+ shape:
186
+ - 480
187
+ - 640
188
+ - 3
189
+ names:
190
+ - height
191
+ - width
192
+ - channels
193
+ info:
194
+ video.height: 480
195
+ video.width: 640
196
+ video.codec: av1
197
+ video.pix_fmt: yuv420p
198
+ video.is_depth_map: false
199
+ video.fps: 30
200
+ video.channels: 3
201
+ has_audio: false
202
+ observation.state:
203
+ dtype: float32
204
+ shape:
205
+ - 36
206
+ names:
207
+ - left_arm_joint_1_rad
208
+ - left_arm_joint_2_rad
209
+ - left_arm_joint_3_rad
210
+ - left_arm_joint_4_rad
211
+ - left_arm_joint_5_rad
212
+ - left_arm_joint_6_rad
213
+ - right_arm_joint_1_rad
214
+ - right_arm_joint_2_rad
215
+ - right_arm_joint_3_rad
216
+ - right_arm_joint_4_rad
217
+ - right_arm_joint_5_rad
218
+ - right_arm_joint_6_rad
219
+ - left_hand_joint_1_rad
220
+ - left_hand_joint_2_rad
221
+ - left_hand_joint_3_rad
222
+ - left_hand_joint_4_rad
223
+ - left_hand_joint_5_rad
224
+ - left_hand_joint_6_rad
225
+ - left_hand_joint_7_rad
226
+ - left_hand_joint_8_rad
227
+ - left_hand_joint_9_rad
228
+ - left_hand_joint_10_rad
229
+ - left_hand_joint_11_rad
230
+ - left_hand_joint_12_rad
231
+ - right_hand_joint_1_rad
232
+ - right_hand_joint_2_rad
233
+ - right_hand_joint_3_rad
234
+ - right_hand_joint_4_rad
235
+ - right_hand_joint_5_rad
236
+ - right_hand_joint_6_rad
237
+ - right_hand_joint_7_rad
238
+ - right_hand_joint_8_rad
239
+ - right_hand_joint_9_rad
240
+ - right_hand_joint_10_rad
241
+ - right_hand_joint_11_rad
242
+ - right_hand_joint_12_rad
243
+ action:
244
+ dtype: float32
245
+ shape:
246
+ - 36
247
+ names:
248
+ - left_arm_joint_1_rad
249
+ - left_arm_joint_2_rad
250
+ - left_arm_joint_3_rad
251
+ - left_arm_joint_4_rad
252
+ - left_arm_joint_5_rad
253
+ - left_arm_joint_6_rad
254
+ - right_arm_joint_1_rad
255
+ - right_arm_joint_2_rad
256
+ - right_arm_joint_3_rad
257
+ - right_arm_joint_4_rad
258
+ - right_arm_joint_5_rad
259
+ - right_arm_joint_6_rad
260
+ - left_hand_joint_1_rad
261
+ - left_hand_joint_2_rad
262
+ - left_hand_joint_3_rad
263
+ - left_hand_joint_4_rad
264
+ - left_hand_joint_5_rad
265
+ - left_hand_joint_6_rad
266
+ - left_hand_joint_7_rad
267
+ - left_hand_joint_8_rad
268
+ - left_hand_joint_9_rad
269
+ - left_hand_joint_10_rad
270
+ - left_hand_joint_11_rad
271
+ - left_hand_joint_12_rad
272
+ - right_hand_joint_1_rad
273
+ - right_hand_joint_2_rad
274
+ - right_hand_joint_3_rad
275
+ - right_hand_joint_4_rad
276
+ - right_hand_joint_5_rad
277
+ - right_hand_joint_6_rad
278
+ - right_hand_joint_7_rad
279
+ - right_hand_joint_8_rad
280
+ - right_hand_joint_9_rad
281
+ - right_hand_joint_10_rad
282
+ - right_hand_joint_11_rad
283
+ - right_hand_joint_12_rad
284
+ timestamp:
285
+ dtype: float32
286
+ shape:
287
+ - 1
288
+ names: null
289
+ frame_index:
290
+ dtype: int64
291
+ shape:
292
+ - 1
293
+ names: null
294
+ episode_index:
295
+ dtype: int64
296
+ shape:
297
+ - 1
298
+ names: null
299
+ index:
300
+ dtype: int64
301
+ shape:
302
+ - 1
303
+ names: null
304
+ task_index:
305
+ dtype: int64
306
+ shape:
307
+ - 1
308
+ names: null
309
+ subtask_annotation:
310
+ names: null
311
+ shape:
312
+ - 5
313
+ dtype: int32
314
+ scene_annotation:
315
+ names: null
316
+ shape:
317
+ - 1
318
+ dtype: int32
319
+ eef_sim_pose_state:
320
+ names:
321
+ - left_eef_pos_x
322
+ - left_eef_pos_y
323
+ - left_eef_pos_z
324
+ - left_eef_rot_x
325
+ - left_eef_rot_y
326
+ - left_eef_rot_z
327
+ - right_eef_pos_x
328
+ - right_eef_pos_y
329
+ - right_eef_pos_z
330
+ - right_eef_rot_x
331
+ - right_eef_rot_y
332
+ - right_eef_rot_z
333
+ shape:
334
+ - 12
335
+ dtype: float32
336
+ eef_sim_pose_action:
337
+ names:
338
+ - left_eef_pos_x
339
+ - left_eef_pos_y
340
+ - left_eef_pos_z
341
+ - left_eef_rot_x
342
+ - left_eef_rot_y
343
+ - left_eef_rot_z
344
+ - right_eef_pos_x
345
+ - right_eef_pos_y
346
+ - right_eef_pos_z
347
+ - right_eef_rot_x
348
+ - right_eef_rot_y
349
+ - right_eef_rot_z
350
+ shape:
351
+ - 12
352
+ dtype: float32
353
+ eef_direction_state:
354
+ names:
355
+ - left_eef_direction
356
+ - right_eef_direction
357
+ shape:
358
+ - 2
359
+ dtype: int32
360
+ eef_direction_action:
361
+ names:
362
+ - left_eef_direction
363
+ - right_eef_direction
364
+ shape:
365
+ - 2
366
+ dtype: int32
367
+ eef_velocity_state:
368
+ names:
369
+ - left_eef_velocity
370
+ - right_eef_velocity
371
+ shape:
372
+ - 2
373
+ dtype: int32
374
+ eef_velocity_action:
375
+ names:
376
+ - left_eef_velocity
377
+ - right_eef_velocity
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_acc_mag_state:
382
+ names:
383
+ - left_eef_acc_mag
384
+ - right_eef_acc_mag
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ eef_acc_mag_action:
389
+ names:
390
+ - left_eef_acc_mag
391
+ - right_eef_acc_mag
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ authors:
396
+ contributed_by:
397
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
398
+ dataset_description: This dataset uses an extended format based on LeRobot and is
399
+ fully compatible with LeRobot.
400
+ homepage: https://flagopen.github.io/RoboCOIN/
401
+ paper: https://arxiv.org/abs/2511.17441
402
+ repository: https://github.com/FlagOpen/RoboCOIN
403
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
404
+ us.
405
+ support_info: For technical support, please open an issue on our GitHub repository.
406
+ license_details: apache-2.0
407
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
408
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
409
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
410
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
411
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
412
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
413
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
414
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
415
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
416
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
417
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
418
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
419
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
420
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
421
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
422
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
423
+ additional_citations: 'If you use this dataset, please also consider citing:
424
+
425
+ LeRobot Framework: https://github.com/huggingface/lerobot
426
+
427
+ '
428
+ version_info: Initial Release
429
+ data_path: data/chunk-{id}/episode_{id}.parquet
430
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
431
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_tissues_tub.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_tissues_tub
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: tissue_paper
35
+ level1: paper_towels
36
+ level2: tissue_paper
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: basin
41
+ level1: storage_utensils
42
+ level2: basin
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - pick up the tissues on the table by hand and place them on the white tray.
50
+ sub_tasks:
51
+ - subtask: Grasp the tissue with the right gripper
52
+ subtask_index: 0
53
+ - subtask: Abnormal
54
+ subtask_index: 1
55
+ - subtask: Static
56
+ subtask_index: 2
57
+ - subtask: Place the tissue into the brown basin with the right gripper
58
+ subtask_index: 3
59
+ - subtask: Place the tissue into the brown basin with the left gripper
60
+ subtask_index: 4
61
+ - subtask: End
62
+ subtask_index: 5
63
+ - subtask: Grasp the tissue with the left gripper
64
+ subtask_index: 6
65
+ - subtask: 'null'
66
+ subtask_index: 7
67
+ atomic_actions:
68
+ - grasp
69
+ - pick
70
+ - place
71
+ robot_name:
72
+ - Airbot_MMK2
73
+ end_effector_type: five_finger_gripper
74
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
75
+ type information.
76
+ sensor_list:
77
+ - cam_head_rgb
78
+ - cam_left_wrist_rgb
79
+ - cam_right_wrist_rgb
80
+ - cam_front_rgb
81
+ came_info:
82
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
83
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
84
+ pix_fmt=yuv420p
85
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
86
+ pix_fmt=yuv420p
87
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ depth_enabled: false
89
+ coordinate_definition: right-hand-frame
90
+ joint_rotation_dim: radian
91
+ end_rotation_dim: end_rotation_dim
92
+ end_translation_dim: end_translation_dim
93
+ annotations:
94
+ - eef_acc_mag_annotation.jsonl
95
+ - eef_direction_annotation.jsonl
96
+ - eef_velocity_annotation.jsonl
97
+ - gripper_activity_annotation.jsonl
98
+ - gripper_mode_annotation.jsonl
99
+ - scene_annotations.jsonl
100
+ - subtask_annotations.jsonl
101
+ statistics:
102
+ total_episodes: 49
103
+ total_frames: 6851
104
+ fps: 30
105
+ total_tasks: 8
106
+ total_videos: 196
107
+ total_chunks: 1
108
+ chunks_size: 1000
109
+ state_dim: 36
110
+ action_dim: 36
111
+ camera_views: 4
112
+ dataset_size: 207.40 MB
113
+ frame_num: 6851
114
+ dataset_size: 207.40 MB
115
+ data_structure: "Airbot_MMK2_storage_tissues_tub_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| `-- ... (37 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: 0:48
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_swap_apple_cake_plate.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_swap_apple_cake_plate
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: cake
35
+ level1: bread
36
+ level2: cake
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: plate
41
+ level1: kitchen_supplies
42
+ level2: plate
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: apple
47
+ level1: fruit
48
+ level2: apple
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 cake out of the plate and put the apples in.
56
+ sub_tasks:
57
+ - subtask: Grasp the cake placed into the plate with the left gripper
58
+ subtask_index: 0
59
+ - subtask: Grasp the apple with the right gripper
60
+ subtask_index: 1
61
+ - subtask: End
62
+ subtask_index: 2
63
+ - subtask: Place the cake on the table with the left gripper
64
+ subtask_index: 3
65
+ - subtask: Place the apple into the plate with the right 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: 47
105
+ total_frames: 6775
106
+ fps: 30
107
+ total_tasks: 6
108
+ total_videos: 188
109
+ total_chunks: 1
110
+ chunks_size: 1000
111
+ state_dim: 36
112
+ action_dim: 36
113
+ camera_views: 4
114
+ dataset_size: 182.07 MB
115
+ frame_num: 6775
116
+ dataset_size: 182.07 MB
117
+ data_structure: "Airbot_MMK2_swap_apple_cake_plate_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| `-- ... (35 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: 0:46
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/Airbot_MMK2_swap_bbs_block_plate.yaml ADDED
@@ -0,0 +1,442 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Airbot_MMK2_swap_bbs_block_plate
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: bb_pellets
35
+ level1: toys
36
+ level2: bb_pellets
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: plate
41
+ level1: kitchen_supplies
42
+ level2: plate
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: block_pillar
47
+ level1: toys
48
+ level2: block_pillar
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 bb balls out of the plate with left hand and put them back in with right
56
+ hand.
57
+ sub_tasks:
58
+ - subtask: Place the green rectangular block on the plate with the right gripper
59
+ subtask_index: 0
60
+ - subtask: Place the bullet on the table with the left gripper
61
+ subtask_index: 1
62
+ - subtask: Graasp the green rectangular block with the right gripper
63
+ subtask_index: 2
64
+ - subtask: Abnormal
65
+ subtask_index: 3
66
+ - subtask: Graasp the bullet on the plate and with the left gripper
67
+ subtask_index: 4
68
+ - subtask: End
69
+ subtask_index: 5
70
+ - subtask: 'null'
71
+ subtask_index: 6
72
+ atomic_actions:
73
+ - grasp
74
+ - pick
75
+ - place
76
+ robot_name:
77
+ - Airbot_MMK2
78
+ end_effector_type: five_finger_gripper
79
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
80
+ type information.
81
+ sensor_list:
82
+ - cam_head_rgb
83
+ - cam_left_wrist_rgb
84
+ - cam_right_wrist_rgb
85
+ - cam_front_rgb
86
+ came_info:
87
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
91
+ pix_fmt=yuv420p
92
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
93
+ depth_enabled: false
94
+ coordinate_definition: right-hand-frame
95
+ joint_rotation_dim: radian
96
+ end_rotation_dim: end_rotation_dim
97
+ end_translation_dim: end_translation_dim
98
+ annotations:
99
+ - eef_acc_mag_annotation.jsonl
100
+ - eef_direction_annotation.jsonl
101
+ - eef_velocity_annotation.jsonl
102
+ - gripper_activity_annotation.jsonl
103
+ - gripper_mode_annotation.jsonl
104
+ - scene_annotations.jsonl
105
+ - subtask_annotations.jsonl
106
+ statistics:
107
+ total_episodes: 50
108
+ total_frames: 9449
109
+ fps: 30
110
+ total_tasks: 7
111
+ total_videos: 200
112
+ total_chunks: 1
113
+ chunks_size: 1000
114
+ state_dim: 36
115
+ action_dim: 36
116
+ camera_views: 4
117
+ dataset_size: 295.93 MB
118
+ frame_num: 9449
119
+ dataset_size: 295.93 MB
120
+ data_structure: "Airbot_MMK2_swap_bbs_block_plate_qced_hardlink/\n|-- annotations\n\
121
+ | |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n|\
122
+ \ |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n\
123
+ | |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `--\
124
+ \ subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n\
125
+ | |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| \
126
+ \ |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n\
127
+ | |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| \
128
+ \ |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n\
129
+ | `-- episode_000011.parquet\n| `-- ... (38 more entries)\n|-- meta\n\
130
+ | |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `--\
131
+ \ tasks.jsonl\n`-- videos\n `-- chunk-000\n |-- observation.images.cam_front_rgb\n\
132
+ \ |-- observation.images.cam_head_rgb\n |-- observation.images.cam_left_wrist_rgb\n\
133
+ \ `-- observation.images.cam_right_wrist_rgb"
134
+ splits:
135
+ train: 0:49
136
+ features:
137
+ observation.images.cam_head_rgb:
138
+ dtype: video
139
+ shape:
140
+ - 480
141
+ - 640
142
+ - 3
143
+ names:
144
+ - height
145
+ - width
146
+ - channels
147
+ info:
148
+ video.height: 480
149
+ video.width: 640
150
+ video.codec: av1
151
+ video.pix_fmt: yuv420p
152
+ video.is_depth_map: false
153
+ video.fps: 30
154
+ video.channels: 3
155
+ has_audio: false
156
+ observation.images.cam_left_wrist_rgb:
157
+ dtype: video
158
+ shape:
159
+ - 480
160
+ - 640
161
+ - 3
162
+ names:
163
+ - height
164
+ - width
165
+ - channels
166
+ info:
167
+ video.height: 480
168
+ video.width: 640
169
+ video.codec: av1
170
+ video.pix_fmt: yuv420p
171
+ video.is_depth_map: false
172
+ video.fps: 30
173
+ video.channels: 3
174
+ has_audio: false
175
+ observation.images.cam_right_wrist_rgb:
176
+ dtype: video
177
+ shape:
178
+ - 480
179
+ - 640
180
+ - 3
181
+ names:
182
+ - height
183
+ - width
184
+ - channels
185
+ info:
186
+ video.height: 480
187
+ video.width: 640
188
+ video.codec: av1
189
+ video.pix_fmt: yuv420p
190
+ video.is_depth_map: false
191
+ video.fps: 30
192
+ video.channels: 3
193
+ has_audio: false
194
+ observation.images.cam_front_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.state:
214
+ dtype: float32
215
+ shape:
216
+ - 36
217
+ names:
218
+ - left_arm_joint_1_rad
219
+ - left_arm_joint_2_rad
220
+ - left_arm_joint_3_rad
221
+ - left_arm_joint_4_rad
222
+ - left_arm_joint_5_rad
223
+ - left_arm_joint_6_rad
224
+ - right_arm_joint_1_rad
225
+ - right_arm_joint_2_rad
226
+ - right_arm_joint_3_rad
227
+ - right_arm_joint_4_rad
228
+ - right_arm_joint_5_rad
229
+ - right_arm_joint_6_rad
230
+ - left_hand_joint_1_rad
231
+ - left_hand_joint_2_rad
232
+ - left_hand_joint_3_rad
233
+ - left_hand_joint_4_rad
234
+ - left_hand_joint_5_rad
235
+ - left_hand_joint_6_rad
236
+ - left_hand_joint_7_rad
237
+ - left_hand_joint_8_rad
238
+ - left_hand_joint_9_rad
239
+ - left_hand_joint_10_rad
240
+ - left_hand_joint_11_rad
241
+ - left_hand_joint_12_rad
242
+ - right_hand_joint_1_rad
243
+ - right_hand_joint_2_rad
244
+ - right_hand_joint_3_rad
245
+ - right_hand_joint_4_rad
246
+ - right_hand_joint_5_rad
247
+ - right_hand_joint_6_rad
248
+ - right_hand_joint_7_rad
249
+ - right_hand_joint_8_rad
250
+ - right_hand_joint_9_rad
251
+ - right_hand_joint_10_rad
252
+ - right_hand_joint_11_rad
253
+ - right_hand_joint_12_rad
254
+ action:
255
+ dtype: float32
256
+ shape:
257
+ - 36
258
+ names:
259
+ - left_arm_joint_1_rad
260
+ - left_arm_joint_2_rad
261
+ - left_arm_joint_3_rad
262
+ - left_arm_joint_4_rad
263
+ - left_arm_joint_5_rad
264
+ - left_arm_joint_6_rad
265
+ - right_arm_joint_1_rad
266
+ - right_arm_joint_2_rad
267
+ - right_arm_joint_3_rad
268
+ - right_arm_joint_4_rad
269
+ - right_arm_joint_5_rad
270
+ - right_arm_joint_6_rad
271
+ - left_hand_joint_1_rad
272
+ - left_hand_joint_2_rad
273
+ - left_hand_joint_3_rad
274
+ - left_hand_joint_4_rad
275
+ - left_hand_joint_5_rad
276
+ - left_hand_joint_6_rad
277
+ - left_hand_joint_7_rad
278
+ - left_hand_joint_8_rad
279
+ - left_hand_joint_9_rad
280
+ - left_hand_joint_10_rad
281
+ - left_hand_joint_11_rad
282
+ - left_hand_joint_12_rad
283
+ - right_hand_joint_1_rad
284
+ - right_hand_joint_2_rad
285
+ - right_hand_joint_3_rad
286
+ - right_hand_joint_4_rad
287
+ - right_hand_joint_5_rad
288
+ - right_hand_joint_6_rad
289
+ - right_hand_joint_7_rad
290
+ - right_hand_joint_8_rad
291
+ - right_hand_joint_9_rad
292
+ - right_hand_joint_10_rad
293
+ - right_hand_joint_11_rad
294
+ - right_hand_joint_12_rad
295
+ timestamp:
296
+ dtype: float32
297
+ shape:
298
+ - 1
299
+ names: null
300
+ frame_index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ episode_index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ task_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ subtask_annotation:
321
+ names: null
322
+ shape:
323
+ - 5
324
+ dtype: int32
325
+ scene_annotation:
326
+ names: null
327
+ shape:
328
+ - 1
329
+ dtype: int32
330
+ eef_sim_pose_state:
331
+ names:
332
+ - left_eef_pos_x
333
+ - left_eef_pos_y
334
+ - left_eef_pos_z
335
+ - left_eef_rot_x
336
+ - left_eef_rot_y
337
+ - left_eef_rot_z
338
+ - right_eef_pos_x
339
+ - right_eef_pos_y
340
+ - right_eef_pos_z
341
+ - right_eef_rot_x
342
+ - right_eef_rot_y
343
+ - right_eef_rot_z
344
+ shape:
345
+ - 12
346
+ dtype: float32
347
+ eef_sim_pose_action:
348
+ names:
349
+ - left_eef_pos_x
350
+ - left_eef_pos_y
351
+ - left_eef_pos_z
352
+ - left_eef_rot_x
353
+ - left_eef_rot_y
354
+ - left_eef_rot_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_rot_x
359
+ - right_eef_rot_y
360
+ - right_eef_rot_z
361
+ shape:
362
+ - 12
363
+ dtype: float32
364
+ eef_direction_state:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_direction_action:
372
+ names:
373
+ - left_eef_direction
374
+ - right_eef_direction
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_state:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_velocity_action:
386
+ names:
387
+ - left_eef_velocity
388
+ - right_eef_velocity
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_state:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ eef_acc_mag_action:
400
+ names:
401
+ - left_eef_acc_mag
402
+ - right_eef_acc_mag
403
+ shape:
404
+ - 2
405
+ dtype: int32
406
+ authors:
407
+ contributed_by:
408
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
409
+ dataset_description: This dataset uses an extended format based on LeRobot and is
410
+ fully compatible with LeRobot.
411
+ homepage: https://flagopen.github.io/RoboCOIN/
412
+ paper: https://arxiv.org/abs/2511.17441
413
+ repository: https://github.com/FlagOpen/RoboCOIN
414
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
415
+ us.
416
+ support_info: For technical support, please open an issue on our GitHub repository.
417
+ license_details: apache-2.0
418
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
419
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
420
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
421
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
422
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
423
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
424
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
425
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
426
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
427
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
428
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
429
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
430
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
431
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
432
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
433
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
434
+ additional_citations: 'If you use this dataset, please also consider citing:
435
+
436
+ LeRobot Framework: https://github.com/huggingface/lerobot
437
+
438
+ '
439
+ version_info: Initial Release
440
+ data_path: data/chunk-{id}/episode_{id}.parquet
441
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
442
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_swap_bread_cake_plate.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_swap_bread_cake_plate
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: cake
35
+ level1: bread
36
+ level2: cake
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: long_bread
41
+ level1: bread
42
+ level2: long_bread
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: plate
47
+ level1: kitchen_supplies
48
+ level2: plate
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
53
+ the operation type information.
