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Update RoboCOIN assets

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  1. .gitattributes +1 -0
  2. dataset_info/AI2_Alphabot_2_carry_the_clothes_basket.yaml +506 -0
  3. dataset_info/AI2_Alphabot_2_item_reversal.yaml +499 -0
  4. dataset_info/AI2_Alphabot_2_move_the_table.yaml +495 -0
  5. dataset_info/AI2_Alphabot_2_operate_the_microwave_oven.yaml +501 -0
  6. dataset_info/AI2_Alphabot_2_pass_the_sandbag.yaml +499 -0
  7. dataset_info/AI2_Alphabot_2_press_the_button_a.yaml +494 -0
  8. dataset_info/AI2_Alphabot_2_press_the_button_b.yaml +508 -0
  9. dataset_info/AI2_Alphabot_2_recover_after_touching_an_obstacle.yaml +497 -0
  10. dataset_info/AI2_Alphabot_2_stack_building_blocks.yaml +522 -0
  11. dataset_info/AI2_Alphabot_2_sticker.yaml +500 -0
  12. dataset_info/Agilex_Cobot_Magic_basket_storage_banana.yaml +478 -0
  13. dataset_info/Agilex_Cobot_Magic_basket_storage_bread.yaml +485 -0
  14. dataset_info/Agilex_Cobot_Magic_basket_storage_egg_yolk_pastry.yaml +478 -0
  15. dataset_info/Agilex_Cobot_Magic_basket_storage_long_bread.yaml +478 -0
  16. dataset_info/Agilex_Cobot_Magic_basket_storage_orange.yaml +478 -0
  17. dataset_info/Agilex_Cobot_Magic_basket_storage_peach.yaml +486 -0
  18. dataset_info/Agilex_Cobot_Magic_classify_objects_eight.yaml +675 -0
  19. dataset_info/Agilex_Cobot_Magic_classify_objects_six.yaml +531 -0
  20. dataset_info/Agilex_Cobot_Magic_close_drawer_bottom.yaml +492 -0
  21. dataset_info/Agilex_Cobot_Magic_close_drawer_top.yaml +492 -0
  22. dataset_info/Agilex_Cobot_Magic_close_drawer_upper.yaml +496 -0
  23. dataset_info/Agilex_Cobot_Magic_connect_block.yaml +1087 -0
  24. dataset_info/Agilex_Cobot_Magic_erase_board.yaml +505 -0
  25. dataset_info/Agilex_Cobot_Magic_erase_board_left.yaml +506 -0
  26. dataset_info/Agilex_Cobot_Magic_erase_board_left_side.yaml +503 -0
  27. dataset_info/Agilex_Cobot_Magic_erase_board_passing_left_to_right.yaml +492 -0
  28. dataset_info/Agilex_Cobot_Magic_erase_board_passing_right_to_left.yaml +486 -0
  29. dataset_info/Agilex_Cobot_Magic_erase_board_right.yaml +486 -0
  30. dataset_info/Agilex_Cobot_Magic_fold_T-shirts.yaml +491 -0
  31. dataset_info/Agilex_Cobot_Magic_fold_clothes.yaml +490 -0
  32. dataset_info/Agilex_Cobot_Magic_fold_jeans_shorts_children's.yaml +508 -0
  33. dataset_info/Agilex_Cobot_Magic_fold_short_sleeve_black.yaml +495 -0
  34. dataset_info/Agilex_Cobot_Magic_fold_short_sleeve_white.yaml +569 -0
  35. dataset_info/Agilex_Cobot_Magic_fold_shorts_khaki.yaml +489 -0
  36. dataset_info/Agilex_Cobot_Magic_fold_the_pants.yaml +502 -0
  37. dataset_info/Agilex_Cobot_Magic_fold_towel.yaml +501 -0
  38. dataset_info/Agilex_Cobot_Magic_fold_towel_blue.yaml +493 -0
  39. dataset_info/Agilex_Cobot_Magic_fold_towel_blue_tray.yaml +487 -0
  40. dataset_info/Agilex_Cobot_Magic_fold_towel_brown.yaml +496 -0
  41. dataset_info/Agilex_Cobot_Magic_fold_towel_grey_tray.yaml +490 -0
  42. dataset_info/Agilex_Cobot_Magic_fold_towel_pink_tray.yaml +481 -0
  43. dataset_info/Agilex_Cobot_Magic_fold_towel_purple.yaml +496 -0
  44. dataset_info/Agilex_Cobot_Magic_fold_towel_tray_twice.yaml +509 -0
  45. dataset_info/Agilex_Cobot_Magic_fold_towel_yellow_tray.yaml +487 -0
  46. dataset_info/Agilex_Cobot_Magic_heat_burger.yaml +503 -0
  47. dataset_info/Agilex_Cobot_Magic_heat_sandwich.yaml +492 -0
  48. dataset_info/Agilex_Cobot_Magic_make_sandwiche.yaml +531 -0
  49. dataset_info/Agilex_Cobot_Magic_move_mouse.yaml +500 -0
  50. dataset_info/Agilex_Cobot_Magic_move_mouse_pen.yaml +494 -0
.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
58
  # Video files - compressed
59
  *.mp4 filter=lfs diff=lfs merge=lfs -text
60
  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
58
  # Video files - compressed
59
  *.mp4 filter=lfs diff=lfs merge=lfs -text
60
  *.webm filter=lfs diff=lfs merge=lfs -text
61
+ info/consolidated_datasets.json filter=lfs diff=lfs merge=lfs -text
dataset_info/AI2_Alphabot_2_carry_the_clothes_basket.yaml ADDED
@@ -0,0 +1,506 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: AI2_Alphabot_2_carry_the_clothes_basket
24
+ dataset_uuid: 0df48917-c10a-469f-8f74-d57f284c09cd
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: clothes_basket
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Carry the clothes basket with both grippers.
40
+ sub_tasks:
41
+ - subtask: Move the basket above the other table.
42
+ subtask_index: 0
43
+ - subtask: Grasp the basket with both grippers.
44
+ subtask_index: 1
45
+ - subtask: Grasp the basket with left gripper.
46
+ subtask_index: 2
47
+ - subtask: Grasp the basket with right gripper.
48
+ subtask_index: 3
49
+ - subtask: End.
50
+ subtask_index: 4
51
+ - subtask: Place the basket on the table with right gripper.
52
+ subtask_index: 5
53
+ - subtask: Place the basket on the table with both grippers.
54
+ subtask_index: 6
55
+ - subtask: Place the basket on the table with left gripper.
56
+ subtask_index: 7
57
+ - subtask: null.
58
+ subtask_index: 8
59
+ atomic_actions:
60
+ - grasp
61
+ - place
62
+ - pick
63
+ robot_name: AI2_Alphabot_2
64
+ end_effector_type: two_finger_end_effector
65
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
66
+ type information.
67
+ sensor_list:
68
+ - cam_chest_rgb
69
+ - cam_head_rgb
70
+ - cam_left_wrist_rgb
71
+ - cam_right_wrist_rgb
72
+ came_info:
73
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
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
+ depth_enabled: false
80
+ coordinate_definition: right-hand-frame
81
+ joint_rotation_dim: radian
82
+ end_translation_dim: meter
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: 50
93
+ total_frames: 46527
94
+ fps: 30
95
+ total_tasks: 9
96
+ total_videos: 200
97
+ total_chunks: 1
98
+ chunks_size: 1000
99
+ state_dim: 28
100
+ action_dim: 28
101
+ camera_views: 4
102
+ dataset_size: 2.48 GB
103
+ frame_num: 46527
104
+ frame_range: 100K
105
+ dataset_size: 2.48 GB
106
+ data_structure: 'alpha_bot_2_carry_the_clothes_basket_qced_hardlink/
107
+
108
+ |-- annotations
109
+
110
+ | |-- eef_acc_mag_annotation.jsonl
111
+
112
+ | |-- eef_direction_annotation.jsonl
113
+
114
+ | |-- eef_velocity_annotation.jsonl
115
+
116
+ | |-- gripper_activity_annotation.jsonl
117
+
118
+ | |-- gripper_mode_annotation.jsonl
119
+
120
+ | |-- scene_annotations.jsonl
121
+
122
+ | `-- subtask_annotations.jsonl
123
+
124
+ |-- data
125
+
126
+ | `-- chunk-000
127
+
128
+ | |-- episode_000000.parquet
129
+
130
+ | |-- episode_000001.parquet
131
+
132
+ | |-- episode_000002.parquet
133
+
134
+ | |-- episode_000003.parquet
135
+
136
+ | |-- episode_000004.parquet
137
+
138
+ | |-- episode_000005.parquet
139
+
140
+ | |-- episode_000006.parquet
141
+
142
+ | |-- episode_000007.parquet
143
+
144
+ | |-- episode_000008.parquet
145
+
146
+ | |-- episode_000009.parquet
147
+
148
+ | |-- episode_000010.parquet
149
+
150
+ | `-- episode_000011.parquet
151
+
152
+ | `-- ... (38 more entries)
153
+
154
+ |-- meta
155
+
156
+ | |-- episodes.jsonl
157
+
158
+ | |-- episodes_stats.jsonl
159
+
160
+ | |-- info.json
161
+
162
+ | `-- tasks.jsonl
163
+
164
+ |-- videos
165
+
166
+ | `-- chunk-000
167
+
168
+ | |-- observation.images.cam_chest_rgb
169
+
170
+ | |-- observation.images.cam_head_rgb
171
+
172
+ | |-- observation.images.cam_left_wrist_rgb
173
+
174
+ | `-- observation.images.cam_right_wrist_rgb
175
+
176
+ |-- info.yaml
177
+
178
+ `-- README.md'
179
+ splits:
180
+ train: 0:49
181
+ features:
182
+ observation.images.cam_chest_rgb:
183
+ dtype: video
184
+ shape:
185
+ - 480
186
+ - 640
187
+ - 3
188
+ names:
189
+ - height
190
+ - width
191
+ - channels
192
+ info:
193
+ video.height: 480
194
+ video.width: 640
195
+ video.codec: av1
196
+ video.pix_fmt: yuv420p
197
+ video.is_depth_map: false
198
+ video.fps: 30
199
+ video.channels: 3
200
+ has_audio: false
201
+ observation.images.cam_head_rgb:
202
+ dtype: video
203
+ shape:
204
+ - 480
205
+ - 640
206
+ - 3
207
+ names:
208
+ - height
209
+ - width
210
+ - channels
211
+ info:
212
+ video.height: 480
213
+ video.width: 640
214
+ video.codec: av1
215
+ video.pix_fmt: yuv420p
216
+ video.is_depth_map: false
217
+ video.fps: 30
218
+ video.channels: 3
219
+ has_audio: false
220
+ observation.images.cam_left_wrist_rgb:
221
+ dtype: video
222
+ shape:
223
+ - 480
224
+ - 640
225
+ - 3
226
+ names:
227
+ - height
228
+ - width
229
+ - channels
230
+ info:
231
+ video.height: 480
232
+ video.width: 640
233
+ video.codec: av1
234
+ video.pix_fmt: yuv420p
235
+ video.is_depth_map: false
236
+ video.fps: 30
237
+ video.channels: 3
238
+ has_audio: false
239
+ observation.images.cam_right_wrist_rgb:
240
+ dtype: video
241
+ shape:
242
+ - 480
243
+ - 640
244
+ - 3
245
+ names:
246
+ - height
247
+ - width
248
+ - channels
249
+ info:
250
+ video.height: 480
251
+ video.width: 640
252
+ video.codec: av1
253
+ video.pix_fmt: yuv420p
254
+ video.is_depth_map: false
255
+ video.fps: 30
256
+ video.channels: 3
257
+ has_audio: false
258
+ observation.state:
259
+ dtype: float32
260
+ shape:
261
+ - 28
262
+ names:
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_eef_pos_x_m
271
+ - left_eef_pos_y_m
272
+ - left_eef_pos_z_m
273
+ - left_eef_rot_euler_x_rad
274
+ - left_eef_rot_euler_y_rad
275
+ - left_eef_rot_euler_z_rad
276
+ - right_arm_joint_1_rad
277
+ - right_arm_joint_2_rad
278
+ - right_arm_joint_3_rad
279
+ - right_arm_joint_4_rad
280
+ - right_arm_joint_5_rad
281
+ - right_arm_joint_6_rad
282
+ - right_arm_joint_7_rad
283
+ - right_eef_pos_x_m
284
+ - right_eef_pos_y_m
285
+ - right_eef_pos_z_m
286
+ - right_eef_rot_euler_x_rad
287
+ - right_eef_rot_euler_y_rad
288
+ - right_eef_rot_euler_z_rad
289
+ - left_gripper_open
290
+ - right_gripper_open
291
+ action:
292
+ dtype: float32
293
+ shape:
294
+ - 28
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_arm_joint_7_rad
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_arm_joint_7_rad
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
+ - left_gripper_open
323
+ - right_gripper_open
324
+ timestamp:
325
+ dtype: float32
326
+ shape:
327
+ - 1
328
+ names: null
329
+ frame_index:
330
+ dtype: int64
331
+ shape:
332
+ - 1
333
+ names: null
334
+ episode_index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ index:
340
+ dtype: int64
341
+ shape:
342
+ - 1
343
+ names: null
344
+ task_index:
345
+ dtype: int64
346
+ shape:
347
+ - 1
348
+ names: null
349
+ subtask_annotation:
350
+ names: null
351
+ dtype: int32
352
+ shape:
353
+ - 5
354
+ scene_annotation:
355
+ names: null
356
+ dtype: int32
357
+ shape:
358
+ - 1
359
+ eef_sim_pose_state:
360
+ names:
361
+ - left_eef_pos_x
362
+ - left_eef_pos_y
363
+ - left_eef_pos_z
364
+ - left_eef_ori_x
365
+ - left_eef_ori_y
366
+ - left_eef_ori_z
367
+ - right_eef_pos_x
368
+ - right_eef_pos_y
369
+ - right_eef_pos_z
370
+ - right_eef_ori_x
371
+ - right_eef_ori_y
372
+ - right_eef_ori_z
373
+ dtype: float32
374
+ shape:
375
+ - 12
376
+ eef_sim_pose_action:
377
+ names:
378
+ - left_eef_pos_x
379
+ - left_eef_pos_y
380
+ - left_eef_pos_z
381
+ - left_eef_ori_x
382
+ - left_eef_ori_y
383
+ - left_eef_ori_z
384
+ - right_eef_pos_x
385
+ - right_eef_pos_y
386
+ - right_eef_pos_z
387
+ - right_eef_ori_x
388
+ - right_eef_ori_y
389
+ - right_eef_ori_z
390
+ dtype: float32
391
+ shape:
392
+ - 12
393
+ eef_direction_state:
394
+ names:
395
+ - left_eef_direction
396
+ - right_eef_direction
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_direction_action:
401
+ names:
402
+ - left_eef_direction
403
+ - right_eef_direction
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_velocity_state:
408
+ names:
409
+ - left_eef_velocity
410
+ - right_eef_velocity
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ eef_velocity_action:
415
+ names:
416
+ - left_eef_velocity
417
+ - right_eef_velocity
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ eef_acc_mag_state:
422
+ names:
423
+ - left_eef_acc_mag
424
+ - right_eef_acc_mag
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ eef_acc_mag_action:
429
+ names:
430
+ - left_eef_acc_mag
431
+ - right_eef_acc_mag
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_open_scale_state:
436
+ names:
437
+ - left_gripper_open_scale
438
+ - right_gripper_open_scale
439
+ dtype: float32
440
+ shape:
441
+ - 2
442
+ gripper_open_scale_action:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ dtype: float32
447
+ shape:
448
+ - 2
449
+ gripper_mode_state:
450
+ names:
451
+ - left_gripper_mode
452
+ - right_gripper_mode
453
+ dtype: int32
454
+ shape:
455
+ - 2
456
+ gripper_mode_action:
457
+ names:
458
+ - left_gripper_mode
459
+ - right_gripper_mode
460
+ dtype: int32
461
+ shape:
462
+ - 2
463
+ gripper_activity_state:
464
+ names:
465
+ - left_gripper_activity
466
+ - right_gripper_activity
467
+ dtype: int32
468
+ shape:
469
+ - 2
470
+ authors:
471
+ contributed_by:
472
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
473
+ dataset_description: This dataset uses an extended format based on LeRobot and is
474
+ fully compatible with LeRobot.
475
+ homepage: https://flagopen.github.io/RoboCOIN/
476
+ paper: https://arxiv.org/abs/2511.17441
477
+ repository: https://github.com/FlagOpen/RoboCOIN
478
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
479
+ us.
480
+ support_info: For technical support, please open an issue on our GitHub repository.
481
+ license_details: apache-2.0
482
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
483
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
484
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
485
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
486
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
487
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
488
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
489
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
490
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
491
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
492
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
493
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
494
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
495
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
496
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
497
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
498
+ additional_citations: 'If you use this dataset, please also consider citing:
499
+
500
+ LeRobot Framework: https://github.com/huggingface/lerobot
501
+
502
+ '
503
+ version_info: Initial Release
504
+ data_path: data/chunk-{id}/episode_{id}.parquet
505
+ video_path: videos/chunk-{id}/observation.images.cam_chest_rgb/episode_{id}.mp{id}
506
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_item_reversal.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: AI2_Alphabot_2_item_reversal
24
+ dataset_uuid: aac569d8-dbc7-4128-a573-659adbe0ed51
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: cup
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Pick up the cup with your left gripper and hand it to your right gripper. Rotate
40
+ it over with the right gripper.
41
+ sub_tasks:
42
+ - subtask: Grasp the cup with left gripper.
43
+ subtask_index: 0
44
+ - subtask: Place the cup on the table with right gripper.
45
+ subtask_index: 1
46
+ - subtask: Pass the cup to the right gripper.
47
+ subtask_index: 2
48
+ - subtask: End.
49
+ subtask_index: 3
50
+ - subtask: null.
51
+ subtask_index: 4
52
+ atomic_actions:
53
+ - grasp
54
+ - place
55
+ - pick
56
+ robot_name: AI2_Alphabot_2
57
+ end_effector_type: two_finger_end_effector
58
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
59
+ type information.
60
+ sensor_list:
61
+ - cam_chest_rgb
62
+ - cam_head_rgb
63
+ - cam_left_wrist_rgb
64
+ - cam_right_wrist_rgb
65
+ came_info:
66
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
67
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
68
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
69
+ pix_fmt=yuv420p
70
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
71
+ pix_fmt=yuv420p
72
+ depth_enabled: false
73
+ coordinate_definition: right-hand-frame
74
+ joint_rotation_dim: radian
75
+ end_translation_dim: meter
76
+ annotations:
77
+ - eef_acc_mag_annotation.jsonl
78
+ - eef_direction_annotation.jsonl
79
+ - eef_velocity_annotation.jsonl
80
+ - gripper_activity_annotation.jsonl
81
+ - gripper_mode_annotation.jsonl
82
+ - scene_annotations.jsonl
83
+ - subtask_annotations.jsonl
84
+ statistics:
85
+ total_episodes: 90
86
+ total_frames: 82235
87
+ fps: 30
88
+ total_tasks: 5
89
+ total_videos: 360
90
+ total_chunks: 1
91
+ chunks_size: 1000
92
+ state_dim: 28
93
+ action_dim: 28
94
+ camera_views: 4
95
+ dataset_size: 2.12 GB
96
+ frame_num: 82235
97
+ frame_range: 100K
98
+ dataset_size: 2.12 GB
99
+ data_structure: 'alpha_bot_2_item_reversal_qced_hardlink/
100
+
101
+ |-- annotations
102
+
103
+ | |-- eef_acc_mag_annotation.jsonl
104
+
105
+ | |-- eef_direction_annotation.jsonl
106
+
107
+ | |-- eef_velocity_annotation.jsonl
108
+
109
+ | |-- gripper_activity_annotation.jsonl
110
+
111
+ | |-- gripper_mode_annotation.jsonl
112
+
113
+ | |-- scene_annotations.jsonl
114
+
115
+ | `-- subtask_annotations.jsonl
116
+
117
+ |-- data
118
+
119
+ | `-- chunk-000
120
+
121
+ | |-- episode_000000.parquet
122
+
123
+ | |-- episode_000001.parquet
124
+
125
+ | |-- episode_000002.parquet
126
+
127
+ | |-- episode_000003.parquet
128
+
129
+ | |-- episode_000004.parquet
130
+
131
+ | |-- episode_000005.parquet
132
+
133
+ | |-- episode_000006.parquet
134
+
135
+ | |-- episode_000007.parquet
136
+
137
+ | |-- episode_000008.parquet
138
+
139
+ | |-- episode_000009.parquet
140
+
141
+ | |-- episode_000010.parquet
142
+
143
+ | `-- episode_000011.parquet
144
+
145
+ | `-- ... (78 more entries)
146
+
147
+ |-- meta
148
+
149
+ | |-- episodes.jsonl
150
+
151
+ | |-- episodes_stats.jsonl
152
+
153
+ | |-- info.json
154
+
155
+ | `-- tasks.jsonl
156
+
157
+ |-- videos
158
+
159
+ | `-- chunk-000
160
+
161
+ | |-- observation.images.cam_chest_rgb
162
+
163
+ | |-- observation.images.cam_head_rgb
164
+
165
+ | |-- observation.images.cam_left_wrist_rgb
166
+
167
+ | `-- observation.images.cam_right_wrist_rgb
168
+
169
+ |-- info.yaml
170
+
171
+ `-- README.md'
172
+ splits:
173
+ train: 0:89
174
+ features:
175
+ observation.images.cam_chest_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_head_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.images.cam_left_wrist_rgb:
214
+ dtype: video
215
+ shape:
216
+ - 480
217
+ - 640
218
+ - 3
219
+ names:
220
+ - height
221
+ - width
222
+ - channels
223
+ info:
224
+ video.height: 480
225
+ video.width: 640
226
+ video.codec: av1
227
+ video.pix_fmt: yuv420p
228
+ video.is_depth_map: false
229
+ video.fps: 30
230
+ video.channels: 3
231
+ has_audio: false
232
+ observation.images.cam_right_wrist_rgb:
233
+ dtype: video
234
+ shape:
235
+ - 480
236
+ - 640
237
+ - 3
238
+ names:
239
+ - height
240
+ - width
241
+ - channels
242
+ info:
243
+ video.height: 480
244
+ video.width: 640
245
+ video.codec: av1
246
+ video.pix_fmt: yuv420p
247
+ video.is_depth_map: false
248
+ video.fps: 30
249
+ video.channels: 3
250
+ has_audio: false
251
+ observation.state:
252
+ dtype: float32
253
+ shape:
254
+ - 28
255
+ names:
256
+ - left_arm_joint_1_rad
257
+ - left_arm_joint_2_rad
258
+ - left_arm_joint_3_rad
259
+ - left_arm_joint_4_rad
260
+ - left_arm_joint_5_rad
261
+ - left_arm_joint_6_rad
262
+ - left_arm_joint_7_rad
263
+ - left_eef_pos_x_m
264
+ - left_eef_pos_y_m
265
+ - left_eef_pos_z_m
266
+ - left_eef_rot_euler_x_rad
267
+ - left_eef_rot_euler_y_rad
268
+ - left_eef_rot_euler_z_rad
269
+ - right_arm_joint_1_rad
270
+ - right_arm_joint_2_rad
271
+ - right_arm_joint_3_rad
272
+ - right_arm_joint_4_rad
273
+ - right_arm_joint_5_rad
274
+ - right_arm_joint_6_rad
275
+ - right_arm_joint_7_rad
276
+ - right_eef_pos_x_m
277
+ - right_eef_pos_y_m
278
+ - right_eef_pos_z_m
279
+ - right_eef_rot_euler_x_rad
280
+ - right_eef_rot_euler_y_rad
281
+ - right_eef_rot_euler_z_rad
282
+ - left_gripper_open
283
+ - right_gripper_open
284
+ action:
285
+ dtype: float32
286
+ shape:
287
+ - 28
288
+ names:
289
+ - left_arm_joint_1_rad
290
+ - left_arm_joint_2_rad
291
+ - left_arm_joint_3_rad
292
+ - left_arm_joint_4_rad
293
+ - left_arm_joint_5_rad
294
+ - left_arm_joint_6_rad
295
+ - left_arm_joint_7_rad
296
+ - left_eef_pos_x_m
297
+ - left_eef_pos_y_m
298
+ - left_eef_pos_z_m
299
+ - left_eef_rot_euler_x_rad
300
+ - left_eef_rot_euler_y_rad
301
+ - left_eef_rot_euler_z_rad
302
+ - right_arm_joint_1_rad
303
+ - right_arm_joint_2_rad
304
+ - right_arm_joint_3_rad
305
+ - right_arm_joint_4_rad
306
+ - right_arm_joint_5_rad
307
+ - right_arm_joint_6_rad
308
+ - right_arm_joint_7_rad
309
+ - right_eef_pos_x_m
310
+ - right_eef_pos_y_m
311
+ - right_eef_pos_z_m
312
+ - right_eef_rot_euler_x_rad
313
+ - right_eef_rot_euler_y_rad
314
+ - right_eef_rot_euler_z_rad
315
+ - left_gripper_open
316
+ - right_gripper_open
317
+ timestamp:
318
+ dtype: float32
319
+ shape:
320
+ - 1
321
+ names: null
322
+ frame_index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ episode_index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ index:
333
+ dtype: int64
334
+ shape:
335
+ - 1
336
+ names: null
337
+ task_index:
338
+ dtype: int64
339
+ shape:
340
+ - 1
341
+ names: null
342
+ subtask_annotation:
343
+ names: null
344
+ dtype: int32
345
+ shape:
346
+ - 5
347
+ scene_annotation:
348
+ names: null
349
+ dtype: int32
350
+ shape:
351
+ - 1
352
+ eef_sim_pose_state:
353
+ names:
354
+ - left_eef_pos_x
355
+ - left_eef_pos_y
356
+ - left_eef_pos_z
357
+ - left_eef_ori_x
358
+ - left_eef_ori_y
359
+ - left_eef_ori_z
360
+ - right_eef_pos_x
361
+ - right_eef_pos_y
362
+ - right_eef_pos_z
363
+ - right_eef_ori_x
364
+ - right_eef_ori_y
365
+ - right_eef_ori_z
366
+ dtype: float32
367
+ shape:
368
+ - 12
369
+ eef_sim_pose_action:
370
+ names:
371
+ - left_eef_pos_x
372
+ - left_eef_pos_y
373
+ - left_eef_pos_z
374
+ - left_eef_ori_x
375
+ - left_eef_ori_y
376
+ - left_eef_ori_z
377
+ - right_eef_pos_x
378
+ - right_eef_pos_y
379
+ - right_eef_pos_z
380
+ - right_eef_ori_x
381
+ - right_eef_ori_y
382
+ - right_eef_ori_z
383
+ dtype: float32
384
+ shape:
385
+ - 12
386
+ eef_direction_state:
387
+ names:
388
+ - left_eef_direction
389
+ - right_eef_direction
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_direction_action:
394
+ names:
395
+ - left_eef_direction
396
+ - right_eef_direction
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_velocity_state:
401
+ names:
402
+ - left_eef_velocity
403
+ - right_eef_velocity
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_velocity_action:
408
+ names:
409
+ - left_eef_velocity
410
+ - right_eef_velocity
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ eef_acc_mag_state:
415
+ names:
416
+ - left_eef_acc_mag
417
+ - right_eef_acc_mag
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ eef_acc_mag_action:
422
+ names:
423
+ - left_eef_acc_mag
424
+ - right_eef_acc_mag
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_open_scale_state:
429
+ names:
430
+ - left_gripper_open_scale
431
+ - right_gripper_open_scale
432
+ dtype: float32
433
+ shape:
434
+ - 2
435
+ gripper_open_scale_action:
436
+ names:
437
+ - left_gripper_open_scale
438
+ - right_gripper_open_scale
439
+ dtype: float32
440
+ shape:
441
+ - 2
442
+ gripper_mode_state:
443
+ names:
444
+ - left_gripper_mode
445
+ - right_gripper_mode
446
+ dtype: int32
447
+ shape:
448
+ - 2
449
+ gripper_mode_action:
450
+ names:
451
+ - left_gripper_mode
452
+ - right_gripper_mode
453
+ dtype: int32
454
+ shape:
455
+ - 2
456
+ gripper_activity_state:
457
+ names:
458
+ - left_gripper_activity
459
+ - right_gripper_activity
460
+ dtype: int32
461
+ shape:
462
+ - 2
463
+ authors:
464
+ contributed_by:
465
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
466
+ dataset_description: This dataset uses an extended format based on LeRobot and is
467
+ fully compatible with LeRobot.
468
+ homepage: https://flagopen.github.io/RoboCOIN/
469
+ paper: https://arxiv.org/abs/2511.17441
470
+ repository: https://github.com/FlagOpen/RoboCOIN
471
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
472
+ us.
473
+ support_info: For technical support, please open an issue on our GitHub repository.
474
+ license_details: apache-2.0
475
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
476
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
477
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
478
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
479
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
480
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
481
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
482
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
483
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
484
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
485
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
486
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
487
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
488
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
489
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
490
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
491
+ additional_citations: 'If you use this dataset, please also consider citing:
492
+
493
+ LeRobot Framework: https://github.com/huggingface/lerobot
494
+
495
+ '
496
+ version_info: Initial Release
497
+ data_path: data/chunk-{id}/episode_{id}.parquet
498
+ video_path: videos/chunk-{id}/observation.images.cam_chest_rgb/episode_{id}.mp{id}
499
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_move_the_table.yaml ADDED
@@ -0,0 +1,495 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: AI2_Alphabot_2_move_the_table
24
+ dataset_uuid: 09e62222-abf5-4a90-a95b-91d15d99af82
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
36
+ the operation type information.
37
+ task_instruction:
38
+ - Move the collaborative table with the human and the machine.
39
+ sub_tasks:
40
+ - subtask: End.
41
+ subtask_index: 0
42
+ - subtask: Move the table forward with both grippers.
43
+ subtask_index: 1
44
+ - subtask: Grasp the table with both grippers.
45
+ subtask_index: 2
46
+ - subtask: null.
47
+ subtask_index: 3
48
+ atomic_actions:
49
+ - grasp
50
+ - place
51
+ - pick
52
+ robot_name: AI2_Alphabot_2
53
+ end_effector_type: two_finger_end_effector
54
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
55
+ type information.
56
+ sensor_list:
57
+ - cam_chest_rgb
58
+ - cam_head_rgb
59
+ - cam_left_wrist_rgb
60
+ - cam_right_wrist_rgb
61
+ came_info:
62
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
63
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
64
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
65
+ pix_fmt=yuv420p
66
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
67
+ pix_fmt=yuv420p
68
+ depth_enabled: false
69
+ coordinate_definition: right-hand-frame
70
+ joint_rotation_dim: radian
71
+ end_translation_dim: meter
72
+ annotations:
73
+ - eef_acc_mag_annotation.jsonl
74
+ - eef_direction_annotation.jsonl
75
+ - eef_velocity_annotation.jsonl
76
+ - gripper_activity_annotation.jsonl
77
+ - gripper_mode_annotation.jsonl
78
+ - scene_annotations.jsonl
79
+ - subtask_annotations.jsonl
80
+ statistics:
81
+ total_episodes: 72
82
+ total_frames: 50897
83
+ fps: 30
84
+ total_tasks: 4
85
+ total_videos: 288
86
+ total_chunks: 1
87
+ chunks_size: 1000
88
+ state_dim: 28
89
+ action_dim: 28
90
+ camera_views: 4
91
+ dataset_size: 1.37 GB
92
+ frame_num: 50897
93
+ frame_range: 100K
94
+ dataset_size: 1.37 GB
95
+ data_structure: 'alpha_bot_2_move_the_table_qced_hardlink/
96
+
97
+ |-- annotations
98
+
99
+ | |-- eef_acc_mag_annotation.jsonl
100
+
101
+ | |-- eef_direction_annotation.jsonl
102
+
103
+ | |-- eef_velocity_annotation.jsonl
104
+
105
+ | |-- gripper_activity_annotation.jsonl
106
+
107
+ | |-- gripper_mode_annotation.jsonl
108
+
109
+ | |-- scene_annotations.jsonl
110
+
111
+ | `-- subtask_annotations.jsonl
112
+
113
+ |-- data
114
+
115
+ | `-- chunk-000
116
+
117
+ | |-- episode_000000.parquet
118
+
119
+ | |-- episode_000001.parquet
120
+
121
+ | |-- episode_000002.parquet
122
+
123
+ | |-- episode_000003.parquet
124
+
125
+ | |-- episode_000004.parquet
126
+
127
+ | |-- episode_000005.parquet
128
+
129
+ | |-- episode_000006.parquet
130
+
131
+ | |-- episode_000007.parquet
132
+
133
+ | |-- episode_000008.parquet
134
+
135
+ | |-- episode_000009.parquet
136
+
137
+ | |-- episode_000010.parquet
138
+
139
+ | `-- episode_000011.parquet
140
+
141
+ | `-- ... (60 more entries)
142
+
143
+ |-- meta
144
+
145
+ | |-- episodes.jsonl
146
+
147
+ | |-- episodes_stats.jsonl
148
+
149
+ | |-- info.json
150
+
151
+ | `-- tasks.jsonl
152
+
153
+ |-- videos
154
+
155
+ | `-- chunk-000
156
+
157
+ | |-- observation.images.cam_chest_rgb
158
+
159
+ | |-- observation.images.cam_head_rgb
160
+
161
+ | |-- observation.images.cam_left_wrist_rgb
162
+
163
+ | `-- observation.images.cam_right_wrist_rgb
164
+
165
+ |-- info.yaml
166
+
167
+ `-- README.md'
168
+ splits:
169
+ train: 0:71
170
+ features:
171
+ observation.images.cam_chest_rgb:
172
+ dtype: video
173
+ shape:
174
+ - 480
175
+ - 640
176
+ - 3
177
+ names:
178
+ - height
179
+ - width
180
+ - channels
181
+ info:
182
+ video.height: 480
183
+ video.width: 640
184
+ video.codec: av1
185
+ video.pix_fmt: yuv420p
186
+ video.is_depth_map: false
187
+ video.fps: 30
188
+ video.channels: 3
189
+ has_audio: false
190
+ observation.images.cam_head_rgb:
191
+ dtype: video
192
+ shape:
193
+ - 480
194
+ - 640
195
+ - 3
196
+ names:
197
+ - height
198
+ - width
199
+ - channels
200
+ info:
201
+ video.height: 480
202
+ video.width: 640
203
+ video.codec: av1
204
+ video.pix_fmt: yuv420p
205
+ video.is_depth_map: false
206
+ video.fps: 30
207
+ video.channels: 3
208
+ has_audio: false
209
+ observation.images.cam_left_wrist_rgb:
210
+ dtype: video
211
+ shape:
212
+ - 480
213
+ - 640
214
+ - 3
215
+ names:
216
+ - height
217
+ - width
218
+ - channels
219
+ info:
220
+ video.height: 480
221
+ video.width: 640
222
+ video.codec: av1
223
+ video.pix_fmt: yuv420p
224
+ video.is_depth_map: false
225
+ video.fps: 30
226
+ video.channels: 3
227
+ has_audio: false
228
+ observation.images.cam_right_wrist_rgb:
229
+ dtype: video
230
+ shape:
231
+ - 480
232
+ - 640
233
+ - 3
234
+ names:
235
+ - height
236
+ - width
237
+ - channels
238
+ info:
239
+ video.height: 480
240
+ video.width: 640
241
+ video.codec: av1
242
+ video.pix_fmt: yuv420p
243
+ video.is_depth_map: false
244
+ video.fps: 30
245
+ video.channels: 3
246
+ has_audio: false
247
+ observation.state:
248
+ dtype: float32
249
+ shape:
250
+ - 28
251
+ names:
252
+ - 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
+ - left_arm_joint_7_rad
259
+ - left_eef_pos_x_m
260
+ - left_eef_pos_y_m
261
+ - left_eef_pos_z_m
262
+ - left_eef_rot_euler_x_rad
263
+ - left_eef_rot_euler_y_rad
264
+ - left_eef_rot_euler_z_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
+ - right_arm_joint_7_rad
272
+ - right_eef_pos_x_m
273
+ - right_eef_pos_y_m
274
+ - right_eef_pos_z_m
275
+ - right_eef_rot_euler_x_rad
276
+ - right_eef_rot_euler_y_rad
277
+ - right_eef_rot_euler_z_rad
278
+ - left_gripper_open
279
+ - right_gripper_open
280
+ action:
281
+ dtype: float32
282
+ shape:
283
+ - 28
284
+ names:
285
+ - left_arm_joint_1_rad
286
+ - left_arm_joint_2_rad
287
+ - left_arm_joint_3_rad
288
+ - left_arm_joint_4_rad
289
+ - left_arm_joint_5_rad
290
+ - left_arm_joint_6_rad
291
+ - left_arm_joint_7_rad
292
+ - left_eef_pos_x_m
293
+ - left_eef_pos_y_m
294
+ - left_eef_pos_z_m
295
+ - left_eef_rot_euler_x_rad
296
+ - left_eef_rot_euler_y_rad
297
+ - left_eef_rot_euler_z_rad
298
+ - right_arm_joint_1_rad
299
+ - right_arm_joint_2_rad
300
+ - right_arm_joint_3_rad
301
+ - right_arm_joint_4_rad
302
+ - right_arm_joint_5_rad
303
+ - right_arm_joint_6_rad
304
+ - right_arm_joint_7_rad
305
+ - right_eef_pos_x_m
306
+ - right_eef_pos_y_m
307
+ - right_eef_pos_z_m
308
+ - right_eef_rot_euler_x_rad
309
+ - right_eef_rot_euler_y_rad
310
+ - right_eef_rot_euler_z_rad
311
+ - left_gripper_open
312
+ - right_gripper_open
313
+ timestamp:
314
+ dtype: float32
315
+ shape:
316
+ - 1
317
+ names: null
318
+ frame_index:
319
+ dtype: int64
320
+ shape:
321
+ - 1
322
+ names: null
323
+ episode_index:
324
+ dtype: int64
325
+ shape:
326
+ - 1
327
+ names: null
328
+ index:
329
+ dtype: int64
330
+ shape:
331
+ - 1
332
+ names: null
333
+ task_index:
334
+ dtype: int64
335
+ shape:
336
+ - 1
337
+ names: null
338
+ subtask_annotation:
339
+ names: null
340
+ dtype: int32
341
+ shape:
342
+ - 5
343
+ scene_annotation:
344
+ names: null
345
+ dtype: int32
346
+ shape:
347
+ - 1
348
+ eef_sim_pose_state:
349
+ names:
350
+ - left_eef_pos_x
351
+ - left_eef_pos_y
352
+ - left_eef_pos_z
353
+ - left_eef_ori_x
354
+ - left_eef_ori_y
355
+ - left_eef_ori_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_ori_x
360
+ - right_eef_ori_y
361
+ - right_eef_ori_z
362
+ dtype: float32
363
+ shape:
364
+ - 12
365
+ eef_sim_pose_action:
366
+ names:
367
+ - left_eef_pos_x
368
+ - left_eef_pos_y
369
+ - left_eef_pos_z
370
+ - left_eef_ori_x
371
+ - left_eef_ori_y
372
+ - left_eef_ori_z
373
+ - right_eef_pos_x
374
+ - right_eef_pos_y
375
+ - right_eef_pos_z
376
+ - right_eef_ori_x
377
+ - right_eef_ori_y
378
+ - right_eef_ori_z
379
+ dtype: float32
380
+ shape:
381
+ - 12
382
+ eef_direction_state:
383
+ names:
384
+ - left_eef_direction
385
+ - right_eef_direction
386
+ dtype: int32
387
+ shape:
388
+ - 2
389
+ eef_direction_action:
390
+ names:
391
+ - left_eef_direction
392
+ - right_eef_direction
393
+ dtype: int32
394
+ shape:
395
+ - 2
396
+ eef_velocity_state:
397
+ names:
398
+ - left_eef_velocity
399
+ - right_eef_velocity
400
+ dtype: int32
401
+ shape:
402
+ - 2
403
+ eef_velocity_action:
404
+ names:
405
+ - left_eef_velocity
406
+ - right_eef_velocity
407
+ dtype: int32
408
+ shape:
409
+ - 2
410
+ eef_acc_mag_state:
411
+ names:
412
+ - left_eef_acc_mag
413
+ - right_eef_acc_mag
414
+ dtype: int32
415
+ shape:
416
+ - 2
417
+ eef_acc_mag_action:
418
+ names:
419
+ - left_eef_acc_mag
420
+ - right_eef_acc_mag
421
+ dtype: int32
422
+ shape:
423
+ - 2
424
+ gripper_open_scale_state:
425
+ names:
426
+ - left_gripper_open_scale
427
+ - right_gripper_open_scale
428
+ dtype: float32
429
+ shape:
430
+ - 2
431
+ gripper_open_scale_action:
432
+ names:
433
+ - left_gripper_open_scale
434
+ - right_gripper_open_scale
435
+ dtype: float32
436
+ shape:
437
+ - 2
438
+ gripper_mode_state:
439
+ names:
440
+ - left_gripper_mode
441
+ - right_gripper_mode
442
+ dtype: int32
443
+ shape:
444
+ - 2
445
+ gripper_mode_action:
446
+ names:
447
+ - left_gripper_mode
448
+ - right_gripper_mode
449
+ dtype: int32
450
+ shape:
451
+ - 2
452
+ gripper_activity_state:
453
+ names:
454
+ - left_gripper_activity
455
+ - right_gripper_activity
456
+ dtype: int32
457
+ shape:
458
+ - 2
459
+ authors:
460
+ contributed_by:
461
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
462
+ dataset_description: This dataset uses an extended format based on LeRobot and is
463
+ fully compatible with LeRobot.
464
+ homepage: https://flagopen.github.io/RoboCOIN/
465
+ paper: https://arxiv.org/abs/2511.17441
466
+ repository: https://github.com/FlagOpen/RoboCOIN
467
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
468
+ us.
469
+ support_info: For technical support, please open an issue on our GitHub repository.
470
+ license_details: apache-2.0
471
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
472
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
473
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
474
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
475
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
476
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
477
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
478
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
479
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
480
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
481
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
482
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
483
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
484
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
485
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
486
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
487
+ additional_citations: 'If you use this dataset, please also consider citing:
488
+
489
+ LeRobot Framework: https://github.com/huggingface/lerobot
490
+
491
+ '
492
+ version_info: Initial Release
493
+ data_path: data/chunk-{id}/episode_{id}.parquet
494
+ video_path: videos/chunk-{id}/observation.images.cam_chest_rgb/episode_{id}.mp{id}
495
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_operate_the_microwave_oven.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: AI2_Alphabot_2_operate_the_microwave_oven
24
+ dataset_uuid: 6223c1d1-5efd-480c-8aa8-e1d4f14069f2
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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: microwave_oven
35
+ - object_name: table
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Place the temperature of the microwave oven with the gripper and rotate it on. Open
40
+ the door of the microwave oven with the gripper and then close it with the gripper.
41
+ sub_tasks:
42
+ - subtask: Press the time button with right gripper.
43
+ subtask_index: 0
44
+ - subtask: Press the start button with right gripper.
45
+ subtask_index: 1
46
+ - subtask: End.
47
+ subtask_index: 2
48
+ - subtask: Press the swap with right gripper.
49
+ subtask_index: 3
50
+ - subtask: Close the microwave door with left gripper.
51
+ subtask_index: 4
52
+ - subtask: null.
53
+ subtask_index: 5
54
+ atomic_actions:
55
+ - pull
56
+ - push
57
+ - rotate
58
+ robot_name: AI2_Alphabot_2
59
+ end_effector_type: two_finger_end_effector
60
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
61
+ type information.
62
+ sensor_list:
63
+ - cam_chest_rgb
64
+ - cam_head_rgb
65
+ - cam_left_wrist_rgb
66
+ - cam_right_wrist_rgb
67
+ came_info:
68
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
69
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
70
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
71
+ pix_fmt=yuv420p
72
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
73
+ pix_fmt=yuv420p
74
+ depth_enabled: false
75
+ coordinate_definition: right-hand-frame
76
+ joint_rotation_dim: radian
77
+ end_translation_dim: meter
78
+ annotations:
79
+ - eef_acc_mag_annotation.jsonl
80
+ - eef_direction_annotation.jsonl
81
+ - eef_velocity_annotation.jsonl
82
+ - gripper_activity_annotation.jsonl
83
+ - gripper_mode_annotation.jsonl
84
+ - scene_annotations.jsonl
85
+ - subtask_annotations.jsonl
86
+ statistics:
87
+ total_episodes: 16
88
+ total_frames: 16486
89
+ fps: 30
90
+ total_tasks: 6
91
+ total_videos: 64
92
+ total_chunks: 1
93
+ chunks_size: 1000
94
+ state_dim: 28
95
+ action_dim: 28
96
+ camera_views: 4
97
+ dataset_size: 395.73 MB
98
+ frame_num: 16486
99
+ frame_range: 100K
100
+ dataset_size: 395.73 MB
101
+ data_structure: 'alpha_bot_2_operate_the_microwave_oven_qced_hardlink/
102
+
103
+ |-- annotations
104
+
105
+ | |-- eef_acc_mag_annotation.jsonl
106
+
107
+ | |-- eef_direction_annotation.jsonl
108
+
109
+ | |-- eef_velocity_annotation.jsonl
110
+
111
+ | |-- gripper_activity_annotation.jsonl
112
+
113
+ | |-- gripper_mode_annotation.jsonl
114
+
115
+ | |-- scene_annotations.jsonl
116
+
117
+ | `-- subtask_annotations.jsonl
118
+
119
+ |-- data
120
+
121
+ | `-- chunk-000
122
+
123
+ | |-- episode_000000.parquet
124
+
125
+ | |-- episode_000001.parquet
126
+
127
+ | |-- episode_000002.parquet
128
+
129
+ | |-- episode_000003.parquet
130
+
131
+ | |-- episode_000004.parquet
132
+
133
+ | |-- episode_000005.parquet
134
+
135
+ | |-- episode_000006.parquet
136
+
137
+ | |-- episode_000007.parquet
138
+
139
+ | |-- episode_000008.parquet
140
+
141
+ | |-- episode_000009.parquet
142
+
143
+ | |-- episode_000010.parquet
144
+
145
+ | `-- episode_000011.parquet
146
+
147
+ | `-- ... (4 more entries)
148
+
149
+ |-- meta
150
+
151
+ | |-- episodes.jsonl
152
+
153
+ | |-- episodes_stats.jsonl
154
+
155
+ | |-- info.json
156
+
157
+ | `-- tasks.jsonl
158
+
159
+ |-- videos
160
+
161
+ | `-- chunk-000
162
+
163
+ | |-- observation.images.cam_chest_rgb
164
+
165
+ | |-- observation.images.cam_head_rgb
166
+
167
+ | |-- observation.images.cam_left_wrist_rgb
168
+
169
+ | `-- observation.images.cam_right_wrist_rgb
170
+
171
+ |-- info.yaml
172
+
173
+ `-- README.md'
174
+ splits:
175
+ train: 0:15
176
+ features:
177
+ observation.images.cam_chest_rgb:
178
+ dtype: video
179
+ shape:
180
+ - 480
181
+ - 640
182
+ - 3
183
+ names:
184
+ - height
185
+ - width
186
+ - channels
187
+ info:
188
+ video.height: 480
189
+ video.width: 640
190
+ video.codec: av1
191
+ video.pix_fmt: yuv420p
192
+ video.is_depth_map: false
193
+ video.fps: 30
194
+ video.channels: 3
195
+ has_audio: false
196
+ observation.images.cam_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.state:
254
+ dtype: float32
255
+ shape:
256
+ - 28
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
+ - left_arm_joint_7_rad
265
+ - left_eef_pos_x_m
266
+ - left_eef_pos_y_m
267
+ - left_eef_pos_z_m
268
+ - left_eef_rot_euler_x_rad
269
+ - left_eef_rot_euler_y_rad
270
+ - left_eef_rot_euler_z_rad
271
+ - right_arm_joint_1_rad
272
+ - right_arm_joint_2_rad
273
+ - right_arm_joint_3_rad
274
+ - right_arm_joint_4_rad
275
+ - right_arm_joint_5_rad
276
+ - right_arm_joint_6_rad
277
+ - right_arm_joint_7_rad
278
+ - right_eef_pos_x_m
279
+ - right_eef_pos_y_m
280
+ - right_eef_pos_z_m
281
+ - right_eef_rot_euler_x_rad
282
+ - right_eef_rot_euler_y_rad
283
+ - right_eef_rot_euler_z_rad
284
+ - left_gripper_open
285
+ - right_gripper_open
286
+ action:
287
+ dtype: float32
288
+ shape:
289
+ - 28
290
+ names:
291
+ - left_arm_joint_1_rad
292
+ - left_arm_joint_2_rad
293
+ - left_arm_joint_3_rad
294
+ - left_arm_joint_4_rad
295
+ - left_arm_joint_5_rad
296
+ - left_arm_joint_6_rad
297
+ - left_arm_joint_7_rad
298
+ - left_eef_pos_x_m
299
+ - left_eef_pos_y_m
300
+ - left_eef_pos_z_m
301
+ - left_eef_rot_euler_x_rad
302
+ - left_eef_rot_euler_y_rad
303
+ - left_eef_rot_euler_z_rad
304
+ - right_arm_joint_1_rad
305
+ - right_arm_joint_2_rad
306
+ - right_arm_joint_3_rad
307
+ - right_arm_joint_4_rad
308
+ - right_arm_joint_5_rad
309
+ - right_arm_joint_6_rad
310
+ - right_arm_joint_7_rad
311
+ - right_eef_pos_x_m
312
+ - right_eef_pos_y_m
313
+ - right_eef_pos_z_m
314
+ - right_eef_rot_euler_x_rad
315
+ - right_eef_rot_euler_y_rad
316
+ - right_eef_rot_euler_z_rad
317
+ - left_gripper_open
318
+ - right_gripper_open
319
+ timestamp:
320
+ dtype: float32
321
+ shape:
322
+ - 1
323
+ names: null
324
+ frame_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ episode_index:
330
+ dtype: int64
331
+ shape:
332
+ - 1
333
+ names: null
334
+ index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ task_index:
340
+ dtype: int64
341
+ shape:
342
+ - 1
343
+ names: null
344
+ subtask_annotation:
345
+ names: null
346
+ dtype: int32
347
+ shape:
348
+ - 5
349
+ scene_annotation:
350
+ names: null
351
+ dtype: int32
352
+ shape:
353
+ - 1
354
+ eef_sim_pose_state:
355
+ names:
356
+ - left_eef_pos_x
357
+ - left_eef_pos_y
358
+ - left_eef_pos_z
359
+ - left_eef_ori_x
360
+ - left_eef_ori_y
361
+ - left_eef_ori_z
362
+ - right_eef_pos_x
363
+ - right_eef_pos_y
364
+ - right_eef_pos_z
365
+ - right_eef_ori_x
366
+ - right_eef_ori_y
367
+ - right_eef_ori_z
368
+ dtype: float32
369
+ shape:
370
+ - 12
371
+ eef_sim_pose_action:
372
+ names:
373
+ - left_eef_pos_x
374
+ - left_eef_pos_y
375
+ - left_eef_pos_z
376
+ - left_eef_ori_x
377
+ - left_eef_ori_y
378
+ - left_eef_ori_z
379
+ - right_eef_pos_x
380
+ - right_eef_pos_y
381
+ - right_eef_pos_z
382
+ - right_eef_ori_x
383
+ - right_eef_ori_y
384
+ - right_eef_ori_z
385
+ dtype: float32
386
+ shape:
387
+ - 12
388
+ eef_direction_state:
389
+ names:
390
+ - left_eef_direction
391
+ - right_eef_direction
392
+ dtype: int32
393
+ shape:
394
+ - 2
395
+ eef_direction_action:
396
+ names:
397
+ - left_eef_direction
398
+ - right_eef_direction
399
+ dtype: int32
400
+ shape:
401
+ - 2
402
+ eef_velocity_state:
403
+ names:
404
+ - left_eef_velocity
405
+ - right_eef_velocity
406
+ dtype: int32
407
+ shape:
408
+ - 2
409
+ eef_velocity_action:
410
+ names:
411
+ - left_eef_velocity
412
+ - right_eef_velocity
413
+ dtype: int32
414
+ shape:
415
+ - 2
416
+ eef_acc_mag_state:
417
+ names:
418
+ - left_eef_acc_mag
419
+ - right_eef_acc_mag
420
+ dtype: int32
421
+ shape:
422
+ - 2
423
+ eef_acc_mag_action:
424
+ names:
425
+ - left_eef_acc_mag
426
+ - right_eef_acc_mag
427
+ dtype: int32
428
+ shape:
429
+ - 2
430
+ gripper_open_scale_state:
431
+ names:
432
+ - left_gripper_open_scale
433
+ - right_gripper_open_scale
434
+ dtype: float32
435
+ shape:
436
+ - 2
437
+ gripper_open_scale_action:
438
+ names:
439
+ - left_gripper_open_scale
440
+ - right_gripper_open_scale
441
+ dtype: float32
442
+ shape:
443
+ - 2
444
+ gripper_mode_state:
445
+ names:
446
+ - left_gripper_mode
447
+ - right_gripper_mode
448
+ dtype: int32
449
+ shape:
450
+ - 2
451
+ gripper_mode_action:
452
+ names:
453
+ - left_gripper_mode
454
+ - right_gripper_mode
455
+ dtype: int32
456
+ shape:
457
+ - 2
458
+ gripper_activity_state:
459
+ names:
460
+ - left_gripper_activity
461
+ - right_gripper_activity
462
+ dtype: int32
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_chest_rgb/episode_{id}.mp{id}
501
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_pass_the_sandbag.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: AI2_Alphabot_2_pass_the_sandbag
24
+ dataset_uuid: 81e68aa6-8f11-4edf-9c00-cc322e4fc0c9
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: sandbag
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - pick up the sandbag from the left gripper with the right gripper and place it on
40
+ the table.
41
+ sub_tasks:
42
+ - subtask: Pass the paper ball to the right gripper.
43
+ subtask_index: 0
44
+ - subtask: End.
45
+ subtask_index: 1
46
+ - subtask: Place the paper ball on the table with right gripper.
47
+ subtask_index: 2
48
+ - subtask: Grasp the paper ball with left gripper.
49
+ subtask_index: 3
50
+ - subtask: null.
51
+ subtask_index: 4
52
+ atomic_actions:
53
+ - grasp
54
+ - place
55
+ - pick
56
+ robot_name: AI2_Alphabot_2
57
+ end_effector_type: two_finger_end_effector
58
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
59
+ type information.
60
+ sensor_list:
61
+ - cam_chest_rgb
62
+ - cam_head_rgb
63
+ - cam_left_wrist_rgb
64
+ - cam_right_wrist_rgb
65
+ came_info:
66
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
67
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
68
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
69
+ pix_fmt=yuv420p
70
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
71
+ pix_fmt=yuv420p
72
+ depth_enabled: false
73
+ coordinate_definition: right-hand-frame
74
+ joint_rotation_dim: radian
75
+ end_translation_dim: meter
76
+ annotations:
77
+ - eef_acc_mag_annotation.jsonl
78
+ - eef_direction_annotation.jsonl
79
+ - eef_velocity_annotation.jsonl
80
+ - gripper_activity_annotation.jsonl
81
+ - gripper_mode_annotation.jsonl
82
+ - scene_annotations.jsonl
83
+ - subtask_annotations.jsonl
84
+ statistics:
85
+ total_episodes: 86
86
+ total_frames: 69956
87
+ fps: 30
88
+ total_tasks: 5
89
+ total_videos: 344
90
+ total_chunks: 1
91
+ chunks_size: 1000
92
+ state_dim: 28
93
+ action_dim: 28
94
+ camera_views: 4
95
+ dataset_size: 1.98 GB
96
+ frame_num: 69956
97
+ frame_range: 100K
98
+ dataset_size: 1.98 GB
99
+ data_structure: 'alpha_bot_2_pass_the_sandbag_qced_hardlink/
100
+
101
+ |-- annotations
102
+
103
+ | |-- eef_acc_mag_annotation.jsonl
104
+
105
+ | |-- eef_direction_annotation.jsonl
106
+
107
+ | |-- eef_velocity_annotation.jsonl
108
+
109
+ | |-- gripper_activity_annotation.jsonl
110
+
111
+ | |-- gripper_mode_annotation.jsonl
112
+
113
+ | |-- scene_annotations.jsonl
114
+
115
+ | `-- subtask_annotations.jsonl
116
+
117
+ |-- data
118
+
119
+ | `-- chunk-000
120
+
121
+ | |-- episode_000000.parquet
122
+
123
+ | |-- episode_000001.parquet
124
+
125
+ | |-- episode_000002.parquet
126
+
127
+ | |-- episode_000003.parquet
128
+
129
+ | |-- episode_000004.parquet
130
+
131
+ | |-- episode_000005.parquet
132
+
133
+ | |-- episode_000006.parquet
134
+
135
+ | |-- episode_000007.parquet
136
+
137
+ | |-- episode_000008.parquet
138
+
139
+ | |-- episode_000009.parquet
140
+
141
+ | |-- episode_000010.parquet
142
+
143
+ | `-- episode_000011.parquet
144
+
145
+ | `-- ... (74 more entries)
146
+
147
+ |-- meta
148
+
149
+ | |-- episodes.jsonl
150
+
151
+ | |-- episodes_stats.jsonl
152
+
153
+ | |-- info.json
154
+
155
+ | `-- tasks.jsonl
156
+
157
+ |-- videos
158
+
159
+ | `-- chunk-000
160
+
161
+ | |-- observation.images.cam_chest_rgb
162
+
163
+ | |-- observation.images.cam_head_rgb
164
+
165
+ | |-- observation.images.cam_left_wrist_rgb
166
+
167
+ | `-- observation.images.cam_right_wrist_rgb
168
+
169
+ |-- info.yaml
170
+
171
+ `-- README.md'
172
+ splits:
173
+ train: 0:85
174
+ features:
175
+ observation.images.cam_chest_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_head_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.images.cam_left_wrist_rgb:
214
+ dtype: video
215
+ shape:
216
+ - 480
217
+ - 640
218
+ - 3
219
+ names:
220
+ - height
221
+ - width
222
+ - channels
223
+ info:
224
+ video.height: 480
225
+ video.width: 640
226
+ video.codec: av1
227
+ video.pix_fmt: yuv420p
228
+ video.is_depth_map: false
229
+ video.fps: 30
230
+ video.channels: 3
231
+ has_audio: false
232
+ observation.images.cam_right_wrist_rgb:
233
+ dtype: video
234
+ shape:
235
+ - 480
236
+ - 640
237
+ - 3
238
+ names:
239
+ - height
240
+ - width
241
+ - channels
242
+ info:
243
+ video.height: 480
244
+ video.width: 640
245
+ video.codec: av1
246
+ video.pix_fmt: yuv420p
247
+ video.is_depth_map: false
248
+ video.fps: 30
249
+ video.channels: 3
250
+ has_audio: false
251
+ observation.state:
252
+ dtype: float32
253
+ shape:
254
+ - 28
255
+ names:
256
+ - left_arm_joint_1_rad
257
+ - left_arm_joint_2_rad
258
+ - left_arm_joint_3_rad
259
+ - left_arm_joint_4_rad
260
+ - left_arm_joint_5_rad
261
+ - left_arm_joint_6_rad
262
+ - left_arm_joint_7_rad
263
+ - left_eef_pos_x_m
264
+ - left_eef_pos_y_m
265
+ - left_eef_pos_z_m
266
+ - left_eef_rot_euler_x_rad
267
+ - left_eef_rot_euler_y_rad
268
+ - left_eef_rot_euler_z_rad
269
+ - right_arm_joint_1_rad
270
+ - right_arm_joint_2_rad
271
+ - right_arm_joint_3_rad
272
+ - right_arm_joint_4_rad
273
+ - right_arm_joint_5_rad
274
+ - right_arm_joint_6_rad
275
+ - right_arm_joint_7_rad
276
+ - right_eef_pos_x_m
277
+ - right_eef_pos_y_m
278
+ - right_eef_pos_z_m
279
+ - right_eef_rot_euler_x_rad
280
+ - right_eef_rot_euler_y_rad
281
+ - right_eef_rot_euler_z_rad
282
+ - left_gripper_open
283
+ - right_gripper_open
284
+ action:
285
+ dtype: float32
286
+ shape:
287
+ - 28
288
+ names:
289
+ - left_arm_joint_1_rad
290
+ - left_arm_joint_2_rad
291
+ - left_arm_joint_3_rad
292
+ - left_arm_joint_4_rad
293
+ - left_arm_joint_5_rad
294
+ - left_arm_joint_6_rad
295
+ - left_arm_joint_7_rad
296
+ - left_eef_pos_x_m
297
+ - left_eef_pos_y_m
298
+ - left_eef_pos_z_m
299
+ - left_eef_rot_euler_x_rad
300
+ - left_eef_rot_euler_y_rad
301
+ - left_eef_rot_euler_z_rad
302
+ - right_arm_joint_1_rad
303
+ - right_arm_joint_2_rad
304
+ - right_arm_joint_3_rad
305
+ - right_arm_joint_4_rad
306
+ - right_arm_joint_5_rad
307
+ - right_arm_joint_6_rad
308
+ - right_arm_joint_7_rad
309
+ - right_eef_pos_x_m
310
+ - right_eef_pos_y_m
311
+ - right_eef_pos_z_m
312
+ - right_eef_rot_euler_x_rad
313
+ - right_eef_rot_euler_y_rad
314
+ - right_eef_rot_euler_z_rad
315
+ - left_gripper_open
316
+ - right_gripper_open
317
+ timestamp:
318
+ dtype: float32
319
+ shape:
320
+ - 1
321
+ names: null
322
+ frame_index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ episode_index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ index:
333
+ dtype: int64
334
+ shape:
335
+ - 1
336
+ names: null
337
+ task_index:
338
+ dtype: int64
339
+ shape:
340
+ - 1
341
+ names: null
342
+ subtask_annotation:
343
+ names: null
344
+ dtype: int32
345
+ shape:
346
+ - 5
347
+ scene_annotation:
348
+ names: null
349
+ dtype: int32
350
+ shape:
351
+ - 1
352
+ eef_sim_pose_state:
353
+ names:
354
+ - left_eef_pos_x
355
+ - left_eef_pos_y
356
+ - left_eef_pos_z
357
+ - left_eef_ori_x
358
+ - left_eef_ori_y
359
+ - left_eef_ori_z
360
+ - right_eef_pos_x
361
+ - right_eef_pos_y
362
+ - right_eef_pos_z
363
+ - right_eef_ori_x
364
+ - right_eef_ori_y
365
+ - right_eef_ori_z
366
+ dtype: float32
367
+ shape:
368
+ - 12
369
+ eef_sim_pose_action:
370
+ names:
371
+ - left_eef_pos_x
372
+ - left_eef_pos_y
373
+ - left_eef_pos_z
374
+ - left_eef_ori_x
375
+ - left_eef_ori_y
376
+ - left_eef_ori_z
377
+ - right_eef_pos_x
378
+ - right_eef_pos_y
379
+ - right_eef_pos_z
380
+ - right_eef_ori_x
381
+ - right_eef_ori_y
382
+ - right_eef_ori_z
383
+ dtype: float32
384
+ shape:
385
+ - 12
386
+ eef_direction_state:
387
+ names:
388
+ - left_eef_direction
389
+ - right_eef_direction
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_direction_action:
394
+ names:
395
+ - left_eef_direction
396
+ - right_eef_direction
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_velocity_state:
401
+ names:
402
+ - left_eef_velocity
403
+ - right_eef_velocity
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_velocity_action:
408
+ names:
409
+ - left_eef_velocity
410
+ - right_eef_velocity
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ eef_acc_mag_state:
415
+ names:
416
+ - left_eef_acc_mag
417
+ - right_eef_acc_mag
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ eef_acc_mag_action:
422
+ names:
423
+ - left_eef_acc_mag
424
+ - right_eef_acc_mag
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_open_scale_state:
429
+ names:
430
+ - left_gripper_open_scale
431
+ - right_gripper_open_scale
432
+ dtype: float32
433
+ shape:
434
+ - 2
435
+ gripper_open_scale_action:
436
+ names:
437
+ - left_gripper_open_scale
438
+ - right_gripper_open_scale
439
+ dtype: float32
440
+ shape:
441
+ - 2
442
+ gripper_mode_state:
443
+ names:
444
+ - left_gripper_mode
445
+ - right_gripper_mode
446
+ dtype: int32
447
+ shape:
448
+ - 2
449
+ gripper_mode_action:
450
+ names:
451
+ - left_gripper_mode
452
+ - right_gripper_mode
453
+ dtype: int32
454
+ shape:
455
+ - 2
456
+ gripper_activity_state:
457
+ names:
458
+ - left_gripper_activity
459
+ - right_gripper_activity
460
+ dtype: int32
461
+ shape:
462
+ - 2
463
+ authors:
464
+ contributed_by:
465
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
466
+ dataset_description: This dataset uses an extended format based on LeRobot and is
467
+ fully compatible with LeRobot.
468
+ homepage: https://flagopen.github.io/RoboCOIN/
469
+ paper: https://arxiv.org/abs/2511.17441
470
+ repository: https://github.com/FlagOpen/RoboCOIN
471
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
472
+ us.
473
+ support_info: For technical support, please open an issue on our GitHub repository.
474
+ license_details: apache-2.0
475
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
476
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
477
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
478
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
479
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
480
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
481
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
482
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
483
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
484
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
485
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
486
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
487
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
488
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
489
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
490
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
491
+ additional_citations: 'If you use this dataset, please also consider citing:
492
+
493
+ LeRobot Framework: https://github.com/huggingface/lerobot
494
+
495
+ '
496
+ version_info: Initial Release
497
+ data_path: data/chunk-{id}/episode_{id}.parquet
498
+ video_path: videos/chunk-{id}/observation.images.cam_chest_rgb/episode_{id}.mp{id}
499
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_press_the_button_a.yaml ADDED
@@ -0,0 +1,494 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: AI2_Alphabot_2_press_the_button_a
24
+ dataset_uuid: f687e0d9-d736-45a4-89f6-ef7ff90a103a
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: water_bottle
36
+ - object_name: button
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Avoid the water bottle on the table with the gripper; press the button with the
41
+ gripper.
42
+ sub_tasks:
43
+ - subtask: End.
44
+ subtask_index: 0
45
+ - subtask: Press the button blocked by the bottle with right gripper.
46
+ subtask_index: 1
47
+ - subtask: null.
48
+ subtask_index: 2
49
+ atomic_actions:
50
+ - press
51
+ robot_name: AI2_Alphabot_2
52
+ end_effector_type: two_finger_end_effector
53
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
54
+ type information.
55
+ sensor_list:
56
+ - cam_chest_rgb
57
+ - cam_head_rgb
58
+ - cam_left_wrist_rgb
59
+ - cam_right_wrist_rgb
60
+ came_info:
61
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
62
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
63
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
64
+ pix_fmt=yuv420p
65
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
66
+ pix_fmt=yuv420p
67
+ depth_enabled: false
68
+ coordinate_definition: right-hand-frame
69
+ joint_rotation_dim: radian
70
+ end_translation_dim: meter
71
+ annotations:
72
+ - eef_acc_mag_annotation.jsonl
73
+ - eef_direction_annotation.jsonl
74
+ - eef_velocity_annotation.jsonl
75
+ - gripper_activity_annotation.jsonl
76
+ - gripper_mode_annotation.jsonl
77
+ - scene_annotations.jsonl
78
+ - subtask_annotations.jsonl
79
+ statistics:
80
+ total_episodes: 116
81
+ total_frames: 91452
82
+ fps: 30
83
+ total_tasks: 3
84
+ total_videos: 464
85
+ total_chunks: 1
86
+ chunks_size: 1000
87
+ state_dim: 28
88
+ action_dim: 28
89
+ camera_views: 4
90
+ dataset_size: 1.90 GB
91
+ frame_num: 91452
92
+ frame_range: 100K
93
+ dataset_size: 1.90 GB
94
+ data_structure: 'alpha_bot_2_press_the_button_a_qced_hardlink/
95
+
96
+ |-- annotations
97
+
98
+ | |-- eef_acc_mag_annotation.jsonl
99
+
100
+ | |-- eef_direction_annotation.jsonl
101
+
102
+ | |-- eef_velocity_annotation.jsonl
103
+
104
+ | |-- gripper_activity_annotation.jsonl
105
+
106
+ | |-- gripper_mode_annotation.jsonl
107
+
108
+ | |-- scene_annotations.jsonl
109
+
110
+ | `-- subtask_annotations.jsonl
111
+
112
+ |-- data
113
+
114
+ | `-- chunk-000
115
+
116
+ | |-- episode_000000.parquet
117
+
118
+ | |-- episode_000001.parquet
119
+
120
+ | |-- episode_000002.parquet
121
+
122
+ | |-- episode_000003.parquet
123
+
124
+ | |-- episode_000004.parquet
125
+
126
+ | |-- episode_000005.parquet
127
+
128
+ | |-- episode_000006.parquet
129
+
130
+ | |-- episode_000007.parquet
131
+
132
+ | |-- episode_000008.parquet
133
+
134
+ | |-- episode_000009.parquet
135
+
136
+ | |-- episode_000010.parquet
137
+
138
+ | `-- episode_000011.parquet
139
+
140
+ | `-- ... (104 more entries)
141
+
142
+ |-- meta
143
+
144
+ | |-- episodes.jsonl
145
+
146
+ | |-- episodes_stats.jsonl
147
+
148
+ | |-- info.json
149
+
150
+ | `-- tasks.jsonl
151
+
152
+ |-- videos
153
+
154
+ | `-- chunk-000
155
+
156
+ | |-- observation.images.cam_chest_rgb
157
+
158
+ | |-- observation.images.cam_head_rgb
159
+
160
+ | |-- observation.images.cam_left_wrist_rgb
161
+
162
+ | `-- observation.images.cam_right_wrist_rgb
163
+
164
+ |-- info.yaml
165
+
166
+ `-- README.md'
167
+ splits:
168
+ train: 0:115
169
+ features:
170
+ observation.images.cam_chest_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_head_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.images.cam_left_wrist_rgb:
209
+ dtype: video
210
+ shape:
211
+ - 480
212
+ - 640
213
+ - 3
214
+ names:
215
+ - height
216
+ - width
217
+ - channels
218
+ info:
219
+ video.height: 480
220
+ video.width: 640
221
+ video.codec: av1
222
+ video.pix_fmt: yuv420p
223
+ video.is_depth_map: false
224
+ video.fps: 30
225
+ video.channels: 3
226
+ has_audio: false
227
+ observation.images.cam_right_wrist_rgb:
228
+ dtype: video
229
+ shape:
230
+ - 480
231
+ - 640
232
+ - 3
233
+ names:
234
+ - height
235
+ - width
236
+ - channels
237
+ info:
238
+ video.height: 480
239
+ video.width: 640
240
+ video.codec: av1
241
+ video.pix_fmt: yuv420p
242
+ video.is_depth_map: false
243
+ video.fps: 30
244
+ video.channels: 3
245
+ has_audio: false
246
+ observation.state:
247
+ dtype: float32
248
+ shape:
249
+ - 28
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
+ - left_arm_joint_7_rad
258
+ - left_eef_pos_x_m
259
+ - left_eef_pos_y_m
260
+ - left_eef_pos_z_m
261
+ - left_eef_rot_euler_x_rad
262
+ - left_eef_rot_euler_y_rad
263
+ - left_eef_rot_euler_z_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
+ - right_arm_joint_7_rad
271
+ - right_eef_pos_x_m
272
+ - right_eef_pos_y_m
273
+ - right_eef_pos_z_m
274
+ - right_eef_rot_euler_x_rad
275
+ - right_eef_rot_euler_y_rad
276
+ - right_eef_rot_euler_z_rad
277
+ - left_gripper_open
278
+ - right_gripper_open
279
+ action:
280
+ dtype: float32
281
+ shape:
282
+ - 28
283
+ names:
284
+ - left_arm_joint_1_rad
285
+ - left_arm_joint_2_rad
286
+ - left_arm_joint_3_rad
287
+ - left_arm_joint_4_rad
288
+ - left_arm_joint_5_rad
289
+ - left_arm_joint_6_rad
290
+ - left_arm_joint_7_rad
291
+ - left_eef_pos_x_m
292
+ - left_eef_pos_y_m
293
+ - left_eef_pos_z_m
294
+ - left_eef_rot_euler_x_rad
295
+ - left_eef_rot_euler_y_rad
296
+ - left_eef_rot_euler_z_rad
297
+ - right_arm_joint_1_rad
298
+ - right_arm_joint_2_rad
299
+ - right_arm_joint_3_rad
300
+ - right_arm_joint_4_rad
301
+ - right_arm_joint_5_rad
302
+ - right_arm_joint_6_rad
303
+ - right_arm_joint_7_rad
304
+ - right_eef_pos_x_m
305
+ - right_eef_pos_y_m
306
+ - right_eef_pos_z_m
307
+ - right_eef_rot_euler_x_rad
308
+ - right_eef_rot_euler_y_rad
309
+ - right_eef_rot_euler_z_rad
310
+ - left_gripper_open
311
+ - right_gripper_open
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_ori_x
353
+ - left_eef_ori_y
354
+ - left_eef_ori_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_ori_x
359
+ - right_eef_ori_y
360
+ - right_eef_ori_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_ori_x
370
+ - left_eef_ori_y
371
+ - left_eef_ori_z
372
+ - right_eef_pos_x
373
+ - right_eef_pos_y
374
+ - right_eef_pos_z
375
+ - right_eef_ori_x
376
+ - right_eef_ori_y
377
+ - right_eef_ori_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_open_scale_state:
424
+ names:
425
+ - left_gripper_open_scale
426
+ - right_gripper_open_scale
427
+ dtype: float32
428
+ shape:
429
+ - 2
430
+ gripper_open_scale_action:
431
+ names:
432
+ - left_gripper_open_scale
433
+ - right_gripper_open_scale
434
+ dtype: float32
435
+ shape:
436
+ - 2
437
+ gripper_mode_state:
438
+ names:
439
+ - left_gripper_mode
440
+ - right_gripper_mode
441
+ dtype: int32
442
+ shape:
443
+ - 2
444
+ gripper_mode_action:
445
+ names:
446
+ - left_gripper_mode
447
+ - right_gripper_mode
448
+ dtype: int32
449
+ shape:
450
+ - 2
451
+ gripper_activity_state:
452
+ names:
453
+ - left_gripper_activity
454
+ - right_gripper_activity
455
+ dtype: int32
456
+ shape:
457
+ - 2
458
+ authors:
459
+ contributed_by:
460
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
461
+ dataset_description: This dataset uses an extended format based on LeRobot and is
462
+ fully compatible with LeRobot.
463
+ homepage: https://flagopen.github.io/RoboCOIN/
464
+ paper: https://arxiv.org/abs/2511.17441
465
+ repository: https://github.com/FlagOpen/RoboCOIN
466
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
467
+ us.
468
+ support_info: For technical support, please open an issue on our GitHub repository.
469
+ license_details: apache-2.0
470
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
471
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
472
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
473
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
474
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
475
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
476
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
477
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
478
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
479
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
480
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
481
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
482
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
483
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
484
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
485
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
486
+ additional_citations: 'If you use this dataset, please also consider citing:
487
+
488
+ LeRobot Framework: https://github.com/huggingface/lerobot
489
+
490
+ '
491
+ version_info: Initial Release
492
+ data_path: data/chunk-{id}/episode_{id}.parquet
493
+ video_path: videos/chunk-{id}/observation.images.cam_chest_rgb/episode_{id}.mp{id}
494
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_press_the_button_b.yaml ADDED
@@ -0,0 +1,508 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: AI2_Alphabot_2_press_the_button_b
24
+ dataset_uuid: 627d6f91-a0ba-46b7-96dd-616242c3a6af
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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: mineral_water
35
+ - object_name: button
36
+ - object_name: table
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Remove the water bottle from the table with the gripper. Press the button with the
41
+ gripper.
42
+ sub_tasks:
43
+ - subtask: Touch the bottle with left gripper.
44
+ subtask_index: 0
45
+ - subtask: End.
46
+ subtask_index: 1
47
+ - subtask: Move the bottle away with right gripper.
48
+ subtask_index: 2
49
+ - subtask: Abnormal.
50
+ subtask_index: 3
51
+ - subtask: Press the button with right gripper.
52
+ subtask_index: 4
53
+ - subtask: null.
54
+ subtask_index: 5
55
+ atomic_actions:
56
+ - press
57
+ - push
58
+ robot_name: AI2_Alphabot_2
59
+ end_effector_type: two_finger_end_effector
60
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
61
+ type information.
62
+ sensor_list:
63
+ - cam_chest_rgb
64
+ - cam_head_rgb
65
+ - cam_left_wrist_rgb
66
+ - cam_right_wrist_rgb
67
+ came_info:
68
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
69
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
70
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
71
+ pix_fmt=yuv420p
72
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
73
+ pix_fmt=yuv420p
74
+ depth_enabled: false
75
+ coordinate_definition: right-hand-frame
76
+ joint_rotation_dim: radian
77
+ end_translation_dim: meter
78
+ annotations:
79
+ - eef_acc_mag_annotation.jsonl
80
+ - eef_direction_annotation.jsonl
81
+ - eef_velocity_annotation.jsonl
82
+ - gripper_activity_annotation.jsonl
83
+ - gripper_mode_annotation.jsonl
84
+ - scene_annotations.jsonl
85
+ - subtask_annotations.jsonl
86
+ statistics:
87
+ total_episodes: 34
88
+ total_frames: 26258
89
+ fps: 30
90
+ total_tasks: 6
91
+ total_videos: 136
92
+ total_chunks: 1
93
+ chunks_size: 1000
94
+ state_dim: 28
95
+ action_dim: 28
96
+ camera_views: 4
97
+ dataset_size: 482.17 MB
98
+ frame_num: 26258
99
+ frame_range: 100K
100
+ dataset_size: 482.17 MB
101
+ data_structure: 'alpha_bot_2_press_the_button_b_qced_hardlink/
102
+
103
+ |-- annotations
104
+
105
+ | |-- eef_acc_mag_annotation.jsonl
106
+
107
+ | |-- eef_direction_annotation.jsonl
108
+
109
+ | |-- eef_velocity_annotation.jsonl
110
+
111
+ | |-- gripper_activity_annotation.jsonl
112
+
113
+ | |-- gripper_mode_annotation.jsonl
114
+
115
+ | |-- scene_annotations.jsonl
116
+
117
+ | `-- subtask_annotations.jsonl
118
+
119
+ |-- data
120
+
121
+ | `-- chunk-000
122
+
123
+ | |-- episode_000000.parquet
124
+
125
+ | |-- episode_000001.parquet
126
+
127
+ | |-- episode_000002.parquet
128
+
129
+ | |-- episode_000003.parquet
130
+
131
+ | |-- episode_000004.parquet
132
+
133
+ | |-- episode_000005.parquet
134
+
135
+ | |-- episode_000006.parquet
136
+
137
+ | |-- episode_000007.parquet
138
+
139
+ | |-- episode_000008.parquet
140
+
141
+ | |-- episode_000009.parquet
142
+
143
+ | |-- episode_000010.parquet
144
+
145
+ | `-- episode_000011.parquet
146
+
147
+ | `-- ... (22 more entries)
148
+
149
+ |-- meta
150
+
151
+ | |-- episodes.jsonl
152
+
153
+ | |-- episodes_stats.jsonl
154
+
155
+ | |-- info.json
156
+
157
+ | `-- tasks.jsonl
158
+
159
+ |-- videos
160
+
161
+ | `-- chunk-000
162
+
163
+ | |-- observation.images.cam_chest_rgb
164
+
165
+ | |-- observation.images.cam_head_rgb
166
+
167
+ | |-- observation.images.cam_left_wrist_rgb
168
+
169
+ | `-- observation.images.cam_right_wrist_rgb
170
+
171
+ |-- info.yaml
172
+
173
+ `-- README.md'
174
+ splits:
175
+ train: 0:33
176
+ features:
177
+ observation.images.cam_chest_rgb:
178
+ dtype: video
179
+ shape:
180
+ - 480
181
+ - 640
182
+ - 3
183
+ names:
184
+ - height
185
+ - width
186
+ - channels
187
+ info:
188
+ video.height: 480
189
+ video.width: 640
190
+ video.codec: av1
191
+ video.pix_fmt: yuv420p
192
+ video.is_depth_map: false
193
+ video.fps: 30
194
+ video.channels: 3
195
+ has_audio: false
196
+ observation.images.cam_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.state:
254
+ dtype: float32
255
+ shape:
256
+ - 28
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
+ - left_arm_joint_7_rad
265
+ - left_eef_pos_x_m
266
+ - left_eef_pos_y_m
267
+ - left_eef_pos_z_m
268
+ - left_eef_rot_euler_x_rad
269
+ - left_eef_rot_euler_y_rad
270
+ - left_eef_rot_euler_z_rad
271
+ - right_arm_joint_1_rad
272
+ - right_arm_joint_2_rad
273
+ - right_arm_joint_3_rad
274
+ - right_arm_joint_4_rad
275
+ - right_arm_joint_5_rad
276
+ - right_arm_joint_6_rad
277
+ - right_arm_joint_7_rad
278
+ - right_eef_pos_x_m
279
+ - right_eef_pos_y_m
280
+ - right_eef_pos_z_m
281
+ - right_eef_rot_euler_x_rad
282
+ - right_eef_rot_euler_y_rad
283
+ - right_eef_rot_euler_z_rad
284
+ - left_gripper_open
285
+ - right_gripper_open
286
+ action:
287
+ dtype: float32
288
+ shape:
289
+ - 28
290
+ names:
291
+ - left_arm_joint_1_rad
292
+ - left_arm_joint_2_rad
293
+ - left_arm_joint_3_rad
294
+ - left_arm_joint_4_rad
295
+ - left_arm_joint_5_rad
296
+ - left_arm_joint_6_rad
297
+ - left_arm_joint_7_rad
298
+ - left_eef_pos_x_m
299
+ - left_eef_pos_y_m
300
+ - left_eef_pos_z_m
301
+ - left_eef_rot_euler_x_rad
302
+ - left_eef_rot_euler_y_rad
303
+ - left_eef_rot_euler_z_rad
304
+ - right_arm_joint_1_rad
305
+ - right_arm_joint_2_rad
306
+ - right_arm_joint_3_rad
307
+ - right_arm_joint_4_rad
308
+ - right_arm_joint_5_rad
309
+ - right_arm_joint_6_rad
310
+ - right_arm_joint_7_rad
311
+ - right_eef_pos_x_m
312
+ - right_eef_pos_y_m
313
+ - right_eef_pos_z_m
314
+ - right_eef_rot_euler_x_rad
315
+ - right_eef_rot_euler_y_rad
316
+ - right_eef_rot_euler_z_rad
317
+ - left_gripper_open
318
+ - right_gripper_open
319
+ timestamp:
320
+ dtype: float32
321
+ shape:
322
+ - 1
323
+ names: null
324
+ frame_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ episode_index:
330
+ dtype: int64
331
+ shape:
332
+ - 1
333
+ names: null
334
+ index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ task_index:
340
+ dtype: int64
341
+ shape:
342
+ - 1
343
+ names: null
344
+ subtask_annotation:
345
+ names: null
346
+ shape:
347
+ - 5
348
+ dtype: int32
349
+ scene_annotation:
350
+ names: null
351
+ shape:
352
+ - 1
353
+ dtype: int32
354
+ eef_sim_pose_state:
355
+ names:
356
+ - left_eef_pos_x
357
+ - left_eef_pos_y
358
+ - left_eef_pos_z
359
+ - left_eef_ori_x
360
+ - left_eef_ori_y
361
+ - left_eef_ori_z
362
+ - right_eef_pos_x
363
+ - right_eef_pos_y
364
+ - right_eef_pos_z
365
+ - right_eef_ori_x
366
+ - right_eef_ori_y
367
+ - right_eef_ori_z
368
+ shape:
369
+ - 12
370
+ dtype: float32
371
+ eef_sim_pose_action:
372
+ names:
373
+ - left_eef_pos_x
374
+ - left_eef_pos_y
375
+ - left_eef_pos_z
376
+ - left_eef_ori_x
377
+ - left_eef_ori_y
378
+ - left_eef_ori_z
379
+ - right_eef_pos_x
380
+ - right_eef_pos_y
381
+ - right_eef_pos_z
382
+ - right_eef_ori_x
383
+ - right_eef_ori_y
384
+ - right_eef_ori_z
385
+ shape:
386
+ - 12
387
+ dtype: float32
388
+ eef_direction_state:
389
+ names:
390
+ - left_eef_direction
391
+ - right_eef_direction
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_direction_action:
396
+ names:
397
+ - left_eef_direction
398
+ - right_eef_direction
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ eef_velocity_state:
403
+ names:
404
+ - left_eef_velocity
405
+ - right_eef_velocity
406
+ shape:
407
+ - 2
408
+ dtype: int32
409
+ eef_velocity_action:
410
+ names:
411
+ - left_eef_velocity
412
+ - right_eef_velocity
413
+ shape:
414
+ - 2
415
+ dtype: int32
416
+ eef_acc_mag_state:
417
+ names:
418
+ - left_eef_acc_mag
419
+ - right_eef_acc_mag
420
+ shape:
421
+ - 2
422
+ dtype: int32
423
+ eef_acc_mag_action:
424
+ names:
425
+ - left_eef_acc_mag
426
+ - right_eef_acc_mag
427
+ shape:
428
+ - 2
429
+ dtype: int32
430
+ gripper_open_scale_state:
431
+ names:
432
+ - left_gripper_open_scale
433
+ - right_gripper_open_scale
434
+ shape:
435
+ - 2
436
+ dtype: float32
437
+ gripper_open_scale_action:
438
+ names:
439
+ - left_gripper_open_scale
440
+ - right_gripper_open_scale
441
+ shape:
442
+ - 2
443
+ dtype: float32
444
+ gripper_mode_state:
445
+ names:
446
+ - left_gripper_mode
447
+ - right_gripper_mode
448
+ shape:
449
+ - 2
450
+ dtype: int32
451
+ gripper_mode_action:
452
+ names:
453
+ - left_gripper_mode
454
+ - right_gripper_mode
455
+ shape:
456
+ - 2
457
+ dtype: int32
458
+ gripper_activity_state:
459
+ names:
460
+ - left_gripper_activity
461
+ - right_gripper_activity
462
+ shape:
463
+ - 2
464
+ dtype: int32
465
+ gripper_activity_action:
466
+ names:
467
+ - left_gripper_activity
468
+ - right_gripper_activity
469
+ shape:
470
+ - 2
471
+ dtype: int32
472
+ authors:
473
+ contributed_by:
474
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
475
+ dataset_description: This dataset uses an extended format based on LeRobot and is
476
+ fully compatible with LeRobot.
477
+ homepage: https://flagopen.github.io/RoboCOIN/
478
+ paper: https://arxiv.org/abs/2511.17441
479
+ repository: https://github.com/FlagOpen/RoboCOIN
480
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
481
+ us.
482
+ support_info: For technical support, please open an issue on our GitHub repository.
483
+ license_details: apache-2.0
484
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
485
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
486
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
487
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
488
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
489
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
490
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
491
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
492
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
493
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
494
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
495
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
496
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
497
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
498
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
499
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
500
+ additional_citations: 'If you use this dataset, please also consider citing:
501
+
502
+ LeRobot Framework: https://github.com/huggingface/lerobot
503
+
504
+ '
505
+ version_info: Initial Release
506
+ data_path: data/chunk-{id}/episode_{id}.parquet
507
+ video_path: videos/chunk-{id}/observation.images.cam_chest_rgb/episode_{id}.mp{id}
508
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_recover_after_touching_an_obstacle.yaml ADDED
@@ -0,0 +1,497 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: AI2_Alphabot_2_recover_after_touching_an_obstacle
24
+ dataset_uuid: aebc9a40-0a90-4fc3-a705-fbc5c7d23392
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: mineral_water
36
+ - object_name: button
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Return to a safe position after touching an obstacle with your arm on the white
41
+ table with the gripper.
42
+ sub_tasks:
43
+ - subtask: Touch the bottle with left gripper.
44
+ subtask_index: 0
45
+ - subtask: End.
46
+ subtask_index: 1
47
+ - subtask: Touch the bottle with right gripper.
48
+ subtask_index: 2
49
+ - subtask: null.
50
+ subtask_index: 3
51
+ atomic_actions:
52
+ - pick
53
+ - grasp
54
+ robot_name: AI2_Alphabot_2
55
+ end_effector_type: two_finger_end_effector
56
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
57
+ type information.
58
+ sensor_list:
59
+ - cam_chest_rgb
60
+ - cam_head_rgb
61
+ - cam_left_wrist_rgb
62
+ - cam_right_wrist_rgb
63
+ came_info:
64
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
65
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
66
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
67
+ pix_fmt=yuv420p
68
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
69
+ pix_fmt=yuv420p
70
+ depth_enabled: false
71
+ coordinate_definition: right-hand-frame
72
+ joint_rotation_dim: radian
73
+ end_translation_dim: meter
74
+ annotations:
75
+ - eef_acc_mag_annotation.jsonl
76
+ - eef_direction_annotation.jsonl
77
+ - eef_velocity_annotation.jsonl
78
+ - gripper_activity_annotation.jsonl
79
+ - gripper_mode_annotation.jsonl
80
+ - scene_annotations.jsonl
81
+ - subtask_annotations.jsonl
82
+ statistics:
83
+ total_episodes: 130
84
+ total_frames: 128391
85
+ fps: 30
86
+ total_tasks: 4
87
+ total_videos: 520
88
+ total_chunks: 1
89
+ chunks_size: 1000
90
+ state_dim: 28
91
+ action_dim: 28
92
+ camera_views: 4
93
+ dataset_size: 3.70 GB
94
+ frame_num: 128391
95
+ frame_range: 1M
96
+ dataset_size: 3.70 GB
97
+ data_structure: 'alpha_bot_2_recover_after_touching_an_obstacle_qced_hardlink/
98
+
99
+ |-- annotations
100
+
101
+ | |-- eef_acc_mag_annotation.jsonl
102
+
103
+ | |-- eef_direction_annotation.jsonl
104
+
105
+ | |-- eef_velocity_annotation.jsonl
106
+
107
+ | |-- gripper_activity_annotation.jsonl
108
+
109
+ | |-- gripper_mode_annotation.jsonl
110
+
111
+ | |-- scene_annotations.jsonl
112
+
113
+ | `-- subtask_annotations.jsonl
114
+
115
+ |-- data
116
+
117
+ | `-- chunk-000
118
+
119
+ | |-- episode_000000.parquet
120
+
121
+ | |-- episode_000001.parquet
122
+
123
+ | |-- episode_000002.parquet
124
+
125
+ | |-- episode_000003.parquet
126
+
127
+ | |-- episode_000004.parquet
128
+
129
+ | |-- episode_000005.parquet
130
+
131
+ | |-- episode_000006.parquet
132
+
133
+ | |-- episode_000007.parquet
134
+
135
+ | |-- episode_000008.parquet
136
+
137
+ | |-- episode_000009.parquet
138
+
139
+ | |-- episode_000010.parquet
140
+
141
+ | `-- episode_000011.parquet
142
+
143
+ | `-- ... (118 more entries)
144
+
145
+ |-- meta
146
+
147
+ | |-- episodes.jsonl
148
+
149
+ | |-- episodes_stats.jsonl
150
+
151
+ | |-- info.json
152
+
153
+ | `-- tasks.jsonl
154
+
155
+ |-- videos
156
+
157
+ | `-- chunk-000
158
+
159
+ | |-- observation.images.cam_chest_rgb
160
+
161
+ | |-- observation.images.cam_head_rgb
162
+
163
+ | |-- observation.images.cam_left_wrist_rgb
164
+
165
+ | `-- observation.images.cam_right_wrist_rgb
166
+
167
+ |-- info.yaml
168
+
169
+ `-- README.md'
170
+ splits:
171
+ train: 0:129
172
+ features:
173
+ observation.images.cam_chest_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_head_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.images.cam_left_wrist_rgb:
212
+ dtype: video
213
+ shape:
214
+ - 480
215
+ - 640
216
+ - 3
217
+ names:
218
+ - height
219
+ - width
220
+ - channels
221
+ info:
222
+ video.height: 480
223
+ video.width: 640
224
+ video.codec: av1
225
+ video.pix_fmt: yuv420p
226
+ video.is_depth_map: false
227
+ video.fps: 30
228
+ video.channels: 3
229
+ has_audio: false
230
+ observation.images.cam_right_wrist_rgb:
231
+ dtype: video
232
+ shape:
233
+ - 480
234
+ - 640
235
+ - 3
236
+ names:
237
+ - height
238
+ - width
239
+ - channels
240
+ info:
241
+ video.height: 480
242
+ video.width: 640
243
+ video.codec: av1
244
+ video.pix_fmt: yuv420p
245
+ video.is_depth_map: false
246
+ video.fps: 30
247
+ video.channels: 3
248
+ has_audio: false
249
+ observation.state:
250
+ dtype: float32
251
+ shape:
252
+ - 28
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
+ - left_arm_joint_7_rad
261
+ - left_eef_pos_x_m
262
+ - left_eef_pos_y_m
263
+ - left_eef_pos_z_m
264
+ - left_eef_rot_euler_x_rad
265
+ - left_eef_rot_euler_y_rad
266
+ - left_eef_rot_euler_z_rad
267
+ - right_arm_joint_1_rad
268
+ - right_arm_joint_2_rad
269
+ - right_arm_joint_3_rad
270
+ - right_arm_joint_4_rad
271
+ - right_arm_joint_5_rad
272
+ - right_arm_joint_6_rad
273
+ - right_arm_joint_7_rad
274
+ - right_eef_pos_x_m
275
+ - right_eef_pos_y_m
276
+ - right_eef_pos_z_m
277
+ - right_eef_rot_euler_x_rad
278
+ - right_eef_rot_euler_y_rad
279
+ - right_eef_rot_euler_z_rad
280
+ - left_gripper_open
281
+ - right_gripper_open
282
+ action:
283
+ dtype: float32
284
+ shape:
285
+ - 28
286
+ names:
287
+ - left_arm_joint_1_rad
288
+ - left_arm_joint_2_rad
289
+ - left_arm_joint_3_rad
290
+ - left_arm_joint_4_rad
291
+ - left_arm_joint_5_rad
292
+ - left_arm_joint_6_rad
293
+ - left_arm_joint_7_rad
294
+ - left_eef_pos_x_m
295
+ - left_eef_pos_y_m
296
+ - left_eef_pos_z_m
297
+ - left_eef_rot_euler_x_rad
298
+ - left_eef_rot_euler_y_rad
299
+ - left_eef_rot_euler_z_rad
300
+ - right_arm_joint_1_rad
301
+ - right_arm_joint_2_rad
302
+ - right_arm_joint_3_rad
303
+ - right_arm_joint_4_rad
304
+ - right_arm_joint_5_rad
305
+ - right_arm_joint_6_rad
306
+ - right_arm_joint_7_rad
307
+ - right_eef_pos_x_m
308
+ - right_eef_pos_y_m
309
+ - right_eef_pos_z_m
310
+ - right_eef_rot_euler_x_rad
311
+ - right_eef_rot_euler_y_rad
312
+ - right_eef_rot_euler_z_rad
313
+ - left_gripper_open
314
+ - right_gripper_open
315
+ timestamp:
316
+ dtype: float32
317
+ shape:
318
+ - 1
319
+ names: null
320
+ frame_index:
321
+ dtype: int64
322
+ shape:
323
+ - 1
324
+ names: null
325
+ episode_index:
326
+ dtype: int64
327
+ shape:
328
+ - 1
329
+ names: null
330
+ index:
331
+ dtype: int64
332
+ shape:
333
+ - 1
334
+ names: null
335
+ task_index:
336
+ dtype: int64
337
+ shape:
338
+ - 1
339
+ names: null
340
+ subtask_annotation:
341
+ names: null
342
+ dtype: int32
343
+ shape:
344
+ - 5
345
+ scene_annotation:
346
+ names: null
347
+ dtype: int32
348
+ shape:
349
+ - 1
350
+ eef_sim_pose_state:
351
+ names:
352
+ - left_eef_pos_x
353
+ - left_eef_pos_y
354
+ - left_eef_pos_z
355
+ - left_eef_ori_x
356
+ - left_eef_ori_y
357
+ - left_eef_ori_z
358
+ - right_eef_pos_x
359
+ - right_eef_pos_y
360
+ - right_eef_pos_z
361
+ - right_eef_ori_x
362
+ - right_eef_ori_y
363
+ - right_eef_ori_z
364
+ dtype: float32
365
+ shape:
366
+ - 12
367
+ eef_sim_pose_action:
368
+ names:
369
+ - left_eef_pos_x
370
+ - left_eef_pos_y
371
+ - left_eef_pos_z
372
+ - left_eef_ori_x
373
+ - left_eef_ori_y
374
+ - left_eef_ori_z
375
+ - right_eef_pos_x
376
+ - right_eef_pos_y
377
+ - right_eef_pos_z
378
+ - right_eef_ori_x
379
+ - right_eef_ori_y
380
+ - right_eef_ori_z
381
+ dtype: float32
382
+ shape:
383
+ - 12
384
+ eef_direction_state:
385
+ names:
386
+ - left_eef_direction
387
+ - right_eef_direction
388
+ dtype: int32
389
+ shape:
390
+ - 2
391
+ eef_direction_action:
392
+ names:
393
+ - left_eef_direction
394
+ - right_eef_direction
395
+ dtype: int32
396
+ shape:
397
+ - 2
398
+ eef_velocity_state:
399
+ names:
400
+ - left_eef_velocity
401
+ - right_eef_velocity
402
+ dtype: int32
403
+ shape:
404
+ - 2
405
+ eef_velocity_action:
406
+ names:
407
+ - left_eef_velocity
408
+ - right_eef_velocity
409
+ dtype: int32
410
+ shape:
411
+ - 2
412
+ eef_acc_mag_state:
413
+ names:
414
+ - left_eef_acc_mag
415
+ - right_eef_acc_mag
416
+ dtype: int32
417
+ shape:
418
+ - 2
419
+ eef_acc_mag_action:
420
+ names:
421
+ - left_eef_acc_mag
422
+ - right_eef_acc_mag
423
+ dtype: int32
424
+ shape:
425
+ - 2
426
+ gripper_open_scale_state:
427
+ names:
428
+ - left_gripper_open_scale
429
+ - right_gripper_open_scale
430
+ dtype: float32
431
+ shape:
432
+ - 2
433
+ gripper_open_scale_action:
434
+ names:
435
+ - left_gripper_open_scale
436
+ - right_gripper_open_scale
437
+ dtype: float32
438
+ shape:
439
+ - 2
440
+ gripper_mode_state:
441
+ names:
442
+ - left_gripper_mode
443
+ - right_gripper_mode
444
+ dtype: int32
445
+ shape:
446
+ - 2
447
+ gripper_mode_action:
448
+ names:
449
+ - left_gripper_mode
450
+ - right_gripper_mode
451
+ dtype: int32
452
+ shape:
453
+ - 2
454
+ gripper_activity_state:
455
+ names:
456
+ - left_gripper_activity
457
+ - right_gripper_activity
458
+ dtype: int32
459
+ shape:
460
+ - 2
461
+ authors:
462
+ contributed_by:
463
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
464
+ dataset_description: This dataset uses an extended format based on LeRobot and is
465
+ fully compatible with LeRobot.
466
+ homepage: https://flagopen.github.io/RoboCOIN/
467
+ paper: https://arxiv.org/abs/2511.17441
468
+ repository: https://github.com/FlagOpen/RoboCOIN
469
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
470
+ us.
471
+ support_info: For technical support, please open an issue on our GitHub repository.
472
+ license_details: apache-2.0
473
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
474
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
475
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
476
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
477
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
478
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
479
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
480
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
481
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
482
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
483
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
484
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
485
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
486
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
487
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
488
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
489
+ additional_citations: 'If you use this dataset, please also consider citing:
490
+
491
+ LeRobot Framework: https://github.com/huggingface/lerobot
492
+
493
+ '
494
+ version_info: Initial Release
495
+ data_path: data/chunk-{id}/episode_{id}.parquet
496
+ video_path: videos/chunk-{id}/observation.images.cam_chest_rgb/episode_{id}.mp{id}
497
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_stack_building_blocks.yaml ADDED
@@ -0,0 +1,522 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: AI2_Alphabot_2_stack_building_blocks
24
+ dataset_uuid: f7781909-81c7-40ee-98a5-67783a48dc66
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: building_blocks
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Stack the building blocks on the table with the gripper.
40
+ sub_tasks:
41
+ - subtask: Grasp the blue building block with left gripper.
42
+ subtask_index: 0
43
+ - subtask: End.
44
+ subtask_index: 1
45
+ - subtask: Place the pink building block in the center of table with left gripper.
46
+ subtask_index: 2
47
+ - subtask: Grasp the pink building block with left gripper.
48
+ subtask_index: 3
49
+ - subtask: Place the blue building block on the pink building blocks with left gripper.
50
+ subtask_index: 4
51
+ - subtask: Grasp the green building block with left gripper.
52
+ subtask_index: 5
53
+ - subtask: Place the pink building block on the blue building blocks with right gripper.
54
+ subtask_index: 6
55
+ - subtask: Place the green block on the pink block with left gripper.
56
+ subtask_index: 7
57
+ - subtask: Place the blue building block on the blue building blocks with right gripper.
58
+ subtask_index: 8
59
+ - subtask: Place the blue building block on the pink building blocks with right gripper.
60
+ subtask_index: 9
61
+ - subtask: Grasp the blue building block with right gripper.
62
+ subtask_index: 10
63
+ - subtask: Place the pink building block on the blue building blocks with left gripper.
64
+ subtask_index: 11
65
+ - subtask: Place the blue building block on the blue building blocks with left gripper.
66
+ subtask_index: 12
67
+ - subtask: Grasp the pink building block with right gripper.
68
+ subtask_index: 13
69
+ - subtask: Place the pink block on the blue block with right gripper.
70
+ subtask_index: 14
71
+ - subtask: Place the blue building block in the center of table with left gripper.
72
+ subtask_index: 15
73
+ - subtask: null.
74
+ subtask_index: 16
75
+ atomic_actions:
76
+ - grasp
77
+ - place
78
+ - pick
79
+ robot_name: AI2_Alphabot_2
80
+ end_effector_type: two_finger_end_effector
81
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
82
+ type information.
83
+ sensor_list:
84
+ - cam_chest_rgb
85
+ - cam_head_rgb
86
+ - cam_left_wrist_rgb
87
+ - cam_right_wrist_rgb
88
+ came_info:
89
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
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
+ depth_enabled: false
96
+ coordinate_definition: right-hand-frame
97
+ joint_rotation_dim: radian
98
+ end_translation_dim: meter
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: 139
109
+ total_frames: 130049
110
+ fps: 30
111
+ total_tasks: 17
112
+ total_videos: 556
113
+ total_chunks: 1
114
+ chunks_size: 1000
115
+ state_dim: 28
116
+ action_dim: 28
117
+ camera_views: 4
118
+ dataset_size: 3.44 GB
119
+ frame_num: 130049
120
+ frame_range: 1M
121
+ dataset_size: 3.44 GB
122
+ data_structure: 'alpha_bot_2_stack_building_blocks_qced_hardlink/
123
+
124
+ |-- annotations
125
+
126
+ | |-- eef_acc_mag_annotation.jsonl
127
+
128
+ | |-- eef_direction_annotation.jsonl
129
+
130
+ | |-- eef_velocity_annotation.jsonl
131
+
132
+ | |-- gripper_activity_annotation.jsonl
133
+
134
+ | |-- gripper_mode_annotation.jsonl
135
+
136
+ | |-- scene_annotations.jsonl
137
+
138
+ | `-- subtask_annotations.jsonl
139
+
140
+ |-- data
141
+
142
+ | `-- chunk-000
143
+
144
+ | |-- episode_000000.parquet
145
+
146
+ | |-- episode_000001.parquet
147
+
148
+ | |-- episode_000002.parquet
149
+
150
+ | |-- episode_000003.parquet
151
+
152
+ | |-- episode_000004.parquet
153
+
154
+ | |-- episode_000005.parquet
155
+
156
+ | |-- episode_000006.parquet
157
+
158
+ | |-- episode_000007.parquet
159
+
160
+ | |-- episode_000008.parquet
161
+
162
+ | |-- episode_000009.parquet
163
+
164
+ | |-- episode_000010.parquet
165
+
166
+ | `-- episode_000011.parquet
167
+
168
+ | `-- ... (127 more entries)
169
+
170
+ |-- meta
171
+
172
+ | |-- episodes.jsonl
173
+
174
+ | |-- episodes_stats.jsonl
175
+
176
+ | |-- info.json
177
+
178
+ | `-- tasks.jsonl
179
+
180
+ |-- videos
181
+
182
+ | `-- chunk-000
183
+
184
+ | |-- observation.images.cam_chest_rgb
185
+
186
+ | |-- observation.images.cam_head_rgb
187
+
188
+ | |-- observation.images.cam_left_wrist_rgb
189
+
190
+ | `-- observation.images.cam_right_wrist_rgb
191
+
192
+ |-- info.yaml
193
+
194
+ `-- README.md'
195
+ splits:
196
+ train: 0:138
197
+ features:
198
+ observation.images.cam_chest_rgb:
199
+ dtype: video
200
+ shape:
201
+ - 480
202
+ - 640
203
+ - 3
204
+ names:
205
+ - height
206
+ - width
207
+ - channels
208
+ info:
209
+ video.height: 480
210
+ video.width: 640
211
+ video.codec: av1
212
+ video.pix_fmt: yuv420p
213
+ video.is_depth_map: false
214
+ video.fps: 30
215
+ video.channels: 3
216
+ has_audio: false
217
+ observation.images.cam_head_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 480
221
+ - 640
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 480
229
+ video.width: 640
230
+ video.codec: av1
231
+ video.pix_fmt: yuv420p
232
+ video.is_depth_map: false
233
+ video.fps: 30
234
+ video.channels: 3
235
+ has_audio: false
236
+ observation.images.cam_left_wrist_rgb:
237
+ dtype: video
238
+ shape:
239
+ - 480
240
+ - 640
241
+ - 3
242
+ names:
243
+ - height
244
+ - width
245
+ - channels
246
+ info:
247
+ video.height: 480
248
+ video.width: 640
249
+ video.codec: av1
250
+ video.pix_fmt: yuv420p
251
+ video.is_depth_map: false
252
+ video.fps: 30
253
+ video.channels: 3
254
+ has_audio: false
255
+ observation.images.cam_right_wrist_rgb:
256
+ dtype: video
257
+ shape:
258
+ - 480
259
+ - 640
260
+ - 3
261
+ names:
262
+ - height
263
+ - width
264
+ - channels
265
+ info:
266
+ video.height: 480
267
+ video.width: 640
268
+ video.codec: av1
269
+ video.pix_fmt: yuv420p
270
+ video.is_depth_map: false
271
+ video.fps: 30
272
+ video.channels: 3
273
+ has_audio: false
274
+ observation.state:
275
+ dtype: float32
276
+ shape:
277
+ - 28
278
+ names:
279
+ - left_arm_joint_1_rad
280
+ - left_arm_joint_2_rad
281
+ - left_arm_joint_3_rad
282
+ - left_arm_joint_4_rad
283
+ - left_arm_joint_5_rad
284
+ - left_arm_joint_6_rad
285
+ - left_arm_joint_7_rad
286
+ - left_eef_pos_x_m
287
+ - left_eef_pos_y_m
288
+ - left_eef_pos_z_m
289
+ - left_eef_rot_euler_x_rad
290
+ - left_eef_rot_euler_y_rad
291
+ - left_eef_rot_euler_z_rad
292
+ - right_arm_joint_1_rad
293
+ - right_arm_joint_2_rad
294
+ - right_arm_joint_3_rad
295
+ - right_arm_joint_4_rad
296
+ - right_arm_joint_5_rad
297
+ - right_arm_joint_6_rad
298
+ - right_arm_joint_7_rad
299
+ - right_eef_pos_x_m
300
+ - right_eef_pos_y_m
301
+ - right_eef_pos_z_m
302
+ - right_eef_rot_euler_x_rad
303
+ - right_eef_rot_euler_y_rad
304
+ - right_eef_rot_euler_z_rad
305
+ - left_gripper_open
306
+ - right_gripper_open
307
+ action:
308
+ dtype: float32
309
+ shape:
310
+ - 28
311
+ names:
312
+ - left_arm_joint_1_rad
313
+ - left_arm_joint_2_rad
314
+ - left_arm_joint_3_rad
315
+ - left_arm_joint_4_rad
316
+ - left_arm_joint_5_rad
317
+ - left_arm_joint_6_rad
318
+ - left_arm_joint_7_rad
319
+ - left_eef_pos_x_m
320
+ - left_eef_pos_y_m
321
+ - left_eef_pos_z_m
322
+ - left_eef_rot_euler_x_rad
323
+ - left_eef_rot_euler_y_rad
324
+ - left_eef_rot_euler_z_rad
325
+ - right_arm_joint_1_rad
326
+ - right_arm_joint_2_rad
327
+ - right_arm_joint_3_rad
328
+ - right_arm_joint_4_rad
329
+ - right_arm_joint_5_rad
330
+ - right_arm_joint_6_rad
331
+ - right_arm_joint_7_rad
332
+ - right_eef_pos_x_m
333
+ - right_eef_pos_y_m
334
+ - right_eef_pos_z_m
335
+ - right_eef_rot_euler_x_rad
336
+ - right_eef_rot_euler_y_rad
337
+ - right_eef_rot_euler_z_rad
338
+ - left_gripper_open
339
+ - right_gripper_open
340
+ timestamp:
341
+ dtype: float32
342
+ shape:
343
+ - 1
344
+ names: null
345
+ frame_index:
346
+ dtype: int64
347
+ shape:
348
+ - 1
349
+ names: null
350
+ episode_index:
351
+ dtype: int64
352
+ shape:
353
+ - 1
354
+ names: null
355
+ index:
356
+ dtype: int64
357
+ shape:
358
+ - 1
359
+ names: null
360
+ task_index:
361
+ dtype: int64
362
+ shape:
363
+ - 1
364
+ names: null
365
+ subtask_annotation:
366
+ names: null
367
+ dtype: int32
368
+ shape:
369
+ - 5
370
+ scene_annotation:
371
+ names: null
372
+ dtype: int32
373
+ shape:
374
+ - 1
375
+ eef_sim_pose_state:
376
+ names:
377
+ - left_eef_pos_x
378
+ - left_eef_pos_y
379
+ - left_eef_pos_z
380
+ - left_eef_ori_x
381
+ - left_eef_ori_y
382
+ - left_eef_ori_z
383
+ - right_eef_pos_x
384
+ - right_eef_pos_y
385
+ - right_eef_pos_z
386
+ - right_eef_ori_x
387
+ - right_eef_ori_y
388
+ - right_eef_ori_z
389
+ dtype: float32
390
+ shape:
391
+ - 12
392
+ eef_sim_pose_action:
393
+ names:
394
+ - left_eef_pos_x
395
+ - left_eef_pos_y
396
+ - left_eef_pos_z
397
+ - left_eef_ori_x
398
+ - left_eef_ori_y
399
+ - left_eef_ori_z
400
+ - right_eef_pos_x
401
+ - right_eef_pos_y
402
+ - right_eef_pos_z
403
+ - right_eef_ori_x
404
+ - right_eef_ori_y
405
+ - right_eef_ori_z
406
+ dtype: float32
407
+ shape:
408
+ - 12
409
+ eef_direction_state:
410
+ names:
411
+ - left_eef_direction
412
+ - right_eef_direction
413
+ dtype: int32
414
+ shape:
415
+ - 2
416
+ eef_direction_action:
417
+ names:
418
+ - left_eef_direction
419
+ - right_eef_direction
420
+ dtype: int32
421
+ shape:
422
+ - 2
423
+ eef_velocity_state:
424
+ names:
425
+ - left_eef_velocity
426
+ - right_eef_velocity
427
+ dtype: int32
428
+ shape:
429
+ - 2
430
+ eef_velocity_action:
431
+ names:
432
+ - left_eef_velocity
433
+ - right_eef_velocity
434
+ dtype: int32
435
+ shape:
436
+ - 2
437
+ eef_acc_mag_state:
438
+ names:
439
+ - left_eef_acc_mag
440
+ - right_eef_acc_mag
441
+ dtype: int32
442
+ shape:
443
+ - 2
444
+ eef_acc_mag_action:
445
+ names:
446
+ - left_eef_acc_mag
447
+ - right_eef_acc_mag
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
+ gripper_mode_state:
466
+ names:
467
+ - left_gripper_mode
468
+ - right_gripper_mode
469
+ dtype: int32
470
+ shape:
471
+ - 2
472
+ gripper_mode_action:
473
+ names:
474
+ - left_gripper_mode
475
+ - right_gripper_mode
476
+ dtype: int32
477
+ shape:
478
+ - 2
479
+ gripper_activity_state:
480
+ names:
481
+ - left_gripper_activity
482
+ - right_gripper_activity
483
+ dtype: int32
484
+ shape:
485
+ - 2
486
+ authors:
487
+ contributed_by:
488
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
489
+ dataset_description: This dataset uses an extended format based on LeRobot and is
490
+ fully compatible with LeRobot.
491
+ homepage: https://flagopen.github.io/RoboCOIN/
492
+ paper: https://arxiv.org/abs/2511.17441
493
+ repository: https://github.com/FlagOpen/RoboCOIN
494
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
495
+ us.
496
+ support_info: For technical support, please open an issue on our GitHub repository.
497
+ license_details: apache-2.0
498
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
499
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
500
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
501
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
502
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
503
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
504
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
505
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
506
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
507
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
508
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
509
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
510
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
511
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
512
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
513
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
514
+ additional_citations: 'If you use this dataset, please also consider citing:
515
+
516
+ LeRobot Framework: https://github.com/huggingface/lerobot
517
+
518
+ '
519
+ version_info: Initial Release
520
+ data_path: data/chunk-{id}/episode_{id}.parquet
521
+ video_path: videos/chunk-{id}/observation.images.cam_chest_rgb/episode_{id}.mp{id}
522
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/AI2_Alphabot_2_sticker.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: AI2_Alphabot_2_sticker
24
+ dataset_uuid: 81aee7b0-84c3-4b85-9778-c5c9df188afd
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: poster
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Place the poster on the table with the hand.
40
+ sub_tasks:
41
+ - subtask: End.
42
+ subtask_index: 0
43
+ - subtask: Stick the advertisement in the top-right corner area with both grippers.
44
+ subtask_index: 1
45
+ - subtask: null.
46
+ subtask_index: 2
47
+ atomic_actions:
48
+ - grasp
49
+ - place
50
+ - pick
51
+ robot_name: AI2_Alphabot_2
52
+ end_effector_type: two_finger_end_effector
53
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
54
+ type information.
55
+ sensor_list:
56
+ - cam_chest_rgb
57
+ - cam_head_rgb
58
+ - cam_left_wrist_rgb
59
+ - cam_right_wrist_rgb
60
+ came_info:
61
+ cam_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
62
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
63
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
64
+ pix_fmt=yuv420p
65
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
66
+ pix_fmt=yuv420p
67
+ depth_enabled: false
68
+ coordinate_definition: right-hand-frame
69
+ joint_rotation_dim: radian
70
+ end_translation_dim: meter
71
+ annotations:
72
+ - eef_acc_mag_annotation.jsonl
73
+ - eef_direction_annotation.jsonl
74
+ - eef_velocity_annotation.jsonl
75
+ - gripper_activity_annotation.jsonl
76
+ - gripper_mode_annotation.jsonl
77
+ - scene_annotations.jsonl
78
+ - subtask_annotations.jsonl
79
+ statistics:
80
+ total_episodes: 93
81
+ total_frames: 97993
82
+ fps: 30
83
+ total_tasks: 3
84
+ total_videos: 372
85
+ total_chunks: 1
86
+ chunks_size: 1000
87
+ state_dim: 28
88
+ action_dim: 28
89
+ camera_views: 4
90
+ dataset_size: 1.87 GB
91
+ frame_num: 97993
92
+ frame_range: 100K
93
+ dataset_size: 1.87 GB
94
+ data_structure: 'alpha_bot_2_sticker_qced_hardlink/
95
+
96
+ |-- annotations
97
+
98
+ | |-- eef_acc_mag_annotation.jsonl
99
+
100
+ | |-- eef_direction_annotation.jsonl
101
+
102
+ | |-- eef_velocity_annotation.jsonl
103
+
104
+ | |-- gripper_activity_annotation.jsonl
105
+
106
+ | |-- gripper_mode_annotation.jsonl
107
+
108
+ | |-- scene_annotations.jsonl
109
+
110
+ | `-- subtask_annotations.jsonl
111
+
112
+ |-- data
113
+
114
+ | `-- chunk-000
115
+
116
+ | |-- episode_000000.parquet
117
+
118
+ | |-- episode_000001.parquet
119
+
120
+ | |-- episode_000002.parquet
121
+
122
+ | |-- episode_000003.parquet
123
+
124
+ | |-- episode_000004.parquet
125
+
126
+ | |-- episode_000005.parquet
127
+
128
+ | |-- episode_000006.parquet
129
+
130
+ | |-- episode_000007.parquet
131
+
132
+ | |-- episode_000008.parquet
133
+
134
+ | |-- episode_000009.parquet
135
+
136
+ | |-- episode_000010.parquet
137
+
138
+ | `-- episode_000011.parquet
139
+
140
+ | `-- ... (81 more entries)
141
+
142
+ |-- logs
143
+
144
+ | `-- collect
145
+
146
+ | `-- collect_20260521191507.log
147
+
148
+ |-- meta
149
+
150
+ | |-- episodes.jsonl
151
+
152
+ | |-- episodes_stats.jsonl
153
+
154
+ | |-- info.json
155
+
156
+ | `-- tasks.jsonl
157
+
158
+ |-- videos
159
+
160
+ | `-- chunk-000
161
+
162
+ | |-- observation.images.cam_chest_rgb
163
+
164
+ | |-- observation.images.cam_head_rgb
165
+
166
+ | |-- observation.images.cam_left_wrist_rgb
167
+
168
+ | `-- observation.images.cam_right_wrist_rgb
169
+
170
+ |-- info.yaml
171
+
172
+ `-- README.md'
173
+ splits:
174
+ train: 0:92
175
+ features:
176
+ observation.images.cam_chest_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_head_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.images.cam_left_wrist_rgb:
215
+ dtype: video
216
+ shape:
217
+ - 480
218
+ - 640
219
+ - 3
220
+ names:
221
+ - height
222
+ - width
223
+ - channels
224
+ info:
225
+ video.height: 480
226
+ video.width: 640
227
+ video.codec: av1
228
+ video.pix_fmt: yuv420p
229
+ video.is_depth_map: false
230
+ video.fps: 30
231
+ video.channels: 3
232
+ has_audio: false
233
+ observation.images.cam_right_wrist_rgb:
234
+ dtype: video
235
+ shape:
236
+ - 480
237
+ - 640
238
+ - 3
239
+ names:
240
+ - height
241
+ - width
242
+ - channels
243
+ info:
244
+ video.height: 480
245
+ video.width: 640
246
+ video.codec: av1
247
+ video.pix_fmt: yuv420p
248
+ video.is_depth_map: false
249
+ video.fps: 30
250
+ video.channels: 3
251
+ has_audio: false
252
+ observation.state:
253
+ dtype: float32
254
+ shape:
255
+ - 28
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
+ - left_arm_joint_7_rad
264
+ - left_eef_pos_x_m
265
+ - left_eef_pos_y_m
266
+ - left_eef_pos_z_m
267
+ - left_eef_rot_euler_x_rad
268
+ - left_eef_rot_euler_y_rad
269
+ - left_eef_rot_euler_z_rad
270
+ - right_arm_joint_1_rad
271
+ - right_arm_joint_2_rad
272
+ - right_arm_joint_3_rad
273
+ - right_arm_joint_4_rad
274
+ - right_arm_joint_5_rad
275
+ - right_arm_joint_6_rad
276
+ - right_arm_joint_7_rad
277
+ - right_eef_pos_x_m
278
+ - right_eef_pos_y_m
279
+ - right_eef_pos_z_m
280
+ - right_eef_rot_euler_x_rad
281
+ - right_eef_rot_euler_y_rad
282
+ - right_eef_rot_euler_z_rad
283
+ - left_gripper_open
284
+ - right_gripper_open
285
+ action:
286
+ dtype: float32
287
+ shape:
288
+ - 28
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_arm_joint_7_rad
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_arm_joint_7_rad
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
+ - left_gripper_open
317
+ - right_gripper_open
318
+ timestamp:
319
+ dtype: float32
320
+ shape:
321
+ - 1
322
+ names: null
323
+ frame_index:
324
+ dtype: int64
325
+ shape:
326
+ - 1
327
+ names: null
328
+ episode_index:
329
+ dtype: int64
330
+ shape:
331
+ - 1
332
+ names: null
333
+ index:
334
+ dtype: int64
335
+ shape:
336
+ - 1
337
+ names: null
338
+ task_index:
339
+ dtype: int64
340
+ shape:
341
+ - 1
342
+ names: null
343
+ subtask_annotation:
344
+ names: null
345
+ dtype: int32
346
+ shape:
347
+ - 5
348
+ scene_annotation:
349
+ names: null
350
+ dtype: int32
351
+ shape:
352
+ - 1
353
+ eef_sim_pose_state:
354
+ names:
355
+ - left_eef_pos_x
356
+ - left_eef_pos_y
357
+ - left_eef_pos_z
358
+ - left_eef_ori_x
359
+ - left_eef_ori_y
360
+ - left_eef_ori_z
361
+ - right_eef_pos_x
362
+ - right_eef_pos_y
363
+ - right_eef_pos_z
364
+ - right_eef_ori_x
365
+ - right_eef_ori_y
366
+ - right_eef_ori_z
367
+ dtype: float32
368
+ shape:
369
+ - 12
370
+ eef_sim_pose_action:
371
+ names:
372
+ - left_eef_pos_x
373
+ - left_eef_pos_y
374
+ - left_eef_pos_z
375
+ - left_eef_ori_x
376
+ - left_eef_ori_y
377
+ - left_eef_ori_z
378
+ - right_eef_pos_x
379
+ - right_eef_pos_y
380
+ - right_eef_pos_z
381
+ - right_eef_ori_x
382
+ - right_eef_ori_y
383
+ - right_eef_ori_z
384
+ dtype: float32
385
+ shape:
386
+ - 12
387
+ eef_direction_state:
388
+ names:
389
+ - left_eef_direction
390
+ - right_eef_direction
391
+ dtype: int32
392
+ shape:
393
+ - 2
394
+ eef_direction_action:
395
+ names:
396
+ - left_eef_direction
397
+ - right_eef_direction
398
+ dtype: int32
399
+ shape:
400
+ - 2
401
+ eef_velocity_state:
402
+ names:
403
+ - left_eef_velocity
404
+ - right_eef_velocity
405
+ dtype: int32
406
+ shape:
407
+ - 2
408
+ eef_velocity_action:
409
+ names:
410
+ - left_eef_velocity
411
+ - right_eef_velocity
412
+ dtype: int32
413
+ shape:
414
+ - 2
415
+ eef_acc_mag_state:
416
+ names:
417
+ - left_eef_acc_mag
418
+ - right_eef_acc_mag
419
+ dtype: int32
420
+ shape:
421
+ - 2
422
+ eef_acc_mag_action:
423
+ names:
424
+ - left_eef_acc_mag
425
+ - right_eef_acc_mag
426
+ dtype: int32
427
+ shape:
428
+ - 2
429
+ gripper_open_scale_state:
430
+ names:
431
+ - left_gripper_open_scale
432
+ - right_gripper_open_scale
433
+ dtype: float32
434
+ shape:
435
+ - 2
436
+ gripper_open_scale_action:
437
+ names:
438
+ - left_gripper_open_scale
439
+ - right_gripper_open_scale
440
+ dtype: float32
441
+ shape:
442
+ - 2
443
+ gripper_mode_state:
444
+ names:
445
+ - left_gripper_mode
446
+ - right_gripper_mode
447
+ dtype: int32
448
+ shape:
449
+ - 2
450
+ gripper_mode_action:
451
+ names:
452
+ - left_gripper_mode
453
+ - right_gripper_mode
454
+ dtype: int32
455
+ shape:
456
+ - 2
457
+ gripper_activity_state:
458
+ names:
459
+ - left_gripper_activity
460
+ - right_gripper_activity
461
+ dtype: int32
462
+ shape:
463
+ - 2
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_chest_rgb/episode_{id}.mp{id}
500
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_basket_storage_banana.yaml ADDED
@@ -0,0 +1,478 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basket_storage_banana
24
+ dataset_uuid: e9d8e155-1dc0-4402-b406-4b59d65884c7
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
+ - object_name: banana
36
+ - object_name: basket
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Pick up the banana with the gripper and place it into the basket.
41
+ sub_tasks:
42
+ - subtask: End.
43
+ subtask_index: 0
44
+ - subtask: Place the banana into the basket with right gripper.
45
+ subtask_index: 1
46
+ - subtask: Grasp the banana with right gripper.
47
+ subtask_index: 2
48
+ - subtask: Place the basket in the center of the table with the left gripper.
49
+ subtask_index: 3
50
+ - subtask: Grasp the basket with the left gripper.
51
+ subtask_index: 4
52
+ - subtask: Static.
53
+ subtask_index: 5
54
+ - subtask: Abnormal.
55
+ subtask_index: 6
56
+ - subtask: null.
57
+ subtask_index: 7
58
+ atomic_actions:
59
+ - grasp
60
+ - place
61
+ - pick
62
+ robot_name: Agilex_Cobot_Magic
63
+ end_effector_type: two_finger_end_effector
64
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
65
+ type information.
66
+ sensor_list:
67
+ - cam_high_rgb
68
+ - cam_left_wrist_rgb
69
+ - cam_right_wrist_rgb
70
+ came_info:
71
+ cam_high_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
72
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
73
+ pix_fmt=yuv420p
74
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
75
+ pix_fmt=yuv420p
76
+ depth_enabled: false
77
+ coordinate_definition: right-hand-frame
78
+ joint_rotation_dim: radian
79
+ end_translation_dim: meter
80
+ annotations:
81
+ - eef_acc_mag_annotation.jsonl
82
+ - eef_direction_annotation.jsonl
83
+ - eef_velocity_annotation.jsonl
84
+ - gripper_activity_annotation.jsonl
85
+ - gripper_mode_annotation.jsonl
86
+ - scene_annotations.jsonl
87
+ - subtask_annotations.jsonl
88
+ statistics:
89
+ total_episodes: 368
90
+ total_frames: 164327
91
+ fps: 30
92
+ total_tasks: 8
93
+ total_videos: 1104
94
+ total_chunks: 1
95
+ chunks_size: 1000
96
+ state_dim: 26
97
+ action_dim: 26
98
+ camera_views: 3
99
+ dataset_size: 2.81 GB
100
+ frame_num: 164327
101
+ frame_range: 1M
102
+ dataset_size: 2.81 GB
103
+ data_structure: 'Split_aloha_basket_storage_banana_qced_hardlink/
104
+
105
+ |-- annotations
106
+
107
+ | |-- eef_acc_mag_annotation.jsonl
108
+
109
+ | |-- eef_direction_annotation.jsonl
110
+
111
+ | |-- eef_velocity_annotation.jsonl
112
+
113
+ | |-- gripper_activity_annotation.jsonl
114
+
115
+ | |-- gripper_mode_annotation.jsonl
116
+
117
+ | |-- scene_annotations.jsonl
118
+
119
+ | `-- subtask_annotations.jsonl
120
+
121
+ |-- data
122
+
123
+ | `-- chunk-000
124
+
125
+ | |-- episode_000000.parquet
126
+
127
+ | |-- episode_000001.parquet
128
+
129
+ | |-- episode_000002.parquet
130
+
131
+ | |-- episode_000003.parquet
132
+
133
+ | |-- episode_000004.parquet
134
+
135
+ | |-- episode_000005.parquet
136
+
137
+ | |-- episode_000006.parquet
138
+
139
+ | |-- episode_000007.parquet
140
+
141
+ | |-- episode_000008.parquet
142
+
143
+ | |-- episode_000009.parquet
144
+
145
+ | |-- episode_000010.parquet
146
+
147
+ | `-- episode_000011.parquet
148
+
149
+ | `-- ... (356 more entries)
150
+
151
+ |-- meta
152
+
153
+ | |-- episodes.jsonl
154
+
155
+ | |-- episodes_stats.jsonl
156
+
157
+ | |-- info.json
158
+
159
+ | `-- tasks.jsonl
160
+
161
+ |-- videos
162
+
163
+ | `-- chunk-000
164
+
165
+ | |-- observation.images.cam_high_rgb
166
+
167
+ | |-- observation.images.cam_left_wrist_rgb
168
+
169
+ | `-- observation.images.cam_right_wrist_rgb
170
+
171
+ |-- info.yaml
172
+
173
+ `-- README.md'
174
+ splits:
175
+ train: 0:367
176
+ features:
177
+ observation.images.cam_high_rgb:
178
+ dtype: video
179
+ shape:
180
+ - 480
181
+ - 640
182
+ - 3
183
+ names:
184
+ - height
185
+ - width
186
+ - channels
187
+ info:
188
+ video.height: 480
189
+ video.width: 640
190
+ video.codec: av1
191
+ video.pix_fmt: yuv420p
192
+ video.is_depth_map: false
193
+ video.fps: 30
194
+ video.channels: 3
195
+ has_audio: false
196
+ observation.images.cam_left_wrist_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_right_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.state:
235
+ dtype: float32
236
+ shape:
237
+ - 26
238
+ names:
239
+ - left_arm_joint_1_rad
240
+ - left_arm_joint_2_rad
241
+ - left_arm_joint_3_rad
242
+ - left_arm_joint_4_rad
243
+ - left_arm_joint_5_rad
244
+ - left_arm_joint_6_rad
245
+ - left_gripper_open
246
+ - left_eef_pos_x_m
247
+ - left_eef_pos_y_m
248
+ - left_eef_pos_z_m
249
+ - left_eef_rot_euler_x_rad
250
+ - left_eef_rot_euler_y_rad
251
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
259
+ - right_eef_pos_x_m
260
+ - right_eef_pos_y_m
261
+ - right_eef_pos_z_m
262
+ - right_eef_rot_euler_x_rad
263
+ - right_eef_rot_euler_y_rad
264
+ - right_eef_rot_euler_z_rad
265
+ action:
266
+ dtype: float32
267
+ shape:
268
+ - 26
269
+ names:
270
+ - left_arm_joint_1_rad
271
+ - left_arm_joint_2_rad
272
+ - left_arm_joint_3_rad
273
+ - left_arm_joint_4_rad
274
+ - left_arm_joint_5_rad
275
+ - left_arm_joint_6_rad
276
+ - left_gripper_open
277
+ - left_eef_pos_x_m
278
+ - left_eef_pos_y_m
279
+ - left_eef_pos_z_m
280
+ - left_eef_rot_euler_x_rad
281
+ - left_eef_rot_euler_y_rad
282
+ - left_eef_rot_euler_z_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
+ - 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
+ 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
+ dtype: int32
324
+ shape:
325
+ - 5
326
+ scene_annotation:
327
+ names: null
328
+ dtype: int32
329
+ shape:
330
+ - 1
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_ori_x
337
+ - left_eef_ori_y
338
+ - left_eef_ori_z
339
+ - right_eef_pos_x
340
+ - right_eef_pos_y
341
+ - right_eef_pos_z
342
+ - right_eef_ori_x
343
+ - right_eef_ori_y
344
+ - right_eef_ori_z
345
+ dtype: float32
346
+ shape:
347
+ - 12
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_ori_x
354
+ - left_eef_ori_y
355
+ - left_eef_ori_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_ori_x
360
+ - right_eef_ori_y
361
+ - right_eef_ori_z
362
+ dtype: float32
363
+ shape:
364
+ - 12
365
+ eef_direction_state:
366
+ names:
367
+ - left_eef_direction
368
+ - right_eef_direction
369
+ dtype: int32
370
+ shape:
371
+ - 2
372
+ eef_direction_action:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_velocity_state:
380
+ names:
381
+ - left_eef_velocity
382
+ - right_eef_velocity
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_action:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_acc_mag_state:
394
+ names:
395
+ - left_eef_acc_mag
396
+ - right_eef_acc_mag
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_action:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ gripper_open_scale_state:
408
+ names:
409
+ - left_gripper_open_scale
410
+ - right_gripper_open_scale
411
+ dtype: float32
412
+ shape:
413
+ - 2
414
+ gripper_open_scale_action:
415
+ names:
416
+ - left_gripper_open_scale
417
+ - right_gripper_open_scale
418
+ dtype: float32
419
+ shape:
420
+ - 2
421
+ gripper_mode_state:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_mode_action:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_state:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ authors:
443
+ contributed_by:
444
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
445
+ dataset_description: This dataset uses an extended format based on LeRobot and is
446
+ fully compatible with LeRobot.
447
+ homepage: https://flagopen.github.io/RoboCOIN/
448
+ paper: https://arxiv.org/abs/2511.17441
449
+ repository: https://github.com/FlagOpen/RoboCOIN
450
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
451
+ us.
452
+ support_info: For technical support, please open an issue on our GitHub repository.
453
+ license_details: apache-2.0
454
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
455
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
456
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
457
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
458
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
459
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
460
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
461
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
462
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
463
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
464
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
465
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
466
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
467
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
468
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
469
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
470
+ additional_citations: 'If you use this dataset, please also consider citing:
471
+
472
+ LeRobot Framework: https://github.com/huggingface/lerobot
473
+
474
+ '
475
+ version_info: Initial Release
476
+ data_path: data/chunk-{id}/episode_{id}.parquet
477
+ video_path: videos/chunk-{id}/observation.images.cam_high_rgb/episode_{id}.mp{id}
478
+ video_url: videos/chunk-000/observation.images.cam_high_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_basket_storage_bread.yaml ADDED
@@ -0,0 +1,485 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basket_storage_bread
24
+ dataset_uuid: c86fb8b5-8845-4798-9c83-f3a7aec176f7
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
+ - object_name: long_bread
36
+ - object_name: basket
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Grasp the black basket with the left gripper and place it in the middle of the table.
41
+ Pick up the long bread with the right gripper and place it into the black basket.
42
+ - Grasp the black basket with the right gripper and place it in the middle of the
43
+ table. Pick up the long bread with the left gripper and place it into the black
44
+ basket.
45
+ - Grasp the yellow basket with the left gripper and place it in the middle of the
46
+ table. Pick up the long bread with the right gripper and place it into the yellow
47
+ basket.
48
+ - Grasp the yellow basket with the right gripper and place it in the middle of the
49
+ table. Pick up the long bread with the left gripper and place it into the yellow
50
+ basket.
51
+ sub_tasks:
52
+ - subtask: abnormal.
53
+ subtask_index: 0
54
+ - subtask: Pick up the bread.
55
+ subtask_index: 1
56
+ - subtask: Move the basket to the center of view.
57
+ subtask_index: 2
58
+ - subtask: place the bread into the basket.
59
+ subtask_index: 3
60
+ - subtask: null.
61
+ subtask_index: 4
62
+ atomic_actions:
63
+ - grasp
64
+ - place
65
+ - pick
66
+ robot_name: Agilex_Cobot_Magic
67
+ end_effector_type: two_finger_end_effector
68
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
69
+ type information.
70
+ sensor_list:
71
+ - cam_high_rgb
72
+ - cam_left_wrist_rgb
73
+ - cam_right_wrist_rgb
74
+ came_info:
75
+ cam_high_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p
76
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
77
+ pix_fmt=yuv420p
78
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
79
+ pix_fmt=yuv420p
80
+ depth_enabled: false
81
+ coordinate_definition: right-hand-frame
82
+ joint_rotation_dim: radian
83
+ end_translation_dim: meter
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
+ - subtasks.jsonl
93
+ statistics:
94
+ total_episodes: 497
95
+ total_frames: 211779
96
+ fps: 30
97
+ total_tasks: 5
98
+ total_videos: 1491
99
+ total_chunks: 1
100
+ chunks_size: 1000
101
+ state_dim: 26
102
+ action_dim: 26
103
+ camera_views: 3
104
+ dataset_size: 4.31 GB
105
+ frame_num: 211779
106
+ frame_range: 1M
107
+ dataset_size: 4.31 GB
108
+ data_structure: 'Split_aloha_basket_storage_bread_qced_hardlink/
109
+
110
+ |-- annotations
111
+
112
+ | |-- eef_acc_mag_annotation.jsonl
113
+
114
+ | |-- eef_direction_annotation.jsonl
115
+
116
+ | |-- eef_velocity_annotation.jsonl
117
+
118
+ | |-- gripper_activity_annotation.jsonl
119
+
120
+ | |-- gripper_mode_annotation.jsonl
121
+
122
+ | |-- scene_annotations.jsonl
123
+
124
+ | |-- subtask_annotations.jsonl
125
+
126
+ | `-- subtasks.jsonl
127
+
128
+ |-- data
129
+
130
+ | `-- chunk-000
131
+
132
+ | |-- episode_000000.parquet
133
+
134
+ | |-- episode_000001.parquet
135
+
136
+ | |-- episode_000002.parquet
137
+
138
+ | |-- episode_000003.parquet
139
+
140
+ | |-- episode_000004.parquet
141
+
142
+ | |-- episode_000005.parquet
143
+
144
+ | |-- episode_000006.parquet
145
+
146
+ | |-- episode_000007.parquet
147
+
148
+ | |-- episode_000008.parquet
149
+
150
+ | |-- episode_000009.parquet
151
+
152
+ | |-- episode_000010.parquet
153
+
154
+ | `-- episode_000011.parquet
155
+
156
+ | `-- ... (485 more entries)
157
+
158
+ |-- meta
159
+
160
+ | |-- episodes.jsonl
161
+
162
+ | |-- episodes_stats.jsonl
163
+
164
+ | |-- info.json
165
+
166
+ | `-- tasks.jsonl
167
+
168
+ |-- videos
169
+
170
+ | `-- chunk-000
171
+
172
+ | |-- observation.images.cam_high_rgb
173
+
174
+ | |-- observation.images.cam_left_wrist_rgb
175
+
176
+ | `-- observation.images.cam_right_wrist_rgb
177
+
178
+ |-- info.yaml
179
+
180
+ `-- README.md'
181
+ splits:
182
+ train: 0:496
183
+ features:
184
+ observation.images.cam_high_rgb:
185
+ dtype: video
186
+ shape:
187
+ - 720
188
+ - 1280
189
+ - 3
190
+ names:
191
+ - height
192
+ - width
193
+ - channels
194
+ info:
195
+ video.height: 720
196
+ video.width: 1280
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.images.cam_left_wrist_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_right_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.state:
242
+ dtype: float32
243
+ shape:
244
+ - 26
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
+ - left_gripper_open
253
+ - left_eef_pos_x_m
254
+ - left_eef_pos_y_m
255
+ - left_eef_pos_z_m
256
+ - left_eef_rot_euler_x_rad
257
+ - left_eef_rot_euler_y_rad
258
+ - left_eef_rot_euler_z_rad
259
+ - right_arm_joint_1_rad
260
+ - right_arm_joint_2_rad
261
+ - right_arm_joint_3_rad
262
+ - right_arm_joint_4_rad
263
+ - right_arm_joint_5_rad
264
+ - right_arm_joint_6_rad
265
+ - right_gripper_open
266
+ - right_eef_pos_x_m
267
+ - right_eef_pos_y_m
268
+ - right_eef_pos_z_m
269
+ - right_eef_rot_euler_x_rad
270
+ - right_eef_rot_euler_y_rad
271
+ - right_eef_rot_euler_z_rad
272
+ action:
273
+ dtype: float32
274
+ shape:
275
+ - 26
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
+ - left_gripper_open
284
+ - left_eef_pos_x_m
285
+ - left_eef_pos_y_m
286
+ - left_eef_pos_z_m
287
+ - left_eef_rot_euler_x_rad
288
+ - left_eef_rot_euler_y_rad
289
+ - left_eef_rot_euler_z_rad
290
+ - right_arm_joint_1_rad
291
+ - right_arm_joint_2_rad
292
+ - right_arm_joint_3_rad
293
+ - right_arm_joint_4_rad
294
+ - right_arm_joint_5_rad
295
+ - right_arm_joint_6_rad
296
+ - right_gripper_open
297
+ - right_eef_pos_x_m
298
+ - right_eef_pos_y_m
299
+ - right_eef_pos_z_m
300
+ - right_eef_rot_euler_x_rad
301
+ - right_eef_rot_euler_y_rad
302
+ - right_eef_rot_euler_z_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
+ dtype: int32
331
+ shape:
332
+ - 5
333
+ scene_annotation:
334
+ names: null
335
+ dtype: int32
336
+ shape:
337
+ - 1
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_ori_x
344
+ - left_eef_ori_y
345
+ - left_eef_ori_z
346
+ - right_eef_pos_x
347
+ - right_eef_pos_y
348
+ - right_eef_pos_z
349
+ - right_eef_ori_x
350
+ - right_eef_ori_y
351
+ - right_eef_ori_z
352
+ dtype: float32
353
+ shape:
354
+ - 12
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_ori_x
361
+ - left_eef_ori_y
362
+ - left_eef_ori_z
363
+ - right_eef_pos_x
364
+ - right_eef_pos_y
365
+ - right_eef_pos_z
366
+ - right_eef_ori_x
367
+ - right_eef_ori_y
368
+ - right_eef_ori_z
369
+ dtype: float32
370
+ shape:
371
+ - 12
372
+ eef_direction_state:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_direction_action:
380
+ names:
381
+ - left_eef_direction
382
+ - right_eef_direction
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_state:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_velocity_action:
394
+ names:
395
+ - left_eef_velocity
396
+ - right_eef_velocity
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_state:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_acc_mag_action:
408
+ names:
409
+ - left_eef_acc_mag
410
+ - right_eef_acc_mag
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ gripper_open_scale_state:
415
+ names:
416
+ - left_gripper_open_scale
417
+ - right_gripper_open_scale
418
+ dtype: float32
419
+ shape:
420
+ - 2
421
+ gripper_open_scale_action:
422
+ names:
423
+ - left_gripper_open_scale
424
+ - right_gripper_open_scale
425
+ dtype: float32
426
+ shape:
427
+ - 2
428
+ gripper_mode_state:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_mode_action:
436
+ names:
437
+ - left_gripper_mode
438
+ - right_gripper_mode
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ gripper_activity_state:
443
+ names:
444
+ - left_gripper_activity
445
+ - right_gripper_activity
446
+ dtype: int32
447
+ shape:
448
+ - 2
449
+ authors:
450
+ contributed_by:
451
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
452
+ dataset_description: This dataset uses an extended format based on LeRobot and is
453
+ fully compatible with LeRobot.
454
+ homepage: https://flagopen.github.io/RoboCOIN/
455
+ paper: https://arxiv.org/abs/2511.17441
456
+ repository: https://github.com/FlagOpen/RoboCOIN
457
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
458
+ us.
459
+ support_info: For technical support, please open an issue on our GitHub repository.
460
+ license_details: apache-2.0
461
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
462
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
463
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
464
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
465
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
466
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
467
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
468
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
469
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
470
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
471
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
472
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
473
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
474
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
475
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
476
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
477
+ additional_citations: 'If you use this dataset, please also consider citing:
478
+
479
+ LeRobot Framework: https://github.com/huggingface/lerobot
480
+
481
+ '
482
+ version_info: Initial Release
483
+ data_path: data/chunk-{id}/episode_{id}.parquet
484
+ video_path: videos/chunk-{id}/observation.images.cam_high_rgb/episode_{id}.mp{id}
485
+ video_url: videos/chunk-000/observation.images.cam_high_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_basket_storage_egg_yolk_pastry.yaml ADDED
@@ -0,0 +1,478 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basket_storage_egg_yolk_pastry
24
+ dataset_uuid: c5e8e66a-392d-4197-8236-7a50365c0ed3
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
+ - object_name: egg_yolk_pastry
36
+ - object_name: basket
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Pick up the egg yolk pastry with the gripper and place it into the basket.
41
+ sub_tasks:
42
+ - subtask: Grasp the basket with left gripper.
43
+ subtask_index: 0
44
+ - subtask: Static.
45
+ subtask_index: 1
46
+ - subtask: Grasp egg yolk pastry with right gripper.
47
+ subtask_index: 2
48
+ - subtask: End.
49
+ subtask_index: 3
50
+ - subtask: Abnormal.
51
+ subtask_index: 4
52
+ - subtask: Place the egg yolk pastry into the basket with right gripper.
53
+ subtask_index: 5
54
+ - subtask: Place the basket in the center of view with left gripper.
55
+ subtask_index: 6
56
+ - subtask: null.
57
+ subtask_index: 7
58
+ atomic_actions:
59
+ - grasp
60
+ - place
61
+ - pick
62
+ robot_name: Agilex_Cobot_Magic
63
+ end_effector_type: two_finger_end_effector
64
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
65
+ type information.