54
+ task_instruction:
55
+ - take the cake out of the plate with left hand and put the bread in with right hand.
56
+ sub_tasks:
57
+ - subtask: Grasp the bread with the right gripper
58
+ subtask_index: 0
59
+ - subtask: Place the cake on the table with the left gripper
60
+ subtask_index: 1
61
+ - subtask: Abnormal
62
+ subtask_index: 2
63
+ - subtask: Place the bread into the plate with the right gripper
64
+ subtask_index: 3
65
+ - subtask: End
66
+ subtask_index: 4
67
+ - subtask: Grasp the cake on the plate with the left 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: 41
107
+ total_frames: 11322
108
+ fps: 30
109
+ total_tasks: 7
110
+ total_videos: 164
111
+ total_chunks: 1
112
+ chunks_size: 1000
113
+ state_dim: 36
114
+ action_dim: 36
115
+ camera_views: 4
116
+ dataset_size: 475.32 MB
117
+ frame_num: 11322
118
+ dataset_size: 475.32 MB
119
+ data_structure: "Airbot_MMK2_swap_bread_cake_plate_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| `-- ... (29 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: 0:40
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_block.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_take_block
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: study_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: building_blocks
35
+ level1: toys
36
+ level2: building_blocks
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: plate
41
+ level1: kitchen_supplies
42
+ level2: plate
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - take the building blocks off the white plate by hands.
50
+ sub_tasks:
51
+ - subtask: End
52
+ subtask_index: 0
53
+ - subtask: Place red rectangular block on the table with the left gripper
54
+ subtask_index: 1
55
+ - subtask: Grasp the red rectangular block on the plate with the left gripper
56
+ subtask_index: 2
57
+ - subtask: Grasp the green rectangular block on the plate with the right gripper
58
+ subtask_index: 3
59
+ - subtask: Place green rectangular block on the table with the right gripper
60
+ subtask_index: 4
61
+ - subtask: 'null'
62
+ subtask_index: 5
63
+ atomic_actions:
64
+ - grasp
65
+ - pick
66
+ - place
67
+ robot_name:
68
+ - Airbot_MMK2
69
+ end_effector_type: five_finger_gripper
70
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
71
+ type information.
72
+ sensor_list:
73
+ - cam_head_rgb
74
+ - cam_left_wrist_rgb
75
+ - cam_right_wrist_rgb
76
+ - cam_front_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
84
+ depth_enabled: false
85
+ coordinate_definition: right-hand-frame
86
+ joint_rotation_dim: radian
87
+ end_rotation_dim: end_rotation_dim
88
+ end_translation_dim: end_translation_dim
89
+ annotations:
90
+ - eef_acc_mag_annotation.jsonl
91
+ - eef_direction_annotation.jsonl
92
+ - eef_velocity_annotation.jsonl
93
+ - gripper_activity_annotation.jsonl
94
+ - gripper_mode_annotation.jsonl
95
+ - scene_annotations.jsonl
96
+ - subtask_annotations.jsonl
97
+ statistics:
98
+ total_episodes: 47
99
+ total_frames: 10270
100
+ fps: 30
101
+ total_tasks: 6
102
+ total_videos: 188
103
+ total_chunks: 1
104
+ chunks_size: 1000
105
+ state_dim: 36
106
+ action_dim: 36
107
+ camera_views: 4
108
+ dataset_size: 334.13 MB
109
+ frame_num: 10270
110
+ dataset_size: 334.13 MB
111
+ data_structure: "Airbot_MMK2_take_block_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n\
112
+ | |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n\
113
+ | |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n\
114
+ | |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n|\
115
+ \ `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
116
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
117
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
118
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
119
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
120
+ | `-- ... (35 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
121
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
122
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
123
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
124
+ splits:
125
+ train: 0:46
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_take_book.yaml ADDED
@@ -0,0 +1,424 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_book
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: study_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: book
35
+ level1: stationery
36
+ level2: book
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
+ - take a book from the forward pile with hand.
44
+ sub_tasks:
45
+ - subtask: End
46
+ subtask_index: 0
47
+ - subtask: Place the book on the table with the right gripper
48
+ subtask_index: 1
49
+ - subtask: Hook the third book on the right with the right gripper
50
+ subtask_index: 2
51
+ - subtask: 'null'
52
+ subtask_index: 3
53
+ atomic_actions:
54
+ - clip
55
+ - pull
56
+ - pick
57
+ - takeout
58
+ - place
59
+ robot_name:
60
+ - Airbot_MMK2
61
+ end_effector_type: five_finger_gripper
62
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
63
+ type information.
64
+ sensor_list:
65
+ - cam_head_rgb
66
+ - cam_left_wrist_rgb
67
+ - cam_right_wrist_rgb
68
+ - cam_front_rgb
69
+ came_info:
70
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
71
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
72
+ pix_fmt=yuv420p
73
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
74
+ pix_fmt=yuv420p
75
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
76
+ depth_enabled: false
77
+ coordinate_definition: right-hand-frame
78
+ joint_rotation_dim: radian
79
+ end_rotation_dim: end_rotation_dim
80
+ end_translation_dim: end_translation_dim
81
+ annotations:
82
+ - eef_acc_mag_annotation.jsonl
83
+ - eef_direction_annotation.jsonl
84
+ - eef_velocity_annotation.jsonl
85
+ - gripper_activity_annotation.jsonl
86
+ - gripper_mode_annotation.jsonl
87
+ - scene_annotations.jsonl
88
+ - subtask_annotations.jsonl
89
+ statistics:
90
+ total_episodes: 98
91
+ total_frames: 28489
92
+ fps: 30
93
+ total_tasks: 4
94
+ total_videos: 392
95
+ total_chunks: 1
96
+ chunks_size: 1000
97
+ state_dim: 36
98
+ action_dim: 36
99
+ camera_views: 4
100
+ dataset_size: 1.03 GB
101
+ frame_num: 28489
102
+ dataset_size: 1.03 GB
103
+ data_structure: "Airbot_MMK2_take_book_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n\
104
+ | |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n\
105
+ | |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n\
106
+ | |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n|\
107
+ \ `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
108
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
109
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
110
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
111
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
112
+ | `-- ... (86 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
113
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
114
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
115
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
116
+ splits:
117
+ train: 0:97
118
+ features:
119
+ observation.images.cam_head_rgb:
120
+ dtype: video
121
+ shape:
122
+ - 480
123
+ - 640
124
+ - 3
125
+ names:
126
+ - height
127
+ - width
128
+ - channels
129
+ info:
130
+ video.height: 480
131
+ video.width: 640
132
+ video.codec: av1
133
+ video.pix_fmt: yuv420p
134
+ video.is_depth_map: false
135
+ video.fps: 30
136
+ video.channels: 3
137
+ has_audio: false
138
+ observation.images.cam_left_wrist_rgb:
139
+ dtype: video
140
+ shape:
141
+ - 480
142
+ - 640
143
+ - 3
144
+ names:
145
+ - height
146
+ - width
147
+ - channels
148
+ info:
149
+ video.height: 480
150
+ video.width: 640
151
+ video.codec: av1
152
+ video.pix_fmt: yuv420p
153
+ video.is_depth_map: false
154
+ video.fps: 30
155
+ video.channels: 3
156
+ has_audio: false
157
+ observation.images.cam_right_wrist_rgb:
158
+ dtype: video
159
+ shape:
160
+ - 480
161
+ - 640
162
+ - 3
163
+ names:
164
+ - height
165
+ - width
166
+ - channels
167
+ info:
168
+ video.height: 480
169
+ video.width: 640
170
+ video.codec: av1
171
+ video.pix_fmt: yuv420p
172
+ video.is_depth_map: false
173
+ video.fps: 30
174
+ video.channels: 3
175
+ has_audio: false
176
+ observation.images.cam_front_rgb:
177
+ dtype: video
178
+ shape:
179
+ - 480
180
+ - 640
181
+ - 3
182
+ names:
183
+ - height
184
+ - width
185
+ - channels
186
+ info:
187
+ video.height: 480
188
+ video.width: 640
189
+ video.codec: av1
190
+ video.pix_fmt: yuv420p
191
+ video.is_depth_map: false
192
+ video.fps: 30
193
+ video.channels: 3
194
+ has_audio: false
195
+ observation.state:
196
+ dtype: float32
197
+ shape:
198
+ - 36
199
+ names:
200
+ - left_arm_joint_1_rad
201
+ - left_arm_joint_2_rad
202
+ - left_arm_joint_3_rad
203
+ - left_arm_joint_4_rad
204
+ - left_arm_joint_5_rad
205
+ - left_arm_joint_6_rad
206
+ - right_arm_joint_1_rad
207
+ - right_arm_joint_2_rad
208
+ - right_arm_joint_3_rad
209
+ - right_arm_joint_4_rad
210
+ - right_arm_joint_5_rad
211
+ - right_arm_joint_6_rad
212
+ - left_hand_joint_1_rad
213
+ - left_hand_joint_2_rad
214
+ - left_hand_joint_3_rad
215
+ - left_hand_joint_4_rad
216
+ - left_hand_joint_5_rad
217
+ - left_hand_joint_6_rad
218
+ - left_hand_joint_7_rad
219
+ - left_hand_joint_8_rad
220
+ - left_hand_joint_9_rad
221
+ - left_hand_joint_10_rad
222
+ - left_hand_joint_11_rad
223
+ - left_hand_joint_12_rad
224
+ - right_hand_joint_1_rad
225
+ - right_hand_joint_2_rad
226
+ - right_hand_joint_3_rad
227
+ - right_hand_joint_4_rad
228
+ - right_hand_joint_5_rad
229
+ - right_hand_joint_6_rad
230
+ - right_hand_joint_7_rad
231
+ - right_hand_joint_8_rad
232
+ - right_hand_joint_9_rad
233
+ - right_hand_joint_10_rad
234
+ - right_hand_joint_11_rad
235
+ - right_hand_joint_12_rad
236
+ action:
237
+ dtype: float32
238
+ shape:
239
+ - 36
240
+ names:
241
+ - left_arm_joint_1_rad
242
+ - left_arm_joint_2_rad
243
+ - left_arm_joint_3_rad
244
+ - left_arm_joint_4_rad
245
+ - left_arm_joint_5_rad
246
+ - left_arm_joint_6_rad
247
+ - right_arm_joint_1_rad
248
+ - right_arm_joint_2_rad
249
+ - right_arm_joint_3_rad
250
+ - right_arm_joint_4_rad
251
+ - right_arm_joint_5_rad
252
+ - right_arm_joint_6_rad
253
+ - left_hand_joint_1_rad
254
+ - left_hand_joint_2_rad
255
+ - left_hand_joint_3_rad
256
+ - left_hand_joint_4_rad
257
+ - left_hand_joint_5_rad
258
+ - left_hand_joint_6_rad
259
+ - left_hand_joint_7_rad
260
+ - left_hand_joint_8_rad
261
+ - left_hand_joint_9_rad
262
+ - left_hand_joint_10_rad
263
+ - left_hand_joint_11_rad
264
+ - left_hand_joint_12_rad
265
+ - right_hand_joint_1_rad
266
+ - right_hand_joint_2_rad
267
+ - right_hand_joint_3_rad
268
+ - right_hand_joint_4_rad
269
+ - right_hand_joint_5_rad
270
+ - right_hand_joint_6_rad
271
+ - right_hand_joint_7_rad
272
+ - right_hand_joint_8_rad
273
+ - right_hand_joint_9_rad
274
+ - right_hand_joint_10_rad
275
+ - right_hand_joint_11_rad
276
+ - right_hand_joint_12_rad
277
+ timestamp:
278
+ dtype: float32
279
+ shape:
280
+ - 1
281
+ names: null
282
+ frame_index:
283
+ dtype: int64
284
+ shape:
285
+ - 1
286
+ names: null
287
+ episode_index:
288
+ dtype: int64
289
+ shape:
290
+ - 1
291
+ names: null
292
+ index:
293
+ dtype: int64
294
+ shape:
295
+ - 1
296
+ names: null
297
+ task_index:
298
+ dtype: int64
299
+ shape:
300
+ - 1
301
+ names: null
302
+ subtask_annotation:
303
+ names: null
304
+ shape:
305
+ - 5
306
+ dtype: int32
307
+ scene_annotation:
308
+ names: null
309
+ shape:
310
+ - 1
311
+ dtype: int32
312
+ eef_sim_pose_state:
313
+ names:
314
+ - left_eef_pos_x
315
+ - left_eef_pos_y
316
+ - left_eef_pos_z
317
+ - left_eef_rot_x
318
+ - left_eef_rot_y
319
+ - left_eef_rot_z
320
+ - right_eef_pos_x
321
+ - right_eef_pos_y
322
+ - right_eef_pos_z
323
+ - right_eef_rot_x
324
+ - right_eef_rot_y
325
+ - right_eef_rot_z
326
+ shape:
327
+ - 12
328
+ dtype: float32
329
+ eef_sim_pose_action:
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_direction_state:
347
+ names:
348
+ - left_eef_direction
349
+ - right_eef_direction
350
+ shape:
351
+ - 2
352
+ dtype: int32
353
+ eef_direction_action:
354
+ names:
355
+ - left_eef_direction
356
+ - right_eef_direction
357
+ shape:
358
+ - 2
359
+ dtype: int32
360
+ eef_velocity_state:
361
+ names:
362
+ - left_eef_velocity
363
+ - right_eef_velocity
364
+ shape:
365
+ - 2
366
+ dtype: int32
367
+ eef_velocity_action:
368
+ names:
369
+ - left_eef_velocity
370
+ - right_eef_velocity
371
+ shape:
372
+ - 2
373
+ dtype: int32
374
+ eef_acc_mag_state:
375
+ names:
376
+ - left_eef_acc_mag
377
+ - right_eef_acc_mag
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_acc_mag_action:
382
+ names:
383
+ - left_eef_acc_mag
384
+ - right_eef_acc_mag
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ authors:
389
+ contributed_by:
390
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
391
+ dataset_description: This dataset uses an extended format based on LeRobot and is
392
+ fully compatible with LeRobot.
393
+ homepage: https://flagopen.github.io/RoboCOIN/
394
+ paper: https://arxiv.org/abs/2511.17441
395
+ repository: https://github.com/FlagOpen/RoboCOIN
396
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
397
+ us.
398
+ support_info: For technical support, please open an issue on our GitHub repository.
399
+ license_details: apache-2.0
400
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
401
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
402
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
403
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
404
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
405
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
406
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
407
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
408
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
409
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
410
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
411
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
412
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
413
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
414
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
415
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
416
+ additional_citations: 'If you use this dataset, please also consider citing:
417
+
418
+ LeRobot Framework: https://github.com/huggingface/lerobot
419
+
420
+ '
421
+ version_info: Initial Release
422
+ data_path: data/chunk-{id}/episode_{id}.parquet
423
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
424
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_turn_page.yaml ADDED
@@ -0,0 +1,420 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_turn_page
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: study_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: book
35
+ level1: stationery
36
+ level2: books
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
+ - turn a page of the english book on the table with right hand.
44
+ sub_tasks:
45
+ - subtask: End
46
+ subtask_index: 0
47
+ - subtask: Turn the book to the next page with the right gripper
48
+ subtask_index: 1
49
+ - subtask: Abnormal
50
+ subtask_index: 2
51
+ - subtask: 'null'
52
+ subtask_index: 3
53
+ atomic_actions:
54
+ - flip
55
+ robot_name:
56
+ - Airbot_MMK2
57
+ end_effector_type: five_finger_gripper
58
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
59
+ type information.
60
+ sensor_list:
61
+ - cam_head_rgb
62
+ - cam_left_wrist_rgb
63
+ - cam_right_wrist_rgb
64
+ - cam_front_rgb
65
+ came_info:
66
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
67
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
68
+ pix_fmt=yuv420p
69
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
70
+ pix_fmt=yuv420p
71
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
72
+ depth_enabled: false
73
+ coordinate_definition: right-hand-frame
74
+ joint_rotation_dim: radian
75
+ end_rotation_dim: end_rotation_dim
76
+ end_translation_dim: end_translation_dim
77
+ annotations:
78
+ - eef_acc_mag_annotation.jsonl
79
+ - eef_direction_annotation.jsonl
80
+ - eef_velocity_annotation.jsonl
81
+ - gripper_activity_annotation.jsonl
82
+ - gripper_mode_annotation.jsonl
83
+ - scene_annotations.jsonl
84
+ - subtask_annotations.jsonl
85
+ statistics:
86
+ total_episodes: 149
87
+ total_frames: 19581
88
+ fps: 30
89
+ total_tasks: 4
90
+ total_videos: 596
91
+ total_chunks: 1
92
+ chunks_size: 1000
93
+ state_dim: 36
94
+ action_dim: 36
95
+ camera_views: 4
96
+ dataset_size: 740.88 MB
97
+ frame_num: 19581
98
+ dataset_size: 740.88 MB
99
+ data_structure: "Airbot_MMK2_turn_page_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n\
100
+ | |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n\
101
+ | |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n\
102
+ | |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n|\
103
+ \ `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n\
104
+ | |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| \
105
+ \ |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n\
106
+ | |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| \
107
+ \ |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n\
108
+ | `-- ... (137 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n\
109
+ | |-- info.json\n| `-- tasks.jsonl\n`-- videos\n `-- chunk-000\n |--\
110
+ \ observation.images.cam_front_rgb\n |-- observation.images.cam_head_rgb\n\
111
+ \ |-- observation.images.cam_left_wrist_rgb\n `-- observation.images.cam_right_wrist_rgb"
112
+ splits:
113
+ train: 0:148
114
+ features:
115
+ observation.images.cam_head_rgb:
116
+ dtype: video
117
+ shape:
118
+ - 480
119
+ - 640
120
+ - 3
121
+ names:
122
+ - height
123
+ - width
124
+ - channels
125
+ info:
126
+ video.height: 480
127
+ video.width: 640
128
+ video.codec: av1
129
+ video.pix_fmt: yuv420p
130
+ video.is_depth_map: false
131
+ video.fps: 30
132
+ video.channels: 3
133
+ has_audio: false
134
+ observation.images.cam_left_wrist_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_right_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_front_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.state:
192
+ dtype: float32
193
+ shape:
194
+ - 36
195
+ names:
196
+ - left_arm_joint_1_rad
197
+ - left_arm_joint_2_rad
198
+ - left_arm_joint_3_rad
199
+ - left_arm_joint_4_rad
200
+ - left_arm_joint_5_rad
201
+ - left_arm_joint_6_rad
202
+ - right_arm_joint_1_rad
203
+ - right_arm_joint_2_rad
204
+ - right_arm_joint_3_rad
205
+ - right_arm_joint_4_rad
206
+ - right_arm_joint_5_rad
207
+ - right_arm_joint_6_rad
208
+ - left_hand_joint_1_rad
209
+ - left_hand_joint_2_rad
210
+ - left_hand_joint_3_rad
211
+ - left_hand_joint_4_rad
212
+ - left_hand_joint_5_rad
213
+ - left_hand_joint_6_rad
214
+ - left_hand_joint_7_rad
215
+ - left_hand_joint_8_rad
216
+ - left_hand_joint_9_rad
217
+ - left_hand_joint_10_rad
218
+ - left_hand_joint_11_rad
219
+ - left_hand_joint_12_rad
220
+ - right_hand_joint_1_rad
221
+ - right_hand_joint_2_rad
222
+ - right_hand_joint_3_rad
223
+ - right_hand_joint_4_rad
224
+ - right_hand_joint_5_rad
225
+ - right_hand_joint_6_rad
226
+ - right_hand_joint_7_rad
227
+ - right_hand_joint_8_rad
228
+ - right_hand_joint_9_rad
229
+ - right_hand_joint_10_rad
230
+ - right_hand_joint_11_rad
231
+ - right_hand_joint_12_rad
232
+ action:
233
+ dtype: float32
234
+ shape:
235
+ - 36
236
+ names:
237
+ - left_arm_joint_1_rad
238
+ - left_arm_joint_2_rad
239
+ - left_arm_joint_3_rad
240
+ - left_arm_joint_4_rad
241
+ - left_arm_joint_5_rad
242
+ - left_arm_joint_6_rad
243
+ - right_arm_joint_1_rad
244
+ - right_arm_joint_2_rad
245
+ - right_arm_joint_3_rad
246
+ - right_arm_joint_4_rad
247
+ - right_arm_joint_5_rad
248
+ - right_arm_joint_6_rad
249
+ - left_hand_joint_1_rad
250
+ - left_hand_joint_2_rad
251
+ - left_hand_joint_3_rad
252
+ - left_hand_joint_4_rad
253
+ - left_hand_joint_5_rad
254
+ - left_hand_joint_6_rad
255
+ - left_hand_joint_7_rad
256
+ - left_hand_joint_8_rad
257
+ - left_hand_joint_9_rad
258
+ - left_hand_joint_10_rad
259
+ - left_hand_joint_11_rad
260
+ - left_hand_joint_12_rad
261
+ - right_hand_joint_1_rad
262
+ - right_hand_joint_2_rad
263
+ - right_hand_joint_3_rad
264
+ - right_hand_joint_4_rad
265
+ - right_hand_joint_5_rad
266
+ - right_hand_joint_6_rad
267
+ - right_hand_joint_7_rad
268
+ - right_hand_joint_8_rad
269
+ - right_hand_joint_9_rad
270
+ - right_hand_joint_10_rad
271
+ - right_hand_joint_11_rad
272
+ - right_hand_joint_12_rad
273
+ timestamp:
274
+ dtype: float32
275
+ shape:
276
+ - 1
277
+ names: null
278
+ frame_index:
279
+ dtype: int64
280
+ shape:
281
+ - 1
282
+ names: null
283
+ episode_index:
284
+ dtype: int64
285
+ shape:
286
+ - 1
287
+ names: null
288
+ index:
289
+ dtype: int64
290
+ shape:
291
+ - 1
292
+ names: null
293
+ task_index:
294
+ dtype: int64
295
+ shape:
296
+ - 1
297
+ names: null
298
+ subtask_annotation:
299
+ names: null
300
+ shape:
301
+ - 5
302
+ dtype: int32
303
+ scene_annotation:
304
+ names: null
305
+ shape:
306
+ - 1
307
+ dtype: int32
308
+ eef_sim_pose_state:
309
+ names:
310
+ - left_eef_pos_x
311
+ - left_eef_pos_y
312
+ - left_eef_pos_z
313
+ - left_eef_rot_x
314
+ - left_eef_rot_y
315
+ - left_eef_rot_z
316
+ - right_eef_pos_x
317
+ - right_eef_pos_y
318
+ - right_eef_pos_z
319
+ - right_eef_rot_x
320
+ - right_eef_rot_y
321
+ - right_eef_rot_z
322
+ shape:
323
+ - 12
324
+ dtype: float32
325
+ eef_sim_pose_action:
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_direction_state:
343
+ names:
344
+ - left_eef_direction
345
+ - right_eef_direction
346
+ shape:
347
+ - 2
348
+ dtype: int32
349
+ eef_direction_action:
350
+ names:
351
+ - left_eef_direction
352
+ - right_eef_direction
353
+ shape:
354
+ - 2
355
+ dtype: int32
356
+ eef_velocity_state:
357
+ names:
358
+ - left_eef_velocity
359
+ - right_eef_velocity
360
+ shape:
361
+ - 2
362
+ dtype: int32
363
+ eef_velocity_action:
364
+ names:
365
+ - left_eef_velocity
366
+ - right_eef_velocity
367
+ shape:
368
+ - 2
369
+ dtype: int32
370
+ eef_acc_mag_state:
371
+ names:
372
+ - left_eef_acc_mag
373
+ - right_eef_acc_mag
374
+ shape:
375
+ - 2
376
+ dtype: int32
377
+ eef_acc_mag_action:
378
+ names:
379
+ - left_eef_acc_mag
380
+ - right_eef_acc_mag
381
+ shape:
382
+ - 2
383
+ dtype: int32
384
+ authors:
385
+ contributed_by:
386
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
387
+ dataset_description: This dataset uses an extended format based on LeRobot and is
388
+ fully compatible with LeRobot.