66
+ sensor_list:
67
+ - cam_high_rgb
68
+ - cam_left_wrist_rgb
69
+ - cam_right_wrist_rgb
70
+ came_info:
71
+ cam_high_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
72
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
73
+ pix_fmt=yuv420p
74
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
75
+ pix_fmt=yuv420p
76
+ depth_enabled: false
77
+ coordinate_definition: right-hand-frame
78
+ joint_rotation_dim: radian
79
+ end_translation_dim: meter
80
+ annotations:
81
+ - eef_acc_mag_annotation.jsonl
82
+ - eef_direction_annotation.jsonl
83
+ - eef_velocity_annotation.jsonl
84
+ - gripper_activity_annotation.jsonl
85
+ - gripper_mode_annotation.jsonl
86
+ - scene_annotations.jsonl
87
+ - subtask_annotations.jsonl
88
+ statistics:
89
+ total_episodes: 629
90
+ total_frames: 254419
91
+ fps: 30
92
+ total_tasks: 8
93
+ total_videos: 1887
94
+ total_chunks: 1
95
+ chunks_size: 1000
96
+ state_dim: 26
97
+ action_dim: 26
98
+ camera_views: 3
99
+ dataset_size: 6.67 GB
100
+ frame_num: 254419
101
+ frame_range: 1M
102
+ dataset_size: 6.67 GB
103
+ data_structure: 'Split_aloha_basket_storage_egg_yolk_pastry_qced_hardlink/
104
+
105
+ |-- annotations
106
+
107
+ | |-- eef_acc_mag_annotation.jsonl
108
+
109
+ | |-- eef_direction_annotation.jsonl
110
+
111
+ | |-- eef_velocity_annotation.jsonl
112
+
113
+ | |-- gripper_activity_annotation.jsonl
114
+
115
+ | |-- gripper_mode_annotation.jsonl
116
+
117
+ | |-- scene_annotations.jsonl
118
+
119
+ | `-- subtask_annotations.jsonl
120
+
121
+ |-- data
122
+
123
+ | `-- chunk-000
124
+
125
+ | |-- episode_000000.parquet
126
+
127
+ | |-- episode_000001.parquet
128
+
129
+ | |-- episode_000002.parquet
130
+
131
+ | |-- episode_000003.parquet
132
+
133
+ | |-- episode_000004.parquet
134
+
135
+ | |-- episode_000005.parquet
136
+
137
+ | |-- episode_000006.parquet
138
+
139
+ | |-- episode_000007.parquet
140
+
141
+ | |-- episode_000008.parquet
142
+
143
+ | |-- episode_000009.parquet
144
+
145
+ | |-- episode_000010.parquet
146
+
147
+ | `-- episode_000011.parquet
148
+
149
+ | `-- ... (617 more entries)
150
+
151
+ |-- meta
152
+
153
+ | |-- episodes.jsonl
154
+
155
+ | |-- episodes_stats.jsonl
156
+
157
+ | |-- info.json
158
+
159
+ | `-- tasks.jsonl
160
+
161
+ |-- videos
162
+
163
+ | `-- chunk-000
164
+
165
+ | |-- observation.images.cam_high_rgb
166
+
167
+ | |-- observation.images.cam_left_wrist_rgb
168
+
169
+ | `-- observation.images.cam_right_wrist_rgb
170
+
171
+ |-- info.yaml
172
+
173
+ `-- README.md'
174
+ splits:
175
+ train: 0:628
176
+ features:
177
+ observation.images.cam_high_rgb:
178
+ dtype: video
179
+ shape:
180
+ - 480
181
+ - 640
182
+ - 3
183
+ names:
184
+ - height
185
+ - width
186
+ - channels
187
+ info:
188
+ video.height: 480
189
+ video.width: 640
190
+ video.codec: av1
191
+ video.pix_fmt: yuv420p
192
+ video.is_depth_map: false
193
+ video.fps: 30
194
+ video.channels: 3
195
+ has_audio: false
196
+ observation.images.cam_left_wrist_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_right_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.state:
235
+ dtype: float32
236
+ shape:
237
+ - 26
238
+ names:
239
+ - left_arm_joint_1_rad
240
+ - left_arm_joint_2_rad
241
+ - left_arm_joint_3_rad
242
+ - left_arm_joint_4_rad
243
+ - left_arm_joint_5_rad
244
+ - left_arm_joint_6_rad
245
+ - left_gripper_open
246
+ - left_eef_pos_x_m
247
+ - left_eef_pos_y_m
248
+ - left_eef_pos_z_m
249
+ - left_eef_rot_euler_x_rad
250
+ - left_eef_rot_euler_y_rad
251
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
259
+ - right_eef_pos_x_m
260
+ - right_eef_pos_y_m
261
+ - right_eef_pos_z_m
262
+ - right_eef_rot_euler_x_rad
263
+ - right_eef_rot_euler_y_rad
264
+ - right_eef_rot_euler_z_rad
265
+ action:
266
+ dtype: float32
267
+ shape:
268
+ - 26
269
+ names:
270
+ - left_arm_joint_1_rad
271
+ - left_arm_joint_2_rad
272
+ - left_arm_joint_3_rad
273
+ - left_arm_joint_4_rad
274
+ - left_arm_joint_5_rad
275
+ - left_arm_joint_6_rad
276
+ - left_gripper_open
277
+ - left_eef_pos_x_m
278
+ - left_eef_pos_y_m
279
+ - left_eef_pos_z_m
280
+ - left_eef_rot_euler_x_rad
281
+ - left_eef_rot_euler_y_rad
282
+ - left_eef_rot_euler_z_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
+ - 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
+ 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
+ dtype: int32
324
+ shape:
325
+ - 5
326
+ scene_annotation:
327
+ names: null
328
+ dtype: int32
329
+ shape:
330
+ - 1
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_ori_x
337
+ - left_eef_ori_y
338
+ - left_eef_ori_z
339
+ - right_eef_pos_x
340
+ - right_eef_pos_y
341
+ - right_eef_pos_z
342
+ - right_eef_ori_x
343
+ - right_eef_ori_y
344
+ - right_eef_ori_z
345
+ dtype: float32
346
+ shape:
347
+ - 12
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_ori_x
354
+ - left_eef_ori_y
355
+ - left_eef_ori_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_ori_x
360
+ - right_eef_ori_y
361
+ - right_eef_ori_z
362
+ dtype: float32
363
+ shape:
364
+ - 12
365
+ eef_direction_state:
366
+ names:
367
+ - left_eef_direction
368
+ - right_eef_direction
369
+ dtype: int32
370
+ shape:
371
+ - 2
372
+ eef_direction_action:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_velocity_state:
380
+ names:
381
+ - left_eef_velocity
382
+ - right_eef_velocity
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_action:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_acc_mag_state:
394
+ names:
395
+ - left_eef_acc_mag
396
+ - right_eef_acc_mag
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_action:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ gripper_open_scale_state:
408
+ names:
409
+ - left_gripper_open_scale
410
+ - right_gripper_open_scale
411
+ dtype: float32
412
+ shape:
413
+ - 2
414
+ gripper_open_scale_action:
415
+ names:
416
+ - left_gripper_open_scale
417
+ - right_gripper_open_scale
418
+ dtype: float32
419
+ shape:
420
+ - 2
421
+ gripper_mode_state:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_mode_action:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_state:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ authors:
443
+ contributed_by:
444
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
445
+ dataset_description: This dataset uses an extended format based on LeRobot and is
446
+ fully compatible with LeRobot.
447
+ homepage: https://flagopen.github.io/RoboCOIN/
448
+ paper: https://arxiv.org/abs/2511.17441
449
+ repository: https://github.com/FlagOpen/RoboCOIN
450
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
451
+ us.
452
+ support_info: For technical support, please open an issue on our GitHub repository.
453
+ license_details: apache-2.0
454
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
455
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
456
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
457
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
458
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
459
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
460
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
461
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
462
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
463
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
464
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
465
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
466
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
467
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
468
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
469
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
470
+ additional_citations: 'If you use this dataset, please also consider citing:
471
+
472
+ LeRobot Framework: https://github.com/huggingface/lerobot
473
+
474
+ '
475
+ version_info: Initial Release
476
+ data_path: data/chunk-{id}/episode_{id}.parquet
477
+ video_path: videos/chunk-{id}/observation.images.cam_high_rgb/episode_{id}.mp{id}
478
+ video_url: videos/chunk-000/observation.images.cam_high_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_basket_storage_long_bread.yaml ADDED
@@ -0,0 +1,478 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basket_storage_long_bread
24
+ dataset_uuid: 3edf5fc6-ba54-4b74-901e-ac0b49ed35b3
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
+ - object_name: long_bread
36
+ - object_name: basket
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Pick up the long bread with the gripper and place it into the basket.
41
+ sub_tasks:
42
+ - subtask: Grasp the long bread with right gripper.
43
+ subtask_index: 0
44
+ - subtask: Grasp the basket with the left gripper.
45
+ subtask_index: 1
46
+ - subtask: End.
47
+ subtask_index: 2
48
+ - subtask: Place the long bread into the basket with right gripper.
49
+ subtask_index: 3
50
+ - subtask: Place the basket in the center of the table with the left gripper.
51
+ subtask_index: 4
52
+ - subtask: Abnormal.
53
+ subtask_index: 5
54
+ - subtask: Static.
55
+ subtask_index: 6
56
+ - subtask: null.
57
+ subtask_index: 7
58
+ atomic_actions:
59
+ - grasp
60
+ - place
61
+ - pick
62
+ robot_name: Agilex_Cobot_Magic
63
+ end_effector_type: two_finger_end_effector
64
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
65
+ type information.
66
+ sensor_list:
67
+ - cam_high_rgb
68
+ - cam_left_wrist_rgb
69
+ - cam_right_wrist_rgb
70
+ came_info:
71
+ cam_high_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
72
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
73
+ pix_fmt=yuv420p
74
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
75
+ pix_fmt=yuv420p
76
+ depth_enabled: false
77
+ coordinate_definition: right-hand-frame
78
+ joint_rotation_dim: radian
79
+ end_translation_dim: meter
80
+ annotations:
81
+ - eef_acc_mag_annotation.jsonl
82
+ - eef_direction_annotation.jsonl
83
+ - eef_velocity_annotation.jsonl
84
+ - gripper_activity_annotation.jsonl
85
+ - gripper_mode_annotation.jsonl
86
+ - scene_annotations.jsonl
87
+ - subtask_annotations.jsonl
88
+ statistics:
89
+ total_episodes: 311
90
+ total_frames: 129236
91
+ fps: 30
92
+ total_tasks: 8
93
+ total_videos: 933
94
+ total_chunks: 1
95
+ chunks_size: 1000
96
+ state_dim: 26
97
+ action_dim: 26
98
+ camera_views: 3
99
+ dataset_size: 3.67 GB
100
+ frame_num: 129236
101
+ frame_range: 1M
102
+ dataset_size: 3.67 GB
103
+ data_structure: 'Split_aloha_basket_storage_long_bread_qced_hardlink/
104
+
105
+ |-- annotations
106
+
107
+ | |-- eef_acc_mag_annotation.jsonl
108
+
109
+ | |-- eef_direction_annotation.jsonl
110
+
111
+ | |-- eef_velocity_annotation.jsonl
112
+
113
+ | |-- gripper_activity_annotation.jsonl
114
+
115
+ | |-- gripper_mode_annotation.jsonl
116
+
117
+ | |-- scene_annotations.jsonl
118
+
119
+ | `-- subtask_annotations.jsonl
120
+
121
+ |-- data
122
+
123
+ | `-- chunk-000
124
+
125
+ | |-- episode_000000.parquet
126
+
127
+ | |-- episode_000001.parquet
128
+
129
+ | |-- episode_000002.parquet
130
+
131
+ | |-- episode_000003.parquet
132
+
133
+ | |-- episode_000004.parquet
134
+
135
+ | |-- episode_000005.parquet
136
+
137
+ | |-- episode_000006.parquet
138
+
139
+ | |-- episode_000007.parquet
140
+
141
+ | |-- episode_000008.parquet
142
+
143
+ | |-- episode_000009.parquet
144
+
145
+ | |-- episode_000010.parquet
146
+
147
+ | `-- episode_000011.parquet
148
+
149
+ | `-- ... (299 more entries)
150
+
151
+ |-- meta
152
+
153
+ | |-- episodes.jsonl
154
+
155
+ | |-- episodes_stats.jsonl
156
+
157
+ | |-- info.json
158
+
159
+ | `-- tasks.jsonl
160
+
161
+ |-- videos
162
+
163
+ | `-- chunk-000
164
+
165
+ | |-- observation.images.cam_high_rgb
166
+
167
+ | |-- observation.images.cam_left_wrist_rgb
168
+
169
+ | `-- observation.images.cam_right_wrist_rgb
170
+
171
+ |-- info.yaml
172
+
173
+ `-- README.md'
174
+ splits:
175
+ train: 0:310
176
+ features:
177
+ observation.images.cam_high_rgb:
178
+ dtype: video
179
+ shape:
180
+ - 480
181
+ - 640
182
+ - 3
183
+ names:
184
+ - height
185
+ - width
186
+ - channels
187
+ info:
188
+ video.height: 480
189
+ video.width: 640
190
+ video.codec: av1
191
+ video.pix_fmt: yuv420p
192
+ video.is_depth_map: false
193
+ video.fps: 30
194
+ video.channels: 3
195
+ has_audio: false
196
+ observation.images.cam_left_wrist_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_right_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.state:
235
+ dtype: float32
236
+ shape:
237
+ - 26
238
+ names:
239
+ - left_arm_joint_1_rad
240
+ - left_arm_joint_2_rad
241
+ - left_arm_joint_3_rad
242
+ - left_arm_joint_4_rad
243
+ - left_arm_joint_5_rad
244
+ - left_arm_joint_6_rad
245
+ - left_gripper_open
246
+ - left_eef_pos_x_m
247
+ - left_eef_pos_y_m
248
+ - left_eef_pos_z_m
249
+ - left_eef_rot_euler_x_rad
250
+ - left_eef_rot_euler_y_rad
251
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
259
+ - right_eef_pos_x_m
260
+ - right_eef_pos_y_m
261
+ - right_eef_pos_z_m
262
+ - right_eef_rot_euler_x_rad
263
+ - right_eef_rot_euler_y_rad
264
+ - right_eef_rot_euler_z_rad
265
+ action:
266
+ dtype: float32
267
+ shape:
268
+ - 26
269
+ names:
270
+ - left_arm_joint_1_rad
271
+ - left_arm_joint_2_rad
272
+ - left_arm_joint_3_rad
273
+ - left_arm_joint_4_rad
274
+ - left_arm_joint_5_rad
275
+ - left_arm_joint_6_rad
276
+ - left_gripper_open
277
+ - left_eef_pos_x_m
278
+ - left_eef_pos_y_m
279
+ - left_eef_pos_z_m
280
+ - left_eef_rot_euler_x_rad
281
+ - left_eef_rot_euler_y_rad
282
+ - left_eef_rot_euler_z_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
+ - 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
+ 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
+ dtype: int32
324
+ shape:
325
+ - 5
326
+ scene_annotation:
327
+ names: null
328
+ dtype: int32
329
+ shape:
330
+ - 1
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_ori_x
337
+ - left_eef_ori_y
338
+ - left_eef_ori_z
339
+ - right_eef_pos_x
340
+ - right_eef_pos_y
341
+ - right_eef_pos_z
342
+ - right_eef_ori_x
343
+ - right_eef_ori_y
344
+ - right_eef_ori_z
345
+ dtype: float32
346
+ shape:
347
+ - 12
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_ori_x
354
+ - left_eef_ori_y
355
+ - left_eef_ori_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_ori_x
360
+ - right_eef_ori_y
361
+ - right_eef_ori_z
362
+ dtype: float32
363
+ shape:
364
+ - 12
365
+ eef_direction_state:
366
+ names:
367
+ - left_eef_direction
368
+ - right_eef_direction
369
+ dtype: int32
370
+ shape:
371
+ - 2
372
+ eef_direction_action:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_velocity_state:
380
+ names:
381
+ - left_eef_velocity
382
+ - right_eef_velocity
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_action:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_acc_mag_state:
394
+ names:
395
+ - left_eef_acc_mag
396
+ - right_eef_acc_mag
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_action:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ gripper_open_scale_state:
408
+ names:
409
+ - left_gripper_open_scale
410
+ - right_gripper_open_scale
411
+ dtype: float32
412
+ shape:
413
+ - 2
414
+ gripper_open_scale_action:
415
+ names:
416
+ - left_gripper_open_scale
417
+ - right_gripper_open_scale
418
+ dtype: float32
419
+ shape:
420
+ - 2
421
+ gripper_mode_state:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_mode_action:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_state:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ authors:
443
+ contributed_by:
444
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
445
+ dataset_description: This dataset uses an extended format based on LeRobot and is
446
+ fully compatible with LeRobot.
447
+ homepage: https://flagopen.github.io/RoboCOIN/
448
+ paper: https://arxiv.org/abs/2511.17441
449
+ repository: https://github.com/FlagOpen/RoboCOIN
450
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
451
+ us.
452
+ support_info: For technical support, please open an issue on our GitHub repository.
453
+ license_details: apache-2.0
454
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
455
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
456
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
457
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
458
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
459
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
460
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
461
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
462
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
463
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
464
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
465
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
466
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
467
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
468
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
469
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
470
+ additional_citations: 'If you use this dataset, please also consider citing:
471
+
472
+ LeRobot Framework: https://github.com/huggingface/lerobot
473
+
474
+ '
475
+ version_info: Initial Release
476
+ data_path: data/chunk-{id}/episode_{id}.parquet
477
+ video_path: videos/chunk-{id}/observation.images.cam_high_rgb/episode_{id}.mp{id}
478
+ video_url: videos/chunk-000/observation.images.cam_high_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_basket_storage_orange.yaml ADDED
@@ -0,0 +1,478 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basket_storage_orange
24
+ dataset_uuid: f478bc5f-0850-4241-9c9b-cea1674f8e67
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
+ - object_name: orange
36
+ - object_name: basket
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Pick up the orange with the gripper and place it into the basket.
41
+ sub_tasks:
42
+ - subtask: Place the basket in the center of view with left gripper.
43
+ subtask_index: 0
44
+ - subtask: Place the orange into the basket with right gripper.
45
+ subtask_index: 1
46
+ - subtask: Grasp the orange with right gripper.
47
+ subtask_index: 2
48
+ - subtask: Grasp the basket with left gripper.
49
+ subtask_index: 3
50
+ - subtask: End.
51
+ subtask_index: 4
52
+ - subtask: Abnormal.
53
+ subtask_index: 5
54
+ - subtask: Static.
55
+ subtask_index: 6
56
+ - subtask: null.
57
+ subtask_index: 7
58
+ atomic_actions:
59
+ - grasp
60
+ - place
61
+ - pick
62
+ robot_name: Agilex_Cobot_Magic
63
+ end_effector_type: two_finger_end_effector
64
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
65
+ type information.
66
+ sensor_list:
67
+ - cam_high_rgb
68
+ - cam_left_wrist_rgb
69
+ - cam_right_wrist_rgb
70
+ came_info:
71
+ cam_high_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
72
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
73
+ pix_fmt=yuv420p
74
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
75
+ pix_fmt=yuv420p
76
+ depth_enabled: false
77
+ coordinate_definition: right-hand-frame
78
+ joint_rotation_dim: radian
79
+ end_translation_dim: meter
80
+ annotations:
81
+ - eef_acc_mag_annotation.jsonl
82
+ - eef_direction_annotation.jsonl
83
+ - eef_velocity_annotation.jsonl
84
+ - gripper_activity_annotation.jsonl
85
+ - gripper_mode_annotation.jsonl
86
+ - scene_annotations.jsonl
87
+ - subtask_annotations.jsonl
88
+ statistics:
89
+ total_episodes: 642
90
+ total_frames: 293847
91
+ fps: 30
92
+ total_tasks: 8
93
+ total_videos: 1926
94
+ total_chunks: 1
95
+ chunks_size: 1000
96
+ state_dim: 26
97
+ action_dim: 26
98
+ camera_views: 3
99
+ dataset_size: 6.06 GB
100
+ frame_num: 293847
101
+ frame_range: 1M
102
+ dataset_size: 6.06 GB
103
+ data_structure: 'Split_aloha_basket_storage_orange_qced_hardlink/
104
+
105
+ |-- annotations
106
+
107
+ | |-- eef_acc_mag_annotation.jsonl
108
+
109
+ | |-- eef_direction_annotation.jsonl
110
+
111
+ | |-- eef_velocity_annotation.jsonl
112
+
113
+ | |-- gripper_activity_annotation.jsonl
114
+
115
+ | |-- gripper_mode_annotation.jsonl
116
+
117
+ | |-- scene_annotations.jsonl
118
+
119
+ | `-- subtask_annotations.jsonl
120
+
121
+ |-- data
122
+
123
+ | `-- chunk-000
124
+
125
+ | |-- episode_000000.parquet
126
+
127
+ | |-- episode_000001.parquet
128
+
129
+ | |-- episode_000002.parquet
130
+
131
+ | |-- episode_000003.parquet
132
+
133
+ | |-- episode_000004.parquet
134
+
135
+ | |-- episode_000005.parquet
136
+
137
+ | |-- episode_000006.parquet
138
+
139
+ | |-- episode_000007.parquet
140
+
141
+ | |-- episode_000008.parquet
142
+
143
+ | |-- episode_000009.parquet
144
+
145
+ | |-- episode_000010.parquet
146
+
147
+ | `-- episode_000011.parquet
148
+
149
+ | `-- ... (630 more entries)
150
+
151
+ |-- meta
152
+
153
+ | |-- episodes.jsonl
154
+
155
+ | |-- episodes_stats.jsonl
156
+
157
+ | |-- info.json
158
+
159
+ | `-- tasks.jsonl
160
+
161
+ |-- videos
162
+
163
+ | `-- chunk-000
164
+
165
+ | |-- observation.images.cam_high_rgb
166
+
167
+ | |-- observation.images.cam_left_wrist_rgb
168
+
169
+ | `-- observation.images.cam_right_wrist_rgb
170
+
171
+ |-- info.yaml
172
+
173
+ `-- README.md'
174
+ splits:
175
+ train: 0:641
176
+ features:
177
+ observation.images.cam_high_rgb:
178
+ dtype: video
179
+ shape:
180
+ - 480
181
+ - 640
182
+ - 3
183
+ names:
184
+ - height
185
+ - width
186
+ - channels
187
+ info:
188
+ video.height: 480
189
+ video.width: 640
190
+ video.codec: av1
191
+ video.pix_fmt: yuv420p
192
+ video.is_depth_map: false
193
+ video.fps: 30
194
+ video.channels: 3
195
+ has_audio: false
196
+ observation.images.cam_left_wrist_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_right_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.state:
235
+ dtype: float32
236
+ shape:
237
+ - 26
238
+ names:
239
+ - left_arm_joint_1_rad
240
+ - left_arm_joint_2_rad
241
+ - left_arm_joint_3_rad
242
+ - left_arm_joint_4_rad
243
+ - left_arm_joint_5_rad
244
+ - left_arm_joint_6_rad
245
+ - left_gripper_open
246
+ - left_eef_pos_x_m
247
+ - left_eef_pos_y_m
248
+ - left_eef_pos_z_m
249
+ - left_eef_rot_euler_x_rad
250
+ - left_eef_rot_euler_y_rad
251
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
259
+ - right_eef_pos_x_m
260
+ - right_eef_pos_y_m
261
+ - right_eef_pos_z_m
262
+ - right_eef_rot_euler_x_rad
263
+ - right_eef_rot_euler_y_rad
264
+ - right_eef_rot_euler_z_rad
265
+ action:
266
+ dtype: float32
267
+ shape:
268
+ - 26
269
+ names:
270
+ - left_arm_joint_1_rad
271
+ - left_arm_joint_2_rad
272
+ - left_arm_joint_3_rad
273
+ - left_arm_joint_4_rad
274
+ - left_arm_joint_5_rad
275
+ - left_arm_joint_6_rad
276
+ - left_gripper_open
277
+ - left_eef_pos_x_m
278
+ - left_eef_pos_y_m
279
+ - left_eef_pos_z_m
280
+ - left_eef_rot_euler_x_rad
281
+ - left_eef_rot_euler_y_rad
282
+ - left_eef_rot_euler_z_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
+ - 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
+ 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
+ dtype: int32
324
+ shape:
325
+ - 5
326
+ scene_annotation:
327
+ names: null
328
+ dtype: int32
329
+ shape:
330
+ - 1
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_ori_x
337
+ - left_eef_ori_y
338
+ - left_eef_ori_z
339
+ - right_eef_pos_x
340
+ - right_eef_pos_y
341
+ - right_eef_pos_z
342
+ - right_eef_ori_x
343
+ - right_eef_ori_y
344
+ - right_eef_ori_z
345
+ dtype: float32
346
+ shape:
347
+ - 12
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_ori_x
354
+ - left_eef_ori_y
355
+ - left_eef_ori_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_ori_x
360
+ - right_eef_ori_y
361
+ - right_eef_ori_z
362
+ dtype: float32
363
+ shape:
364
+ - 12
365
+ eef_direction_state:
366
+ names:
367
+ - left_eef_direction
368
+ - right_eef_direction
369
+ dtype: int32
370
+ shape:
371
+ - 2
372
+ eef_direction_action:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_velocity_state:
380
+ names:
381
+ - left_eef_velocity
382
+ - right_eef_velocity
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_action:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_acc_mag_state:
394
+ names:
395
+ - left_eef_acc_mag
396
+ - right_eef_acc_mag
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_action:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ gripper_open_scale_state:
408
+ names:
409
+ - left_gripper_open_scale
410
+ - right_gripper_open_scale
411
+ dtype: float32
412
+ shape:
413
+ - 2
414
+ gripper_open_scale_action:
415
+ names:
416
+ - left_gripper_open_scale
417
+ - right_gripper_open_scale
418
+ dtype: float32
419
+ shape:
420
+ - 2
421
+ gripper_mode_state:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_mode_action:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_state:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ authors:
443
+ contributed_by:
444
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
445
+ dataset_description: This dataset uses an extended format based on LeRobot and is
446
+ fully compatible with LeRobot.
447
+ homepage: https://flagopen.github.io/RoboCOIN/
448
+ paper: https://arxiv.org/abs/2511.17441
449
+ repository: https://github.com/FlagOpen/RoboCOIN
450
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
451
+ us.
452
+ support_info: For technical support, please open an issue on our GitHub repository.
453
+ license_details: apache-2.0
454
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
455
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
456
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
457
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
458
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
459
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
460
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
461
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
462
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
463
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
464
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
465
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
466
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
467
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
468
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
469
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
470
+ additional_citations: 'If you use this dataset, please also consider citing:
471
+
472
+ LeRobot Framework: https://github.com/huggingface/lerobot
473
+
474
+ '
475
+ version_info: Initial Release
476
+ data_path: data/chunk-{id}/episode_{id}.parquet
477
+ video_path: videos/chunk-{id}/observation.images.cam_high_rgb/episode_{id}.mp{id}
478
+ video_url: videos/chunk-000/observation.images.cam_high_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_basket_storage_peach.yaml ADDED
@@ -0,0 +1,486 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basket_storage_peach
24
+ dataset_uuid: aa4c76bf-e637-4da0-a962-fc0c3caea73c
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
+ - object_name: peach
36
+ - object_name: basket
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Pick up the peach with the gripper and place it into the basket with the gripper.
41
+ sub_tasks:
42
+ - subtask: Pick up the peach.
43
+ subtask_index: 0
44
+ - subtask: Place the peach into the basket with right gripper.
45
+ subtask_index: 1
46
+ - subtask: place the peach into the basket.
47
+ subtask_index: 2
48
+ - subtask: Static.
49
+ subtask_index: 3
50
+ - subtask: Move the basket to the center of view.
51
+ subtask_index: 4
52
+ - subtask: Grasp the peach with right gripper.
53
+ subtask_index: 5
54
+ - subtask: Grasp the basket with left gripper.
55
+ subtask_index: 6
56
+ - subtask: Place the basket in the center of view with left gripper.
57
+ subtask_index: 7
58
+ - subtask: Abnormal.
59
+ subtask_index: 8
60
+ - subtask: End.
61
+ subtask_index: 9
62
+ - subtask: abnormal.
63
+ subtask_index: 10
64
+ - subtask: null.
65
+ subtask_index: 11
66
+ atomic_actions:
67
+ - grasp
68
+ - place
69
+ - pick
70
+ robot_name: Agilex_Cobot_Magic
71
+ end_effector_type: two_finger_end_effector
72
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
73
+ type information.
74
+ sensor_list:
75
+ - cam_high_rgb
76
+ - cam_left_wrist_rgb
77
+ - cam_right_wrist_rgb
78
+ came_info:
79
+ cam_high_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
+ depth_enabled: false
85
+ coordinate_definition: right-hand-frame
86
+ joint_rotation_dim: radian
87
+ end_translation_dim: meter
88
+ annotations:
89
+ - eef_acc_mag_annotation.jsonl
90
+ - eef_direction_annotation.jsonl
91
+ - eef_velocity_annotation.jsonl
92
+ - gripper_activity_annotation.jsonl
93
+ - gripper_mode_annotation.jsonl
94
+ - scene_annotations.jsonl
95
+ - subtask_annotations.jsonl
96
+ statistics:
97
+ total_episodes: 994
98
+ total_frames: 392136
99
+ fps: 30
100
+ total_tasks: 12
101
+ total_videos: 2982
102
+ total_chunks: 1
103
+ chunks_size: 1000
104
+ state_dim: 26
105
+ action_dim: 26
106
+ camera_views: 3
107
+ dataset_size: 4.99 GB
108
+ frame_num: 392136
109
+ frame_range: 1M
110
+ dataset_size: 4.99 GB
111
+ data_structure: 'Split_aloha_basket_storage_peach_qced_hardlink/
112
+
113
+ |-- annotations
114
+
115
+ | |-- eef_acc_mag_annotation.jsonl
116
+
117
+ | |-- eef_direction_annotation.jsonl
118
+
119
+ | |-- eef_velocity_annotation.jsonl
120
+
121
+ | |-- gripper_activity_annotation.jsonl
122
+
123
+ | |-- gripper_mode_annotation.jsonl
124
+
125
+ | |-- scene_annotations.jsonl
126
+
127
+ | `-- subtask_annotations.jsonl
128
+
129
+ |-- data
130
+
131
+ | `-- chunk-000
132
+
133
+ | |-- episode_000000.parquet
134
+
135
+ | |-- episode_000001.parquet
136
+
137
+ | |-- episode_000002.parquet
138
+
139
+ | |-- episode_000003.parquet
140
+
141
+ | |-- episode_000004.parquet
142
+
143
+ | |-- episode_000005.parquet
144
+
145
+ | |-- episode_000006.parquet
146
+
147
+ | |-- episode_000007.parquet
148
+
149
+ | |-- episode_000008.parquet
150
+
151
+ | |-- episode_000009.parquet
152
+
153
+ | |-- episode_000010.parquet
154
+
155
+ | `-- episode_000011.parquet
156
+
157
+ | `-- ... (982 more entries)
158
+
159
+ |-- meta
160
+
161
+ | |-- episodes.jsonl
162
+
163
+ | |-- episodes_stats.jsonl
164
+
165
+ | |-- info.json
166
+
167
+ | `-- tasks.jsonl
168
+
169
+ |-- videos
170
+
171
+ | `-- chunk-000
172
+
173
+ | |-- observation.images.cam_high_rgb
174
+
175
+ | |-- observation.images.cam_left_wrist_rgb
176
+
177
+ | `-- observation.images.cam_right_wrist_rgb
178
+
179
+ |-- info.yaml
180
+
181
+ `-- README.md'
182
+ splits:
183
+ train: 0:993
184
+ features:
185
+ observation.images.cam_high_rgb:
186
+ dtype: video
187
+ shape:
188
+ - 480
189
+ - 640
190
+ - 3
191
+ names:
192
+ - height
193
+ - width
194
+ - channels
195
+ info:
196
+ video.height: 480
197
+ video.width: 640
198
+ video.codec: av1
199
+ video.pix_fmt: yuv420p
200
+ video.is_depth_map: false
201
+ video.fps: 30
202
+ video.channels: 3
203
+ has_audio: false
204
+ observation.images.cam_left_wrist_rgb:
205
+ dtype: video
206
+ shape:
207
+ - 480
208
+ - 640
209
+ - 3
210
+ names:
211
+ - height
212
+ - width
213
+ - channels
214
+ info:
215
+ video.height: 480
216
+ video.width: 640
217
+ video.codec: av1
218
+ video.pix_fmt: yuv420p
219
+ video.is_depth_map: false
220
+ video.fps: 30
221
+ video.channels: 3
222
+ has_audio: false
223
+ observation.images.cam_right_wrist_rgb:
224
+ dtype: video
225
+ shape:
226
+ - 480
227
+ - 640
228
+ - 3
229
+ names:
230
+ - height
231
+ - width
232
+ - channels
233
+ info:
234
+ video.height: 480
235
+ video.width: 640
236
+ video.codec: av1
237
+ video.pix_fmt: yuv420p
238
+ video.is_depth_map: false
239
+ video.fps: 30
240
+ video.channels: 3
241
+ has_audio: false
242
+ observation.state:
243
+ dtype: float32
244
+ shape:
245
+ - 26
246
+ names:
247
+ - left_arm_joint_1_rad
248
+ - left_arm_joint_2_rad
249
+ - left_arm_joint_3_rad
250
+ - left_arm_joint_4_rad
251
+ - left_arm_joint_5_rad
252
+ - left_arm_joint_6_rad
253
+ - left_gripper_open
254
+ - left_eef_pos_x_m
255
+ - left_eef_pos_y_m
256
+ - left_eef_pos_z_m
257
+ - left_eef_rot_euler_x_rad
258
+ - left_eef_rot_euler_y_rad
259
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
267
+ - right_eef_pos_x_m
268
+ - right_eef_pos_y_m
269
+ - right_eef_pos_z_m
270
+ - right_eef_rot_euler_x_rad
271
+ - right_eef_rot_euler_y_rad
272
+ - right_eef_rot_euler_z_rad
273
+ action:
274
+ dtype: float32
275
+ shape:
276
+ - 26
277
+ names:
278
+ - left_arm_joint_1_rad
279
+ - left_arm_joint_2_rad
280
+ - left_arm_joint_3_rad
281
+ - left_arm_joint_4_rad
282
+ - left_arm_joint_5_rad
283
+ - left_arm_joint_6_rad
284
+ - left_gripper_open
285
+ - left_eef_pos_x_m
286
+ - left_eef_pos_y_m
287
+ - left_eef_pos_z_m
288
+ - left_eef_rot_euler_x_rad
289
+ - left_eef_rot_euler_y_rad
290
+ - left_eef_rot_euler_z_rad
291
+ - right_arm_joint_1_rad
292
+ - right_arm_joint_2_rad
293
+ - right_arm_joint_3_rad
294
+ - right_arm_joint_4_rad
295
+ - right_arm_joint_5_rad
296
+ - right_arm_joint_6_rad
297
+ - right_gripper_open
298
+ - right_eef_pos_x_m
299
+ - right_eef_pos_y_m
300
+ - right_eef_pos_z_m
301
+ - right_eef_rot_euler_x_rad
302
+ - right_eef_rot_euler_y_rad
303
+ - right_eef_rot_euler_z_rad
304
+ timestamp:
305
+ dtype: float32
306
+ shape:
307
+ - 1
308
+ names: null
309
+ frame_index:
310
+ dtype: int64
311
+ shape:
312
+ - 1
313
+ names: null
314
+ episode_index:
315
+ dtype: int64
316
+ shape:
317
+ - 1
318
+ names: null
319
+ index:
320
+ dtype: int64
321
+ shape:
322
+ - 1
323
+ names: null
324
+ task_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ subtask_annotation:
330
+ names: null
331
+ dtype: int32
332
+ shape:
333
+ - 5
334
+ scene_annotation:
335
+ names: null
336
+ dtype: int32
337
+ shape:
338
+ - 1
339
+ eef_sim_pose_state:
340
+ names:
341
+ - left_eef_pos_x
342
+ - left_eef_pos_y
343
+ - left_eef_pos_z
344
+ - left_eef_ori_x
345
+ - left_eef_ori_y
346
+ - left_eef_ori_z
347
+ - right_eef_pos_x
348
+ - right_eef_pos_y
349
+ - right_eef_pos_z
350
+ - right_eef_ori_x
351
+ - right_eef_ori_y
352
+ - right_eef_ori_z
353
+ dtype: float32
354
+ shape:
355
+ - 12
356
+ eef_sim_pose_action:
357
+ names:
358
+ - left_eef_pos_x
359
+ - left_eef_pos_y
360
+ - left_eef_pos_z
361
+ - left_eef_ori_x
362
+ - left_eef_ori_y
363
+ - left_eef_ori_z
364
+ - right_eef_pos_x
365
+ - right_eef_pos_y
366
+ - right_eef_pos_z
367
+ - right_eef_ori_x
368
+ - right_eef_ori_y
369
+ - right_eef_ori_z
370
+ dtype: float32
371
+ shape:
372
+ - 12
373
+ eef_direction_state:
374
+ names:
375
+ - left_eef_direction
376
+ - right_eef_direction
377
+ dtype: int32
378
+ shape:
379
+ - 2
380
+ eef_direction_action:
381
+ names:
382
+ - left_eef_direction
383
+ - right_eef_direction
384
+ dtype: int32
385
+ shape:
386
+ - 2
387
+ eef_velocity_state:
388
+ names:
389
+ - left_eef_velocity
390
+ - right_eef_velocity
391
+ dtype: int32
392
+ shape:
393
+ - 2
394
+ eef_velocity_action:
395
+ names:
396
+ - left_eef_velocity
397
+ - right_eef_velocity
398
+ dtype: int32
399
+ shape:
400
+ - 2
401
+ eef_acc_mag_state:
402
+ names:
403
+ - left_eef_acc_mag
404
+ - right_eef_acc_mag
405
+ dtype: int32
406
+ shape:
407
+ - 2
408
+ eef_acc_mag_action:
409
+ names:
410
+ - left_eef_acc_mag
411
+ - right_eef_acc_mag
412
+ dtype: int32
413
+ shape:
414
+ - 2
415
+ gripper_open_scale_state:
416
+ names:
417
+ - left_gripper_open_scale
418
+ - right_gripper_open_scale
419
+ dtype: float32
420
+ shape:
421
+ - 2
422
+ gripper_open_scale_action:
423
+ names:
424
+ - left_gripper_open_scale
425
+ - right_gripper_open_scale
426
+ dtype: float32
427
+ shape:
428
+ - 2
429
+ gripper_mode_state:
430
+ names:
431
+ - left_gripper_mode
432
+ - right_gripper_mode
433
+ dtype: int32
434
+ shape:
435
+ - 2
436
+ gripper_mode_action:
437
+ names:
438
+ - left_gripper_mode
439
+ - right_gripper_mode
440
+ dtype: int32
441
+ shape:
442
+ - 2
443
+ gripper_activity_state:
444
+ names:
445
+ - left_gripper_activity
446
+ - right_gripper_activity
447
+ dtype: int32
448
+ shape:
449
+ - 2
450
+ authors:
451
+ contributed_by:
452
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
453
+ dataset_description: This dataset uses an extended format based on LeRobot and is
454
+ fully compatible with LeRobot.
455
+ homepage: https://flagopen.github.io/RoboCOIN/
456
+ paper: https://arxiv.org/abs/2511.17441
457
+ repository: https://github.com/FlagOpen/RoboCOIN
458
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
459
+ us.
460
+ support_info: For technical support, please open an issue on our GitHub repository.
461
+ license_details: apache-2.0
462
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
463
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
464
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
465
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
466
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
467
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
468
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
469
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
470
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
471
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
472
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
473
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
474
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
475
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
476
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
477
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
478
+ additional_citations: 'If you use this dataset, please also consider citing:
479
+
480
+ LeRobot Framework: https://github.com/huggingface/lerobot
481
+
482
+ '
483
+ version_info: Initial Release
484
+ data_path: data/chunk-{id}/episode_{id}.parquet
485
+ video_path: videos/chunk-{id}/observation.images.cam_high_rgb/episode_{id}.mp{id}
486
+ video_url: videos/chunk-000/observation.images.cam_high_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_classify_objects_eight.yaml ADDED
@@ -0,0 +1,675 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_eight
24
+ dataset_uuid: a3b685ba-0fd9-4833-81da-4ac1621636a3
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
+ - object_name: brown_basket
36
+ - object_name: black_basket
37
+ - object_name: bread
38
+ - object_name: orange
39
+ - object_name: green_lemon
40
+ - object_name: pink_clear_plastic_cup
41
+ - object_name: laundry_detergent
42
+ - object_name: mentholatum_facial_cleanser
43
+ - object_name: lemon
44
+ - object_name: apple
45
+ - object_name: mango
46
+ - object_name: kiwi_fruit
47
+ - object_name: mangosteen
48
+ - object_name: pear
49
+ - object_name: avocado
50
+ - object_name: brown_clear_plastic_cup
51
+ - object_name: shampoo
52
+ - object_name: deli_water_based_marker
53
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
54
+ the operation type information.
55
+ task_instruction:
56
+ - Place the objects separately in different baskets with the gripper.
57
+ sub_tasks:
58
+ - subtask: Place the pear in the light basket with right gripper.
59
+ subtask_index: 0
60
+ - subtask: Pick up the shampoo with left gripper.
61
+ subtask_index: 1
62
+ - subtask: Place the pink marker pen in the dark basket with right gripper.
63
+ subtask_index: 2
64
+ - subtask: Pick up the pear with left gripper.
65
+ subtask_index: 3
66
+ - subtask: Place the lime in the light basket with right gripper.
67
+ subtask_index: 4
68
+ - subtask: Place the laundry detergent in the dark basket with right gripper.
69
+ subtask_index: 5
70
+ - subtask: Place the mango in the light basket with right gripper.
71
+ subtask_index: 6
72
+ - subtask: Pick up the light brown cup with left gripper.
73
+ subtask_index: 7
74
+ - subtask: Place the orange in the light basket with right gripper.
75
+ subtask_index: 8
76
+ - subtask: Pick up the dark brown cup with left gripper.
77
+ subtask_index: 9
78
+ - subtask: Place the dark brown cup in the dark basket with left gripper.
79
+ subtask_index: 10
80
+ - subtask: Pick up the light brown cup with right gripper.
81
+ subtask_index: 11
82
+ - subtask: Pick up pink marker pen with right gripper.
83
+ subtask_index: 12
84
+ - subtask: Pick up the lime with left gripper.
85
+ subtask_index: 13
86
+ - subtask: Pick up kiwi with left gripper.
87
+ subtask_index: 14
88
+ - subtask: Pick up mango with left gripper.
89
+ subtask_index: 15
90
+ - subtask: Place the shampoo in the dark basket with right gripper.
91
+ subtask_index: 16
92
+ - subtask: Place the dark brown cup in the dark basket with right gripper.
93
+ subtask_index: 17
94
+ - subtask: Pick up the pomegranate with right gripper.
95
+ subtask_index: 18
96
+ - subtask: Pick up the pear with right gripper.
97
+ subtask_index: 19
98
+ - subtask: Pick up the dark brown cup with right gripper.
99
+ subtask_index: 20
100
+ - subtask: Pick up the red cup with right gripper.
101
+ subtask_index: 21
102
+ - subtask: Place the pomegranate in the light basket with left gripper.
103
+ subtask_index: 22
104
+ - subtask: Pick up the avocado with right gripper.
105
+ subtask_index: 23
106
+ - subtask: Pick up the hard facial cleanser with left gripper.
107
+ subtask_index: 24
108
+ - subtask: Place the Incense box in the dark basket with left gripper.
109
+ subtask_index: 25
110
+ - subtask: Pick up the shampoo with right gripper.
111
+ subtask_index: 26
112
+ - subtask: Place the banana in the light basket with right gripper.
113
+ subtask_index: 27
114
+ - subtask: Place the laundry detergent in the dark basket with left gripper.
115
+ subtask_index: 28
116
+ - subtask: Pick up the orange with right gripper.
117
+ subtask_index: 29
118
+ - subtask: Place the mangosteen in the light basket with right gripper.
119
+ subtask_index: 30
120
+ - subtask: Place the hard facial cleanser in the dark basket with right gripper.
121
+ subtask_index: 31
122
+ - subtask: Pick up Incense box with right gripper.
123
+ subtask_index: 32
124
+ - subtask: Place the red marker in the dark basket with right gripper.
125
+ subtask_index: 33
126
+ - subtask: Pick up the lemon with left gripper.
127
+ subtask_index: 34
128
+ - subtask: Place the banana in the light basket with left gripper.
129
+ subtask_index: 35
130
+ - subtask: Pick up Incense box with left gripper.
131
+ subtask_index: 36
132
+ - subtask: Pick up kiwi with right gripper.
133
+ subtask_index: 37
134
+ - subtask: Pick up the mango with right gripper.
135
+ subtask_index: 38
136
+ - subtask: Place the lemon in the light basket with left gripper.
137
+ subtask_index: 39
138
+ - subtask: Pick up the laundry detergent with left gripper.
139
+ subtask_index: 40
140
+ - subtask: Pick up toothpaste with right gripper.
141
+ subtask_index: 41
142
+ - subtask: Pick up the bread with right gripper.
143
+ subtask_index: 42
144
+ - subtask: Pick up toothpaste with left gripper.
145
+ subtask_index: 43
146
+ - subtask: Place the red cup in the dark basket with left gripper.
147
+ subtask_index: 44
148
+ - subtask: Place the red cup in the dark basket with right gripper.
149
+ subtask_index: 45
150
+ - subtask: Place the lemon in the light basket with right gripper.
151
+ subtask_index: 46
152
+ - subtask: Pick up banana with left gripper.
153
+ subtask_index: 47
154
+ - subtask: Place the avocado in the light basket with right gripper.
155
+ subtask_index: 48
156
+ - subtask: Pick up egg yolk pastry with left gripper.
157
+ subtask_index: 49
158
+ - subtask: Place the light brown cup in the dark basket with left gripper.
159
+ subtask_index: 50
160
+ - subtask: Pick up egg yolk pastry with right gripper.
161
+ subtask_index: 51
162
+ - subtask: Place the orange in the light basket with left gripper.
163
+ subtask_index: 52
164
+ - subtask: Place the hard facial cleanser in the dark basket with left gripper.
165
+ subtask_index: 53
166
+ - subtask: Pick up the lemon with right gripper.
167
+ subtask_index: 54
168
+ - subtask: Place the kiwi in the light basket with right gripper.
169
+ subtask_index: 55
170
+ - subtask: End.
171
+ subtask_index: 56
172
+ - subtask: Pick up gray cup with left gripper.
173
+ subtask_index: 57
174
+ - subtask: Place the pomegranate in the light basket with right gripper.
175
+ subtask_index: 58
176
+ - subtask: Pick up banana with right gripper.
177
+ subtask_index: 59
178
+ - subtask: Place the blackboard eraser in the dark basket with left gripper.
179
+ subtask_index: 60
180
+ - subtask: Pick up the red marker with right gripper.
181
+ subtask_index: 61
182
+ - subtask: Place the red marker in the dark basket with left gripper.
183
+ subtask_index: 62
184
+ - subtask: Place the gray cup in the dark basket with left gripper.
185
+ subtask_index: 63
186
+ - subtask: Pick up the red cup with left gripper.
187
+ subtask_index: 64
188
+ - subtask: Place the kiwi in the light basket with left gripper.
189
+ subtask_index: 65
190
+ - subtask: Pick up the mangosteen with left gripper.
191
+ subtask_index: 66
192
+ - subtask: Pick up the orange with left gripper.
193
+ subtask_index: 67
194
+ - subtask: Place the mangosteen in the light basket with left gripper.
195
+ subtask_index: 68
196
+ - subtask: Place the bread in the light basket with right gripper.
197
+ subtask_index: 69
198
+ - subtask: Place the toothpaste in the dark basket with right gripper.
199
+ subtask_index: 70
200
+ - subtask: Pick up the lime with right gripper.
201
+ subtask_index: 71
202
+ - subtask: Place the mango in the light basket with left gripper.
203
+ subtask_index: 72
204
+ - subtask: Pick up the mangosteen with right gripper.
205
+ subtask_index: 73
206
+ - subtask: Place the pink marker pen in the dark basket with left gripper.
207
+ subtask_index: 74
208
+ - subtask: Pick up the red marker with left gripper.
209
+ subtask_index: 75
210
+ - subtask: Place the pear in the light basket with left gripper.
211
+ subtask_index: 76
212
+ - subtask: Pick up blackboard eraser with right gripper.
213
+ subtask_index: 77
214
+ - subtask: Place the blackboard eraser in the dark basket with right gripper.
215
+ subtask_index: 78
216
+ - subtask: Place the shampoo in the dark basket with left gripper.
217
+ subtask_index: 79
218
+ - subtask: Place the egg yolk pastry in the light basket with left gripper.
219
+ subtask_index: 80
220
+ - subtask: Pick up the pomegranate with left gripper.
221
+ subtask_index: 81
222
+ - subtask: Place the toothpaste in the dark basket with left gripper.
223
+ subtask_index: 82
224
+ - subtask: Pick up blackboard eraser with left gripper.
225
+ subtask_index: 83
226
+ - subtask: Place the Incense box in the dark basket with right gripper.
227
+ subtask_index: 84
228
+ - subtask: Pick up the hard facial cleanser with right gripper.
229
+ subtask_index: 85
230
+ - subtask: Place the apple in the light basket with right gripper.
231
+ subtask_index: 86
232
+ - subtask: Place the avocado in the light basket with left gripper.
233
+ subtask_index: 87
234
+ - subtask: Pick up pink marker pen with left gripper.
235
+ subtask_index: 88
236
+ - subtask: Pick up the avocado with left gripper.
237
+ subtask_index: 89
238
+ - subtask: Pick up the laundry detergent with right gripper.
239
+ subtask_index: 90
240
+ - subtask: Place the egg yolk pastry in the light basket with right gripper.
241
+ subtask_index: 91
242
+ - subtask: Pick up the apple with right gripper.
243
+ subtask_index: 92
244
+ - subtask: Place the lime in the light basket with left gripper.
245
+ subtask_index: 93
246
+ - subtask: null.
247
+ subtask_index: 94
248
+ atomic_actions:
249
+ - grasp
250
+ - lift
251
+ - place
252
+ robot_name: Agilex_Cobot_Magic
253
+ end_effector_type: two_finger_end_effector
254
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
255
+ type information.
256
+ sensor_list:
257
+ - cam_head_rgb
258
+ - cam_left_wrist_rgb
259
+ - cam_right_wrist_rgb
260
+ came_info:
261
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
262
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
263
+ pix_fmt=yuv420p
264
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
265
+ pix_fmt=yuv420p
266
+ depth_enabled: false
267
+ coordinate_definition: right-hand-frame
268
+ joint_rotation_dim: radian
269
+ end_translation_dim: meter
270
+ annotations:
271
+ - eef_acc_mag_annotation.jsonl
272
+ - eef_direction_annotation.jsonl
273
+ - eef_velocity_annotation.jsonl
274
+ - gripper_activity_annotation.jsonl
275
+ - gripper_mode_annotation.jsonl
276
+ - scene_annotations.jsonl
277
+ - subtask_annotations.jsonl
278
+ statistics:
279
+ total_episodes: 197
280
+ total_frames: 337837
281
+ fps: 30
282
+ total_tasks: 95
283
+ total_videos: 591
284
+ total_chunks: 1
285
+ chunks_size: 1000
286
+ state_dim: 26
287
+ action_dim: 26
288
+ camera_views: 3
289
+ dataset_size: 4.51 GB
290
+ frame_num: 337837
291
+ frame_range: 1M
292
+ dataset_size: 4.51 GB
293
+ data_structure: 'Agilex_Cobot_Magic_classify_objects_eight_qced_hardlink/
294
+
295
+ |-- annotations
296
+
297
+ | |-- eef_acc_mag_annotation.jsonl
298
+
299
+ | |-- eef_direction_annotation.jsonl
300
+
301
+ | |-- eef_velocity_annotation.jsonl
302
+
303
+ | |-- gripper_activity_annotation.jsonl
304
+
305
+ | |-- gripper_mode_annotation.jsonl
306
+
307
+ | |-- scene_annotations.jsonl
308
+
309
+ | `-- subtask_annotations.jsonl
310
+
311
+ |-- data
312
+
313
+ | `-- chunk-000
314
+
315
+ | |-- episode_000000.parquet
316
+
317
+ | |-- episode_000001.parquet
318
+
319
+ | |-- episode_000002.parquet
320
+
321
+ | |-- episode_000003.parquet
322
+
323
+ | |-- episode_000004.parquet
324
+
325
+ | |-- episode_000005.parquet
326
+
327
+ | |-- episode_000006.parquet
328
+
329
+ | |-- episode_000007.parquet
330
+
331
+ | |-- episode_000008.parquet
332
+
333
+ | |-- episode_000009.parquet
334
+
335
+ | |-- episode_000010.parquet
336
+
337
+ | `-- episode_000011.parquet
338
+
339
+ | `-- ... (185 more entries)
340
+
341
+ |-- meta
342
+
343
+ | |-- episodes.jsonl
344
+
345
+ | |-- episodes_stats.jsonl
346
+
347
+ | |-- info.json
348
+
349
+ | `-- tasks.jsonl
350
+
351
+ |-- videos
352
+
353
+ | `-- chunk-000
354
+
355
+ | |-- observation.images.cam_head_rgb
356
+
357
+ | |-- observation.images.cam_left_wrist_rgb
358
+
359
+ | `-- observation.images.cam_right_wrist_rgb
360
+
361
+ |-- info.yaml
362
+
363
+ `-- README.md'
364
+ splits:
365
+ train: 0:196
366
+ features:
367
+ observation.images.cam_head_rgb:
368
+ dtype: video
369
+ shape:
370
+ - 480
371
+ - 640
372
+ - 3
373
+ names:
374
+ - height
375
+ - width
376
+ - channels
377
+ info:
378
+ video.height: 480
379
+ video.width: 640
380
+ video.codec: av1
381
+ video.pix_fmt: yuv420p
382
+ video.is_depth_map: false
383
+ video.fps: 30
384
+ video.channels: 3
385
+ has_audio: false
386
+ observation.images.cam_left_wrist_rgb:
387
+ dtype: video
388
+ shape:
389
+ - 480
390
+ - 640
391
+ - 3
392
+ names:
393
+ - height
394
+ - width
395
+ - channels
396
+ info:
397
+ video.height: 480
398
+ video.width: 640
399
+ video.codec: av1
400
+ video.pix_fmt: yuv420p
401
+ video.is_depth_map: false
402
+ video.fps: 30
403
+ video.channels: 3
404
+ has_audio: false
405
+ observation.images.cam_right_wrist_rgb:
406
+ dtype: video
407
+ shape:
408
+ - 480
409
+ - 640
410
+ - 3
411
+ names:
412
+ - height
413
+ - width
414
+ - channels
415
+ info:
416
+ video.height: 480
417
+ video.width: 640
418
+ video.codec: av1
419
+ video.pix_fmt: yuv420p
420
+ video.is_depth_map: false
421
+ video.fps: 30
422
+ video.channels: 3
423
+ has_audio: false
424
+ observation.state:
425
+ dtype: float32
426
+ shape:
427
+ - 26
428
+ names:
429
+ - left_arm_joint_1_rad
430
+ - left_arm_joint_2_rad
431
+ - left_arm_joint_3_rad
432
+ - left_arm_joint_4_rad
433
+ - left_arm_joint_5_rad
434
+ - left_arm_joint_6_rad
435
+ - left_gripper_open
436
+ - left_eef_pos_x_m
437
+ - left_eef_pos_y_m
438
+ - left_eef_pos_z_m
439
+ - left_eef_rot_euler_x_rad
440
+ - left_eef_rot_euler_y_rad
441
+ - left_eef_rot_euler_z_rad
442
+ - right_arm_joint_1_rad
443
+ - right_arm_joint_2_rad
444
+ - right_arm_joint_3_rad
445
+ - right_arm_joint_4_rad
446
+ - right_arm_joint_5_rad
447
+ - right_arm_joint_6_rad
448
+ - right_gripper_open
449
+ - right_eef_pos_x_m
450
+ - right_eef_pos_y_m
451
+ - right_eef_pos_z_m
452
+ - right_eef_rot_euler_x_rad
453
+ - right_eef_rot_euler_y_rad
454
+ - right_eef_rot_euler_z_rad
455
+ action:
456
+ dtype: float32
457
+ shape:
458
+ - 26
459
+ names:
460
+ - left_arm_joint_1_rad
461
+ - left_arm_joint_2_rad
462
+ - left_arm_joint_3_rad
463
+ - left_arm_joint_4_rad
464
+ - left_arm_joint_5_rad
465
+ - left_arm_joint_6_rad
466
+ - left_gripper_open
467
+ - left_eef_pos_x_m
468
+ - left_eef_pos_y_m
469
+ - left_eef_pos_z_m
470
+ - left_eef_rot_euler_x_rad
471
+ - left_eef_rot_euler_y_rad
472
+ - left_eef_rot_euler_z_rad
473
+ - right_arm_joint_1_rad
474
+ - right_arm_joint_2_rad
475
+ - right_arm_joint_3_rad
476
+ - right_arm_joint_4_rad
477
+ - right_arm_joint_5_rad
478
+ - right_arm_joint_6_rad
479
+ - right_gripper_open
480
+ - right_eef_pos_x_m
481
+ - right_eef_pos_y_m
482
+ - right_eef_pos_z_m
483
+ - right_eef_rot_euler_x_rad
484
+ - right_eef_rot_euler_y_rad
485
+ - right_eef_rot_euler_z_rad
486
+ timestamp:
487
+ dtype: float32
488
+ shape:
489
+ - 1
490
+ names: null
491
+ frame_index:
492
+ dtype: int64
493
+ shape:
494
+ - 1
495
+ names: null
496
+ episode_index:
497
+ dtype: int64
498
+ shape:
499
+ - 1
500
+ names: null
501
+ index:
502
+ dtype: int64
503
+ shape:
504
+ - 1
505
+ names: null
506
+ task_index:
507
+ dtype: int64
508
+ shape:
509
+ - 1
510
+ names: null
511
+ subtask_annotation:
512
+ names: null
513
+ dtype: int32
514
+ shape:
515
+ - 5
516
+ scene_annotation:
517
+ names: null
518
+ dtype: int32
519
+ shape:
520
+ - 1
521
+ eef_sim_pose_state:
522
+ names:
523
+ - left_eef_pos_x
524
+ - left_eef_pos_y
525
+ - left_eef_pos_z
526
+ - left_eef_rot_x
527
+ - left_eef_rot_y
528
+ - left_eef_rot_z
529
+ - right_eef_pos_x
530
+ - right_eef_pos_y
531
+ - right_eef_pos_z
532
+ - right_eef_rot_x
533
+ - right_eef_rot_y
534
+ - right_eef_rot_z
535
+ dtype: float32
536
+ shape:
537
+ - 12
538
+ eef_sim_pose_action:
539
+ names:
540
+ - left_eef_pos_x
541
+ - left_eef_pos_y
542
+ - left_eef_pos_z
543
+ - left_eef_rot_x
544
+ - left_eef_rot_y
545
+ - left_eef_rot_z
546
+ - right_eef_pos_x
547
+ - right_eef_pos_y
548
+ - right_eef_pos_z
549
+ - right_eef_rot_x
550
+ - right_eef_rot_y
551
+ - right_eef_rot_z
552
+ dtype: float32
553
+ shape:
554
+ - 12
555
+ eef_direction_state:
556
+ names:
557
+ - left_eef_direction
558
+ - right_eef_direction
559
+ dtype: int32
560
+ shape:
561
+ - 2
562
+ eef_direction_action:
563
+ names:
564
+ - left_eef_direction
565
+ - right_eef_direction
566
+ dtype: int32
567
+ shape:
568
+ - 2
569
+ eef_velocity_state:
570
+ names:
571
+ - left_eef_velocity
572
+ - right_eef_velocity
573
+ dtype: int32
574
+ shape:
575
+ - 2
576
+ eef_velocity_action:
577
+ names:
578
+ - left_eef_velocity
579
+ - right_eef_velocity
580
+ dtype: int32
581
+ shape:
582
+ - 2
583
+ eef_acc_mag_state:
584
+ names:
585
+ - left_eef_acc_mag
586
+ - right_eef_acc_mag
587
+ dtype: int32
588
+ shape:
589
+ - 2
590
+ eef_acc_mag_action:
591
+ names:
592
+ - left_eef_acc_mag
593
+ - right_eef_acc_mag
594
+ dtype: int32
595
+ shape:
596
+ - 2
597
+ gripper_mode_state:
598
+ names:
599
+ - left_gripper_mode
600
+ - right_gripper_mode
601
+ dtype: int32
602
+ shape:
603
+ - 2
604
+ gripper_mode_action:
605
+ names:
606
+ - left_gripper_mode
607
+ - right_gripper_mode
608
+ dtype: int32
609
+ shape:
610
+ - 2
611
+ gripper_activity_state:
612
+ names:
613
+ - left_gripper_activity
614
+ - right_gripper_activity
615
+ dtype: int32
616
+ shape:
617
+ - 2
618
+ gripper_activity_action:
619
+ names:
620
+ - left_gripper_activity
621
+ - right_gripper_activity
622
+ dtype: int32
623
+ shape:
624
+ - 2
625
+ gripper_open_scale_state:
626
+ names:
627
+ - left_gripper_open_scale
628
+ - right_gripper_open_scale
629
+ dtype: float32
630
+ shape:
631
+ - 2
632
+ gripper_open_scale_action:
633
+ names:
634
+ - left_gripper_open_scale
635
+ - right_gripper_open_scale
636
+ dtype: float32
637
+ shape:
638
+ - 2
639
+ authors:
640
+ contributed_by:
641
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
642
+ dataset_description: This dataset uses an extended format based on LeRobot and is
643
+ fully compatible with LeRobot.
644
+ homepage: https://flagopen.github.io/RoboCOIN/
645
+ paper: https://arxiv.org/abs/2511.17441
646
+ repository: https://github.com/FlagOpen/RoboCOIN
647
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
648
+ us.
649
+ support_info: For technical support, please open an issue on our GitHub repository.
650
+ license_details: apache-2.0
651
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
652
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
653
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
654
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
655
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
656
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
657
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
658
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
659
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
660
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
661
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
662
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
663
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
664
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
665
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
666
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
667
+ additional_citations: 'If you use this dataset, please also consider citing:
668
+
669
+ LeRobot Framework: https://github.com/huggingface/lerobot
670
+
671
+ '
672
+ version_info: Initial Release
673
+ data_path: data/chunk-{id}/episode_{id}.parquet
674
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
675
+ 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 +1,531 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: d86ae03e-0c72-4900-b2f6-e2045791fc75
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
+ - object_name: brown_basket
36
+ - object_name: black_basket
37
+ - object_name: bread
38
+ - object_name: orange
39
+ - object_name: green_lemon
40
+ - object_name: pink_clear_plastic_cup
41
+ - object_name: laundry_detergent
42
+ - object_name: mentholatum_facial_cleanser
43
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
44
+ the operation type information.
45
+ task_instruction:
46
+ - Place multiple objects separately with the gripper in different baskets.
47
+ sub_tasks:
48
+ - subtask: Place the orange in the light basket with left gripper.
49
+ subtask_index: 0
50
+ - subtask: Grasp the xx with the right gripper.
51
+ subtask_index: 1
52
+ - subtask: Pick up the facial cleanser with left gripper.
53
+ subtask_index: 2
54
+ - subtask: End.
55
+ subtask_index: 3
56
+ - subtask: Place the facial cleanser in the dark basket with left gripper.
57
+ subtask_index: 4
58
+ - subtask: Place the XX into the basket on the left with the right gripper.
59
+ subtask_index: 5
60
+ - subtask: Place the lime in the light basket with right gripper.
61
+ subtask_index: 6
62
+ - subtask: Place the laundry detergent in the dark basket with right gripper.
63
+ subtask_index: 7
64
+ - subtask: Place the orange in the light basket with right gripper.
65
+ subtask_index: 8
66
+ - subtask: Pick up the lime with left gripper.
67
+ subtask_index: 9
68
+ - subtask: Place the XX into the basket on the right with the left gripper.
69
+ subtask_index: 10
70
+ - subtask: Place the XX into the basket on the left with the left gripper.
71
+ subtask_index: 11
72
+ - subtask: Place the XX into the basket on the right with the right gripper.
73
+ subtask_index: 12
74
+ - subtask: Grasp the xx with the left gripper.
75
+ subtask_index: 13
76
+ - subtask: Pick up the orange with left gripper.
77
+ subtask_index: 14
78
+ - subtask: Place the bread in the light basket with right gripper.
79
+ subtask_index: 15
80
+ - subtask: Pick up the laundry detergent with right gripper.
81
+ subtask_index: 16
82
+ - subtask: Abnormal.
83
+ subtask_index: 17
84
+ - subtask: Pick up the laundry detergent with left gripper.
85
+ subtask_index: 18
86
+ - subtask: Pick up the facial cleanser with right gripper.
87
+ subtask_index: 19
88
+ - subtask: Pick up the lime with right gripper.
89
+ subtask_index: 20
90
+ - subtask: Pick up the bread with right gripper.
91
+ subtask_index: 21
92
+ - subtask: Place the brown cup in the dark basket with left gripper.
93
+ subtask_index: 22
94
+ - subtask: Place the laundry detergent in the dark basket with left gripper.
95
+ subtask_index: 23
96
+ - subtask: Pick up the orange with right gripper.
97
+ subtask_index: 24
98
+ - subtask: Place the lime in the light basket with left gripper.
99
+ subtask_index: 25
100
+ - subtask: Pick up the brown cup with left gripper.
101
+ subtask_index: 26
102
+ - subtask: null.
103
+ subtask_index: 27
104
+ atomic_actions:
105
+ - grasp
106
+ - lift
107
+ - place
108
+ robot_name: Agilex_Cobot_Magic
109
+ end_effector_type: two_finger_end_effector
110
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
111
+ type information.
112
+ sensor_list:
113
+ - cam_head_rgb
114
+ - cam_left_wrist_rgb
115
+ - cam_right_wrist_rgb
116
+ came_info:
117
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
118
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
119
+ pix_fmt=yuv420p
120
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
121
+ pix_fmt=yuv420p
122
+ depth_enabled: false
123
+ coordinate_definition: right-hand-frame
124
+ joint_rotation_dim: radian
125
+ end_translation_dim: meter
126
+ annotations:
127
+ - eef_acc_mag_annotation.jsonl
128
+ - eef_direction_annotation.jsonl
129
+ - eef_velocity_annotation.jsonl
130
+ - gripper_activity_annotation.jsonl
131
+ - gripper_mode_annotation.jsonl
132
+ - scene_annotations.jsonl
133
+ - subtask_annotations.jsonl
134
+ statistics:
135
+ total_episodes: 199
136
+ total_frames: 302506
137
+ fps: 30
138
+ total_tasks: 28
139
+ total_videos: 597
140
+ total_chunks: 1
141
+ chunks_size: 1000
142
+ state_dim: 26
143
+ action_dim: 26
144
+ camera_views: 3
145
+ dataset_size: 3.88 GB
146
+ frame_num: 302506
147
+ frame_range: 1M
148
+ dataset_size: 3.88 GB
149
+ data_structure: 'Agilex_Cobot_Magic_classify_objects_six_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
+ | `-- ... (187 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_rgb
212
+
213
+ | |-- observation.images.cam_left_wrist_rgb
214
+
215
+ | `-- observation.images.cam_right_wrist_rgb
216
+
217
+ |-- info.yaml
218
+
219
+ `-- README.md'
220
+ splits:
221
+ train: 0:198
222
+ features:
223
+ observation.images.cam_head_rgb:
224
+ dtype: video
225
+ shape:
226
+ - 480
227
+ - 640
228
+ - 3
229
+ names:
230
+ - height
231
+ - width
232
+ - channels
233
+ info:
234
+ video.height: 480
235
+ video.width: 640
236
+ video.codec: av1
237
+ video.pix_fmt: yuv420p
238
+ video.is_depth_map: false
239
+ video.fps: 30
240
+ video.channels: 3
241
+ has_audio: false
242
+ observation.images.cam_left_wrist_rgb:
243
+ dtype: video
244
+ shape:
245
+ - 480
246
+ - 640
247
+ - 3
248
+ names:
249
+ - height
250
+ - width
251
+ - channels
252
+ info:
253
+ video.height: 480
254
+ video.width: 640
255
+ video.codec: av1
256
+ video.pix_fmt: yuv420p
257
+ video.is_depth_map: false
258
+ video.fps: 30
259
+ video.channels: 3
260
+ has_audio: false
261
+ observation.images.cam_right_wrist_rgb:
262
+ dtype: video
263
+ shape:
264
+ - 480
265
+ - 640
266
+ - 3
267
+ names:
268
+ - height
269
+ - width
270
+ - channels
271
+ info:
272
+ video.height: 480
273
+ video.width: 640
274
+ video.codec: av1
275
+ video.pix_fmt: yuv420p
276
+ video.is_depth_map: false
277
+ video.fps: 30
278
+ video.channels: 3
279
+ has_audio: false
280
+ observation.state:
281
+ dtype: float32
282
+ shape:
283
+ - 26
284
+ names:
285
+ - left_arm_joint_1_rad
286
+ - left_arm_joint_2_rad
287
+ - left_arm_joint_3_rad
288
+ - left_arm_joint_4_rad
289
+ - left_arm_joint_5_rad
290
+ - left_arm_joint_6_rad
291
+ - left_gripper_open
292
+ - left_eef_pos_x_m
293
+ - left_eef_pos_y_m
294
+ - left_eef_pos_z_m
295
+ - left_eef_rot_euler_x_rad
296
+ - left_eef_rot_euler_y_rad
297
+ - left_eef_rot_euler_z_rad
298
+ - right_arm_joint_1_rad
299
+ - right_arm_joint_2_rad
300
+ - right_arm_joint_3_rad
301
+ - right_arm_joint_4_rad
302
+ - right_arm_joint_5_rad
303
+ - right_arm_joint_6_rad
304
+ - right_gripper_open
305
+ - right_eef_pos_x_m
306
+ - right_eef_pos_y_m
307
+ - right_eef_pos_z_m
308
+ - right_eef_rot_euler_x_rad
309
+ - right_eef_rot_euler_y_rad
310
+ - right_eef_rot_euler_z_rad
311
+ action:
312
+ dtype: float32
313
+ shape:
314
+ - 26
315
+ names:
316
+ - left_arm_joint_1_rad
317
+ - left_arm_joint_2_rad
318
+ - left_arm_joint_3_rad
319
+ - left_arm_joint_4_rad
320
+ - left_arm_joint_5_rad
321
+ - left_arm_joint_6_rad
322
+ - left_gripper_open
323
+ - left_eef_pos_x_m
324
+ - left_eef_pos_y_m
325
+ - left_eef_pos_z_m
326
+ - left_eef_rot_euler_x_rad
327
+ - left_eef_rot_euler_y_rad
328
+ - left_eef_rot_euler_z_rad
329
+ - right_arm_joint_1_rad
330
+ - right_arm_joint_2_rad
331
+ - right_arm_joint_3_rad
332
+ - right_arm_joint_4_rad
333
+ - right_arm_joint_5_rad
334
+ - right_arm_joint_6_rad
335
+ - right_gripper_open
336
+ - right_eef_pos_x_m
337
+ - right_eef_pos_y_m
338
+ - right_eef_pos_z_m
339
+ - right_eef_rot_euler_x_rad
340
+ - right_eef_rot_euler_y_rad
341
+ - right_eef_rot_euler_z_rad
342
+ timestamp:
343
+ dtype: float32
344
+ shape:
345
+ - 1
346
+ names: null
347
+ frame_index:
348
+ dtype: int64
349
+ shape:
350
+ - 1
351
+ names: null
352
+ episode_index:
353
+ dtype: int64
354
+ shape:
355
+ - 1
356
+ names: null
357
+ index:
358
+ dtype: int64
359
+ shape:
360
+ - 1
361
+ names: null
362
+ task_index:
363
+ dtype: int64
364
+ shape:
365
+ - 1
366
+ names: null
367
+ subtask_annotation:
368
+ names: null
369
+ dtype: int32
370
+ shape:
371
+ - 5
372
+ scene_annotation:
373
+ names: null
374
+ dtype: int32
375
+ shape:
376
+ - 1
377
+ eef_sim_pose_state:
378
+ names:
379
+ - left_eef_pos_x
380
+ - left_eef_pos_y
381
+ - left_eef_pos_z
382
+ - left_eef_rot_x
383
+ - left_eef_rot_y
384
+ - left_eef_rot_z
385
+ - right_eef_pos_x
386
+ - right_eef_pos_y
387
+ - right_eef_pos_z
388
+ - right_eef_rot_x
389
+ - right_eef_rot_y
390
+ - right_eef_rot_z
391
+ dtype: float32
392
+ shape:
393
+ - 12
394
+ eef_sim_pose_action:
395
+ names:
396
+ - left_eef_pos_x
397
+ - left_eef_pos_y
398
+ - left_eef_pos_z
399
+ - left_eef_rot_x
400
+ - left_eef_rot_y
401
+ - left_eef_rot_z
402
+ - right_eef_pos_x
403
+ - right_eef_pos_y
404
+ - right_eef_pos_z
405
+ - right_eef_rot_x
406
+ - right_eef_rot_y
407
+ - right_eef_rot_z
408
+ dtype: float32
409
+ shape:
410
+ - 12
411
+ eef_direction_state:
412
+ names:
413
+ - left_eef_direction
414
+ - right_eef_direction
415
+ dtype: int32
416
+ shape:
417
+ - 2
418
+ eef_direction_action:
419
+ names:
420
+ - left_eef_direction
421
+ - right_eef_direction
422
+ dtype: int32
423
+ shape:
424
+ - 2
425
+ eef_velocity_state:
426
+ names:
427
+ - left_eef_velocity
428
+ - right_eef_velocity
429
+ dtype: int32
430
+ shape:
431
+ - 2
432
+ eef_velocity_action:
433
+ names:
434
+ - left_eef_velocity
435
+ - right_eef_velocity
436
+ dtype: int32
437
+ shape:
438
+ - 2
439
+ eef_acc_mag_state:
440
+ names:
441
+ - left_eef_acc_mag
442
+ - right_eef_acc_mag
443
+ dtype: int32
444
+ shape:
445
+ - 2
446
+ eef_acc_mag_action:
447
+ names:
448
+ - left_eef_acc_mag
449
+ - right_eef_acc_mag
450
+ dtype: int32
451
+ shape:
452
+ - 2
453
+ gripper_mode_state:
454
+ names:
455
+ - left_gripper_mode
456
+ - right_gripper_mode
457
+ dtype: int32
458
+ shape:
459
+ - 2
460
+ gripper_mode_action:
461
+ names:
462
+ - left_gripper_mode
463
+ - right_gripper_mode
464
+ dtype: int32
465
+ shape:
466
+ - 2
467
+ gripper_activity_state:
468
+ names:
469
+ - left_gripper_activity
470
+ - right_gripper_activity
471
+ dtype: int32
472
+ shape:
473
+ - 2
474
+ gripper_activity_action:
475
+ names:
476
+ - left_gripper_activity
477
+ - right_gripper_activity
478
+ dtype: int32
479
+ shape:
480
+ - 2
481
+ gripper_open_scale_state:
482
+ names:
483
+ - left_gripper_open_scale
484
+ - right_gripper_open_scale
485
+ dtype: float32
486
+ shape:
487
+ - 2
488
+ gripper_open_scale_action:
489
+ names:
490
+ - left_gripper_open_scale
491
+ - right_gripper_open_scale
492
+ dtype: float32
493
+ shape:
494
+ - 2
495
+ authors:
496
+ contributed_by:
497
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
498
+ dataset_description: This dataset uses an extended format based on LeRobot and is
499
+ fully compatible with LeRobot.
500
+ homepage: https://flagopen.github.io/RoboCOIN/
501
+ paper: https://arxiv.org/abs/2511.17441
502
+ repository: https://github.com/FlagOpen/RoboCOIN
503
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
504
+ us.
505
+ support_info: For technical support, please open an issue on our GitHub repository.
506
+ license_details: apache-2.0
507
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
508
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
509
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
510
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
511
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
512
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
513
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
514
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
515
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
516
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
517
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
518
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
519
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
520
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
521
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
522
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
523
+ additional_citations: 'If you use this dataset, please also consider citing:
524
+
525
+ LeRobot Framework: https://github.com/huggingface/lerobot
526
+
527
+ '
528
+ version_info: Initial Release
529
+ data_path: data/chunk-{id}/episode_{id}.parquet
530
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
531
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_close_drawer_bottom.yaml ADDED
@@ -0,0 +1,492 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_close_drawer_bottom
24
+ dataset_uuid: 2a4061d6-3481-43bf-8a3e-c6af26260c12
25
+ scene_type:
26
+ level1: office
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: three_layer_transparent_drawer
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Close the bottom drawer with the gripper.
40
+ sub_tasks:
41
+ - subtask: End.
42
+ subtask_index: 0
43
+ - subtask: contact the bottom layer of the storage cabinet.
44
+ subtask_index: 1
45
+ - subtask: Push the bottom drawer closed.
46
+ subtask_index: 2
47
+ - subtask: null.
48
+ subtask_index: 3
49
+ atomic_actions:
50
+ - grasp
51
+ - push
52
+ robot_name:
53
+ - Agilex_Cobot_Magic
54
+ end_effector_type: two_finger_end_effector
55
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
56
+ type information.
57
+ sensor_list:
58
+ - cam_head_rgb
59
+ - cam_left_wrist_rgb
60
+ - cam_right_wrist_rgb
61
+ came_info:
62
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
63
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
64
+ pix_fmt=yuv420p
65
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
66
+ pix_fmt=yuv420p
67
+ depth_enabled: false
68
+ coordinate_definition: right-hand-frame
69
+ joint_rotation_dim: radian
70
+ end_translation_dim: meter
71
+ annotations:
72
+ - eef_acc_mag_annotation.jsonl
73
+ - eef_direction_annotation.jsonl
74
+ - eef_velocity_annotation.jsonl
75
+ - gripper_activity_annotation.jsonl
76
+ - gripper_mode_annotation.jsonl
77
+ - scene_annotations.jsonl
78
+ - subtask_annotations.jsonl
79
+ statistics:
80
+ total_episodes: 50
81
+ total_frames: 16270
82
+ fps: 30
83
+ total_tasks: 4
84
+ total_videos: 150
85
+ total_chunks: 1
86
+ chunks_size: 1000
87
+ state_dim: 26
88
+ action_dim: 26
89
+ camera_views: 3
90
+ dataset_size: 157.62 MB
91
+ frame_num: 16270
92
+ frame_range: 100K
93
+ dataset_size: 157.62 MB
94
+ data_structure: 'Agilex_Cobot_Magic_close_drawer_bottom_qced_hardlink/
95
+
96
+ |-- annotations
97
+
98
+ | |-- eef_acc_mag_annotation.jsonl
99
+
100
+ | |-- eef_direction_annotation.jsonl
101
+
102
+ | |-- eef_velocity_annotation.jsonl
103
+
104
+ | |-- gripper_activity_annotation.jsonl
105
+
106
+ | |-- gripper_mode_annotation.jsonl
107
+
108
+ | |-- scene_annotations.jsonl
109
+
110
+ | `-- subtask_annotations.jsonl
111
+
112
+ |-- backup
113
+
114
+ | |-- data
115
+
116
+ | | `-- chunk-000
117
+
118
+ | `-- meta
119
+
120
+ | |-- episodes.jsonl
121
+
122
+ | |-- episodes_stats.jsonl
123
+
124
+ | |-- info.json
125
+
126
+ | `-- tasks.jsonl
127
+
128
+ |-- data
129
+
130
+ | `-- chunk-000
131
+
132
+ | |-- episode_000000.parquet
133
+
134
+ | |-- episode_000001.parquet
135
+
136
+ | |-- episode_000002.parquet
137
+
138
+ | |-- episode_000003.parquet
139
+
140
+ | |-- episode_000004.parquet
141
+
142
+ | |-- episode_000005.parquet
143
+
144
+ | |-- episode_000006.parquet
145
+
146
+ | |-- episode_000007.parquet
147
+
148
+ | |-- episode_000008.parquet
149
+
150
+ | |-- episode_000009.parquet
151
+
152
+ | |-- episode_000010.parquet
153
+
154
+ | `-- episode_000011.parquet
155
+
156
+ | `-- ... (38 more entries)
157
+
158
+ |-- meta
159
+
160
+ | |-- episodes.jsonl
161
+
162
+ | |-- episodes_stats.jsonl
163
+
164
+ | |-- info.json
165
+
166
+ | `-- tasks.jsonl
167
+
168
+ |-- videos
169
+
170
+ | `-- chunk-000
171
+
172
+ | |-- observation.images.cam_head_rgb
173
+
174
+ | |-- observation.images.cam_left_wrist_rgb
175
+
176
+ | `-- observation.images.cam_right_wrist_rgb
177
+
178
+ |-- info.yaml
179
+
180
+ `-- README.md'
181
+ splits:
182
+ train: 0:49
183
+ features:
184
+ observation.images.cam_head_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.images.cam_left_wrist_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_right_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.state:
242
+ dtype: float32
243
+ shape:
244
+ - 26
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
+ - left_gripper_open
253
+ - left_eef_pos_x_m
254
+ - left_eef_pos_y_m
255
+ - left_eef_pos_z_m
256
+ - left_eef_rot_euler_x_rad
257
+ - left_eef_rot_euler_y_rad
258
+ - left_eef_rot_euler_z_rad
259
+ - right_arm_joint_1_rad
260
+ - right_arm_joint_2_rad
261
+ - right_arm_joint_3_rad
262
+ - right_arm_joint_4_rad
263
+ - right_arm_joint_5_rad
264
+ - right_arm_joint_6_rad
265
+ - right_gripper_open
266
+ - right_eef_pos_x_m
267
+ - right_eef_pos_y_m
268
+ - right_eef_pos_z_m
269
+ - right_eef_rot_euler_x_rad
270
+ - right_eef_rot_euler_y_rad
271
+ - right_eef_rot_euler_z_rad
272
+ action:
273
+ dtype: float32
274
+ shape:
275
+ - 26
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
+ - left_gripper_open
284
+ - left_eef_pos_x_m
285
+ - left_eef_pos_y_m
286
+ - left_eef_pos_z_m
287
+ - left_eef_rot_euler_x_rad
288
+ - left_eef_rot_euler_y_rad
289
+ - left_eef_rot_euler_z_rad
290
+ - right_arm_joint_1_rad
291
+ - right_arm_joint_2_rad
292
+ - right_arm_joint_3_rad
293
+ - right_arm_joint_4_rad
294
+ - right_arm_joint_5_rad
295
+ - right_arm_joint_6_rad
296
+ - right_gripper_open
297
+ - right_eef_pos_x_m
298
+ - right_eef_pos_y_m
299
+ - right_eef_pos_z_m
300
+ - right_eef_rot_euler_x_rad
301
+ - right_eef_rot_euler_y_rad
302
+ - right_eef_rot_euler_z_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
+ dtype: int32
331
+ shape:
332
+ - 5
333
+ scene_annotation:
334
+ names: null
335
+ dtype: int32
336
+ shape:
337
+ - 1
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
+ dtype: float32
353
+ shape:
354
+ - 12
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
+ dtype: float32
370
+ shape:
371
+ - 12
372
+ eef_direction_state:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_direction_action:
380
+ names:
381
+ - left_eef_direction
382
+ - right_eef_direction
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_state:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_velocity_action:
394
+ names:
395
+ - left_eef_velocity
396
+ - right_eef_velocity
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_state:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_acc_mag_action:
408
+ names:
409
+ - left_eef_acc_mag
410
+ - right_eef_acc_mag
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ gripper_mode_state:
415
+ names:
416
+ - left_gripper_mode
417
+ - right_gripper_mode
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ gripper_mode_action:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_activity_state:
429
+ names:
430
+ - left_gripper_activity
431
+ - right_gripper_activity
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_action:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ gripper_open_scale_state:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ dtype: float32
447
+ shape:
448
+ - 2
449
+ gripper_open_scale_action:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ dtype: float32
454
+ shape:
455
+ - 2
456
+ authors:
457
+ contributed_by:
458
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
459
+ dataset_description: This dataset uses an extended format based on LeRobot and is
460
+ fully compatible with LeRobot.
461
+ homepage: https://flagopen.github.io/RoboCOIN/
462
+ paper: https://arxiv.org/abs/2511.17441
463
+ repository: https://github.com/FlagOpen/RoboCOIN
464
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
465
+ us.
466
+ support_info: For technical support, please open an issue on our GitHub repository.
467
+ license_details: apache-2.0
468
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
469
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
470
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
471
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
472
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
473
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
474
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
475
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
476
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
477
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
478
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
479
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
480
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
481
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
482
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
483
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
484
+ additional_citations: 'If you use this dataset, please also consider citing:
485
+
486
+ LeRobot Framework: https://github.com/huggingface/lerobot
487
+
488
+ '
489
+ version_info: Initial Release
490
+ data_path: data/chunk-{id}/episode_{id}.parquet
491
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
492
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_close_drawer_top.yaml ADDED
@@ -0,0 +1,492 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_close_drawer_top
24
+ dataset_uuid: 15b13262-1e11-4077-8f08-322acc523c16
25
+ scene_type:
26
+ level1: office
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: three_layer_transparent_drawer
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Close the top drawer with the gripper.
40
+ sub_tasks:
41
+ - subtask: End.
42
+ subtask_index: 0
43
+ - subtask: Push the top drawer closed.
44
+ subtask_index: 1
45
+ - subtask: touch the topmost layer of the storage cabinet.
46
+ subtask_index: 2
47
+ - subtask: null.
48
+ subtask_index: 3
49
+ atomic_actions:
50
+ - grasp
51
+ - push
52
+ robot_name:
53
+ - Agilex_Cobot_Magic
54
+ end_effector_type: two_finger_end_effector
55
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
56
+ type information.
57
+ sensor_list:
58
+ - cam_head_rgb
59
+ - cam_left_wrist_rgb
60
+ - cam_right_wrist_rgb
61
+ came_info:
62
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
63
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
64
+ pix_fmt=yuv420p
65
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
66
+ pix_fmt=yuv420p
67
+ depth_enabled: false
68
+ coordinate_definition: right-hand-frame
69
+ joint_rotation_dim: radian
70
+ end_translation_dim: meter
71
+ annotations:
72
+ - eef_acc_mag_annotation.jsonl
73
+ - eef_direction_annotation.jsonl
74
+ - eef_velocity_annotation.jsonl
75
+ - gripper_activity_annotation.jsonl
76
+ - gripper_mode_annotation.jsonl
77
+ - scene_annotations.jsonl
78
+ - subtask_annotations.jsonl
79
+ statistics:
80
+ total_episodes: 50
81
+ total_frames: 9800
82
+ fps: 30
83
+ total_tasks: 4
84
+ total_videos: 150
85
+ total_chunks: 1
86
+ chunks_size: 1000
87
+ state_dim: 26
88
+ action_dim: 26
89
+ camera_views: 3
90
+ dataset_size: 96.54 MB
91
+ frame_num: 9800
92
+ frame_range: 10K
93
+ dataset_size: 96.54 MB
94
+ data_structure: 'Agilex_Cobot_Magic_close_drawer_top_qced_hardlink/
95
+
96
+ |-- annotations
97
+
98
+ | |-- eef_acc_mag_annotation.jsonl
99
+
100
+ | |-- eef_direction_annotation.jsonl
101
+
102
+ | |-- eef_velocity_annotation.jsonl
103
+
104
+ | |-- gripper_activity_annotation.jsonl
105
+
106
+ | |-- gripper_mode_annotation.jsonl
107
+
108
+ | |-- scene_annotations.jsonl
109
+
110
+ | `-- subtask_annotations.jsonl
111
+
112
+ |-- backup
113
+
114
+ | |-- data
115
+
116
+ | | `-- chunk-000
117
+
118
+ | `-- meta
119
+
120
+ | |-- episodes.jsonl
121
+
122
+ | |-- episodes_stats.jsonl
123
+
124
+ | |-- info.json
125
+
126
+ | `-- tasks.jsonl
127
+
128
+ |-- data
129
+
130
+ | `-- chunk-000
131
+
132
+ | |-- episode_000000.parquet
133
+
134
+ | |-- episode_000001.parquet
135
+
136
+ | |-- episode_000002.parquet
137
+
138
+ | |-- episode_000003.parquet
139
+
140
+ | |-- episode_000004.parquet
141
+
142
+ | |-- episode_000005.parquet
143
+
144
+ | |-- episode_000006.parquet
145
+
146
+ | |-- episode_000007.parquet
147
+
148
+ | |-- episode_000008.parquet
149
+
150
+ | |-- episode_000009.parquet
151
+
152
+ | |-- episode_000010.parquet
153
+
154
+ | `-- episode_000011.parquet
155
+
156
+ | `-- ... (38 more entries)
157
+
158
+ |-- meta
159
+
160
+ | |-- episodes.jsonl
161
+
162
+ | |-- episodes_stats.jsonl
163
+
164
+ | |-- info.json
165
+
166
+ | `-- tasks.jsonl
167
+
168
+ |-- videos
169
+
170
+ | `-- chunk-000
171
+
172
+ | |-- observation.images.cam_head_rgb
173
+
174
+ | |-- observation.images.cam_left_wrist_rgb
175
+
176
+ | `-- observation.images.cam_right_wrist_rgb
177
+
178
+ |-- info.yaml
179
+
180
+ `-- README.md'
181
+ splits:
182
+ train: 0:49
183
+ features:
184
+ observation.images.cam_head_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.images.cam_left_wrist_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_right_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.state:
242
+ dtype: float32
243
+ shape:
244
+ - 26
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
+ - left_gripper_open
253
+ - left_eef_pos_x_m
254
+ - left_eef_pos_y_m
255
+ - left_eef_pos_z_m
256
+ - left_eef_rot_euler_x_rad
257
+ - left_eef_rot_euler_y_rad
258
+ - left_eef_rot_euler_z_rad
259
+ - right_arm_joint_1_rad
260
+ - right_arm_joint_2_rad
261
+ - right_arm_joint_3_rad
262
+ - right_arm_joint_4_rad
263
+ - right_arm_joint_5_rad
264
+ - right_arm_joint_6_rad
265
+ - right_gripper_open
266
+ - right_eef_pos_x_m
267
+ - right_eef_pos_y_m
268
+ - right_eef_pos_z_m
269
+ - right_eef_rot_euler_x_rad
270
+ - right_eef_rot_euler_y_rad
271
+ - right_eef_rot_euler_z_rad
272
+ action:
273
+ dtype: float32
274
+ shape:
275
+ - 26
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
+ - left_gripper_open
284
+ - left_eef_pos_x_m
285
+ - left_eef_pos_y_m
286
+ - left_eef_pos_z_m
287
+ - left_eef_rot_euler_x_rad
288
+ - left_eef_rot_euler_y_rad
289
+ - left_eef_rot_euler_z_rad
290
+ - right_arm_joint_1_rad
291
+ - right_arm_joint_2_rad
292
+ - right_arm_joint_3_rad
293
+ - right_arm_joint_4_rad
294
+ - right_arm_joint_5_rad
295
+ - right_arm_joint_6_rad
296
+ - right_gripper_open
297
+ - right_eef_pos_x_m
298
+ - right_eef_pos_y_m
299
+ - right_eef_pos_z_m
300
+ - right_eef_rot_euler_x_rad
301
+ - right_eef_rot_euler_y_rad
302
+ - right_eef_rot_euler_z_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
+ dtype: int32
331
+ shape:
332
+ - 5
333
+ scene_annotation:
334
+ names: null
335
+ dtype: int32
336
+ shape:
337
+ - 1
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
+ dtype: float32
353
+ shape:
354
+ - 12
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
+ dtype: float32
370
+ shape:
371
+ - 12
372
+ eef_direction_state:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_direction_action:
380
+ names:
381
+ - left_eef_direction
382
+ - right_eef_direction
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_state:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_velocity_action:
394
+ names:
395
+ - left_eef_velocity
396
+ - right_eef_velocity
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_state:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_acc_mag_action:
408
+ names:
409
+ - left_eef_acc_mag
410
+ - right_eef_acc_mag
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ gripper_mode_state:
415
+ names:
416
+ - left_gripper_mode
417
+ - right_gripper_mode
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ gripper_mode_action:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_activity_state:
429
+ names:
430
+ - left_gripper_activity
431
+ - right_gripper_activity
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_action:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ gripper_open_scale_state:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ dtype: float32
447
+ shape:
448
+ - 2
449
+ gripper_open_scale_action:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ dtype: float32
454
+ shape:
455
+ - 2
456
+ authors:
457
+ contributed_by:
458
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
459
+ dataset_description: This dataset uses an extended format based on LeRobot and is
460
+ fully compatible with LeRobot.
461
+ homepage: https://flagopen.github.io/RoboCOIN/
462
+ paper: https://arxiv.org/abs/2511.17441
463
+ repository: https://github.com/FlagOpen/RoboCOIN
464
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
465
+ us.
466
+ support_info: For technical support, please open an issue on our GitHub repository.
467
+ license_details: apache-2.0
468
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
469
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
470
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
471
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
472
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
473
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
474
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
475
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
476
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
477
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
478
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
479
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
480
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
481
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
482
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
483
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
484
+ additional_citations: 'If you use this dataset, please also consider citing:
485
+
486
+ LeRobot Framework: https://github.com/huggingface/lerobot
487
+
488
+ '
489
+ version_info: Initial Release
490
+ data_path: data/chunk-{id}/episode_{id}.parquet
491
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
492
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_close_drawer_upper.yaml ADDED
@@ -0,0 +1,496 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_close_drawer_upper
24
+ dataset_uuid: 774e0698-f498-4029-a2b3-1bb3944a4ee9
25
+ scene_type:
26
+ level1: office
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: three_layer_transparent_drawer
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Close the upper drawer with the gripper.
40
+ sub_tasks:
41
+ - subtask: touch the topmost layer of the storage cabinet.
42
+ subtask_index: 0
43
+ - subtask: Push the top drawer closed.
44
+ subtask_index: 1
45
+ - subtask: contact the middle shelf of the cabinet.
46
+ subtask_index: 2
47
+ - subtask: End.
48
+ subtask_index: 3
49
+ - subtask: Push the middle drawer closed.
50
+ subtask_index: 4
51
+ - subtask: null.
52
+ subtask_index: 5
53
+ atomic_actions:
54
+ - grasp
55
+ - push
56
+ robot_name:
57
+ - Agilex_Cobot_Magic
58
+ end_effector_type: two_finger_end_effector
59
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
60
+ type information.
61
+ sensor_list:
62
+ - cam_head_rgb
63
+ - cam_left_wrist_rgb
64
+ - cam_right_wrist_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
+ depth_enabled: false
72
+ coordinate_definition: right-hand-frame
73
+ joint_rotation_dim: radian
74
+ end_translation_dim: meter
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: 173
85
+ total_frames: 49994
86
+ fps: 30
87
+ total_tasks: 6
88
+ total_videos: 519
89
+ total_chunks: 1
90
+ chunks_size: 1000
91
+ state_dim: 26
92
+ action_dim: 26
93
+ camera_views: 3
94
+ dataset_size: 522.40 MB
95
+ frame_num: 49994
96
+ frame_range: 100K
97
+ dataset_size: 522.40 MB
98
+ data_structure: 'Agilex_Cobot_Magic_close_drawer_upper_qced_hardlink/
99
+
100
+ |-- annotations
101
+
102
+ | |-- eef_acc_mag_annotation.jsonl
103
+
104
+ | |-- eef_direction_annotation.jsonl
105
+
106
+ | |-- eef_velocity_annotation.jsonl
107
+
108
+ | |-- gripper_activity_annotation.jsonl
109
+
110
+ | |-- gripper_mode_annotation.jsonl
111
+
112
+ | |-- scene_annotations.jsonl
113
+
114
+ | `-- subtask_annotations.jsonl
115
+
116
+ |-- backup
117
+
118
+ | |-- data
119
+
120
+ | | `-- chunk-000
121
+
122
+ | `-- meta
123
+
124
+ | |-- episodes.jsonl
125
+
126
+ | |-- episodes_stats.jsonl
127
+
128
+ | |-- info.json
129
+
130
+ | `-- tasks.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
+ | `-- ... (161 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: 0:172
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
+ - 26
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
+ - left_gripper_open
257
+ - left_eef_pos_x_m
258
+ - left_eef_pos_y_m
259
+ - left_eef_pos_z_m
260
+ - left_eef_rot_euler_x_rad
261
+ - left_eef_rot_euler_y_rad
262
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
270
+ - right_eef_pos_x_m
271
+ - right_eef_pos_y_m
272
+ - right_eef_pos_z_m
273
+ - right_eef_rot_euler_x_rad
274
+ - right_eef_rot_euler_y_rad
275
+ - right_eef_rot_euler_z_rad
276
+ action:
277
+ dtype: float32
278
+ shape:
279
+ - 26
280
+ names:
281
+ - left_arm_joint_1_rad
282
+ - left_arm_joint_2_rad
283
+ - left_arm_joint_3_rad
284
+ - left_arm_joint_4_rad
285
+ - left_arm_joint_5_rad
286
+ - left_arm_joint_6_rad
287
+ - left_gripper_open
288
+ - left_eef_pos_x_m
289
+ - left_eef_pos_y_m
290
+ - left_eef_pos_z_m
291
+ - left_eef_rot_euler_x_rad
292
+ - left_eef_rot_euler_y_rad
293
+ - left_eef_rot_euler_z_rad
294
+ - right_arm_joint_1_rad
295
+ - right_arm_joint_2_rad
296
+ - right_arm_joint_3_rad
297
+ - right_arm_joint_4_rad
298
+ - right_arm_joint_5_rad
299
+ - right_arm_joint_6_rad
300
+ - right_gripper_open
301
+ - right_eef_pos_x_m
302
+ - right_eef_pos_y_m
303
+ - right_eef_pos_z_m
304
+ - right_eef_rot_euler_x_rad
305
+ - right_eef_rot_euler_y_rad
306
+ - right_eef_rot_euler_z_rad
307
+ timestamp:
308
+ dtype: float32
309
+ shape:
310
+ - 1
311
+ names: null
312
+ frame_index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ episode_index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ task_index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ subtask_annotation:
333
+ names: null
334
+ shape:
335
+ - 5
336
+ dtype: int32
337
+ scene_annotation:
338
+ names: null
339
+ shape:
340
+ - 1
341
+ dtype: int32
342
+ eef_sim_pose_state:
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_sim_pose_action:
360
+ names:
361
+ - left_eef_pos_x
362
+ - left_eef_pos_y
363
+ - left_eef_pos_z
364
+ - left_eef_rot_x
365
+ - left_eef_rot_y
366
+ - left_eef_rot_z
367
+ - right_eef_pos_x
368
+ - right_eef_pos_y
369
+ - right_eef_pos_z
370
+ - right_eef_rot_x
371
+ - right_eef_rot_y
372
+ - right_eef_rot_z
373
+ shape:
374
+ - 12
375
+ dtype: float32
376
+ eef_direction_state:
377
+ names:
378
+ - left_eef_direction
379
+ - right_eef_direction
380
+ shape:
381
+ - 2
382
+ dtype: int32
383
+ eef_direction_action:
384
+ names:
385
+ - left_eef_direction
386
+ - right_eef_direction
387
+ shape:
388
+ - 2
389
+ dtype: int32
390
+ eef_velocity_state:
391
+ names:
392
+ - left_eef_velocity
393
+ - right_eef_velocity
394
+ shape:
395
+ - 2
396
+ dtype: int32
397
+ eef_velocity_action:
398
+ names:
399
+ - left_eef_velocity
400
+ - right_eef_velocity
401
+ shape:
402
+ - 2
403
+ dtype: int32
404
+ eef_acc_mag_state:
405
+ names:
406
+ - left_eef_acc_mag
407
+ - right_eef_acc_mag
408
+ shape:
409
+ - 2
410
+ dtype: int32
411
+ eef_acc_mag_action:
412
+ names:
413
+ - left_eef_acc_mag
414
+ - right_eef_acc_mag
415
+ shape:
416
+ - 2
417
+ dtype: int32
418
+ gripper_mode_state:
419
+ names:
420
+ - left_gripper_mode
421
+ - right_gripper_mode
422
+ shape:
423
+ - 2
424
+ dtype: int32
425
+ gripper_mode_action:
426
+ names:
427
+ - left_gripper_mode
428
+ - right_gripper_mode
429
+ shape:
430
+ - 2
431
+ dtype: int32
432
+ gripper_activity_state:
433
+ names:
434
+ - left_gripper_activity
435
+ - right_gripper_activity
436
+ shape:
437
+ - 2
438
+ dtype: int32
439
+ gripper_activity_action:
440
+ names:
441
+ - left_gripper_activity
442
+ - right_gripper_activity
443
+ shape:
444
+ - 2
445
+ dtype: int32
446
+ gripper_open_scale_state:
447
+ names:
448
+ - left_gripper_open_scale
449
+ - right_gripper_open_scale
450
+ dtype: float32
451
+ shape:
452
+ - 2
453
+ gripper_open_scale_action:
454
+ names:
455
+ - left_gripper_open_scale
456
+ - right_gripper_open_scale
457
+ dtype: float32
458
+ shape:
459
+ - 2
460
+ authors:
461
+ contributed_by:
462
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
463
+ dataset_description: This dataset uses an extended format based on LeRobot and is
464
+ fully compatible with LeRobot.
465
+ homepage: https://flagopen.github.io/RoboCOIN/
466
+ paper: https://arxiv.org/abs/2511.17441
467
+ repository: https://github.com/FlagOpen/RoboCOIN
468
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
469
+ us.
470
+ support_info: For technical support, please open an issue on our GitHub repository.
471
+ license_details: apache-2.0
472
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
473
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
474
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
475
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
476
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
477
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
478
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
479
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
480
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
481
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
482
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
483
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
484
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
485
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
486
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
487
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
488
+ additional_citations: 'If you use this dataset, please also consider citing:
489
+
490
+ LeRobot Framework: https://github.com/huggingface/lerobot
491
+
492
+ '
493
+ version_info: Initial Release
494
+ data_path: data/chunk-{id}/episode_{id}.parquet
495
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
496
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_connect_block.yaml ADDED
@@ -0,0 +1,1087 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: d05eddf5-fcba-47ca-9b30-a4fb190f803b
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
+ - object_name: square_building_blocks
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Assemble the scattered blocks together according to the building block template
40
+ in front.
41
+ sub_tasks:
42
+ - subtask: place the yellow build block on the right of the green build block.
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+ subtask_index: 0
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+ - subtask: place the blue build block on the behind of the green build block.
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+ - subtask: place the yellow build block in the center of the table.
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+ - subtask: place the blue build block on the right of the yellow build block.
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+ - subtask: place the green build block on the red build block.
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+ - subtask: place the orange build block on the right of the red build block.
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+ - subtask: place the orange build block on the right of the blue build block.
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+ - subtask: place the green build block on the left of the blue build block.
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+ - subtask: place the blue build block on the left of the yellow build block.
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+ - subtask: place the yellow build block on the right of the green build block.
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+ - subtask: place the orange build block on the front of the blue build block.
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+ - subtask: place the orange build block on the left of the green build block.
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+ - subtask: place the blue build block on the right of the green build block.
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+ subtask_index: 14
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+ - subtask: place the green build block on the behind of the blue build block.
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+ subtask_index: 15
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+ - subtask: place the orange build block on the right of the build block.
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+ subtask_index: 16
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+ - subtask: place the orange build block on the right of the green build block.
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+ - subtask: place the red build block on the behind of the orange build block.
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+ - subtask: place the blue build block on the behind of the green build block.
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+ - subtask: place the yellow build block in the center of the table.
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+ subtask_index: 23
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+ - subtask: place the green build block on the behind of the yellow build block.
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+ - subtask: place the orange build block on the left of the blue build block.
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+ - subtask: place the red build block on the right of the blue build block.
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+ subtask_index: 26
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+ - subtask: place the yellow build block in the center of the table.
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+ subtask_index: 27
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+ - subtask: place the red build block on the behind of the blue build block.
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+ - subtask: place the blue build block on the behind of the orange build block.
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+ - subtask: place the orange build block on the behind of the green build block.
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+ - subtask: place the yellow build block on the front of the orange build block.
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+ subtask_index: 32
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+ - subtask: place the blue build block on the right of the green build block.
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+ subtask_index: 33
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+ - subtask: place the blue build block on the right of the red build block.
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+ subtask_index: 34
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+ - subtask: place the red build block on the behind of the orange build block.
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+ subtask_index: 35
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+ - subtask: place the yellow build block on the behind of the green build block.
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+ subtask_index: 36
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+ - subtask: place the red build block on the right of the blue build block.
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+ - subtask: place the green build block on the behind of the yellow build block.
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+ - subtask: place the yellow build block on the behind of the green build block.
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+ subtask_index: 39
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+ - subtask: place the orange build block on the behind of the red build block.
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+ subtask_index: 40
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+ - subtask: place theyellow build block on the behind of the blue build block.
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+ subtask_index: 41
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+ - subtask: place the green build block on the behind of the yellow build block.
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+ subtask_index: 42
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+ - subtask: place the red build block on the right of the orange build block.
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+ subtask_index: 43
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+ - subtask: place the yellow build block on the right of the red build block.
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+ subtask_index: 44
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+ - subtask: place the blue build block on the right of the orange build block.
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+ subtask_index: 45
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+ - subtask: place the green build block on the right of the yellow build block.
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+ subtask_index: 46
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+ - subtask: place the orange build block in the center of the table.
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+ subtask_index: 47
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+ - subtask: place the green build block on the orange build block.
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+ subtask_index: 48
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+ - subtask: place the yellow build block on the right of the blue build block.
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+ - subtask: place the green build block on the right of the red build block.
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+ - subtask: place the green build block on the right of the orange build block.
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+ - subtask: place the blue build block in the center of the table.
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+ - subtask: place the orange build block on the behind of the green build block.
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+ - subtask: place the red build block on the right of the yellow build block.
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+ - subtask: place the blue build block on the behind of the green build block.
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+ subtask_index: 56
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+ - subtask: place the orange build block on the right of the blue build block.
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+ subtask_index: 57
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+ - subtask: place the yellow build block on the behind of the orange build block.
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+ - subtask: place the orange build block in the center of the table.
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+ subtask_index: 59
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+ - subtask: place the blue build block on the right of the yellow build block.
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+ subtask_index: 60
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+ - subtask: place the orange build block on the behind of the yellow build block.
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+ - subtask: place the blue build block on the behind of the orange build block.
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+ - subtask: place the blue build block in the center of the table.
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+ - subtask: place the red build block on the behind of the yellow build block.
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+ subtask_index: 72
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+ - subtask: place the green build block on the right of the orange build block.
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+ subtask_index: 74
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+ - subtask: place the red build block on the blue build block.
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+ subtask_index: 75
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+ - subtask: place the orange build block on the left of the yellow build block.
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+ subtask_index: 76
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+ - subtask: place the green build block on the right of the red build block.
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+ subtask_index: 77
198
+ - subtask: place the red build block on the left of the orange build block.
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+ subtask_index: 78
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+ - subtask: place the orange build block on the right of the blue build block.
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+ subtask_index: 79
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+ - subtask: place the red build block on the right of the orange build block.
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+ subtask_index: 80
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+ - subtask: place the orange build block on the behind of the yellow build block.
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+ subtask_index: 81
206
+ - subtask: place the yellow build block in the center of the table.
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+ subtask_index: 82
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+ - subtask: place the yellow build block on the behind of the red build block.
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+ subtask_index: 83
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+ - subtask: place the yellow build block on the behind of the blue build block.
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+ subtask_index: 84
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+ - subtask: place the orange build block on the behind of the red build block.
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214
+ - subtask: place the yellow build block in the center of the table.
215
+ subtask_index: 86
216
+ - subtask: place the green build block on the right of the blue build block.
217
+ subtask_index: 87
218
+ - subtask: place the orange build block on the right of the yellow build block.
219
+ subtask_index: 88
220
+ - subtask: place the blue build block on the right of the yellow build block.
221
+ subtask_index: 89
222
+ - subtask: place the red build block on the right of the green build block.
223
+ subtask_index: 90
224
+ - subtask: place the orange build block on the behind of the yellow build block.
225
+ subtask_index: 91
226
+ - subtask: place the yellow build block on the blue build block.
227
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228
+ - subtask: place the red build block on the right of the orange build block.
229
+ subtask_index: 93
230
+ - subtask: place the bluebuild block on the right of the yellow build block.
231
+ subtask_index: 94
232
+ - subtask: place the red build block in the center of the table.
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+ subtask_index: 95
234
+ - subtask: place the red build block on the blue build block.
235
+ subtask_index: 96
236
+ - subtask: place the orange build block on the right of the blue build block.
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238
+ - subtask: place the blue build block on the behind of the orange build block.
239
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+ subtask_index: 99
242
+ - subtask: place the yellow build block on the behind of the green build block.
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+ subtask_index: 100
244
+ - subtask: place the yellow build block on the right of the orange build block.
245
+ subtask_index: 101
246
+ - subtask: place the orange build block on the behind of the blue build block.
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+ subtask_index: 102
248
+ - subtask: place the orange build block on the right of the red build block.
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+ subtask_index: 103
250
+ - subtask: place the green build block on the behind of the orange build block.
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+ subtask_index: 104
252
+ - subtask: place the blue build block on the behind of the yellow build block.
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+ subtask_index: 105
254
+ - subtask: place the yellow build block on the right of the orange build block.
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+ subtask_index: 106
256
+ - subtask: place the green build block on the behind of the yellow build block.
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+ subtask_index: 107
258
+ - subtask: place the green build block on the right of the red build block.
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+ subtask_index: 109
262
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263
+ subtask_index: 110
264
+ - subtask: place the red build block on the behind of the orange build block.
265
+ subtask_index: 111
266
+ - subtask: place the red build block on the left of the green build block.
267
+ subtask_index: 112
268
+ - subtask: place the green build block on the behind of the yellow build block.
269
+ subtask_index: 113
270
+ - subtask: place blue the build block on the right of the red build block.
271
+ subtask_index: 114
272
+ - subtask: place the green build block on the orange build block.
273
+ subtask_index: 115
274
+ - subtask: place the orange build block on the right of the red build block.
275
+ subtask_index: 116
276
+ - subtask: place the blue build block on the right of the green build block.
277
+ subtask_index: 117
278
+ - subtask: place the yellow build block on the right of the blue build block.
279
+ subtask_index: 118
280
+ - subtask: place the orange build block on the behind of the blue build block.
281
+ subtask_index: 119
282
+ - subtask: place the yellow build block in the center of the table.
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+ subtask_index: 120
284
+ - subtask: place the yellow build block on the right of the green build block.
285
+ subtask_index: 121
286
+ - subtask: place the green build block on the behind of the yellow build block.
287
+ subtask_index: 122
288
+ - subtask: place the blue build block in the center of the table.
289
+ subtask_index: 123
290
+ - subtask: place the orange build block in the center of the table.
291
+ subtask_index: 124
292
+ - subtask: place the yellow build block on the right of the green build block.
293
+ subtask_index: 125
294
+ - subtask: place the red build block on the right of the yellow build block.
295
+ subtask_index: 126
296
+ - subtask: place the yellow build block on the behind of the red build block.
297
+ subtask_index: 127
298
+ - subtask: place the red build block on the behind of the green build block.
299
+ subtask_index: 128
300
+ - subtask: place the green build block on the behind of the blue build block.
301
+ subtask_index: 129
302
+ - subtask: place the green build block on the behind of the orange build block.
303
+ subtask_index: 130
304
+ - subtask: place the blue build block on the right of the green build block.
305
+ subtask_index: 131
306
+ - subtask: place the green build block in the center of the table.
307
+ subtask_index: 132
308
+ - subtask: place the green build block on the behind of the blue build block.
309
+ subtask_index: 133
310
+ - subtask: place the green build block on the left of the orange build block.
311
+ subtask_index: 134
312
+ - subtask: place the red build block on the behind of the yellow build block.
313
+ subtask_index: 135
314
+ - subtask: place the yellow build block on the right of the green build block.
315
+ subtask_index: 136
316
+ - subtask: place the blue build block on the behind of the red build block.
317
+ subtask_index: 137
318
+ - subtask: place the orange build block on the behind of the red build block.
319
+ subtask_index: 138
320
+ - subtask: place the blue build block on the behind of the green build block.
321
+ subtask_index: 139
322
+ - subtask: place the yellow build block on the blue build block.
323
+ subtask_index: 140
324
+ - subtask: place the red build block on the front of the green build block.
325
+ subtask_index: 141
326
+ - subtask: place the red build block on the left of the ornage build block.
327
+ subtask_index: 142
328
+ - subtask: place the green build block in the center of the table.
329
+ subtask_index: 143
330
+ - subtask: place the red build block on the right of the green build block.
331
+ subtask_index: 144
332
+ - subtask: place the yellow build block on the right of the orange build block.
333
+ subtask_index: 145
334
+ - subtask: place the yellow build block on the right of the blue build block.
335
+ subtask_index: 146
336
+ - subtask: place the XX build block on the XX build block.
337
+ subtask_index: 147
338
+ - subtask: place the yellow build block in the center of the table.
339
+ subtask_index: 148
340
+ - subtask: place the orange build block on the green build block.
341
+ subtask_index: 149
342
+ - subtask: End.
343
+ subtask_index: 150
344
+ - subtask: place the blue build block on the right of the red build block.
345
+ subtask_index: 151
346
+ - subtask: place the green build block on the right of the orange build block.
347
+ subtask_index: 152
348
+ - subtask: place the greem build block on the behind of the blue build block.
349
+ subtask_index: 153
350
+ - subtask: place the left build block on the left of the green build block.
351
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352
+ - subtask: place the green build block on the right of the orange build block.
353
+ subtask_index: 155
354
+ - subtask: place the red build block on the left of the blue build block.
355
+ subtask_index: 156
356
+ - subtask: place the blue build block on the right of the orange build block.
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358
+ - subtask: place the yellow build block on the behind of the orange build block.
359
+ subtask_index: 158
360
+ - subtask: place the green build block on the behind of the blue build block.
361
+ subtask_index: 159
362
+ - subtask: place the yellow build block on the right of the orange build block.
363
+ subtask_index: 160
364
+ - subtask: place the blue build block on the behind of the orange build block.
365
+ subtask_index: 161
366
+ - subtask: place the red build block on the front of the green build block.
367
+ subtask_index: 162
368
+ - subtask: place the red build block on the front of the yellow build block.
369
+ subtask_index: 163
370
+ - subtask: place the yellow build block on the behind of the blue build block.
371
+ subtask_index: 164
372
+ - subtask: place the blue build block on the orange build block.
373
+ subtask_index: 165
374
+ - subtask: place the green build block in the center of the table.
375
+ subtask_index: 166
376
+ - subtask: place the orange build block on the front of the blue build block.
377
+ subtask_index: 167
378
+ - subtask: place the blue build block on the right of the yellow build block.
379
+ subtask_index: 168
380
+ - subtask: place the blue build block on the left of the yellow build block.
381
+ subtask_index: 169
382
+ - subtask: place the orange build block on the right of the yellow build block.
383
+ subtask_index: 170
384
+ - subtask: place the orange build block on the left of the red build block.
385
+ subtask_index: 171
386
+ - subtask: place the green build block in the center of the table.
387
+ subtask_index: 172
388
+ - subtask: place the red build block on the right of the blue build block.
389
+ subtask_index: 173
390
+ - subtask: place the blue build block on the right of the yellow build block.
391
+ subtask_index: 174
392
+ - subtask: place the green build block on the right of the orange build block.
393
+ subtask_index: 175
394
+ - subtask: place the blue build block in the center of the table.
395
+ subtask_index: 176
396
+ - subtask: place the green build block on the right of the red build block.
397
+ subtask_index: 177
398
+ - subtask: place the green build block on the right of the blue build block.
399
+ subtask_index: 178
400
+ - subtask: place the yellow build block in the center of the table.
401
+ subtask_index: 179
402
+ - subtask: Abnormal.
403
+ subtask_index: 180
404
+ - subtask: place the red build block on the behind of the orange build block.
405
+ subtask_index: 181
406
+ - subtask: place the red build block on the yellow build block.
407
+ subtask_index: 182
408
+ - subtask: place the orange build block on the right of the yellow build block.
409
+ subtask_index: 183
410
+ - subtask: place the red build block on the right of the yellow build block.
411
+ subtask_index: 184
412
+ - subtask: place the orange build block on the right of the blue build block.
413
+ subtask_index: 185
414
+ - subtask: place the orange build block on the orange build block.
415
+ subtask_index: 186
416
+ - subtask: place the blue build block on the behind of the red build block.
417
+ subtask_index: 187
418
+ - subtask: place the yellow build block on the right of the blue build block.
419
+ subtask_index: 188
420
+ - subtask: place the yellow build block on the behind of the green build block.
421
+ subtask_index: 189
422
+ - subtask: place the yellow build block on the left of the blue build block.
423
+ subtask_index: 190
424
+ - subtask: place the yellow build block on the right of the orange build block.
425
+ subtask_index: 191
426
+ - subtask: place the yellow build block on the blue build block.
427
+ subtask_index: 192
428
+ - subtask: place the yellow build block on the behind of the blue build block.
429
+ subtask_index: 193
430
+ - subtask: place the green build block on the right of the blue build block.
431
+ subtask_index: 194
432
+ - subtask: place the orange build block on the right of the yellow build block.
433
+ subtask_index: 195
434
+ - subtask: place the red build block on the behind of the green build block.
435
+ subtask_index: 196
436
+ - subtask: place the red build block in the center of the table.
437
+ subtask_index: 197
438
+ - subtask: place the yellow build block on the behind of the blue build block.
439
+ subtask_index: 198
440
+ - subtask: place the green build block on the behind of the orange build block.
441
+ subtask_index: 199
442
+ - subtask: place the yellow build block on the behind of the red build block.
443
+ subtask_index: 200
444
+ - subtask: place the green build block on the right of the yellow build block.
445
+ subtask_index: 201
446
+ - subtask: place the green build block on the red build block.
447
+ subtask_index: 202
448
+ - subtask: place the blue build block on the right of the orange build block.
449
+ subtask_index: 203
450
+ - subtask: place the red build block on the behind of the orange build block.
451
+ subtask_index: 204
452
+ - subtask: place the red build block in the center of the table.
453
+ subtask_index: 205
454
+ - subtask: place the red build block in the center of the table.
455
+ subtask_index: 206
456
+ - subtask: place the green build block on the right of the orange build block.
457
+ subtask_index: 207
458
+ - subtask: place the green build block on the front of the blue build block.
459
+ subtask_index: 208
460
+ - subtask: place the yellow build block on the behind of the orange build block.
461
+ subtask_index: 209
462
+ - subtask: place the yellow build block on the behind of the blue build block.
463
+ subtask_index: 210
464
+ - subtask: place the green build block on the blue build block.
465
+ subtask_index: 211
466
+ - subtask: place the blue build block on the right of the yellow build block.
467
+ subtask_index: 212
468
+ - subtask: place the blue build block on the right of the orange build block.
469
+ subtask_index: 213
470
+ - subtask: place the orange build block on the left of the red build block.
471
+ subtask_index: 214
472
+ - subtask: place the orange build block on the right of the blue build block.
473
+ subtask_index: 215
474
+ - subtask: place the blue build block on the front of the green build block.
475
+ subtask_index: 216
476
+ - subtask: place the yellow build block on the orange build block.
477
+ subtask_index: 217
478
+ - subtask: place the yellow build block on the front of the red build block.
479
+ subtask_index: 218
480
+ - subtask: place the orange build block on the behind of the red build block.
481
+ subtask_index: 219
482
+ - subtask: place the yellow build block on the behind of the green build block.
483
+ subtask_index: 220
484
+ - subtask: place the blue build block on the right of orange the build block.
485
+ subtask_index: 221
486
+ - subtask: place the red build block on the right of the blue build block.
487
+ subtask_index: 222
488
+ - subtask: place the green build block on the behind of the orange build block.
489
+ subtask_index: 223
490
+ - subtask: place the green build block on the behind of the yellow build block.
491
+ subtask_index: 224
492
+ - subtask: place the yellow build block on the right of the green build block.
493
+ subtask_index: 225
494
+ - subtask: place the orange build block on the right of the green build block.
495
+ subtask_index: 226
496
+ - subtask: place the orange build block on the right of the yellow build block.
497
+ subtask_index: 227
498
+ - subtask: place the red build block on the green build block.
499
+ subtask_index: 228
500
+ - subtask: place the red build block on the right of the blue build block.
501
+ subtask_index: 229
502
+ - subtask: place the blue build block on the behind of the green build block.
503
+ subtask_index: 230
504
+ - subtask: place the orange build block on the right of the red build block.
505
+ subtask_index: 231
506
+ - subtask: place the blue build block on the red build block.
507
+ subtask_index: 232
508
+ - subtask: place the orange build block on the right of the blue build block.
509
+ subtask_index: 233
510
+ - subtask: place the orange build block on the left of the yellow build block.
511
+ subtask_index: 234
512
+ - subtask: place the right build block on the right of the yellow build block.
513
+ subtask_index: 235
514
+ - subtask: place the green build block on the right of the red build block.
515
+ subtask_index: 236
516
+ - subtask: place the orange build block on the right of the green build block.
517
+ subtask_index: 237
518
+ - subtask: place the blue build block in the center of the table.
519
+ subtask_index: 238
520
+ - subtask: place the orange build block on the behind of the yellow build block.
521
+ subtask_index: 239
522
+ - subtask: place the orange build block on the right of the blue build block.
523
+ subtask_index: 240
524
+ - subtask: place the orange build block on the behind of the blue build block.
525
+ subtask_index: 241
526
+ - subtask: place the red build block on the behind of the yellow build block.
527
+ subtask_index: 242
528
+ - subtask: place the ornage build block on the behind of the green build block.
529
+ subtask_index: 243
530
+ - subtask: place the blue build block on the left of the yellow build block.
531
+ subtask_index: 244
532
+ - subtask: place the green build block on the front of the blue build block.
533
+ subtask_index: 245
534
+ - subtask: place the green build block on the behind of the red build block.
535
+ subtask_index: 246
536
+ - subtask: place the green build block on the right of the orange build block.
537
+ subtask_index: 247
538
+ - subtask: place the green build block on the right of the orange build block.
539
+ subtask_index: 248
540
+ - subtask: place the yellow build block on the behind of the red build block.
541
+ subtask_index: 249
542
+ - subtask: place the blue build block on the green build block.
543
+ subtask_index: 250
544
+ - subtask: place the blue build block on the right of the orange build block.
545
+ subtask_index: 251
546
+ - subtask: place the orange build block on the right of the green build block.
547
+ subtask_index: 252
548
+ - subtask: place the orange build block on the behind of the yellow build block.
549
+ subtask_index: 253
550
+ - subtask: place the green build block in the center of the table.
551
+ subtask_index: 254
552
+ - subtask: place the blue build block on the behind of the orange build block.
553
+ subtask_index: 255
554
+ - subtask: place the green build block on the left of the orange build block.
555
+ subtask_index: 256
556
+ - subtask: place the green build block on the right of the yellow build block.
557
+ subtask_index: 257
558
+ - subtask: place the green build block on the left of the blue build block.
559
+ subtask_index: 258
560
+ - subtask: place the orange build block on the right of the green build block.
561
+ subtask_index: 259
562
+ - subtask: place the green build block on the orange build block.
563
+ subtask_index: 260
564
+ - subtask: place the blue build block on the behind of the green build block.
565
+ subtask_index: 261
566
+ - subtask: place the yellow build block on the behind of the red build block.
567
+ subtask_index: 262
568
+ - subtask: place the orange build block on the green build block.
569
+ subtask_index: 263
570
+ - subtask: place the red build block on the behind of the blue build block.
571
+ subtask_index: 264
572
+ - subtask: place the blue build block on the right of the orange build block.
573
+ subtask_index: 265
574
+ - subtask: move the build block to the center of the table.
575
+ subtask_index: 266
576
+ - subtask: place the green build block on the right of the red build block.
577
+ subtask_index: 267
578
+ - subtask: place the red build block on the behind of the green build block.
579
+ subtask_index: 268
580
+ - subtask: place the red build block on the behind of the blue build block.
581
+ subtask_index: 269
582
+ - subtask: place the yellow build block on the behind of the orange build block.
583
+ subtask_index: 270
584
+ - subtask: place the red build block on the right of the orange build block.
585
+ subtask_index: 271
586
+ - subtask: place the green build block on the right of the yellow build block.
587
+ subtask_index: 272
588
+ - subtask: place the red build block on the right of the yellow build block.
589
+ subtask_index: 273
590
+ - subtask: place the red build block in the center of the table.
591
+ subtask_index: 274
592
+ - subtask: place the red build block on the right of the blue build block.
593
+ subtask_index: 275
594
+ - subtask: place the yellow build block on the behind of the green build block.
595
+ subtask_index: 276
596
+ - subtask: place the red build block on the right of the orange build block.
597
+ subtask_index: 277
598
+ - subtask: place the blue build block on the right of the orange build block.
599
+ subtask_index: 278
600
+ - subtask: place the orange build block on the behind of the green build block.
601
+ subtask_index: 279
602
+ - subtask: place the blue build block on the front of the green build block.
603
+ subtask_index: 280
604
+ - subtask: place the ornage build block on the behind of the blue build block.
605
+ subtask_index: 281
606
+ - subtask: place the yellow build block on the behind of the orange build block.
607
+ subtask_index: 282
608
+ - subtask: place the green build block on the behind of the blue build block.
609
+ subtask_index: 283
610
+ - subtask: place the green build block on the left of the blue build block.
611
+ subtask_index: 284
612
+ - subtask: place the blue build block in the center of the table.
613
+ subtask_index: 285
614
+ - subtask: place the green build block on the right of the yellow build block.
615
+ subtask_index: 286
616
+ - subtask: place the yellow build block on the behind of the blue build block.
617
+ subtask_index: 287
618
+ - subtask: place the green build block on the right of the orange build block.
619
+ subtask_index: 288
620
+ - subtask: place the green build block on the blue build block.
621
+ subtask_index: 289
622
+ - subtask: place the orange build block on the behind of the blue build block.
623
+ subtask_index: 290
624
+ - subtask: place the red build block on the behind of the yellow build block.
625
+ subtask_index: 291
626
+ - subtask: place the orange build block on the blue build block.
627
+ subtask_index: 292
628
+ - subtask: place the green build block on the right of the orange build block.
629
+ subtask_index: 293
630
+ - subtask: place the orange build block on the left of the red build block.
631
+ subtask_index: 294
632
+ - subtask: place the green build block in the center of the table.
633
+ subtask_index: 295
634
+ - subtask: null.
635
+ subtask_index: 296
636
+ atomic_actions:
637
+ - grasp
638
+ - lift
639
+ - place
640
+ robot_name: Agilex_Cobot_Magic
641
+ end_effector_type: two_finger_end_effector
642
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
643
+ type information.
644
+ sensor_list:
645
+ - cam_head_rgb
646
+ - cam_left_wrist_rgb
647
+ - cam_right_wrist_rgb
648
+ - cam_front_chest_rgb
649
+ came_info:
650
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
651
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
652
+ pix_fmt=yuv420p
653
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
654
+ pix_fmt=yuv420p
655
+ cam_front_chest_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
656
+ pix_fmt=yuv420p
657
+ depth_enabled: false
658
+ coordinate_definition: right-hand-frame
659
+ joint_rotation_dim: radian
660
+ end_translation_dim: meter
661
+ annotations:
662
+ - eef_acc_mag_annotation.jsonl
663
+ - eef_direction_annotation.jsonl
664
+ - eef_velocity_annotation.jsonl
665
+ - gripper_activity_annotation.jsonl
666
+ - gripper_mode_annotation.jsonl
667
+ - scene_annotations.jsonl
668
+ - subtask_annotations.jsonl
669
+ statistics:
670
+ total_episodes: 238
671
+ total_frames: 232528
672
+ fps: 30
673
+ total_tasks: 297
674
+ total_videos: 952
675
+ total_chunks: 1
676
+ chunks_size: 1000
677
+ state_dim: 26
678
+ action_dim: 26
679
+ camera_views: 4
680
+ dataset_size: 2.20 GB
681
+ frame_num: 232528
682
+ frame_range: 1M
683
+ dataset_size: 2.20 GB
684
+ data_structure: 'Agilex_Cobot_Magic_connect_block_qced_hardlink/
685
+
686
+ |-- annotations
687
+
688
+ | |-- eef_acc_mag_annotation.jsonl
689
+
690
+ | |-- eef_direction_annotation.jsonl
691
+
692
+ | |-- eef_velocity_annotation.jsonl
693
+
694
+ | |-- gripper_activity_annotation.jsonl
695
+
696
+ | |-- gripper_mode_annotation.jsonl
697
+
698
+ | |-- scene_annotations.jsonl
699
+
700
+ | `-- subtask_annotations.jsonl
701
+
702
+ |-- data
703
+
704
+ | `-- chunk-000
705
+
706
+ | |-- episode_000000.parquet
707
+
708
+ | |-- episode_000001.parquet
709
+
710
+ | |-- episode_000002.parquet
711
+
712
+ | |-- episode_000003.parquet
713
+
714
+ | |-- episode_000004.parquet
715
+
716
+ | |-- episode_000005.parquet
717
+
718
+ | |-- episode_000006.parquet
719
+
720
+ | |-- episode_000007.parquet
721
+
722
+ | |-- episode_000008.parquet
723
+
724
+ | |-- episode_000009.parquet
725
+
726
+ | |-- episode_000010.parquet
727
+
728
+ | `-- episode_000011.parquet
729
+
730
+ | `-- ... (226 more entries)
731
+
732
+ |-- meta
733
+
734
+ | |-- episodes.jsonl
735
+
736
+ | |-- episodes_stats.jsonl
737
+
738
+ | |-- info.json
739
+
740
+ | `-- tasks.jsonl
741
+
742
+ |-- videos
743
+
744
+ | `-- chunk-000
745
+
746
+ | |-- observation.images.cam_front_chest_rgb
747
+
748
+ | |-- observation.images.cam_head_rgb
749
+
750
+ | |-- observation.images.cam_left_wrist_rgb
751
+
752
+ | `-- observation.images.cam_right_wrist_rgb
753
+
754
+ |-- info.yaml
755
+
756
+ `-- README.md'
757
+ splits:
758
+ train: 0:237
759
+ features:
760
+ observation.images.cam_head_rgb:
761
+ dtype: video
762
+ shape:
763
+ - 480
764
+ - 640
765
+ - 3
766
+ names:
767
+ - height
768
+ - width
769
+ - channels
770
+ info:
771
+ video.height: 480
772
+ video.width: 640
773
+ video.codec: av1
774
+ video.pix_fmt: yuv420p
775
+ video.is_depth_map: false
776
+ video.fps: 30
777
+ video.channels: 3
778
+ has_audio: false
779
+ observation.images.cam_left_wrist_rgb:
780
+ dtype: video
781
+ shape:
782
+ - 480
783
+ - 640
784
+ - 3
785
+ names:
786
+ - height
787
+ - width
788
+ - channels
789
+ info:
790
+ video.height: 480
791
+ video.width: 640
792
+ video.codec: av1
793
+ video.pix_fmt: yuv420p
794
+ video.is_depth_map: false
795
+ video.fps: 30
796
+ video.channels: 3
797
+ has_audio: false
798
+ observation.images.cam_right_wrist_rgb:
799
+ dtype: video
800
+ shape:
801
+ - 480
802
+ - 640
803
+ - 3
804
+ names:
805
+ - height
806
+ - width
807
+ - channels
808
+ info:
809
+ video.height: 480
810
+ video.width: 640
811
+ video.codec: av1
812
+ video.pix_fmt: yuv420p
813
+ video.is_depth_map: false
814
+ video.fps: 30
815
+ video.channels: 3
816
+ has_audio: false
817
+ observation.images.cam_front_chest_rgb:
818
+ dtype: video
819
+ shape:
820
+ - 480
821
+ - 640
822
+ - 3
823
+ names:
824
+ - height
825
+ - width
826
+ - channels
827
+ info:
828
+ video.height: 480
829
+ video.width: 640
830
+ video.codec: av1
831
+ video.pix_fmt: yuv420p
832
+ video.is_depth_map: false
833
+ video.fps: 30
834
+ video.channels: 3
835
+ has_audio: false
836
+ observation.state:
837
+ dtype: float32
838
+ shape:
839
+ - 26
840
+ names:
841
+ - left_arm_joint_1_rad
842
+ - left_arm_joint_2_rad
843
+ - left_arm_joint_3_rad
844
+ - left_arm_joint_4_rad
845
+ - left_arm_joint_5_rad
846
+ - left_arm_joint_6_rad
847
+ - left_gripper_open
848
+ - left_eef_pos_x_m
849
+ - left_eef_pos_y_m
850
+ - left_eef_pos_z_m
851
+ - left_eef_rot_euler_x_rad
852
+ - left_eef_rot_euler_y_rad
853
+ - left_eef_rot_euler_z_rad
854
+ - right_arm_joint_1_rad
855
+ - right_arm_joint_2_rad
856
+ - right_arm_joint_3_rad
857
+ - right_arm_joint_4_rad
858
+ - right_arm_joint_5_rad
859
+ - right_arm_joint_6_rad
860
+ - right_gripper_open
861
+ - right_eef_pos_x_m
862
+ - right_eef_pos_y_m
863
+ - right_eef_pos_z_m
864
+ - right_eef_rot_euler_x_rad
865
+ - right_eef_rot_euler_y_rad
866
+ - right_eef_rot_euler_z_rad
867
+ action:
868
+ dtype: float32
869
+ shape:
870
+ - 26
871
+ names:
872
+ - left_arm_joint_1_rad
873
+ - left_arm_joint_2_rad
874
+ - left_arm_joint_3_rad
875
+ - left_arm_joint_4_rad
876
+ - left_arm_joint_5_rad
877
+ - left_arm_joint_6_rad
878
+ - left_gripper_open
879
+ - left_eef_pos_x_m
880
+ - left_eef_pos_y_m
881
+ - left_eef_pos_z_m
882
+ - left_eef_rot_euler_x_rad
883
+ - left_eef_rot_euler_y_rad
884
+ - left_eef_rot_euler_z_rad
885
+ - right_arm_joint_1_rad
886
+ - right_arm_joint_2_rad
887
+ - right_arm_joint_3_rad
888
+ - right_arm_joint_4_rad
889
+ - right_arm_joint_5_rad
890
+ - right_arm_joint_6_rad
891
+ - right_gripper_open
892
+ - right_eef_pos_x_m
893
+ - right_eef_pos_y_m
894
+ - right_eef_pos_z_m
895
+ - right_eef_rot_euler_x_rad
896
+ - right_eef_rot_euler_y_rad
897
+ - right_eef_rot_euler_z_rad
898
+ timestamp:
899
+ dtype: float32
900
+ shape:
901
+ - 1
902
+ names: null
903
+ frame_index:
904
+ dtype: int64
905
+ shape:
906
+ - 1
907
+ names: null
908
+ episode_index:
909
+ dtype: int64
910
+ shape:
911
+ - 1
912
+ names: null
913
+ index:
914
+ dtype: int64
915
+ shape:
916
+ - 1
917
+ names: null
918
+ task_index:
919
+ dtype: int64
920
+ shape:
921
+ - 1
922
+ names: null
923
+ subtask_annotation:
924
+ names: null
925
+ dtype: int32
926
+ shape:
927
+ - 5
928
+ scene_annotation:
929
+ names: null
930
+ dtype: int32
931
+ shape:
932
+ - 1
933
+ eef_sim_pose_state:
934
+ names:
935
+ - left_eef_pos_x
936
+ - left_eef_pos_y
937
+ - left_eef_pos_z
938
+ - left_eef_rot_x
939
+ - left_eef_rot_y
940
+ - left_eef_rot_z
941
+ - right_eef_pos_x
942
+ - right_eef_pos_y
943
+ - right_eef_pos_z
944
+ - right_eef_rot_x
945
+ - right_eef_rot_y
946
+ - right_eef_rot_z
947
+ dtype: float32
948
+ shape:
949
+ - 12
950
+ eef_sim_pose_action:
951
+ names:
952
+ - left_eef_pos_x
953
+ - left_eef_pos_y
954
+ - left_eef_pos_z
955
+ - left_eef_rot_x
956
+ - left_eef_rot_y
957
+ - left_eef_rot_z
958
+ - right_eef_pos_x
959
+ - right_eef_pos_y
960
+ - right_eef_pos_z
961
+ - right_eef_rot_x
962
+ - right_eef_rot_y
963
+ - right_eef_rot_z
964
+ dtype: float32
965
+ shape:
966
+ - 12
967
+ eef_direction_state:
968
+ names:
969
+ - left_eef_direction
970
+ - right_eef_direction
971
+ dtype: int32
972
+ shape:
973
+ - 2
974
+ eef_direction_action:
975
+ names:
976
+ - left_eef_direction
977
+ - right_eef_direction
978
+ dtype: int32
979
+ shape:
980
+ - 2
981
+ eef_velocity_state:
982
+ names:
983
+ - left_eef_velocity
984
+ - right_eef_velocity
985
+ dtype: int32
986
+ shape:
987
+ - 2
988
+ eef_velocity_action:
989
+ names:
990
+ - left_eef_velocity
991
+ - right_eef_velocity
992
+ dtype: int32
993
+ shape:
994
+ - 2
995
+ eef_acc_mag_state:
996
+ names:
997
+ - left_eef_acc_mag
998
+ - right_eef_acc_mag
999
+ dtype: int32
1000
+ shape:
1001
+ - 2
1002
+ eef_acc_mag_action:
1003
+ names:
1004
+ - left_eef_acc_mag
1005
+ - right_eef_acc_mag
1006
+ dtype: int32
1007
+ shape:
1008
+ - 2
1009
+ gripper_mode_state:
1010
+ names:
1011
+ - left_gripper_mode
1012
+ - right_gripper_mode
1013
+ dtype: int32
1014
+ shape:
1015
+ - 2
1016
+ gripper_mode_action:
1017
+ names:
1018
+ - left_gripper_mode
1019
+ - right_gripper_mode
1020
+ dtype: int32
1021
+ shape:
1022
+ - 2
1023
+ gripper_activity_state:
1024
+ names:
1025
+ - left_gripper_activity
1026
+ - right_gripper_activity
1027
+ dtype: int32
1028
+ shape:
1029
+ - 2
1030
+ gripper_activity_action:
1031
+ names:
1032
+ - left_gripper_activity
1033
+ - right_gripper_activity
1034
+ dtype: int32
1035
+ shape:
1036
+ - 2
1037
+ gripper_open_scale_state:
1038
+ names:
1039
+ - left_gripper_open_scale
1040
+ - right_gripper_open_scale
1041
+ dtype: float32
1042
+ shape:
1043
+ - 2
1044
+ gripper_open_scale_action:
1045
+ names:
1046
+ - left_gripper_open_scale
1047
+ - right_gripper_open_scale
1048
+ dtype: float32
1049
+ shape:
1050
+ - 2
1051
+ authors:
1052
+ contributed_by:
1053
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
1054
+ dataset_description: This dataset uses an extended format based on LeRobot and is
1055
+ fully compatible with LeRobot.
1056
+ homepage: https://flagopen.github.io/RoboCOIN/
1057
+ paper: https://arxiv.org/abs/2511.17441
1058
+ repository: https://github.com/FlagOpen/RoboCOIN
1059
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
1060
+ us.
1061
+ support_info: For technical support, please open an issue on our GitHub repository.
1062
+ license_details: apache-2.0
1063
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
1064
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
1065
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
1066
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
1067
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
1068
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
1069
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
1070
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
1071
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
1072
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
1073
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
1074
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
1075
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
1076
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
1077
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
1078
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
1079
+ additional_citations: 'If you use this dataset, please also consider citing:
1080
+
1081
+ LeRobot Framework: https://github.com/huggingface/lerobot
1082
+
1083
+ '
1084
+ version_info: Initial Release
1085
+ data_path: data/chunk-{id}/episode_{id}.parquet
1086
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
1087
+ video_url: videos/chunk-000/observation.images.cam_front_chest_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_erase_board.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_erase_board
24
+ dataset_uuid: 438b28d5-a99a-40e0-8810-237f5186f824
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
+ - object_name: whiteboard
36
+ - object_name: green_whiteboard_Eraser
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Wipe off the handwriting on the whiteboard with the gripper.
41
+ sub_tasks:
42
+ - subtask: Place the eraser with the left gripper.
43
+ subtask_index: 0
44
+ - subtask: end.
45
+ subtask_index: 1
46
+ - subtask: Grasp the eraser with the left gripper.
47
+ subtask_index: 2
48
+ - subtask: Grasp the eraser and wipe the blackboard with the right gripper.
49
+ subtask_index: 3
50
+ - subtask: Abnormal.
51
+ subtask_index: 4
52
+ - subtask: Grasp the eraser and wipe the blackboard with the left gripper.
53
+ subtask_index: 5
54
+ - subtask: Place the eraser with the right gripper.
55
+ subtask_index: 6
56
+ - subtask: Grasp the eraser with the right gripper.
57
+ subtask_index: 7
58
+ - subtask: null.
59
+ subtask_index: 8
60
+ atomic_actions:
61
+ - grasp
62
+ - lift
63
+ - place
64
+ - wipe
65
+ robot_name:
66
+ - Agilex_Cobot_Magic
67
+ end_effector_type: two_finger_end_effector
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
+ came_info:
75
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
76
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
77
+ pix_fmt=yuv420p
78
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
79
+ pix_fmt=yuv420p
80
+ depth_enabled: false
81
+ coordinate_definition: right-hand-frame
82
+ joint_rotation_dim: radian
83
+ end_translation_dim: meter
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: 50
94
+ total_frames: 24688
95
+ fps: 30
96
+ total_tasks: 9
97
+ total_videos: 150
98
+ total_chunks: 1
99
+ chunks_size: 1000
100
+ state_dim: 26
101
+ action_dim: 26
102
+ camera_views: 3
103
+ dataset_size: 230.75 MB
104
+ frame_num: 24688
105
+ frame_range: 100K
106
+ dataset_size: 230.75 MB
107
+ data_structure: 'Agilex_Cobot_Magic_erase_board_qced_hardlink/
108
+
109
+ |-- annotations
110
+
111
+ | |-- eef_acc_mag_annotation.jsonl
112
+
113
+ | |-- eef_direction_annotation.jsonl
114
+
115
+ | |-- eef_velocity_annotation.jsonl
116
+
117
+ | |-- gripper_activity_annotation.jsonl
118
+
119
+ | |-- gripper_mode_annotation.jsonl
120
+
121
+ | |-- scene_annotations.jsonl
122
+
123
+ | `-- subtask_annotations.jsonl
124
+
125
+ |-- backup
126
+
127
+ | |-- data
128
+
129
+ | | `-- chunk-000
130
+
131
+ | `-- meta
132
+
133
+ | |-- episodes.jsonl
134
+
135
+ | |-- episodes_stats.jsonl
136
+
137
+ | |-- info.json
138
+
139
+ | `-- tasks.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
+ shape:
344
+ - 5
345
+ dtype: int32
346
+ scene_annotation:
347
+ names: null
348
+ shape:
349
+ - 1
350
+ dtype: int32
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
+ shape:
366
+ - 12
367
+ dtype: float32
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
+ shape:
383
+ - 12
384
+ dtype: float32
385
+ eef_direction_state:
386
+ names:
387
+ - left_eef_direction
388
+ - right_eef_direction
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_direction_action:
393
+ names:
394
+ - left_eef_direction
395
+ - right_eef_direction
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ eef_velocity_state:
400
+ names:
401
+ - left_eef_velocity
402
+ - right_eef_velocity
403
+ shape:
404
+ - 2
405
+ dtype: int32
406
+ eef_velocity_action:
407
+ names:
408
+ - left_eef_velocity
409
+ - right_eef_velocity
410
+ shape:
411
+ - 2
412
+ dtype: int32
413
+ eef_acc_mag_state:
414
+ names:
415
+ - left_eef_acc_mag
416
+ - right_eef_acc_mag
417
+ shape:
418
+ - 2
419
+ dtype: int32
420
+ eef_acc_mag_action:
421
+ names:
422
+ - left_eef_acc_mag
423
+ - right_eef_acc_mag
424
+ shape:
425
+ - 2
426
+ dtype: int32
427
+ gripper_mode_state:
428
+ names:
429
+ - left_gripper_mode
430
+ - right_gripper_mode
431
+ shape:
432
+ - 2
433
+ dtype: int32
434
+ gripper_mode_action:
435
+ names:
436
+ - left_gripper_mode
437
+ - right_gripper_mode
438
+ shape:
439
+ - 2
440
+ dtype: int32
441
+ gripper_activity_state:
442
+ names:
443
+ - left_gripper_activity
444
+ - right_gripper_activity
445
+ shape:
446
+ - 2
447
+ dtype: int32
448
+ gripper_activity_action:
449
+ names:
450
+ - left_gripper_activity
451
+ - right_gripper_activity
452
+ shape:
453
+ - 2
454
+ dtype: int32
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_erase_board_left.yaml ADDED
@@ -0,0 +1,506 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_erase_board_left
24
+ dataset_uuid: 9b90a2fb-f16f-4899-a993-543c3fef3f1a
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
+ - object_name: whiteboard
36
+ - object_name: whiteboard_eraser
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Pick up the whiteboard eraser with the left claw. Wipe the notes on the whiteboard
41
+ with the left claw. Place them back in place with the left claw.
42
+ sub_tasks:
43
+ - subtask: Place the eraser with the left gripper.
44
+ subtask_index: 0
45
+ - subtask: Grasp the eraser with the left gripper.
46
+ subtask_index: 1
47
+ - subtask: Abnormal.
48
+ subtask_index: 2
49
+ - subtask: End.
50
+ subtask_index: 3
51
+ - subtask: Grasp the eraser and wipe the blackboard with the left gripper.
52
+ subtask_index: 4
53
+ - subtask: null.
54
+ subtask_index: 5
55
+ atomic_actions:
56
+ - grasp
57
+ - lift
58
+ - wipe
59
+ - pass
60
+ robot_name:
61
+ - Agilex_Cobot_Magic
62
+ end_effector_type: two_finger_end_effector
63
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
64
+ type information.