389
+ homepage: https://flagopen.github.io/RoboCOIN/
390
+ paper: https://arxiv.org/abs/2511.17441
391
+ repository: https://github.com/FlagOpen/RoboCOIN
392
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
393
+ us.
394
+ support_info: For technical support, please open an issue on our GitHub repository.
395
+ license_details: apache-2.0
396
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
397
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
398
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
399
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
400
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
401
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
402
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
403
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
404
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
405
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
406
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
407
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
408
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
409
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
410
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
411
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
412
+ additional_citations: 'If you use this dataset, please also consider citing:
413
+
414
+ LeRobot Framework: https://github.com/huggingface/lerobot
415
+
416
+ '
417
+ version_info: Initial Release
418
+ data_path: data/chunk-{id}/episode_{id}.parquet
419
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
420
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_classify_object_green_tablecloth.yaml ADDED
@@ -0,0 +1,827 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_classify_object_green_tablecloth
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: brown_basket
35
+ level1: baskets
36
+ level2: brown_basket
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_basket
41
+ level1: baskets
42
+ level2: yellow_basket
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: any_fruits
47
+ level1: fruits
48
+ level2: any_fruits
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: any_vegetables
53
+ level1: vegetables
54
+ level2: any_vegetables
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: any_snacks
59
+ level1: snacks
60
+ level2: any_snacks
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: any_bread
65
+ level1: bread
66
+ level2: any_bread
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: green_table_cloths
71
+ level1: table_cloths
72
+ level2: green_table_cloths
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
+ - on the green table,place the food in the right basket with the right gripper, and
80
+ place the non food items in the left basket with the left gripper.
81
+ sub_tasks:
82
+ - subtask: Grasp the round bread and put it in the right basket
83
+ subtask_index: 0
84
+ - subtask: Grasp the can and put it in the right basket
85
+ subtask_index: 1
86
+ - subtask: Pick up the compass and put it in the left basket
87
+ subtask_index: 2
88
+ - subtask: Grasp the soft cleanser and put it in the left basket
89
+ subtask_index: 3
90
+ - subtask: Pick up the orange and put it in the right basket
91
+ subtask_index: 4
92
+ - subtask: Pick up the round chewing gum and put it in the right basket
93
+ subtask_index: 5
94
+ - subtask: Grasp the playing cards and put it in the left basket
95
+ subtask_index: 6
96
+ - subtask: Grasp the purple garbage bag and put it in the left basket
97
+ subtask_index: 7
98
+ - subtask: Place the back scratcher in the center of the table
99
+ subtask_index: 8
100
+ - subtask: Place the eggplant in the center of the table
101
+ subtask_index: 9
102
+ - subtask: Pick up the square chewing gum and put it in the right basket
103
+ subtask_index: 10
104
+ - subtask: Pick up the washing liquid and put it in the left basket
105
+ subtask_index: 11
106
+ - subtask: Grasp the red pot and put it in the left basket
107
+ subtask_index: 12
108
+ - subtask: Grasp the grape and put it in the right basket
109
+ subtask_index: 13
110
+ - subtask: Pick up the tape and put it in the left basket
111
+ subtask_index: 14
112
+ - subtask: Pick up the shampoo and put it in the left basket
113
+ subtask_index: 15
114
+ - subtask: Pick up the playing cards and put it in the left basket
115
+ subtask_index: 16
116
+ - subtask: Place the orange in the center of the table
117
+ subtask_index: 17
118
+ - subtask: Grasp the eggplant and put it in the right basket
119
+ subtask_index: 18
120
+ - subtask: Pick up the banana and put it in the right basket
121
+ subtask_index: 19
122
+ - subtask: Grasp the washing liquid and put it in the left basket
123
+ subtask_index: 20
124
+ - subtask: Grasp the shampoo and put it in the left basket
125
+ subtask_index: 21
126
+ - subtask: Place the pink bowl in the center of the table
127
+ subtask_index: 22
128
+ - subtask: Place the compass in the center of the table
129
+ subtask_index: 23
130
+ - subtask: Place the peach in the center of the table
131
+ subtask_index: 24
132
+ - subtask: Place the banana in the center of the table
133
+ subtask_index: 25
134
+ - subtask: Place the tape in the center of the table
135
+ subtask_index: 26
136
+ - subtask: Pick up the round bread and put it in the left basket
137
+ subtask_index: 27
138
+ - subtask: Pick up the tea cup and put it in the left basket
139
+ subtask_index: 28
140
+ - subtask: Pick up the round bread and put it in the right basket
141
+ subtask_index: 29
142
+ - subtask: Grasp the banana and put it in the right basket
143
+ subtask_index: 30
144
+ - subtask: Grasp the pear and put it in the right basket
145
+ subtask_index: 31
146
+ - subtask: Place the lemon and put it in the center of the table
147
+ subtask_index: 32
148
+ - subtask: Grasp the compass and put it in the right basket
149
+ subtask_index: 33
150
+ - subtask: Pick up the can and put it in the right basket
151
+ subtask_index: 34
152
+ - subtask: Place the red pot in the center of the table
153
+ subtask_index: 35
154
+ - subtask: Pick up the yellow marker and put it in the left basket
155
+ subtask_index: 36
156
+ - subtask: Grasp the yellow cake and put it in the right basket
157
+ subtask_index: 37
158
+ - subtask: Grasp the long bread and put it in the right basket
159
+ subtask_index: 38
160
+ - subtask: Grasp the canned cola and put it in the right basket
161
+ subtask_index: 39
162
+ - subtask: Grasp the glasses case and put it in the left basket
163
+ subtask_index: 40
164
+ - subtask: Pick up the lime and put it in the right basket
165
+ subtask_index: 41
166
+ - subtask: Pick up the pear and put it in the right basket
167
+ subtask_index: 42
168
+ - subtask: Grasp the green chewing gum and put it in the right basket
169
+ subtask_index: 43
170
+ - subtask: Pick up the croissant and put it in the right basket
171
+ subtask_index: 44
172
+ - subtask: Pick up the chinese cabbage and put it in the right basket
173
+ subtask_index: 45
174
+ - subtask: Place the fruit fudge in the center of the table
175
+ subtask_index: 46
176
+ - subtask: Grasp the white eraser and put it in the left basket
177
+ subtask_index: 47
178
+ - subtask: Place the yellow marker in the center of the table
179
+ subtask_index: 48
180
+ - subtask: Place the round chewing gum in the center of the table
181
+ subtask_index: 49
182
+ - subtask: Pick up the canned cola and put it in the right basket
183
+ subtask_index: 50
184
+ - subtask: Pick up the red pot and put it in the left basket
185
+ subtask_index: 51
186
+ - subtask: Place the green lemon in the center of the table
187
+ subtask_index: 52
188
+ - subtask: Grasp the pink marker and put it in the left basket
189
+ subtask_index: 53
190
+ - subtask: Place the washing liquid in the center of the table
191
+ subtask_index: 54
192
+ - subtask: Abnormal
193
+ subtask_index: 55
194
+ - subtask: Grasp the peach and put it in the right basket
195
+ subtask_index: 56
196
+ - subtask: Grasp the soap and put it in the left basket
197
+ subtask_index: 57
198
+ - subtask: Place the Red Bull in the center of the table
199
+ subtask_index: 58
200
+ - subtask: Place the mango in the center of the table
201
+ subtask_index: 59
202
+ - subtask: Grasp the fruit fudge and put it in the right basket
203
+ subtask_index: 60
204
+ - subtask: Grasp the bath ball and put it in the left basket
205
+ subtask_index: 61
206
+ - subtask: Grasp the red bull and put it in the right basket
207
+ subtask_index: 62
208
+ - subtask: Pick up the lemon and put it in the right basket
209
+ subtask_index: 63
210
+ - subtask: Grasp the chinese cabbage and put it in the right basket
211
+ subtask_index: 64
212
+ - subtask: Grasp the pink pot and put it in the left basket
213
+ subtask_index: 65
214
+ - subtask: Grasp the croissant and put it in the right basket
215
+ subtask_index: 66
216
+ - subtask: Grasp the soda water and put it in the right basket
217
+ subtask_index: 67
218
+ - subtask: Pick up the egg yolk pastry and put it in the right basket
219
+ subtask_index: 68
220
+ - subtask: Grasp the spoon and put it in the left basket
221
+ subtask_index: 69
222
+ - subtask: Grasp the blue cup and put it in the left basket
223
+ subtask_index: 70
224
+ - subtask: Place the blue towel in the center of the table
225
+ subtask_index: 71
226
+ - subtask: Place the yellow cake in the center of the table
227
+ subtask_index: 72
228
+ - subtask: Place the grey cup in the center of the table
229
+ subtask_index: 73
230
+ - subtask: Grasp the tape and put it in the left basket
231
+ subtask_index: 74
232
+ - subtask: Place the square chewing gum in the center of the table
233
+ subtask_index: 75
234
+ - subtask: Pick up the milk and put it in the right basket
235
+ subtask_index: 76
236
+ - subtask: Grasp the back scratcher and put it in the right basket
237
+ subtask_index: 77
238
+ - subtask: Grasp the yogurt and put it in the right basket
239
+ subtask_index: 78
240
+ - subtask: Pick up the yellow cake and put it in the right basket
241
+ subtask_index: 79
242
+ - subtask: Pick up the blue bowl and put it in the left basket
243
+ subtask_index: 80
244
+ - subtask: Grasp the lemon and put it in the right basket
245
+ subtask_index: 81
246
+ - subtask: Grasp the back scratcher and put it in the left basket
247
+ subtask_index: 82
248
+ - subtask: Grasp the orange and put it in the right basket
249
+ subtask_index: 83
250
+ - subtask: Pick up the soda water and put it in the right basket
251
+ subtask_index: 84
252
+ - subtask: Grasp the red pot and put it in the right basket
253
+ subtask_index: 85
254
+ - subtask: Grasp the milk and put it in the right basket
255
+ subtask_index: 86
256
+ - subtask: Pick up the blue cup and put it in the left basket
257
+ subtask_index: 87
258
+ - subtask: Pick up the mango and put it in the right basket
259
+ subtask_index: 88
260
+ - subtask: Place the pink marker in the center of the table
261
+ subtask_index: 89
262
+ - subtask: Grasp the grey cup and put it in the left basket
263
+ subtask_index: 90
264
+ - subtask: Pick up the long bread and put it in the right basket
265
+ subtask_index: 91
266
+ - subtask: Pick up the soap and put it in the left basket
267
+ subtask_index: 92
268
+ - subtask: Grasp the peach and put it in the left basket
269
+ subtask_index: 93
270
+ - subtask: Pick up the pink pot and put it in the left basket
271
+ subtask_index: 94
272
+ - subtask: Grasp the sausage and put it in the right basket
273
+ subtask_index: 95
274
+ - subtask: Pick up the yogurt and put it in the right basket
275
+ subtask_index: 96
276
+ - subtask: Place the bath ball in the center of the table
277
+ subtask_index: 97
278
+ - subtask: Grasp the square chewing gum and put it in the right basket
279
+ subtask_index: 98
280
+ - subtask: Grasp the ad milk and put it in the right basket
281
+ subtask_index: 99
282
+ - subtask: Place the pink pot in the center of the table
283
+ subtask_index: 100
284
+ - subtask: Grasp the compass and put it in the left basket
285
+ subtask_index: 101
286
+ - subtask: Place the glasses case in the center of the table
287
+ subtask_index: 102
288
+ - subtask: Place the gray towel in the center of the table
289
+ subtask_index: 103
290
+ - subtask: Pick up the back scratcher and put it in the left basket
291
+ subtask_index: 104
292
+ - subtask: Place the purple garbage bag in the center of the table
293
+ subtask_index: 105
294
+ - subtask: Place the blue cup in the center of the table
295
+ subtask_index: 106
296
+ - subtask: Pick up the blue towel and put it in the left basket
297
+ subtask_index: 107
298
+ - subtask: Place the pear in the center of the table
299
+ subtask_index: 108
300
+ - subtask: Place the soft cleanser in the center of the table
301
+ subtask_index: 109
302
+ - subtask: Grasp the egg yolk pastry and put it in the right basket
303
+ subtask_index: 110
304
+ - subtask: Pick up the spoon and put it in the left basket
305
+ subtask_index: 111
306
+ - subtask: Place the sausage in the center of the table
307
+ subtask_index: 112
308
+ - subtask: Place the green chewing gum in the center of the table
309
+ subtask_index: 113
310
+ - subtask: Pick up the peach and put it in the right basket
311
+ subtask_index: 114
312
+ - subtask: Place the can in the center of the table
313
+ subtask_index: 115
314
+ - subtask: Grasp the mango and put it in the right basket
315
+ subtask_index: 116
316
+ - subtask: Place the canned cola in the center of the table
317
+ subtask_index: 117
318
+ - subtask: Pick up the gray towel and put it in the left basket
319
+ subtask_index: 118
320
+ - subtask: Place the ad milk in the center of the table
321
+ subtask_index: 119
322
+ - subtask: Pick up the sausage and put it in the right basket
323
+ subtask_index: 120
324
+ - subtask: Grasp the hard cleanser and put it in the left basket
325
+ subtask_index: 121
326
+ - subtask: Pick up the pink marker and put it in the left basket
327
+ subtask_index: 122
328
+ - subtask: Grasp the detergent and put it in the left basket
329
+ subtask_index: 123
330
+ - subtask: Pick up the pink bowl and put it in the left basket
331
+ subtask_index: 124
332
+ - subtask: Grasp the Red Bull and put it in the right basket
333
+ subtask_index: 125
334
+ - subtask: Pick up the ad milk and put it in the right basket
335
+ subtask_index: 126
336
+ - subtask: Place the long bread in the center of the table
337
+ subtask_index: 127
338
+ - subtask: Pick up the soft cleanser and put it in the left basket
339
+ subtask_index: 128
340
+ - subtask: Place the croissant in the center of the table
341
+ subtask_index: 129
342
+ - subtask: Grasp the lime and put it in the right basket
343
+ subtask_index: 130
344
+ - subtask: Place the round bread in the center of the table
345
+ subtask_index: 131
346
+ - subtask: Pick up the green chewing gum and put it in the right basket
347
+ subtask_index: 132
348
+ - subtask: Grasp the pink bowl and put it in the left basket
349
+ subtask_index: 133
350
+ - subtask: Place the playing cards in the center of the table
351
+ subtask_index: 134
352
+ - subtask: Pick up the glasses case and put it in the left basket
353
+ subtask_index: 135
354
+ - subtask: Pick up the fruit fudge and put it in the right basket
355
+ subtask_index: 136
356
+ - subtask: Pick up the eggplant and put it in the right basket
357
+ subtask_index: 137
358
+ - subtask: Place the white eraser in the center of the table
359
+ subtask_index: 138
360
+ - subtask: Place the yogurt in the center of the table
361
+ subtask_index: 139
362
+ - subtask: Pick up the detergent and put it in the left basket
363
+ subtask_index: 140
364
+ - subtask: Grasp the blue towel and put it in the left basket
365
+ subtask_index: 141
366
+ - subtask: Pick up the red bull and put it in the right basket
367
+ subtask_index: 142
368
+ - subtask: Place the lime in the center of the table
369
+ subtask_index: 143
370
+ - subtask: Grasp the mint candy and put it in the right basket
371
+ subtask_index: 144
372
+ - subtask: Place the soap in the center of the table
373
+ subtask_index: 145
374
+ - subtask: Grasp the red marker and put it in the left basket
375
+ subtask_index: 146
376
+ - subtask: Pick up the purple garbage bag and put it in the left basket
377
+ subtask_index: 147
378
+ - subtask: Place the detergent in the center of the table
379
+ subtask_index: 148
380
+ - subtask: Pick up the bath ball and put it in the left basket
381
+ subtask_index: 149
382
+ - subtask: Grasp the gray towel and put it in the left basket
383
+ subtask_index: 150
384
+ - subtask: Grasp the yellow marker and put it in the left basket
385
+ subtask_index: 151
386
+ - subtask: Grasp the pink towel and put it in the left basket
387
+ subtask_index: 152
388
+ - subtask: End
389
+ subtask_index: 153
390
+ - subtask: Place the shampoo in the center of the table
391
+ subtask_index: 154
392
+ - subtask: Grasp the green lemon and put it in the right basket
393
+ subtask_index: 155
394
+ - subtask: Grasp the round chewing gum and put it in the right basket
395
+ subtask_index: 156
396
+ - subtask: 'null'
397
+ subtask_index: 157
398
+ atomic_actions:
399
+ - grasp
400
+ - pick
401
+ - place
402
+ robot_name:
403
+ - Galaxea_R1_Lite
404
+ end_effector_type: two_finger_gripper
405
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
406
+ type information.
407
+ sensor_list:
408
+ - cam_head_left_rgb
409
+ - cam_head_right_rgb
410
+ - cam_left_wrist_rgb
411
+ - cam_right_wrist_rgb
412
+ came_info:
413
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
414
+ pix_fmt=yuv420p
415
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
416
+ pix_fmt=yuv420p
417
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
418
+ pix_fmt=yuv420p
419
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
420
+ pix_fmt=yuv420p
421
+ depth_enabled: false
422
+ coordinate_definition: right-hand-frame
423
+ joint_rotation_dim: radian
424
+ end_rotation_dim: end_rotation_dim
425
+ end_translation_dim: end_translation_dim
426
+ annotations:
427
+ - eef_acc_mag_annotation.jsonl
428
+ - eef_direction_annotation.jsonl
429
+ - eef_velocity_annotation.jsonl
430
+ - gripper_activity_annotation.jsonl
431
+ - gripper_mode_annotation.jsonl
432
+ - scene_annotations.jsonl
433
+ - subtask_annotations.jsonl
434
+ statistics:
435
+ total_episodes: 224
436
+ total_frames: 251221
437
+ fps: 30
438
+ total_tasks: 158
439
+ total_videos: 896
440
+ total_chunks: 1
441
+ chunks_size: 1000
442
+ state_dim: 14
443
+ action_dim: 14
444
+ camera_views: 4
445
+ dataset_size: 25.62 GB
446
+ frame_num: 251221
447
+ dataset_size: 25.62 GB
448
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_classify_object_green_tablecloth_qced_hardlink/
449
+
450
+ |-- annotations
451
+
452
+ | |-- eef_acc_mag_annotation.jsonl
453
+
454
+ | |-- eef_direction_annotation.jsonl
455
+
456
+ | |-- eef_velocity_annotation.jsonl
457
+
458
+ | |-- gripper_activity_annotation.jsonl
459
+
460
+ | |-- gripper_mode_annotation.jsonl
461
+
462
+ | |-- scene_annotations.jsonl
463
+
464
+ | `-- subtask_annotations.jsonl
465
+
466
+ |-- data
467
+
468
+ | `-- chunk-000
469
+
470
+ | |-- episode_000000.parquet
471
+
472
+ | |-- episode_000001.parquet
473
+
474
+ | |-- episode_000002.parquet
475
+
476
+ | |-- episode_000003.parquet
477
+
478
+ | |-- episode_000004.parquet
479
+
480
+ | |-- episode_000005.parquet
481
+
482
+ | |-- episode_000006.parquet
483
+
484
+ | |-- episode_000007.parquet
485
+
486
+ | |-- episode_000008.parquet
487
+
488
+ | |-- episode_000009.parquet
489
+
490
+ | |-- episode_000010.parquet
491
+
492
+ | `-- episode_000011.parquet
493
+
494
+ | `-- ... (212 more entries)
495
+
496
+ |-- meta
497
+
498
+ | |-- episodes.jsonl
499
+
500
+ | |-- episodes_stats.jsonl
501
+
502
+ | |-- info.json
503
+
504
+ | `-- tasks.jsonl
505
+
506
+ |-- videos
507
+
508
+ | `-- chunk-000
509
+
510
+ | |-- observation.images.cam_head_left_rgb
511
+
512
+ | |-- observation.images.cam_head_right_rgb
513
+
514
+ | |-- observation.images.cam_left_wrist_rgb
515
+
516
+ | `-- observation.images.cam_right_wrist_rgb
517
+
518
+ |-- info.yaml
519
+
520
+ `-- README.md'
521
+ splits:
522
+ train: 0:223
523
+ features:
524
+ observation.images.cam_head_left_rgb:
525
+ dtype: video
526
+ shape:
527
+ - 720
528
+ - 1280
529
+ - 3
530
+ names:
531
+ - height
532
+ - width
533
+ - channels
534
+ info:
535
+ video.height: 720
536
+ video.width: 1280
537
+ video.codec: av1
538
+ video.pix_fmt: yuv420p
539
+ video.is_depth_map: false
540
+ video.fps: 30
541
+ video.channels: 3
542
+ has_audio: false
543
+ observation.images.cam_head_right_rgb:
544
+ dtype: video
545
+ shape:
546
+ - 720
547
+ - 1280
548
+ - 3
549
+ names:
550
+ - height
551
+ - width
552
+ - channels
553
+ info:
554
+ video.height: 720
555
+ video.width: 1280
556
+ video.codec: av1
557
+ video.pix_fmt: yuv420p
558
+ video.is_depth_map: false
559
+ video.fps: 30
560
+ video.channels: 3
561
+ has_audio: false
562
+ observation.images.cam_left_wrist_rgb:
563
+ dtype: video
564
+ shape:
565
+ - 360
566
+ - 640
567
+ - 3
568
+ names:
569
+ - height
570
+ - width
571
+ - channels
572
+ info:
573
+ video.height: 360
574
+ video.width: 640
575
+ video.codec: av1
576
+ video.pix_fmt: yuv420p
577
+ video.is_depth_map: false
578
+ video.fps: 30
579
+ video.channels: 3
580
+ has_audio: false
581
+ observation.images.cam_right_wrist_rgb:
582
+ dtype: video
583
+ shape:
584
+ - 360
585
+ - 640
586
+ - 3
587
+ names:
588
+ - height
589
+ - width
590
+ - channels
591
+ info:
592
+ video.height: 360
593
+ video.width: 640
594
+ video.codec: av1
595
+ video.pix_fmt: yuv420p
596
+ video.is_depth_map: false
597
+ video.fps: 30
598
+ video.channels: 3
599
+ has_audio: false
600
+ observation.state:
601
+ dtype: float32
602
+ shape:
603
+ - 14
604
+ names:
605
+ - left_arm_joint_1_rad
606
+ - left_arm_joint_2_rad
607
+ - left_arm_joint_3_rad
608
+ - left_arm_joint_4_rad
609
+ - left_arm_joint_5_rad
610
+ - left_arm_joint_6_rad
611
+ - right_arm_joint_1_rad
612
+ - right_arm_joint_2_rad
613
+ - right_arm_joint_3_rad
614
+ - right_arm_joint_4_rad
615
+ - right_arm_joint_5_rad
616
+ - right_arm_joint_6_rad
617
+ - left_gripper_open
618
+ - right_gripper_open
619
+ action:
620
+ dtype: float32
621
+ shape:
622
+ - 14
623
+ names:
624
+ - left_arm_joint_1_rad
625
+ - left_arm_joint_2_rad
626
+ - left_arm_joint_3_rad
627
+ - left_arm_joint_4_rad
628
+ - left_arm_joint_5_rad
629
+ - left_arm_joint_6_rad
630
+ - right_arm_joint_1_rad
631
+ - right_arm_joint_2_rad
632
+ - right_arm_joint_3_rad
633
+ - right_arm_joint_4_rad
634
+ - right_arm_joint_5_rad
635
+ - right_arm_joint_6_rad
636
+ - left_gripper_open
637
+ - right_gripper_open
638
+ timestamp:
639
+ dtype: float32
640
+ shape:
641
+ - 1
642
+ names: null
643
+ frame_index:
644
+ dtype: int64
645
+ shape:
646
+ - 1
647
+ names: null
648
+ episode_index:
649
+ dtype: int64
650
+ shape:
651
+ - 1
652
+ names: null
653
+ index:
654
+ dtype: int64
655
+ shape:
656
+ - 1
657
+ names: null
658
+ task_index:
659
+ dtype: int64
660
+ shape:
661
+ - 1
662
+ names: null
663
+ subtask_annotation:
664
+ names: null
665
+ shape:
666
+ - 5
667
+ dtype: int32
668
+ scene_annotation:
669
+ names: null
670
+ shape:
671
+ - 1
672
+ dtype: int32
673
+ eef_sim_pose_state:
674
+ names:
675
+ - left_eef_pos_x
676
+ - left_eef_pos_y
677
+ - left_eef_pos_z
678
+ - left_eef_rot_x
679
+ - left_eef_rot_y
680
+ - left_eef_rot_z
681
+ - right_eef_pos_x
682
+ - right_eef_pos_y
683
+ - right_eef_pos_z
684
+ - right_eef_rot_x
685
+ - right_eef_rot_y
686
+ - right_eef_rot_z
687
+ shape:
688
+ - 12
689
+ dtype: float32
690
+ eef_sim_pose_action:
691
+ names:
692
+ - left_eef_pos_x
693
+ - left_eef_pos_y
694
+ - left_eef_pos_z
695
+ - left_eef_rot_x
696
+ - left_eef_rot_y
697
+ - left_eef_rot_z
698
+ - right_eef_pos_x
699
+ - right_eef_pos_y
700
+ - right_eef_pos_z
701
+ - right_eef_rot_x
702
+ - right_eef_rot_y
703
+ - right_eef_rot_z
704
+ shape:
705
+ - 12
706
+ dtype: float32
707
+ eef_direction_state:
708
+ names:
709
+ - left_eef_direction
710
+ - right_eef_direction
711
+ shape:
712
+ - 2
713
+ dtype: int32
714
+ eef_direction_action:
715
+ names:
716
+ - left_eef_direction
717
+ - right_eef_direction
718
+ shape:
719
+ - 2
720
+ dtype: int32
721
+ eef_velocity_state:
722
+ names:
723
+ - left_eef_velocity
724
+ - right_eef_velocity
725
+ shape:
726
+ - 2
727
+ dtype: int32
728
+ eef_velocity_action:
729
+ names:
730
+ - left_eef_velocity
731
+ - right_eef_velocity
732
+ shape:
733
+ - 2
734
+ dtype: int32
735
+ eef_acc_mag_state:
736
+ names:
737
+ - left_eef_acc_mag
738
+ - right_eef_acc_mag
739
+ shape:
740
+ - 2
741
+ dtype: int32
742
+ eef_acc_mag_action:
743
+ names:
744
+ - left_eef_acc_mag
745
+ - right_eef_acc_mag
746
+ shape:
747
+ - 2
748
+ dtype: int32
749
+ gripper_open_scale_state:
750
+ names:
751
+ - left_gripper_open_scale
752
+ - right_gripper_open_scale
753
+ shape:
754
+ - 2
755
+ dtype: float32
756
+ gripper_open_scale_action:
757
+ names:
758
+ - left_gripper_open_scale
759
+ - right_gripper_open_scale
760
+ shape:
761
+ - 2
762
+ dtype: float32
763
+ gripper_mode_state:
764
+ names:
765
+ - left_gripper_mode
766
+ - right_gripper_mode
767
+ shape:
768
+ - 2
769
+ dtype: int32
770
+ gripper_mode_action:
771
+ names:
772
+ - left_gripper_mode
773
+ - right_gripper_mode
774
+ shape:
775
+ - 2
776
+ dtype: int32
777
+ gripper_activity_state:
778
+ names:
779
+ - left_gripper_activity
780
+ - right_gripper_activity
781
+ shape:
782
+ - 2
783
+ dtype: int32
784
+ gripper_activity_action:
785
+ names:
786
+ - left_gripper_activity
787
+ - right_gripper_activity
788
+ shape:
789
+ - 2
790
+ dtype: int32
791
+ authors:
792
+ contributed_by:
793
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
794
+ dataset_description: This dataset uses an extended format based on LeRobot and is
795
+ fully compatible with LeRobot.
796
+ homepage: https://flagopen.github.io/RoboCOIN/
797
+ paper: https://arxiv.org/abs/2511.17441
798
+ repository: https://github.com/FlagOpen/RoboCOIN
799
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
800
+ us.
801
+ support_info: For technical support, please open an issue on our GitHub repository.
802
+ license_details: apache-2.0
803
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
804
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
805
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
806
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
807
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
808
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
809
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
810
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
811
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
812
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
813
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
814
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
815
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
816
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
817
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
818
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
819
+ additional_citations: 'If you use this dataset, please also consider citing:
820
+
821
+ LeRobot Framework: https://github.com/huggingface/lerobot
822
+
823
+ '
824
+ version_info: Initial Release
825
+ data_path: data/chunk-{id}/episode_{id}.parquet
826
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
827
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_blue_yellow_large_test_tube.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: Galaxea_R1_Lite_mix_blue_yellow_large_test_tube
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: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_pigment
41
+ level1: materials
42
+ level2: yellow_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: red_pigment
47
+ level1: materials
48
+ level2: red_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: test_tubes
59
+ level1: laboratory_supplies
60
+ level2: test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
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
+ - pick up the test tube with yellow pigment and the test tube with blue pigment by
74
+ grippers and pour them into the beaker.
75
+ sub_tasks:
76
+ - subtask: Grasp the yellow reagent with the right gripper
77
+ subtask_index: 0
78
+ - subtask: Pour the yellow reagent into the graduated cylinder and place the test
79
+ tube into the paper cup
80
+ subtask_index: 1
81
+ - subtask: Pour the yellow reagent into the graduated cylinder with the right gripper
82
+ subtask_index: 2
83
+ - subtask: Pour the blue reagent into the graduated cylinder and place the test tube
84
+ into the paper cup
85
+ subtask_index: 3
86
+ - subtask: Pour the blue reagent into the graduated cylinder with the left gripper
87
+ subtask_index: 4
88
+ - subtask: End
89
+ subtask_index: 5
90
+ - subtask: Place the test tube into the paper cup with the right gripper
91
+ subtask_index: 6
92
+ - subtask: Place the test tube into the paper cup with the left gripper
93
+ subtask_index: 7
94
+ - subtask: Grasp the blue reagent with the left gripper
95
+ subtask_index: 8
96
+ - subtask: 'null'
97
+ subtask_index: 9
98
+ atomic_actions:
99
+ - grasp
100
+ - pick
101
+ - place
102
+ - pour
103
+ robot_name:
104
+ - Galaxea_R1_Lite
105
+ end_effector_type: two_finger_gripper
106
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
107
+ type information.
108
+ sensor_list:
109
+ - cam_head_left_rgb
110
+ - cam_head_right_rgb
111
+ - cam_left_wrist_rgb
112
+ - cam_right_wrist_rgb
113
+ came_info:
114
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
115
+ pix_fmt=yuv420p
116
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
117
+ pix_fmt=yuv420p
118
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
119
+ pix_fmt=yuv420p
120
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
121
+ pix_fmt=yuv420p
122
+ depth_enabled: false
123
+ coordinate_definition: right-hand-frame
124
+ joint_rotation_dim: radian
125
+ end_rotation_dim: end_rotation_dim
126
+ end_translation_dim: end_translation_dim
127
+ annotations:
128
+ - eef_acc_mag_annotation.jsonl
129
+ - eef_direction_annotation.jsonl
130
+ - eef_velocity_annotation.jsonl
131
+ - gripper_activity_annotation.jsonl
132
+ - gripper_mode_annotation.jsonl
133
+ - scene_annotations.jsonl
134
+ - subtask_annotations.jsonl
135
+ statistics:
136
+ total_episodes: 51
137
+ total_frames: 29341
138
+ fps: 30
139
+ total_tasks: 10
140
+ total_videos: 204
141
+ total_chunks: 1
142
+ chunks_size: 1000
143
+ state_dim: 14
144
+ action_dim: 14
145
+ camera_views: 4
146
+ dataset_size: 1.59 GB
147
+ frame_num: 29341
148
+ dataset_size: 1.59 GB
149
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_mix_blue_yellow_large_test_tube_qced_hardlink/
150
+
151
+ |-- annotations
152
+
153
+ | |-- eef_acc_mag_annotation.jsonl
154
+
155
+ | |-- eef_direction_annotation.jsonl
156
+
157
+ | |-- eef_velocity_annotation.jsonl
158
+
159
+ | |-- gripper_activity_annotation.jsonl
160
+
161
+ | |-- gripper_mode_annotation.jsonl
162
+
163
+ | |-- scene_annotations.jsonl
164
+
165
+ | `-- subtask_annotations.jsonl
166
+
167
+ |-- data
168
+
169
+ | `-- chunk-000
170
+
171
+ | |-- episode_000000.parquet
172
+
173
+ | |-- episode_000001.parquet
174
+
175
+ | |-- episode_000002.parquet
176
+
177
+ | |-- episode_000003.parquet
178
+
179
+ | |-- episode_000004.parquet
180
+
181
+ | |-- episode_000005.parquet
182
+
183
+ | |-- episode_000006.parquet
184
+
185
+ | |-- episode_000007.parquet
186
+
187
+ | |-- episode_000008.parquet
188
+
189
+ | |-- episode_000009.parquet
190
+
191
+ | |-- episode_000010.parquet
192
+
193
+ | `-- episode_000011.parquet
194
+
195
+ | `-- ... (39 more entries)
196
+
197
+ |-- meta
198
+
199
+ | |-- episodes.jsonl
200
+
201
+ | |-- episodes_stats.jsonl
202
+
203
+ | |-- info.json
204
+
205
+ | `-- tasks.jsonl
206
+
207
+ |-- videos
208
+
209
+ | `-- chunk-000
210
+
211
+ | |-- observation.images.cam_head_left_rgb
212
+
213
+ | |-- observation.images.cam_head_right_rgb
214
+
215
+ | |-- observation.images.cam_left_wrist_rgb
216
+
217
+ | `-- observation.images.cam_right_wrist_rgb
218
+
219
+ |-- info.yaml
220
+
221
+ `-- README.md'
222
+ splits:
223
+ train: 0:50
224
+ features:
225
+ observation.images.cam_head_left_rgb:
226
+ dtype: video
227
+ shape:
228
+ - 720
229
+ - 1280
230
+ - 3
231
+ names:
232
+ - height
233
+ - width
234
+ - channels
235
+ info:
236
+ video.height: 720
237
+ video.width: 1280
238
+ video.codec: av1
239
+ video.pix_fmt: yuv420p
240
+ video.is_depth_map: false
241
+ video.fps: 30
242
+ video.channels: 3
243
+ has_audio: false
244
+ observation.images.cam_head_right_rgb:
245
+ dtype: video
246
+ shape:
247
+ - 720
248
+ - 1280
249
+ - 3
250
+ names:
251
+ - height
252
+ - width
253
+ - channels
254
+ info:
255
+ video.height: 720
256
+ video.width: 1280
257
+ video.codec: av1
258
+ video.pix_fmt: yuv420p
259
+ video.is_depth_map: false
260
+ video.fps: 30
261
+ video.channels: 3
262
+ has_audio: false
263
+ observation.images.cam_left_wrist_rgb:
264
+ dtype: video
265
+ shape:
266
+ - 360
267
+ - 640
268
+ - 3
269
+ names:
270
+ - height
271
+ - width
272
+ - channels
273
+ info:
274
+ video.height: 360
275
+ video.width: 640
276
+ video.codec: av1
277
+ video.pix_fmt: yuv420p
278
+ video.is_depth_map: false
279
+ video.fps: 30
280
+ video.channels: 3
281
+ has_audio: false
282
+ observation.images.cam_right_wrist_rgb:
283
+ dtype: video
284
+ shape:
285
+ - 360
286
+ - 640
287
+ - 3
288
+ names:
289
+ - height
290
+ - width
291
+ - channels
292
+ info:
293
+ video.height: 360
294
+ video.width: 640
295
+ video.codec: av1
296
+ video.pix_fmt: yuv420p
297
+ video.is_depth_map: false
298
+ video.fps: 30
299
+ video.channels: 3
300
+ has_audio: false
301
+ observation.state:
302
+ dtype: float32
303
+ shape:
304
+ - 14
305
+ names:
306
+ - left_arm_joint_1_rad
307
+ - left_arm_joint_2_rad
308
+ - left_arm_joint_3_rad
309
+ - left_arm_joint_4_rad
310
+ - left_arm_joint_5_rad
311
+ - left_arm_joint_6_rad
312
+ - right_arm_joint_1_rad
313
+ - right_arm_joint_2_rad
314
+ - right_arm_joint_3_rad
315
+ - right_arm_joint_4_rad
316
+ - right_arm_joint_5_rad
317
+ - right_arm_joint_6_rad
318
+ - left_gripper_open
319
+ - right_gripper_open
320
+ action:
321
+ dtype: float32
322
+ shape:
323
+ - 14
324
+ names:
325
+ - left_arm_joint_1_rad
326
+ - left_arm_joint_2_rad
327
+ - left_arm_joint_3_rad
328
+ - left_arm_joint_4_rad
329
+ - left_arm_joint_5_rad
330
+ - left_arm_joint_6_rad
331
+ - right_arm_joint_1_rad
332
+ - right_arm_joint_2_rad
333
+ - right_arm_joint_3_rad
334
+ - right_arm_joint_4_rad
335
+ - right_arm_joint_5_rad
336
+ - right_arm_joint_6_rad
337
+ - left_gripper_open
338
+ - right_gripper_open
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
+ shape:
367
+ - 5
368
+ dtype: int32
369
+ scene_annotation:
370
+ names: null
371
+ shape:
372
+ - 1
373
+ dtype: int32
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
+ shape:
389
+ - 12
390
+ dtype: float32
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
+ shape:
406
+ - 12
407
+ dtype: float32
408
+ eef_direction_state:
409
+ names:
410
+ - left_eef_direction
411
+ - right_eef_direction
412
+ shape:
413
+ - 2
414
+ dtype: int32
415
+ eef_direction_action:
416
+ names:
417
+ - left_eef_direction
418
+ - right_eef_direction
419
+ shape:
420
+ - 2
421
+ dtype: int32
422
+ eef_velocity_state:
423
+ names:
424
+ - left_eef_velocity
425
+ - right_eef_velocity
426
+ shape:
427
+ - 2
428
+ dtype: int32
429
+ eef_velocity_action:
430
+ names:
431
+ - left_eef_velocity
432
+ - right_eef_velocity
433
+ shape:
434
+ - 2
435
+ dtype: int32
436
+ eef_acc_mag_state:
437
+ names:
438
+ - left_eef_acc_mag
439
+ - right_eef_acc_mag
440
+ shape:
441
+ - 2
442
+ dtype: int32
443
+ eef_acc_mag_action:
444
+ names:
445
+ - left_eef_acc_mag
446
+ - right_eef_acc_mag
447
+ shape:
448
+ - 2
449
+ dtype: int32
450
+ gripper_open_scale_state:
451
+ names:
452
+ - left_gripper_open_scale
453
+ - right_gripper_open_scale
454
+ shape:
455
+ - 2
456
+ dtype: float32
457
+ gripper_open_scale_action:
458
+ names:
459
+ - left_gripper_open_scale
460
+ - right_gripper_open_scale
461
+ shape:
462
+ - 2
463
+ dtype: float32
464
+ gripper_mode_state:
465
+ names:
466
+ - left_gripper_mode
467
+ - right_gripper_mode
468
+ shape:
469
+ - 2
470
+ dtype: int32
471
+ gripper_mode_action:
472
+ names:
473
+ - left_gripper_mode
474
+ - right_gripper_mode
475
+ shape:
476
+ - 2
477
+ dtype: int32
478
+ gripper_activity_state:
479
+ names:
480
+ - left_gripper_activity
481
+ - right_gripper_activity
482
+ shape:
483
+ - 2
484
+ dtype: int32
485
+ gripper_activity_action:
486
+ names:
487
+ - left_gripper_activity
488
+ - right_gripper_activity
489
+ shape:
490
+ - 2
491
+ dtype: int32
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_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_pour_water_black_tablecloth.yaml ADDED
@@ -0,0 +1,575 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_water_black_tablecloth
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: black_table_cloth
35
+ level1: table_cloths
36
+ level2: black_table_cloth
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: any_cup
41
+ level1: cups
42
+ level2: any_cup
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: water
47
+ level1: beverages
48
+ level2: water
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
+ - use the gripper to pour the water into the other two cups on black table.
56
+ sub_tasks:
57
+ - subtask: Pick up the gray plastic cup with left gripper
58
+ subtask_index: 0
59
+ - subtask: Pour water from blue cup to white cup with the left gripper
60
+ subtask_index: 1
61
+ - subtask: Pour water from white cup to blue cup with the right gripper
62
+ subtask_index: 2
63
+ - subtask: Grasp the green cup with the left gripper
64
+ subtask_index: 3
65
+ - subtask: Place the blue plastic cup on the table with left gripper
66
+ subtask_index: 4
67
+ - subtask: Pour water from blue cup to green cup with the right gripper
68
+ subtask_index: 5
69
+ - subtask: Pour water from white cup to green cup with the right gripper
70
+ subtask_index: 6
71
+ - subtask: Left gripper
72
+ subtask_index: 7
73
+ - subtask: Pick up the green plastic cup with right gripper
74
+ subtask_index: 8
75
+ - subtask: Pour water from blue cup to green cup with the left gripper
76
+ subtask_index: 9
77
+ - subtask: Grasp the blue cup with the left gripper
78
+ subtask_index: 10
79
+ - subtask: Pour water into the green plastic cup with right gripper
80
+ subtask_index: 11
81
+ - subtask: Pour water into the blue plastic cup with left gripper
82
+ subtask_index: 12
83
+ - subtask: Place the white cup with the right gripper
84
+ subtask_index: 13
85
+ - subtask: Grasp the white cup with the right gripper
86
+ subtask_index: 14
87
+ - subtask: Pick up the blue plastic cup with right gripper
88
+ subtask_index: 15
89
+ - subtask: Place the white cup with the left gripper
90
+ subtask_index: 16
91
+ - subtask: Place the blue cup with the right gripper
92
+ subtask_index: 17
93
+ - subtask: Place the gray plastic cup on the table with left gripper
94
+ subtask_index: 18
95
+ - subtask: Pick up the green plastic cup with left gripper
96
+ subtask_index: 19
97
+ - subtask: Pour water into the blue plastic cup with right gripper
98
+ subtask_index: 20
99
+ - subtask: Grasp the green cup with the right gripper
100
+ subtask_index: 21
101
+ - subtask: Pick up the blue plastic cup with left gripper
102
+ subtask_index: 22
103
+ - subtask: Grasp the white cup with the left gripper
104
+ subtask_index: 23
105
+ - subtask: Pour water from white cup to green cup with the left gripper
106
+ subtask_index: 24
107
+ - subtask: Pour water from blue cup to white cup with the right gripper
108
+ subtask_index: 25
109
+ - subtask: Place the blue plastic cup on the table with right gripper
110
+ subtask_index: 26
111
+ - subtask: Pour water from white cup to blue cup with the left gripper
112
+ subtask_index: 27
113
+ - subtask: Pour water into the green plastic cup with left gripper
114
+ subtask_index: 28
115
+ - subtask: Pour water from green cup to blue cup with the right gripper
116
+ subtask_index: 29
117
+ - subtask: Place the green plastic cup on the table with left gripper
118
+ subtask_index: 30
119
+ - subtask: Place the green plastic cup on the table with right gripper
120
+ subtask_index: 31
121
+ - subtask: Grasp the blue cup with the right gripper
122
+ subtask_index: 32
123
+ - subtask: Place the green cup with the right gripper
124
+ subtask_index: 33
125
+ - subtask: Pour water from green cup to blue cup with the left gripper
126
+ subtask_index: 34
127
+ - subtask: Place the green cup with the left gripper
128
+ subtask_index: 35
129
+ - subtask: End
130
+ subtask_index: 36
131
+ - subtask: Place the blue cup with the left gripper
132
+ subtask_index: 37
133
+ - subtask: Pour water from green cup to white cup with the left gripper
134
+ subtask_index: 38
135
+ - subtask: Right gripper
136
+ subtask_index: 39
137
+ - subtask: Pour water into the gray plastic cup with right gripper
138
+ subtask_index: 40
139
+ - subtask: Pour water into the gray plastic cup with left gripper
140
+ subtask_index: 41
141
+ - subtask: Pour water from green cup to white cup with the right gripper
142
+ subtask_index: 42
143
+ - subtask: 'null'
144
+ subtask_index: 43
145
+ atomic_actions:
146
+ - grasp
147
+ - pick
148
+ - place
149
+ - pour
150
+ robot_name:
151
+ - Galaxea_R1_Lite
152
+ end_effector_type: two_finger_gripper
153
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
154
+ type information.