65
+ sensor_list:
66
+ - cam_head_rgb
67
+ - cam_left_wrist_rgb
68
+ - cam_right_wrist_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
+ depth_enabled: false
76
+ coordinate_definition: right-hand-frame
77
+ joint_rotation_dim: radian
78
+ end_translation_dim: meter
79
+ annotations:
80
+ - eef_acc_mag_annotation.jsonl
81
+ - eef_direction_annotation.jsonl
82
+ - eef_velocity_annotation.jsonl
83
+ - gripper_activity_annotation.jsonl
84
+ - gripper_mode_annotation.jsonl
85
+ - scene_annotations.jsonl
86
+ - subtask_annotations.jsonl
87
+ statistics:
88
+ total_episodes: 49
89
+ total_frames: 23847
90
+ fps: 30
91
+ total_tasks: 6
92
+ total_videos: 147
93
+ total_chunks: 1
94
+ chunks_size: 1000
95
+ state_dim: 26
96
+ action_dim: 26
97
+ camera_views: 3
98
+ dataset_size: 217.76 MB
99
+ frame_num: 23847
100
+ frame_range: 100K
101
+ dataset_size: 217.76 MB
102
+ data_structure: 'Agilex_Cobot_Magic_erase_board_left_qced_hardlink/
103
+
104
+ |-- annotations
105
+
106
+ | |-- eef_acc_mag_annotation.jsonl
107
+
108
+ | |-- eef_direction_annotation.jsonl
109
+
110
+ | |-- eef_velocity_annotation.jsonl
111
+
112
+ | |-- gripper_activity_annotation.jsonl
113
+
114
+ | |-- gripper_mode_annotation.jsonl
115
+
116
+ | |-- scene_annotations.jsonl
117
+
118
+ | `-- subtask_annotations.jsonl
119
+
120
+ |-- backup
121
+
122
+ | |-- data
123
+
124
+ | | `-- chunk-000
125
+
126
+ | `-- meta
127
+
128
+ | |-- episodes.jsonl
129
+
130
+ | |-- episodes_stats.jsonl
131
+
132
+ | |-- info.json
133
+
134
+ | `-- tasks.jsonl
135
+
136
+ |-- data
137
+
138
+ | `-- chunk-000
139
+
140
+ | |-- episode_000000.parquet
141
+
142
+ | |-- episode_000001.parquet
143
+
144
+ | |-- episode_000002.parquet
145
+
146
+ | |-- episode_000003.parquet
147
+
148
+ | |-- episode_000004.parquet
149
+
150
+ | |-- episode_000005.parquet
151
+
152
+ | |-- episode_000006.parquet
153
+
154
+ | |-- episode_000007.parquet
155
+
156
+ | |-- episode_000008.parquet
157
+
158
+ | |-- episode_000009.parquet
159
+
160
+ | |-- episode_000010.parquet
161
+
162
+ | `-- episode_000011.parquet
163
+
164
+ | `-- ... (37 more entries)
165
+
166
+ |-- logs
167
+
168
+ | `-- collect
169
+
170
+ | `-- collect_20260520171226.log
171
+
172
+ |-- meta
173
+
174
+ | |-- episodes.jsonl
175
+
176
+ | |-- episodes_stats.jsonl
177
+
178
+ | |-- info.json
179
+
180
+ | `-- tasks.jsonl
181
+
182
+ |-- videos
183
+
184
+ | `-- chunk-000
185
+
186
+ | |-- observation.images.cam_head_rgb
187
+
188
+ | |-- observation.images.cam_left_wrist_rgb
189
+
190
+ | `-- observation.images.cam_right_wrist_rgb
191
+
192
+ |-- info.yaml
193
+
194
+ `-- README.md'
195
+ splits:
196
+ train: 0:48
197
+ features:
198
+ observation.images.cam_head_rgb:
199
+ dtype: video
200
+ shape:
201
+ - 480
202
+ - 640
203
+ - 3
204
+ names:
205
+ - height
206
+ - width
207
+ - channels
208
+ info:
209
+ video.height: 480
210
+ video.width: 640
211
+ video.codec: av1
212
+ video.pix_fmt: yuv420p
213
+ video.is_depth_map: false
214
+ video.fps: 30
215
+ video.channels: 3
216
+ has_audio: false
217
+ observation.images.cam_left_wrist_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 480
221
+ - 640
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 480
229
+ video.width: 640
230
+ video.codec: av1
231
+ video.pix_fmt: yuv420p
232
+ video.is_depth_map: false
233
+ video.fps: 30
234
+ video.channels: 3
235
+ has_audio: false
236
+ observation.images.cam_right_wrist_rgb:
237
+ dtype: video
238
+ shape:
239
+ - 480
240
+ - 640
241
+ - 3
242
+ names:
243
+ - height
244
+ - width
245
+ - channels
246
+ info:
247
+ video.height: 480
248
+ video.width: 640
249
+ video.codec: av1
250
+ video.pix_fmt: yuv420p
251
+ video.is_depth_map: false
252
+ video.fps: 30
253
+ video.channels: 3
254
+ has_audio: false
255
+ observation.state:
256
+ dtype: float32
257
+ shape:
258
+ - 26
259
+ names:
260
+ - left_arm_joint_1_rad
261
+ - left_arm_joint_2_rad
262
+ - left_arm_joint_3_rad
263
+ - left_arm_joint_4_rad
264
+ - left_arm_joint_5_rad
265
+ - left_arm_joint_6_rad
266
+ - left_gripper_open
267
+ - left_eef_pos_x_m
268
+ - left_eef_pos_y_m
269
+ - left_eef_pos_z_m
270
+ - left_eef_rot_euler_x_rad
271
+ - left_eef_rot_euler_y_rad
272
+ - left_eef_rot_euler_z_rad
273
+ - right_arm_joint_1_rad
274
+ - right_arm_joint_2_rad
275
+ - right_arm_joint_3_rad
276
+ - right_arm_joint_4_rad
277
+ - right_arm_joint_5_rad
278
+ - right_arm_joint_6_rad
279
+ - right_gripper_open
280
+ - right_eef_pos_x_m
281
+ - right_eef_pos_y_m
282
+ - right_eef_pos_z_m
283
+ - right_eef_rot_euler_x_rad
284
+ - right_eef_rot_euler_y_rad
285
+ - right_eef_rot_euler_z_rad
286
+ action:
287
+ dtype: float32
288
+ shape:
289
+ - 26
290
+ names:
291
+ - left_arm_joint_1_rad
292
+ - left_arm_joint_2_rad
293
+ - left_arm_joint_3_rad
294
+ - left_arm_joint_4_rad
295
+ - left_arm_joint_5_rad
296
+ - left_arm_joint_6_rad
297
+ - left_gripper_open
298
+ - left_eef_pos_x_m
299
+ - left_eef_pos_y_m
300
+ - left_eef_pos_z_m
301
+ - left_eef_rot_euler_x_rad
302
+ - left_eef_rot_euler_y_rad
303
+ - left_eef_rot_euler_z_rad
304
+ - right_arm_joint_1_rad
305
+ - right_arm_joint_2_rad
306
+ - right_arm_joint_3_rad
307
+ - right_arm_joint_4_rad
308
+ - right_arm_joint_5_rad
309
+ - right_arm_joint_6_rad
310
+ - right_gripper_open
311
+ - right_eef_pos_x_m
312
+ - right_eef_pos_y_m
313
+ - right_eef_pos_z_m
314
+ - right_eef_rot_euler_x_rad
315
+ - right_eef_rot_euler_y_rad
316
+ - right_eef_rot_euler_z_rad
317
+ timestamp:
318
+ dtype: float32
319
+ shape:
320
+ - 1
321
+ names: null
322
+ frame_index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ episode_index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ index:
333
+ dtype: int64
334
+ shape:
335
+ - 1
336
+ names: null
337
+ task_index:
338
+ dtype: int64
339
+ shape:
340
+ - 1
341
+ names: null
342
+ subtask_annotation:
343
+ names: null
344
+ dtype: int32
345
+ shape:
346
+ - 5
347
+ scene_annotation:
348
+ names: null
349
+ dtype: int32
350
+ shape:
351
+ - 1
352
+ eef_sim_pose_state:
353
+ names:
354
+ - left_eef_pos_x
355
+ - left_eef_pos_y
356
+ - left_eef_pos_z
357
+ - left_eef_rot_x
358
+ - left_eef_rot_y
359
+ - left_eef_rot_z
360
+ - right_eef_pos_x
361
+ - right_eef_pos_y
362
+ - right_eef_pos_z
363
+ - right_eef_rot_x
364
+ - right_eef_rot_y
365
+ - right_eef_rot_z
366
+ dtype: float32
367
+ shape:
368
+ - 12
369
+ eef_sim_pose_action:
370
+ names:
371
+ - left_eef_pos_x
372
+ - left_eef_pos_y
373
+ - left_eef_pos_z
374
+ - left_eef_rot_x
375
+ - left_eef_rot_y
376
+ - left_eef_rot_z
377
+ - right_eef_pos_x
378
+ - right_eef_pos_y
379
+ - right_eef_pos_z
380
+ - right_eef_rot_x
381
+ - right_eef_rot_y
382
+ - right_eef_rot_z
383
+ dtype: float32
384
+ shape:
385
+ - 12
386
+ eef_direction_state:
387
+ names:
388
+ - left_eef_direction
389
+ - right_eef_direction
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_direction_action:
394
+ names:
395
+ - left_eef_direction
396
+ - right_eef_direction
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_velocity_state:
401
+ names:
402
+ - left_eef_velocity
403
+ - right_eef_velocity
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_velocity_action:
408
+ names:
409
+ - left_eef_velocity
410
+ - right_eef_velocity
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ eef_acc_mag_state:
415
+ names:
416
+ - left_eef_acc_mag
417
+ - right_eef_acc_mag
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ eef_acc_mag_action:
422
+ names:
423
+ - left_eef_acc_mag
424
+ - right_eef_acc_mag
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_mode_state:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_mode_action:
436
+ names:
437
+ - left_gripper_mode
438
+ - right_gripper_mode
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ gripper_activity_state:
443
+ names:
444
+ - left_gripper_activity
445
+ - right_gripper_activity
446
+ dtype: int32
447
+ shape:
448
+ - 2
449
+ gripper_activity_action:
450
+ names:
451
+ - left_gripper_activity
452
+ - right_gripper_activity
453
+ dtype: int32
454
+ shape:
455
+ - 2
456
+ gripper_open_scale_state:
457
+ names:
458
+ - left_gripper_open_scale
459
+ - right_gripper_open_scale
460
+ dtype: float32
461
+ shape:
462
+ - 2
463
+ gripper_open_scale_action:
464
+ names:
465
+ - left_gripper_open_scale
466
+ - right_gripper_open_scale
467
+ dtype: float32
468
+ shape:
469
+ - 2
470
+ authors:
471
+ contributed_by:
472
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
473
+ dataset_description: This dataset uses an extended format based on LeRobot and is
474
+ fully compatible with LeRobot.
475
+ homepage: https://flagopen.github.io/RoboCOIN/
476
+ paper: https://arxiv.org/abs/2511.17441
477
+ repository: https://github.com/FlagOpen/RoboCOIN
478
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
479
+ us.
480
+ support_info: For technical support, please open an issue on our GitHub repository.
481
+ license_details: apache-2.0
482
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
483
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
484
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
485
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
486
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
487
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
488
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
489
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
490
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
491
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
492
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
493
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
494
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
495
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
496
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
497
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
498
+ additional_citations: 'If you use this dataset, please also consider citing:
499
+
500
+ LeRobot Framework: https://github.com/huggingface/lerobot
501
+
502
+ '
503
+ version_info: Initial Release
504
+ data_path: data/chunk-{id}/episode_{id}.parquet
505
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
506
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_erase_board_left_side.yaml ADDED
@@ -0,0 +1,503 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_erase_board_left_side
24
+ dataset_uuid: 8cb016b7-6c8a-4c50-9e2f-4588b4853b6d
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
+ - object_name: whiteboard
36
+ - object_name: red_whiteboard_Eraser
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Wipe off the handwriting on the whiteboard with the gripper.
41
+ sub_tasks:
42
+ - subtask: Place the eraser with the left gripper.
43
+ subtask_index: 0
44
+ - subtask: Grasp the eraser with the left gripper.
45
+ subtask_index: 1
46
+ - subtask: End.
47
+ subtask_index: 2
48
+ - subtask: Grasp the eraser and wipe the blackboard with the right gripper.
49
+ subtask_index: 3
50
+ - subtask: Place the eraser with the right gripper.
51
+ subtask_index: 4
52
+ - subtask: Grasp the eraser with the right gripper.
53
+ subtask_index: 5
54
+ - subtask: Grasp the eraser and wipe the blackboard with the left gripper.
55
+ subtask_index: 6
56
+ - subtask: null.
57
+ subtask_index: 7
58
+ atomic_actions:
59
+ - grasp
60
+ - lift
61
+ - place
62
+ - wipe
63
+ robot_name:
64
+ - Agilex_Cobot_Magic
65
+ end_effector_type: two_finger_end_effector
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
+ 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
+ depth_enabled: false
79
+ coordinate_definition: right-hand-frame
80
+ joint_rotation_dim: radian
81
+ end_translation_dim: meter
82
+ annotations:
83
+ - eef_acc_mag_annotation.jsonl
84
+ - eef_direction_annotation.jsonl
85
+ - eef_velocity_annotation.jsonl
86
+ - gripper_activity_annotation.jsonl
87
+ - gripper_mode_annotation.jsonl
88
+ - scene_annotations.jsonl
89
+ - subtask_annotations.jsonl
90
+ statistics:
91
+ total_episodes: 101
92
+ total_frames: 51478
93
+ fps: 30
94
+ total_tasks: 8
95
+ total_videos: 303
96
+ total_chunks: 1
97
+ chunks_size: 1000
98
+ state_dim: 26
99
+ action_dim: 26
100
+ camera_views: 3
101
+ dataset_size: 490.77 MB
102
+ frame_num: 51478
103
+ frame_range: 100K
104
+ dataset_size: 490.77 MB
105
+ data_structure: 'Agilex_Cobot_Magic_erase_board_left_side_qced_hardlink/
106
+
107
+ |-- annotations
108
+
109
+ | |-- eef_acc_mag_annotation.jsonl
110
+
111
+ | |-- eef_direction_annotation.jsonl
112
+
113
+ | |-- eef_velocity_annotation.jsonl
114
+
115
+ | |-- gripper_activity_annotation.jsonl
116
+
117
+ | |-- gripper_mode_annotation.jsonl
118
+
119
+ | |-- scene_annotations.jsonl
120
+
121
+ | `-- subtask_annotations.jsonl
122
+
123
+ |-- backup
124
+
125
+ | |-- data
126
+
127
+ | | `-- chunk-000
128
+
129
+ | `-- meta
130
+
131
+ | |-- episodes.jsonl
132
+
133
+ | |-- episodes_stats.jsonl
134
+
135
+ | |-- info.json
136
+
137
+ | `-- tasks.jsonl
138
+
139
+ |-- data
140
+
141
+ | `-- chunk-000
142
+
143
+ | |-- episode_000000.parquet
144
+
145
+ | |-- episode_000001.parquet
146
+
147
+ | |-- episode_000002.parquet
148
+
149
+ | |-- episode_000003.parquet
150
+
151
+ | |-- episode_000004.parquet
152
+
153
+ | |-- episode_000005.parquet
154
+
155
+ | |-- episode_000006.parquet
156
+
157
+ | |-- episode_000007.parquet
158
+
159
+ | |-- episode_000008.parquet
160
+
161
+ | |-- episode_000009.parquet
162
+
163
+ | |-- episode_000010.parquet
164
+
165
+ | `-- episode_000011.parquet
166
+
167
+ | `-- ... (89 more entries)
168
+
169
+ |-- meta
170
+
171
+ | |-- episodes.jsonl
172
+
173
+ | |-- episodes_stats.jsonl
174
+
175
+ | |-- info.json
176
+
177
+ | `-- tasks.jsonl
178
+
179
+ |-- videos
180
+
181
+ | `-- chunk-000
182
+
183
+ | |-- observation.images.cam_head_rgb
184
+
185
+ | |-- observation.images.cam_left_wrist_rgb
186
+
187
+ | `-- observation.images.cam_right_wrist_rgb
188
+
189
+ |-- info.yaml
190
+
191
+ `-- README.md'
192
+ splits:
193
+ train: 0:100
194
+ features:
195
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
215
+ dtype: video
216
+ shape:
217
+ - 480
218
+ - 640
219
+ - 3
220
+ names:
221
+ - height
222
+ - width
223
+ - channels
224
+ info:
225
+ video.height: 480
226
+ video.width: 640
227
+ video.codec: av1
228
+ video.pix_fmt: yuv420p
229
+ video.is_depth_map: false
230
+ video.fps: 30
231
+ video.channels: 3
232
+ has_audio: false
233
+ observation.images.cam_right_wrist_rgb:
234
+ dtype: video
235
+ shape:
236
+ - 480
237
+ - 640
238
+ - 3
239
+ names:
240
+ - height
241
+ - width
242
+ - channels
243
+ info:
244
+ video.height: 480
245
+ video.width: 640
246
+ video.codec: av1
247
+ video.pix_fmt: yuv420p
248
+ video.is_depth_map: false
249
+ video.fps: 30
250
+ video.channels: 3
251
+ has_audio: false
252
+ observation.state:
253
+ dtype: float32
254
+ shape:
255
+ - 26
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
+ - left_gripper_open
264
+ - left_eef_pos_x_m
265
+ - left_eef_pos_y_m
266
+ - left_eef_pos_z_m
267
+ - left_eef_rot_euler_x_rad
268
+ - left_eef_rot_euler_y_rad
269
+ - left_eef_rot_euler_z_rad
270
+ - right_arm_joint_1_rad
271
+ - right_arm_joint_2_rad
272
+ - right_arm_joint_3_rad
273
+ - right_arm_joint_4_rad
274
+ - right_arm_joint_5_rad
275
+ - right_arm_joint_6_rad
276
+ - right_gripper_open
277
+ - right_eef_pos_x_m
278
+ - right_eef_pos_y_m
279
+ - right_eef_pos_z_m
280
+ - right_eef_rot_euler_x_rad
281
+ - right_eef_rot_euler_y_rad
282
+ - right_eef_rot_euler_z_rad
283
+ action:
284
+ dtype: float32
285
+ shape:
286
+ - 26
287
+ names:
288
+ - left_arm_joint_1_rad
289
+ - left_arm_joint_2_rad
290
+ - left_arm_joint_3_rad
291
+ - left_arm_joint_4_rad
292
+ - left_arm_joint_5_rad
293
+ - left_arm_joint_6_rad
294
+ - left_gripper_open
295
+ - left_eef_pos_x_m
296
+ - left_eef_pos_y_m
297
+ - left_eef_pos_z_m
298
+ - left_eef_rot_euler_x_rad
299
+ - left_eef_rot_euler_y_rad
300
+ - left_eef_rot_euler_z_rad
301
+ - right_arm_joint_1_rad
302
+ - right_arm_joint_2_rad
303
+ - right_arm_joint_3_rad
304
+ - right_arm_joint_4_rad
305
+ - right_arm_joint_5_rad
306
+ - right_arm_joint_6_rad
307
+ - right_gripper_open
308
+ - right_eef_pos_x_m
309
+ - right_eef_pos_y_m
310
+ - right_eef_pos_z_m
311
+ - right_eef_rot_euler_x_rad
312
+ - right_eef_rot_euler_y_rad
313
+ - right_eef_rot_euler_z_rad
314
+ timestamp:
315
+ dtype: float32
316
+ shape:
317
+ - 1
318
+ names: null
319
+ frame_index:
320
+ dtype: int64
321
+ shape:
322
+ - 1
323
+ names: null
324
+ episode_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ index:
330
+ dtype: int64
331
+ shape:
332
+ - 1
333
+ names: null
334
+ task_index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ subtask_annotation:
340
+ names: null
341
+ dtype: int32
342
+ shape:
343
+ - 5
344
+ scene_annotation:
345
+ names: null
346
+ dtype: int32
347
+ shape:
348
+ - 1
349
+ eef_sim_pose_state:
350
+ names:
351
+ - left_eef_pos_x
352
+ - left_eef_pos_y
353
+ - left_eef_pos_z
354
+ - left_eef_rot_x
355
+ - left_eef_rot_y
356
+ - left_eef_rot_z
357
+ - right_eef_pos_x
358
+ - right_eef_pos_y
359
+ - right_eef_pos_z
360
+ - right_eef_rot_x
361
+ - right_eef_rot_y
362
+ - right_eef_rot_z
363
+ dtype: float32
364
+ shape:
365
+ - 12
366
+ eef_sim_pose_action:
367
+ names:
368
+ - left_eef_pos_x
369
+ - left_eef_pos_y
370
+ - left_eef_pos_z
371
+ - left_eef_rot_x
372
+ - left_eef_rot_y
373
+ - left_eef_rot_z
374
+ - right_eef_pos_x
375
+ - right_eef_pos_y
376
+ - right_eef_pos_z
377
+ - right_eef_rot_x
378
+ - right_eef_rot_y
379
+ - right_eef_rot_z
380
+ dtype: float32
381
+ shape:
382
+ - 12
383
+ eef_direction_state:
384
+ names:
385
+ - left_eef_direction
386
+ - right_eef_direction
387
+ dtype: int32
388
+ shape:
389
+ - 2
390
+ eef_direction_action:
391
+ names:
392
+ - left_eef_direction
393
+ - right_eef_direction
394
+ dtype: int32
395
+ shape:
396
+ - 2
397
+ eef_velocity_state:
398
+ names:
399
+ - left_eef_velocity
400
+ - right_eef_velocity
401
+ dtype: int32
402
+ shape:
403
+ - 2
404
+ eef_velocity_action:
405
+ names:
406
+ - left_eef_velocity
407
+ - right_eef_velocity
408
+ dtype: int32
409
+ shape:
410
+ - 2
411
+ eef_acc_mag_state:
412
+ names:
413
+ - left_eef_acc_mag
414
+ - right_eef_acc_mag
415
+ dtype: int32
416
+ shape:
417
+ - 2
418
+ eef_acc_mag_action:
419
+ names:
420
+ - left_eef_acc_mag
421
+ - right_eef_acc_mag
422
+ dtype: int32
423
+ shape:
424
+ - 2
425
+ gripper_mode_state:
426
+ names:
427
+ - left_gripper_mode
428
+ - right_gripper_mode
429
+ dtype: int32
430
+ shape:
431
+ - 2
432
+ gripper_mode_action:
433
+ names:
434
+ - left_gripper_mode
435
+ - right_gripper_mode
436
+ dtype: int32
437
+ shape:
438
+ - 2
439
+ gripper_activity_state:
440
+ names:
441
+ - left_gripper_activity
442
+ - right_gripper_activity
443
+ dtype: int32
444
+ shape:
445
+ - 2
446
+ gripper_activity_action:
447
+ names:
448
+ - left_gripper_activity
449
+ - right_gripper_activity
450
+ dtype: int32
451
+ shape:
452
+ - 2
453
+ gripper_open_scale_state:
454
+ names:
455
+ - left_gripper_open_scale
456
+ - right_gripper_open_scale
457
+ dtype: float32
458
+ shape:
459
+ - 2
460
+ gripper_open_scale_action:
461
+ names:
462
+ - left_gripper_open_scale
463
+ - right_gripper_open_scale
464
+ dtype: float32
465
+ shape:
466
+ - 2
467
+ authors:
468
+ contributed_by:
469
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
470
+ dataset_description: This dataset uses an extended format based on LeRobot and is
471
+ fully compatible with LeRobot.
472
+ homepage: https://flagopen.github.io/RoboCOIN/
473
+ paper: https://arxiv.org/abs/2511.17441
474
+ repository: https://github.com/FlagOpen/RoboCOIN
475
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
476
+ us.
477
+ support_info: For technical support, please open an issue on our GitHub repository.
478
+ license_details: apache-2.0
479
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
480
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
481
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
482
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
483
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
484
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
485
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
486
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
487
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
488
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
489
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
490
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
491
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
492
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
493
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
494
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
495
+ additional_citations: 'If you use this dataset, please also consider citing:
496
+
497
+ LeRobot Framework: https://github.com/huggingface/lerobot
498
+
499
+ '
500
+ version_info: Initial Release
501
+ data_path: data/chunk-{id}/episode_{id}.parquet
502
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
503
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_erase_board_passing_left_to_right.yaml ADDED
@@ -0,0 +1,492 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_left_to_right
24
+ dataset_uuid: 8aa2785d-1519-455f-855d-f31b736e8981
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
+ - object_name: whiteboard
36
+ - object_name: whiteboard_eraser
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Place the eraser in the right position with the right gripper, pick up the eraser
41
+ with the right gripper, wipe the notes on the whiteboard with the right gripper,
42
+ and then place it down with the right gripper.
43
+ sub_tasks:
44
+ - subtask: Right gripper.
45
+ subtask_index: 0
46
+ - subtask: Move the board eraser to the center of the whiteboard with left gripper.
47
+ subtask_index: 1
48
+ - subtask: Wipe off the writing on the board with right gripper.
49
+ subtask_index: 2
50
+ - subtask: Place the board eraser on the right side of board with right gripper.
51
+ subtask_index: 3
52
+ - subtask: Move the board eraser to the right of the whiteboard with right gripper.
53
+ subtask_index: 4
54
+ - subtask: Pick up the board eraser with right gripper.
55
+ subtask_index: 5
56
+ - subtask: Move the board eraser to the right of the whiteboard with left gripper.
57
+ subtask_index: 6
58
+ - subtask: End.
59
+ subtask_index: 7
60
+ - subtask: Left gripper.
61
+ subtask_index: 8
62
+ - subtask: null.
63
+ subtask_index: 9
64
+ atomic_actions:
65
+ - grasp
66
+ - lift
67
+ - wipe
68
+ - pass
69
+ robot_name: Agilex_Cobot_Magic
70
+ end_effector_type: two_finger_end_effector
71
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
72
+ type information.
73
+ sensor_list:
74
+ - cam_head_rgb
75
+ - cam_left_wrist_rgb
76
+ - cam_right_wrist_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ depth_enabled: false
84
+ coordinate_definition: right-hand-frame
85
+ joint_rotation_dim: radian
86
+ end_translation_dim: meter
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: 38393
98
+ fps: 30
99
+ total_tasks: 10
100
+ total_videos: 150
101
+ total_chunks: 1
102
+ chunks_size: 1000
103
+ state_dim: 26
104
+ action_dim: 26
105
+ camera_views: 3
106
+ dataset_size: 335.24 MB
107
+ frame_num: 38393
108
+ frame_range: 100K
109
+ dataset_size: 335.24 MB
110
+ data_structure: 'Agilex_Cobot_Magic_erase_board_passing_left_to_right_qced_hardlink/
111
+
112
+ |-- annotations
113
+
114
+ | |-- eef_acc_mag_annotation.jsonl
115
+
116
+ | |-- eef_direction_annotation.jsonl
117
+
118
+ | |-- eef_velocity_annotation.jsonl
119
+
120
+ | |-- gripper_activity_annotation.jsonl
121
+
122
+ | |-- gripper_mode_annotation.jsonl
123
+
124
+ | |-- scene_annotations.jsonl
125
+
126
+ | `-- subtask_annotations.jsonl
127
+
128
+ |-- data
129
+
130
+ | `-- chunk-000
131
+
132
+ | |-- episode_000000.parquet
133
+
134
+ | |-- episode_000001.parquet
135
+
136
+ | |-- episode_000002.parquet
137
+
138
+ | |-- episode_000003.parquet
139
+
140
+ | |-- episode_000004.parquet
141
+
142
+ | |-- episode_000005.parquet
143
+
144
+ | |-- episode_000006.parquet
145
+
146
+ | |-- episode_000007.parquet
147
+
148
+ | |-- episode_000008.parquet
149
+
150
+ | |-- episode_000009.parquet
151
+
152
+ | |-- episode_000010.parquet
153
+
154
+ | `-- episode_000011.parquet
155
+
156
+ | `-- ... (38 more entries)
157
+
158
+ |-- meta
159
+
160
+ | |-- episodes.jsonl
161
+
162
+ | |-- episodes_stats.jsonl
163
+
164
+ | |-- info.json
165
+
166
+ | `-- tasks.jsonl
167
+
168
+ |-- videos
169
+
170
+ | `-- chunk-000
171
+
172
+ | |-- observation.images.cam_head_rgb
173
+
174
+ | |-- observation.images.cam_left_wrist_rgb
175
+
176
+ | `-- observation.images.cam_right_wrist_rgb
177
+
178
+ |-- info.yaml
179
+
180
+ `-- README.md'
181
+ splits:
182
+ train: 0:49
183
+ features:
184
+ observation.images.cam_head_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.images.cam_left_wrist_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_right_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.state:
242
+ dtype: float32
243
+ shape:
244
+ - 26
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
+ - left_gripper_open
253
+ - left_eef_pos_x_m
254
+ - left_eef_pos_y_m
255
+ - left_eef_pos_z_m
256
+ - left_eef_rot_euler_x_rad
257
+ - left_eef_rot_euler_y_rad
258
+ - left_eef_rot_euler_z_rad
259
+ - right_arm_joint_1_rad
260
+ - right_arm_joint_2_rad
261
+ - right_arm_joint_3_rad
262
+ - right_arm_joint_4_rad
263
+ - right_arm_joint_5_rad
264
+ - right_arm_joint_6_rad
265
+ - right_gripper_open
266
+ - right_eef_pos_x_m
267
+ - right_eef_pos_y_m
268
+ - right_eef_pos_z_m
269
+ - right_eef_rot_euler_x_rad
270
+ - right_eef_rot_euler_y_rad
271
+ - right_eef_rot_euler_z_rad
272
+ action:
273
+ dtype: float32
274
+ shape:
275
+ - 26
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
+ - left_gripper_open
284
+ - left_eef_pos_x_m
285
+ - left_eef_pos_y_m
286
+ - left_eef_pos_z_m
287
+ - left_eef_rot_euler_x_rad
288
+ - left_eef_rot_euler_y_rad
289
+ - left_eef_rot_euler_z_rad
290
+ - right_arm_joint_1_rad
291
+ - right_arm_joint_2_rad
292
+ - right_arm_joint_3_rad
293
+ - right_arm_joint_4_rad
294
+ - right_arm_joint_5_rad
295
+ - right_arm_joint_6_rad
296
+ - right_gripper_open
297
+ - right_eef_pos_x_m
298
+ - right_eef_pos_y_m
299
+ - right_eef_pos_z_m
300
+ - right_eef_rot_euler_x_rad
301
+ - right_eef_rot_euler_y_rad
302
+ - right_eef_rot_euler_z_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
+ dtype: int32
331
+ shape:
332
+ - 5
333
+ scene_annotation:
334
+ names: null
335
+ dtype: int32
336
+ shape:
337
+ - 1
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
+ dtype: float32
353
+ shape:
354
+ - 12
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
+ dtype: float32
370
+ shape:
371
+ - 12
372
+ eef_direction_state:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_direction_action:
380
+ names:
381
+ - left_eef_direction
382
+ - right_eef_direction
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_state:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_velocity_action:
394
+ names:
395
+ - left_eef_velocity
396
+ - right_eef_velocity
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_state:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_acc_mag_action:
408
+ names:
409
+ - left_eef_acc_mag
410
+ - right_eef_acc_mag
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ gripper_mode_state:
415
+ names:
416
+ - left_gripper_mode
417
+ - right_gripper_mode
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ gripper_mode_action:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_activity_state:
429
+ names:
430
+ - left_gripper_activity
431
+ - right_gripper_activity
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_action:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ gripper_open_scale_state:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ dtype: float32
447
+ shape:
448
+ - 2
449
+ gripper_open_scale_action:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ dtype: float32
454
+ shape:
455
+ - 2
456
+ authors:
457
+ contributed_by:
458
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
459
+ dataset_description: This dataset uses an extended format based on LeRobot and is
460
+ fully compatible with LeRobot.
461
+ homepage: https://flagopen.github.io/RoboCOIN/
462
+ paper: https://arxiv.org/abs/2511.17441
463
+ repository: https://github.com/FlagOpen/RoboCOIN
464
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
465
+ us.
466
+ support_info: For technical support, please open an issue on our GitHub repository.
467
+ license_details: apache-2.0
468
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
469
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
470
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
471
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
472
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
473
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
474
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
475
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
476
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
477
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
478
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
479
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
480
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
481
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
482
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
483
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
484
+ additional_citations: 'If you use this dataset, please also consider citing:
485
+
486
+ LeRobot Framework: https://github.com/huggingface/lerobot
487
+
488
+ '
489
+ version_info: Initial Release
490
+ data_path: data/chunk-{id}/episode_{id}.parquet
491
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
492
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_erase_board_passing_right_to_left.yaml ADDED
@@ -0,0 +1,486 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: 3c27e326-2f30-4945-a85c-a432016bb415
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
+ - object_name: whiteboard
36
+ - object_name: whiteboard_eraser
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Place the eraser in the left with the left gripper, pick up the eraser with the
41
+ left gripper, wipe the notes on the whiteboard with the left gripper, and then place
42
+ it down with the left gripper.
43
+ sub_tasks:
44
+ - subtask: Place the eraser with the left gripper.
45
+ subtask_index: 0
46
+ - subtask: Grasp the eraser with the left gripper.
47
+ subtask_index: 1
48
+ - subtask: Abnormal.
49
+ subtask_index: 2
50
+ - subtask: End.
51
+ subtask_index: 3
52
+ - subtask: Move the eraser to the left side of the blackboard with the right gripper.
53
+ subtask_index: 4
54
+ - subtask: Grasp the eraser and wipe the blackboard with the left gripper.
55
+ subtask_index: 5
56
+ - subtask: null.
57
+ subtask_index: 6
58
+ atomic_actions:
59
+ - grasp
60
+ - lift
61
+ - wipe
62
+ - pass
63
+ robot_name: Agilex_Cobot_Magic
64
+ end_effector_type: two_finger_end_effector
65
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
66
+ type information.
67
+ sensor_list:
68
+ - cam_head_rgb
69
+ - cam_left_wrist_rgb
70
+ - cam_right_wrist_rgb
71
+ came_info:
72
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
73
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
74
+ pix_fmt=yuv420p
75
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
76
+ pix_fmt=yuv420p
77
+ depth_enabled: false
78
+ coordinate_definition: right-hand-frame
79
+ joint_rotation_dim: radian
80
+ end_translation_dim: meter
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: 47
91
+ total_frames: 38184
92
+ fps: 30
93
+ total_tasks: 7
94
+ total_videos: 141
95
+ total_chunks: 1
96
+ chunks_size: 1000
97
+ state_dim: 26
98
+ action_dim: 26
99
+ camera_views: 3
100
+ dataset_size: 334.71 MB
101
+ frame_num: 38184
102
+ frame_range: 100K
103
+ dataset_size: 334.71 MB
104
+ data_structure: 'Agilex_Cobot_Magic_erase_board_passing_right_to_left_qced_hardlink/
105
+
106
+ |-- annotations
107
+
108
+ | |-- eef_acc_mag_annotation.jsonl
109
+
110
+ | |-- eef_direction_annotation.jsonl
111
+
112
+ | |-- eef_velocity_annotation.jsonl
113
+
114
+ | |-- gripper_activity_annotation.jsonl
115
+
116
+ | |-- gripper_mode_annotation.jsonl
117
+
118
+ | |-- scene_annotations.jsonl
119
+
120
+ | `-- subtask_annotations.jsonl
121
+
122
+ |-- data
123
+
124
+ | `-- chunk-000
125
+
126
+ | |-- episode_000000.parquet
127
+
128
+ | |-- episode_000001.parquet
129
+
130
+ | |-- episode_000002.parquet
131
+
132
+ | |-- episode_000003.parquet
133
+
134
+ | |-- episode_000004.parquet
135
+
136
+ | |-- episode_000005.parquet
137
+
138
+ | |-- episode_000006.parquet
139
+
140
+ | |-- episode_000007.parquet
141
+
142
+ | |-- episode_000008.parquet
143
+
144
+ | |-- episode_000009.parquet
145
+
146
+ | |-- episode_000010.parquet
147
+
148
+ | `-- episode_000011.parquet
149
+
150
+ | `-- ... (35 more entries)
151
+
152
+ |-- meta
153
+
154
+ | |-- episodes.jsonl
155
+
156
+ | |-- episodes_stats.jsonl
157
+
158
+ | |-- info.json
159
+
160
+ | `-- tasks.jsonl
161
+
162
+ |-- videos
163
+
164
+ | `-- chunk-000
165
+
166
+ | |-- observation.images.cam_head_rgb
167
+
168
+ | |-- observation.images.cam_left_wrist_rgb
169
+
170
+ | `-- observation.images.cam_right_wrist_rgb
171
+
172
+ |-- info.yaml
173
+
174
+ `-- README.md'
175
+ splits:
176
+ train: 0:46
177
+ features:
178
+ observation.images.cam_head_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_left_wrist_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_right_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.state:
236
+ dtype: float32
237
+ shape:
238
+ - 26
239
+ names:
240
+ - left_arm_joint_1_rad
241
+ - left_arm_joint_2_rad
242
+ - left_arm_joint_3_rad
243
+ - left_arm_joint_4_rad
244
+ - left_arm_joint_5_rad
245
+ - left_arm_joint_6_rad
246
+ - left_gripper_open
247
+ - left_eef_pos_x_m
248
+ - left_eef_pos_y_m
249
+ - left_eef_pos_z_m
250
+ - left_eef_rot_euler_x_rad
251
+ - left_eef_rot_euler_y_rad
252
+ - left_eef_rot_euler_z_rad
253
+ - right_arm_joint_1_rad
254
+ - right_arm_joint_2_rad
255
+ - right_arm_joint_3_rad
256
+ - right_arm_joint_4_rad
257
+ - right_arm_joint_5_rad
258
+ - right_arm_joint_6_rad
259
+ - right_gripper_open
260
+ - right_eef_pos_x_m
261
+ - right_eef_pos_y_m
262
+ - right_eef_pos_z_m
263
+ - right_eef_rot_euler_x_rad
264
+ - right_eef_rot_euler_y_rad
265
+ - right_eef_rot_euler_z_rad
266
+ action:
267
+ dtype: float32
268
+ shape:
269
+ - 26
270
+ names:
271
+ - left_arm_joint_1_rad
272
+ - left_arm_joint_2_rad
273
+ - left_arm_joint_3_rad
274
+ - left_arm_joint_4_rad
275
+ - left_arm_joint_5_rad
276
+ - left_arm_joint_6_rad
277
+ - left_gripper_open
278
+ - left_eef_pos_x_m
279
+ - left_eef_pos_y_m
280
+ - left_eef_pos_z_m
281
+ - left_eef_rot_euler_x_rad
282
+ - left_eef_rot_euler_y_rad
283
+ - left_eef_rot_euler_z_rad
284
+ - right_arm_joint_1_rad
285
+ - right_arm_joint_2_rad
286
+ - right_arm_joint_3_rad
287
+ - right_arm_joint_4_rad
288
+ - right_arm_joint_5_rad
289
+ - right_arm_joint_6_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
+ timestamp:
298
+ dtype: float32
299
+ shape:
300
+ - 1
301
+ names: null
302
+ frame_index:
303
+ dtype: int64
304
+ shape:
305
+ - 1
306
+ names: null
307
+ episode_index:
308
+ dtype: int64
309
+ shape:
310
+ - 1
311
+ names: null
312
+ index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ task_index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ subtask_annotation:
323
+ names: null
324
+ dtype: int32
325
+ shape:
326
+ - 5
327
+ scene_annotation:
328
+ names: null
329
+ dtype: int32
330
+ shape:
331
+ - 1
332
+ eef_sim_pose_state:
333
+ names:
334
+ - left_eef_pos_x
335
+ - left_eef_pos_y
336
+ - left_eef_pos_z
337
+ - left_eef_rot_x
338
+ - left_eef_rot_y
339
+ - left_eef_rot_z
340
+ - right_eef_pos_x
341
+ - right_eef_pos_y
342
+ - right_eef_pos_z
343
+ - right_eef_rot_x
344
+ - right_eef_rot_y
345
+ - right_eef_rot_z
346
+ dtype: float32
347
+ shape:
348
+ - 12
349
+ eef_sim_pose_action:
350
+ names:
351
+ - left_eef_pos_x
352
+ - left_eef_pos_y
353
+ - left_eef_pos_z
354
+ - left_eef_rot_x
355
+ - left_eef_rot_y
356
+ - left_eef_rot_z
357
+ - right_eef_pos_x
358
+ - right_eef_pos_y
359
+ - right_eef_pos_z
360
+ - right_eef_rot_x
361
+ - right_eef_rot_y
362
+ - right_eef_rot_z
363
+ dtype: float32
364
+ shape:
365
+ - 12
366
+ eef_direction_state:
367
+ names:
368
+ - left_eef_direction
369
+ - right_eef_direction
370
+ dtype: int32
371
+ shape:
372
+ - 2
373
+ eef_direction_action:
374
+ names:
375
+ - left_eef_direction
376
+ - right_eef_direction
377
+ dtype: int32
378
+ shape:
379
+ - 2
380
+ eef_velocity_state:
381
+ names:
382
+ - left_eef_velocity
383
+ - right_eef_velocity
384
+ dtype: int32
385
+ shape:
386
+ - 2
387
+ eef_velocity_action:
388
+ names:
389
+ - left_eef_velocity
390
+ - right_eef_velocity
391
+ dtype: int32
392
+ shape:
393
+ - 2
394
+ eef_acc_mag_state:
395
+ names:
396
+ - left_eef_acc_mag
397
+ - right_eef_acc_mag
398
+ dtype: int32
399
+ shape:
400
+ - 2
401
+ eef_acc_mag_action:
402
+ names:
403
+ - left_eef_acc_mag
404
+ - right_eef_acc_mag
405
+ dtype: int32
406
+ shape:
407
+ - 2
408
+ gripper_mode_state:
409
+ names:
410
+ - left_gripper_mode
411
+ - right_gripper_mode
412
+ dtype: int32
413
+ shape:
414
+ - 2
415
+ gripper_mode_action:
416
+ names:
417
+ - left_gripper_mode
418
+ - right_gripper_mode
419
+ dtype: int32
420
+ shape:
421
+ - 2
422
+ gripper_activity_state:
423
+ names:
424
+ - left_gripper_activity
425
+ - right_gripper_activity
426
+ dtype: int32
427
+ shape:
428
+ - 2
429
+ gripper_activity_action:
430
+ names:
431
+ - left_gripper_activity
432
+ - right_gripper_activity
433
+ dtype: int32
434
+ shape:
435
+ - 2
436
+ gripper_open_scale_state:
437
+ names:
438
+ - left_gripper_open_scale
439
+ - right_gripper_open_scale
440
+ dtype: float32
441
+ shape:
442
+ - 2
443
+ gripper_open_scale_action:
444
+ names:
445
+ - left_gripper_open_scale
446
+ - right_gripper_open_scale
447
+ dtype: float32
448
+ shape:
449
+ - 2
450
+ authors:
451
+ contributed_by:
452
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
453
+ dataset_description: This dataset uses an extended format based on LeRobot and is
454
+ fully compatible with LeRobot.
455
+ homepage: https://flagopen.github.io/RoboCOIN/
456
+ paper: https://arxiv.org/abs/2511.17441
457
+ repository: https://github.com/FlagOpen/RoboCOIN
458
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
459
+ us.
460
+ support_info: For technical support, please open an issue on our GitHub repository.
461
+ license_details: apache-2.0
462
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
463
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
464
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
465
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
466
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
467
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
468
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
469
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
470
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
471
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
472
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
473
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
474
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
475
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
476
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
477
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
478
+ additional_citations: 'If you use this dataset, please also consider citing:
479
+
480
+ LeRobot Framework: https://github.com/huggingface/lerobot
481
+
482
+ '
483
+ version_info: Initial Release
484
+ data_path: data/chunk-{id}/episode_{id}.parquet
485
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
486
+ 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 +1,486 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: 32c81d4a-7981-47e6-b06c-ca711fe5694a
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
+ - object_name: whiteboard
36
+ - object_name: whiteboard_eraser
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Pick up the board eraser with the gripper, wipe the notes on the whiteboard with
41
+ the gripper, and then place them back in place with the gripper.
42
+ sub_tasks:
43
+ - subtask: Right gripper.
44
+ subtask_index: 0
45
+ - subtask: Wipe off the writing on the board with right gripper.
46
+ subtask_index: 1
47
+ - subtask: Place the board eraser on the right side of board with right gripper.
48
+ subtask_index: 2
49
+ - subtask: Move the board eraser to the right of the whiteboard with right gripper.
50
+ subtask_index: 3
51
+ - subtask: Pick up the board eraser with right gripper.
52
+ subtask_index: 4
53
+ - subtask: End.
54
+ subtask_index: 5
55
+ - subtask: null.
56
+ subtask_index: 6
57
+ atomic_actions:
58
+ - grasp
59
+ - lift
60
+ - wipe
61
+ - pass
62
+ robot_name:
63
+ - Agilex_Cobot_Magic
64
+ end_effector_type: two_finger_end_effector
65
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
66
+ type information.
67
+ sensor_list:
68
+ - cam_head_rgb
69
+ - cam_left_wrist_rgb
70
+ - cam_right_wrist_rgb
71
+ came_info:
72
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
73
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
74
+ pix_fmt=yuv420p
75
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
76
+ pix_fmt=yuv420p
77
+ depth_enabled: false
78
+ coordinate_definition: right-hand-frame
79
+ joint_rotation_dim: radian
80
+ end_translation_dim: meter
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: 50
91
+ total_frames: 28998
92
+ fps: 30
93
+ total_tasks: 7
94
+ total_videos: 150
95
+ total_chunks: 1
96
+ chunks_size: 1000
97
+ state_dim: 26
98
+ action_dim: 26
99
+ camera_views: 3
100
+ dataset_size: 249.99 MB
101
+ frame_num: 28998
102
+ frame_range: 100K
103
+ dataset_size: 249.99 MB
104
+ data_structure: 'Agilex_Cobot_Magic_erase_board_right_qced_hardlink/
105
+
106
+ |-- annotations
107
+
108
+ | |-- eef_acc_mag_annotation.jsonl
109
+
110
+ | |-- eef_direction_annotation.jsonl
111
+
112
+ | |-- eef_velocity_annotation.jsonl
113
+
114
+ | |-- gripper_activity_annotation.jsonl
115
+
116
+ | |-- gripper_mode_annotation.jsonl
117
+
118
+ | |-- scene_annotations.jsonl
119
+
120
+ | `-- subtask_annotations.jsonl
121
+
122
+ |-- data
123
+
124
+ | `-- chunk-000
125
+
126
+ | |-- episode_000000.parquet
127
+
128
+ | |-- episode_000001.parquet
129
+
130
+ | |-- episode_000002.parquet
131
+
132
+ | |-- episode_000003.parquet
133
+
134
+ | |-- episode_000004.parquet
135
+
136
+ | |-- episode_000005.parquet
137
+
138
+ | |-- episode_000006.parquet
139
+
140
+ | |-- episode_000007.parquet
141
+
142
+ | |-- episode_000008.parquet
143
+
144
+ | |-- episode_000009.parquet
145
+
146
+ | |-- episode_000010.parquet
147
+
148
+ | `-- episode_000011.parquet
149
+
150
+ | `-- ... (38 more entries)
151
+
152
+ |-- meta
153
+
154
+ | |-- episodes.jsonl
155
+
156
+ | |-- episodes_stats.jsonl
157
+
158
+ | |-- info.json
159
+
160
+ | `-- tasks.jsonl
161
+
162
+ |-- videos
163
+
164
+ | `-- chunk-000
165
+
166
+ | |-- observation.images.cam_head_rgb
167
+
168
+ | |-- observation.images.cam_left_wrist_rgb
169
+
170
+ | `-- observation.images.cam_right_wrist_rgb
171
+
172
+ |-- info.yaml
173
+
174
+ `-- README.md'
175
+ splits:
176
+ train: 0:49
177
+ features:
178
+ observation.images.cam_head_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_left_wrist_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_right_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.state:
236
+ dtype: float32
237
+ shape:
238
+ - 26
239
+ names:
240
+ - left_arm_joint_1_rad
241
+ - left_arm_joint_2_rad
242
+ - left_arm_joint_3_rad
243
+ - left_arm_joint_4_rad
244
+ - left_arm_joint_5_rad
245
+ - left_arm_joint_6_rad
246
+ - left_gripper_open
247
+ - left_eef_pos_x_m
248
+ - left_eef_pos_y_m
249
+ - left_eef_pos_z_m
250
+ - left_eef_rot_euler_x_rad
251
+ - left_eef_rot_euler_y_rad
252
+ - left_eef_rot_euler_z_rad
253
+ - right_arm_joint_1_rad
254
+ - right_arm_joint_2_rad
255
+ - right_arm_joint_3_rad
256
+ - right_arm_joint_4_rad
257
+ - right_arm_joint_5_rad
258
+ - right_arm_joint_6_rad
259
+ - right_gripper_open
260
+ - right_eef_pos_x_m
261
+ - right_eef_pos_y_m
262
+ - right_eef_pos_z_m
263
+ - right_eef_rot_euler_x_rad
264
+ - right_eef_rot_euler_y_rad
265
+ - right_eef_rot_euler_z_rad
266
+ action:
267
+ dtype: float32
268
+ shape:
269
+ - 26
270
+ names:
271
+ - left_arm_joint_1_rad
272
+ - left_arm_joint_2_rad
273
+ - left_arm_joint_3_rad
274
+ - left_arm_joint_4_rad
275
+ - left_arm_joint_5_rad
276
+ - left_arm_joint_6_rad
277
+ - left_gripper_open
278
+ - left_eef_pos_x_m
279
+ - left_eef_pos_y_m
280
+ - left_eef_pos_z_m
281
+ - left_eef_rot_euler_x_rad
282
+ - left_eef_rot_euler_y_rad
283
+ - left_eef_rot_euler_z_rad
284
+ - right_arm_joint_1_rad
285
+ - right_arm_joint_2_rad
286
+ - right_arm_joint_3_rad
287
+ - right_arm_joint_4_rad
288
+ - right_arm_joint_5_rad
289
+ - right_arm_joint_6_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
+ timestamp:
298
+ dtype: float32
299
+ shape:
300
+ - 1
301
+ names: null
302
+ frame_index:
303
+ dtype: int64
304
+ shape:
305
+ - 1
306
+ names: null
307
+ episode_index:
308
+ dtype: int64
309
+ shape:
310
+ - 1
311
+ names: null
312
+ index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ task_index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ subtask_annotation:
323
+ names: null
324
+ dtype: int32
325
+ shape:
326
+ - 5
327
+ scene_annotation:
328
+ names: null
329
+ dtype: int32
330
+ shape:
331
+ - 1
332
+ eef_sim_pose_state:
333
+ names:
334
+ - left_eef_pos_x
335
+ - left_eef_pos_y
336
+ - left_eef_pos_z
337
+ - left_eef_rot_x
338
+ - left_eef_rot_y
339
+ - left_eef_rot_z
340
+ - right_eef_pos_x
341
+ - right_eef_pos_y
342
+ - right_eef_pos_z
343
+ - right_eef_rot_x
344
+ - right_eef_rot_y
345
+ - right_eef_rot_z
346
+ dtype: float32
347
+ shape:
348
+ - 12
349
+ eef_sim_pose_action:
350
+ names:
351
+ - left_eef_pos_x
352
+ - left_eef_pos_y
353
+ - left_eef_pos_z
354
+ - left_eef_rot_x
355
+ - left_eef_rot_y
356
+ - left_eef_rot_z
357
+ - right_eef_pos_x
358
+ - right_eef_pos_y
359
+ - right_eef_pos_z
360
+ - right_eef_rot_x
361
+ - right_eef_rot_y
362
+ - right_eef_rot_z
363
+ dtype: float32
364
+ shape:
365
+ - 12
366
+ eef_direction_state:
367
+ names:
368
+ - left_eef_direction
369
+ - right_eef_direction
370
+ dtype: int32
371
+ shape:
372
+ - 2
373
+ eef_direction_action:
374
+ names:
375
+ - left_eef_direction
376
+ - right_eef_direction
377
+ dtype: int32
378
+ shape:
379
+ - 2
380
+ eef_velocity_state:
381
+ names:
382
+ - left_eef_velocity
383
+ - right_eef_velocity
384
+ dtype: int32
385
+ shape:
386
+ - 2
387
+ eef_velocity_action:
388
+ names:
389
+ - left_eef_velocity
390
+ - right_eef_velocity
391
+ dtype: int32
392
+ shape:
393
+ - 2
394
+ eef_acc_mag_state:
395
+ names:
396
+ - left_eef_acc_mag
397
+ - right_eef_acc_mag
398
+ dtype: int32
399
+ shape:
400
+ - 2
401
+ eef_acc_mag_action:
402
+ names:
403
+ - left_eef_acc_mag
404
+ - right_eef_acc_mag
405
+ dtype: int32
406
+ shape:
407
+ - 2
408
+ gripper_mode_state:
409
+ names:
410
+ - left_gripper_mode
411
+ - right_gripper_mode
412
+ dtype: int32
413
+ shape:
414
+ - 2
415
+ gripper_mode_action:
416
+ names:
417
+ - left_gripper_mode
418
+ - right_gripper_mode
419
+ dtype: int32
420
+ shape:
421
+ - 2
422
+ gripper_activity_state:
423
+ names:
424
+ - left_gripper_activity
425
+ - right_gripper_activity
426
+ dtype: int32
427
+ shape:
428
+ - 2
429
+ gripper_activity_action:
430
+ names:
431
+ - left_gripper_activity
432
+ - right_gripper_activity
433
+ dtype: int32
434
+ shape:
435
+ - 2
436
+ gripper_open_scale_state:
437
+ names:
438
+ - left_gripper_open_scale
439
+ - right_gripper_open_scale
440
+ dtype: float32
441
+ shape:
442
+ - 2
443
+ gripper_open_scale_action:
444
+ names:
445
+ - left_gripper_open_scale
446
+ - right_gripper_open_scale
447
+ dtype: float32
448
+ shape:
449
+ - 2
450
+ authors:
451
+ contributed_by:
452
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
453
+ dataset_description: This dataset uses an extended format based on LeRobot and is
454
+ fully compatible with LeRobot.
455
+ homepage: https://flagopen.github.io/RoboCOIN/
456
+ paper: https://arxiv.org/abs/2511.17441
457
+ repository: https://github.com/FlagOpen/RoboCOIN
458
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
459
+ us.
460
+ support_info: For technical support, please open an issue on our GitHub repository.
461
+ license_details: apache-2.0
462
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
463
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
464
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
465
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
466
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
467
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
468
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
469
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
470
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
471
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
472
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
473
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
474
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
475
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
476
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
477
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
478
+ additional_citations: 'If you use this dataset, please also consider citing:
479
+
480
+ LeRobot Framework: https://github.com/huggingface/lerobot
481
+
482
+ '
483
+ version_info: Initial Release
484
+ data_path: data/chunk-{id}/episode_{id}.parquet
485
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
486
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_T-shirts.yaml ADDED
@@ -0,0 +1,491 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_T-shirts
24
+ dataset_uuid: 12c90605-38c4-4fce-b333-8a75fb70309d
25
+ scene_type:
26
+ level1: office
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: black_T-shirt
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Fold the clothes on the table with the gripper.
40
+ sub_tasks:
41
+ - subtask: Lift the black T-shirt with the left gripper.
42
+ subtask_index: 0
43
+ - subtask: Abnormal.
44
+ subtask_index: 1
45
+ - subtask: Lift the black T-shirt with the right gripper.
46
+ subtask_index: 2
47
+ - subtask: Grasp the black T-shirt with the left gripper.
48
+ subtask_index: 3
49
+ - subtask: End.
50
+ subtask_index: 4
51
+ - subtask: Fold the black T-shirt downward with the right gripper.
52
+ subtask_index: 5
53
+ - subtask: Grasp the black T-shirt with the right gripper.
54
+ subtask_index: 6
55
+ - subtask: Fold the black T-shirt downward with the left gripper.
56
+ subtask_index: 7
57
+ - subtask: Fold the black T-shirt from right to left with right gripper.
58
+ subtask_index: 8
59
+ - subtask: wipe the clothes.
60
+ subtask_index: 9
61
+ - subtask: null.
62
+ subtask_index: 10
63
+ atomic_actions:
64
+ - grasp
65
+ - fold
66
+ - lift
67
+ - place
68
+ robot_name: Agilex_Cobot_Magic
69
+ end_effector_type: two_finger_end_effector
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
+ came_info:
77
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
78
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
79
+ pix_fmt=yuv420p
80
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
81
+ pix_fmt=yuv420p
82
+ depth_enabled: false
83
+ coordinate_definition: right-hand-frame
84
+ joint_rotation_dim: radian
85
+ end_translation_dim: meter
86
+ annotations:
87
+ - eef_acc_mag_annotation.jsonl
88
+ - eef_direction_annotation.jsonl
89
+ - eef_velocity_annotation.jsonl
90
+ - gripper_activity_annotation.jsonl
91
+ - gripper_mode_annotation.jsonl
92
+ - scene_annotations.jsonl
93
+ - subtask_annotations.jsonl
94
+ statistics:
95
+ total_episodes: 100
96
+ total_frames: 78640
97
+ fps: 30
98
+ total_tasks: 11
99
+ total_videos: 300
100
+ total_chunks: 1
101
+ chunks_size: 1000
102
+ state_dim: 26
103
+ action_dim: 26
104
+ camera_views: 3
105
+ dataset_size: 913.86 MB
106
+ frame_num: 78640
107
+ frame_range: 100K
108
+ dataset_size: 913.86 MB
109
+ data_structure: 'Agilex_Cobot_Magic_fold_T-shirts_qced_hardlink/
110
+
111
+ |-- annotations
112
+
113
+ | |-- eef_acc_mag_annotation.jsonl
114
+
115
+ | |-- eef_direction_annotation.jsonl
116
+
117
+ | |-- eef_velocity_annotation.jsonl
118
+
119
+ | |-- gripper_activity_annotation.jsonl
120
+
121
+ | |-- gripper_mode_annotation.jsonl
122
+
123
+ | |-- scene_annotations.jsonl
124
+
125
+ | `-- subtask_annotations.jsonl
126
+
127
+ |-- data
128
+
129
+ | `-- chunk-000
130
+
131
+ | |-- episode_000000.parquet
132
+
133
+ | |-- episode_000001.parquet
134
+
135
+ | |-- episode_000002.parquet
136
+
137
+ | |-- episode_000003.parquet
138
+
139
+ | |-- episode_000004.parquet
140
+
141
+ | |-- episode_000005.parquet
142
+
143
+ | |-- episode_000006.parquet
144
+
145
+ | |-- episode_000007.parquet
146
+
147
+ | |-- episode_000008.parquet
148
+
149
+ | |-- episode_000009.parquet
150
+
151
+ | |-- episode_000010.parquet
152
+
153
+ | `-- episode_000011.parquet
154
+
155
+ | `-- ... (88 more entries)
156
+
157
+ |-- meta
158
+
159
+ | |-- episodes.jsonl
160
+
161
+ | |-- episodes_stats.jsonl
162
+
163
+ | |-- info.json
164
+
165
+ | `-- tasks.jsonl
166
+
167
+ |-- videos
168
+
169
+ | `-- chunk-000
170
+
171
+ | |-- observation.images.cam_head_rgb
172
+
173
+ | |-- observation.images.cam_left_wrist_rgb
174
+
175
+ | `-- observation.images.cam_right_wrist_rgb
176
+
177
+ |-- info.yaml
178
+
179
+ `-- README.md'
180
+ splits:
181
+ train: 0:99
182
+ features:
183
+ observation.images.cam_head_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_left_wrist_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.images.cam_right_wrist_rgb:
222
+ dtype: video
223
+ shape:
224
+ - 480
225
+ - 640
226
+ - 3
227
+ names:
228
+ - height
229
+ - width
230
+ - channels
231
+ info:
232
+ video.height: 480
233
+ video.width: 640
234
+ video.codec: av1
235
+ video.pix_fmt: yuv420p
236
+ video.is_depth_map: false
237
+ video.fps: 30
238
+ video.channels: 3
239
+ has_audio: false
240
+ observation.state:
241
+ dtype: float32
242
+ shape:
243
+ - 26
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
+ - left_gripper_open
252
+ - left_eef_pos_x_m
253
+ - left_eef_pos_y_m
254
+ - left_eef_pos_z_m
255
+ - left_eef_rot_euler_x_rad
256
+ - left_eef_rot_euler_y_rad
257
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
265
+ - right_eef_pos_x_m
266
+ - right_eef_pos_y_m
267
+ - right_eef_pos_z_m
268
+ - right_eef_rot_euler_x_rad
269
+ - right_eef_rot_euler_y_rad
270
+ - right_eef_rot_euler_z_rad
271
+ action:
272
+ dtype: float32
273
+ shape:
274
+ - 26
275
+ names:
276
+ - left_arm_joint_1_rad
277
+ - left_arm_joint_2_rad
278
+ - left_arm_joint_3_rad
279
+ - left_arm_joint_4_rad
280
+ - left_arm_joint_5_rad
281
+ - left_arm_joint_6_rad
282
+ - left_gripper_open
283
+ - left_eef_pos_x_m
284
+ - left_eef_pos_y_m
285
+ - left_eef_pos_z_m
286
+ - left_eef_rot_euler_x_rad
287
+ - left_eef_rot_euler_y_rad
288
+ - left_eef_rot_euler_z_rad
289
+ - right_arm_joint_1_rad
290
+ - right_arm_joint_2_rad
291
+ - right_arm_joint_3_rad
292
+ - right_arm_joint_4_rad
293
+ - right_arm_joint_5_rad
294
+ - right_arm_joint_6_rad
295
+ - right_gripper_open
296
+ - right_eef_pos_x_m
297
+ - right_eef_pos_y_m
298
+ - right_eef_pos_z_m
299
+ - right_eef_rot_euler_x_rad
300
+ - right_eef_rot_euler_y_rad
301
+ - right_eef_rot_euler_z_rad
302
+ timestamp:
303
+ dtype: float32
304
+ shape:
305
+ - 1
306
+ names: null
307
+ frame_index:
308
+ dtype: int64
309
+ shape:
310
+ - 1
311
+ names: null
312
+ episode_index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ task_index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ subtask_annotation:
328
+ names: null
329
+ dtype: int32
330
+ shape:
331
+ - 5
332
+ scene_annotation:
333
+ names: null
334
+ dtype: int32
335
+ shape:
336
+ - 1
337
+ eef_sim_pose_state:
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
+ dtype: float32
352
+ shape:
353
+ - 12
354
+ eef_sim_pose_action:
355
+ names:
356
+ - left_eef_pos_x
357
+ - left_eef_pos_y
358
+ - left_eef_pos_z
359
+ - left_eef_rot_x
360
+ - left_eef_rot_y
361
+ - left_eef_rot_z
362
+ - right_eef_pos_x
363
+ - right_eef_pos_y
364
+ - right_eef_pos_z
365
+ - right_eef_rot_x
366
+ - right_eef_rot_y
367
+ - right_eef_rot_z
368
+ dtype: float32
369
+ shape:
370
+ - 12
371
+ eef_direction_state:
372
+ names:
373
+ - left_eef_direction
374
+ - right_eef_direction
375
+ dtype: int32
376
+ shape:
377
+ - 2
378
+ eef_direction_action:
379
+ names:
380
+ - left_eef_direction
381
+ - right_eef_direction
382
+ dtype: int32
383
+ shape:
384
+ - 2
385
+ eef_velocity_state:
386
+ names:
387
+ - left_eef_velocity
388
+ - right_eef_velocity
389
+ dtype: int32
390
+ shape:
391
+ - 2
392
+ eef_velocity_action:
393
+ names:
394
+ - left_eef_velocity
395
+ - right_eef_velocity
396
+ dtype: int32
397
+ shape:
398
+ - 2
399
+ eef_acc_mag_state:
400
+ names:
401
+ - left_eef_acc_mag
402
+ - right_eef_acc_mag
403
+ dtype: int32
404
+ shape:
405
+ - 2
406
+ eef_acc_mag_action:
407
+ names:
408
+ - left_eef_acc_mag
409
+ - right_eef_acc_mag
410
+ dtype: int32
411
+ shape:
412
+ - 2
413
+ gripper_mode_state:
414
+ names:
415
+ - left_gripper_mode
416
+ - right_gripper_mode
417
+ dtype: int32
418
+ shape:
419
+ - 2
420
+ gripper_mode_action:
421
+ names:
422
+ - left_gripper_mode
423
+ - right_gripper_mode
424
+ dtype: int32
425
+ shape:
426
+ - 2
427
+ gripper_activity_state:
428
+ names:
429
+ - left_gripper_activity
430
+ - right_gripper_activity
431
+ dtype: int32
432
+ shape:
433
+ - 2
434
+ gripper_activity_action:
435
+ names:
436
+ - left_gripper_activity
437
+ - right_gripper_activity
438
+ dtype: int32
439
+ shape:
440
+ - 2
441
+ gripper_open_scale_state:
442
+ names:
443
+ - left_gripper_open_scale
444
+ - right_gripper_open_scale
445
+ dtype: float32
446
+ shape:
447
+ - 2
448
+ gripper_open_scale_action:
449
+ names:
450
+ - left_gripper_open_scale
451
+ - right_gripper_open_scale
452
+ dtype: float32
453
+ shape:
454
+ - 2
455
+ authors:
456
+ contributed_by:
457
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
458
+ dataset_description: This dataset uses an extended format based on LeRobot and is
459
+ fully compatible with LeRobot.
460
+ homepage: https://flagopen.github.io/RoboCOIN/
461
+ paper: https://arxiv.org/abs/2511.17441
462
+ repository: https://github.com/FlagOpen/RoboCOIN
463
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
464
+ us.
465
+ support_info: For technical support, please open an issue on our GitHub repository.
466
+ license_details: apache-2.0
467
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
468
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
469
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
470
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
471
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
472
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
473
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
474
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
475
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
476
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
477
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
478
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
479
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
480
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
481
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
482
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
483
+ additional_citations: 'If you use this dataset, please also consider citing:
484
+
485
+ LeRobot Framework: https://github.com/huggingface/lerobot
486
+
487
+ '
488
+ version_info: Initial Release
489
+ data_path: data/chunk-{id}/episode_{id}.parquet
490
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
491
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_clothes.yaml ADDED
@@ -0,0 +1,490 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_clothes
24
+ dataset_uuid: 28dcbd54-ead7-4cfd-8605-9dd79f821d5a
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
+ - object_name: t_shirt
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - use two grippers to hold the left and right sides of the clothes and fold the clothes
40
+ on the table three times.
41
+ sub_tasks:
42
+ - subtask: End.
43
+ subtask_index: 0
44
+ - subtask: use the right arm to pull the right edge of the fabric to the left and
45
+ folds it over the left edge.
46
+ subtask_index: 1
47
+ - subtask: use the right arm to clamp the right edge of the fabric.
48
+ subtask_index: 2
49
+ - subtask: Use your right arm to clamp the cuff closest to him.
50
+ subtask_index: 3
51
+ - subtask: use the right arm to pull and place the cuff at thecentered position on
52
+ the left edge of the fabric.
53
+ subtask_index: 4
54
+ - subtask: use the right arm to pull the right edge of the fabric to the right and
55
+ folds it over the left edge.
56
+ subtask_index: 5
57
+ - subtask: grasp the left edge of the fabric with your left arm.
58
+ subtask_index: 6
59
+ - subtask: use the left arm to pull and drop the cuff onto the cuff closest to the
60
+ left arm.
61
+ subtask_index: 7
62
+ - subtask: use the right arm to pull and drop the cuff onto the cuffclosest to the
63
+ right arm.
64
+ subtask_index: 8
65
+ - subtask: Spread the clothes out flat on the table with both grippers.
66
+ subtask_index: 9
67
+ - subtask: use both arms to pull the lower edge of the fabric forward and fold it
68
+ over the upper edge.
69
+ subtask_index: 10
70
+ - subtask: use the left arm to pull and place the cuff at the centered position on
71
+ the left edge of the fabric.
72
+ subtask_index: 11
73
+ - subtask: Abnormal.
74
+ subtask_index: 12
75
+ - subtask: use both arms simultaneously to clamp the lower edge of the clothing fabric.
76
+ subtask_index: 13
77
+ - subtask: use the left arm to clamp the cuff farthest from it.
78
+ subtask_index: 14
79
+ - subtask: Use your right arm to clamp the cuff farthest to him.
80
+ subtask_index: 15
81
+ - subtask: use the left arm to clamp the cuff closest to it.
82
+ subtask_index: 16
83
+ - subtask: abnormal.
84
+ subtask_index: 17
85
+ - subtask: pull the left edge of the fabric to the left with your left arm and fold
86
+ it to the right edge.
87
+ subtask_index: 18
88
+ - subtask: Spread the long sleeves with your arms and place them on the tabletop.
89
+ subtask_index: 19
90
+ - subtask: null.
91
+ subtask_index: 20
92
+ atomic_actions:
93
+ - grasp
94
+ - fold
95
+ - press
96
+ - pick
97
+ - place
98
+ robot_name:
99
+ - Agilex_Cobot_Magic
100
+ end_effector_type: two_finger_end_effector
101
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
102
+ type information.
103
+ sensor_list:
104
+ - cam_front_rgb
105
+ - cam_left_wrist_rgb
106
+ - cam_right_wrist_rgb
107
+ came_info:
108
+ cam_front_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p
109
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
110
+ pix_fmt=yuv420p
111
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
112
+ pix_fmt=yuv420p
113
+ depth_enabled: false
114
+ coordinate_definition: right-hand-frame
115
+ joint_rotation_dim: radian
116
+ annotations:
117
+ - eef_acc_mag_annotation.jsonl
118
+ - eef_direction_annotation.jsonl
119
+ - eef_velocity_annotation.jsonl
120
+ - gripper_activity_annotation.jsonl
121
+ - gripper_mode_annotation.jsonl
122
+ - scene_annotations.jsonl
123
+ - subtask_annotations.jsonl
124
+ statistics:
125
+ total_episodes: 584
126
+ total_frames: 774487
127
+ fps: 30
128
+ total_tasks: 21
129
+ total_videos: 1752
130
+ total_chunks: 1
131
+ chunks_size: 1000
132
+ state_dim: 14
133
+ action_dim: 14
134
+ camera_views: 3
135
+ dataset_size: 27.66 GB
136
+ frame_num: 774487
137
+ frame_range: 1M
138
+ dataset_size: 27.66 GB
139
+ data_structure: 'Cobot_Magic_fold_clothes_qced_hardlink/
140
+
141
+ |-- annotations
142
+
143
+ | |-- eef_acc_mag_annotation.jsonl
144
+
145
+ | |-- eef_direction_annotation.jsonl
146
+
147
+ | |-- eef_velocity_annotation.jsonl
148
+
149
+ | |-- gripper_activity_annotation.jsonl
150
+
151
+ | |-- gripper_mode_annotation.jsonl
152
+
153
+ | |-- scene_annotations.jsonl
154
+
155
+ | `-- subtask_annotations.jsonl
156
+
157
+ |-- data
158
+
159
+ | `-- chunk-000
160
+
161
+ | |-- episode_000000.parquet
162
+
163
+ | |-- episode_000001.parquet
164
+
165
+ | |-- episode_000002.parquet
166
+
167
+ | |-- episode_000003.parquet
168
+
169
+ | |-- episode_000004.parquet
170
+
171
+ | |-- episode_000005.parquet
172
+
173
+ | |-- episode_000006.parquet
174
+
175
+ | |-- episode_000007.parquet
176
+
177
+ | |-- episode_000008.parquet
178
+
179
+ | |-- episode_000009.parquet
180
+
181
+ | |-- episode_000010.parquet
182
+
183
+ | `-- episode_000011.parquet
184
+
185
+ | `-- ... (572 more entries)
186
+
187
+ |-- meta
188
+
189
+ | |-- episodes.jsonl
190
+
191
+ | |-- episodes_stats.jsonl
192
+
193
+ | |-- info.json
194
+
195
+ | `-- tasks.jsonl
196
+
197
+ |-- videos
198
+
199
+ | `-- chunk-000
200
+
201
+ | |-- observation.images.cam_front_rgb
202
+
203
+ | |-- observation.images.cam_left_wrist_rgb
204
+
205
+ | `-- observation.images.cam_right_wrist_rgb
206
+
207
+ |-- info.yaml
208
+
209
+ `-- README.md'
210
+ splits:
211
+ train: 0:583
212
+ features:
213
+ observation.images.cam_front_rgb:
214
+ dtype: video
215
+ shape:
216
+ - 720
217
+ - 1280
218
+ - 3
219
+ names:
220
+ - height
221
+ - width
222
+ - channels
223
+ info:
224
+ video.height: 720
225
+ video.width: 1280
226
+ video.codec: av1
227
+ video.pix_fmt: yuv420p
228
+ video.is_depth_map: false
229
+ video.fps: 30
230
+ video.channels: 3
231
+ has_audio: false
232
+ observation.images.cam_left_wrist_rgb:
233
+ dtype: video
234
+ shape:
235
+ - 720
236
+ - 1280
237
+ - 3
238
+ names:
239
+ - height
240
+ - width
241
+ - channels
242
+ info:
243
+ video.height: 720
244
+ video.width: 1280
245
+ video.codec: av1
246
+ video.pix_fmt: yuv420p
247
+ video.is_depth_map: false
248
+ video.fps: 30
249
+ video.channels: 3
250
+ has_audio: false
251
+ observation.images.cam_right_wrist_rgb:
252
+ dtype: video
253
+ shape:
254
+ - 720
255
+ - 1280
256
+ - 3
257
+ names:
258
+ - height
259
+ - width
260
+ - channels
261
+ info:
262
+ video.height: 720
263
+ video.width: 1280
264
+ video.codec: av1
265
+ video.pix_fmt: yuv420p
266
+ video.is_depth_map: false
267
+ video.fps: 30
268
+ video.channels: 3
269
+ has_audio: false
270
+ observation.state:
271
+ dtype: float32
272
+ shape:
273
+ - 14
274
+ names:
275
+ - left_arm_joint_1_rad
276
+ - left_arm_joint_2_rad
277
+ - left_arm_joint_3_rad
278
+ - left_arm_joint_4_rad
279
+ - left_arm_joint_5_rad
280
+ - left_arm_joint_6_rad
281
+ - left_gripper_open
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_gripper_open
289
+ action:
290
+ dtype: float32
291
+ shape:
292
+ - 14
293
+ names:
294
+ - left_arm_joint_1_rad
295
+ - left_arm_joint_2_rad
296
+ - left_arm_joint_3_rad
297
+ - left_arm_joint_4_rad
298
+ - left_arm_joint_5_rad
299
+ - left_arm_joint_6_rad
300
+ - left_gripper_open
301
+ - right_arm_joint_1_rad
302
+ - right_arm_joint_2_rad
303
+ - right_arm_joint_3_rad
304
+ - right_arm_joint_4_rad
305
+ - right_arm_joint_5_rad
306
+ - right_arm_joint_6_rad
307
+ - right_gripper_open
308
+ timestamp:
309
+ dtype: float32
310
+ shape:
311
+ - 1
312
+ names: null
313
+ frame_index:
314
+ dtype: int64
315
+ shape:
316
+ - 1
317
+ names: null
318
+ episode_index:
319
+ dtype: int64
320
+ shape:
321
+ - 1
322
+ names: null
323
+ index:
324
+ dtype: int64
325
+ shape:
326
+ - 1
327
+ names: null
328
+ task_index:
329
+ dtype: int64
330
+ shape:
331
+ - 1
332
+ names: null
333
+ subtask_annotation:
334
+ names: null
335
+ dtype: int32
336
+ shape:
337
+ - 5
338
+ scene_annotation:
339
+ names: null
340
+ dtype: int32
341
+ shape:
342
+ - 1
343
+ eef_sim_pose_state:
344
+ names:
345
+ - left_eef_pos_x
346
+ - left_eef_pos_y
347
+ - left_eef_pos_z
348
+ - left_eef_ori_x
349
+ - left_eef_ori_y
350
+ - left_eef_ori_z
351
+ - right_eef_pos_x
352
+ - right_eef_pos_y
353
+ - right_eef_pos_z
354
+ - right_eef_ori_x
355
+ - right_eef_ori_y
356
+ - right_eef_ori_z
357
+ dtype: float32
358
+ shape:
359
+ - 12
360
+ eef_sim_pose_action:
361
+ names:
362
+ - left_eef_pos_x
363
+ - left_eef_pos_y
364
+ - left_eef_pos_z
365
+ - left_eef_ori_x
366
+ - left_eef_ori_y
367
+ - left_eef_ori_z
368
+ - right_eef_pos_x
369
+ - right_eef_pos_y
370
+ - right_eef_pos_z
371
+ - right_eef_ori_x
372
+ - right_eef_ori_y
373
+ - right_eef_ori_z
374
+ dtype: float32
375
+ shape:
376
+ - 12
377
+ eef_direction_state:
378
+ names:
379
+ - left_eef_direction
380
+ - right_eef_direction
381
+ dtype: int32
382
+ shape:
383
+ - 2
384
+ eef_direction_action:
385
+ names:
386
+ - left_eef_direction
387
+ - right_eef_direction
388
+ dtype: int32
389
+ shape:
390
+ - 2
391
+ eef_velocity_state:
392
+ names:
393
+ - left_eef_velocity
394
+ - right_eef_velocity
395
+ dtype: int32
396
+ shape:
397
+ - 2
398
+ eef_velocity_action:
399
+ names:
400
+ - left_eef_velocity
401
+ - right_eef_velocity
402
+ dtype: int32
403
+ shape:
404
+ - 2
405
+ eef_acc_mag_state:
406
+ names:
407
+ - left_eef_acc_mag
408
+ - right_eef_acc_mag
409
+ dtype: int32
410
+ shape:
411
+ - 2
412
+ eef_acc_mag_action:
413
+ names:
414
+ - left_eef_acc_mag
415
+ - right_eef_acc_mag
416
+ dtype: int32
417
+ shape:
418
+ - 2
419
+ gripper_open_scale_state:
420
+ names:
421
+ - left_gripper_open_scale
422
+ - right_gripper_open_scale
423
+ dtype: float32
424
+ shape:
425
+ - 2
426
+ gripper_open_scale_action:
427
+ names:
428
+ - left_gripper_open_scale
429
+ - right_gripper_open_scale
430
+ dtype: float32
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
+ authors:
455
+ contributed_by:
456
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
457
+ dataset_description: This dataset uses an extended format based on LeRobot and is
458
+ fully compatible with LeRobot.
459
+ homepage: https://flagopen.github.io/RoboCOIN/
460
+ paper: https://arxiv.org/abs/2511.17441
461
+ repository: https://github.com/FlagOpen/RoboCOIN
462
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
463
+ us.