155
+ sensor_list:
156
+ - cam_head_left_rgb
157
+ - cam_head_right_rgb
158
+ - cam_left_wrist_rgb
159
+ - cam_right_wrist_rgb
160
+ came_info:
161
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
162
+ pix_fmt=yuv420p
163
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
164
+ pix_fmt=yuv420p
165
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
166
+ pix_fmt=yuv420p
167
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
168
+ pix_fmt=yuv420p
169
+ depth_enabled: false
170
+ coordinate_definition: right-hand-frame
171
+ joint_rotation_dim: radian
172
+ end_rotation_dim: end_rotation_dim
173
+ end_translation_dim: end_translation_dim
174
+ annotations:
175
+ - eef_acc_mag_annotation.jsonl
176
+ - eef_direction_annotation.jsonl
177
+ - eef_velocity_annotation.jsonl
178
+ - gripper_activity_annotation.jsonl
179
+ - gripper_mode_annotation.jsonl
180
+ - scene_annotations.jsonl
181
+ - subtask_annotations.jsonl
182
+ statistics:
183
+ total_episodes: 98
184
+ total_frames: 42644
185
+ fps: 30
186
+ total_tasks: 44
187
+ total_videos: 392
188
+ total_chunks: 1
189
+ chunks_size: 1000
190
+ state_dim: 14
191
+ action_dim: 14
192
+ camera_views: 4
193
+ dataset_size: 1.43 GB
194
+ frame_num: 42644
195
+ dataset_size: 1.43 GB
196
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_pour_water_black_tablecloth_qced_hardlink/
197
+
198
+ |-- annotations
199
+
200
+ | |-- eef_acc_mag_annotation.jsonl
201
+
202
+ | |-- eef_direction_annotation.jsonl
203
+
204
+ | |-- eef_velocity_annotation.jsonl
205
+
206
+ | |-- gripper_activity_annotation.jsonl
207
+
208
+ | |-- gripper_mode_annotation.jsonl
209
+
210
+ | |-- scene_annotations.jsonl
211
+
212
+ | `-- subtask_annotations.jsonl
213
+
214
+ |-- data
215
+
216
+ | `-- chunk-000
217
+
218
+ | |-- episode_000000.parquet
219
+
220
+ | |-- episode_000001.parquet
221
+
222
+ | |-- episode_000002.parquet
223
+
224
+ | |-- episode_000003.parquet
225
+
226
+ | |-- episode_000004.parquet
227
+
228
+ | |-- episode_000005.parquet
229
+
230
+ | |-- episode_000006.parquet
231
+
232
+ | |-- episode_000007.parquet
233
+
234
+ | |-- episode_000008.parquet
235
+
236
+ | |-- episode_000009.parquet
237
+
238
+ | |-- episode_000010.parquet
239
+
240
+ | `-- episode_000011.parquet
241
+
242
+ | `-- ... (86 more entries)
243
+
244
+ |-- meta
245
+
246
+ | |-- episodes.jsonl
247
+
248
+ | |-- episodes_stats.jsonl
249
+
250
+ | |-- info.json
251
+
252
+ | `-- tasks.jsonl
253
+
254
+ |-- videos
255
+
256
+ | `-- chunk-000
257
+
258
+ | |-- observation.images.cam_head_left_rgb
259
+
260
+ | |-- observation.images.cam_head_right_rgb
261
+
262
+ | |-- observation.images.cam_left_wrist_rgb
263
+
264
+ | `-- observation.images.cam_right_wrist_rgb
265
+
266
+ |-- info.yaml
267
+
268
+ `-- README.md'
269
+ splits:
270
+ train: 0:97
271
+ features:
272
+ observation.images.cam_head_left_rgb:
273
+ dtype: video
274
+ shape:
275
+ - 720
276
+ - 1280
277
+ - 3
278
+ names:
279
+ - height
280
+ - width
281
+ - channels
282
+ info:
283
+ video.height: 720
284
+ video.width: 1280
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_head_right_rgb:
292
+ dtype: video
293
+ shape:
294
+ - 720
295
+ - 1280
296
+ - 3
297
+ names:
298
+ - height
299
+ - width
300
+ - channels
301
+ info:
302
+ video.height: 720
303
+ video.width: 1280
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.images.cam_left_wrist_rgb:
311
+ dtype: video
312
+ shape:
313
+ - 360
314
+ - 640
315
+ - 3
316
+ names:
317
+ - height
318
+ - width
319
+ - channels
320
+ info:
321
+ video.height: 360
322
+ video.width: 640
323
+ video.codec: av1
324
+ video.pix_fmt: yuv420p
325
+ video.is_depth_map: false
326
+ video.fps: 30
327
+ video.channels: 3
328
+ has_audio: false
329
+ observation.images.cam_right_wrist_rgb:
330
+ dtype: video
331
+ shape:
332
+ - 360
333
+ - 640
334
+ - 3
335
+ names:
336
+ - height
337
+ - width
338
+ - channels
339
+ info:
340
+ video.height: 360
341
+ video.width: 640
342
+ video.codec: av1
343
+ video.pix_fmt: yuv420p
344
+ video.is_depth_map: false
345
+ video.fps: 30
346
+ video.channels: 3
347
+ has_audio: false
348
+ observation.state:
349
+ dtype: float32
350
+ shape:
351
+ - 14
352
+ names:
353
+ - left_arm_joint_1_rad
354
+ - left_arm_joint_2_rad
355
+ - left_arm_joint_3_rad
356
+ - left_arm_joint_4_rad
357
+ - left_arm_joint_5_rad
358
+ - left_arm_joint_6_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
+ - left_gripper_open
366
+ - right_gripper_open
367
+ action:
368
+ dtype: float32
369
+ shape:
370
+ - 14
371
+ names:
372
+ - left_arm_joint_1_rad
373
+ - left_arm_joint_2_rad
374
+ - left_arm_joint_3_rad
375
+ - left_arm_joint_4_rad
376
+ - left_arm_joint_5_rad
377
+ - left_arm_joint_6_rad
378
+ - right_arm_joint_1_rad
379
+ - right_arm_joint_2_rad
380
+ - right_arm_joint_3_rad
381
+ - right_arm_joint_4_rad
382
+ - right_arm_joint_5_rad
383
+ - right_arm_joint_6_rad
384
+ - left_gripper_open
385
+ - right_gripper_open
386
+ timestamp:
387
+ dtype: float32
388
+ shape:
389
+ - 1
390
+ names: null
391
+ frame_index:
392
+ dtype: int64
393
+ shape:
394
+ - 1
395
+ names: null
396
+ episode_index:
397
+ dtype: int64
398
+ shape:
399
+ - 1
400
+ names: null
401
+ index:
402
+ dtype: int64
403
+ shape:
404
+ - 1
405
+ names: null
406
+ task_index:
407
+ dtype: int64
408
+ shape:
409
+ - 1
410
+ names: null
411
+ subtask_annotation:
412
+ names: null
413
+ shape:
414
+ - 5
415
+ dtype: int32
416
+ scene_annotation:
417
+ names: null
418
+ shape:
419
+ - 1
420
+ dtype: int32
421
+ eef_sim_pose_state:
422
+ names:
423
+ - left_eef_pos_x
424
+ - left_eef_pos_y
425
+ - left_eef_pos_z
426
+ - left_eef_rot_x
427
+ - left_eef_rot_y
428
+ - left_eef_rot_z
429
+ - right_eef_pos_x
430
+ - right_eef_pos_y
431
+ - right_eef_pos_z
432
+ - right_eef_rot_x
433
+ - right_eef_rot_y
434
+ - right_eef_rot_z
435
+ shape:
436
+ - 12
437
+ dtype: float32
438
+ eef_sim_pose_action:
439
+ names:
440
+ - left_eef_pos_x
441
+ - left_eef_pos_y
442
+ - left_eef_pos_z
443
+ - left_eef_rot_x
444
+ - left_eef_rot_y
445
+ - left_eef_rot_z
446
+ - right_eef_pos_x
447
+ - right_eef_pos_y
448
+ - right_eef_pos_z
449
+ - right_eef_rot_x
450
+ - right_eef_rot_y
451
+ - right_eef_rot_z
452
+ shape:
453
+ - 12
454
+ dtype: float32
455
+ eef_direction_state:
456
+ names:
457
+ - left_eef_direction
458
+ - right_eef_direction
459
+ shape:
460
+ - 2
461
+ dtype: int32
462
+ eef_direction_action:
463
+ names:
464
+ - left_eef_direction
465
+ - right_eef_direction
466
+ shape:
467
+ - 2
468
+ dtype: int32
469
+ eef_velocity_state:
470
+ names:
471
+ - left_eef_velocity
472
+ - right_eef_velocity
473
+ shape:
474
+ - 2
475
+ dtype: int32
476
+ eef_velocity_action:
477
+ names:
478
+ - left_eef_velocity
479
+ - right_eef_velocity
480
+ shape:
481
+ - 2
482
+ dtype: int32
483
+ eef_acc_mag_state:
484
+ names:
485
+ - left_eef_acc_mag
486
+ - right_eef_acc_mag
487
+ shape:
488
+ - 2
489
+ dtype: int32
490
+ eef_acc_mag_action:
491
+ names:
492
+ - left_eef_acc_mag
493
+ - right_eef_acc_mag
494
+ shape:
495
+ - 2
496
+ dtype: int32
497
+ gripper_open_scale_state:
498
+ names:
499
+ - left_gripper_open_scale
500
+ - right_gripper_open_scale
501
+ shape:
502
+ - 2
503
+ dtype: float32
504
+ gripper_open_scale_action:
505
+ names:
506
+ - left_gripper_open_scale
507
+ - right_gripper_open_scale
508
+ shape:
509
+ - 2
510
+ dtype: float32
511
+ gripper_mode_state:
512
+ names:
513
+ - left_gripper_mode
514
+ - right_gripper_mode
515
+ shape:
516
+ - 2
517
+ dtype: int32
518
+ gripper_mode_action:
519
+ names:
520
+ - left_gripper_mode
521
+ - right_gripper_mode
522
+ shape:
523
+ - 2
524
+ dtype: int32
525
+ gripper_activity_state:
526
+ names:
527
+ - left_gripper_activity
528
+ - right_gripper_activity
529
+ shape:
530
+ - 2
531
+ dtype: int32
532
+ gripper_activity_action:
533
+ names:
534
+ - left_gripper_activity
535
+ - right_gripper_activity
536
+ shape:
537
+ - 2
538
+ dtype: int32
539
+ authors:
540
+ contributed_by:
541
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
542
+ dataset_description: This dataset uses an extended format based on LeRobot and is
543
+ fully compatible with LeRobot.
544
+ homepage: https://flagopen.github.io/RoboCOIN/
545
+ paper: https://arxiv.org/abs/2511.17441
546
+ repository: https://github.com/FlagOpen/RoboCOIN
547
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
548
+ us.
549
+ support_info: For technical support, please open an issue on our GitHub repository.
550
+ license_details: apache-2.0
551
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
552
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
553
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
554
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
555
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
556
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
557
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
558
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
559
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
560
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
561
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
562
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
563
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
564
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
565
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
566
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
567
+ additional_citations: 'If you use this dataset, please also consider citing:
568
+
569
+ LeRobot Framework: https://github.com/huggingface/lerobot
570
+
571
+ '
572
+ version_info: Initial Release
573
+ data_path: data/chunk-{id}/episode_{id}.parquet
574
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
575
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_storage_object_pink_bowl.yaml ADDED
@@ -0,0 +1,810 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_storage_object_pink_bowl
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: pink_bowl
35
+ level1: plastic_bowl
36
+ level2: pink_bowl
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: banana
41
+ level1: fruits
42
+ level2: banana
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: bathing_in_flowers
47
+ level1: daily_chemical_products
48
+ level2: bathing_in_flowers
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: blue_cup
53
+ level1: cups
54
+ level2: blue_cup
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: blue_pot
59
+ level1: kitchen_supplies
60
+ level2: blue_pot
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: toast_slices
65
+ level1: bread
66
+ level2: toast_slices
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: brown_towel
71
+ level1: towels
72
+ level2: brown_towel
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: can
77
+ level1: snacks
78
+ level2: can
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: coke
83
+ level1: beverages
84
+ level2: coke
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: potato_chips
89
+ level1: snacks
90
+ level2: potato_chips
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: chocolate
95
+ level1: snacks
96
+ level2: chocolate
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: compass
101
+ level1: stationery
102
+ level2: compass
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: block_pillar
107
+ level1: toys
108
+ level2: block_pillar
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: egg_beater
113
+ level1: kitchen_supplies
114
+ level2: egg_beater
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: eraser
119
+ level1: stationery
120
+ level2: eraser
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: chewing_gum
125
+ level1: snacks
126
+ level2: chewing_gum
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: mentholatum_facial_cleanser
131
+ level1: daily_necessities
132
+ level2: mentholatum_facial_cleanser
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: green_lemon
137
+ level1: fruits
138
+ level2: green_lemon
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ - object_name: peach
143
+ level1: fruits
144
+ level2: peach
145
+ level3: null
146
+ level4: null
147
+ level5: null
148
+ - object_name: power_strip
149
+ level1: appliances
150
+ level2: power_strip
151
+ level3: null
152
+ level4: null
153
+ level5: null
154
+ - object_name: round_bread
155
+ level1: bread
156
+ level2: round_bread
157
+ level3: null
158
+ level4: null
159
+ level5: null
160
+ - object_name: mentholatum_facial_cleanser
161
+ level1: daily_chemical_products
162
+ level2: mentholatum_facial_cleanser
163
+ level3: null
164
+ level4: null
165
+ level5: null
166
+ - object_name: square_building_blocks
167
+ level1: toys
168
+ level2: square_building_blocks
169
+ level3: null
170
+ level4: null
171
+ level5: null
172
+ - object_name: tape
173
+ level1: stationery
174
+ level2: tape
175
+ level3: null
176
+ level4: null
177
+ level5: null
178
+ - object_name: cake
179
+ level1: bread
180
+ level2: cake
181
+ level3: null
182
+ level4: null
183
+ level5: null
184
+ - object_name: duck
185
+ level1: doll
186
+ level2: duck
187
+ level3: null
188
+ level4: null
189
+ level5: null
190
+ - object_name: ambrosial_yogurt
191
+ level1: beverages
192
+ level2: ambrosial_yogurt
193
+ level3: null
194
+ level4: null
195
+ level5: null
196
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
197
+ the operation type information.
198
+ task_instruction:
199
+ - use a gripper to pick the target object and place on the pink bowl.
200
+ sub_tasks:
201
+ - subtask: Place the bread slice on the pink bowl with the left gripper
202
+ subtask_index: 0
203
+ - subtask: Place the round wooden block on the pink bowl with the left gripper
204
+ subtask_index: 1
205
+ - subtask: Grasp the blue pot with the left gripper
206
+ subtask_index: 2
207
+ - subtask: Grasp the plugboard with the left gripper
208
+ subtask_index: 3
209
+ - subtask: Place the chocolate on the pink bowl with the right gripper
210
+ subtask_index: 4
211
+ - subtask: Grasp the potato chips with the right gripper
212
+ subtask_index: 5
213
+ - subtask: Place the bread slice on the pink bowl with the right gripper
214
+ subtask_index: 6
215
+ - subtask: Grasp the banana with the left gripper
216
+ subtask_index: 7
217
+ - subtask: Place the round bread on the pink bowl with the right gripper
218
+ subtask_index: 8
219
+ - subtask: Grasp the compasses with the right gripper
220
+ subtask_index: 9
221
+ - subtask: Grasp the duck toy with the left gripper
222
+ subtask_index: 10
223
+ - subtask: Place the banana on the pink bowl with the left gripper
224
+ subtask_index: 11
225
+ - subtask: Place the hard facial cleanser on the pink bowl with the right gripper
226
+ subtask_index: 12
227
+ - subtask: Grasp the blue cup with the left gripper
228
+ subtask_index: 13
229
+ - subtask: Place the brown towel on the pink bowl with the right gripper
230
+ subtask_index: 14
231
+ - subtask: Place the duck toy on the pink bowl with the right gripper
232
+ subtask_index: 15
233
+ - subtask: Place the coke on the pink bowl with the right gripper
234
+ subtask_index: 16
235
+ - subtask: Grasp the square chewing gum with the left gripper
236
+ subtask_index: 17
237
+ - subtask: Grasp the chocolate cake with the right gripper
238
+ subtask_index: 18
239
+ - subtask: Place the banana on the pink bowl with the right gripper
240
+ subtask_index: 19
241
+ - subtask: Grasp the shower sphere with the left gripper
242
+ subtask_index: 20
243
+ - subtask: Grasp the plugboard with the right gripper
244
+ subtask_index: 21
245
+ - subtask: Grasp the yogurt with the right gripper
246
+ subtask_index: 22
247
+ - subtask: Grasp the tin with the left gripper
248
+ subtask_index: 23
249
+ - subtask: Grasp the brown towel with the left gripper
250
+ subtask_index: 24
251
+ - subtask: Place the peach on the pink bowl with the left gripper
252
+ subtask_index: 25
253
+ - subtask: Grasp the chocolate with the right gripper
254
+ subtask_index: 26
255
+ - subtask: Place the tape on the pink bowl with the right gripper
256
+ subtask_index: 27
257
+ - subtask: Grasp the peach with the right gripper
258
+ subtask_index: 28
259
+ - subtask: Grasp the brown towel with the right gripper
260
+ subtask_index: 29
261
+ - subtask: Grasp the back scratcher with the left gripper
262
+ subtask_index: 30
263
+ - subtask: Place the round wooden block on the pink bowl with the right gripper
264
+ subtask_index: 31
265
+ - subtask: Place the tape on the pink bowl with the left gripper
266
+ subtask_index: 32
267
+ - subtask: Place the duck toy on the pink bowl with the left gripper
268
+ subtask_index: 33
269
+ - subtask: Place the shower sphere on the pink bowl with the left gripper
270
+ subtask_index: 34
271
+ - subtask: Place the blue cup on the pink bowl with the left gripper
272
+ subtask_index: 35
273
+ - subtask: Grasp the hard facial cleanser with the right gripper
274
+ subtask_index: 36
275
+ - subtask: Place the blue pot on the pink bowl with the left gripper
276
+ subtask_index: 37
277
+ - subtask: Place the coke on the pink bowl with the left gripper
278
+ subtask_index: 38
279
+ - subtask: Place the blue cup on the pink bowl with the right gripper
280
+ subtask_index: 39
281
+ - subtask: Grasp the peach with the left gripper
282
+ subtask_index: 40
283
+ - subtask: Place the potato chips on the pink bowl with the right gripper
284
+ subtask_index: 41
285
+ - subtask: Place the square chewing gum on the pink bowl with the left gripper
286
+ subtask_index: 42
287
+ - subtask: Place the square wooden block on the pink bowl with the right gripper
288
+ subtask_index: 43
289
+ - subtask: Place the blackboard erasure on the pink bowl with the left gripper
290
+ subtask_index: 44
291
+ - subtask: Grasp the bread slice with the right gripper
292
+ subtask_index: 45
293
+ - subtask: Grasp the potato chips with the left gripper
294
+ subtask_index: 46
295
+ - subtask: Grasp the duck toy with the right gripper
296
+ subtask_index: 47
297
+ - subtask: End
298
+ subtask_index: 48
299
+ - subtask: Place the compasses on the pink bowl with the left gripper
300
+ subtask_index: 49
301
+ - subtask: Place the blue pot on the pink bowl with the right gripper
302
+ subtask_index: 50
303
+ - subtask: Grasp the blackboard erasure with the left gripper
304
+ subtask_index: 51
305
+ - subtask: Grasp the coke with the left gripper
306
+ subtask_index: 52
307
+ - subtask: Place the chocolate cake on the pink bowl with the right gripper
308
+ subtask_index: 53
309
+ - subtask: Grasp the round wooden block with the left gripper
310
+ subtask_index: 54
311
+ - subtask: Place the blackboard erasure on the pink bowl with the right gripper
312
+ subtask_index: 55
313
+ - subtask: Grasp the compasses with the left gripper
314
+ subtask_index: 56
315
+ - subtask: Place the peach on the pink bowl with the right gripper
316
+ subtask_index: 57
317
+ - subtask: Place the soft facial cleanser on the pink bowl with the right gripper
318
+ subtask_index: 58
319
+ - subtask: Grasp the blue pot with the right gripper
320
+ subtask_index: 59
321
+ - subtask: Grasp the round bread with the right gripper
322
+ subtask_index: 60
323
+ - subtask: Place the plugboard on the pink bowl with the left gripper
324
+ subtask_index: 61
325
+ - subtask: Grasp the tin with the right gripper
326
+ subtask_index: 62
327
+ - subtask: Place the square chewing gum on the pink bowl with the right gripper
328
+ subtask_index: 63
329
+ - subtask: Place the compasses on the pink bowl with the right gripper
330
+ subtask_index: 64
331
+ - subtask: Grasp the tape with the right gripper
332
+ subtask_index: 65
333
+ - subtask: Place the shower sphere on the pink bowl with the right gripper
334
+ subtask_index: 66
335
+ - subtask: Grasp the coke with the right gripper
336
+ subtask_index: 67
337
+ - subtask: Grasp the tape with the left gripper
338
+ subtask_index: 68
339
+ - subtask: Place the tin on the pink bowl with the right gripper
340
+ subtask_index: 69
341
+ - subtask: Grasp the square chewing gum with the right gripper
342
+ subtask_index: 70
343
+ - subtask: Grasp the shower sphere with the right gripper
344
+ subtask_index: 71
345
+ - subtask: Grasp the bread slice with the left gripper
346
+ subtask_index: 72
347
+ - subtask: Grasp the blackboard erasure with the right gripper
348
+ subtask_index: 73
349
+ - subtask: Place the brown towel on the pink bowl with the left gripper
350
+ subtask_index: 74
351
+ - subtask: Place the square wooden block on the pink bowl with the left gripper
352
+ subtask_index: 75
353
+ - subtask: Grasp the square wooden block with the left gripper
354
+ subtask_index: 76
355
+ - subtask: Grasp the blue cup with the right gripper
356
+ subtask_index: 77
357
+ - subtask: Place the back scratcher on the pink bowl with the left gripper
358
+ subtask_index: 78
359
+ - subtask: Grasp the soft facial cleanser with the right gripper
360
+ subtask_index: 79
361
+ - subtask: Place the green lemon on the pink bowl with the left gripper
362
+ subtask_index: 80
363
+ - subtask: Grasp the square wooden block with the right gripper
364
+ subtask_index: 81
365
+ - subtask: Grasp the green lemon with the left gripper
366
+ subtask_index: 82
367
+ - subtask: Place the tin on the pink bowl with the left gripper
368
+ subtask_index: 83
369
+ - subtask: Place the yogurt on the pink bowl with the right gripper
370
+ subtask_index: 84
371
+ - subtask: Place the potato chips on the pink bowl with the left gripper
372
+ subtask_index: 85
373
+ - subtask: Grasp the round wooden block with the right gripper
374
+ subtask_index: 86
375
+ - subtask: Grasp the banana with the right gripper
376
+ subtask_index: 87
377
+ - subtask: Place the plugboard on the pink bowl with the right gripper
378
+ subtask_index: 88
379
+ - subtask: 'null'
380
+ subtask_index: 89
381
+ atomic_actions:
382
+ - grasp
383
+ - pick
384
+ - place
385
+ robot_name:
386
+ - Galaxea_R1_Lite
387
+ end_effector_type: two_finger_gripper
388
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
389
+ type information.
390
+ sensor_list:
391
+ - cam_head_left_rgb
392
+ - cam_head_right_rgb
393
+ - cam_left_wrist_rgb
394
+ - cam_right_wrist_rgb
395
+ came_info:
396
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
397
+ pix_fmt=yuv420p
398
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
399
+ pix_fmt=yuv420p
400
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
401
+ pix_fmt=yuv420p
402
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
403
+ pix_fmt=yuv420p
404
+ depth_enabled: false
405
+ coordinate_definition: right-hand-frame
406
+ joint_rotation_dim: radian
407
+ end_rotation_dim: end_rotation_dim
408
+ end_translation_dim: end_translation_dim
409
+ annotations:
410
+ - eef_acc_mag_annotation.jsonl
411
+ - eef_direction_annotation.jsonl
412
+ - eef_velocity_annotation.jsonl
413
+ - gripper_activity_annotation.jsonl
414
+ - gripper_mode_annotation.jsonl
415
+ - scene_annotations.jsonl
416
+ - subtask_annotations.jsonl
417
+ statistics:
418
+ total_episodes: 102
419
+ total_frames: 20095
420
+ fps: 30
421
+ total_tasks: 90
422
+ total_videos: 408
423
+ total_chunks: 1
424
+ chunks_size: 1000
425
+ state_dim: 14
426
+ action_dim: 14
427
+ camera_views: 4
428
+ dataset_size: 752.15 MB
429
+ frame_num: 20095
430
+ dataset_size: 752.15 MB
431
+ data_structure: 'Galaxea_R1_Lite_storage_object_pink_bowl_qced_hardlink/
432
+
433
+ |-- annotations
434
+
435
+ | |-- eef_acc_mag_annotation.jsonl
436
+
437
+ | |-- eef_direction_annotation.jsonl
438
+
439
+ | |-- eef_velocity_annotation.jsonl
440
+
441
+ | |-- gripper_activity_annotation.jsonl
442
+
443
+ | |-- gripper_mode_annotation.jsonl
444
+
445
+ | |-- scene_annotations.jsonl
446
+
447
+ | `-- subtask_annotations.jsonl
448
+
449
+ |-- data
450
+
451
+ | `-- chunk-000
452
+
453
+ | |-- episode_000000.parquet
454
+
455
+ | |-- episode_000001.parquet
456
+
457
+ | |-- episode_000002.parquet
458
+
459
+ | |-- episode_000003.parquet
460
+
461
+ | |-- episode_000004.parquet
462
+
463
+ | |-- episode_000005.parquet
464
+
465
+ | |-- episode_000006.parquet
466
+
467
+ | |-- episode_000007.parquet
468
+
469
+ | |-- episode_000008.parquet
470
+
471
+ | |-- episode_000009.parquet
472
+
473
+ | |-- episode_000010.parquet
474
+
475
+ | `-- episode_000011.parquet
476
+
477
+ | `-- ... (90 more entries)
478
+
479
+ |-- meta
480
+
481
+ | |-- episodes.jsonl
482
+
483
+ | |-- episodes_stats.jsonl
484
+
485
+ | |-- info.json
486
+
487
+ | `-- tasks.jsonl
488
+
489
+ |-- videos
490
+
491
+ | `-- chunk-000
492
+
493
+ | |-- observation.images.cam_head_left_rgb
494
+
495
+ | |-- observation.images.cam_head_right_rgb
496
+
497
+ | |-- observation.images.cam_left_wrist_rgb
498
+
499
+ | `-- observation.images.cam_right_wrist_rgb
500
+
501
+ |-- info.yaml
502
+
503
+ `-- README.md'
504
+ splits:
505
+ train: 0:101
506
+ features:
507
+ observation.images.cam_head_left_rgb:
508
+ dtype: video
509
+ shape:
510
+ - 720
511
+ - 1280
512
+ - 3
513
+ names:
514
+ - height
515
+ - width
516
+ - channels
517
+ info:
518
+ video.height: 720
519
+ video.width: 1280
520
+ video.codec: av1
521
+ video.pix_fmt: yuv420p
522
+ video.is_depth_map: false
523
+ video.fps: 30
524
+ video.channels: 3
525
+ has_audio: false
526
+ observation.images.cam_head_right_rgb:
527
+ dtype: video
528
+ shape:
529
+ - 720
530
+ - 1280
531
+ - 3
532
+ names:
533
+ - height
534
+ - width
535
+ - channels
536
+ info:
537
+ video.height: 720
538
+ video.width: 1280
539
+ video.codec: av1
540
+ video.pix_fmt: yuv420p
541
+ video.is_depth_map: false
542
+ video.fps: 30
543
+ video.channels: 3
544
+ has_audio: false
545
+ observation.images.cam_left_wrist_rgb:
546
+ dtype: video
547
+ shape:
548
+ - 720
549
+ - 1280
550
+ - 3
551
+ names:
552
+ - height
553
+ - width
554
+ - channels
555
+ info:
556
+ video.height: 720
557
+ video.width: 1280
558
+ video.codec: av1
559
+ video.pix_fmt: yuv420p
560
+ video.is_depth_map: false
561
+ video.fps: 30
562
+ video.channels: 3
563
+ has_audio: false
564
+ observation.images.cam_right_wrist_rgb:
565
+ dtype: video
566
+ shape:
567
+ - 720
568
+ - 1280
569
+ - 3
570
+ names:
571
+ - height
572
+ - width
573
+ - channels
574
+ info:
575
+ video.height: 720
576
+ video.width: 1280
577
+ video.codec: av1
578
+ video.pix_fmt: yuv420p
579
+ video.is_depth_map: false
580
+ video.fps: 30
581
+ video.channels: 3
582
+ has_audio: false
583
+ observation.state:
584
+ dtype: float32
585
+ shape:
586
+ - 14
587
+ names:
588
+ - left_arm_joint_1_rad
589
+ - left_arm_joint_2_rad
590
+ - left_arm_joint_3_rad
591
+ - left_arm_joint_4_rad
592
+ - left_arm_joint_5_rad
593
+ - left_arm_joint_6_rad
594
+ - right_arm_joint_1_rad
595
+ - right_arm_joint_2_rad
596
+ - right_arm_joint_3_rad
597
+ - right_arm_joint_4_rad
598
+ - right_arm_joint_5_rad
599
+ - right_arm_joint_6_rad
600
+ - left_gripper_open
601
+ - right_gripper_open
602
+ action:
603
+ dtype: float32
604
+ shape:
605
+ - 14
606
+ names:
607
+ - left_arm_joint_1_rad
608
+ - left_arm_joint_2_rad
609
+ - left_arm_joint_3_rad
610
+ - left_arm_joint_4_rad
611
+ - left_arm_joint_5_rad
612
+ - left_arm_joint_6_rad
613
+ - right_arm_joint_1_rad
614
+ - right_arm_joint_2_rad
615
+ - right_arm_joint_3_rad
616
+ - right_arm_joint_4_rad
617
+ - right_arm_joint_5_rad
618
+ - right_arm_joint_6_rad
619
+ - left_gripper_open
620
+ - right_gripper_open
621
+ timestamp:
622
+ dtype: float32
623
+ shape:
624
+ - 1
625
+ names: null
626
+ frame_index:
627
+ dtype: int64
628
+ shape:
629
+ - 1
630
+ names: null
631
+ episode_index:
632
+ dtype: int64
633
+ shape:
634
+ - 1
635
+ names: null
636
+ index:
637
+ dtype: int64
638
+ shape:
639
+ - 1
640
+ names: null
641
+ task_index:
642
+ dtype: int64
643
+ shape:
644
+ - 1
645
+ names: null
646
+ subtask_annotation:
647
+ names: null
648
+ shape:
649
+ - 5
650
+ dtype: int32
651
+ scene_annotation:
652
+ names: null
653
+ shape:
654
+ - 1
655
+ dtype: int32
656
+ eef_sim_pose_state:
657
+ names:
658
+ - left_eef_pos_x
659
+ - left_eef_pos_y
660
+ - left_eef_pos_z
661
+ - left_eef_rot_x
662
+ - left_eef_rot_y
663
+ - left_eef_rot_z
664
+ - right_eef_pos_x
665
+ - right_eef_pos_y
666
+ - right_eef_pos_z
667
+ - right_eef_rot_x
668
+ - right_eef_rot_y
669
+ - right_eef_rot_z
670
+ shape:
671
+ - 12
672
+ dtype: float32
673
+ eef_sim_pose_action:
674
+ names:
675
+ - left_eef_pos_x
676
+ - left_eef_pos_y
677
+ - left_eef_pos_z
678
+ - left_eef_rot_x
679
+ - left_eef_rot_y
680
+ - left_eef_rot_z
681
+ - right_eef_pos_x
682
+ - right_eef_pos_y
683
+ - right_eef_pos_z
684
+ - right_eef_rot_x
685
+ - right_eef_rot_y
686
+ - right_eef_rot_z
687
+ shape:
688
+ - 12
689
+ dtype: float32
690
+ eef_direction_state:
691
+ names:
692
+ - left_eef_direction
693
+ - right_eef_direction
694
+ shape:
695
+ - 2
696
+ dtype: int32
697
+ eef_direction_action:
698
+ names:
699
+ - left_eef_direction
700
+ - right_eef_direction
701
+ shape:
702
+ - 2
703
+ dtype: int32
704
+ eef_velocity_state:
705
+ names:
706
+ - left_eef_velocity
707
+ - right_eef_velocity
708
+ shape:
709
+ - 2
710
+ dtype: int32
711
+ eef_velocity_action:
712
+ names:
713
+ - left_eef_velocity
714
+ - right_eef_velocity
715
+ shape:
716
+ - 2
717
+ dtype: int32
718
+ eef_acc_mag_state:
719
+ names:
720
+ - left_eef_acc_mag
721
+ - right_eef_acc_mag
722
+ shape:
723
+ - 2
724
+ dtype: int32
725
+ eef_acc_mag_action:
726
+ names:
727
+ - left_eef_acc_mag
728
+ - right_eef_acc_mag
729
+ shape:
730
+ - 2
731
+ dtype: int32
732
+ gripper_open_scale_state:
733
+ names:
734
+ - left_gripper_open_scale
735
+ - right_gripper_open_scale
736
+ shape:
737
+ - 2
738
+ dtype: float32
739
+ gripper_open_scale_action:
740
+ names:
741
+ - left_gripper_open_scale
742
+ - right_gripper_open_scale
743
+ shape:
744
+ - 2
745
+ dtype: float32
746
+ gripper_mode_state:
747
+ names:
748
+ - left_gripper_mode
749
+ - right_gripper_mode
750
+ shape:
751
+ - 2
752
+ dtype: int32
753
+ gripper_mode_action:
754
+ names:
755
+ - left_gripper_mode
756
+ - right_gripper_mode
757
+ shape:
758
+ - 2
759
+ dtype: int32
760
+ gripper_activity_state:
761
+ names:
762
+ - left_gripper_activity
763
+ - right_gripper_activity
764
+ shape:
765
+ - 2
766
+ dtype: int32
767
+ gripper_activity_action:
768
+ names:
769
+ - left_gripper_activity
770
+ - right_gripper_activity
771
+ shape:
772
+ - 2
773
+ dtype: int32
774
+ authors:
775
+ contributed_by:
776
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
777
+ dataset_description: This dataset uses an extended format based on LeRobot and is
778
+ fully compatible with LeRobot.
779
+ homepage: https://flagopen.github.io/RoboCOIN/
780
+ paper: https://arxiv.org/abs/2511.17441
781
+ repository: https://github.com/FlagOpen/RoboCOIN
782
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
783
+ us.
784
+ support_info: For technical support, please open an issue on our GitHub repository.
785
+ license_details: apache-2.0
786
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
787
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
788
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
789
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
790
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
791
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
792
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
793
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
794
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
795
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
796
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
797
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
798
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
799
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
800
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
801
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
802
+ additional_citations: 'If you use this dataset, please also consider citing:
803
+
804
+ LeRobot Framework: https://github.com/huggingface/lerobot
805
+
806
+ '
807
+ version_info: Initial Release
808
+ data_path: data/chunk-{id}/episode_{id}.parquet
809
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
810
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_storage_object_white_box.yaml ADDED
@@ -0,0 +1,814 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_storage_object_white_box
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: white_box
35
+ level1: storage_box
36
+ level2: white_box
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: banana
41
+ level1: fruits
42
+ level2: banana
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: bathing_in_flowers
47
+ level1: daily_necessities
48
+ level2: bathing_in_flowers
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: blue_cup
53
+ level1: cups
54
+ level2: blue_cup
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: blue_pot
59
+ level1: kitchen_supplies
60
+ level2: blue_pot
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: toast_slices
65
+ level1: bread
66
+ level2: toast_slices
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: brown_towel
71
+ level1: towels
72
+ level2: brown_towel
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: can
77
+ level1: snacks
78
+ level2: can
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: coke
83
+ level1: beverages
84
+ level2: coke
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: potato_chips
89
+ level1: snacks
90
+ level2: potato_chips
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: chocolate
95
+ level1: snacks
96
+ level2: chocolate
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: compass
101
+ level1: stationery
102
+ level2: compass
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: block_pillar
107
+ level1: toys
108
+ level2: building_blocks
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: egg_beater
113
+ level1: kitchen_supplies
114
+ level2: egg_beater
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: eraser
119
+ level1: stationery
120
+ level2: eraser
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: chewing_gum
125
+ level1: snacks
126
+ level2: chewing_gum
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: mentholatum_facial_cleanser
131
+ level1: daily_necessities
132
+ level2: mentholatum_facial_cleanser
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: green_lemon
137
+ level1: fruits
138
+ level2: green_lemon
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ - object_name: peach
143
+ level1: fruits
144
+ level2: peach
145
+ level3: null
146
+ level4: null
147
+ level5: null
148
+ - object_name: power_strip
149
+ level1: electrical_control_equipment
150
+ level2: power_strip
151
+ level3: null
152
+ level4: null
153
+ level5: null
154
+ - object_name: round_bread
155
+ level1: bread
156
+ level2: round_bread
157
+ level3: null
158
+ level4: null
159
+ level5: null
160
+ - object_name: mentholatum_facial_cleanser
161
+ level1: daily_necessities
162
+ level2: mentholatum_facial_cleanser
163
+ level3: null
164
+ level4: null
165
+ level5: null
166
+ - object_name: square_building_blocks
167
+ level1: building_blocks
168
+ level2: square_building_blocks
169
+ level3: null
170
+ level4: null
171
+ level5: null
172
+ - object_name: tape
173
+ level1: stationery
174
+ level2: tape
175
+ level3: null
176
+ level4: null
177
+ level5: null
178
+ - object_name: cake
179
+ level1: bread
180
+ level2: cake
181
+ level3: null
182
+ level4: null
183
+ level5: null
184
+ - object_name: duck
185
+ level1: doll
186
+ level2: duck
187
+ level3: null
188
+ level4: null
189
+ level5: null
190
+ - object_name: ambrosial_yogurt
191
+ level1: beverages
192
+ level2: ambrosial_yogurt
193
+ level3: null
194
+ level4: null
195
+ level5: null
196
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
197
+ the operation type information.
198
+ task_instruction:
199
+ - use a gripper to pick the target object and place on the white box.
200
+ sub_tasks:
201
+ - subtask: Place the tin on the white box with the left gripper
202
+ subtask_index: 0
203
+ - subtask: Grasp the blue pot with the left gripper
204
+ subtask_index: 1
205
+ - subtask: Place the square wooden block on the white box with the right gripper
206
+ subtask_index: 2
207
+ - subtask: Grasp the plugboard with the left gripper
208
+ subtask_index: 3
209
+ - subtask: Place the brown towel on the white box with the left gripper
210
+ subtask_index: 4
211
+ - subtask: Place the peach on the white box with the left gripper
212
+ subtask_index: 5
213
+ - subtask: Grasp the potato chips with the right gripper
214
+ subtask_index: 6
215
+ - subtask: Place the blackboard erasure on the white box with the right gripper
216
+ subtask_index: 7
217
+ - subtask: Grasp the banana with the left gripper
218
+ subtask_index: 8
219
+ - subtask: Place the round bread on the white box with the right gripper
220
+ subtask_index: 9
221
+ - subtask: Grasp the compasses with the right gripper
222
+ subtask_index: 10
223
+ - subtask: Grasp the duck toy with the left gripper
224
+ subtask_index: 11
225
+ - subtask: Place the bread slice on the white box with the right gripper
226
+ subtask_index: 12
227
+ - subtask: Place the blackboard erasure on the white box with the left gripper
228
+ subtask_index: 13
229
+ - subtask: Place the bread slice on the white box with the left gripper
230
+ subtask_index: 14
231
+ - subtask: Place the coke on the white box with the right gripper
232
+ subtask_index: 15
233
+ - subtask: Place the blue cup on the white box with the left gripper
234
+ subtask_index: 16
235
+ - subtask: Grasp the blue cup with the left gripper
236
+ subtask_index: 17
237
+ - subtask: Place the coke on the white box with the left gripper
238
+ subtask_index: 18
239
+ - subtask: Place the square wooden block on the white box with the left gripper
240
+ subtask_index: 19
241
+ - subtask: Place the blue cup on the white box with the right gripper
242
+ subtask_index: 20
243
+ - subtask: Place the duck toy on the white box with the left gripper
244
+ subtask_index: 21
245
+ - subtask: Grasp the back scratcher with the right gripper
246
+ subtask_index: 22
247
+ - subtask: Place the blue pot on the white box with the right gripper
248
+ subtask_index: 23
249
+ - subtask: Grasp the square chewing gum with the left gripper
250
+ subtask_index: 24
251
+ - subtask: Grasp the chocolate cake with the right gripper
252
+ subtask_index: 25
253
+ - subtask: Place the round wooden block on the white box with the right gripper
254
+ subtask_index: 26
255
+ - subtask: Place the square chewing gum on the white box with the right gripper
256
+ subtask_index: 27
257
+ - subtask: Grasp the shower sphere with the left gripper
258
+ subtask_index: 28
259
+ - subtask: Grasp the plugboard with the right gripper
260
+ subtask_index: 29
261
+ - subtask: Grasp the yogurt with the right gripper
262
+ subtask_index: 30
263
+ - subtask: Grasp the tin with the left gripper
264
+ subtask_index: 31
265
+ - subtask: Grasp the brown towel with the left gripper
266
+ subtask_index: 32
267
+ - subtask: Place the back scratcher into the basket with the right gripper
268
+ subtask_index: 33
269
+ - subtask: Grasp the hard facial cleanser with the left gripper
270
+ subtask_index: 34
271
+ - subtask: Grasp the chocolate with the right gripper
272
+ subtask_index: 35
273
+ - subtask: Place the banana on the white box with the right gripper
274
+ subtask_index: 36
275
+ - subtask: Grasp the brown towel with the right gripper
276
+ subtask_index: 37
277
+ - subtask: Place the shower sphere on the white box with the right gripper
278
+ subtask_index: 38
279
+ - subtask: Place the green lemon into the basket with the right gripper
280
+ subtask_index: 39
281
+ - subtask: Place the compasses on the white box with the right gripper
282
+ subtask_index: 40
283
+ - subtask: Place the banana on the white box with the left gripper
284
+ subtask_index: 41
285
+ - subtask: Grasp the peach with the left gripper
286
+ subtask_index: 42
287
+ - subtask: Place the round wooden block on the white box with the left gripper
288
+ subtask_index: 43
289
+ - subtask: Place the tin on the white box with the right gripper
290
+ subtask_index: 44
291
+ - subtask: Place the potato chips on the white box with the right gripper
292
+ subtask_index: 45
293
+ - subtask: Place the tape on the white box with the left gripper
294
+ subtask_index: 46
295
+ - subtask: Grasp the green lemon with the right gripper
296
+ subtask_index: 47
297
+ - subtask: Place the blue pot on the white box with the left gripper
298
+ subtask_index: 48
299
+ - subtask: Grasp the bread slice with the right gripper
300
+ subtask_index: 49
301
+ - subtask: Place the chocolate cake on the white box with the right gripper
302
+ subtask_index: 50
303
+ - subtask: Place the compasses on the white box with the left gripper
304
+ subtask_index: 51
305
+ - subtask: Grasp the potato chips with the left gripper
306
+ subtask_index: 52
307
+ - subtask: Place the soft facial cleanser on the white box with the right gripper
308
+ subtask_index: 53
309
+ - subtask: Grasp the duck toy with the right gripper
310
+ subtask_index: 54
311
+ - subtask: End
312
+ subtask_index: 55
313
+ - subtask: Place the hard facial cleanser on the white box with the left gripper
314
+ subtask_index: 56
315
+ - subtask: Grasp the blackboard erasure with the left gripper
316
+ subtask_index: 57
317
+ - subtask: Grasp the coke with the left gripper
318
+ subtask_index: 58
319
+ - subtask: Grasp the round wooden block with the left gripper
320
+ subtask_index: 59
321
+ - subtask: Place the square chewing gum on the white box with the left gripper
322
+ subtask_index: 60
323
+ - subtask: Place the tape on the white box with the right gripper
324
+ subtask_index: 61
325
+ - subtask: Place the shower sphere on the white box with the left gripper
326
+ subtask_index: 62
327
+ - subtask: Grasp the compasses with the left gripper
328
+ subtask_index: 63
329
+ - subtask: Place the brown towel on the white box with the right gripper
330
+ subtask_index: 64
331
+ - subtask: Grasp the blue pot with the right gripper
332
+ subtask_index: 65
333
+ - subtask: Grasp the round bread with the right gripper
334
+ subtask_index: 66
335
+ - subtask: Grasp the chocolate cake with the left gripper
336
+ subtask_index: 67
337
+ - subtask: Place the duck toy on the white box with the right gripper
338
+ subtask_index: 68
339
+ - subtask: Place the chocolate on the white box with the right gripper
340
+ subtask_index: 69
341
+ - subtask: Grasp the tin with the right gripper
342
+ subtask_index: 70
343
+ - subtask: Place the chocolate cake on the white box with the left gripper
344
+ subtask_index: 71
345
+ - subtask: Place the plugboard on the white box with the right gripper
346
+ subtask_index: 72
347
+ - subtask: Grasp the tape with the right gripper
348
+ subtask_index: 73
349
+ - subtask: Grasp the coke with the right gripper
350
+ subtask_index: 74
351
+ - subtask: Grasp the tape with the left gripper
352
+ subtask_index: 75
353
+ - subtask: Grasp the square chewing gum with the right gripper
354
+ subtask_index: 76
355
+ - subtask: Grasp the shower sphere with the right gripper
356
+ subtask_index: 77
357
+ - subtask: Grasp the bread slice with the left gripper
358
+ subtask_index: 78
359
+ - subtask: Place the potato chips on the white box with the left gripper
360
+ subtask_index: 79
361
+ - subtask: Grasp the blackboard erasure with the right gripper
362
+ subtask_index: 80
363
+ - subtask: Place the round bread on the white box with the left gripper
364
+ subtask_index: 81
365
+ - subtask: Grasp the round bread with the left gripper
366
+ subtask_index: 82
367
+ - subtask: Grasp the square wooden block with the left gripper
368
+ subtask_index: 83
369
+ - subtask: Grasp the blue cup with the right gripper
370
+ subtask_index: 84
371
+ - subtask: Grasp the soft facial cleanser with the right gripper
372
+ subtask_index: 85
373
+ - subtask: Place the yogurt on the white box with the right gripper
374
+ subtask_index: 86
375
+ - subtask: Grasp the square wooden block with the right gripper
376
+ subtask_index: 87
377
+ - subtask: Place the plugboard on the white box with the left gripper
378
+ subtask_index: 88
379
+ - subtask: Grasp the round wooden block with the right gripper
380
+ subtask_index: 89
381
+ - subtask: Grasp the banana with the right gripper
382
+ subtask_index: 90
383
+ - subtask: 'null'
384
+ subtask_index: 91
385
+ atomic_actions:
386
+ - grasp
387
+ - pick
388
+ - place
389
+ robot_name:
390
+ - Galaxea_R1_Lite
391
+ end_effector_type: two_finger_gripper
392
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
393
+ type information.