464
+ support_info: For technical support, please open an issue on our GitHub repository.
465
+ license_details: apache-2.0
466
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
467
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
468
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
469
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
470
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
471
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
472
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
473
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
474
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
475
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
476
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
477
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
478
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
479
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
480
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
481
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
482
+ additional_citations: 'If you use this dataset, please also consider citing:
483
+
484
+ LeRobot Framework: https://github.com/huggingface/lerobot
485
+
486
+ '
487
+ version_info: Initial Release
488
+ data_path: data/chunk-{id}/episode_{id}.parquet
489
+ video_path: videos/chunk-{id}/observation.images.cam_front_rgb/episode_{id}.mp{id}
490
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_jeans_shorts_children's.yaml ADDED
@@ -0,0 +1,508 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_fold_jeans_shorts_children's
24
+ dataset_uuid: 2bc06e3c-fc72-45ad-bd89-8ca94645988e
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
+ - object_name: denim_shorts
36
+ - object_name: green_tray
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the children's denim shorts in half with the grippers, then fold them in half
41
+ again. Place the folded children's denim shorts on the tray with the left gripper.
42
+ again, and use the left claw to place the folded children's denim shorts on the
43
+ tray.
44
+ sub_tasks:
45
+ - subtask: Grasp the blue trousers with the right gripper.
46
+ subtask_index: 0
47
+ - subtask: Fold the blue trousers upwards with the right gripper.
48
+ subtask_index: 1
49
+ - subtask: Fold the blue trousers from right to left with the right gripper.
50
+ subtask_index: 2
51
+ - subtask: Place the folded blue trousers on the green tray with the left gripper.
52
+ subtask_index: 3
53
+ - subtask: Grasp the blue trousers with the left gripper.
54
+ subtask_index: 4
55
+ - subtask: Fold the blue trousers upwards with the left gripper.
56
+ subtask_index: 5
57
+ - subtask: Fold the blue trousers from left to right with the left gripper.
58
+ subtask_index: 6
59
+ - subtask: end.
60
+ subtask_index: 7
61
+ - subtask: null.
62
+ subtask_index: 8
63
+ atomic_actions:
64
+ - grasp
65
+ - lift
66
+ - place
67
+ - fold
68
+ robot_name:
69
+ - Agilex_Cobot_Magic
70
+ end_effector_type: two_finger_end_effector
71
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
72
+ type information.
73
+ sensor_list:
74
+ - cam_head_rgb
75
+ - cam_left_wrist_rgb
76
+ - cam_right_wrist_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ depth_enabled: false
84
+ coordinate_definition: right-hand-frame
85
+ joint_rotation_dim: radian
86
+ end_translation_dim: meter
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: 60562
98
+ fps: 30
99
+ total_tasks: 9
100
+ total_videos: 150
101
+ total_chunks: 1
102
+ chunks_size: 1000
103
+ state_dim: 26
104
+ action_dim: 26
105
+ camera_views: 3
106
+ dataset_size: 912.51 MB
107
+ frame_num: 60562
108
+ frame_range: 100K
109
+ dataset_size: 912.51 MB
110
+ data_structure: 'Agilex_Cobot_Magic_fold_jeans_shorts_children_s_qced_hardlink/
111
+
112
+ |-- annotations
113
+
114
+ | |-- eef_acc_mag_annotation.jsonl
115
+
116
+ | |-- eef_direction_annotation.jsonl
117
+
118
+ | |-- eef_velocity_annotation.jsonl
119
+
120
+ | |-- gripper_activity_annotation.jsonl
121
+
122
+ | |-- gripper_mode_annotation.jsonl
123
+
124
+ | |-- scene_annotations.jsonl
125
+
126
+ | `-- subtask_annotations.jsonl
127
+
128
+ |-- backup
129
+
130
+ | |-- data
131
+
132
+ | | `-- chunk-000
133
+
134
+ | `-- meta
135
+
136
+ | |-- episodes.jsonl
137
+
138
+ | |-- episodes_stats.jsonl
139
+
140
+ | |-- info.json
141
+
142
+ | `-- tasks.jsonl
143
+
144
+ |-- data
145
+
146
+ | `-- chunk-000
147
+
148
+ | |-- episode_000000.parquet
149
+
150
+ | |-- episode_000001.parquet
151
+
152
+ | |-- episode_000002.parquet
153
+
154
+ | |-- episode_000003.parquet
155
+
156
+ | |-- episode_000004.parquet
157
+
158
+ | |-- episode_000005.parquet
159
+
160
+ | |-- episode_000006.parquet
161
+
162
+ | |-- episode_000007.parquet
163
+
164
+ | |-- episode_000008.parquet
165
+
166
+ | |-- episode_000009.parquet
167
+
168
+ | |-- episode_000010.parquet
169
+
170
+ | `-- episode_000011.parquet
171
+
172
+ | `-- ... (38 more entries)
173
+
174
+ |-- meta
175
+
176
+ | |-- episodes.jsonl
177
+
178
+ | |-- episodes_stats.jsonl
179
+
180
+ | |-- info.json
181
+
182
+ | `-- tasks.jsonl
183
+
184
+ |-- videos
185
+
186
+ | `-- chunk-000
187
+
188
+ | |-- observation.images.cam_head_rgb
189
+
190
+ | |-- observation.images.cam_left_wrist_rgb
191
+
192
+ | `-- observation.images.cam_right_wrist_rgb
193
+
194
+ |-- info.yaml
195
+
196
+ `-- README.md'
197
+ splits:
198
+ train: 0:49
199
+ features:
200
+ observation.images.cam_head_rgb:
201
+ dtype: video
202
+ shape:
203
+ - 480
204
+ - 640
205
+ - 3
206
+ names:
207
+ - height
208
+ - width
209
+ - channels
210
+ info:
211
+ video.height: 480
212
+ video.width: 640
213
+ video.codec: av1
214
+ video.pix_fmt: yuv420p
215
+ video.is_depth_map: false
216
+ video.fps: 30
217
+ video.channels: 3
218
+ has_audio: false
219
+ observation.images.cam_left_wrist_rgb:
220
+ dtype: video
221
+ shape:
222
+ - 480
223
+ - 640
224
+ - 3
225
+ names:
226
+ - height
227
+ - width
228
+ - channels
229
+ info:
230
+ video.height: 480
231
+ video.width: 640
232
+ video.codec: av1
233
+ video.pix_fmt: yuv420p
234
+ video.is_depth_map: false
235
+ video.fps: 30
236
+ video.channels: 3
237
+ has_audio: false
238
+ observation.images.cam_right_wrist_rgb:
239
+ dtype: video
240
+ shape:
241
+ - 480
242
+ - 640
243
+ - 3
244
+ names:
245
+ - height
246
+ - width
247
+ - channels
248
+ info:
249
+ video.height: 480
250
+ video.width: 640
251
+ video.codec: av1
252
+ video.pix_fmt: yuv420p
253
+ video.is_depth_map: false
254
+ video.fps: 30
255
+ video.channels: 3
256
+ has_audio: false
257
+ observation.state:
258
+ dtype: float32
259
+ shape:
260
+ - 26
261
+ names:
262
+ - left_arm_joint_1_rad
263
+ - left_arm_joint_2_rad
264
+ - left_arm_joint_3_rad
265
+ - left_arm_joint_4_rad
266
+ - left_arm_joint_5_rad
267
+ - left_arm_joint_6_rad
268
+ - left_gripper_open
269
+ - left_eef_pos_x_m
270
+ - left_eef_pos_y_m
271
+ - left_eef_pos_z_m
272
+ - left_eef_rot_euler_x_rad
273
+ - left_eef_rot_euler_y_rad
274
+ - left_eef_rot_euler_z_rad
275
+ - right_arm_joint_1_rad
276
+ - right_arm_joint_2_rad
277
+ - right_arm_joint_3_rad
278
+ - right_arm_joint_4_rad
279
+ - right_arm_joint_5_rad
280
+ - right_arm_joint_6_rad
281
+ - right_gripper_open
282
+ - right_eef_pos_x_m
283
+ - right_eef_pos_y_m
284
+ - right_eef_pos_z_m
285
+ - right_eef_rot_euler_x_rad
286
+ - right_eef_rot_euler_y_rad
287
+ - right_eef_rot_euler_z_rad
288
+ action:
289
+ dtype: float32
290
+ shape:
291
+ - 26
292
+ names:
293
+ - left_arm_joint_1_rad
294
+ - left_arm_joint_2_rad
295
+ - left_arm_joint_3_rad
296
+ - left_arm_joint_4_rad
297
+ - left_arm_joint_5_rad
298
+ - left_arm_joint_6_rad
299
+ - left_gripper_open
300
+ - left_eef_pos_x_m
301
+ - left_eef_pos_y_m
302
+ - left_eef_pos_z_m
303
+ - left_eef_rot_euler_x_rad
304
+ - left_eef_rot_euler_y_rad
305
+ - left_eef_rot_euler_z_rad
306
+ - right_arm_joint_1_rad
307
+ - right_arm_joint_2_rad
308
+ - right_arm_joint_3_rad
309
+ - right_arm_joint_4_rad
310
+ - right_arm_joint_5_rad
311
+ - right_arm_joint_6_rad
312
+ - right_gripper_open
313
+ - right_eef_pos_x_m
314
+ - right_eef_pos_y_m
315
+ - right_eef_pos_z_m
316
+ - right_eef_rot_euler_x_rad
317
+ - right_eef_rot_euler_y_rad
318
+ - right_eef_rot_euler_z_rad
319
+ timestamp:
320
+ dtype: float32
321
+ shape:
322
+ - 1
323
+ names: null
324
+ frame_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ episode_index:
330
+ dtype: int64
331
+ shape:
332
+ - 1
333
+ names: null
334
+ index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ task_index:
340
+ dtype: int64
341
+ shape:
342
+ - 1
343
+ names: null
344
+ subtask_annotation:
345
+ names: null
346
+ shape:
347
+ - 5
348
+ dtype: int32
349
+ scene_annotation:
350
+ names: null
351
+ shape:
352
+ - 1
353
+ dtype: int32
354
+ eef_sim_pose_state:
355
+ names:
356
+ - left_eef_pos_x
357
+ - left_eef_pos_y
358
+ - left_eef_pos_z
359
+ - left_eef_rot_x
360
+ - left_eef_rot_y
361
+ - left_eef_rot_z
362
+ - right_eef_pos_x
363
+ - right_eef_pos_y
364
+ - right_eef_pos_z
365
+ - right_eef_rot_x
366
+ - right_eef_rot_y
367
+ - right_eef_rot_z
368
+ shape:
369
+ - 12
370
+ dtype: float32
371
+ eef_sim_pose_action:
372
+ names:
373
+ - left_eef_pos_x
374
+ - left_eef_pos_y
375
+ - left_eef_pos_z
376
+ - left_eef_rot_x
377
+ - left_eef_rot_y
378
+ - left_eef_rot_z
379
+ - right_eef_pos_x
380
+ - right_eef_pos_y
381
+ - right_eef_pos_z
382
+ - right_eef_rot_x
383
+ - right_eef_rot_y
384
+ - right_eef_rot_z
385
+ shape:
386
+ - 12
387
+ dtype: float32
388
+ eef_direction_state:
389
+ names:
390
+ - left_eef_direction
391
+ - right_eef_direction
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_direction_action:
396
+ names:
397
+ - left_eef_direction
398
+ - right_eef_direction
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ eef_velocity_state:
403
+ names:
404
+ - left_eef_velocity
405
+ - right_eef_velocity
406
+ shape:
407
+ - 2
408
+ dtype: int32
409
+ eef_velocity_action:
410
+ names:
411
+ - left_eef_velocity
412
+ - right_eef_velocity
413
+ shape:
414
+ - 2
415
+ dtype: int32
416
+ eef_acc_mag_state:
417
+ names:
418
+ - left_eef_acc_mag
419
+ - right_eef_acc_mag
420
+ shape:
421
+ - 2
422
+ dtype: int32
423
+ eef_acc_mag_action:
424
+ names:
425
+ - left_eef_acc_mag
426
+ - right_eef_acc_mag
427
+ shape:
428
+ - 2
429
+ dtype: int32
430
+ gripper_mode_state:
431
+ names:
432
+ - left_gripper_mode
433
+ - right_gripper_mode
434
+ shape:
435
+ - 2
436
+ dtype: int32
437
+ gripper_mode_action:
438
+ names:
439
+ - left_gripper_mode
440
+ - right_gripper_mode
441
+ shape:
442
+ - 2
443
+ dtype: int32
444
+ gripper_activity_state:
445
+ names:
446
+ - left_gripper_activity
447
+ - right_gripper_activity
448
+ shape:
449
+ - 2
450
+ dtype: int32
451
+ gripper_activity_action:
452
+ names:
453
+ - left_gripper_activity
454
+ - right_gripper_activity
455
+ shape:
456
+ - 2
457
+ dtype: int32
458
+ gripper_open_scale_state:
459
+ names:
460
+ - left_gripper_open_scale
461
+ - right_gripper_open_scale
462
+ dtype: float32
463
+ shape:
464
+ - 2
465
+ gripper_open_scale_action:
466
+ names:
467
+ - left_gripper_open_scale
468
+ - right_gripper_open_scale
469
+ dtype: float32
470
+ shape:
471
+ - 2
472
+ authors:
473
+ contributed_by:
474
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
475
+ dataset_description: This dataset uses an extended format based on LeRobot and is
476
+ fully compatible with LeRobot.
477
+ homepage: https://flagopen.github.io/RoboCOIN/
478
+ paper: https://arxiv.org/abs/2511.17441
479
+ repository: https://github.com/FlagOpen/RoboCOIN
480
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
481
+ us.
482
+ support_info: For technical support, please open an issue on our GitHub repository.
483
+ license_details: apache-2.0
484
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
485
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
486
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
487
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
488
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
489
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
490
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
491
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
492
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
493
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
494
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
495
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
496
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
497
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
498
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
499
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
500
+ additional_citations: 'If you use this dataset, please also consider citing:
501
+
502
+ LeRobot Framework: https://github.com/huggingface/lerobot
503
+
504
+ '
505
+ version_info: Initial Release
506
+ data_path: data/chunk-{id}/episode_{id}.parquet
507
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
508
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_short_sleeve_black.yaml ADDED
@@ -0,0 +1,495 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_short_sleeve_black
24
+ dataset_uuid: 24a2a9e4-060c-4451-8c52-6c0c40cb2fa3
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
+ - object_name: black_T-shirt
36
+ - object_name: green_tray
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the black short sleeve with two grippers, and place the folded black short
41
+ sleeve on the tray with the left claw.
42
+ sub_tasks:
43
+ - subtask: Lift the black T-shirt with the left gripper.
44
+ subtask_index: 0
45
+ - subtask: Lift the black T-shirt with the right gripper.
46
+ subtask_index: 1
47
+ - subtask: Grasp the black T-shirt with the left gripper.
48
+ subtask_index: 2
49
+ - subtask: Fold the black T-shirt downward with the right gripper.
50
+ subtask_index: 3
51
+ - subtask: Grasp the black T-shirt with the right gripper.
52
+ subtask_index: 4
53
+ - subtask: Fold the black T-shirt downward with the left gripper.
54
+ subtask_index: 5
55
+ - subtask: Fold the black T-shirt from right to left with right gripper.
56
+ subtask_index: 6
57
+ - subtask: abnormal.
58
+ subtask_index: 7
59
+ - subtask: end.
60
+ subtask_index: 8
61
+ - subtask: Fold the black T-shirt from left to right with left gripper.
62
+ subtask_index: 9
63
+ - subtask: Place the folded black T-shirt on the green tray with the left gripper.
64
+ subtask_index: 10
65
+ - subtask: null.
66
+ subtask_index: 11
67
+ atomic_actions:
68
+ - grasp
69
+ - lift
70
+ - place
71
+ - fold
72
+ robot_name: Agilex_Cobot_Magic
73
+ end_effector_type: two_finger_end_effector
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_translation_dim: meter
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: 50
100
+ total_frames: 76223
101
+ fps: 30
102
+ total_tasks: 12
103
+ total_videos: 150
104
+ total_chunks: 1
105
+ chunks_size: 1000
106
+ state_dim: 26
107
+ action_dim: 26
108
+ camera_views: 3
109
+ dataset_size: 999.69 MB
110
+ frame_num: 76223
111
+ frame_range: 100K
112
+ dataset_size: 999.69 MB
113
+ data_structure: 'Agilex_Cobot_Magic_fold_short_sleeve_black_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
+ | `-- ... (38 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: 0:49
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
+ - 26
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
+ - left_gripper_open
256
+ - left_eef_pos_x_m
257
+ - left_eef_pos_y_m
258
+ - left_eef_pos_z_m
259
+ - left_eef_rot_euler_x_rad
260
+ - left_eef_rot_euler_y_rad
261
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
269
+ - right_eef_pos_x_m
270
+ - right_eef_pos_y_m
271
+ - right_eef_pos_z_m
272
+ - right_eef_rot_euler_x_rad
273
+ - right_eef_rot_euler_y_rad
274
+ - right_eef_rot_euler_z_rad
275
+ action:
276
+ dtype: float32
277
+ shape:
278
+ - 26
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
+ - left_gripper_open
287
+ - left_eef_pos_x_m
288
+ - left_eef_pos_y_m
289
+ - left_eef_pos_z_m
290
+ - left_eef_rot_euler_x_rad
291
+ - left_eef_rot_euler_y_rad
292
+ - left_eef_rot_euler_z_rad
293
+ - right_arm_joint_1_rad
294
+ - right_arm_joint_2_rad
295
+ - right_arm_joint_3_rad
296
+ - right_arm_joint_4_rad
297
+ - right_arm_joint_5_rad
298
+ - right_arm_joint_6_rad
299
+ - right_gripper_open
300
+ - right_eef_pos_x_m
301
+ - right_eef_pos_y_m
302
+ - right_eef_pos_z_m
303
+ - right_eef_rot_euler_x_rad
304
+ - right_eef_rot_euler_y_rad
305
+ - right_eef_rot_euler_z_rad
306
+ timestamp:
307
+ dtype: float32
308
+ shape:
309
+ - 1
310
+ names: null
311
+ frame_index:
312
+ dtype: int64
313
+ shape:
314
+ - 1
315
+ names: null
316
+ episode_index:
317
+ dtype: int64
318
+ shape:
319
+ - 1
320
+ names: null
321
+ index:
322
+ dtype: int64
323
+ shape:
324
+ - 1
325
+ names: null
326
+ task_index:
327
+ dtype: int64
328
+ shape:
329
+ - 1
330
+ names: null
331
+ subtask_annotation:
332
+ names: null
333
+ dtype: int32
334
+ shape:
335
+ - 5
336
+ scene_annotation:
337
+ names: null
338
+ dtype: int32
339
+ shape:
340
+ - 1
341
+ eef_sim_pose_state:
342
+ names:
343
+ - left_eef_pos_x
344
+ - left_eef_pos_y
345
+ - left_eef_pos_z
346
+ - left_eef_rot_x
347
+ - left_eef_rot_y
348
+ - left_eef_rot_z
349
+ - right_eef_pos_x
350
+ - right_eef_pos_y
351
+ - right_eef_pos_z
352
+ - right_eef_rot_x
353
+ - right_eef_rot_y
354
+ - right_eef_rot_z
355
+ dtype: float32
356
+ shape:
357
+ - 12
358
+ eef_sim_pose_action:
359
+ names:
360
+ - left_eef_pos_x
361
+ - left_eef_pos_y
362
+ - left_eef_pos_z
363
+ - left_eef_rot_x
364
+ - left_eef_rot_y
365
+ - left_eef_rot_z
366
+ - right_eef_pos_x
367
+ - right_eef_pos_y
368
+ - right_eef_pos_z
369
+ - right_eef_rot_x
370
+ - right_eef_rot_y
371
+ - right_eef_rot_z
372
+ dtype: float32
373
+ shape:
374
+ - 12
375
+ eef_direction_state:
376
+ names:
377
+ - left_eef_direction
378
+ - right_eef_direction
379
+ dtype: int32
380
+ shape:
381
+ - 2
382
+ eef_direction_action:
383
+ names:
384
+ - left_eef_direction
385
+ - right_eef_direction
386
+ dtype: int32
387
+ shape:
388
+ - 2
389
+ eef_velocity_state:
390
+ names:
391
+ - left_eef_velocity
392
+ - right_eef_velocity
393
+ dtype: int32
394
+ shape:
395
+ - 2
396
+ eef_velocity_action:
397
+ names:
398
+ - left_eef_velocity
399
+ - right_eef_velocity
400
+ dtype: int32
401
+ shape:
402
+ - 2
403
+ eef_acc_mag_state:
404
+ names:
405
+ - left_eef_acc_mag
406
+ - right_eef_acc_mag
407
+ dtype: int32
408
+ shape:
409
+ - 2
410
+ eef_acc_mag_action:
411
+ names:
412
+ - left_eef_acc_mag
413
+ - right_eef_acc_mag
414
+ dtype: int32
415
+ shape:
416
+ - 2
417
+ gripper_mode_state:
418
+ names:
419
+ - left_gripper_mode
420
+ - right_gripper_mode
421
+ dtype: int32
422
+ shape:
423
+ - 2
424
+ gripper_mode_action:
425
+ names:
426
+ - left_gripper_mode
427
+ - right_gripper_mode
428
+ dtype: int32
429
+ shape:
430
+ - 2
431
+ gripper_activity_state:
432
+ names:
433
+ - left_gripper_activity
434
+ - right_gripper_activity
435
+ dtype: int32
436
+ shape:
437
+ - 2
438
+ gripper_activity_action:
439
+ names:
440
+ - left_gripper_activity
441
+ - right_gripper_activity
442
+ dtype: int32
443
+ shape:
444
+ - 2
445
+ gripper_open_scale_state:
446
+ names:
447
+ - left_gripper_open_scale
448
+ - right_gripper_open_scale
449
+ dtype: float32
450
+ shape:
451
+ - 2
452
+ gripper_open_scale_action:
453
+ names:
454
+ - left_gripper_open_scale
455
+ - right_gripper_open_scale
456
+ dtype: float32
457
+ shape:
458
+ - 2
459
+ authors:
460
+ contributed_by:
461
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
462
+ dataset_description: This dataset uses an extended format based on LeRobot and is
463
+ fully compatible with LeRobot.
464
+ homepage: https://flagopen.github.io/RoboCOIN/
465
+ paper: https://arxiv.org/abs/2511.17441
466
+ repository: https://github.com/FlagOpen/RoboCOIN
467
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
468
+ us.
469
+ support_info: For technical support, please open an issue on our GitHub repository.
470
+ license_details: apache-2.0
471
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
472
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
473
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
474
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
475
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
476
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
477
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
478
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
479
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
480
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
481
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
482
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
483
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
484
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
485
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
486
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
487
+ additional_citations: 'If you use this dataset, please also consider citing:
488
+
489
+ LeRobot Framework: https://github.com/huggingface/lerobot
490
+
491
+ '
492
+ version_info: Initial Release
493
+ data_path: data/chunk-{id}/episode_{id}.parquet
494
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
495
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_short_sleeve_white.yaml ADDED
@@ -0,0 +1,569 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_fold_short_sleeve_white
24
+ dataset_uuid: 774e7025-eb94-4c42-841f-ab64f9849b1f
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
+ - object_name: white_T-shirt
36
+ - object_name: green_tray
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the white short sleeve with two grippers, and place the folded white short
41
+ sleeve on the tray with the left claw.
42
+ sub_tasks:
43
+ - subtask: Lift the white T-shirt with the left gripper.
44
+ subtask_index: 0
45
+ - subtask: Place the folded white T-shirt on the green tray with the left gripper.
46
+ subtask_index: 1
47
+ - subtask: Fold the white T-shirt from left to right with left gripper.
48
+ subtask_index: 2
49
+ - subtask: Fold the white T-shirt from right to left with right gripper.
50
+ subtask_index: 3
51
+ - subtask: Grasp the white T-shirt with the right gripper.
52
+ subtask_index: 4
53
+ - subtask: End.
54
+ subtask_index: 5
55
+ - subtask: Fold the white T-shirt downward with the left gripper.
56
+ subtask_index: 6
57
+ - subtask: Fold the white T-shirt downward with the right gripper.
58
+ subtask_index: 7
59
+ - subtask: Lift the white T-shirt with the right gripper.
60
+ subtask_index: 8
61
+ - subtask: Grasp the white T-shirt with the left gripper.
62
+ subtask_index: 9
63
+ - subtask: null.
64
+ subtask_index: 10
65
+ atomic_actions:
66
+ - grasp
67
+ - lift
68
+ - place
69
+ - fold
70
+ robot_name: Agilex_Cobot_Magic
71
+ end_effector_type: two_finger_end_effector
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
+ 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
+ depth_enabled: false
85
+ coordinate_definition: right-hand-frame
86
+ joint_rotation_dim: radian
87
+ end_translation_dim: meter
88
+ annotations:
89
+ - eef_acc_mag_annotation.jsonl
90
+ - eef_direction_annotation.jsonl
91
+ - eef_velocity_annotation.jsonl
92
+ - gripper_activity_annotation.jsonl
93
+ - gripper_mode_annotation.jsonl
94
+ - scene_annotations.jsonl
95
+ - subtask_annotations.jsonl
96
+ statistics:
97
+ total_episodes: 50
98
+ total_frames: 70709
99
+ fps: 30
100
+ total_tasks: 11
101
+ total_videos: 150
102
+ total_chunks: 1
103
+ chunks_size: 1000
104
+ state_dim: 26
105
+ action_dim: 26
106
+ camera_views: 3
107
+ dataset_size: 916.92 MB
108
+ frame_num: 70709
109
+ frame_range: 100K
110
+ dataset_size: 916.92 MB
111
+ data_structure: 'Agilex_Cobot_Magic_fold_short_sleeve_white_qced_hardlink/
112
+
113
+ |-- annotations
114
+
115
+ | |-- eef_acc_mag_annotation.jsonl
116
+
117
+ | |-- eef_direction_annotation.jsonl
118
+
119
+ | |-- eef_velocity_annotation.jsonl
120
+
121
+ | |-- gripper_activity_annotation.jsonl
122
+
123
+ | |-- gripper_mode_annotation.jsonl
124
+
125
+ | |-- scene_annotations.jsonl
126
+
127
+ | `-- subtask_annotations.jsonl
128
+
129
+ |-- data
130
+
131
+ | `-- chunk-000
132
+
133
+ | |-- episode_000000.parquet
134
+
135
+ | |-- episode_000001.parquet
136
+
137
+ | |-- episode_000002.parquet
138
+
139
+ | |-- episode_000003.parquet
140
+
141
+ | |-- episode_000004.parquet
142
+
143
+ | |-- episode_000005.parquet
144
+
145
+ | |-- episode_000006.parquet
146
+
147
+ | |-- episode_000007.parquet
148
+
149
+ | |-- episode_000008.parquet
150
+
151
+ | |-- episode_000009.parquet
152
+
153
+ | |-- episode_000010.parquet
154
+
155
+ | `-- episode_000011.parquet
156
+
157
+ | `-- ... (38 more entries)
158
+
159
+ |-- debug
160
+
161
+ | |-- episode_0000
162
+
163
+ | | |-- images
164
+
165
+ | | `-- trace_report.md
166
+
167
+ | |-- episode_0001
168
+
169
+ | | |-- images
170
+
171
+ | | `-- trace_report.md
172
+
173
+ | |-- episode_0002
174
+
175
+ | | |-- images
176
+
177
+ | | `-- trace_report.md
178
+
179
+ | |-- episode_0003
180
+
181
+ | | |-- images
182
+
183
+ | | `-- trace_report.md
184
+
185
+ | |-- episode_0004
186
+
187
+ | | |-- images
188
+
189
+ | | `-- trace_report.md
190
+
191
+ | |-- episode_0005
192
+
193
+ | | |-- images
194
+
195
+ | | `-- trace_report.md
196
+
197
+ | |-- episode_0006
198
+
199
+ | | |-- images
200
+
201
+ | | `-- trace_report.md
202
+
203
+ | |-- episode_0007
204
+
205
+ | | |-- images
206
+
207
+ | | `-- trace_report.md
208
+
209
+ | |-- episode_0008
210
+
211
+ | | |-- images
212
+
213
+ | | `-- trace_report.md
214
+
215
+ | |-- episode_0009
216
+
217
+ | | |-- images
218
+
219
+ | | `-- trace_report.md
220
+
221
+ | |-- episode_0010
222
+
223
+ | | |-- images
224
+
225
+ | | `-- trace_report.md
226
+
227
+ | `-- episode_0011
228
+
229
+ | |-- images
230
+
231
+ | `-- trace_report.md
232
+
233
+ | `-- ... (38 more entries)
234
+
235
+ |-- meta
236
+
237
+ | |-- episodes.jsonl
238
+
239
+ | |-- episodes_stats.jsonl
240
+
241
+ | |-- info.json
242
+
243
+ | `-- tasks.jsonl
244
+
245
+ |-- videos
246
+
247
+ | `-- chunk-000
248
+
249
+ | |-- observation.images.cam_head_rgb
250
+
251
+ | |-- observation.images.cam_left_wrist_rgb
252
+
253
+ | `-- observation.images.cam_right_wrist_rgb
254
+
255
+ |-- info.yaml
256
+
257
+ `-- README.md'
258
+ splits:
259
+ train: 0:49
260
+ features:
261
+ observation.images.cam_head_rgb:
262
+ dtype: video
263
+ shape:
264
+ - 480
265
+ - 640
266
+ - 3
267
+ names:
268
+ - height
269
+ - width
270
+ - channels
271
+ info:
272
+ video.height: 480
273
+ video.width: 640
274
+ video.codec: av1
275
+ video.pix_fmt: yuv420p
276
+ video.is_depth_map: false
277
+ video.fps: 30
278
+ video.channels: 3
279
+ has_audio: false
280
+ observation.images.cam_left_wrist_rgb:
281
+ dtype: video
282
+ shape:
283
+ - 480
284
+ - 640
285
+ - 3
286
+ names:
287
+ - height
288
+ - width
289
+ - channels
290
+ info:
291
+ video.height: 480
292
+ video.width: 640
293
+ video.codec: av1
294
+ video.pix_fmt: yuv420p
295
+ video.is_depth_map: false
296
+ video.fps: 30
297
+ video.channels: 3
298
+ has_audio: false
299
+ observation.images.cam_right_wrist_rgb:
300
+ dtype: video
301
+ shape:
302
+ - 480
303
+ - 640
304
+ - 3
305
+ names:
306
+ - height
307
+ - width
308
+ - channels
309
+ info:
310
+ video.height: 480
311
+ video.width: 640
312
+ video.codec: av1
313
+ video.pix_fmt: yuv420p
314
+ video.is_depth_map: false
315
+ video.fps: 30
316
+ video.channels: 3
317
+ has_audio: false
318
+ observation.state:
319
+ dtype: float32
320
+ shape:
321
+ - 26
322
+ names:
323
+ - left_arm_joint_1_rad
324
+ - left_arm_joint_2_rad
325
+ - left_arm_joint_3_rad
326
+ - left_arm_joint_4_rad
327
+ - left_arm_joint_5_rad
328
+ - left_arm_joint_6_rad
329
+ - left_gripper_open
330
+ - left_eef_pos_x_m
331
+ - left_eef_pos_y_m
332
+ - left_eef_pos_z_m
333
+ - left_eef_rot_euler_x_rad
334
+ - left_eef_rot_euler_y_rad
335
+ - left_eef_rot_euler_z_rad
336
+ - right_arm_joint_1_rad
337
+ - right_arm_joint_2_rad
338
+ - right_arm_joint_3_rad
339
+ - right_arm_joint_4_rad
340
+ - right_arm_joint_5_rad
341
+ - right_arm_joint_6_rad
342
+ - right_gripper_open
343
+ - right_eef_pos_x_m
344
+ - right_eef_pos_y_m
345
+ - right_eef_pos_z_m
346
+ - right_eef_rot_euler_x_rad
347
+ - right_eef_rot_euler_y_rad
348
+ - right_eef_rot_euler_z_rad
349
+ action:
350
+ dtype: float32
351
+ shape:
352
+ - 26
353
+ names:
354
+ - left_arm_joint_1_rad
355
+ - left_arm_joint_2_rad
356
+ - left_arm_joint_3_rad
357
+ - left_arm_joint_4_rad
358
+ - left_arm_joint_5_rad
359
+ - left_arm_joint_6_rad
360
+ - left_gripper_open
361
+ - left_eef_pos_x_m
362
+ - left_eef_pos_y_m
363
+ - left_eef_pos_z_m
364
+ - left_eef_rot_euler_x_rad
365
+ - left_eef_rot_euler_y_rad
366
+ - left_eef_rot_euler_z_rad
367
+ - right_arm_joint_1_rad
368
+ - right_arm_joint_2_rad
369
+ - right_arm_joint_3_rad
370
+ - right_arm_joint_4_rad
371
+ - right_arm_joint_5_rad
372
+ - right_arm_joint_6_rad
373
+ - right_gripper_open
374
+ - right_eef_pos_x_m
375
+ - right_eef_pos_y_m
376
+ - right_eef_pos_z_m
377
+ - right_eef_rot_euler_x_rad
378
+ - right_eef_rot_euler_y_rad
379
+ - right_eef_rot_euler_z_rad
380
+ timestamp:
381
+ dtype: float32
382
+ shape:
383
+ - 1
384
+ names: null
385
+ frame_index:
386
+ dtype: int64
387
+ shape:
388
+ - 1
389
+ names: null
390
+ episode_index:
391
+ dtype: int64
392
+ shape:
393
+ - 1
394
+ names: null
395
+ index:
396
+ dtype: int64
397
+ shape:
398
+ - 1
399
+ names: null
400
+ task_index:
401
+ dtype: int64
402
+ shape:
403
+ - 1
404
+ names: null
405
+ subtask_annotation:
406
+ names: null
407
+ dtype: int32
408
+ shape:
409
+ - 5
410
+ scene_annotation:
411
+ names: null
412
+ dtype: int32
413
+ shape:
414
+ - 1
415
+ eef_sim_pose_state:
416
+ names:
417
+ - left_eef_pos_x
418
+ - left_eef_pos_y
419
+ - left_eef_pos_z
420
+ - left_eef_rot_x
421
+ - left_eef_rot_y
422
+ - left_eef_rot_z
423
+ - right_eef_pos_x
424
+ - right_eef_pos_y
425
+ - right_eef_pos_z
426
+ - right_eef_rot_x
427
+ - right_eef_rot_y
428
+ - right_eef_rot_z
429
+ dtype: float32
430
+ shape:
431
+ - 12
432
+ eef_sim_pose_action:
433
+ names:
434
+ - left_eef_pos_x
435
+ - left_eef_pos_y
436
+ - left_eef_pos_z
437
+ - left_eef_rot_x
438
+ - left_eef_rot_y
439
+ - left_eef_rot_z
440
+ - right_eef_pos_x
441
+ - right_eef_pos_y
442
+ - right_eef_pos_z
443
+ - right_eef_rot_x
444
+ - right_eef_rot_y
445
+ - right_eef_rot_z
446
+ dtype: float32
447
+ shape:
448
+ - 12
449
+ eef_direction_state:
450
+ names:
451
+ - left_eef_direction
452
+ - right_eef_direction
453
+ dtype: int32
454
+ shape:
455
+ - 2
456
+ eef_direction_action:
457
+ names:
458
+ - left_eef_direction
459
+ - right_eef_direction
460
+ dtype: int32
461
+ shape:
462
+ - 2
463
+ eef_velocity_state:
464
+ names:
465
+ - left_eef_velocity
466
+ - right_eef_velocity
467
+ dtype: int32
468
+ shape:
469
+ - 2
470
+ eef_velocity_action:
471
+ names:
472
+ - left_eef_velocity
473
+ - right_eef_velocity
474
+ dtype: int32
475
+ shape:
476
+ - 2
477
+ eef_acc_mag_state:
478
+ names:
479
+ - left_eef_acc_mag
480
+ - right_eef_acc_mag
481
+ dtype: int32
482
+ shape:
483
+ - 2
484
+ eef_acc_mag_action:
485
+ names:
486
+ - left_eef_acc_mag
487
+ - right_eef_acc_mag
488
+ dtype: int32
489
+ shape:
490
+ - 2
491
+ gripper_mode_state:
492
+ names:
493
+ - left_gripper_mode
494
+ - right_gripper_mode
495
+ dtype: int32
496
+ shape:
497
+ - 2
498
+ gripper_mode_action:
499
+ names:
500
+ - left_gripper_mode
501
+ - right_gripper_mode
502
+ dtype: int32
503
+ shape:
504
+ - 2
505
+ gripper_activity_state:
506
+ names:
507
+ - left_gripper_activity
508
+ - right_gripper_activity
509
+ dtype: int32
510
+ shape:
511
+ - 2
512
+ gripper_activity_action:
513
+ names:
514
+ - left_gripper_activity
515
+ - right_gripper_activity
516
+ dtype: int32
517
+ shape:
518
+ - 2
519
+ gripper_open_scale_state:
520
+ names:
521
+ - left_gripper_open_scale
522
+ - right_gripper_open_scale
523
+ dtype: float32
524
+ shape:
525
+ - 2
526
+ gripper_open_scale_action:
527
+ names:
528
+ - left_gripper_open_scale
529
+ - right_gripper_open_scale
530
+ dtype: float32
531
+ shape:
532
+ - 2
533
+ authors:
534
+ contributed_by:
535
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
536
+ dataset_description: This dataset uses an extended format based on LeRobot and is
537
+ fully compatible with LeRobot.
538
+ homepage: https://flagopen.github.io/RoboCOIN/
539
+ paper: https://arxiv.org/abs/2511.17441
540
+ repository: https://github.com/FlagOpen/RoboCOIN
541
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
542
+ us.
543
+ support_info: For technical support, please open an issue on our GitHub repository.
544
+ license_details: apache-2.0
545
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
546
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
547
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
548
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
549
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
550
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
551
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
552
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
553
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
554
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
555
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
556
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
557
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
558
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
559
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
560
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
561
+ additional_citations: 'If you use this dataset, please also consider citing:
562
+
563
+ LeRobot Framework: https://github.com/huggingface/lerobot
564
+
565
+ '
566
+ version_info: Initial Release
567
+ data_path: data/chunk-{id}/episode_{id}.parquet
568
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
569
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_shorts_khaki.yaml ADDED
@@ -0,0 +1,489 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: badf13bf-e421-4740-86c4-c1d440d8b465
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
+ - object_name: khaki_shorts
36
+ - object_name: green_tray
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the khaki jeans in half with the grippers, then fold them in half again. Place
41
+ the folded khaki jeans on the tray with the left gripper.
42
+ sub_tasks:
43
+ - subtask: Fold the khaki trousers from right to left with the right gripper.
44
+ subtask_index: 0
45
+ - subtask: Fold the khaki trousers upwards with the right gripper.
46
+ subtask_index: 1
47
+ - subtask: Fold the khaki trousers from left to right with the left gripper.
48
+ subtask_index: 2
49
+ - subtask: Fold the khaki trousers upwards with the left gripper.
50
+ subtask_index: 3
51
+ - subtask: Place the folded khaki trousers on the green tray with the left gripper.
52
+ subtask_index: 4
53
+ - subtask: Grasp the khaki trousers with the left gripper.
54
+ subtask_index: 5
55
+ - subtask: Grasp the khaki trousers with the right gripper.
56
+ subtask_index: 6
57
+ - subtask: end.
58
+ subtask_index: 7
59
+ - subtask: null.
60
+ subtask_index: 8
61
+ atomic_actions:
62
+ - grasp
63
+ - lift
64
+ - place
65
+ - fold
66
+ robot_name: Agilex_Cobot_Magic
67
+ end_effector_type: two_finger_end_effector
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
+ came_info:
75
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
76
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
77
+ pix_fmt=yuv420p
78
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
79
+ pix_fmt=yuv420p
80
+ depth_enabled: false
81
+ coordinate_definition: right-hand-frame
82
+ joint_rotation_dim: radian
83
+ end_translation_dim: meter
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: 50
94
+ total_frames: 55392
95
+ fps: 30
96
+ total_tasks: 9
97
+ total_videos: 150
98
+ total_chunks: 1
99
+ chunks_size: 1000
100
+ state_dim: 26
101
+ action_dim: 26
102
+ camera_views: 3
103
+ dataset_size: 637.64 MB
104
+ frame_num: 55392
105
+ frame_range: 100K
106
+ dataset_size: 637.64 MB
107
+ data_structure: 'Agilex_Cobot_Magic_fold_shorts_khaki_qced_hardlink/
108
+
109
+ |-- annotations
110
+
111
+ | |-- eef_acc_mag_annotation.jsonl
112
+
113
+ | |-- eef_direction_annotation.jsonl
114
+
115
+ | |-- eef_velocity_annotation.jsonl
116
+
117
+ | |-- gripper_activity_annotation.jsonl
118
+
119
+ | |-- gripper_mode_annotation.jsonl
120
+
121
+ | |-- scene_annotations.jsonl
122
+
123
+ | `-- subtask_annotations.jsonl
124
+
125
+ |-- data
126
+
127
+ | `-- chunk-000
128
+
129
+ | |-- episode_000000.parquet
130
+
131
+ | |-- episode_000001.parquet
132
+
133
+ | |-- episode_000002.parquet
134
+
135
+ | |-- episode_000003.parquet
136
+
137
+ | |-- episode_000004.parquet
138
+
139
+ | |-- episode_000005.parquet
140
+
141
+ | |-- episode_000006.parquet
142
+
143
+ | |-- episode_000007.parquet
144
+
145
+ | |-- episode_000008.parquet
146
+
147
+ | |-- episode_000009.parquet
148
+
149
+ | |-- episode_000010.parquet
150
+
151
+ | `-- episode_000011.parquet
152
+
153
+ | `-- ... (38 more entries)
154
+
155
+ |-- meta
156
+
157
+ | |-- episodes.jsonl
158
+
159
+ | |-- episodes_stats.jsonl
160
+
161
+ | |-- info.json
162
+
163
+ | `-- tasks.jsonl
164
+
165
+ |-- videos
166
+
167
+ | `-- chunk-000
168
+
169
+ | |-- observation.images.cam_head_rgb
170
+
171
+ | |-- observation.images.cam_left_wrist_rgb
172
+
173
+ | `-- observation.images.cam_right_wrist_rgb
174
+
175
+ |-- info.yaml
176
+
177
+ `-- README.md'
178
+ splits:
179
+ train: 0:49
180
+ features:
181
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
201
+ dtype: video
202
+ shape:
203
+ - 480
204
+ - 640
205
+ - 3
206
+ names:
207
+ - height
208
+ - width
209
+ - channels
210
+ info:
211
+ video.height: 480
212
+ video.width: 640
213
+ video.codec: av1
214
+ video.pix_fmt: yuv420p
215
+ video.is_depth_map: false
216
+ video.fps: 30
217
+ video.channels: 3
218
+ has_audio: false
219
+ observation.images.cam_right_wrist_rgb:
220
+ dtype: video
221
+ shape:
222
+ - 480
223
+ - 640
224
+ - 3
225
+ names:
226
+ - height
227
+ - width
228
+ - channels
229
+ info:
230
+ video.height: 480
231
+ video.width: 640
232
+ video.codec: av1
233
+ video.pix_fmt: yuv420p
234
+ video.is_depth_map: false
235
+ video.fps: 30
236
+ video.channels: 3
237
+ has_audio: false
238
+ observation.state:
239
+ dtype: float32
240
+ shape:
241
+ - 26
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
+ - left_gripper_open
250
+ - left_eef_pos_x_m
251
+ - left_eef_pos_y_m
252
+ - left_eef_pos_z_m
253
+ - left_eef_rot_euler_x_rad
254
+ - left_eef_rot_euler_y_rad
255
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
263
+ - right_eef_pos_x_m
264
+ - right_eef_pos_y_m
265
+ - right_eef_pos_z_m
266
+ - right_eef_rot_euler_x_rad
267
+ - right_eef_rot_euler_y_rad
268
+ - right_eef_rot_euler_z_rad
269
+ action:
270
+ dtype: float32
271
+ shape:
272
+ - 26
273
+ names:
274
+ - left_arm_joint_1_rad
275
+ - left_arm_joint_2_rad
276
+ - left_arm_joint_3_rad
277
+ - left_arm_joint_4_rad
278
+ - left_arm_joint_5_rad
279
+ - left_arm_joint_6_rad
280
+ - left_gripper_open
281
+ - left_eef_pos_x_m
282
+ - left_eef_pos_y_m
283
+ - left_eef_pos_z_m
284
+ - left_eef_rot_euler_x_rad
285
+ - left_eef_rot_euler_y_rad
286
+ - left_eef_rot_euler_z_rad
287
+ - right_arm_joint_1_rad
288
+ - right_arm_joint_2_rad
289
+ - right_arm_joint_3_rad
290
+ - right_arm_joint_4_rad
291
+ - right_arm_joint_5_rad
292
+ - right_arm_joint_6_rad
293
+ - right_gripper_open
294
+ - right_eef_pos_x_m
295
+ - right_eef_pos_y_m
296
+ - right_eef_pos_z_m
297
+ - right_eef_rot_euler_x_rad
298
+ - right_eef_rot_euler_y_rad
299
+ - right_eef_rot_euler_z_rad
300
+ timestamp:
301
+ dtype: float32
302
+ shape:
303
+ - 1
304
+ names: null
305
+ frame_index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ episode_index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ task_index:
321
+ dtype: int64
322
+ shape:
323
+ - 1
324
+ names: null
325
+ subtask_annotation:
326
+ names: null
327
+ dtype: int32
328
+ shape:
329
+ - 5
330
+ scene_annotation:
331
+ names: null
332
+ dtype: int32
333
+ shape:
334
+ - 1
335
+ eef_sim_pose_state:
336
+ names:
337
+ - left_eef_pos_x
338
+ - left_eef_pos_y
339
+ - left_eef_pos_z
340
+ - left_eef_rot_x
341
+ - left_eef_rot_y
342
+ - left_eef_rot_z
343
+ - right_eef_pos_x
344
+ - right_eef_pos_y
345
+ - right_eef_pos_z
346
+ - right_eef_rot_x
347
+ - right_eef_rot_y
348
+ - right_eef_rot_z
349
+ dtype: float32
350
+ shape:
351
+ - 12
352
+ eef_sim_pose_action:
353
+ names:
354
+ - left_eef_pos_x
355
+ - left_eef_pos_y
356
+ - left_eef_pos_z
357
+ - left_eef_rot_x
358
+ - left_eef_rot_y
359
+ - left_eef_rot_z
360
+ - right_eef_pos_x
361
+ - right_eef_pos_y
362
+ - right_eef_pos_z
363
+ - right_eef_rot_x
364
+ - right_eef_rot_y
365
+ - right_eef_rot_z
366
+ dtype: float32
367
+ shape:
368
+ - 12
369
+ eef_direction_state:
370
+ names:
371
+ - left_eef_direction
372
+ - right_eef_direction
373
+ dtype: int32
374
+ shape:
375
+ - 2
376
+ eef_direction_action:
377
+ names:
378
+ - left_eef_direction
379
+ - right_eef_direction
380
+ dtype: int32
381
+ shape:
382
+ - 2
383
+ eef_velocity_state:
384
+ names:
385
+ - left_eef_velocity
386
+ - right_eef_velocity
387
+ dtype: int32
388
+ shape:
389
+ - 2
390
+ eef_velocity_action:
391
+ names:
392
+ - left_eef_velocity
393
+ - right_eef_velocity
394
+ dtype: int32
395
+ shape:
396
+ - 2
397
+ eef_acc_mag_state:
398
+ names:
399
+ - left_eef_acc_mag
400
+ - right_eef_acc_mag
401
+ dtype: int32
402
+ shape:
403
+ - 2
404
+ eef_acc_mag_action:
405
+ names:
406
+ - left_eef_acc_mag
407
+ - right_eef_acc_mag
408
+ dtype: int32
409
+ shape:
410
+ - 2
411
+ gripper_mode_state:
412
+ names:
413
+ - left_gripper_mode
414
+ - right_gripper_mode
415
+ dtype: int32
416
+ shape:
417
+ - 2
418
+ gripper_mode_action:
419
+ names:
420
+ - left_gripper_mode
421
+ - right_gripper_mode
422
+ dtype: int32
423
+ shape:
424
+ - 2
425
+ gripper_activity_state:
426
+ names:
427
+ - left_gripper_activity
428
+ - right_gripper_activity
429
+ dtype: int32
430
+ shape:
431
+ - 2
432
+ gripper_activity_action:
433
+ names:
434
+ - left_gripper_activity
435
+ - right_gripper_activity
436
+ dtype: int32
437
+ shape:
438
+ - 2
439
+ gripper_open_scale_state:
440
+ names:
441
+ - left_gripper_open_scale
442
+ - right_gripper_open_scale
443
+ dtype: float32
444
+ shape:
445
+ - 2
446
+ gripper_open_scale_action:
447
+ names:
448
+ - left_gripper_open_scale
449
+ - right_gripper_open_scale
450
+ dtype: float32
451
+ shape:
452
+ - 2
453
+ authors:
454
+ contributed_by:
455
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
456
+ dataset_description: This dataset uses an extended format based on LeRobot and is
457
+ fully compatible with LeRobot.
458
+ homepage: https://flagopen.github.io/RoboCOIN/
459
+ paper: https://arxiv.org/abs/2511.17441
460
+ repository: https://github.com/FlagOpen/RoboCOIN
461
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
462
+ us.
463
+ support_info: For technical support, please open an issue on our GitHub repository.
464
+ license_details: apache-2.0
465
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
466
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
467
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
468
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
469
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
470
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
471
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
472
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
473
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
474
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
475
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
476
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
477
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
478
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
479
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
480
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
481
+ additional_citations: 'If you use this dataset, please also consider citing:
482
+
483
+ LeRobot Framework: https://github.com/huggingface/lerobot
484
+
485
+ '
486
+ version_info: Initial Release
487
+ data_path: data/chunk-{id}/episode_{id}.parquet
488
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
489
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_the_pants.yaml ADDED
@@ -0,0 +1,502 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_fold_the_pants
24
+ dataset_uuid: 2d20404b-b035-4962-9e8e-055858867cb3
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: pants
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Place the pants with the back facing upwards and the cuffs facing to the left. Grasp
40
+ the cuffs with the left gripper and the leg with the right gripper, then fold it
41
+ forward. Lift the folded cuffs with the left gripper and fold them against the leg.
42
+ Adjust the position of the pants to the center of the table with the gripper.
43
+ - Place the pants with the back facing upwards and the cuffs facing to the right.
44
+ Grasp the cuffs with the right gripper. Grasp the leg with the left gripper and
45
+ fold it forward. Lift the folded cuffs with the right gripper and fold them against
46
+ the leg. Adjust the position of the pants to the center of the table with the gripper.
47
+ - Place the pants with the front facing upwards and the cuffs facing to the left.
48
+ Grasp the cuffs with the left gripper and the leg with the right gripper, then fold
49
+ it forward. Lift the folded cuffs with the left gripper and fold them against the
50
+ leg. Adjust the position of the pants to the center of the table with the gripper.
51
+ - Place the pants with the front facing upwards and the cuffs facing to the right.
52
+ Grasp the cuffs with the right gripper. Grasp the leg with the left gripper and
53
+ fold it forward. Lift the folded cuffs with the right gripper and fold them against
54
+ the leg. Adjust the position of the pants to the center of the table with the gripper.
55
+ - the left gripper grasp the cuffs, the right gripper grasp the leg and fold it forward,
56
+ the left gripper lift the folded cuffs and fold them against the leg, adjust the
57
+ position of the pants to the center of the table.
58
+ - the pants are placed with the back facing upwards, the cuffs facing to the right,the
59
+ right gripper grasp the cuffs, the left gripper grasp the leg and fold it forward,the
60
+ right gripper lift the folded cuffs and fold them against the leg, adjust the position
61
+ of the pants to the center of the table.
62
+ - the pants are placed with the front facing upwards, the cuffs facing to the left,the
63
+ left gripper grasp the cuffs, the right gripper grasp the leg and fold it forward,the
64
+ left gripper lift the folded cuffs and fold them against the leg, adjust the position
65
+ of the pants to the center of the table.
66
+ - the pants are placed with the front facing upwards, the cuffs facing to the right,the
67
+ right gripper grasp the cuffs, the left gripper grasp the leg and fold it forward,the
68
+ right gripper lift the folded cuffs and fold them against the leg, adjust the position
69
+ of the pants to the center of the table.
70
+ sub_tasks:
71
+ - subtask: Fold the bottom of the pants upward.
72
+ subtask_index: 0
73
+ - subtask: Fold the pants from left to right.
74
+ subtask_index: 1
75
+ - subtask: Fold your pants from right to left.
76
+ subtask_index: 2
77
+ - subtask: null.
78
+ subtask_index: 3
79
+ atomic_actions:
80
+ - grasp
81
+ - fold
82
+ robot_name:
83
+ - Agilex_Cobot_Magic
84
+ end_effector_type: two_finger_end_effector
85
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
86
+ type information.
87
+ sensor_list:
88
+ - cam_high_rgb
89
+ - cam_left_wrist_rgb
90
+ - cam_right_wrist_rgb
91
+ came_info:
92
+ cam_high_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p
93
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
94
+ pix_fmt=yuv420p
95
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
96
+ pix_fmt=yuv420p
97
+ depth_enabled: false
98
+ coordinate_definition: right-hand-frame
99
+ joint_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
+ - subtasks.jsonl
110
+ statistics:
111
+ total_episodes: 486
112
+ total_frames: 402577
113
+ fps: 30
114
+ total_tasks: 4
115
+ total_videos: 1458
116
+ total_chunks: 1
117
+ chunks_size: 1000
118
+ state_dim: 26
119
+ action_dim: 26
120
+ camera_views: 3
121
+ dataset_size: 8.48 GB
122
+ frame_num: 402577
123
+ frame_range: 1M
124
+ dataset_size: 8.48 GB
125
+ data_structure: 'Split_aloha_fold_the_pants_qced_hardlink/
126
+
127
+ |-- annotations
128
+
129
+ | |-- eef_acc_mag_annotation.jsonl
130
+
131
+ | |-- eef_direction_annotation.jsonl
132
+
133
+ | |-- eef_velocity_annotation.jsonl
134
+
135
+ | |-- gripper_activity_annotation.jsonl
136
+
137
+ | |-- gripper_mode_annotation.jsonl
138
+
139
+ | |-- scene_annotations.jsonl
140
+
141
+ | |-- subtask_annotations.jsonl
142
+
143
+ | `-- subtasks.jsonl
144
+
145
+ |-- data
146
+
147
+ | `-- chunk-000
148
+
149
+ | |-- episode_000000.parquet
150
+
151
+ | |-- episode_000001.parquet
152
+
153
+ | |-- episode_000002.parquet
154
+
155
+ | |-- episode_000003.parquet
156
+
157
+ | |-- episode_000004.parquet
158
+
159
+ | |-- episode_000005.parquet
160
+
161
+ | |-- episode_000006.parquet
162
+
163
+ | |-- episode_000007.parquet
164
+
165
+ | |-- episode_000008.parquet
166
+
167
+ | |-- episode_000009.parquet
168
+
169
+ | |-- episode_000010.parquet
170
+
171
+ | `-- episode_000011.parquet
172
+
173
+ | `-- ... (473 more entries)
174
+
175
+ |-- meta
176
+
177
+ | |-- episodes.jsonl
178
+
179
+ | |-- episodes_stats.jsonl
180
+
181
+ | |-- info.json
182
+
183
+ | `-- tasks.jsonl
184
+
185
+ |-- videos
186
+
187
+ | `-- chunk-000
188
+
189
+ | |-- observation.images.cam_high_rgb
190
+
191
+ | |-- observation.images.cam_left_wrist_rgb
192
+
193
+ | `-- observation.images.cam_right_wrist_rgb
194
+
195
+ |-- info.yaml
196
+
197
+ `-- README.md'
198
+ splits:
199
+ train: 0:485
200
+ features:
201
+ observation.images.cam_high_rgb:
202
+ dtype: video
203
+ shape:
204
+ - 720
205
+ - 1280
206
+ - 3
207
+ names:
208
+ - height
209
+ - width
210
+ - channels
211
+ info:
212
+ video.height: 720
213
+ video.width: 1280
214
+ video.codec: av1
215
+ video.pix_fmt: yuv420p
216
+ video.is_depth_map: false
217
+ video.fps: 30
218
+ video.channels: 3
219
+ has_audio: false
220
+ observation.images.cam_left_wrist_rgb:
221
+ dtype: video
222
+ shape:
223
+ - 480
224
+ - 640
225
+ - 3
226
+ names:
227
+ - height
228
+ - width
229
+ - channels
230
+ info:
231
+ video.height: 480
232
+ video.width: 640
233
+ video.codec: av1
234
+ video.pix_fmt: yuv420p
235
+ video.is_depth_map: false
236
+ video.fps: 30
237
+ video.channels: 3
238
+ has_audio: false
239
+ observation.images.cam_right_wrist_rgb:
240
+ dtype: video
241
+ shape:
242
+ - 480
243
+ - 640
244
+ - 3
245
+ names:
246
+ - height
247
+ - width
248
+ - channels
249
+ info:
250
+ video.height: 480
251
+ video.width: 640
252
+ video.codec: av1
253
+ video.pix_fmt: yuv420p
254
+ video.is_depth_map: false
255
+ video.fps: 30
256
+ video.channels: 3
257
+ has_audio: false
258
+ observation.state:
259
+ dtype: float32
260
+ shape:
261
+ - 26
262
+ names:
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_gripper_open
270
+ - left_eef_pos_x_m
271
+ - left_eef_pos_y_m
272
+ - left_eef_pos_z_m
273
+ - left_eef_rot_euler_x_rad
274
+ - left_eef_rot_euler_y_rad
275
+ - left_eef_rot_euler_z_rad
276
+ - right_arm_joint_1_rad
277
+ - right_arm_joint_2_rad
278
+ - right_arm_joint_3_rad
279
+ - right_arm_joint_4_rad
280
+ - right_arm_joint_5_rad
281
+ - right_arm_joint_6_rad
282
+ - right_gripper_open
283
+ - right_eef_pos_x_m
284
+ - right_eef_pos_y_m
285
+ - right_eef_pos_z_m
286
+ - right_eef_rot_euler_x_rad
287
+ - right_eef_rot_euler_y_rad
288
+ - right_eef_rot_euler_z_rad
289
+ action:
290
+ dtype: float32
291
+ shape:
292
+ - 26
293
+ names:
294
+ - left_arm_joint_1_rad
295
+ - left_arm_joint_2_rad
296
+ - left_arm_joint_3_rad
297
+ - left_arm_joint_4_rad
298
+ - left_arm_joint_5_rad
299
+ - left_arm_joint_6_rad
300
+ - left_gripper_open
301
+ - left_eef_pos_x_m
302
+ - left_eef_pos_y_m
303
+ - left_eef_pos_z_m
304
+ - left_eef_rot_euler_x_rad
305
+ - left_eef_rot_euler_y_rad
306
+ - left_eef_rot_euler_z_rad
307
+ - right_arm_joint_1_rad
308
+ - right_arm_joint_2_rad
309
+ - right_arm_joint_3_rad
310
+ - right_arm_joint_4_rad
311
+ - right_arm_joint_5_rad
312
+ - right_arm_joint_6_rad
313
+ - right_gripper_open
314
+ - right_eef_pos_x_m
315
+ - right_eef_pos_y_m
316
+ - right_eef_pos_z_m
317
+ - right_eef_rot_euler_x_rad
318
+ - right_eef_rot_euler_y_rad
319
+ - right_eef_rot_euler_z_rad
320
+ timestamp:
321
+ dtype: float32
322
+ shape:
323
+ - 1
324
+ names: null
325
+ frame_index:
326
+ dtype: int64
327
+ shape:
328
+ - 1
329
+ names: null
330
+ episode_index:
331
+ dtype: int64
332
+ shape:
333
+ - 1
334
+ names: null
335
+ index:
336
+ dtype: int64
337
+ shape:
338
+ - 1
339
+ names: null
340
+ task_index:
341
+ dtype: int64
342
+ shape:
343
+ - 1
344
+ names: null
345
+ subtask_annotation:
346
+ names: null
347
+ dtype: int32
348
+ shape:
349
+ - 5
350
+ scene_annotation:
351
+ names: null
352
+ dtype: int32
353
+ shape:
354
+ - 1
355
+ eef_sim_pose_state:
356
+ names:
357
+ - left_eef_pos_x
358
+ - left_eef_pos_y
359
+ - left_eef_pos_z
360
+ - left_eef_ori_x
361
+ - left_eef_ori_y
362
+ - left_eef_ori_z
363
+ - right_eef_pos_x
364
+ - right_eef_pos_y
365
+ - right_eef_pos_z
366
+ - right_eef_ori_x
367
+ - right_eef_ori_y
368
+ - right_eef_ori_z
369
+ dtype: float32
370
+ shape:
371
+ - 12
372
+ eef_sim_pose_action:
373
+ names:
374
+ - left_eef_pos_x
375
+ - left_eef_pos_y
376
+ - left_eef_pos_z
377
+ - left_eef_ori_x
378
+ - left_eef_ori_y
379
+ - left_eef_ori_z
380
+ - right_eef_pos_x
381
+ - right_eef_pos_y
382
+ - right_eef_pos_z
383
+ - right_eef_ori_x
384
+ - right_eef_ori_y
385
+ - right_eef_ori_z
386
+ dtype: float32
387
+ shape:
388
+ - 12
389
+ eef_direction_state:
390
+ names:
391
+ - left_eef_direction
392
+ - right_eef_direction
393
+ dtype: int32
394
+ shape:
395
+ - 2
396
+ eef_direction_action:
397
+ names:
398
+ - left_eef_direction
399
+ - right_eef_direction
400
+ dtype: int32
401
+ shape:
402
+ - 2
403
+ eef_velocity_state:
404
+ names:
405
+ - left_eef_velocity
406
+ - right_eef_velocity
407
+ dtype: int32
408
+ shape:
409
+ - 2
410
+ eef_velocity_action:
411
+ names:
412
+ - left_eef_velocity
413
+ - right_eef_velocity
414
+ dtype: int32
415
+ shape:
416
+ - 2
417
+ eef_acc_mag_state:
418
+ names:
419
+ - left_eef_acc_mag
420
+ - right_eef_acc_mag
421
+ dtype: int32
422
+ shape:
423
+ - 2
424
+ eef_acc_mag_action:
425
+ names:
426
+ - left_eef_acc_mag
427
+ - right_eef_acc_mag
428
+ dtype: int32
429
+ shape:
430
+ - 2
431
+ gripper_open_scale_state:
432
+ names:
433
+ - left_gripper_open_scale
434
+ - right_gripper_open_scale
435
+ dtype: float32
436
+ shape:
437
+ - 2
438
+ gripper_open_scale_action:
439
+ names:
440
+ - left_gripper_open_scale
441
+ - right_gripper_open_scale
442
+ dtype: float32
443
+ shape:
444
+ - 2
445
+ gripper_mode_state:
446
+ names:
447
+ - left_gripper_mode
448
+ - right_gripper_mode
449
+ dtype: int32
450
+ shape:
451
+ - 2
452
+ gripper_mode_action:
453
+ names:
454
+ - left_gripper_mode
455
+ - right_gripper_mode
456
+ dtype: int32
457
+ shape:
458
+ - 2
459
+ gripper_activity_state:
460
+ names:
461
+ - left_gripper_activity
462
+ - right_gripper_activity
463
+ dtype: int32
464
+ shape:
465
+ - 2
466
+ authors:
467
+ contributed_by:
468
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
469
+ dataset_description: This dataset uses an extended format based on LeRobot and is
470
+ fully compatible with LeRobot.
471
+ homepage: https://flagopen.github.io/RoboCOIN/
472
+ paper: https://arxiv.org/abs/2511.17441
473
+ repository: https://github.com/FlagOpen/RoboCOIN
474
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
475
+ us.
476
+ support_info: For technical support, please open an issue on our GitHub repository.
477
+ license_details: apache-2.0
478
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
479
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
480
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
481
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
482
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
483
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
484
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
485
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
486
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
487
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
488
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
489
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
490
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
491
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
492
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
493
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
494
+ additional_citations: 'If you use this dataset, please also consider citing:
495
+
496
+ LeRobot Framework: https://github.com/huggingface/lerobot
497
+
498
+ '
499
+ version_info: Initial Release
500
+ data_path: data/chunk-{id}/episode_{id}.parquet
501
+ video_path: videos/chunk-{id}/observation.images.cam_high_rgb/episode_{id}.mp{id}
502
+ video_url: videos/chunk-000/observation.images.cam_high_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_towel.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_fold_towel
24
+ dataset_uuid: 7bb04959-40ba-4ab5-aa4a-595c34cc3abc
25
+ scene_type:
26
+ level1: office
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: white_towel
36
+ - object_name: orange_towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the towels on the table with the gripper.
41
+ sub_tasks:
42
+ - subtask: Fold the white towel upwards with the right gripper.
43
+ subtask_index: 0
44
+ - subtask: Grasp the orange towel with the left gripper.
45
+ subtask_index: 1
46
+ - subtask: Grasp the orange towel with the right gripper.
47
+ subtask_index: 2
48
+ - subtask: Fold the orange towel upwards with the right gripper.
49
+ subtask_index: 3
50
+ - subtask: Fold the white towel upwards with the left gripper.
51
+ subtask_index: 4
52
+ - subtask: Fold the orange towel from right to left with right gripper.
53
+ subtask_index: 5
54
+ - subtask: Press on the orange towel with the left gripper.
55
+ subtask_index: 6
56
+ - subtask: Fold the white towel from right to left with right gripper.
57
+ subtask_index: 7
58
+ - subtask: End.
59
+ subtask_index: 8
60
+ - subtask: Arrange the orange towel with the right gripper.
61
+ subtask_index: 9
62
+ - subtask: Grasp the white towel with the right gripper.
63
+ subtask_index: 10
64
+ - subtask: Fold the orange towel upwards with the left gripper.
65
+ subtask_index: 11
66
+ - subtask: Grasp the white towel with the left gripper.
67
+ subtask_index: 12
68
+ - subtask: Press on the white towel with the left gripper.
69
+ subtask_index: 13
70
+ - subtask: null.
71
+ subtask_index: 14
72
+ atomic_actions:
73
+ - grasp
74
+ - fold
75
+ - lift
76
+ - place
77
+ robot_name:
78
+ - Agilex_Cobot_Magic
79
+ end_effector_type: two_finger_end_effector
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_translation_dim: meter
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: 100
106
+ total_frames: 76161
107
+ fps: 30
108
+ total_tasks: 15
109
+ total_videos: 300
110
+ total_chunks: 1
111
+ chunks_size: 1000
112
+ state_dim: 26
113
+ action_dim: 26
114
+ camera_views: 3
115
+ dataset_size: 834.61 MB
116
+ frame_num: 76161
117
+ frame_range: 100K
118
+ dataset_size: 834.61 MB
119
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_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
+ | `-- ... (88 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: 0:99
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
+ shape:
340
+ - 5
341
+ dtype: int32
342
+ scene_annotation:
343
+ names: null
344
+ shape:
345
+ - 1
346
+ dtype: int32
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
+ shape:
362
+ - 12
363
+ dtype: float32
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
+ shape:
379
+ - 12
380
+ dtype: float32
381
+ eef_direction_state:
382
+ names:
383
+ - left_eef_direction
384
+ - right_eef_direction
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ eef_direction_action:
389
+ names:
390
+ - left_eef_direction
391
+ - right_eef_direction
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_velocity_state:
396
+ names:
397
+ - left_eef_velocity
398
+ - right_eef_velocity
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ eef_velocity_action:
403
+ names:
404
+ - left_eef_velocity
405
+ - right_eef_velocity
406
+ shape:
407
+ - 2
408
+ dtype: int32
409
+ eef_acc_mag_state:
410
+ names:
411
+ - left_eef_acc_mag
412
+ - right_eef_acc_mag
413
+ shape:
414
+ - 2
415
+ dtype: int32
416
+ eef_acc_mag_action:
417
+ names:
418
+ - left_eef_acc_mag
419
+ - right_eef_acc_mag
420
+ shape:
421
+ - 2
422
+ dtype: int32
423
+ gripper_mode_state:
424
+ names:
425
+ - left_gripper_mode
426
+ - right_gripper_mode
427
+ shape:
428
+ - 2
429
+ dtype: int32
430
+ gripper_mode_action:
431
+ names:
432
+ - left_gripper_mode
433
+ - right_gripper_mode
434
+ shape:
435
+ - 2
436
+ dtype: int32
437
+ gripper_activity_state:
438
+ names:
439
+ - left_gripper_activity
440
+ - right_gripper_activity
441
+ shape:
442
+ - 2
443
+ dtype: int32
444
+ gripper_activity_action:
445
+ names:
446
+ - left_gripper_activity
447
+ - right_gripper_activity
448
+ shape:
449
+ - 2
450
+ dtype: int32
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_towel_blue.yaml ADDED
@@ -0,0 +1,493 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_towel_blue
24
+ dataset_uuid: 60cf7d0f-2656-4819-baab-ce1b9ecb5bf1
25
+ scene_type:
26
+ level1: office
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: basket
36
+ - object_name: blue_towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the towels on the table with the gripper.
41
+ sub_tasks:
42
+ - subtask: 'Left gripper: adjust the brown towel.'
43
+ subtask_index: 0
44
+ - subtask: 'Left gripper: adjust the blue towel.'
45
+ subtask_index: 1
46
+ - subtask: 'Right gripper: adjust the blue towel.'
47
+ subtask_index: 2
48
+ - subtask: 'Right gripper: pick up the bottom right corner of blue towel.'
49
+ subtask_index: 3
50
+ - subtask: 'Left gripper: fold the blue towel from left to right.'
51
+ subtask_index: 4
52
+ - subtask: 'Left gripper: fold the blue towel up.'
53
+ subtask_index: 5
54
+ - subtask: End.
55
+ subtask_index: 6
56
+ - subtask: 'Right gripper: fold the blue towel up.'
57
+ subtask_index: 7
58
+ - subtask: 'Right gripper: spread the blue towel flat on the table.'
59
+ subtask_index: 8
60
+ - subtask: 'Left gripper: pick up the bottom left corner of blue towel.'
61
+ subtask_index: 9
62
+ - subtask: null.