394
+ sensor_list:
395
+ - cam_head_left_rgb
396
+ - cam_head_right_rgb
397
+ - cam_left_wrist_rgb
398
+ - cam_right_wrist_rgb
399
+ came_info:
400
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
401
+ pix_fmt=yuv420p
402
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
403
+ pix_fmt=yuv420p
404
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
405
+ pix_fmt=yuv420p
406
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
407
+ pix_fmt=yuv420p
408
+ depth_enabled: false
409
+ coordinate_definition: right-hand-frame
410
+ joint_rotation_dim: radian
411
+ end_rotation_dim: end_rotation_dim
412
+ end_translation_dim: end_translation_dim
413
+ annotations:
414
+ - eef_acc_mag_annotation.jsonl
415
+ - eef_direction_annotation.jsonl
416
+ - eef_velocity_annotation.jsonl
417
+ - gripper_activity_annotation.jsonl
418
+ - gripper_mode_annotation.jsonl
419
+ - scene_annotations.jsonl
420
+ - subtask_annotations.jsonl
421
+ statistics:
422
+ total_episodes: 102
423
+ total_frames: 27154
424
+ fps: 30
425
+ total_tasks: 92
426
+ total_videos: 408
427
+ total_chunks: 1
428
+ chunks_size: 1000
429
+ state_dim: 14
430
+ action_dim: 14
431
+ camera_views: 4
432
+ dataset_size: 1.03 GB
433
+ frame_num: 27154
434
+ dataset_size: 1.03 GB
435
+ data_structure: 'Galaxea_R1_Lite_storage_object_white_box_qced_hardlink/
436
+
437
+ |-- annotations
438
+
439
+ | |-- eef_acc_mag_annotation.jsonl
440
+
441
+ | |-- eef_direction_annotation.jsonl
442
+
443
+ | |-- eef_velocity_annotation.jsonl
444
+
445
+ | |-- gripper_activity_annotation.jsonl
446
+
447
+ | |-- gripper_mode_annotation.jsonl
448
+
449
+ | |-- scene_annotations.jsonl
450
+
451
+ | `-- subtask_annotations.jsonl
452
+
453
+ |-- data
454
+
455
+ | `-- chunk-000
456
+
457
+ | |-- episode_000000.parquet
458
+
459
+ | |-- episode_000001.parquet
460
+
461
+ | |-- episode_000002.parquet
462
+
463
+ | |-- episode_000003.parquet
464
+
465
+ | |-- episode_000004.parquet
466
+
467
+ | |-- episode_000005.parquet
468
+
469
+ | |-- episode_000006.parquet
470
+
471
+ | |-- episode_000007.parquet
472
+
473
+ | |-- episode_000008.parquet
474
+
475
+ | |-- episode_000009.parquet
476
+
477
+ | |-- episode_000010.parquet
478
+
479
+ | `-- episode_000011.parquet
480
+
481
+ | `-- ... (90 more entries)
482
+
483
+ |-- meta
484
+
485
+ | |-- episodes.jsonl
486
+
487
+ | |-- episodes_stats.jsonl
488
+
489
+ | |-- info.json
490
+
491
+ | `-- tasks.jsonl
492
+
493
+ |-- videos
494
+
495
+ | `-- chunk-000
496
+
497
+ | |-- observation.images.cam_head_left_rgb
498
+
499
+ | |-- observation.images.cam_head_right_rgb
500
+
501
+ | |-- observation.images.cam_left_wrist_rgb
502
+
503
+ | `-- observation.images.cam_right_wrist_rgb
504
+
505
+ |-- info.yaml
506
+
507
+ `-- README.md'
508
+ splits:
509
+ train: 0:101
510
+ features:
511
+ observation.images.cam_head_left_rgb:
512
+ dtype: video
513
+ shape:
514
+ - 720
515
+ - 1280
516
+ - 3
517
+ names:
518
+ - height
519
+ - width
520
+ - channels
521
+ info:
522
+ video.height: 720
523
+ video.width: 1280
524
+ video.codec: av1
525
+ video.pix_fmt: yuv420p
526
+ video.is_depth_map: false
527
+ video.fps: 30
528
+ video.channels: 3
529
+ has_audio: false
530
+ observation.images.cam_head_right_rgb:
531
+ dtype: video
532
+ shape:
533
+ - 720
534
+ - 1280
535
+ - 3
536
+ names:
537
+ - height
538
+ - width
539
+ - channels
540
+ info:
541
+ video.height: 720
542
+ video.width: 1280
543
+ video.codec: av1
544
+ video.pix_fmt: yuv420p
545
+ video.is_depth_map: false
546
+ video.fps: 30
547
+ video.channels: 3
548
+ has_audio: false
549
+ observation.images.cam_left_wrist_rgb:
550
+ dtype: video
551
+ shape:
552
+ - 720
553
+ - 1280
554
+ - 3
555
+ names:
556
+ - height
557
+ - width
558
+ - channels
559
+ info:
560
+ video.height: 720
561
+ video.width: 1280
562
+ video.codec: av1
563
+ video.pix_fmt: yuv420p
564
+ video.is_depth_map: false
565
+ video.fps: 30
566
+ video.channels: 3
567
+ has_audio: false
568
+ observation.images.cam_right_wrist_rgb:
569
+ dtype: video
570
+ shape:
571
+ - 720
572
+ - 1280
573
+ - 3
574
+ names:
575
+ - height
576
+ - width
577
+ - channels
578
+ info:
579
+ video.height: 720
580
+ video.width: 1280
581
+ video.codec: av1
582
+ video.pix_fmt: yuv420p
583
+ video.is_depth_map: false
584
+ video.fps: 30
585
+ video.channels: 3
586
+ has_audio: false
587
+ observation.state:
588
+ dtype: float32
589
+ shape:
590
+ - 14
591
+ names:
592
+ - left_arm_joint_1_rad
593
+ - left_arm_joint_2_rad
594
+ - left_arm_joint_3_rad
595
+ - left_arm_joint_4_rad
596
+ - left_arm_joint_5_rad
597
+ - left_arm_joint_6_rad
598
+ - right_arm_joint_1_rad
599
+ - right_arm_joint_2_rad
600
+ - right_arm_joint_3_rad
601
+ - right_arm_joint_4_rad
602
+ - right_arm_joint_5_rad
603
+ - right_arm_joint_6_rad
604
+ - left_gripper_open
605
+ - right_gripper_open
606
+ action:
607
+ dtype: float32
608
+ shape:
609
+ - 14
610
+ names:
611
+ - left_arm_joint_1_rad
612
+ - left_arm_joint_2_rad
613
+ - left_arm_joint_3_rad
614
+ - left_arm_joint_4_rad
615
+ - left_arm_joint_5_rad
616
+ - left_arm_joint_6_rad
617
+ - right_arm_joint_1_rad
618
+ - right_arm_joint_2_rad
619
+ - right_arm_joint_3_rad
620
+ - right_arm_joint_4_rad
621
+ - right_arm_joint_5_rad
622
+ - right_arm_joint_6_rad
623
+ - left_gripper_open
624
+ - right_gripper_open
625
+ timestamp:
626
+ dtype: float32
627
+ shape:
628
+ - 1
629
+ names: null
630
+ frame_index:
631
+ dtype: int64
632
+ shape:
633
+ - 1
634
+ names: null
635
+ episode_index:
636
+ dtype: int64
637
+ shape:
638
+ - 1
639
+ names: null
640
+ index:
641
+ dtype: int64
642
+ shape:
643
+ - 1
644
+ names: null
645
+ task_index:
646
+ dtype: int64
647
+ shape:
648
+ - 1
649
+ names: null
650
+ subtask_annotation:
651
+ names: null
652
+ shape:
653
+ - 5
654
+ dtype: int32
655
+ scene_annotation:
656
+ names: null
657
+ shape:
658
+ - 1
659
+ dtype: int32
660
+ eef_sim_pose_state:
661
+ names:
662
+ - left_eef_pos_x
663
+ - left_eef_pos_y
664
+ - left_eef_pos_z
665
+ - left_eef_rot_x
666
+ - left_eef_rot_y
667
+ - left_eef_rot_z
668
+ - right_eef_pos_x
669
+ - right_eef_pos_y
670
+ - right_eef_pos_z
671
+ - right_eef_rot_x
672
+ - right_eef_rot_y
673
+ - right_eef_rot_z
674
+ shape:
675
+ - 12
676
+ dtype: float32
677
+ eef_sim_pose_action:
678
+ names:
679
+ - left_eef_pos_x
680
+ - left_eef_pos_y
681
+ - left_eef_pos_z
682
+ - left_eef_rot_x
683
+ - left_eef_rot_y
684
+ - left_eef_rot_z
685
+ - right_eef_pos_x
686
+ - right_eef_pos_y
687
+ - right_eef_pos_z
688
+ - right_eef_rot_x
689
+ - right_eef_rot_y
690
+ - right_eef_rot_z
691
+ shape:
692
+ - 12
693
+ dtype: float32
694
+ eef_direction_state:
695
+ names:
696
+ - left_eef_direction
697
+ - right_eef_direction
698
+ shape:
699
+ - 2
700
+ dtype: int32
701
+ eef_direction_action:
702
+ names:
703
+ - left_eef_direction
704
+ - right_eef_direction
705
+ shape:
706
+ - 2
707
+ dtype: int32
708
+ eef_velocity_state:
709
+ names:
710
+ - left_eef_velocity
711
+ - right_eef_velocity
712
+ shape:
713
+ - 2
714
+ dtype: int32
715
+ eef_velocity_action:
716
+ names:
717
+ - left_eef_velocity
718
+ - right_eef_velocity
719
+ shape:
720
+ - 2
721
+ dtype: int32
722
+ eef_acc_mag_state:
723
+ names:
724
+ - left_eef_acc_mag
725
+ - right_eef_acc_mag
726
+ shape:
727
+ - 2
728
+ dtype: int32
729
+ eef_acc_mag_action:
730
+ names:
731
+ - left_eef_acc_mag
732
+ - right_eef_acc_mag
733
+ shape:
734
+ - 2
735
+ dtype: int32
736
+ gripper_open_scale_state:
737
+ names:
738
+ - left_gripper_open_scale
739
+ - right_gripper_open_scale
740
+ shape:
741
+ - 2
742
+ dtype: float32
743
+ gripper_open_scale_action:
744
+ names:
745
+ - left_gripper_open_scale
746
+ - right_gripper_open_scale
747
+ shape:
748
+ - 2
749
+ dtype: float32
750
+ gripper_mode_state:
751
+ names:
752
+ - left_gripper_mode
753
+ - right_gripper_mode
754
+ shape:
755
+ - 2
756
+ dtype: int32
757
+ gripper_mode_action:
758
+ names:
759
+ - left_gripper_mode
760
+ - right_gripper_mode
761
+ shape:
762
+ - 2
763
+ dtype: int32
764
+ gripper_activity_state:
765
+ names:
766
+ - left_gripper_activity
767
+ - right_gripper_activity
768
+ shape:
769
+ - 2
770
+ dtype: int32
771
+ gripper_activity_action:
772
+ names:
773
+ - left_gripper_activity
774
+ - right_gripper_activity
775
+ shape:
776
+ - 2
777
+ dtype: int32
778
+ authors:
779
+ contributed_by:
780
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
781
+ dataset_description: This dataset uses an extended format based on LeRobot and is
782
+ fully compatible with LeRobot.
783
+ homepage: https://flagopen.github.io/RoboCOIN/
784
+ paper: https://arxiv.org/abs/2511.17441
785
+ repository: https://github.com/FlagOpen/RoboCOIN
786
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
787
+ us.
788
+ support_info: For technical support, please open an issue on our GitHub repository.
789
+ license_details: apache-2.0
790
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
791
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
792
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
793
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
794
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
795
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
796
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
797
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
798
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
799
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
800
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
801
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
802
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
803
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
804
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
805
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
806
+ additional_citations: 'If you use this dataset, please also consider citing:
807
+
808
+ LeRobot Framework: https://github.com/huggingface/lerobot
809
+
810
+ '
811
+ version_info: Initial Release
812
+ data_path: data/chunk-{id}/episode_{id}.parquet
813
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
814
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Realman_RMC-AIDA-L_fold_towel.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: Realman_RMC-AIDA-L_fold_towel
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: furniture
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: towel
41
+ level1: daily_necessities
42
+ level2: towel
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
+ - with both grippers position the towel correctly, the right gripper grasp the towel
50
+ and fold it to the left.
51
+ sub_tasks:
52
+ - subtask: Grasp the towel with the left gripper
53
+ subtask_index: 0
54
+ - subtask: Move the towel to the center of the table with the right gripper
55
+ subtask_index: 1
56
+ - subtask: End
57
+ subtask_index: 2
58
+ - subtask: Grasp the towel with the right gripper
59
+ subtask_index: 3
60
+ - subtask: Fold the towel with the left gripper
61
+ subtask_index: 4
62
+ - subtask: Move the towel to the center of the table with both grippers
63
+ subtask_index: 5
64
+ - subtask: Fold the towel with the right gripper
65
+ subtask_index: 6
66
+ - subtask: 'null'
67
+ subtask_index: 7
68
+ atomic_actions:
69
+ - grasp
70
+ - fold
71
+ robot_name:
72
+ - Realman_RMC-AIDA-L
73
+ end_effector_type: two_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
+ came_info:
81
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
82
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
83
+ pix_fmt=yuv420p
84
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
85
+ pix_fmt=yuv420p
86
+ depth_enabled: false
87
+ coordinate_definition: right-hand-frame
88
+ joint_rotation_dim: radian
89
+ end_rotation_dim: radian
90
+ end_translation_dim: meter
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: 120
101
+ total_frames: 69438
102
+ fps: 30
103
+ total_tasks: 8
104
+ total_videos: 360
105
+ total_chunks: 1
106
+ chunks_size: 1000
107
+ state_dim: 28
108
+ action_dim: 28
109
+ camera_views: 3
110
+ dataset_size: 1.08 GB
111
+ frame_num: 69438
112
+ dataset_size: 1.08 GB
113
+ data_structure: 'Realman_RMC-AIDA-L_fold_towel_qced_hardlink/
114
+
115
+ |-- annotations
116
+
117
+ | |-- eef_acc_mag_annotation.jsonl
118
+
119
+ | |-- eef_direction_annotation.jsonl
120
+
121
+ | |-- eef_velocity_annotation.jsonl
122
+
123
+ | |-- gripper_activity_annotation.jsonl
124
+
125
+ | |-- gripper_mode_annotation.jsonl
126
+
127
+ | |-- scene_annotations.jsonl
128
+
129
+ | `-- subtask_annotations.jsonl
130
+
131
+ |-- data
132
+
133
+ | `-- chunk-000
134
+
135
+ | |-- episode_000000.parquet
136
+
137
+ | |-- episode_000001.parquet
138
+
139
+ | |-- episode_000002.parquet
140
+
141
+ | |-- episode_000003.parquet
142
+
143
+ | |-- episode_000004.parquet
144
+
145
+ | |-- episode_000005.parquet
146
+
147
+ | |-- episode_000006.parquet
148
+
149
+ | |-- episode_000007.parquet
150
+
151
+ | |-- episode_000008.parquet
152
+
153
+ | |-- episode_000009.parquet
154
+
155
+ | |-- episode_000010.parquet
156
+
157
+ | `-- episode_000011.parquet
158
+
159
+ | `-- ... (108 more entries)
160
+
161
+ |-- meta
162
+
163
+ | |-- episodes.jsonl
164
+
165
+ | |-- episodes_stats.jsonl
166
+
167
+ | |-- info.json
168
+
169
+ | `-- tasks.jsonl
170
+
171
+ |-- videos
172
+
173
+ | `-- chunk-000
174
+
175
+ | |-- observation.images.cam_head_rgb
176
+
177
+ | |-- observation.images.cam_left_wrist_rgb
178
+
179
+ | `-- observation.images.cam_right_wrist_rgb
180
+
181
+ |-- info.yaml
182
+
183
+ `-- README.md'
184
+ splits:
185
+ train: 0:119
186
+ features:
187
+ observation.images.cam_head_rgb:
188
+ dtype: video
189
+ shape:
190
+ - 480
191
+ - 640
192
+ - 3
193
+ names:
194
+ - height
195
+ - width
196
+ - channels
197
+ info:
198
+ video.height: 480
199
+ video.width: 640
200
+ video.codec: av1
201
+ video.pix_fmt: yuv420p
202
+ video.is_depth_map: false
203
+ video.fps: 30
204
+ video.channels: 3
205
+ has_audio: false
206
+ observation.images.cam_left_wrist_rgb:
207
+ dtype: video
208
+ shape:
209
+ - 480
210
+ - 640
211
+ - 3
212
+ names:
213
+ - height
214
+ - width
215
+ - channels
216
+ info:
217
+ video.height: 480
218
+ video.width: 640
219
+ video.codec: av1
220
+ video.pix_fmt: yuv420p
221
+ video.is_depth_map: false
222
+ video.fps: 30
223
+ video.channels: 3
224
+ has_audio: false
225
+ observation.images.cam_right_wrist_rgb:
226
+ dtype: video
227
+ shape:
228
+ - 480
229
+ - 640
230
+ - 3
231
+ names:
232
+ - height
233
+ - width
234
+ - channels
235
+ info:
236
+ video.height: 480
237
+ video.width: 640
238
+ video.codec: av1
239
+ video.pix_fmt: yuv420p
240
+ video.is_depth_map: false
241
+ video.fps: 30
242
+ video.channels: 3
243
+ has_audio: false
244
+ observation.state:
245
+ dtype: float32
246
+ shape:
247
+ - 28
248
+ names:
249
+ - right_arm_joint_1_rad
250
+ - right_arm_joint_2_rad
251
+ - right_arm_joint_3_rad
252
+ - right_arm_joint_4_rad
253
+ - right_arm_joint_5_rad
254
+ - right_arm_joint_6_rad
255
+ - right_arm_joint_7_rad
256
+ - right_gripper_open
257
+ - right_eef_pos_x_m
258
+ - right_eef_pos_y_m
259
+ - right_eef_pos_z_m
260
+ - right_eef_rot_euler_x_rad
261
+ - right_eef_rot_euler_y_rad
262
+ - right_eef_rot_euler_z_rad
263
+ - left_arm_joint_1_rad
264
+ - left_arm_joint_2_rad
265
+ - left_arm_joint_3_rad
266
+ - left_arm_joint_4_rad
267
+ - left_arm_joint_5_rad
268
+ - left_arm_joint_6_rad
269
+ - left_arm_joint_7_rad
270
+ - left_gripper_open
271
+ - left_eef_pos_x_m
272
+ - left_eef_pos_y_m
273
+ - left_eef_pos_z_m
274
+ - left_eef_rot_euler_x_rad
275
+ - left_eef_rot_euler_y_rad
276
+ - left_eef_rot_euler_z_rad
277
+ action:
278
+ dtype: float32
279
+ shape:
280
+ - 28
281
+ names:
282
+ - right_arm_joint_1_rad
283
+ - right_arm_joint_2_rad
284
+ - right_arm_joint_3_rad
285
+ - right_arm_joint_4_rad
286
+ - right_arm_joint_5_rad
287
+ - right_arm_joint_6_rad
288
+ - right_arm_joint_7_rad
289
+ - right_gripper_open
290
+ - right_eef_pos_x_m
291
+ - right_eef_pos_y_m
292
+ - right_eef_pos_z_m
293
+ - right_eef_rot_euler_x_rad
294
+ - right_eef_rot_euler_y_rad
295
+ - right_eef_rot_euler_z_rad
296
+ - left_arm_joint_1_rad
297
+ - left_arm_joint_2_rad
298
+ - left_arm_joint_3_rad
299
+ - left_arm_joint_4_rad
300
+ - left_arm_joint_5_rad
301
+ - left_arm_joint_6_rad
302
+ - left_arm_joint_7_rad
303
+ - left_gripper_open
304
+ - left_eef_pos_x_m
305
+ - left_eef_pos_y_m
306
+ - left_eef_pos_z_m
307
+ - left_eef_rot_euler_x_rad
308
+ - left_eef_rot_euler_y_rad
309
+ - left_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_open_scale_state:
422
+ names:
423
+ - left_gripper_open_scale
424
+ - right_gripper_open_scale
425
+ shape:
426
+ - 2
427
+ dtype: float32
428
+ gripper_open_scale_action:
429
+ names:
430
+ - left_gripper_open_scale
431
+ - right_gripper_open_scale
432
+ shape:
433
+ - 2
434
+ dtype: float32
435
+ gripper_mode_state:
436
+ names:
437
+ - left_gripper_mode
438
+ - right_gripper_mode
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ gripper_mode_action:
443
+ names:
444
+ - left_gripper_mode
445
+ - right_gripper_mode
446
+ shape:
447
+ - 2
448
+ dtype: int32
449
+ gripper_activity_state:
450
+ names:
451
+ - left_gripper_activity
452
+ - right_gripper_activity
453
+ shape:
454
+ - 2
455
+ dtype: int32
456
+ gripper_activity_action:
457
+ names:
458
+ - left_gripper_activity
459
+ - right_gripper_activity
460
+ shape:
461
+ - 2
462
+ dtype: int32
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/Realman_RMC-AIDA-L_storage_block_basket.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_block_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: 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: building_block
47
+ level1: toy
48
+ level2: building_block
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 blocks
56
+ on the table and place it into the basket.
57
+ sub_tasks:
58
+ - subtask: End
59
+ subtask_index: 0
60
+ - subtask: Grasp the blue cube with the right gripper
61
+ subtask_index: 1
62
+ - subtask: Place the blue cube into the basket with the right gripper
63
+ subtask_index: 2
64
+ - subtask: Grasp the basket with the left 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: 50
102
+ total_frames: 19083
103
+ fps: 30
104
+ total_tasks: 5
105
+ total_videos: 150
106
+ total_chunks: 1
107
+ chunks_size: 1000
108
+ state_dim: 28
109
+ action_dim: 28
110
+ camera_views: 3
111
+ dataset_size: 201.40 MB
112
+ frame_num: 19083
113
+ dataset_size: 201.40 MB
114
+ data_structure: 'Realman_RMC-AIDA-L_storage_block_basket_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
+ | `-- ... (38 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: 0:49
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/agilex_cobot_magic_pass_object_right_to_left_red_tablecloth.yaml ADDED
@@ -0,0 +1,667 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_pass_object_right_to_left_red_tablecloth
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: ambrosial_yogurt
41
+ level1: food
42
+ level2: ambrosial_yogurt
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: banana
47
+ level1: food
48
+ level2: banana
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: long_bread
53
+ level1: food
54
+ level2: long_bread
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: milk
59
+ level1: food
60
+ level2: milk
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: yogurt
65
+ level1: food
66
+ level2: yogurt
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: grape
71
+ level1: food
72
+ level2: grape
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: ham_sausage
77
+ level1: food
78
+ level2: ham_sausage
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: eggplant
83
+ level1: food
84
+ level2: eggplant
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: chewing_gum
89
+ level1: food
90
+ level2: chewing_gum
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: eyeglass_case
95
+ level1: laboratory_supplies
96
+ level2: eyeglass_case
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: rubik's_cube
101
+ level1: toys
102
+ level2: rubik's_cube
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: purple_trash_bag
107
+ level1: trash
108
+ level2: purple_trash_bag
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: cleanser
113
+ level1: daily_necessities
114
+ level2: cleanser
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: bathing_in_flowers
119
+ level1: daily_necessities
120
+ level2: bathing_in_flowers
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: whiteboard_eraser
125
+ level1: stationery
126
+ level2: whiteboard_eraser
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: candle
131
+ level1: daily_necessities
132
+ level2: candle
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: red_table_cloths
137
+ level1: laboratory_supplies
138
+ level2: red_table_cloths
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
143
+ the operation type information.
144
+ task_instruction:
145
+ - use the right gripper to pick up the item and transfer it from the right gripper
146
+ to the left gripper.
147
+ sub_tasks:
148
+ - subtask: The left gripper places milk on the left side of the table
149
+ subtask_index: 0
150
+ - subtask: The left gripper places anmuxi on the left side of the table
151
+ subtask_index: 1
152
+ - subtask: The left gripper places Rubik's Cube on the left side of the table
153
+ subtask_index: 2
154
+ - subtask: Pass the blue blackboard erasure to the left gripper
155
+ subtask_index: 3
156
+ - subtask: End
157
+ subtask_index: 4
158
+ - subtask: Pass the eggplant to the left gripper
159
+ subtask_index: 5
160
+ - subtask: Pass the Rubik's Cube to the left gripper
161
+ subtask_index: 6
162
+ - subtask: The left gripper places yogurt on the left side of the table
163
+ subtask_index: 7
164
+ - subtask: Pass the square chewing gum to the left gripper
165
+ subtask_index: 8
166
+ - subtask: Use the right gripper to grab the grape on the right side of the table
167
+ subtask_index: 9
168
+ - subtask: Pass the yogurt to the left gripper
169
+ subtask_index: 10
170
+ - subtask: The left gripper places eggplant on the left side of the table
171
+ subtask_index: 11
172
+ - subtask: The left gripper places grape on the left side of the table
173
+ subtask_index: 12
174
+ - subtask: Use the right gripper to grab the milk on the right side of the table
175
+ subtask_index: 13
176
+ - subtask: Pass the milk to the left gripper
177
+ subtask_index: 14
178
+ - subtask: Use the right gripper to grab the eggplant on the right side of the table
179
+ subtask_index: 15
180
+ - subtask: The left gripper places xx on the left side of the table
181
+ subtask_index: 16
182
+ - subtask: Pass the shower sphereto the left gripper
183
+ subtask_index: 17
184
+ - subtask: Use the right gripper to grab the shower sphere on the right side of the
185
+ table
186
+ subtask_index: 18
187
+ - subtask: Use the right gripper to grab the Anmuxi on the right side of the table.
188
+ subtask_index: 19
189
+ - subtask: Use the right gripper to grab the xx on the right side of the table
190
+ subtask_index: 20
191
+ - subtask: The left gripper places shower sphere on the left side of the table
192
+ subtask_index: 21
193
+ - subtask: Use the right gripper to grab the blue blackboard erasure on the right
194
+ side of the table
195
+ subtask_index: 22
196
+ - subtask: Use the right gripper to grab the plush banana on the right side of the
197
+ table
198
+ subtask_index: 23
199
+ - subtask: Pass the plush banana to the left gripper
200
+ subtask_index: 24
201
+ - subtask: Pass the shower sphere to the left gripper
202
+ subtask_index: 25
203
+ - subtask: Pass the to the yogurt left gripper
204
+ subtask_index: 26
205
+ - subtask: The left gripper places blue blackboard erasure on the left side of the
206
+ table
207
+ subtask_index: 27
208
+ - subtask: The left gripper places plush banana on the left side of the table
209
+ subtask_index: 28
210
+ - subtask: Use the right gripper to grab the square chewing gum on the right side
211
+ of the table
212
+ subtask_index: 29
213
+ - subtask: The left gripper places square chewing gum on the left side of the table
214
+ subtask_index: 30
215
+ - subtask: The left gripper places eyeglass case on the left side of the table
216
+ subtask_index: 31
217
+ - subtask: Pass the xx to the left gripper
218
+ subtask_index: 32
219
+ - subtask: Pass the eyeglass case to the left gripper
220
+ subtask_index: 33
221
+ - subtask: Use the right gripper to grab the yogurt on the right side of the table
222
+ subtask_index: 34
223
+ - subtask: Use the right gripper to grab the eyeglass case on the right side of the
224
+ table
225
+ subtask_index: 35
226
+ - subtask: Pass the yogurt to the left gripper
227
+ subtask_index: 36
228
+ - subtask: Use the right gripper to grab the Rubik's Cube on the right side of the
229
+ table
230
+ subtask_index: 37
231
+ - subtask: Pass the anmuxi to the left gripper
232
+ subtask_index: 38
233
+ - subtask: Pass the grape to the left gripper
234
+ subtask_index: 39
235
+ - subtask: 'null'
236
+ subtask_index: 40
237
+ atomic_actions:
238
+ - grasp
239
+ - lift
240
+ - lower
241
+ - handover
242
+ - takeover
243
+ robot_name:
244
+ - agilex_cobot_magic
245
+ end_effector_type: two_finger_gripper
246
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
247
+ type information.
248
+ sensor_list:
249
+ - cam_head_rgb
250
+ - cam_left_wrist_rgb
251
+ - cam_right_wrist_rgb
252
+ came_info:
253
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
254
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
255
+ pix_fmt=yuv420p
256
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
257
+ pix_fmt=yuv420p
258
+ depth_enabled: false
259
+ coordinate_definition: right-hand-frame
260
+ joint_rotation_dim: radian
261
+ end_rotation_dim: radian
262
+ end_translation_dim: meter
263
+ annotations:
264
+ - eef_acc_mag_annotation.jsonl
265
+ - eef_direction_annotation.jsonl
266
+ - eef_velocity_annotation.jsonl
267
+ - gripper_activity_annotation.jsonl
268
+ - gripper_mode_annotation.jsonl
269
+ - scene_annotations.jsonl
270
+ - subtask_annotations.jsonl
271
+ statistics:
272
+ total_episodes: 99
273
+ total_frames: 58861
274
+ fps: 30
275
+ total_tasks: 41
276
+ total_videos: 297
277
+ total_chunks: 1
278
+ chunks_size: 1000
279
+ state_dim: 26
280
+ action_dim: 26
281
+ camera_views: 3
282
+ dataset_size: 1.43 GB
283
+ frame_num: 58861
284
+ dataset_size: 1.43 GB
285
+ data_structure: 'Agilex_Cobot_Magic_pass_object_right_to_left_red_tablecloth_qced_hardlink/
286
+
287
+ |-- annotations
288
+
289
+ | |-- eef_acc_mag_annotation.jsonl
290
+
291
+ | |-- eef_direction_annotation.jsonl
292
+
293
+ | |-- eef_velocity_annotation.jsonl
294
+
295
+ | |-- gripper_activity_annotation.jsonl
296
+
297
+ | |-- gripper_mode_annotation.jsonl
298
+
299
+ | |-- scene_annotations.jsonl
300
+
301
+ | `-- subtask_annotations.jsonl
302
+
303
+ |-- data
304
+
305
+ | `-- chunk-000
306
+
307
+ | |-- episode_000000.parquet
308
+
309
+ | |-- episode_000001.parquet
310
+
311
+ | |-- episode_000002.parquet
312
+
313
+ | |-- episode_000003.parquet
314
+
315
+ | |-- episode_000004.parquet
316
+
317
+ | |-- episode_000005.parquet
318
+
319
+ | |-- episode_000006.parquet
320
+
321
+ | |-- episode_000007.parquet
322
+
323
+ | |-- episode_000008.parquet
324
+
325
+ | |-- episode_000009.parquet
326
+
327
+ | |-- episode_000010.parquet
328
+
329
+ | `-- episode_000011.parquet
330
+
331
+ | `-- ... (87 more entries)
332
+
333
+ |-- meta
334
+
335
+ | |-- episodes.jsonl
336
+
337
+ | |-- episodes_stats.jsonl
338
+
339
+ | |-- info.json
340
+
341
+ | `-- tasks.jsonl
342
+
343
+ |-- videos
344
+
345
+ | `-- chunk-000
346
+
347
+ | |-- observation.images.cam_head_rgb
348
+
349
+ | |-- observation.images.cam_left_wrist_rgb
350
+
351
+ | `-- observation.images.cam_right_wrist_rgb
352
+
353
+ |-- info.yaml
354
+
355
+ `-- README.md'
356
+ splits:
357
+ train: 0:98
358
+ features:
359
+ observation.images.cam_head_rgb:
360
+ dtype: video
361
+ shape:
362
+ - 480
363
+ - 640
364
+ - 3
365
+ names:
366
+ - height
367
+ - width
368
+ - channels
369
+ info:
370
+ video.height: 480
371
+ video.width: 640
372
+ video.codec: av1
373
+ video.pix_fmt: yuv420p
374
+ video.is_depth_map: false
375
+ video.fps: 30
376
+ video.channels: 3
377
+ has_audio: false
378
+ observation.images.cam_left_wrist_rgb:
379
+ dtype: video
380
+ shape:
381
+ - 480
382
+ - 640
383
+ - 3
384
+ names:
385
+ - height
386
+ - width
387
+ - channels
388
+ info:
389
+ video.height: 480
390
+ video.width: 640
391
+ video.codec: av1
392
+ video.pix_fmt: yuv420p
393
+ video.is_depth_map: false
394
+ video.fps: 30
395
+ video.channels: 3
396
+ has_audio: false
397
+ observation.images.cam_right_wrist_rgb:
398
+ dtype: video
399
+ shape:
400
+ - 480
401
+ - 640
402
+ - 3
403
+ names:
404
+ - height
405
+ - width
406
+ - channels
407
+ info:
408
+ video.height: 480
409
+ video.width: 640
410
+ video.codec: av1
411
+ video.pix_fmt: yuv420p
412
+ video.is_depth_map: false
413
+ video.fps: 30
414
+ video.channels: 3
415
+ has_audio: false
416
+ observation.state:
417
+ dtype: float32
418
+ shape:
419
+ - 26
420
+ names:
421
+ - left_arm_joint_1_rad
422
+ - left_arm_joint_2_rad
423
+ - left_arm_joint_3_rad
424
+ - left_arm_joint_4_rad
425
+ - left_arm_joint_5_rad
426
+ - left_arm_joint_6_rad
427
+ - left_gripper_open
428
+ - left_eef_pos_x_m
429
+ - left_eef_pos_y_m
430
+ - left_eef_pos_z_m
431
+ - left_eef_rot_euler_x_rad
432
+ - left_eef_rot_euler_y_rad
433
+ - left_eef_rot_euler_z_rad
434
+ - right_arm_joint_1_rad
435
+ - right_arm_joint_2_rad
436
+ - right_arm_joint_3_rad
437
+ - right_arm_joint_4_rad
438
+ - right_arm_joint_5_rad
439
+ - right_arm_joint_6_rad
440
+ - right_gripper_open
441
+ - right_eef_pos_x_m
442
+ - right_eef_pos_y_m
443
+ - right_eef_pos_z_m
444
+ - right_eef_rot_euler_x_rad
445
+ - right_eef_rot_euler_y_rad
446
+ - right_eef_rot_euler_z_rad
447
+ action:
448
+ dtype: float32
449
+ shape:
450
+ - 26
451
+ names:
452
+ - left_arm_joint_1_rad
453
+ - left_arm_joint_2_rad
454
+ - left_arm_joint_3_rad
455
+ - left_arm_joint_4_rad
456
+ - left_arm_joint_5_rad
457
+ - left_arm_joint_6_rad
458
+ - left_gripper_open
459
+ - left_eef_pos_x_m
460
+ - left_eef_pos_y_m
461
+ - left_eef_pos_z_m
462
+ - left_eef_rot_euler_x_rad
463
+ - left_eef_rot_euler_y_rad
464
+ - left_eef_rot_euler_z_rad
465
+ - right_arm_joint_1_rad
466
+ - right_arm_joint_2_rad
467
+ - right_arm_joint_3_rad
468
+ - right_arm_joint_4_rad
469
+ - right_arm_joint_5_rad
470
+ - right_arm_joint_6_rad
471
+ - right_gripper_open
472
+ - right_eef_pos_x_m
473
+ - right_eef_pos_y_m
474
+ - right_eef_pos_z_m
475
+ - right_eef_rot_euler_x_rad
476
+ - right_eef_rot_euler_y_rad
477
+ - right_eef_rot_euler_z_rad
478
+ timestamp:
479
+ dtype: float32
480
+ shape:
481
+ - 1
482
+ names: null
483
+ frame_index:
484
+ dtype: int64
485
+ shape:
486
+ - 1
487
+ names: null
488
+ episode_index:
489
+ dtype: int64
490
+ shape:
491
+ - 1
492
+ names: null
493
+ index:
494
+ dtype: int64
495
+ shape:
496
+ - 1
497
+ names: null
498
+ task_index:
499
+ dtype: int64
500
+ shape:
501
+ - 1
502
+ names: null
503
+ subtask_annotation:
504
+ names: null
505
+ dtype: int32
506
+ shape:
507
+ - 5
508
+ scene_annotation:
509
+ names: null
510
+ dtype: int32
511
+ shape:
512
+ - 1
513
+ eef_sim_pose_state:
514
+ names:
515
+ - left_eef_pos_x
516
+ - left_eef_pos_y
517
+ - left_eef_pos_z
518
+ - left_eef_rot_x
519
+ - left_eef_rot_y
520
+ - left_eef_rot_z
521
+ - right_eef_pos_x
522
+ - right_eef_pos_y
523
+ - right_eef_pos_z
524
+ - right_eef_rot_x
525
+ - right_eef_rot_y
526
+ - right_eef_rot_z
527
+ dtype: float32
528
+ shape:
529
+ - 12
530
+ eef_sim_pose_action:
531
+ names:
532
+ - left_eef_pos_x
533
+ - left_eef_pos_y
534
+ - left_eef_pos_z
535
+ - left_eef_rot_x
536
+ - left_eef_rot_y
537
+ - left_eef_rot_z
538
+ - right_eef_pos_x
539
+ - right_eef_pos_y
540
+ - right_eef_pos_z
541
+ - right_eef_rot_x
542
+ - right_eef_rot_y
543
+ - right_eef_rot_z
544
+ dtype: float32
545
+ shape:
546
+ - 12
547
+ eef_direction_state:
548
+ names:
549
+ - left_eef_direction
550
+ - right_eef_direction
551
+ dtype: int32
552
+ shape:
553
+ - 2
554
+ eef_direction_action:
555
+ names:
556
+ - left_eef_direction
557
+ - right_eef_direction
558
+ dtype: int32
559
+ shape:
560
+ - 2
561
+ eef_velocity_state:
562
+ names:
563
+ - left_eef_velocity
564
+ - right_eef_velocity
565
+ dtype: int32
566
+ shape:
567
+ - 2
568
+ eef_velocity_action:
569
+ names:
570
+ - left_eef_velocity
571
+ - right_eef_velocity
572
+ dtype: int32
573
+ shape:
574
+ - 2
575
+ eef_acc_mag_state:
576
+ names:
577
+ - left_eef_acc_mag
578
+ - right_eef_acc_mag
579
+ dtype: int32
580
+ shape:
581
+ - 2
582
+ eef_acc_mag_action:
583
+ names:
584
+ - left_eef_acc_mag
585
+ - right_eef_acc_mag
586
+ dtype: int32
587
+ shape:
588
+ - 2
589
+ gripper_mode_state:
590
+ names:
591
+ - left_gripper_mode
592
+ - right_gripper_mode
593
+ dtype: int32
594
+ shape:
595
+ - 2
596
+ gripper_mode_action:
597
+ names:
598
+ - left_gripper_mode
599
+ - right_gripper_mode
600
+ dtype: int32
601
+ shape:
602
+ - 2
603
+ gripper_activity_state:
604
+ names:
605
+ - left_gripper_activity
606
+ - right_gripper_activity
607
+ dtype: int32
608
+ shape:
609
+ - 2
610
+ gripper_activity_action:
611
+ names:
612
+ - left_gripper_activity
613
+ - right_gripper_activity
614
+ dtype: int32
615
+ shape:
616
+ - 2
617
+ gripper_open_scale_state:
618
+ names:
619
+ - left_gripper_open_scale
620
+ - right_gripper_open_scale
621
+ dtype: float32
622
+ shape:
623
+ - 2
624
+ gripper_open_scale_action:
625
+ names:
626
+ - left_gripper_open_scale
627
+ - right_gripper_open_scale
628
+ dtype: float32
629
+ shape:
630
+ - 2
631
+ authors:
632
+ contributed_by:
633
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
634
+ dataset_description: This dataset uses an extended format based on LeRobot and is
635
+ fully compatible with LeRobot.
636
+ homepage: https://flagopen.github.io/RoboCOIN/
637
+ paper: https://arxiv.org/abs/2511.17441
638
+ repository: https://github.com/FlagOpen/RoboCOIN
639
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
640
+ us.
641
+ support_info: For technical support, please open an issue on our GitHub repository.
642
+ license_details: apache-2.0
643
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
644
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
645
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
646
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
647
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
648
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
649
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
650
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
651
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
652
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
653
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
654
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
655
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
656
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
657
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
658
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
659
+ additional_citations: 'If you use this dataset, please also consider citing:
660
+
661
+ LeRobot Framework: https://github.com/huggingface/lerobot
662
+
663
+ '
664
+ version_info: Initial Release
665
+ data_path: data/chunk-{id}/episode_{id}.parquet
666
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
667
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4