63
+ subtask_index: 10
64
+ atomic_actions:
65
+ - grasp
66
+ - fold
67
+ - lift
68
+ - place
69
+ robot_name:
70
+ - Agilex_Cobot_Magic
71
+ end_effector_type: two_finger_end_effector
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_right_wrist_rgb
77
+ - cam_left_wrist_rgb
78
+ came_info:
79
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264, pix_fmt=yuv420p
80
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
81
+ pix_fmt=yuv420p
82
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
83
+ pix_fmt=yuv420p
84
+ depth_enabled: false
85
+ coordinate_definition: right-hand-frame
86
+ joint_rotation_dim: radian
87
+ end_translation_dim: meter
88
+ annotations:
89
+ - eef_acc_mag_annotation.jsonl
90
+ - eef_direction_annotation.jsonl
91
+ - eef_velocity_annotation.jsonl
92
+ - gripper_activity_annotation.jsonl
93
+ - gripper_mode_annotation.jsonl
94
+ - scene_annotations.jsonl
95
+ - subtask_annotations.jsonl
96
+ statistics:
97
+ total_episodes: 185
98
+ total_frames: 146917
99
+ fps: 30
100
+ total_tasks: 11
101
+ total_videos: 555
102
+ total_chunks: 1
103
+ chunks_size: 10000
104
+ state_dim: 26
105
+ action_dim: 26
106
+ camera_views: 3
107
+ dataset_size: 10.04 GB
108
+ frame_num: 146917
109
+ frame_range: 1M
110
+ dataset_size: 10.04 GB
111
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_blue_qced_hardlink/
112
+
113
+ |-- annotations
114
+
115
+ | |-- eef_acc_mag_annotation.jsonl
116
+
117
+ | |-- eef_direction_annotation.jsonl
118
+
119
+ | |-- eef_velocity_annotation.jsonl
120
+
121
+ | |-- gripper_activity_annotation.jsonl
122
+
123
+ | |-- gripper_mode_annotation.jsonl
124
+
125
+ | |-- scene_annotations.jsonl
126
+
127
+ | `-- subtask_annotations.jsonl
128
+
129
+ |-- data
130
+
131
+ | `-- chunk-000
132
+
133
+ | |-- episode_000000.parquet
134
+
135
+ | |-- episode_000001.parquet
136
+
137
+ | |-- episode_000002.parquet
138
+
139
+ | |-- episode_000003.parquet
140
+
141
+ | |-- episode_000004.parquet
142
+
143
+ | |-- episode_000005.parquet
144
+
145
+ | |-- episode_000006.parquet
146
+
147
+ | |-- episode_000007.parquet
148
+
149
+ | |-- episode_000008.parquet
150
+
151
+ | |-- episode_000009.parquet
152
+
153
+ | |-- episode_000010.parquet
154
+
155
+ | `-- episode_000011.parquet
156
+
157
+ | `-- ... (173 more entries)
158
+
159
+ |-- meta
160
+
161
+ | |-- episodes.jsonl
162
+
163
+ | |-- episodes_stats.jsonl
164
+
165
+ | |-- info.json
166
+
167
+ | `-- tasks.jsonl
168
+
169
+ |-- videos
170
+
171
+ | `-- chunk-000
172
+
173
+ | |-- observation.images.cam_head_rgb
174
+
175
+ | |-- observation.images.cam_left_wrist_rgb
176
+
177
+ | `-- observation.images.cam_right_wrist_rgb
178
+
179
+ |-- info.yaml
180
+
181
+ `-- README.md'
182
+ splits:
183
+ train: 0:184
184
+ features:
185
+ action:
186
+ dtype: float32
187
+ shape:
188
+ - 26
189
+ names:
190
+ - left_arm_joint_1_rad
191
+ - left_arm_joint_2_rad
192
+ - left_arm_joint_3_rad
193
+ - left_arm_joint_4_rad
194
+ - left_arm_joint_5_rad
195
+ - left_arm_joint_6_rad
196
+ - left_eef_pos_x_m
197
+ - left_eef_pos_y_m
198
+ - left_eef_pos_z_m
199
+ - left_eef_rot_euler_x_rad
200
+ - left_eef_rot_euler_y_rad
201
+ - left_eef_rot_euler_z_rad
202
+ - left_gripper_open
203
+ - right_arm_joint_1_rad
204
+ - right_arm_joint_2_rad
205
+ - right_arm_joint_3_rad
206
+ - right_arm_joint_4_rad
207
+ - right_arm_joint_5_rad
208
+ - right_arm_joint_6_rad
209
+ - right_eef_pos_x_m
210
+ - right_eef_pos_y_m
211
+ - right_eef_pos_z_m
212
+ - right_eef_rot_euler_x_rad
213
+ - right_eef_rot_euler_y_rad
214
+ - right_eef_rot_euler_z_rad
215
+ - right_gripper_open
216
+ observation.state:
217
+ dtype: float32
218
+ shape:
219
+ - 26
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
+ - left_eef_pos_x_m
228
+ - left_eef_pos_y_m
229
+ - left_eef_pos_z_m
230
+ - left_eef_rot_euler_x_rad
231
+ - left_eef_rot_euler_y_rad
232
+ - left_eef_rot_euler_z_rad
233
+ - left_gripper_open
234
+ - right_arm_joint_1_rad
235
+ - right_arm_joint_2_rad
236
+ - right_arm_joint_3_rad
237
+ - right_arm_joint_4_rad
238
+ - right_arm_joint_5_rad
239
+ - right_arm_joint_6_rad
240
+ - right_eef_pos_x_m
241
+ - right_eef_pos_y_m
242
+ - right_eef_pos_z_m
243
+ - right_eef_rot_euler_x_rad
244
+ - right_eef_rot_euler_y_rad
245
+ - right_eef_rot_euler_z_rad
246
+ - right_gripper_open
247
+ observation.images.cam_head_rgb:
248
+ dtype: video
249
+ shape:
250
+ - 480
251
+ - 640
252
+ - 3
253
+ names:
254
+ - height
255
+ - width
256
+ - channels
257
+ info:
258
+ video.fps: 30.0
259
+ video.height: 480
260
+ video.width: 640
261
+ video.channels: 3
262
+ video.codec: h264
263
+ video.pix_fmt: yuv420p
264
+ video.is_depth_map: false
265
+ has_audio: false
266
+ observation.images.cam_right_wrist_rgb:
267
+ dtype: video
268
+ shape:
269
+ - 480
270
+ - 640
271
+ - 3
272
+ names:
273
+ - height
274
+ - width
275
+ - channels
276
+ info:
277
+ video.fps: 30.0
278
+ video.height: 480
279
+ video.width: 640
280
+ video.channels: 3
281
+ video.codec: h264
282
+ video.pix_fmt: yuv420p
283
+ video.is_depth_map: false
284
+ has_audio: false
285
+ observation.images.cam_left_wrist_rgb:
286
+ dtype: video
287
+ shape:
288
+ - 480
289
+ - 640
290
+ - 3
291
+ names:
292
+ - height
293
+ - width
294
+ - channels
295
+ info:
296
+ video.fps: 30.0
297
+ video.height: 480
298
+ video.width: 640
299
+ video.channels: 3
300
+ video.codec: h264
301
+ video.pix_fmt: yuv420p
302
+ video.is_depth_map: false
303
+ has_audio: false
304
+ timestamp:
305
+ dtype: float32
306
+ shape:
307
+ - 1
308
+ names: null
309
+ frame_index:
310
+ dtype: int64
311
+ shape:
312
+ - 1
313
+ names: null
314
+ episode_index:
315
+ dtype: int64
316
+ shape:
317
+ - 1
318
+ names: null
319
+ index:
320
+ dtype: int64
321
+ shape:
322
+ - 1
323
+ names: null
324
+ task_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ subtask_annotation:
330
+ names: null
331
+ dtype: int32
332
+ shape:
333
+ - 5
334
+ scene_annotation:
335
+ names: null
336
+ dtype: int32
337
+ shape:
338
+ - 1
339
+ eef_sim_pose_state:
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
+ dtype: float32
354
+ shape:
355
+ - 12
356
+ eef_sim_pose_action:
357
+ names:
358
+ - left_eef_pos_x
359
+ - left_eef_pos_y
360
+ - left_eef_pos_z
361
+ - left_eef_rot_x
362
+ - left_eef_rot_y
363
+ - left_eef_rot_z
364
+ - right_eef_pos_x
365
+ - right_eef_pos_y
366
+ - right_eef_pos_z
367
+ - right_eef_rot_x
368
+ - right_eef_rot_y
369
+ - right_eef_rot_z
370
+ dtype: float32
371
+ shape:
372
+ - 12
373
+ eef_direction_state:
374
+ names:
375
+ - left_eef_direction
376
+ - right_eef_direction
377
+ dtype: int32
378
+ shape:
379
+ - 2
380
+ eef_direction_action:
381
+ names:
382
+ - left_eef_direction
383
+ - right_eef_direction
384
+ dtype: int32
385
+ shape:
386
+ - 2
387
+ eef_velocity_state:
388
+ names:
389
+ - left_eef_velocity
390
+ - right_eef_velocity
391
+ dtype: int32
392
+ shape:
393
+ - 2
394
+ eef_velocity_action:
395
+ names:
396
+ - left_eef_velocity
397
+ - right_eef_velocity
398
+ dtype: int32
399
+ shape:
400
+ - 2
401
+ eef_acc_mag_state:
402
+ names:
403
+ - left_eef_acc_mag
404
+ - right_eef_acc_mag
405
+ dtype: int32
406
+ shape:
407
+ - 2
408
+ eef_acc_mag_action:
409
+ names:
410
+ - left_eef_acc_mag
411
+ - right_eef_acc_mag
412
+ dtype: int32
413
+ shape:
414
+ - 2
415
+ gripper_mode_state:
416
+ names:
417
+ - left_gripper_mode
418
+ - right_gripper_mode
419
+ dtype: int32
420
+ shape:
421
+ - 2
422
+ gripper_mode_action:
423
+ names:
424
+ - left_gripper_mode
425
+ - right_gripper_mode
426
+ dtype: int32
427
+ shape:
428
+ - 2
429
+ gripper_activity_state:
430
+ names:
431
+ - left_gripper_activity
432
+ - right_gripper_activity
433
+ dtype: int32
434
+ shape:
435
+ - 2
436
+ gripper_activity_action:
437
+ names:
438
+ - left_gripper_activity
439
+ - right_gripper_activity
440
+ dtype: int32
441
+ shape:
442
+ - 2
443
+ gripper_open_scale_state:
444
+ names:
445
+ - left_gripper_open_scale
446
+ - right_gripper_open_scale
447
+ dtype: float32
448
+ shape:
449
+ - 2
450
+ gripper_open_scale_action:
451
+ names:
452
+ - left_gripper_open_scale
453
+ - right_gripper_open_scale
454
+ dtype: float32
455
+ shape:
456
+ - 2
457
+ authors:
458
+ contributed_by:
459
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
460
+ dataset_description: This dataset uses an extended format based on LeRobot and is
461
+ fully compatible with LeRobot.
462
+ homepage: https://flagopen.github.io/RoboCOIN/
463
+ paper: https://arxiv.org/abs/2511.17441
464
+ repository: https://github.com/FlagOpen/RoboCOIN
465
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
466
+ us.
467
+ support_info: For technical support, please open an issue on our GitHub repository.
468
+ license_details: apache-2.0
469
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
470
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
471
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
472
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
473
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
474
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
475
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
476
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
477
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
478
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
479
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
480
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
481
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
482
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
483
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
484
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
485
+ additional_citations: 'If you use this dataset, please also consider citing:
486
+
487
+ LeRobot Framework: https://github.com/huggingface/lerobot
488
+
489
+ '
490
+ version_info: Initial Release
491
+ data_path: data/chunk-{id}/episode_{id}.parquet
492
+ video_path: videos/chunk-{id}/observation.images.cam_right_wrist_rgb/episode_{id}.mp{id}
493
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_towel_blue_tray.yaml ADDED
@@ -0,0 +1,487 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_towel_blue_tray
24
+ dataset_uuid: f6af986b-77ef-4cd9-b913-2dd630e785d4
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
+ - object_name: green_tray
36
+ - object_name: blue_square_towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Grasp the edge of the towel with both grippers and fold it forward. Grasp the right
41
+ edge and fold it again. Place the folded towel on the tray with a gripper.
42
+ sub_tasks:
43
+ - subtask: Fold the blue white towel upwards with the right gripper.
44
+ subtask_index: 0
45
+ - subtask: Fold the blue white towel upwards with the left gripper.
46
+ subtask_index: 1
47
+ - subtask: Grasp the blue white towel with the right gripper.
48
+ subtask_index: 2
49
+ - subtask: Fold the blue white towel from right to left with right gripper.
50
+ subtask_index: 3
51
+ - subtask: Grasp the blue white towel with the left gripper.
52
+ subtask_index: 4
53
+ - subtask: end.
54
+ subtask_index: 5
55
+ - subtask: Place the folded gray towel on the green tray with the right gripper.
56
+ subtask_index: 6
57
+ - subtask: null.
58
+ subtask_index: 7
59
+ atomic_actions:
60
+ - grasp
61
+ - lift
62
+ - place
63
+ - fold
64
+ robot_name: Agilex_Cobot_Magic
65
+ end_effector_type: two_finger_end_effector
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
+ 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
+ depth_enabled: false
79
+ coordinate_definition: right-hand-frame
80
+ joint_rotation_dim: radian
81
+ end_translation_dim: meter
82
+ annotations:
83
+ - eef_acc_mag_annotation.jsonl
84
+ - eef_direction_annotation.jsonl
85
+ - eef_velocity_annotation.jsonl
86
+ - gripper_activity_annotation.jsonl
87
+ - gripper_mode_annotation.jsonl
88
+ - scene_annotations.jsonl
89
+ - subtask_annotations.jsonl
90
+ statistics:
91
+ total_episodes: 50
92
+ total_frames: 63491
93
+ fps: 30
94
+ total_tasks: 8
95
+ total_videos: 150
96
+ total_chunks: 1
97
+ chunks_size: 1000
98
+ state_dim: 26
99
+ action_dim: 26
100
+ camera_views: 3
101
+ dataset_size: 935.31 MB
102
+ frame_num: 63491
103
+ frame_range: 100K
104
+ dataset_size: 935.31 MB
105
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_blue_tray_qced_hardlink/
106
+
107
+ |-- annotations
108
+
109
+ | |-- eef_acc_mag_annotation.jsonl
110
+
111
+ | |-- eef_direction_annotation.jsonl
112
+
113
+ | |-- eef_velocity_annotation.jsonl
114
+
115
+ | |-- gripper_activity_annotation.jsonl
116
+
117
+ | |-- gripper_mode_annotation.jsonl
118
+
119
+ | |-- scene_annotations.jsonl
120
+
121
+ | `-- subtask_annotations.jsonl
122
+
123
+ |-- data
124
+
125
+ | `-- chunk-000
126
+
127
+ | |-- episode_000000.parquet
128
+
129
+ | |-- episode_000001.parquet
130
+
131
+ | |-- episode_000002.parquet
132
+
133
+ | |-- episode_000003.parquet
134
+
135
+ | |-- episode_000004.parquet
136
+
137
+ | |-- episode_000005.parquet
138
+
139
+ | |-- episode_000006.parquet
140
+
141
+ | |-- episode_000007.parquet
142
+
143
+ | |-- episode_000008.parquet
144
+
145
+ | |-- episode_000009.parquet
146
+
147
+ | |-- episode_000010.parquet
148
+
149
+ | `-- episode_000011.parquet
150
+
151
+ | `-- ... (38 more entries)
152
+
153
+ |-- meta
154
+
155
+ | |-- episodes.jsonl
156
+
157
+ | |-- episodes_stats.jsonl
158
+
159
+ | |-- info.json
160
+
161
+ | `-- tasks.jsonl
162
+
163
+ |-- videos
164
+
165
+ | `-- chunk-000
166
+
167
+ | |-- observation.images.cam_head_rgb
168
+
169
+ | |-- observation.images.cam_left_wrist_rgb
170
+
171
+ | `-- observation.images.cam_right_wrist_rgb
172
+
173
+ |-- info.yaml
174
+
175
+ `-- README.md'
176
+ splits:
177
+ train: 0:49
178
+ features:
179
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
199
+ dtype: video
200
+ shape:
201
+ - 480
202
+ - 640
203
+ - 3
204
+ names:
205
+ - height
206
+ - width
207
+ - channels
208
+ info:
209
+ video.height: 480
210
+ video.width: 640
211
+ video.codec: av1
212
+ video.pix_fmt: yuv420p
213
+ video.is_depth_map: false
214
+ video.fps: 30
215
+ video.channels: 3
216
+ has_audio: false
217
+ observation.images.cam_right_wrist_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 480
221
+ - 640
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 480
229
+ video.width: 640
230
+ video.codec: av1
231
+ video.pix_fmt: yuv420p
232
+ video.is_depth_map: false
233
+ video.fps: 30
234
+ video.channels: 3
235
+ has_audio: false
236
+ observation.state:
237
+ dtype: float32
238
+ shape:
239
+ - 26
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
+ - left_gripper_open
248
+ - left_eef_pos_x_m
249
+ - left_eef_pos_y_m
250
+ - left_eef_pos_z_m
251
+ - left_eef_rot_euler_x_rad
252
+ - left_eef_rot_euler_y_rad
253
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
261
+ - right_eef_pos_x_m
262
+ - right_eef_pos_y_m
263
+ - right_eef_pos_z_m
264
+ - right_eef_rot_euler_x_rad
265
+ - right_eef_rot_euler_y_rad
266
+ - right_eef_rot_euler_z_rad
267
+ action:
268
+ dtype: float32
269
+ shape:
270
+ - 26
271
+ names:
272
+ - left_arm_joint_1_rad
273
+ - left_arm_joint_2_rad
274
+ - left_arm_joint_3_rad
275
+ - left_arm_joint_4_rad
276
+ - left_arm_joint_5_rad
277
+ - left_arm_joint_6_rad
278
+ - left_gripper_open
279
+ - left_eef_pos_x_m
280
+ - left_eef_pos_y_m
281
+ - left_eef_pos_z_m
282
+ - left_eef_rot_euler_x_rad
283
+ - left_eef_rot_euler_y_rad
284
+ - left_eef_rot_euler_z_rad
285
+ - right_arm_joint_1_rad
286
+ - right_arm_joint_2_rad
287
+ - right_arm_joint_3_rad
288
+ - right_arm_joint_4_rad
289
+ - right_arm_joint_5_rad
290
+ - right_arm_joint_6_rad
291
+ - right_gripper_open
292
+ - right_eef_pos_x_m
293
+ - right_eef_pos_y_m
294
+ - right_eef_pos_z_m
295
+ - right_eef_rot_euler_x_rad
296
+ - right_eef_rot_euler_y_rad
297
+ - right_eef_rot_euler_z_rad
298
+ 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
+ dtype: int32
326
+ shape:
327
+ - 5
328
+ scene_annotation:
329
+ names: null
330
+ dtype: int32
331
+ shape:
332
+ - 1
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
+ dtype: float32
348
+ shape:
349
+ - 12
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
+ dtype: float32
365
+ shape:
366
+ - 12
367
+ eef_direction_state:
368
+ names:
369
+ - left_eef_direction
370
+ - right_eef_direction
371
+ dtype: int32
372
+ shape:
373
+ - 2
374
+ eef_direction_action:
375
+ names:
376
+ - left_eef_direction
377
+ - right_eef_direction
378
+ dtype: int32
379
+ shape:
380
+ - 2
381
+ eef_velocity_state:
382
+ names:
383
+ - left_eef_velocity
384
+ - right_eef_velocity
385
+ dtype: int32
386
+ shape:
387
+ - 2
388
+ eef_velocity_action:
389
+ names:
390
+ - left_eef_velocity
391
+ - right_eef_velocity
392
+ dtype: int32
393
+ shape:
394
+ - 2
395
+ eef_acc_mag_state:
396
+ names:
397
+ - left_eef_acc_mag
398
+ - right_eef_acc_mag
399
+ dtype: int32
400
+ shape:
401
+ - 2
402
+ eef_acc_mag_action:
403
+ names:
404
+ - left_eef_acc_mag
405
+ - right_eef_acc_mag
406
+ dtype: int32
407
+ shape:
408
+ - 2
409
+ gripper_mode_state:
410
+ names:
411
+ - left_gripper_mode
412
+ - right_gripper_mode
413
+ dtype: int32
414
+ shape:
415
+ - 2
416
+ gripper_mode_action:
417
+ names:
418
+ - left_gripper_mode
419
+ - right_gripper_mode
420
+ dtype: int32
421
+ shape:
422
+ - 2
423
+ gripper_activity_state:
424
+ names:
425
+ - left_gripper_activity
426
+ - right_gripper_activity
427
+ dtype: int32
428
+ shape:
429
+ - 2
430
+ gripper_activity_action:
431
+ names:
432
+ - left_gripper_activity
433
+ - right_gripper_activity
434
+ dtype: int32
435
+ shape:
436
+ - 2
437
+ gripper_open_scale_state:
438
+ names:
439
+ - left_gripper_open_scale
440
+ - right_gripper_open_scale
441
+ dtype: float32
442
+ shape:
443
+ - 2
444
+ gripper_open_scale_action:
445
+ names:
446
+ - left_gripper_open_scale
447
+ - right_gripper_open_scale
448
+ dtype: float32
449
+ shape:
450
+ - 2
451
+ authors:
452
+ contributed_by:
453
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
454
+ dataset_description: This dataset uses an extended format based on LeRobot and is
455
+ fully compatible with LeRobot.
456
+ homepage: https://flagopen.github.io/RoboCOIN/
457
+ paper: https://arxiv.org/abs/2511.17441
458
+ repository: https://github.com/FlagOpen/RoboCOIN
459
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
460
+ us.
461
+ support_info: For technical support, please open an issue on our GitHub repository.
462
+ license_details: apache-2.0
463
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
464
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
465
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
466
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
467
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
468
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
469
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
470
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
471
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
472
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
473
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
474
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
475
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
476
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
477
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
478
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
479
+ additional_citations: 'If you use this dataset, please also consider citing:
480
+
481
+ LeRobot Framework: https://github.com/huggingface/lerobot
482
+
483
+ '
484
+ version_info: Initial Release
485
+ data_path: data/chunk-{id}/episode_{id}.parquet
486
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
487
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_towel_brown.yaml ADDED
@@ -0,0 +1,496 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_towel_brown
24
+ dataset_uuid: fc6e3f46-105a-456c-afc4-b3ca8e701857
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
+ - object_name: basket
36
+ - object_name: towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the towel on the table three times with the grippers.
41
+ sub_tasks:
42
+ - subtask: 'Left gripper: adjust the brown towel.'
43
+ subtask_index: 0
44
+ - subtask: 'Left gripper: spread the brown towel flat on the table.'
45
+ subtask_index: 1
46
+ - subtask: 'Right gripper: spread the brown towel flat on the table.'
47
+ subtask_index: 2
48
+ - subtask: End.
49
+ subtask_index: 3
50
+ - subtask: 'Left gripper: fold the brown towel from left to right.'
51
+ subtask_index: 4
52
+ - subtask: 'Right gripper: pick up the bottom right corner of brown towel.'
53
+ subtask_index: 5
54
+ - subtask: 'Right gripper: adjust the brown towel.'
55
+ subtask_index: 6
56
+ - subtask: 'Left gripper: fold the brown towel up.'
57
+ subtask_index: 7
58
+ - subtask: 'Right gripper: fold the brown towel up.'
59
+ subtask_index: 8
60
+ - subtask: 'Left gripper: pick up the bottom left corner of brown towel.'
61
+ subtask_index: 9
62
+ - subtask: null.
63
+ subtask_index: 10
64
+ atomic_actions:
65
+ - grasp
66
+ - unfold
67
+ - fold
68
+ - pick
69
+ - place
70
+ robot_name:
71
+ - Agilex_Cobot_Magic
72
+ end_effector_type: two_finger_end_effector
73
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
74
+ type information.
75
+ sensor_list:
76
+ - cam_head_rgb
77
+ - cam_right_wrist_rgb
78
+ - cam_left_wrist_rgb
79
+ came_info:
80
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264, pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
82
+ pix_fmt=yuv420p
83
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
84
+ pix_fmt=yuv420p
85
+ depth_enabled: false
86
+ coordinate_definition: right-hand-frame
87
+ joint_rotation_dim: radian
88
+ end_translation_dim: meter
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: 387
99
+ total_frames: 283464
100
+ fps: 30
101
+ total_tasks: 11
102
+ total_videos: 1161
103
+ total_chunks: 1
104
+ chunks_size: 10000
105
+ state_dim: 26
106
+ action_dim: 26
107
+ camera_views: 3
108
+ dataset_size: 18.63 GB
109
+ frame_num: 283464
110
+ frame_range: 1M
111
+ dataset_size: 18.63 GB
112
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_brown_qced_hardlink/
113
+
114
+ |-- annotations
115
+
116
+ | |-- eef_acc_mag_annotation.jsonl
117
+
118
+ | |-- eef_direction_annotation.jsonl
119
+
120
+ | |-- eef_velocity_annotation.jsonl
121
+
122
+ | |-- gripper_activity_annotation.jsonl
123
+
124
+ | |-- gripper_mode_annotation.jsonl
125
+
126
+ | |-- scene_annotations.jsonl
127
+
128
+ | `-- subtask_annotations.jsonl
129
+
130
+ |-- data
131
+
132
+ | `-- chunk-000
133
+
134
+ | |-- episode_000000.parquet
135
+
136
+ | |-- episode_000001.parquet
137
+
138
+ | |-- episode_000002.parquet
139
+
140
+ | |-- episode_000003.parquet
141
+
142
+ | |-- episode_000004.parquet
143
+
144
+ | |-- episode_000005.parquet
145
+
146
+ | |-- episode_000006.parquet
147
+
148
+ | |-- episode_000007.parquet
149
+
150
+ | |-- episode_000008.parquet
151
+
152
+ | |-- episode_000009.parquet
153
+
154
+ | |-- episode_000010.parquet
155
+
156
+ | `-- episode_000011.parquet
157
+
158
+ | `-- ... (375 more entries)
159
+
160
+ |-- meta
161
+
162
+ | |-- episodes.jsonl
163
+
164
+ | |-- episodes_stats.jsonl
165
+
166
+ | |-- info.json
167
+
168
+ | `-- tasks.jsonl
169
+
170
+ |-- videos
171
+
172
+ | `-- chunk-000
173
+
174
+ | |-- observation.images.cam_head_rgb
175
+
176
+ | |-- observation.images.cam_left_wrist_rgb
177
+
178
+ | `-- observation.images.cam_right_wrist_rgb
179
+
180
+ |-- info.yaml
181
+
182
+ `-- README.md'
183
+ splits:
184
+ train: 0:386
185
+ val: 334:376
186
+ test: 376:417
187
+ features:
188
+ action:
189
+ dtype: float32
190
+ shape:
191
+ - 26
192
+ names:
193
+ - left_arm_joint_1_rad
194
+ - left_arm_joint_2_rad
195
+ - left_arm_joint_3_rad
196
+ - left_arm_joint_4_rad
197
+ - left_arm_joint_5_rad
198
+ - left_arm_joint_6_rad
199
+ - left_eef_pos_x_m
200
+ - left_eef_pos_y_m
201
+ - left_eef_pos_z_m
202
+ - left_eef_rot_euler_x_rad
203
+ - left_eef_rot_euler_y_rad
204
+ - left_eef_rot_euler_z_rad
205
+ - left_gripper_open
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
+ - right_eef_pos_x_m
213
+ - right_eef_pos_y_m
214
+ - right_eef_pos_z_m
215
+ - right_eef_rot_euler_x_rad
216
+ - right_eef_rot_euler_y_rad
217
+ - right_eef_rot_euler_z_rad
218
+ - right_gripper_open
219
+ observation.state:
220
+ dtype: float32
221
+ shape:
222
+ - 26
223
+ names:
224
+ - left_arm_joint_1_rad
225
+ - left_arm_joint_2_rad
226
+ - left_arm_joint_3_rad
227
+ - left_arm_joint_4_rad
228
+ - left_arm_joint_5_rad
229
+ - left_arm_joint_6_rad
230
+ - left_eef_pos_x_m
231
+ - left_eef_pos_y_m
232
+ - left_eef_pos_z_m
233
+ - left_eef_rot_euler_x_rad
234
+ - left_eef_rot_euler_y_rad
235
+ - left_eef_rot_euler_z_rad
236
+ - left_gripper_open
237
+ - right_arm_joint_1_rad
238
+ - right_arm_joint_2_rad
239
+ - right_arm_joint_3_rad
240
+ - right_arm_joint_4_rad
241
+ - right_arm_joint_5_rad
242
+ - right_arm_joint_6_rad
243
+ - right_eef_pos_x_m
244
+ - right_eef_pos_y_m
245
+ - right_eef_pos_z_m
246
+ - right_eef_rot_euler_x_rad
247
+ - right_eef_rot_euler_y_rad
248
+ - right_eef_rot_euler_z_rad
249
+ - right_gripper_open
250
+ observation.images.cam_head_rgb:
251
+ dtype: video
252
+ shape:
253
+ - 480
254
+ - 640
255
+ - 3
256
+ names:
257
+ - height
258
+ - width
259
+ - channels
260
+ info:
261
+ video.fps: 30.0
262
+ video.height: 480
263
+ video.width: 640
264
+ video.channels: 3
265
+ video.codec: h264
266
+ video.pix_fmt: yuv420p
267
+ video.is_depth_map: false
268
+ has_audio: false
269
+ observation.images.cam_right_wrist_rgb:
270
+ dtype: video
271
+ shape:
272
+ - 480
273
+ - 640
274
+ - 3
275
+ names:
276
+ - height
277
+ - width
278
+ - channels
279
+ info:
280
+ video.fps: 30.0
281
+ video.height: 480
282
+ video.width: 640
283
+ video.channels: 3
284
+ video.codec: h264
285
+ video.pix_fmt: yuv420p
286
+ video.is_depth_map: false
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.fps: 30.0
300
+ video.height: 480
301
+ video.width: 640
302
+ video.channels: 3
303
+ video.codec: h264
304
+ video.pix_fmt: yuv420p
305
+ video.is_depth_map: false
306
+ has_audio: false
307
+ timestamp:
308
+ dtype: float32
309
+ shape:
310
+ - 1
311
+ names: null
312
+ frame_index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ episode_index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ task_index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ subtask_annotation:
333
+ names: null
334
+ dtype: int32
335
+ shape:
336
+ - 5
337
+ scene_annotation:
338
+ names: null
339
+ dtype: int32
340
+ shape:
341
+ - 1
342
+ eef_sim_pose_state:
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
+ dtype: float32
357
+ shape:
358
+ - 12
359
+ eef_sim_pose_action:
360
+ names:
361
+ - left_eef_pos_x
362
+ - left_eef_pos_y
363
+ - left_eef_pos_z
364
+ - left_eef_rot_x
365
+ - left_eef_rot_y
366
+ - left_eef_rot_z
367
+ - right_eef_pos_x
368
+ - right_eef_pos_y
369
+ - right_eef_pos_z
370
+ - right_eef_rot_x
371
+ - right_eef_rot_y
372
+ - right_eef_rot_z
373
+ dtype: float32
374
+ shape:
375
+ - 12
376
+ eef_direction_state:
377
+ names:
378
+ - left_eef_direction
379
+ - right_eef_direction
380
+ dtype: int32
381
+ shape:
382
+ - 2
383
+ eef_direction_action:
384
+ names:
385
+ - left_eef_direction
386
+ - right_eef_direction
387
+ dtype: int32
388
+ shape:
389
+ - 2
390
+ eef_velocity_state:
391
+ names:
392
+ - left_eef_velocity
393
+ - right_eef_velocity
394
+ dtype: int32
395
+ shape:
396
+ - 2
397
+ eef_velocity_action:
398
+ names:
399
+ - left_eef_velocity
400
+ - right_eef_velocity
401
+ dtype: int32
402
+ shape:
403
+ - 2
404
+ eef_acc_mag_state:
405
+ names:
406
+ - left_eef_acc_mag
407
+ - right_eef_acc_mag
408
+ dtype: int32
409
+ shape:
410
+ - 2
411
+ eef_acc_mag_action:
412
+ names:
413
+ - left_eef_acc_mag
414
+ - right_eef_acc_mag
415
+ dtype: int32
416
+ shape:
417
+ - 2
418
+ gripper_mode_state:
419
+ names:
420
+ - left_gripper_mode
421
+ - right_gripper_mode
422
+ dtype: int32
423
+ shape:
424
+ - 2
425
+ gripper_mode_action:
426
+ names:
427
+ - left_gripper_mode
428
+ - right_gripper_mode
429
+ dtype: int32
430
+ shape:
431
+ - 2
432
+ gripper_activity_state:
433
+ names:
434
+ - left_gripper_activity
435
+ - right_gripper_activity
436
+ dtype: int32
437
+ shape:
438
+ - 2
439
+ gripper_activity_action:
440
+ names:
441
+ - left_gripper_activity
442
+ - right_gripper_activity
443
+ dtype: int32
444
+ shape:
445
+ - 2
446
+ gripper_open_scale_state:
447
+ names:
448
+ - left_gripper_open_scale
449
+ - right_gripper_open_scale
450
+ dtype: float32
451
+ shape:
452
+ - 2
453
+ gripper_open_scale_action:
454
+ names:
455
+ - left_gripper_open_scale
456
+ - right_gripper_open_scale
457
+ dtype: float32
458
+ shape:
459
+ - 2
460
+ authors:
461
+ contributed_by:
462
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
463
+ dataset_description: This dataset uses an extended format based on LeRobot and is
464
+ fully compatible with LeRobot.
465
+ homepage: https://flagopen.github.io/RoboCOIN/
466
+ paper: https://arxiv.org/abs/2511.17441
467
+ repository: https://github.com/FlagOpen/RoboCOIN
468
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
469
+ us.
470
+ support_info: For technical support, please open an issue on our GitHub repository.
471
+ license_details: apache-2.0
472
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
473
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
474
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
475
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
476
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
477
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
478
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
479
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
480
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
481
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
482
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
483
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
484
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
485
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
486
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
487
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
488
+ additional_citations: 'If you use this dataset, please also consider citing:
489
+
490
+ LeRobot Framework: https://github.com/huggingface/lerobot
491
+
492
+ '
493
+ version_info: Initial Release
494
+ data_path: data/chunk-{id}/episode_{id}.parquet
495
+ video_path: videos/chunk-{id}/observation.images.cam_head_rgb/episode_{id}.mp{id}
496
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_towel_grey_tray.yaml ADDED
@@ -0,0 +1,490 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_towel_grey_tray
24
+ dataset_uuid: 7d892786-80a6-43e7-9959-c9a0079ecff8
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
+ - object_name: green_tray
36
+ - object_name: grey_square_towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Grasp the edge of the towel with both grippers and fold it forward. Grasp the right
41
+ edge and fold it again. Place the folded towel on the tray with a gripper. gripper
42
+ to hold the right edge and fold it again,use a gripper to place the folded towel
43
+ on the tray.
44
+ sub_tasks:
45
+ - subtask: Fold the grey towel from left to right with left gripper.
46
+ subtask_index: 0
47
+ - subtask: Place the folded grey towel on the tray with the right gripper.
48
+ subtask_index: 1
49
+ - subtask: Abnormal.
50
+ subtask_index: 2
51
+ - subtask: Fold the grey towel from right to left with right gripper.
52
+ subtask_index: 3
53
+ - subtask: Fold the grey towel upwards.
54
+ subtask_index: 4
55
+ - subtask: End.
56
+ subtask_index: 5
57
+ - subtask: Place the folded grey towel on the tray with the left gripper.
58
+ subtask_index: 6
59
+ - subtask: null.
60
+ subtask_index: 7
61
+ atomic_actions:
62
+ - grasp
63
+ - lift
64
+ - place
65
+ - fold
66
+ robot_name:
67
+ - Agilex_Cobot_Magic
68
+ end_effector_type: two_finger_end_effector
69
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
70
+ type information.
71
+ sensor_list:
72
+ - cam_head_rgb
73
+ - cam_left_wrist_rgb
74
+ - cam_right_wrist_rgb
75
+ came_info:
76
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
77
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
78
+ pix_fmt=yuv420p
79
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ depth_enabled: false
82
+ coordinate_definition: right-hand-frame
83
+ joint_rotation_dim: radian
84
+ end_translation_dim: meter
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: 50
95
+ total_frames: 53308
96
+ fps: 30
97
+ total_tasks: 8
98
+ total_videos: 150
99
+ total_chunks: 1
100
+ chunks_size: 1000
101
+ state_dim: 26
102
+ action_dim: 26
103
+ camera_views: 3
104
+ dataset_size: 724.56 MB
105
+ frame_num: 53308
106
+ frame_range: 100K
107
+ dataset_size: 724.56 MB
108
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_grey_tray_qced_hardlink/
109
+
110
+ |-- annotations
111
+
112
+ | |-- eef_acc_mag_annotation.jsonl
113
+
114
+ | |-- eef_direction_annotation.jsonl
115
+
116
+ | |-- eef_velocity_annotation.jsonl
117
+
118
+ | |-- gripper_activity_annotation.jsonl
119
+
120
+ | |-- gripper_mode_annotation.jsonl
121
+
122
+ | |-- scene_annotations.jsonl
123
+
124
+ | `-- subtask_annotations.jsonl
125
+
126
+ |-- data
127
+
128
+ | `-- chunk-000
129
+
130
+ | |-- episode_000000.parquet
131
+
132
+ | |-- episode_000001.parquet
133
+
134
+ | |-- episode_000002.parquet
135
+
136
+ | |-- episode_000003.parquet
137
+
138
+ | |-- episode_000004.parquet
139
+
140
+ | |-- episode_000005.parquet
141
+
142
+ | |-- episode_000006.parquet
143
+
144
+ | |-- episode_000007.parquet
145
+
146
+ | |-- episode_000008.parquet
147
+
148
+ | |-- episode_000009.parquet
149
+
150
+ | |-- episode_000010.parquet
151
+
152
+ | `-- episode_000011.parquet
153
+
154
+ | `-- ... (38 more entries)
155
+
156
+ |-- meta
157
+
158
+ | |-- episodes.jsonl
159
+
160
+ | |-- episodes_stats.jsonl
161
+
162
+ | |-- info.json
163
+
164
+ | `-- tasks.jsonl
165
+
166
+ |-- videos
167
+
168
+ | `-- chunk-000
169
+
170
+ | |-- observation.images.cam_head_rgb
171
+
172
+ | |-- observation.images.cam_left_wrist_rgb
173
+
174
+ | `-- observation.images.cam_right_wrist_rgb
175
+
176
+ |-- info.yaml
177
+
178
+ `-- README.md'
179
+ splits:
180
+ train: 0:49
181
+ features:
182
+ observation.images.cam_head_rgb:
183
+ dtype: video
184
+ shape:
185
+ - 480
186
+ - 640
187
+ - 3
188
+ names:
189
+ - height
190
+ - width
191
+ - channels
192
+ info:
193
+ video.height: 480
194
+ video.width: 640
195
+ video.codec: av1
196
+ video.pix_fmt: yuv420p
197
+ video.is_depth_map: false
198
+ video.fps: 30
199
+ video.channels: 3
200
+ has_audio: false
201
+ observation.images.cam_left_wrist_rgb:
202
+ dtype: video
203
+ shape:
204
+ - 480
205
+ - 640
206
+ - 3
207
+ names:
208
+ - height
209
+ - width
210
+ - channels
211
+ info:
212
+ video.height: 480
213
+ video.width: 640
214
+ video.codec: av1
215
+ video.pix_fmt: yuv420p
216
+ video.is_depth_map: false
217
+ video.fps: 30
218
+ video.channels: 3
219
+ has_audio: false
220
+ observation.images.cam_right_wrist_rgb:
221
+ dtype: video
222
+ shape:
223
+ - 480
224
+ - 640
225
+ - 3
226
+ names:
227
+ - height
228
+ - width
229
+ - channels
230
+ info:
231
+ video.height: 480
232
+ video.width: 640
233
+ video.codec: av1
234
+ video.pix_fmt: yuv420p
235
+ video.is_depth_map: false
236
+ video.fps: 30
237
+ video.channels: 3
238
+ has_audio: false
239
+ observation.state:
240
+ dtype: float32
241
+ shape:
242
+ - 26
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
+ - left_gripper_open
251
+ - left_eef_pos_x_m
252
+ - left_eef_pos_y_m
253
+ - left_eef_pos_z_m
254
+ - left_eef_rot_euler_x_rad
255
+ - left_eef_rot_euler_y_rad
256
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
264
+ - right_eef_pos_x_m
265
+ - right_eef_pos_y_m
266
+ - right_eef_pos_z_m
267
+ - right_eef_rot_euler_x_rad
268
+ - right_eef_rot_euler_y_rad
269
+ - right_eef_rot_euler_z_rad
270
+ action:
271
+ dtype: float32
272
+ shape:
273
+ - 26
274
+ names:
275
+ - left_arm_joint_1_rad
276
+ - left_arm_joint_2_rad
277
+ - left_arm_joint_3_rad
278
+ - left_arm_joint_4_rad
279
+ - left_arm_joint_5_rad
280
+ - left_arm_joint_6_rad
281
+ - left_gripper_open
282
+ - left_eef_pos_x_m
283
+ - left_eef_pos_y_m
284
+ - left_eef_pos_z_m
285
+ - left_eef_rot_euler_x_rad
286
+ - left_eef_rot_euler_y_rad
287
+ - left_eef_rot_euler_z_rad
288
+ - right_arm_joint_1_rad
289
+ - right_arm_joint_2_rad
290
+ - right_arm_joint_3_rad
291
+ - right_arm_joint_4_rad
292
+ - right_arm_joint_5_rad
293
+ - right_arm_joint_6_rad
294
+ - right_gripper_open
295
+ - right_eef_pos_x_m
296
+ - right_eef_pos_y_m
297
+ - right_eef_pos_z_m
298
+ - right_eef_rot_euler_x_rad
299
+ - right_eef_rot_euler_y_rad
300
+ - right_eef_rot_euler_z_rad
301
+ timestamp:
302
+ dtype: float32
303
+ shape:
304
+ - 1
305
+ names: null
306
+ frame_index:
307
+ dtype: int64
308
+ shape:
309
+ - 1
310
+ names: null
311
+ episode_index:
312
+ dtype: int64
313
+ shape:
314
+ - 1
315
+ names: null
316
+ index:
317
+ dtype: int64
318
+ shape:
319
+ - 1
320
+ names: null
321
+ task_index:
322
+ dtype: int64
323
+ shape:
324
+ - 1
325
+ names: null
326
+ subtask_annotation:
327
+ names: null
328
+ dtype: int32
329
+ shape:
330
+ - 5
331
+ scene_annotation:
332
+ names: null
333
+ dtype: int32
334
+ shape:
335
+ - 1
336
+ eef_sim_pose_state:
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
+ dtype: float32
351
+ shape:
352
+ - 12
353
+ eef_sim_pose_action:
354
+ names:
355
+ - left_eef_pos_x
356
+ - left_eef_pos_y
357
+ - left_eef_pos_z
358
+ - left_eef_rot_x
359
+ - left_eef_rot_y
360
+ - left_eef_rot_z
361
+ - right_eef_pos_x
362
+ - right_eef_pos_y
363
+ - right_eef_pos_z
364
+ - right_eef_rot_x
365
+ - right_eef_rot_y
366
+ - right_eef_rot_z
367
+ dtype: float32
368
+ shape:
369
+ - 12
370
+ eef_direction_state:
371
+ names:
372
+ - left_eef_direction
373
+ - right_eef_direction
374
+ dtype: int32
375
+ shape:
376
+ - 2
377
+ eef_direction_action:
378
+ names:
379
+ - left_eef_direction
380
+ - right_eef_direction
381
+ dtype: int32
382
+ shape:
383
+ - 2
384
+ eef_velocity_state:
385
+ names:
386
+ - left_eef_velocity
387
+ - right_eef_velocity
388
+ dtype: int32
389
+ shape:
390
+ - 2
391
+ eef_velocity_action:
392
+ names:
393
+ - left_eef_velocity
394
+ - right_eef_velocity
395
+ dtype: int32
396
+ shape:
397
+ - 2
398
+ eef_acc_mag_state:
399
+ names:
400
+ - left_eef_acc_mag
401
+ - right_eef_acc_mag
402
+ dtype: int32
403
+ shape:
404
+ - 2
405
+ eef_acc_mag_action:
406
+ names:
407
+ - left_eef_acc_mag
408
+ - right_eef_acc_mag
409
+ dtype: int32
410
+ shape:
411
+ - 2
412
+ gripper_mode_state:
413
+ names:
414
+ - left_gripper_mode
415
+ - right_gripper_mode
416
+ dtype: int32
417
+ shape:
418
+ - 2
419
+ gripper_mode_action:
420
+ names:
421
+ - left_gripper_mode
422
+ - right_gripper_mode
423
+ dtype: int32
424
+ shape:
425
+ - 2
426
+ gripper_activity_state:
427
+ names:
428
+ - left_gripper_activity
429
+ - right_gripper_activity
430
+ dtype: int32
431
+ shape:
432
+ - 2
433
+ gripper_activity_action:
434
+ names:
435
+ - left_gripper_activity
436
+ - right_gripper_activity
437
+ dtype: int32
438
+ shape:
439
+ - 2
440
+ gripper_open_scale_state:
441
+ names:
442
+ - left_gripper_open_scale
443
+ - right_gripper_open_scale
444
+ dtype: float32
445
+ shape:
446
+ - 2
447
+ gripper_open_scale_action:
448
+ names:
449
+ - left_gripper_open_scale
450
+ - right_gripper_open_scale
451
+ dtype: float32
452
+ shape:
453
+ - 2
454
+ authors:
455
+ contributed_by:
456
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
457
+ dataset_description: This dataset uses an extended format based on LeRobot and is
458
+ fully compatible with LeRobot.
459
+ homepage: https://flagopen.github.io/RoboCOIN/
460
+ paper: https://arxiv.org/abs/2511.17441
461
+ repository: https://github.com/FlagOpen/RoboCOIN
462
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
463
+ us.
464
+ support_info: For technical support, please open an issue on our GitHub repository.
465
+ license_details: apache-2.0
466
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
467
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
468
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
469
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
470
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
471
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
472
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
473
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
474
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
475
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
476
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
477
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
478
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
479
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
480
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
481
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
482
+ additional_citations: 'If you use this dataset, please also consider citing:
483
+
484
+ LeRobot Framework: https://github.com/huggingface/lerobot
485
+
486
+ '
487
+ version_info: Initial Release
488
+ data_path: data/chunk-{id}/episode_{id}.parquet
489
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
490
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_towel_pink_tray.yaml ADDED
@@ -0,0 +1,481 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_towel_pink_tray
24
+ dataset_uuid: 09d01c7a-32a8-4de7-b6dc-71c4f664ff81
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
+ - object_name: green_tray
36
+ - object_name: pink_square_towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Grasp the edge of the towel with both grippers and fold it forward. Grasp the right
41
+ edge and fold it again. Place the folded towel on the tray with a gripper.
42
+ sub_tasks:
43
+ - subtask: Fold the pink towel upwards.
44
+ subtask_index: 0
45
+ - subtask: End.
46
+ subtask_index: 1
47
+ - subtask: Place the folded pink towel on the tray with the left gripper.
48
+ subtask_index: 2
49
+ - subtask: Fold the pink towel from right to left with right gripper.
50
+ subtask_index: 3
51
+ - subtask: null.
52
+ subtask_index: 4
53
+ atomic_actions:
54
+ - grasp
55
+ - lift
56
+ - place
57
+ - fold
58
+ robot_name: Agilex_Cobot_Magic
59
+ end_effector_type: two_finger_end_effector
60
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
61
+ type information.
62
+ sensor_list:
63
+ - cam_head_rgb
64
+ - cam_left_wrist_rgb
65
+ - cam_right_wrist_rgb
66
+ came_info:
67
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
68
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
69
+ pix_fmt=yuv420p
70
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
71
+ pix_fmt=yuv420p
72
+ depth_enabled: false
73
+ coordinate_definition: right-hand-frame
74
+ joint_rotation_dim: radian
75
+ end_translation_dim: meter
76
+ annotations:
77
+ - eef_acc_mag_annotation.jsonl
78
+ - eef_direction_annotation.jsonl
79
+ - eef_velocity_annotation.jsonl
80
+ - gripper_activity_annotation.jsonl
81
+ - gripper_mode_annotation.jsonl
82
+ - scene_annotations.jsonl
83
+ - subtask_annotations.jsonl
84
+ statistics:
85
+ total_episodes: 50
86
+ total_frames: 63678
87
+ fps: 30
88
+ total_tasks: 5
89
+ total_videos: 150
90
+ total_chunks: 1
91
+ chunks_size: 1000
92
+ state_dim: 26
93
+ action_dim: 26
94
+ camera_views: 3
95
+ dataset_size: 766.05 MB
96
+ frame_num: 63678
97
+ frame_range: 100K
98
+ dataset_size: 766.05 MB
99
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_pink_tray_qced_hardlink/
100
+
101
+ |-- annotations
102
+
103
+ | |-- eef_acc_mag_annotation.jsonl
104
+
105
+ | |-- eef_direction_annotation.jsonl
106
+
107
+ | |-- eef_velocity_annotation.jsonl
108
+
109
+ | |-- gripper_activity_annotation.jsonl
110
+
111
+ | |-- gripper_mode_annotation.jsonl
112
+
113
+ | |-- scene_annotations.jsonl
114
+
115
+ | `-- subtask_annotations.jsonl
116
+
117
+ |-- data
118
+
119
+ | `-- chunk-000
120
+
121
+ | |-- episode_000000.parquet
122
+
123
+ | |-- episode_000001.parquet
124
+
125
+ | |-- episode_000002.parquet
126
+
127
+ | |-- episode_000003.parquet
128
+
129
+ | |-- episode_000004.parquet
130
+
131
+ | |-- episode_000005.parquet
132
+
133
+ | |-- episode_000006.parquet
134
+
135
+ | |-- episode_000007.parquet
136
+
137
+ | |-- episode_000008.parquet
138
+
139
+ | |-- episode_000009.parquet
140
+
141
+ | |-- episode_000010.parquet
142
+
143
+ | `-- episode_000011.parquet
144
+
145
+ | `-- ... (38 more entries)
146
+
147
+ |-- meta
148
+
149
+ | |-- episodes.jsonl
150
+
151
+ | |-- episodes_stats.jsonl
152
+
153
+ | |-- info.json
154
+
155
+ | `-- tasks.jsonl
156
+
157
+ |-- videos
158
+
159
+ | `-- chunk-000
160
+
161
+ | |-- observation.images.cam_head_rgb
162
+
163
+ | |-- observation.images.cam_left_wrist_rgb
164
+
165
+ | `-- observation.images.cam_right_wrist_rgb
166
+
167
+ |-- info.yaml
168
+
169
+ `-- README.md'
170
+ splits:
171
+ train: 0:49
172
+ features:
173
+ observation.images.cam_head_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_left_wrist_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.images.cam_right_wrist_rgb:
212
+ dtype: video
213
+ shape:
214
+ - 480
215
+ - 640
216
+ - 3
217
+ names:
218
+ - height
219
+ - width
220
+ - channels
221
+ info:
222
+ video.height: 480
223
+ video.width: 640
224
+ video.codec: av1
225
+ video.pix_fmt: yuv420p
226
+ video.is_depth_map: false
227
+ video.fps: 30
228
+ video.channels: 3
229
+ has_audio: false
230
+ observation.state:
231
+ dtype: float32
232
+ shape:
233
+ - 26
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
+ - left_gripper_open
242
+ - left_eef_pos_x_m
243
+ - left_eef_pos_y_m
244
+ - left_eef_pos_z_m
245
+ - left_eef_rot_euler_x_rad
246
+ - left_eef_rot_euler_y_rad
247
+ - left_eef_rot_euler_z_rad
248
+ - right_arm_joint_1_rad
249
+ - right_arm_joint_2_rad
250
+ - right_arm_joint_3_rad
251
+ - right_arm_joint_4_rad
252
+ - right_arm_joint_5_rad
253
+ - right_arm_joint_6_rad
254
+ - right_gripper_open
255
+ - right_eef_pos_x_m
256
+ - right_eef_pos_y_m
257
+ - right_eef_pos_z_m
258
+ - right_eef_rot_euler_x_rad
259
+ - right_eef_rot_euler_y_rad
260
+ - right_eef_rot_euler_z_rad
261
+ action:
262
+ dtype: float32
263
+ shape:
264
+ - 26
265
+ names:
266
+ - left_arm_joint_1_rad
267
+ - left_arm_joint_2_rad
268
+ - left_arm_joint_3_rad
269
+ - left_arm_joint_4_rad
270
+ - left_arm_joint_5_rad
271
+ - left_arm_joint_6_rad
272
+ - left_gripper_open
273
+ - left_eef_pos_x_m
274
+ - left_eef_pos_y_m
275
+ - left_eef_pos_z_m
276
+ - left_eef_rot_euler_x_rad
277
+ - left_eef_rot_euler_y_rad
278
+ - left_eef_rot_euler_z_rad
279
+ - right_arm_joint_1_rad
280
+ - right_arm_joint_2_rad
281
+ - right_arm_joint_3_rad
282
+ - right_arm_joint_4_rad
283
+ - right_arm_joint_5_rad
284
+ - right_arm_joint_6_rad
285
+ - right_gripper_open
286
+ - right_eef_pos_x_m
287
+ - right_eef_pos_y_m
288
+ - right_eef_pos_z_m
289
+ - right_eef_rot_euler_x_rad
290
+ - right_eef_rot_euler_y_rad
291
+ - right_eef_rot_euler_z_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
+ dtype: int32
320
+ shape:
321
+ - 5
322
+ scene_annotation:
323
+ names: null
324
+ dtype: int32
325
+ shape:
326
+ - 1
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
+ dtype: float32
342
+ shape:
343
+ - 12
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
+ dtype: float32
359
+ shape:
360
+ - 12
361
+ eef_direction_state:
362
+ names:
363
+ - left_eef_direction
364
+ - right_eef_direction
365
+ dtype: int32
366
+ shape:
367
+ - 2
368
+ eef_direction_action:
369
+ names:
370
+ - left_eef_direction
371
+ - right_eef_direction
372
+ dtype: int32
373
+ shape:
374
+ - 2
375
+ eef_velocity_state:
376
+ names:
377
+ - left_eef_velocity
378
+ - right_eef_velocity
379
+ dtype: int32
380
+ shape:
381
+ - 2
382
+ eef_velocity_action:
383
+ names:
384
+ - left_eef_velocity
385
+ - right_eef_velocity
386
+ dtype: int32
387
+ shape:
388
+ - 2
389
+ eef_acc_mag_state:
390
+ names:
391
+ - left_eef_acc_mag
392
+ - right_eef_acc_mag
393
+ dtype: int32
394
+ shape:
395
+ - 2
396
+ eef_acc_mag_action:
397
+ names:
398
+ - left_eef_acc_mag
399
+ - right_eef_acc_mag
400
+ dtype: int32
401
+ shape:
402
+ - 2
403
+ gripper_mode_state:
404
+ names:
405
+ - left_gripper_mode
406
+ - right_gripper_mode
407
+ dtype: int32
408
+ shape:
409
+ - 2
410
+ gripper_mode_action:
411
+ names:
412
+ - left_gripper_mode
413
+ - right_gripper_mode
414
+ dtype: int32
415
+ shape:
416
+ - 2
417
+ gripper_activity_state:
418
+ names:
419
+ - left_gripper_activity
420
+ - right_gripper_activity
421
+ dtype: int32
422
+ shape:
423
+ - 2
424
+ gripper_activity_action:
425
+ names:
426
+ - left_gripper_activity
427
+ - right_gripper_activity
428
+ dtype: int32
429
+ shape:
430
+ - 2
431
+ gripper_open_scale_state:
432
+ names:
433
+ - left_gripper_open_scale
434
+ - right_gripper_open_scale
435
+ dtype: float32
436
+ shape:
437
+ - 2
438
+ gripper_open_scale_action:
439
+ names:
440
+ - left_gripper_open_scale
441
+ - right_gripper_open_scale
442
+ dtype: float32
443
+ shape:
444
+ - 2
445
+ authors:
446
+ contributed_by:
447
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
448
+ dataset_description: This dataset uses an extended format based on LeRobot and is
449
+ fully compatible with LeRobot.
450
+ homepage: https://flagopen.github.io/RoboCOIN/
451
+ paper: https://arxiv.org/abs/2511.17441
452
+ repository: https://github.com/FlagOpen/RoboCOIN
453
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
454
+ us.
455
+ support_info: For technical support, please open an issue on our GitHub repository.
456
+ license_details: apache-2.0
457
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
458
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
459
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
460
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
461
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
462
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
463
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
464
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
465
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
466
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
467
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
468
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
469
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
470
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
471
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
472
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
473
+ additional_citations: 'If you use this dataset, please also consider citing:
474
+
475
+ LeRobot Framework: https://github.com/huggingface/lerobot
476
+
477
+ '
478
+ version_info: Initial Release
479
+ data_path: data/chunk-{id}/episode_{id}.parquet
480
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
481
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_towel_purple.yaml ADDED
@@ -0,0 +1,496 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_towel_purple
24
+ dataset_uuid: 22417619-aae5-4c2d-b18b-d07990f5fcac
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
+ - object_name: basket
36
+ - object_name: towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the towel on the table three times with the grippers.
41
+ sub_tasks:
42
+ - subtask: 'Right gripper: spread the purple towel flat on the table.'
43
+ subtask_index: 0
44
+ - subtask: 'Left gripper: fold the purple towel up.'
45
+ subtask_index: 1
46
+ - subtask: 'Right gripper: fold the purple towel up.'
47
+ subtask_index: 2
48
+ - subtask: 'Left gripper: fold the purple towel from left to right.'
49
+ subtask_index: 3
50
+ - subtask: 'Left gripper: adjust the purple towel.'
51
+ subtask_index: 4
52
+ - subtask: End.
53
+ subtask_index: 5
54
+ - subtask: 'Left gripper: spread the purple towel flat on the table.'
55
+ subtask_index: 6
56
+ - subtask: 'Right gripper: pick up the bottom right corner of purple towel.'
57
+ subtask_index: 7
58
+ - subtask: 'Right gripper: adjust the purple towel.'
59
+ subtask_index: 8
60
+ - subtask: 'Left gripper: pick up the bottom left corner of purple towel.'
61
+ subtask_index: 9
62
+ - subtask: null.
63
+ subtask_index: 10
64
+ atomic_actions:
65
+ - grasp
66
+ - unfold
67
+ - fold
68
+ - pick
69
+ - place
70
+ robot_name:
71
+ - Agilex_Cobot_Magic
72
+ end_effector_type: two_finger_end_effector
73
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
74
+ type information.
75
+ sensor_list:
76
+ - cam_head_rgb
77
+ - cam_right_wrist_rgb
78
+ - cam_left_wrist_rgb
79
+ came_info:
80
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264, pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
82
+ pix_fmt=yuv420p
83
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
84
+ pix_fmt=yuv420p
85
+ depth_enabled: false
86
+ coordinate_definition: right-hand-frame
87
+ joint_rotation_dim: radian
88
+ end_translation_dim: meter
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: 175
99
+ total_frames: 111222
100
+ fps: 30
101
+ total_tasks: 11
102
+ total_videos: 525
103
+ total_chunks: 1
104
+ chunks_size: 10000
105
+ state_dim: 26
106
+ action_dim: 26
107
+ camera_views: 3
108
+ dataset_size: 7.28 GB
109
+ frame_num: 111222
110
+ frame_range: 1M
111
+ dataset_size: 7.28 GB
112
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_purple_qced_hardlink/
113
+
114
+ |-- annotations
115
+
116
+ | |-- eef_acc_mag_annotation.jsonl
117
+
118
+ | |-- eef_direction_annotation.jsonl
119
+
120
+ | |-- eef_velocity_annotation.jsonl
121
+
122
+ | |-- gripper_activity_annotation.jsonl
123
+
124
+ | |-- gripper_mode_annotation.jsonl
125
+
126
+ | |-- scene_annotations.jsonl
127
+
128
+ | `-- subtask_annotations.jsonl
129
+
130
+ |-- data
131
+
132
+ | `-- chunk-000
133
+
134
+ | |-- episode_000000.parquet
135
+
136
+ | |-- episode_000001.parquet
137
+
138
+ | |-- episode_000002.parquet
139
+
140
+ | |-- episode_000003.parquet
141
+
142
+ | |-- episode_000004.parquet
143
+
144
+ | |-- episode_000005.parquet
145
+
146
+ | |-- episode_000006.parquet
147
+
148
+ | |-- episode_000007.parquet
149
+
150
+ | |-- episode_000008.parquet
151
+
152
+ | |-- episode_000009.parquet
153
+
154
+ | |-- episode_000010.parquet
155
+
156
+ | `-- episode_000011.parquet
157
+
158
+ | `-- ... (163 more entries)
159
+
160
+ |-- meta
161
+
162
+ | |-- episodes.jsonl
163
+
164
+ | |-- episodes_stats.jsonl
165
+
166
+ | |-- info.json
167
+
168
+ | `-- tasks.jsonl
169
+
170
+ |-- videos
171
+
172
+ | `-- chunk-000
173
+
174
+ | |-- observation.images.cam_head_rgb
175
+
176
+ | |-- observation.images.cam_left_wrist_rgb
177
+
178
+ | `-- observation.images.cam_right_wrist_rgb
179
+
180
+ |-- info.yaml
181
+
182
+ `-- README.md'
183
+ splits:
184
+ train: 0:174
185
+ val: 175:197
186
+ test: 197:219
187
+ features:
188
+ action:
189
+ dtype: float32
190
+ shape:
191
+ - 26
192
+ names:
193
+ - left_arm_joint_1_rad
194
+ - left_arm_joint_2_rad
195
+ - left_arm_joint_3_rad
196
+ - left_arm_joint_4_rad
197
+ - left_arm_joint_5_rad
198
+ - left_arm_joint_6_rad
199
+ - left_eef_pos_x_m
200
+ - left_eef_pos_y_m
201
+ - left_eef_pos_z_m
202
+ - left_eef_rot_euler_x_rad
203
+ - left_eef_rot_euler_y_rad
204
+ - left_eef_rot_euler_z_rad
205
+ - left_gripper_open
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
+ - right_eef_pos_x_m
213
+ - right_eef_pos_y_m
214
+ - right_eef_pos_z_m
215
+ - right_eef_rot_euler_x_rad
216
+ - right_eef_rot_euler_y_rad
217
+ - right_eef_rot_euler_z_rad
218
+ - right_gripper_open
219
+ observation.state:
220
+ dtype: float32
221
+ shape:
222
+ - 26
223
+ names:
224
+ - left_arm_joint_1_rad
225
+ - left_arm_joint_2_rad
226
+ - left_arm_joint_3_rad
227
+ - left_arm_joint_4_rad
228
+ - left_arm_joint_5_rad
229
+ - left_arm_joint_6_rad
230
+ - left_eef_pos_x_m
231
+ - left_eef_pos_y_m
232
+ - left_eef_pos_z_m
233
+ - left_eef_rot_euler_x_rad
234
+ - left_eef_rot_euler_y_rad
235
+ - left_eef_rot_euler_z_rad
236
+ - left_gripper_open
237
+ - right_arm_joint_1_rad
238
+ - right_arm_joint_2_rad
239
+ - right_arm_joint_3_rad
240
+ - right_arm_joint_4_rad
241
+ - right_arm_joint_5_rad
242
+ - right_arm_joint_6_rad
243
+ - right_eef_pos_x_m
244
+ - right_eef_pos_y_m
245
+ - right_eef_pos_z_m
246
+ - right_eef_rot_euler_x_rad
247
+ - right_eef_rot_euler_y_rad
248
+ - right_eef_rot_euler_z_rad
249
+ - right_gripper_open
250
+ observation.images.cam_head_rgb:
251
+ dtype: video
252
+ shape:
253
+ - 480
254
+ - 640
255
+ - 3
256
+ names:
257
+ - height
258
+ - width
259
+ - channels
260
+ info:
261
+ video.fps: 30.0
262
+ video.height: 480
263
+ video.width: 640
264
+ video.channels: 3
265
+ video.codec: h264
266
+ video.pix_fmt: yuv420p
267
+ video.is_depth_map: false
268
+ has_audio: false
269
+ observation.images.cam_right_wrist_rgb:
270
+ dtype: video
271
+ shape:
272
+ - 480
273
+ - 640
274
+ - 3
275
+ names:
276
+ - height
277
+ - width
278
+ - channels
279
+ info:
280
+ video.fps: 30.0
281
+ video.height: 480
282
+ video.width: 640
283
+ video.channels: 3
284
+ video.codec: h264
285
+ video.pix_fmt: yuv420p
286
+ video.is_depth_map: false
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.fps: 30.0
300
+ video.height: 480
301
+ video.width: 640
302
+ video.channels: 3
303
+ video.codec: h264
304
+ video.pix_fmt: yuv420p
305
+ video.is_depth_map: false
306
+ has_audio: false
307
+ timestamp:
308
+ dtype: float32
309
+ shape:
310
+ - 1
311
+ names: null
312
+ frame_index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ episode_index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ task_index:
328
+ dtype: int64
329
+ shape:
330
+ - 1
331
+ names: null
332
+ subtask_annotation:
333
+ names: null
334
+ dtype: int32
335
+ shape:
336
+ - 5
337
+ scene_annotation:
338
+ names: null
339
+ dtype: int32
340
+ shape:
341
+ - 1
342
+ eef_sim_pose_state:
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
+ dtype: float32
357
+ shape:
358
+ - 12
359
+ eef_sim_pose_action:
360
+ names:
361
+ - left_eef_pos_x
362
+ - left_eef_pos_y
363
+ - left_eef_pos_z
364
+ - left_eef_rot_x
365
+ - left_eef_rot_y
366
+ - left_eef_rot_z
367
+ - right_eef_pos_x
368
+ - right_eef_pos_y
369
+ - right_eef_pos_z
370
+ - right_eef_rot_x
371
+ - right_eef_rot_y
372
+ - right_eef_rot_z
373
+ dtype: float32
374
+ shape:
375
+ - 12
376
+ eef_direction_state:
377
+ names:
378
+ - left_eef_direction
379
+ - right_eef_direction
380
+ dtype: int32
381
+ shape:
382
+ - 2
383
+ eef_direction_action:
384
+ names:
385
+ - left_eef_direction
386
+ - right_eef_direction
387
+ dtype: int32
388
+ shape:
389
+ - 2
390
+ eef_velocity_state:
391
+ names:
392
+ - left_eef_velocity
393
+ - right_eef_velocity
394
+ dtype: int32
395
+ shape:
396
+ - 2
397
+ eef_velocity_action:
398
+ names:
399
+ - left_eef_velocity
400
+ - right_eef_velocity
401
+ dtype: int32
402
+ shape:
403
+ - 2
404
+ eef_acc_mag_state:
405
+ names:
406
+ - left_eef_acc_mag
407
+ - right_eef_acc_mag
408
+ dtype: int32
409
+ shape:
410
+ - 2
411
+ eef_acc_mag_action:
412
+ names:
413
+ - left_eef_acc_mag
414
+ - right_eef_acc_mag
415
+ dtype: int32
416
+ shape:
417
+ - 2
418
+ gripper_mode_state:
419
+ names:
420
+ - left_gripper_mode
421
+ - right_gripper_mode
422
+ dtype: int32
423
+ shape:
424
+ - 2
425
+ gripper_mode_action:
426
+ names:
427
+ - left_gripper_mode
428
+ - right_gripper_mode
429
+ dtype: int32
430
+ shape:
431
+ - 2
432
+ gripper_activity_state:
433
+ names:
434
+ - left_gripper_activity
435
+ - right_gripper_activity
436
+ dtype: int32
437
+ shape:
438
+ - 2
439
+ gripper_activity_action:
440
+ names:
441
+ - left_gripper_activity
442
+ - right_gripper_activity
443
+ dtype: int32
444
+ shape:
445
+ - 2
446
+ gripper_open_scale_state:
447
+ names:
448
+ - left_gripper_open_scale
449
+ - right_gripper_open_scale
450
+ dtype: float32
451
+ shape:
452
+ - 2
453
+ gripper_open_scale_action:
454
+ names:
455
+ - left_gripper_open_scale
456
+ - right_gripper_open_scale
457
+ dtype: float32
458
+ shape:
459
+ - 2
460
+ authors:
461
+ contributed_by:
462
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
463
+ dataset_description: This dataset uses an extended format based on LeRobot and is
464
+ fully compatible with LeRobot.
465
+ homepage: https://flagopen.github.io/RoboCOIN/
466
+ paper: https://arxiv.org/abs/2511.17441
467
+ repository: https://github.com/FlagOpen/RoboCOIN
468
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
469
+ us.
470
+ support_info: For technical support, please open an issue on our GitHub repository.
471
+ license_details: apache-2.0
472
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
473
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
474
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
475
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
476
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
477
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
478
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
479
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
480
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
481
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
482
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
483
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
484
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
485
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
486
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
487
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
488
+ additional_citations: 'If you use this dataset, please also consider citing:
489
+
490
+ LeRobot Framework: https://github.com/huggingface/lerobot
491
+
492
+ '
493
+ version_info: Initial Release
494
+ data_path: data/chunk-{id}/episode_{id}.parquet
495
+ video_path: videos/chunk-{id}/observation.images.cam_head_rgb/episode_{id}.mp{id}
496
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_towel_tray_twice.yaml ADDED
@@ -0,0 +1,509 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_towel_tray_twice
24
+ dataset_uuid: d4e9a4ab-1a29-4636-9bb8-1f5183e429d2
25
+ scene_type:
26
+ level1: office
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: white_tray
35
+ - object_name: white_long_towel
36
+ - object_name: pink_long_towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold one towel by two grippers and place it on the tray with the grippers. Then
41
+ fold another towel by two grippers and place it on the folded towel with the grippers.
42
+ sub_tasks:
43
+ - subtask: Grasp the pink towel with the right gripper.
44
+ subtask_index: 0
45
+ - subtask: Press the pink towel with the left gripper.
46
+ subtask_index: 1
47
+ - subtask: End.
48
+ subtask_index: 2
49
+ - subtask: Fold the pink towel from right to left with right gripper.
50
+ subtask_index: 3
51
+ - subtask: Place the pink towel on the white towel with the right gripper.
52
+ subtask_index: 4
53
+ - subtask: Grasp the white towel with the left gripper.
54
+ subtask_index: 5
55
+ - subtask: Move the pink towel to the plate with the right gripper.
56
+ subtask_index: 6
57
+ - subtask: Abnormal.
58
+ subtask_index: 7
59
+ - subtask: Press the white towel with the left gripper.
60
+ subtask_index: 8
61
+ - subtask: Move the white towel to the plate with the right gripper.
62
+ subtask_index: 9
63
+ - subtask: Grasp the white towel with the right gripper.
64
+ subtask_index: 10
65
+ - subtask: Fold the pink towel upwards with the left gripper.
66
+ subtask_index: 11
67
+ - subtask: Grasp the pink towel with the left gripper.
68
+ subtask_index: 12
69
+ - subtask: Place the white towel on the pink towel with the left gripper.
70
+ subtask_index: 13
71
+ - subtask: Fold the pink towel upwards with the right gripper.
72
+ subtask_index: 14
73
+ - subtask: Fold the white towel upwards with the right gripper.
74
+ subtask_index: 15
75
+ - subtask: Place the white towel on the pink towel with the right gripper.
76
+ subtask_index: 16
77
+ - subtask: Fold the white towel upwards with the left gripper.
78
+ subtask_index: 17
79
+ - subtask: Fold the white towel from right to left with right gripper.
80
+ subtask_index: 18
81
+ - subtask: null.
82
+ subtask_index: 19
83
+ atomic_actions:
84
+ - grasp
85
+ - fold
86
+ robot_name: Agilex_Cobot_Magic
87
+ end_effector_type: two_finger_end_effector
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
+ came_info:
95
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
96
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
97
+ pix_fmt=yuv420p
98
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
99
+ pix_fmt=yuv420p
100
+ depth_enabled: false
101
+ coordinate_definition: right-hand-frame
102
+ joint_rotation_dim: radian
103
+ end_translation_dim: meter
104
+ annotations:
105
+ - eef_acc_mag_annotation.jsonl
106
+ - eef_direction_annotation.jsonl
107
+ - eef_velocity_annotation.jsonl
108
+ - gripper_activity_annotation.jsonl
109
+ - gripper_mode_annotation.jsonl
110
+ - scene_annotations.jsonl
111
+ - subtask_annotations.jsonl
112
+ statistics:
113
+ total_episodes: 195
114
+ total_frames: 305054
115
+ fps: 30
116
+ total_tasks: 20
117
+ total_videos: 585
118
+ total_chunks: 1
119
+ chunks_size: 1000
120
+ state_dim: 26
121
+ action_dim: 26
122
+ camera_views: 3
123
+ dataset_size: 3.54 GB
124
+ frame_num: 305054
125
+ frame_range: 1M
126
+ dataset_size: 3.54 GB
127
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_tray_twice_qced_hardlink/
128
+
129
+ |-- annotations
130
+
131
+ | |-- eef_acc_mag_annotation.jsonl
132
+
133
+ | |-- eef_direction_annotation.jsonl
134
+
135
+ | |-- eef_velocity_annotation.jsonl
136
+
137
+ | |-- gripper_activity_annotation.jsonl
138
+
139
+ | |-- gripper_mode_annotation.jsonl
140
+
141
+ | |-- scene_annotations.jsonl
142
+
143
+ | `-- subtask_annotations.jsonl
144
+
145
+ |-- data
146
+
147
+ | `-- chunk-000
148
+
149
+ | |-- episode_000000.parquet
150
+
151
+ | |-- episode_000001.parquet
152
+
153
+ | |-- episode_000002.parquet
154
+
155
+ | |-- episode_000003.parquet
156
+
157
+ | |-- episode_000004.parquet
158
+
159
+ | |-- episode_000005.parquet
160
+
161
+ | |-- episode_000006.parquet
162
+
163
+ | |-- episode_000007.parquet
164
+
165
+ | |-- episode_000008.parquet
166
+
167
+ | |-- episode_000009.parquet
168
+
169
+ | |-- episode_000010.parquet
170
+
171
+ | `-- episode_000011.parquet
172
+
173
+ | `-- ... (183 more entries)
174
+
175
+ |-- meta
176
+
177
+ | |-- episodes.jsonl
178
+
179
+ | |-- episodes_stats.jsonl
180
+
181
+ | |-- info.json
182
+
183
+ | `-- tasks.jsonl
184
+
185
+ |-- videos
186
+
187
+ | `-- chunk-000
188
+
189
+ | |-- observation.images.cam_head_rgb
190
+
191
+ | |-- observation.images.cam_left_wrist_rgb
192
+
193
+ | `-- observation.images.cam_right_wrist_rgb
194
+
195
+ |-- info.yaml
196
+
197
+ `-- README.md'
198
+ splits:
199
+ train: 0:194
200
+ features:
201
+ observation.images.cam_head_rgb:
202
+ dtype: video
203
+ shape:
204
+ - 480
205
+ - 640
206
+ - 3
207
+ names:
208
+ - height
209
+ - width
210
+ - channels
211
+ info:
212
+ video.height: 480
213
+ video.width: 640
214
+ video.codec: av1
215
+ video.pix_fmt: yuv420p
216
+ video.is_depth_map: false
217
+ video.fps: 30
218
+ video.channels: 3
219
+ has_audio: false
220
+ observation.images.cam_left_wrist_rgb:
221
+ dtype: video
222
+ shape:
223
+ - 480
224
+ - 640
225
+ - 3
226
+ names:
227
+ - height
228
+ - width
229
+ - channels
230
+ info:
231
+ video.height: 480
232
+ video.width: 640
233
+ video.codec: av1
234
+ video.pix_fmt: yuv420p
235
+ video.is_depth_map: false
236
+ video.fps: 30
237
+ video.channels: 3
238
+ has_audio: false
239
+ observation.images.cam_right_wrist_rgb:
240
+ dtype: video
241
+ shape:
242
+ - 480
243
+ - 640
244
+ - 3
245
+ names:
246
+ - height
247
+ - width
248
+ - channels
249
+ info:
250
+ video.height: 480
251
+ video.width: 640
252
+ video.codec: av1
253
+ video.pix_fmt: yuv420p
254
+ video.is_depth_map: false
255
+ video.fps: 30
256
+ video.channels: 3
257
+ has_audio: false
258
+ observation.state:
259
+ dtype: float32
260
+ shape:
261
+ - 26
262
+ names:
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_gripper_open
270
+ - left_eef_pos_x_m
271
+ - left_eef_pos_y_m
272
+ - left_eef_pos_z_m
273
+ - left_eef_rot_euler_x_rad
274
+ - left_eef_rot_euler_y_rad
275
+ - left_eef_rot_euler_z_rad
276
+ - right_arm_joint_1_rad
277
+ - right_arm_joint_2_rad
278
+ - right_arm_joint_3_rad
279
+ - right_arm_joint_4_rad
280
+ - right_arm_joint_5_rad
281
+ - right_arm_joint_6_rad
282
+ - right_gripper_open
283
+ - right_eef_pos_x_m
284
+ - right_eef_pos_y_m
285
+ - right_eef_pos_z_m
286
+ - right_eef_rot_euler_x_rad
287
+ - right_eef_rot_euler_y_rad
288
+ - right_eef_rot_euler_z_rad
289
+ action:
290
+ dtype: float32
291
+ shape:
292
+ - 26
293
+ names:
294
+ - left_arm_joint_1_rad
295
+ - left_arm_joint_2_rad
296
+ - left_arm_joint_3_rad
297
+ - left_arm_joint_4_rad
298
+ - left_arm_joint_5_rad
299
+ - left_arm_joint_6_rad
300
+ - left_gripper_open
301
+ - left_eef_pos_x_m
302
+ - left_eef_pos_y_m
303
+ - left_eef_pos_z_m
304
+ - left_eef_rot_euler_x_rad
305
+ - left_eef_rot_euler_y_rad
306
+ - left_eef_rot_euler_z_rad
307
+ - right_arm_joint_1_rad
308
+ - right_arm_joint_2_rad
309
+ - right_arm_joint_3_rad
310
+ - right_arm_joint_4_rad
311
+ - right_arm_joint_5_rad
312
+ - right_arm_joint_6_rad
313
+ - right_gripper_open
314
+ - right_eef_pos_x_m
315
+ - right_eef_pos_y_m
316
+ - right_eef_pos_z_m
317
+ - right_eef_rot_euler_x_rad
318
+ - right_eef_rot_euler_y_rad
319
+ - right_eef_rot_euler_z_rad
320
+ timestamp:
321
+ dtype: float32
322
+ shape:
323
+ - 1
324
+ names: null
325
+ frame_index:
326
+ dtype: int64
327
+ shape:
328
+ - 1
329
+ names: null
330
+ episode_index:
331
+ dtype: int64
332
+ shape:
333
+ - 1
334
+ names: null
335
+ index:
336
+ dtype: int64
337
+ shape:
338
+ - 1
339
+ names: null
340
+ task_index:
341
+ dtype: int64
342
+ shape:
343
+ - 1
344
+ names: null
345
+ subtask_annotation:
346
+ names: null
347
+ dtype: int32
348
+ shape:
349
+ - 5
350
+ scene_annotation:
351
+ names: null
352
+ dtype: int32
353
+ shape:
354
+ - 1
355
+ eef_sim_pose_state:
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
+ dtype: float32
370
+ shape:
371
+ - 12
372
+ eef_sim_pose_action:
373
+ names:
374
+ - left_eef_pos_x
375
+ - left_eef_pos_y
376
+ - left_eef_pos_z
377
+ - left_eef_rot_x
378
+ - left_eef_rot_y
379
+ - left_eef_rot_z
380
+ - right_eef_pos_x
381
+ - right_eef_pos_y
382
+ - right_eef_pos_z
383
+ - right_eef_rot_x
384
+ - right_eef_rot_y
385
+ - right_eef_rot_z
386
+ dtype: float32
387
+ shape:
388
+ - 12
389
+ eef_direction_state:
390
+ names:
391
+ - left_eef_direction
392
+ - right_eef_direction
393
+ dtype: int32
394
+ shape:
395
+ - 2
396
+ eef_direction_action:
397
+ names:
398
+ - left_eef_direction
399
+ - right_eef_direction
400
+ dtype: int32
401
+ shape:
402
+ - 2
403
+ eef_velocity_state:
404
+ names:
405
+ - left_eef_velocity
406
+ - right_eef_velocity
407
+ dtype: int32
408
+ shape:
409
+ - 2
410
+ eef_velocity_action:
411
+ names:
412
+ - left_eef_velocity
413
+ - right_eef_velocity
414
+ dtype: int32
415
+ shape:
416
+ - 2
417
+ eef_acc_mag_state:
418
+ names:
419
+ - left_eef_acc_mag
420
+ - right_eef_acc_mag
421
+ dtype: int32
422
+ shape:
423
+ - 2
424
+ eef_acc_mag_action:
425
+ names:
426
+ - left_eef_acc_mag
427
+ - right_eef_acc_mag
428
+ dtype: int32
429
+ shape:
430
+ - 2
431
+ gripper_mode_state:
432
+ names:
433
+ - left_gripper_mode
434
+ - right_gripper_mode
435
+ dtype: int32
436
+ shape:
437
+ - 2
438
+ gripper_mode_action:
439
+ names:
440
+ - left_gripper_mode
441
+ - right_gripper_mode
442
+ dtype: int32
443
+ shape:
444
+ - 2
445
+ gripper_activity_state:
446
+ names:
447
+ - left_gripper_activity
448
+ - right_gripper_activity
449
+ dtype: int32
450
+ shape:
451
+ - 2
452
+ gripper_activity_action:
453
+ names:
454
+ - left_gripper_activity
455
+ - right_gripper_activity
456
+ dtype: int32
457
+ shape:
458
+ - 2
459
+ gripper_open_scale_state:
460
+ names:
461
+ - left_gripper_open_scale
462
+ - right_gripper_open_scale
463
+ dtype: float32
464
+ shape:
465
+ - 2
466
+ gripper_open_scale_action:
467
+ names:
468
+ - left_gripper_open_scale
469
+ - right_gripper_open_scale
470
+ dtype: float32
471
+ shape:
472
+ - 2
473
+ authors:
474
+ contributed_by:
475
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
476
+ dataset_description: This dataset uses an extended format based on LeRobot and is
477
+ fully compatible with LeRobot.
478
+ homepage: https://flagopen.github.io/RoboCOIN/
479
+ paper: https://arxiv.org/abs/2511.17441
480
+ repository: https://github.com/FlagOpen/RoboCOIN
481
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
482
+ us.
483
+ support_info: For technical support, please open an issue on our GitHub repository.
484
+ license_details: apache-2.0
485
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
486
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
487
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
488
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
489
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
490
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
491
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
492
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
493
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
494
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
495
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
496
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
497
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
498
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
499
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
500
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
501
+ additional_citations: 'If you use this dataset, please also consider citing:
502
+
503
+ LeRobot Framework: https://github.com/huggingface/lerobot
504
+
505
+ '
506
+ version_info: Initial Release
507
+ data_path: data/chunk-{id}/episode_{id}.parquet
508
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
509
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_towel_yellow_tray.yaml ADDED
@@ -0,0 +1,487 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_towel_yellow_tray
24
+ dataset_uuid: 2fa41899-f076-44f9-8096-de77fbd0858a
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
+ - object_name: green_tray
36
+ - object_name: yellow_square_towel
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Grasp the edge of the towel with both grippers and fold it forward. Grasp the right
41
+ edge and fold it again. Place the folded towel on the tray with a gripper.
42
+ sub_tasks:
43
+ - subtask: Abnormal.
44
+ subtask_index: 0
45
+ - subtask: Fold the yellow towel upwards.
46
+ subtask_index: 1
47
+ - subtask: End.
48
+ subtask_index: 2
49
+ - subtask: Fold the yellow towel from right to left with right gripper.
50
+ subtask_index: 3
51
+ - subtask: Fold the yellow towel from left to right with left gripper.
52
+ subtask_index: 4
53
+ - subtask: Place the folded yellow towel on the tray with the left gripper.
54
+ subtask_index: 5
55
+ - subtask: Place the folded yellow towel on the tray with the right gripper.
56
+ subtask_index: 6
57
+ - subtask: null.
58
+ subtask_index: 7
59
+ atomic_actions:
60
+ - grasp
61
+ - lift
62
+ - place
63
+ - fold
64
+ robot_name: Agilex_Cobot_Magic
65
+ end_effector_type: two_finger_end_effector
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
+ 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
+ depth_enabled: false
79
+ coordinate_definition: right-hand-frame
80
+ joint_rotation_dim: radian
81
+ end_translation_dim: meter
82
+ annotations:
83
+ - eef_acc_mag_annotation.jsonl
84
+ - eef_direction_annotation.jsonl
85
+ - eef_velocity_annotation.jsonl
86
+ - gripper_activity_annotation.jsonl
87
+ - gripper_mode_annotation.jsonl
88
+ - scene_annotations.jsonl
89
+ - subtask_annotations.jsonl
90
+ statistics:
91
+ total_episodes: 49
92
+ total_frames: 48960
93
+ fps: 30
94
+ total_tasks: 8
95
+ total_videos: 147
96
+ total_chunks: 1
97
+ chunks_size: 1000
98
+ state_dim: 26
99
+ action_dim: 26
100
+ camera_views: 3
101
+ dataset_size: 552.42 MB
102
+ frame_num: 48960
103
+ frame_range: 100K
104
+ dataset_size: 552.42 MB
105
+ data_structure: 'Agilex_Cobot_Magic_fold_towel_yellow_tray_qced_hardlink/
106
+
107
+ |-- annotations
108
+
109
+ | |-- eef_acc_mag_annotation.jsonl
110
+
111
+ | |-- eef_direction_annotation.jsonl
112
+
113
+ | |-- eef_velocity_annotation.jsonl
114
+
115
+ | |-- gripper_activity_annotation.jsonl
116
+
117
+ | |-- gripper_mode_annotation.jsonl
118
+
119
+ | |-- scene_annotations.jsonl
120
+
121
+ | `-- subtask_annotations.jsonl
122
+
123
+ |-- data
124
+
125
+ | `-- chunk-000
126
+
127
+ | |-- episode_000000.parquet
128
+
129
+ | |-- episode_000001.parquet
130
+
131
+ | |-- episode_000002.parquet
132
+
133
+ | |-- episode_000003.parquet
134
+
135
+ | |-- episode_000004.parquet
136
+
137
+ | |-- episode_000005.parquet
138
+
139
+ | |-- episode_000006.parquet
140
+
141
+ | |-- episode_000007.parquet
142
+
143
+ | |-- episode_000008.parquet
144
+
145
+ | |-- episode_000009.parquet
146
+
147
+ | |-- episode_000010.parquet
148
+
149
+ | `-- episode_000011.parquet
150
+
151
+ | `-- ... (37 more entries)
152
+
153
+ |-- meta
154
+
155
+ | |-- episodes.jsonl
156
+
157
+ | |-- episodes_stats.jsonl
158
+
159
+ | |-- info.json
160
+
161
+ | `-- tasks.jsonl
162
+
163
+ |-- videos
164
+
165
+ | `-- chunk-000
166
+
167
+ | |-- observation.images.cam_head_rgb
168
+
169
+ | |-- observation.images.cam_left_wrist_rgb
170
+
171
+ | `-- observation.images.cam_right_wrist_rgb
172
+
173
+ |-- info.yaml
174
+
175
+ `-- README.md'
176
+ splits:
177
+ train: 0:48
178
+ features:
179
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
199
+ dtype: video
200
+ shape:
201
+ - 480
202
+ - 640
203
+ - 3
204
+ names:
205
+ - height
206
+ - width
207
+ - channels
208
+ info:
209
+ video.height: 480
210
+ video.width: 640
211
+ video.codec: av1
212
+ video.pix_fmt: yuv420p
213
+ video.is_depth_map: false
214
+ video.fps: 30
215
+ video.channels: 3
216
+ has_audio: false
217
+ observation.images.cam_right_wrist_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 480
221
+ - 640
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 480
229
+ video.width: 640
230
+ video.codec: av1
231
+ video.pix_fmt: yuv420p
232
+ video.is_depth_map: false
233
+ video.fps: 30
234
+ video.channels: 3
235
+ has_audio: false
236
+ observation.state:
237
+ dtype: float32
238
+ shape:
239
+ - 26
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
+ - left_gripper_open
248
+ - left_eef_pos_x_m
249
+ - left_eef_pos_y_m
250
+ - left_eef_pos_z_m
251
+ - left_eef_rot_euler_x_rad
252
+ - left_eef_rot_euler_y_rad
253
+ - left_eef_rot_euler_z_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
+ - right_gripper_open
261
+ - right_eef_pos_x_m
262
+ - right_eef_pos_y_m
263
+ - right_eef_pos_z_m
264
+ - right_eef_rot_euler_x_rad
265
+ - right_eef_rot_euler_y_rad
266
+ - right_eef_rot_euler_z_rad
267
+ action:
268
+ dtype: float32
269
+ shape:
270
+ - 26
271
+ names:
272
+ - left_arm_joint_1_rad
273
+ - left_arm_joint_2_rad
274
+ - left_arm_joint_3_rad
275
+ - left_arm_joint_4_rad
276
+ - left_arm_joint_5_rad
277
+ - left_arm_joint_6_rad
278
+ - left_gripper_open
279
+ - left_eef_pos_x_m
280
+ - left_eef_pos_y_m
281
+ - left_eef_pos_z_m
282
+ - left_eef_rot_euler_x_rad
283
+ - left_eef_rot_euler_y_rad
284
+ - left_eef_rot_euler_z_rad
285
+ - right_arm_joint_1_rad
286
+ - right_arm_joint_2_rad
287
+ - right_arm_joint_3_rad
288
+ - right_arm_joint_4_rad
289
+ - right_arm_joint_5_rad
290
+ - right_arm_joint_6_rad
291
+ - right_gripper_open
292
+ - right_eef_pos_x_m
293
+ - right_eef_pos_y_m
294
+ - right_eef_pos_z_m
295
+ - right_eef_rot_euler_x_rad
296
+ - right_eef_rot_euler_y_rad
297
+ - right_eef_rot_euler_z_rad
298
+ 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
+ dtype: int32
326
+ shape:
327
+ - 5
328
+ scene_annotation:
329
+ names: null
330
+ dtype: int32
331
+ shape:
332
+ - 1
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
+ dtype: float32
348
+ shape:
349
+ - 12
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
+ dtype: float32
365
+ shape:
366
+ - 12
367
+ eef_direction_state:
368
+ names:
369
+ - left_eef_direction
370
+ - right_eef_direction
371
+ dtype: int32
372
+ shape:
373
+ - 2
374
+ eef_direction_action:
375
+ names:
376
+ - left_eef_direction
377
+ - right_eef_direction
378
+ dtype: int32
379
+ shape:
380
+ - 2
381
+ eef_velocity_state:
382
+ names:
383
+ - left_eef_velocity
384
+ - right_eef_velocity
385
+ dtype: int32
386
+ shape:
387
+ - 2
388
+ eef_velocity_action:
389
+ names:
390
+ - left_eef_velocity
391
+ - right_eef_velocity
392
+ dtype: int32
393
+ shape:
394
+ - 2
395
+ eef_acc_mag_state:
396
+ names:
397
+ - left_eef_acc_mag
398
+ - right_eef_acc_mag
399
+ dtype: int32
400
+ shape:
401
+ - 2
402
+ eef_acc_mag_action:
403
+ names:
404
+ - left_eef_acc_mag
405
+ - right_eef_acc_mag
406
+ dtype: int32
407
+ shape:
408
+ - 2
409
+ gripper_mode_state:
410
+ names:
411
+ - left_gripper_mode
412
+ - right_gripper_mode
413
+ dtype: int32
414
+ shape:
415
+ - 2
416
+ gripper_mode_action:
417
+ names:
418
+ - left_gripper_mode
419
+ - right_gripper_mode
420
+ dtype: int32
421
+ shape:
422
+ - 2
423
+ gripper_activity_state:
424
+ names:
425
+ - left_gripper_activity
426
+ - right_gripper_activity
427
+ dtype: int32
428
+ shape:
429
+ - 2
430
+ gripper_activity_action:
431
+ names:
432
+ - left_gripper_activity
433
+ - right_gripper_activity
434
+ dtype: int32
435
+ shape:
436
+ - 2
437
+ gripper_open_scale_state:
438
+ names:
439
+ - left_gripper_open_scale
440
+ - right_gripper_open_scale
441
+ dtype: float32
442
+ shape:
443
+ - 2
444
+ gripper_open_scale_action:
445
+ names:
446
+ - left_gripper_open_scale
447
+ - right_gripper_open_scale
448
+ dtype: float32
449
+ shape:
450
+ - 2
451
+ authors:
452
+ contributed_by:
453
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
454
+ dataset_description: This dataset uses an extended format based on LeRobot and is
455
+ fully compatible with LeRobot.
456
+ homepage: https://flagopen.github.io/RoboCOIN/
457
+ paper: https://arxiv.org/abs/2511.17441
458
+ repository: https://github.com/FlagOpen/RoboCOIN
459
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
460
+ us.
461
+ support_info: For technical support, please open an issue on our GitHub repository.
462
+ license_details: apache-2.0
463
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
464
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
465
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
466
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
467
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
468
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
469
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
470
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
471
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
472
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
473
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
474
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
475
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
476
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
477
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
478
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
479
+ additional_citations: 'If you use this dataset, please also consider citing:
480
+
481
+ LeRobot Framework: https://github.com/huggingface/lerobot
482
+
483
+ '
484
+ version_info: Initial Release
485
+ data_path: data/chunk-{id}/episode_{id}.parquet
486
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
487
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_heat_burger.yaml ADDED
@@ -0,0 +1,503 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_heat_burger
24
+ dataset_uuid: 943e9777-7526-4d63-8000-b8b9b20942f4
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
+ - object_name: microwave_oven
36
+ - object_name: plate
37
+ - object_name: hamburger
38
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
39
+ the operation type information.
40
+ task_instruction:
41
+ - Open the microwave oven with the right gripper, place the hamburger inside, and
42
+ then rotate it off with the left gripper. Rotate the button of the microwave oven
43
+ with the right gripper to heat up the hamburger. Turn on the microwave oven, pick
44
+ up the hamburger and place it on the table, then rotate it off with the left gripper.
45
+ sub_tasks:
46
+ - subtask: Abnormal.
47
+ subtask_index: 0
48
+ - subtask: 'Right gripper: pick up the plate with the hamburger.'
49
+ subtask_index: 1
50
+ - subtask: 'Right gripper: place the plate on the table.'
51
+ subtask_index: 2
52
+ - subtask: 'Right gripper: press the swap.'
53
+ subtask_index: 3
54
+ - subtask: 'Right gripper: place the plate in the microwave.'
55
+ subtask_index: 4
56
+ - subtask: End.
57
+ subtask_index: 5
58
+ - subtask: 'Right gripper: rotate timer button.'
59
+ subtask_index: 6
60
+ - subtask: 'Left gripper: close the microwave door.'
61
+ subtask_index: 7
62
+ - subtask: null.
63
+ subtask_index: 8
64
+ atomic_actions:
65
+ - grasp
66
+ - pick
67
+ - place
68
+ - push
69
+ - rotate
70
+ - press
71
+ robot_name:
72
+ - Agilex_Cobot_Magic
73
+ end_effector_type: two_finger_end_effector
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_right_wrist_rgb
79
+ - cam_left_wrist_rgb
80
+ came_info:
81
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264, pix_fmt=yuv420p
82
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
83
+ pix_fmt=yuv420p
84
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
85
+ pix_fmt=yuv420p
86
+ depth_enabled: false
87
+ coordinate_definition: right-hand-frame
88
+ joint_rotation_dim: radian
89
+ end_translation_dim: meter
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: 819
100
+ total_frames: 2478415
101
+ fps: 30
102
+ total_tasks: 9
103
+ total_videos: 2457
104
+ total_chunks: 1
105
+ chunks_size: 10000
106
+ state_dim: 26
107
+ action_dim: 26
108
+ camera_views: 3
109
+ dataset_size: 131.36 GB
110
+ frame_num: 2478469
111
+ frame_range: 10M
112
+ dataset_size: 131.36 GB
113
+ data_structure: 'Agilex_Cobot_Magic_heat_burger_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
+ | `-- ... (807 more entries)
160
+
161
+ |-- logs
162
+
163
+ | `-- collect
164
+
165
+ | `-- collect_20260522122014.log
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: 0:818
192
+ val: 802:902
193
+ test: 902:1003
194
+ features:
195
+ action:
196
+ dtype: float32
197
+ shape:
198
+ - 26
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
+ - left_eef_pos_x_m
207
+ - left_eef_pos_y_m
208
+ - left_eef_pos_z_m
209
+ - left_eef_rot_euler_x_rad
210
+ - left_eef_rot_euler_y_rad
211
+ - left_eef_rot_euler_z_rad
212
+ - left_gripper_open
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
+ - right_eef_pos_x_m
220
+ - right_eef_pos_y_m
221
+ - right_eef_pos_z_m
222
+ - right_eef_rot_euler_x_rad
223
+ - right_eef_rot_euler_y_rad
224
+ - right_eef_rot_euler_z_rad
225
+ - right_gripper_open
226
+ observation.state:
227
+ dtype: float32
228
+ shape:
229
+ - 26
230
+ names:
231
+ - left_arm_joint_1_rad
232
+ - left_arm_joint_2_rad
233
+ - left_arm_joint_3_rad
234
+ - left_arm_joint_4_rad
235
+ - left_arm_joint_5_rad
236
+ - left_arm_joint_6_rad
237
+ - left_eef_pos_x_m
238
+ - left_eef_pos_y_m
239
+ - left_eef_pos_z_m
240
+ - left_eef_rot_euler_x_rad
241
+ - left_eef_rot_euler_y_rad
242
+ - left_eef_rot_euler_z_rad
243
+ - left_gripper_open
244
+ - right_arm_joint_1_rad
245
+ - right_arm_joint_2_rad
246
+ - right_arm_joint_3_rad
247
+ - right_arm_joint_4_rad
248
+ - right_arm_joint_5_rad
249
+ - right_arm_joint_6_rad
250
+ - right_eef_pos_x_m
251
+ - right_eef_pos_y_m
252
+ - right_eef_pos_z_m
253
+ - right_eef_rot_euler_x_rad
254
+ - right_eef_rot_euler_y_rad
255
+ - right_eef_rot_euler_z_rad
256
+ - right_gripper_open
257
+ observation.images.cam_head_rgb:
258
+ dtype: video
259
+ shape:
260
+ - 480
261
+ - 640
262
+ - 3
263
+ names:
264
+ - height
265
+ - width
266
+ - channels
267
+ info:
268
+ video.fps: 30.0
269
+ video.height: 480
270
+ video.width: 640
271
+ video.channels: 3
272
+ video.codec: h264
273
+ video.pix_fmt: yuv420p
274
+ video.is_depth_map: false
275
+ has_audio: false
276
+ observation.images.cam_right_wrist_rgb:
277
+ dtype: video
278
+ shape:
279
+ - 480
280
+ - 640
281
+ - 3
282
+ names:
283
+ - height
284
+ - width
285
+ - channels
286
+ info:
287
+ video.fps: 30.0
288
+ video.height: 480
289
+ video.width: 640
290
+ video.channels: 3
291
+ video.codec: h264
292
+ video.pix_fmt: yuv420p
293
+ video.is_depth_map: false
294
+ has_audio: false
295
+ observation.images.cam_left_wrist_rgb:
296
+ dtype: video
297
+ shape:
298
+ - 480
299
+ - 640
300
+ - 3
301
+ names:
302
+ - height
303
+ - width
304
+ - channels
305
+ info:
306
+ video.fps: 30.0
307
+ video.height: 480
308
+ video.width: 640
309
+ video.channels: 3
310
+ video.codec: h264
311
+ video.pix_fmt: yuv420p
312
+ video.is_depth_map: false
313
+ has_audio: false
314
+ timestamp:
315
+ dtype: float32
316
+ shape:
317
+ - 1
318
+ names: null
319
+ frame_index:
320
+ dtype: int64
321
+ shape:
322
+ - 1
323
+ names: null
324
+ episode_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ index:
330
+ dtype: int64
331
+ shape:
332
+ - 1
333
+ names: null
334
+ task_index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ subtask_annotation:
340
+ names: null
341
+ dtype: int32
342
+ shape:
343
+ - 5
344
+ scene_annotation:
345
+ names: null
346
+ dtype: int32
347
+ shape:
348
+ - 1
349
+ eef_sim_pose_state:
350
+ names:
351
+ - left_eef_pos_x
352
+ - left_eef_pos_y
353
+ - left_eef_pos_z
354
+ - left_eef_rot_x
355
+ - left_eef_rot_y
356
+ - left_eef_rot_z
357
+ - right_eef_pos_x
358
+ - right_eef_pos_y
359
+ - right_eef_pos_z
360
+ - right_eef_rot_x
361
+ - right_eef_rot_y
362
+ - right_eef_rot_z
363
+ dtype: float32
364
+ shape:
365
+ - 12
366
+ eef_sim_pose_action:
367
+ names:
368
+ - left_eef_pos_x
369
+ - left_eef_pos_y
370
+ - left_eef_pos_z
371
+ - left_eef_rot_x
372
+ - left_eef_rot_y
373
+ - left_eef_rot_z
374
+ - right_eef_pos_x
375
+ - right_eef_pos_y
376
+ - right_eef_pos_z
377
+ - right_eef_rot_x
378
+ - right_eef_rot_y
379
+ - right_eef_rot_z
380
+ dtype: float32
381
+ shape:
382
+ - 12
383
+ eef_direction_state:
384
+ names:
385
+ - left_eef_direction
386
+ - right_eef_direction
387
+ dtype: int32
388
+ shape:
389
+ - 2
390
+ eef_direction_action:
391
+ names:
392
+ - left_eef_direction
393
+ - right_eef_direction
394
+ dtype: int32
395
+ shape:
396
+ - 2
397
+ eef_velocity_state:
398
+ names:
399
+ - left_eef_velocity
400
+ - right_eef_velocity
401
+ dtype: int32
402
+ shape:
403
+ - 2
404
+ eef_velocity_action:
405
+ names:
406
+ - left_eef_velocity
407
+ - right_eef_velocity
408
+ dtype: int32
409
+ shape:
410
+ - 2
411
+ eef_acc_mag_state:
412
+ names:
413
+ - left_eef_acc_mag
414
+ - right_eef_acc_mag
415
+ dtype: int32
416
+ shape:
417
+ - 2
418
+ eef_acc_mag_action:
419
+ names:
420
+ - left_eef_acc_mag
421
+ - right_eef_acc_mag
422
+ dtype: int32
423
+ shape:
424
+ - 2
425
+ gripper_mode_state:
426
+ names:
427
+ - left_gripper_mode
428
+ - right_gripper_mode
429
+ dtype: int32
430
+ shape:
431
+ - 2
432
+ gripper_mode_action:
433
+ names:
434
+ - left_gripper_mode
435
+ - right_gripper_mode
436
+ dtype: int32
437
+ shape:
438
+ - 2
439
+ gripper_activity_state:
440
+ names:
441
+ - left_gripper_activity
442
+ - right_gripper_activity
443
+ dtype: int32
444
+ shape:
445
+ - 2
446
+ gripper_activity_action:
447
+ names:
448
+ - left_gripper_activity
449
+ - right_gripper_activity
450
+ dtype: int32
451
+ shape:
452
+ - 2
453
+ gripper_open_scale_state:
454
+ names:
455
+ - left_gripper_open_scale
456
+ - right_gripper_open_scale
457
+ dtype: float32
458
+ shape:
459
+ - 2
460
+ gripper_open_scale_action:
461
+ names:
462
+ - left_gripper_open_scale
463
+ - right_gripper_open_scale
464
+ dtype: float32
465
+ shape:
466
+ - 2
467
+ authors:
468
+ contributed_by:
469
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
470
+ dataset_description: This dataset uses an extended format based on LeRobot and is
471
+ fully compatible with LeRobot.
472
+ homepage: https://flagopen.github.io/RoboCOIN/
473
+ paper: https://arxiv.org/abs/2511.17441
474
+ repository: https://github.com/FlagOpen/RoboCOIN
475
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
476
+ us.
477
+ support_info: For technical support, please open an issue on our GitHub repository.
478
+ license_details: apache-2.0
479
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
480
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
481
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
482
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
483
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
484
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
485
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
486
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
487
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
488
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
489
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
490
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
491
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
492
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
493
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
494
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
495
+ additional_citations: 'If you use this dataset, please also consider citing:
496
+
497
+ LeRobot Framework: https://github.com/huggingface/lerobot
498
+
499
+ '
500
+ version_info: Initial Release
501
+ data_path: data/chunk-{id}/episode_{id}.parquet
502
+ video_path: videos/chunk-{id}/observation.images.cam_head_rgb/episode_{id}.mp{id}
503
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_heat_sandwich.yaml ADDED
@@ -0,0 +1,492 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_heat_sandwich
24
+ dataset_uuid: ecebb15f-6434-4ba0-bb23-73f5be418b3b
25
+ scene_type:
26
+ level1: household
27
+ level2: null
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
+ - object_name: microwave_oven
36
+ - object_name: plates
37
+ - object_name: sandwich
38
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
39
+ the operation type information.
40
+ task_instruction:
41
+ - Turn on the microwave oven with the gripper. Pick up the sandwich with the gripper
42
+ and place it inside. Turn off the microwave oven with the gripper. Rotate the microwave
43
+ oven button to heat up the sandwich with the gripper. Then turn on the microwave
44
+ oven with the gripper, pick up the sandwich with the gripper, and place it on the
45
+ table with the gripper. Turn off the microwave oven with the gripper again.
46
+ sub_tasks:
47
+ - subtask: 'Right gripper: place the plate on the table.'
48
+ subtask_index: 0
49
+ - subtask: 'Right gripper: press the swap.'
50
+ subtask_index: 1
51
+ - subtask: 'Right gripper: place the plate in the microwave.'
52
+ subtask_index: 2
53
+ - subtask: End.
54
+ subtask_index: 3
55
+ - subtask: 'Right gripper: rotate timer button.'
56
+ subtask_index: 4
57
+ - subtask: 'Right gripper: pick up the plate with the sandwich.'
58
+ subtask_index: 5
59
+ - subtask: 'Left gripper: close the microwave door.'
60
+ subtask_index: 6
61
+ - subtask: null.
62
+ subtask_index: 7
63
+ atomic_actions:
64
+ - grasp
65
+ - lift
66
+ - place
67
+ - press
68
+ robot_name:
69
+ - Agilex_Cobot_Magic
70
+ end_effector_type: two_finger_end_effector
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_right_wrist_rgb
76
+ - cam_left_wrist_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264, pix_fmt=yuv420p
79
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
80
+ pix_fmt=yuv420p
81
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
82
+ pix_fmt=yuv420p
83
+ depth_enabled: false
84
+ coordinate_definition: right-hand-frame
85
+ joint_rotation_dim: radian
86
+ end_translation_dim: meter
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: 301
97
+ total_frames: 979323
98
+ fps: 30
99
+ total_tasks: 8
100
+ total_videos: 903
101
+ total_chunks: 1
102
+ chunks_size: 10000
103
+ state_dim: 26
104
+ action_dim: 26
105
+ camera_views: 3
106
+ dataset_size: 47.95 GB
107
+ frame_num: 979323
108
+ frame_range: 1M
109
+ dataset_size: 47.95 GB
110
+ data_structure: 'Agilex_Cobot_Magic_heat_sandwich_qced_hardlink/
111
+
112
+ |-- annotations
113
+
114
+ | |-- eef_acc_mag_annotation.jsonl
115
+
116
+ | |-- eef_direction_annotation.jsonl
117
+
118
+ | |-- eef_velocity_annotation.jsonl
119
+
120
+ | |-- gripper_activity_annotation.jsonl
121
+
122
+ | |-- gripper_mode_annotation.jsonl
123
+
124
+ | |-- scene_annotations.jsonl
125
+
126
+ | `-- subtask_annotations.jsonl
127
+
128
+ |-- data
129
+
130
+ | `-- chunk-000
131
+
132
+ | |-- episode_000000.parquet
133
+
134
+ | |-- episode_000001.parquet
135
+
136
+ | |-- episode_000002.parquet
137
+
138
+ | |-- episode_000003.parquet
139
+
140
+ | |-- episode_000004.parquet
141
+
142
+ | |-- episode_000005.parquet
143
+
144
+ | |-- episode_000006.parquet
145
+
146
+ | |-- episode_000007.parquet
147
+
148
+ | |-- episode_000008.parquet
149
+
150
+ | |-- episode_000009.parquet
151
+
152
+ | |-- episode_000010.parquet
153
+
154
+ | `-- episode_000011.parquet
155
+
156
+ | `-- ... (289 more entries)
157
+
158
+ |-- meta
159
+
160
+ | |-- episodes.jsonl
161
+
162
+ | |-- episodes_stats.jsonl
163
+
164
+ | |-- info.json
165
+
166
+ | `-- tasks.jsonl
167
+
168
+ |-- videos
169
+
170
+ | `-- chunk-000
171
+
172
+ | |-- observation.images.cam_head_rgb
173
+
174
+ | |-- observation.images.cam_left_wrist_rgb
175
+
176
+ | `-- observation.images.cam_right_wrist_rgb
177
+
178
+ |-- info.yaml
179
+
180
+ `-- README.md'
181
+ splits:
182
+ train: 0:300
183
+ features:
184
+ action:
185
+ dtype: float32
186
+ shape:
187
+ - 26
188
+ names:
189
+ - left_arm_joint_1_rad
190
+ - left_arm_joint_2_rad
191
+ - left_arm_joint_3_rad
192
+ - left_arm_joint_4_rad
193
+ - left_arm_joint_5_rad
194
+ - left_arm_joint_6_rad
195
+ - left_eef_pos_x_m
196
+ - left_eef_pos_y_m
197
+ - left_eef_pos_z_m
198
+ - left_eef_rot_euler_x_rad
199
+ - left_eef_rot_euler_y_rad
200
+ - left_eef_rot_euler_z_rad
201
+ - left_gripper_open
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
+ - right_eef_pos_x_m
209
+ - right_eef_pos_y_m
210
+ - right_eef_pos_z_m
211
+ - right_eef_rot_euler_x_rad
212
+ - right_eef_rot_euler_y_rad
213
+ - right_eef_rot_euler_z_rad
214
+ - right_gripper_open
215
+ observation.state:
216
+ dtype: float32
217
+ shape:
218
+ - 26
219
+ names:
220
+ - left_arm_joint_1_rad
221
+ - left_arm_joint_2_rad
222
+ - left_arm_joint_3_rad
223
+ - left_arm_joint_4_rad
224
+ - left_arm_joint_5_rad
225
+ - left_arm_joint_6_rad
226
+ - left_eef_pos_x_m
227
+ - left_eef_pos_y_m
228
+ - left_eef_pos_z_m
229
+ - left_eef_rot_euler_x_rad
230
+ - left_eef_rot_euler_y_rad
231
+ - left_eef_rot_euler_z_rad
232
+ - left_gripper_open
233
+ - right_arm_joint_1_rad
234
+ - right_arm_joint_2_rad
235
+ - right_arm_joint_3_rad
236
+ - right_arm_joint_4_rad
237
+ - right_arm_joint_5_rad
238
+ - right_arm_joint_6_rad
239
+ - right_eef_pos_x_m
240
+ - right_eef_pos_y_m
241
+ - right_eef_pos_z_m
242
+ - right_eef_rot_euler_x_rad
243
+ - right_eef_rot_euler_y_rad
244
+ - right_eef_rot_euler_z_rad
245
+ - right_gripper_open
246
+ observation.images.cam_head_rgb:
247
+ dtype: video
248
+ shape:
249
+ - 480
250
+ - 640
251
+ - 3
252
+ names:
253
+ - height
254
+ - width
255
+ - channels
256
+ info:
257
+ video.fps: 30.0
258
+ video.height: 480
259
+ video.width: 640
260
+ video.channels: 3
261
+ video.codec: h264
262
+ video.pix_fmt: yuv420p
263
+ video.is_depth_map: false
264
+ has_audio: false
265
+ observation.images.cam_right_wrist_rgb:
266
+ dtype: video
267
+ shape:
268
+ - 480
269
+ - 640
270
+ - 3
271
+ names:
272
+ - height
273
+ - width
274
+ - channels
275
+ info:
276
+ video.fps: 30.0
277
+ video.height: 480
278
+ video.width: 640
279
+ video.channels: 3
280
+ video.codec: h264
281
+ video.pix_fmt: yuv420p
282
+ video.is_depth_map: false
283
+ has_audio: false
284
+ observation.images.cam_left_wrist_rgb:
285
+ dtype: video
286
+ shape:
287
+ - 480
288
+ - 640
289
+ - 3
290
+ names:
291
+ - height
292
+ - width
293
+ - channels
294
+ info:
295
+ video.fps: 30.0
296
+ video.height: 480
297
+ video.width: 640
298
+ video.channels: 3
299
+ video.codec: h264
300
+ video.pix_fmt: yuv420p
301
+ video.is_depth_map: false
302
+ has_audio: false
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
+ dtype: int32
331
+ shape:
332
+ - 5
333
+ scene_annotation:
334
+ names: null
335
+ dtype: int32
336
+ shape:
337
+ - 1
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
+ dtype: float32
353
+ shape:
354
+ - 12
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
+ dtype: float32
370
+ shape:
371
+ - 12
372
+ eef_direction_state:
373
+ names:
374
+ - left_eef_direction
375
+ - right_eef_direction
376
+ dtype: int32
377
+ shape:
378
+ - 2
379
+ eef_direction_action:
380
+ names:
381
+ - left_eef_direction
382
+ - right_eef_direction
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_velocity_state:
387
+ names:
388
+ - left_eef_velocity
389
+ - right_eef_velocity
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_velocity_action:
394
+ names:
395
+ - left_eef_velocity
396
+ - right_eef_velocity
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_acc_mag_state:
401
+ names:
402
+ - left_eef_acc_mag
403
+ - right_eef_acc_mag
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_acc_mag_action:
408
+ names:
409
+ - left_eef_acc_mag
410
+ - right_eef_acc_mag
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ gripper_mode_state:
415
+ names:
416
+ - left_gripper_mode
417
+ - right_gripper_mode
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ gripper_mode_action:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_activity_state:
429
+ names:
430
+ - left_gripper_activity
431
+ - right_gripper_activity
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_action:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ gripper_open_scale_state:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ dtype: float32
447
+ shape:
448
+ - 2
449
+ gripper_open_scale_action:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ dtype: float32
454
+ shape:
455
+ - 2
456
+ authors:
457
+ contributed_by:
458
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
459
+ dataset_description: This dataset uses an extended format based on LeRobot and is
460
+ fully compatible with LeRobot.
461
+ homepage: https://flagopen.github.io/RoboCOIN/
462
+ paper: https://arxiv.org/abs/2511.17441
463
+ repository: https://github.com/FlagOpen/RoboCOIN
464
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
465
+ us.
466
+ support_info: For technical support, please open an issue on our GitHub repository.
467
+ license_details: apache-2.0
468
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
469
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
470
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
471
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
472
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
473
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
474
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
475
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
476
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
477
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
478
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
479
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
480
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
481
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
482
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
483
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
484
+ additional_citations: 'If you use this dataset, please also consider citing:
485
+
486
+ LeRobot Framework: https://github.com/huggingface/lerobot
487
+
488
+ '
489
+ version_info: Initial Release
490
+ data_path: data/chunk-{id}/episode_{id}.parquet
491
+ video_path: videos/chunk-{id}/observation.images.cam_right_wrist_rgb/episode_{id}.mp{id}
492
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_make_sandwiche.yaml ADDED
@@ -0,0 +1,531 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_make_sandwiche
24
+ dataset_uuid: 8c8eae1d-086d-4ef3-b908-bb55c1d82660
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
+ - object_name: plate
36
+ - object_name: storage_box
37
+ - object_name: bread
38
+ - object_name: cheese
39
+ - object_name: lettuce
40
+ - object_name: bacon
41
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
42
+ the operation type information.
43
+ task_instruction:
44
+ - Make sandwiches with the food from the boxes on both sides, placing them in the
45
+ middle plate with the gripper.
46
+ sub_tasks:
47
+ - subtask: Left gripper:place the bread cut on the cheese cut.
48
+ subtask_index: 0
49
+ - subtask: Right gripper:pick up the lettuce cut.
50
+ subtask_index: 1
51
+ - subtask: Right gripper:pick up the bacon.
52
+ subtask_index: 2
53
+ - subtask: Right gripper:place the cheese cut on top of the bacon.
54
+ subtask_index: 3
55
+ - subtask: Left gripper:place bacon on bacon.
56
+ subtask_index: 4
57
+ - subtask: Left gripper:pick up the bread cut.
58
+ subtask_index: 5
59
+ - subtask: Right gripper:place bacon on lettuce cut.
60
+ subtask_index: 6
61
+ - subtask: Right gripper:place the lettuce cut on the bread cut.
62
+ subtask_index: 7
63
+ - subtask: Left gripper:Place the lettuce cut on the bread cut.
64
+ subtask_index: 8
65
+ - subtask: Left gripper:place bacon on lettuce cut.
66
+ subtask_index: 9
67
+ - subtask: Right gripper:place the bread cut on the cheese cut.
68
+ subtask_index: 10
69
+ - subtask: Right gripper:place the bread cut on the plate.
70
+ subtask_index: 11
71
+ - subtask: Left gripper:place the cheese cut on top of the bacon.
72
+ subtask_index: 12
73
+ - subtask: Left gripper:pick up the cheese cut.
74
+ subtask_index: 13
75
+ - subtask: Abnormal.
76
+ subtask_index: 14
77
+ - subtask: Left gripper:Place the bread slices on the plate.
78
+ subtask_index: 15
79
+ - subtask: Left gripper:place the lettuce cut on the bread cut.
80
+ subtask_index: 16
81
+ - subtask: Left gripper:place the bread cut on the plate.
82
+ subtask_index: 17
83
+ - subtask: Right gripper:pick up the cheese cut.
84
+ subtask_index: 18
85
+ - subtask: Right gripper:pick up the bread cut.
86
+ subtask_index: 19
87
+ - subtask: Left gripper:pick up the bacon.
88
+ subtask_index: 20
89
+ - subtask: Left gripper:Place bacon on lettuce cut.
90
+ subtask_index: 21
91
+ - subtask: End.
92
+ subtask_index: 22
93
+ - subtask: Right gripper:place bacon on bacon.
94
+ subtask_index: 23
95
+ - subtask: Left gripper:pick up the lettuce cut.
96
+ subtask_index: 24
97
+ - subtask: Right gripper:Place the cheese cut on top of the bacon.
98
+ subtask_index: 25
99
+ - subtask: null.
100
+ subtask_index: 26
101
+ atomic_actions:
102
+ - grasp
103
+ - place
104
+ - pick
105
+ robot_name:
106
+ - Agilex_Cobot_Magic
107
+ end_effector_type: two_finger_end_effector
108
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
109
+ type information.
110
+ sensor_list:
111
+ - cam_head_rgb
112
+ - cam_right_wrist_rgb
113
+ - cam_left_wrist_rgb
114
+ came_info:
115
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264, pix_fmt=yuv420p
116
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
117
+ pix_fmt=yuv420p
118
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=h264,
119
+ pix_fmt=yuv420p
120
+ depth_enabled: false
121
+ coordinate_definition: right-hand-frame
122
+ joint_rotation_dim: radian
123
+ end_translation_dim: meter
124
+ annotations:
125
+ - eef_acc_mag_annotation.jsonl
126
+ - eef_direction_annotation.jsonl
127
+ - eef_velocity_annotation.jsonl
128
+ - gripper_activity_annotation.jsonl
129
+ - gripper_mode_annotation.jsonl
130
+ - scene_annotations.jsonl
131
+ - subtask_annotations.jsonl
132
+ statistics:
133
+ total_episodes: 515
134
+ total_frames: 813553
135
+ fps: 30
136
+ total_tasks: 27
137
+ total_videos: 1545
138
+ total_chunks: 1
139
+ chunks_size: 10000
140
+ state_dim: 26
141
+ action_dim: 26
142
+ camera_views: 3
143
+ dataset_size: 53.82 GB
144
+ frame_num: 813553
145
+ frame_range: 1M
146
+ dataset_size: 53.82 GB
147
+ data_structure: 'Agilex_Cobot_Magic_make_sandwiche_qced_hardlink/
148
+
149
+ |-- annotations
150
+
151
+ | |-- eef_acc_mag_annotation.jsonl
152
+
153
+ | |-- eef_direction_annotation.jsonl
154
+
155
+ | |-- eef_velocity_annotation.jsonl
156
+
157
+ | |-- gripper_activity_annotation.jsonl
158
+
159
+ | |-- gripper_mode_annotation.jsonl
160
+
161
+ | |-- scene_annotations.jsonl
162
+
163
+ | `-- subtask_annotations.jsonl
164
+
165
+ |-- data
166
+
167
+ | `-- chunk-000
168
+
169
+ | |-- episode_000000.parquet
170
+
171
+ | |-- episode_000001.parquet
172
+
173
+ | |-- episode_000002.parquet
174
+
175
+ | |-- episode_000003.parquet
176
+
177
+ | |-- episode_000004.parquet
178
+
179
+ | |-- episode_000005.parquet
180
+
181
+ | |-- episode_000006.parquet
182
+
183
+ | |-- episode_000007.parquet
184
+
185
+ | |-- episode_000008.parquet
186
+
187
+ | |-- episode_000009.parquet
188
+
189
+ | |-- episode_000010.parquet
190
+
191
+ | `-- episode_000011.parquet
192
+
193
+ | `-- ... (503 more entries)
194
+
195
+ |-- meta
196
+
197
+ | |-- episodes.jsonl
198
+
199
+ | |-- episodes_stats.jsonl
200
+
201
+ | |-- info.json
202
+
203
+ | `-- tasks.jsonl
204
+
205
+ |-- videos
206
+
207
+ | `-- chunk-000
208
+
209
+ | |-- observation.images.cam_head_rgb
210
+
211
+ | |-- observation.images.cam_left_wrist_rgb
212
+
213
+ | `-- observation.images.cam_right_wrist_rgb
214
+
215
+ |-- info.yaml
216
+
217
+ `-- README.md'
218
+ splits:
219
+ train: 0:514
220
+ val: 425:478
221
+ test: 478:532
222
+ features:
223
+ action:
224
+ dtype: float32
225
+ shape:
226
+ - 26
227
+ names:
228
+ - left_arm_joint_1_rad
229
+ - left_arm_joint_2_rad
230
+ - left_arm_joint_3_rad
231
+ - left_arm_joint_4_rad
232
+ - left_arm_joint_5_rad
233
+ - left_arm_joint_6_rad
234
+ - left_eef_pos_x_m
235
+ - left_eef_pos_y_m
236
+ - left_eef_pos_z_m
237
+ - left_eef_rot_euler_x_rad
238
+ - left_eef_rot_euler_y_rad
239
+ - left_eef_rot_euler_z_rad
240
+ - left_gripper_open
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
+ - right_eef_pos_x_m
248
+ - right_eef_pos_y_m
249
+ - right_eef_pos_z_m
250
+ - right_eef_rot_euler_x_rad
251
+ - right_eef_rot_euler_y_rad
252
+ - right_eef_rot_euler_z_rad
253
+ - right_gripper_open
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_eef_pos_x_m
266
+ - left_eef_pos_y_m
267
+ - left_eef_pos_z_m
268
+ - left_eef_rot_euler_x_rad
269
+ - left_eef_rot_euler_y_rad
270
+ - left_eef_rot_euler_z_rad
271
+ - left_gripper_open
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_eef_pos_x_m
279
+ - right_eef_pos_y_m
280
+ - right_eef_pos_z_m
281
+ - right_eef_rot_euler_x_rad
282
+ - right_eef_rot_euler_y_rad
283
+ - right_eef_rot_euler_z_rad
284
+ - right_gripper_open
285
+ observation.images.cam_head_rgb:
286
+ dtype: video
287
+ shape:
288
+ - 480
289
+ - 640
290
+ - 3
291
+ names:
292
+ - height
293
+ - width
294
+ - channels
295
+ info:
296
+ video.fps: 30.0
297
+ video.height: 480
298
+ video.width: 640
299
+ video.channels: 3
300
+ video.codec: h264
301
+ video.pix_fmt: yuv420p
302
+ video.is_depth_map: false
303
+ has_audio: false
304
+ observation.images.cam_right_wrist_rgb:
305
+ dtype: video
306
+ shape:
307
+ - 480
308
+ - 640
309
+ - 3
310
+ names:
311
+ - height
312
+ - width
313
+ - channels
314
+ info:
315
+ video.fps: 30.0
316
+ video.height: 480
317
+ video.width: 640
318
+ video.channels: 3
319
+ video.codec: h264
320
+ video.pix_fmt: yuv420p
321
+ video.is_depth_map: false
322
+ has_audio: false
323
+ observation.images.cam_left_wrist_rgb:
324
+ dtype: video
325
+ shape:
326
+ - 480
327
+ - 640
328
+ - 3
329
+ names:
330
+ - height
331
+ - width
332
+ - channels
333
+ info:
334
+ video.fps: 30.0
335
+ video.height: 480
336
+ video.width: 640
337
+ video.channels: 3
338
+ video.codec: h264
339
+ video.pix_fmt: yuv420p
340
+ video.is_depth_map: false
341
+ has_audio: false
342
+ timestamp:
343
+ dtype: float32
344
+ shape:
345
+ - 1
346
+ names: null
347
+ frame_index:
348
+ dtype: int64
349
+ shape:
350
+ - 1
351
+ names: null
352
+ episode_index:
353
+ dtype: int64
354
+ shape:
355
+ - 1
356
+ names: null
357
+ index:
358
+ dtype: int64
359
+ shape:
360
+ - 1
361
+ names: null
362
+ task_index:
363
+ dtype: int64
364
+ shape:
365
+ - 1
366
+ names: null
367
+ subtask_annotation:
368
+ names: null
369
+ dtype: int32
370
+ shape:
371
+ - 5
372
+ scene_annotation:
373
+ names: null
374
+ dtype: int32
375
+ shape:
376
+ - 1
377
+ eef_sim_pose_state:
378
+ names:
379
+ - left_eef_pos_x
380
+ - left_eef_pos_y
381
+ - left_eef_pos_z
382
+ - left_eef_rot_x
383
+ - left_eef_rot_y
384
+ - left_eef_rot_z
385
+ - right_eef_pos_x
386
+ - right_eef_pos_y
387
+ - right_eef_pos_z
388
+ - right_eef_rot_x
389
+ - right_eef_rot_y
390
+ - right_eef_rot_z
391
+ dtype: float32
392
+ shape:
393
+ - 12
394
+ eef_sim_pose_action:
395
+ names:
396
+ - left_eef_pos_x
397
+ - left_eef_pos_y
398
+ - left_eef_pos_z
399
+ - left_eef_rot_x
400
+ - left_eef_rot_y
401
+ - left_eef_rot_z
402
+ - right_eef_pos_x
403
+ - right_eef_pos_y
404
+ - right_eef_pos_z
405
+ - right_eef_rot_x
406
+ - right_eef_rot_y
407
+ - right_eef_rot_z
408
+ dtype: float32
409
+ shape:
410
+ - 12
411
+ eef_direction_state:
412
+ names:
413
+ - left_eef_direction
414
+ - right_eef_direction
415
+ dtype: int32
416
+ shape:
417
+ - 2
418
+ eef_direction_action:
419
+ names:
420
+ - left_eef_direction
421
+ - right_eef_direction
422
+ dtype: int32
423
+ shape:
424
+ - 2
425
+ eef_velocity_state:
426
+ names:
427
+ - left_eef_velocity
428
+ - right_eef_velocity
429
+ dtype: int32
430
+ shape:
431
+ - 2
432
+ eef_velocity_action:
433
+ names:
434
+ - left_eef_velocity
435
+ - right_eef_velocity
436
+ dtype: int32
437
+ shape:
438
+ - 2
439
+ eef_acc_mag_state:
440
+ names:
441
+ - left_eef_acc_mag
442
+ - right_eef_acc_mag
443
+ dtype: int32
444
+ shape:
445
+ - 2
446
+ eef_acc_mag_action:
447
+ names:
448
+ - left_eef_acc_mag
449
+ - right_eef_acc_mag
450
+ dtype: int32
451
+ shape:
452
+ - 2
453
+ gripper_mode_state:
454
+ names:
455
+ - left_gripper_mode
456
+ - right_gripper_mode
457
+ dtype: int32
458
+ shape:
459
+ - 2
460
+ gripper_mode_action:
461
+ names:
462
+ - left_gripper_mode
463
+ - right_gripper_mode
464
+ dtype: int32
465
+ shape:
466
+ - 2
467
+ gripper_activity_state:
468
+ names:
469
+ - left_gripper_activity
470
+ - right_gripper_activity
471
+ dtype: int32
472
+ shape:
473
+ - 2
474
+ gripper_activity_action:
475
+ names:
476
+ - left_gripper_activity
477
+ - right_gripper_activity
478
+ dtype: int32
479
+ shape:
480
+ - 2
481
+ gripper_open_scale_state:
482
+ names:
483
+ - left_gripper_open_scale
484
+ - right_gripper_open_scale
485
+ dtype: float32
486
+ shape:
487
+ - 2
488
+ gripper_open_scale_action:
489
+ names:
490
+ - left_gripper_open_scale
491
+ - right_gripper_open_scale
492
+ dtype: float32
493
+ shape:
494
+ - 2
495
+ authors:
496
+ contributed_by:
497
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
498
+ dataset_description: This dataset uses an extended format based on LeRobot and is
499
+ fully compatible with LeRobot.
500
+ homepage: https://flagopen.github.io/RoboCOIN/
501
+ paper: https://arxiv.org/abs/2511.17441
502
+ repository: https://github.com/FlagOpen/RoboCOIN
503
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
504
+ us.
505
+ support_info: For technical support, please open an issue on our GitHub repository.
506
+ license_details: apache-2.0
507
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
508
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
509
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
510
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
511
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
512
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
513
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
514
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
515
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
516
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
517
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
518
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
519
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
520
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
521
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
522
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
523
+ additional_citations: 'If you use this dataset, please also consider citing:
524
+
525
+ LeRobot Framework: https://github.com/huggingface/lerobot
526
+
527
+ '
528
+ version_info: Initial Release
529
+ data_path: data/chunk-{id}/episode_{id}.parquet
530
+ video_path: videos/chunk-{id}/observation.images.cam_head_rgb/episode_{id}.mp{id}
531
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_move_mouse.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: Agilex_Cobot_Magic_move_mouse
24
+ dataset_uuid: f3b727e5-e363-4a22-996e-b8f5281085ce
25
+ scene_type:
26
+ level1: office
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: mouse
35
+ - object_name: mouse_pad
36
+ - object_name: table
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Organize the mouse on the mouse pad with the right gripper.
41
+ sub_tasks:
42
+ - subtask: Grasp the mouse with the left gripper.
43
+ subtask_index: 0
44
+ - subtask: Abnormal.
45
+ subtask_index: 1
46
+ - subtask: Grasp the mouse with the right gripper.
47
+ subtask_index: 2
48
+ - subtask: Place the mouse on the mouse mat with the right gripper.
49
+ subtask_index: 3
50
+ - subtask: End.
51
+ subtask_index: 4
52
+ - subtask: Place the mouse on the mouse mat with the left gripper.
53
+ subtask_index: 5
54
+ - subtask: null.
55
+ subtask_index: 6
56
+ atomic_actions:
57
+ - grasp
58
+ - lift
59
+ - place
60
+ robot_name:
61
+ - Agilex_Cobot_Magic
62
+ end_effector_type: two_finger_end_effector
63
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
64
+ type information.
65
+ sensor_list:
66
+ - cam_head_rgb
67
+ - cam_left_wrist_rgb
68
+ - cam_right_wrist_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
+ depth_enabled: false
76
+ coordinate_definition: right-hand-frame
77
+ joint_rotation_dim: radian
78
+ end_translation_dim: meter
79
+ annotations:
80
+ - eef_acc_mag_annotation.jsonl
81
+ - eef_direction_annotation.jsonl
82
+ - eef_velocity_annotation.jsonl
83
+ - gripper_activity_annotation.jsonl
84
+ - gripper_mode_annotation.jsonl
85
+ - scene_annotations.jsonl
86
+ - subtask_annotations.jsonl
87
+ statistics:
88
+ total_episodes: 112
89
+ total_frames: 49737
90
+ fps: 30
91
+ total_tasks: 7
92
+ total_videos: 336
93
+ total_chunks: 1
94
+ chunks_size: 1000
95
+ state_dim: 26
96
+ action_dim: 26
97
+ camera_views: 3
98
+ dataset_size: 386.89 MB
99
+ frame_num: 49737
100
+ frame_range: 100K
101
+ dataset_size: 386.89 MB
102
+ data_structure: 'Agilex_Cobot_Magic_move_mouse_qced_hardlink/
103
+
104
+ |-- annotations
105
+
106
+ | |-- eef_acc_mag_annotation.jsonl
107
+
108
+ | |-- eef_direction_annotation.jsonl
109
+
110
+ | |-- eef_velocity_annotation.jsonl
111
+
112
+ | |-- gripper_activity_annotation.jsonl
113
+
114
+ | |-- gripper_mode_annotation.jsonl
115
+
116
+ | |-- scene_annotations.jsonl
117
+
118
+ | `-- subtask_annotations.jsonl
119
+
120
+ |-- backup
121
+
122
+ | |-- data
123
+
124
+ | | `-- chunk-000
125
+
126
+ | `-- meta
127
+
128
+ | |-- episodes.jsonl
129
+
130
+ | |-- episodes_stats.jsonl
131
+
132
+ | |-- info.json
133
+
134
+ | `-- tasks.jsonl
135
+
136
+ |-- data
137
+
138
+ | `-- chunk-000
139
+
140
+ | |-- episode_000000.parquet
141
+
142
+ | |-- episode_000001.parquet
143
+
144
+ | |-- episode_000002.parquet
145
+
146
+ | |-- episode_000003.parquet
147
+
148
+ | |-- episode_000004.parquet
149
+
150
+ | |-- episode_000005.parquet
151
+
152
+ | |-- episode_000006.parquet
153
+
154
+ | |-- episode_000007.parquet
155
+
156
+ | |-- episode_000008.parquet
157
+
158
+ | |-- episode_000009.parquet
159
+
160
+ | |-- episode_000010.parquet
161
+
162
+ | `-- episode_000011.parquet
163
+
164
+ | `-- ... (100 more entries)
165
+
166
+ |-- meta
167
+
168
+ | |-- episodes.jsonl
169
+
170
+ | |-- episodes_stats.jsonl
171
+
172
+ | |-- info.json
173
+
174
+ | `-- tasks.jsonl
175
+
176
+ |-- videos
177
+
178
+ | `-- chunk-000
179
+
180
+ | |-- observation.images.cam_head_rgb
181
+
182
+ | |-- observation.images.cam_left_wrist_rgb
183
+
184
+ | `-- observation.images.cam_right_wrist_rgb
185
+
186
+ |-- info.yaml
187
+
188
+ `-- README.md'
189
+ splits:
190
+ train: 0:111
191
+ features:
192
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
212
+ dtype: video
213
+ shape:
214
+ - 480
215
+ - 640
216
+ - 3
217
+ names:
218
+ - height
219
+ - width
220
+ - channels
221
+ info:
222
+ video.height: 480
223
+ video.width: 640
224
+ video.codec: av1
225
+ video.pix_fmt: yuv420p
226
+ video.is_depth_map: false
227
+ video.fps: 30
228
+ video.channels: 3
229
+ has_audio: false
230
+ observation.images.cam_right_wrist_rgb:
231
+ dtype: video
232
+ shape:
233
+ - 480
234
+ - 640
235
+ - 3
236
+ names:
237
+ - height
238
+ - width
239
+ - channels
240
+ info:
241
+ video.height: 480
242
+ video.width: 640
243
+ video.codec: av1
244
+ video.pix_fmt: yuv420p
245
+ video.is_depth_map: false
246
+ video.fps: 30
247
+ video.channels: 3
248
+ has_audio: false
249
+ observation.state:
250
+ dtype: float32
251
+ shape:
252
+ - 26
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
+ - left_gripper_open
261
+ - left_eef_pos_x_m
262
+ - left_eef_pos_y_m
263
+ - left_eef_pos_z_m
264
+ - left_eef_rot_euler_x_rad
265
+ - left_eef_rot_euler_y_rad
266
+ - left_eef_rot_euler_z_rad
267
+ - right_arm_joint_1_rad
268
+ - right_arm_joint_2_rad
269
+ - right_arm_joint_3_rad
270
+ - right_arm_joint_4_rad
271
+ - right_arm_joint_5_rad
272
+ - right_arm_joint_6_rad
273
+ - right_gripper_open
274
+ - right_eef_pos_x_m
275
+ - right_eef_pos_y_m
276
+ - right_eef_pos_z_m
277
+ - right_eef_rot_euler_x_rad
278
+ - right_eef_rot_euler_y_rad
279
+ - right_eef_rot_euler_z_rad
280
+ action:
281
+ dtype: float32
282
+ shape:
283
+ - 26
284
+ names:
285
+ - left_arm_joint_1_rad
286
+ - left_arm_joint_2_rad
287
+ - left_arm_joint_3_rad
288
+ - left_arm_joint_4_rad
289
+ - left_arm_joint_5_rad
290
+ - left_arm_joint_6_rad
291
+ - left_gripper_open
292
+ - left_eef_pos_x_m
293
+ - left_eef_pos_y_m
294
+ - left_eef_pos_z_m
295
+ - left_eef_rot_euler_x_rad
296
+ - left_eef_rot_euler_y_rad
297
+ - left_eef_rot_euler_z_rad
298
+ - right_arm_joint_1_rad
299
+ - right_arm_joint_2_rad
300
+ - right_arm_joint_3_rad
301
+ - right_arm_joint_4_rad
302
+ - right_arm_joint_5_rad
303
+ - right_arm_joint_6_rad
304
+ - right_gripper_open
305
+ - right_eef_pos_x_m
306
+ - right_eef_pos_y_m
307
+ - right_eef_pos_z_m
308
+ - right_eef_rot_euler_x_rad
309
+ - right_eef_rot_euler_y_rad
310
+ - right_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_mode_state:
423
+ names:
424
+ - left_gripper_mode
425
+ - right_gripper_mode
426
+ shape:
427
+ - 2
428
+ dtype: int32
429
+ gripper_mode_action:
430
+ names:
431
+ - left_gripper_mode
432
+ - right_gripper_mode
433
+ shape:
434
+ - 2
435
+ dtype: int32
436
+ gripper_activity_state:
437
+ names:
438
+ - left_gripper_activity
439
+ - right_gripper_activity
440
+ shape:
441
+ - 2
442
+ dtype: int32
443
+ gripper_activity_action:
444
+ names:
445
+ - left_gripper_activity
446
+ - right_gripper_activity
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
+ dtype: float32
455
+ shape:
456
+ - 2
457
+ gripper_open_scale_action:
458
+ names:
459
+ - left_gripper_open_scale
460
+ - right_gripper_open_scale
461
+ dtype: float32
462
+ shape:
463
+ - 2
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_move_mouse_pen.yaml ADDED
@@ -0,0 +1,494 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_move_mouse_pen
24
+ dataset_uuid: 224d3efa-c5ca-4c0a-a618-a09ef6e5c67e
25
+ scene_type:
26
+ level1: office
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: deli_water-based_marker
36
+ - object_name: notebook
37
+ - object_name: mouse
38
+ - object_name: mouse_pad
39
+ - object_name: white_table_cloths
40
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
41
+ the operation type information.
42
+ task_instruction:
43
+ - Organize the pen on the notebook with the left gripper. Organize the mouse on the
44
+ mouse pad with the right gripper.
45
+ sub_tasks:
46
+ - subtask: Grasp the mouse with the left gripper.
47
+ subtask_index: 0
48
+ - subtask: Grasp the marker with the left gripper.
49
+ subtask_index: 1
50
+ - subtask: Grasp the mouse with the right gripper.
51
+ subtask_index: 2
52
+ - subtask: Place the mouse on the mouse pad with the right gripper.
53
+ subtask_index: 3
54
+ - subtask: Place the marker on the notebook with the right gripper.
55
+ subtask_index: 4
56
+ - subtask: Grasp the marker with the right gripper.
57
+ subtask_index: 5
58
+ - subtask: end.
59
+ subtask_index: 6
60
+ - subtask: Place the mouse on the mouse pad with the left gripper.
61
+ subtask_index: 7
62
+ - subtask: Place the marker on the notebook with the left gripper.
63
+ subtask_index: 8
64
+ - subtask: null.
65
+ subtask_index: 9
66
+ atomic_actions:
67
+ - grasp
68
+ - lift
69
+ - place
70
+ robot_name:
71
+ - Agilex_Cobot_Magic
72
+ end_effector_type: two_finger_end_effector
73
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
74
+ type information.
75
+ sensor_list:
76
+ - cam_head_rgb
77
+ - cam_left_wrist_rgb
78
+ - cam_right_wrist_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
+ depth_enabled: false
86
+ coordinate_definition: right-hand-frame
87
+ joint_rotation_dim: radian
88
+ end_translation_dim: meter
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: 30
99
+ total_frames: 22756
100
+ fps: 30
101
+ total_tasks: 10
102
+ total_videos: 90
103
+ total_chunks: 1
104
+ chunks_size: 1000
105
+ state_dim: 26
106
+ action_dim: 26
107
+ camera_views: 3
108
+ dataset_size: 276.67 MB
109
+ frame_num: 22756
110
+ frame_range: 100K
111
+ dataset_size: 276.67 MB
112
+ data_structure: 'Agilex_Cobot_Magic_move_mouse_pen_qced_hardlink/
113
+
114
+ |-- annotations
115
+
116
+ | |-- eef_acc_mag_annotation.jsonl
117
+
118
+ | |-- eef_direction_annotation.jsonl
119
+
120
+ | |-- eef_velocity_annotation.jsonl
121
+
122
+ | |-- gripper_activity_annotation.jsonl
123
+
124
+ | |-- gripper_mode_annotation.jsonl
125
+
126
+ | |-- scene_annotations.jsonl
127
+
128
+ | `-- subtask_annotations.jsonl
129
+
130
+ |-- data
131
+
132
+ | `-- chunk-000
133
+
134
+ | |-- episode_000000.parquet
135
+
136
+ | |-- episode_000001.parquet
137
+
138
+ | |-- episode_000002.parquet
139
+
140
+ | |-- episode_000003.parquet
141
+
142
+ | |-- episode_000004.parquet
143
+
144
+ | |-- episode_000005.parquet
145
+
146
+ | |-- episode_000006.parquet
147
+
148
+ | |-- episode_000007.parquet
149
+
150
+ | |-- episode_000008.parquet
151
+
152
+ | |-- episode_000009.parquet
153
+
154
+ | |-- episode_000010.parquet
155
+
156
+ | `-- episode_000011.parquet
157
+
158
+ | `-- ... (18 more entries)
159
+
160
+ |-- meta
161
+
162
+ | |-- episodes.jsonl
163
+
164
+ | |-- episodes_stats.jsonl
165
+
166
+ | |-- info.json
167
+
168
+ | `-- tasks.jsonl
169
+
170
+ |-- videos
171
+
172
+ | `-- chunk-000
173
+
174
+ | |-- observation.images.cam_head_rgb
175
+
176
+ | |-- observation.images.cam_left_wrist_rgb
177
+
178
+ | `-- observation.images.cam_right_wrist_rgb
179
+
180
+ |-- info.yaml
181
+
182
+ `-- README.md'
183
+ splits:
184
+ train: 0:29
185
+ features:
186
+ observation.images.cam_head_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.images.cam_left_wrist_rgb:
206
+ dtype: video
207
+ shape:
208
+ - 480
209
+ - 640
210
+ - 3
211
+ names:
212
+ - height
213
+ - width
214
+ - channels
215
+ info:
216
+ video.height: 480
217
+ video.width: 640
218
+ video.codec: av1
219
+ video.pix_fmt: yuv420p
220
+ video.is_depth_map: false
221
+ video.fps: 30
222
+ video.channels: 3
223
+ has_audio: false
224
+ observation.images.cam_right_wrist_rgb:
225
+ dtype: video
226
+ shape:
227
+ - 480
228
+ - 640
229
+ - 3
230
+ names:
231
+ - height
232
+ - width
233
+ - channels
234
+ info:
235
+ video.height: 480
236
+ video.width: 640
237
+ video.codec: av1
238
+ video.pix_fmt: yuv420p
239
+ video.is_depth_map: false
240
+ video.fps: 30
241
+ video.channels: 3
242
+ has_audio: false
243
+ observation.state:
244
+ dtype: float32
245
+ shape:
246
+ - 26
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
+ - left_gripper_open
255
+ - left_eef_pos_x_m
256
+ - left_eef_pos_y_m
257
+ - left_eef_pos_z_m
258
+ - left_eef_rot_euler_x_rad
259
+ - left_eef_rot_euler_y_rad
260
+ - left_eef_rot_euler_z_rad
261
+ - right_arm_joint_1_rad
262
+ - right_arm_joint_2_rad
263
+ - right_arm_joint_3_rad
264
+ - right_arm_joint_4_rad
265
+ - right_arm_joint_5_rad
266
+ - right_arm_joint_6_rad
267
+ - right_gripper_open
268
+ - right_eef_pos_x_m
269
+ - right_eef_pos_y_m
270
+ - right_eef_pos_z_m
271
+ - right_eef_rot_euler_x_rad
272
+ - right_eef_rot_euler_y_rad
273
+ - right_eef_rot_euler_z_rad
274
+ action:
275
+ dtype: float32
276
+ shape:
277
+ - 26
278
+ names:
279
+ - left_arm_joint_1_rad
280
+ - left_arm_joint_2_rad
281
+ - left_arm_joint_3_rad
282
+ - left_arm_joint_4_rad
283
+ - left_arm_joint_5_rad
284
+ - left_arm_joint_6_rad
285
+ - left_gripper_open
286
+ - left_eef_pos_x_m
287
+ - left_eef_pos_y_m
288
+ - left_eef_pos_z_m
289
+ - left_eef_rot_euler_x_rad
290
+ - left_eef_rot_euler_y_rad
291
+ - left_eef_rot_euler_z_rad
292
+ - right_arm_joint_1_rad
293
+ - right_arm_joint_2_rad
294
+ - right_arm_joint_3_rad
295
+ - right_arm_joint_4_rad
296
+ - right_arm_joint_5_rad
297
+ - right_arm_joint_6_rad
298
+ - right_gripper_open
299
+ - right_eef_pos_x_m
300
+ - right_eef_pos_y_m
301
+ - right_eef_pos_z_m
302
+ - right_eef_rot_euler_x_rad
303
+ - right_eef_rot_euler_y_rad
304
+ - right_eef_rot_euler_z_rad
305
+ timestamp:
306
+ dtype: float32
307
+ shape:
308
+ - 1
309
+ names: null
310
+ frame_index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ episode_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ index:
321
+ dtype: int64
322
+ shape:
323
+ - 1
324
+ names: null
325
+ task_index:
326
+ dtype: int64
327
+ shape:
328
+ - 1
329
+ names: null
330
+ subtask_annotation:
331
+ names: null
332
+ shape:
333
+ - 5
334
+ dtype: int32
335
+ scene_annotation:
336
+ names: null
337
+ shape:
338
+ - 1
339
+ dtype: int32
340
+ eef_sim_pose_state:
341
+ names:
342
+ - left_eef_pos_x
343
+ - left_eef_pos_y
344
+ - left_eef_pos_z
345
+ - left_eef_rot_x
346
+ - left_eef_rot_y
347
+ - left_eef_rot_z
348
+ - right_eef_pos_x
349
+ - right_eef_pos_y
350
+ - right_eef_pos_z
351
+ - right_eef_rot_x
352
+ - right_eef_rot_y
353
+ - right_eef_rot_z
354
+ shape:
355
+ - 12
356
+ dtype: float32
357
+ eef_sim_pose_action:
358
+ names:
359
+ - left_eef_pos_x
360
+ - left_eef_pos_y
361
+ - left_eef_pos_z
362
+ - left_eef_rot_x
363
+ - left_eef_rot_y
364
+ - left_eef_rot_z
365
+ - right_eef_pos_x
366
+ - right_eef_pos_y
367
+ - right_eef_pos_z
368
+ - right_eef_rot_x
369
+ - right_eef_rot_y
370
+ - right_eef_rot_z
371
+ shape:
372
+ - 12
373
+ dtype: float32
374
+ eef_direction_state:
375
+ names:
376
+ - left_eef_direction
377
+ - right_eef_direction
378
+ shape:
379
+ - 2
380
+ dtype: int32
381
+ eef_direction_action:
382
+ names:
383
+ - left_eef_direction
384
+ - right_eef_direction
385
+ shape:
386
+ - 2
387
+ dtype: int32
388
+ eef_velocity_state:
389
+ names:
390
+ - left_eef_velocity
391
+ - right_eef_velocity
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_velocity_action:
396
+ names:
397
+ - left_eef_velocity
398
+ - right_eef_velocity
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ eef_acc_mag_state:
403
+ names:
404
+ - left_eef_acc_mag
405
+ - right_eef_acc_mag
406
+ shape:
407
+ - 2
408
+ dtype: int32
409
+ eef_acc_mag_action:
410
+ names:
411
+ - left_eef_acc_mag
412
+ - right_eef_acc_mag
413
+ shape:
414
+ - 2
415
+ dtype: int32
416
+ gripper_mode_state:
417
+ names:
418
+ - left_gripper_mode
419
+ - right_gripper_mode
420
+ shape:
421
+ - 2
422
+ dtype: int32
423
+ gripper_mode_action:
424
+ names:
425
+ - left_gripper_mode
426
+ - right_gripper_mode
427
+ shape:
428
+ - 2
429
+ dtype: int32
430
+ gripper_activity_state:
431
+ names:
432
+ - left_gripper_activity
433
+ - right_gripper_activity
434
+ shape:
435
+ - 2
436
+ dtype: int32
437
+ gripper_activity_action:
438
+ names:
439
+ - left_gripper_activity
440
+ - right_gripper_activity
441
+ shape:
442
+ - 2
443
+ dtype: int32
444
+ gripper_open_scale_state:
445
+ names:
446
+ - left_gripper_open_scale
447
+ - right_gripper_open_scale
448
+ dtype: float32
449
+ shape:
450
+ - 2
451
+ gripper_open_scale_action:
452
+ names:
453
+ - left_gripper_open_scale
454
+ - right_gripper_open_scale
455
+ dtype: float32
456
+ shape:
457
+ - 2
458
+ authors:
459
+ contributed_by:
460
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
461
+ dataset_description: This dataset uses an extended format based on LeRobot and is
462
+ fully compatible with LeRobot.
463
+ homepage: https://flagopen.github.io/RoboCOIN/
464
+ paper: https://arxiv.org/abs/2511.17441
465
+ repository: https://github.com/FlagOpen/RoboCOIN
466
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
467
+ us.
468
+ support_info: For technical support, please open an issue on our GitHub repository.
469
+ license_details: apache-2.0
470
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
471
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
472
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
473
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
474
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
475
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
476
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
477
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
478
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
479
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
480
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
481
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
482
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
483
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
484
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
485
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
486
+ additional_citations: 'If you use this dataset, please also consider citing:
487
+
488
+ LeRobot Framework: https://github.com/huggingface/lerobot
489
+
490
+ '
491
+ version_info: Initial Release
492
+ data_path: data/chunk-{id}/episode_{id}.parquet
493
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
494
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4