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Update RoboCOIN assets

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  1. dataset_info/Agilex_Cobot_Magic_classify_objects_eight.yaml +771 -0
  2. dataset_info/Agilex_Cobot_Magic_close_drawer_top.yaml +502 -0
  3. dataset_info/Agilex_Cobot_Magic_storage_object.yaml +1098 -0
  4. dataset_info/Agilex_Cobot_Magic_storage_object_closest_apple.yaml +561 -0
  5. dataset_info/Airbot_MMK2_move_book_front.yaml +468 -107
  6. dataset_info/Airbot_MMK2_stack_bowl.yaml +486 -0
  7. dataset_info/Airbot_MMK2_storage_block_BBs.yaml +499 -0
  8. dataset_info/Airbot_MMK2_storage_block_tape_measure.yaml +509 -0
  9. dataset_info/Airbot_MMK2_storage_bowl_wet_wipes.yaml +474 -113
  10. dataset_info/Airbot_MMK2_storage_braised_pork_belly_shrimp.yaml +473 -112
  11. dataset_info/Airbot_MMK2_storage_cake_cup.yaml +496 -0
  12. dataset_info/Galaxea_R1_Lite_arrange_baai_then_brain.yaml +495 -0
  13. dataset_info/Galaxea_R1_Lite_change_baai_into_brain.yaml +484 -0
  14. dataset_info/Galaxea_R1_Lite_fold_towel_twice.yaml +520 -0
  15. dataset_info/Galaxea_R1_Lite_mix_blue_yellow_left_large_test_tube.yaml +520 -0
  16. dataset_info/Galaxea_R1_Lite_mix_blue_yellow_right.yaml +540 -0
  17. dataset_info/Galaxea_R1_Lite_mix_color_small_test_tube.yaml +532 -0
  18. dataset_info/Galaxea_R1_Lite_mix_red_blue_large_test_tube.yaml +528 -0
  19. dataset_info/Galaxea_R1_Lite_mix_red_blue_left_large_test_tube.yaml +520 -0
  20. dataset_info/Galaxea_R1_Lite_mix_red_blue_right.yaml +536 -0
  21. dataset_info/Galaxea_R1_Lite_mix_red_yellow_large_test_tube.yaml +528 -0
  22. dataset_info/Galaxea_R1_Lite_mix_red_yellow_left_large_test_tube.yaml +520 -0
  23. dataset_info/Galaxea_R1_Lite_mix_red_yellow_right.yaml +534 -0
  24. dataset_info/Galaxea_R1_Lite_move_mouse.yaml +489 -0
  25. dataset_info/Galaxea_R1_Lite_pour_solid_marble_bar_counter.yaml +533 -0
  26. dataset_info/Galaxea_R1_Lite_toggle_drawer_red.yaml +502 -0
  27. dataset_info/agilex_cobot_magic_pass_object_left_to_right_khaki_tablecloth.yaml +674 -0
  28. dataset_info/agilex_cobot_magic_pass_object_right_to_left_black_tablecloth.yaml +650 -0
  29. dataset_info/agilex_cobot_magic_pass_object_right_to_left_green_tablecloth.yaml +726 -0
  30. dataset_info/agilex_cobot_magic_pass_object_right_to_left_khaki_tablecloth.yaml +582 -0
  31. info/consolidated_datasets.json +0 -0
  32. info/data_index.json +28 -1
  33. thumbnails/Agilex_Cobot_Magic_classify_objects_eight.jpg +3 -0
  34. thumbnails/Agilex_Cobot_Magic_close_drawer_top.jpg +3 -0
  35. thumbnails/Agilex_Cobot_Magic_storage_object.jpg +3 -0
  36. thumbnails/Agilex_Cobot_Magic_storage_object_closest_apple.jpg +3 -0
  37. thumbnails/Airbot_MMK2_move_book_front.jpg +2 -2
  38. thumbnails/Airbot_MMK2_stack_bowl.jpg +3 -0
  39. thumbnails/Airbot_MMK2_storage_block_BBs.jpg +3 -0
  40. thumbnails/Airbot_MMK2_storage_block_tape_measure.jpg +3 -0
  41. thumbnails/Airbot_MMK2_storage_bowl_wet_wipes.jpg +2 -2
  42. thumbnails/Airbot_MMK2_storage_braised_pork_belly_shrimp.jpg +2 -2
  43. thumbnails/Airbot_MMK2_storage_cake_cup.jpg +3 -0
  44. thumbnails/Galaxea_R1_Lite_arrange_baai_then_brain.jpg +3 -0
  45. thumbnails/Galaxea_R1_Lite_change_baai_into_brain.jpg +3 -0
  46. thumbnails/Galaxea_R1_Lite_fold_towel_twice.jpg +3 -0
  47. thumbnails/Galaxea_R1_Lite_mix_blue_yellow_left_large_test_tube.jpg +3 -0
  48. thumbnails/Galaxea_R1_Lite_mix_blue_yellow_right.jpg +3 -0
  49. thumbnails/Galaxea_R1_Lite_mix_color_small_test_tube.jpg +3 -0
  50. thumbnails/Galaxea_R1_Lite_mix_red_blue_large_test_tube.jpg +3 -0
dataset_info/Agilex_Cobot_Magic_classify_objects_eight.yaml ADDED
@@ -0,0 +1,771 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: brown_basket
41
+ level1: home_storage
42
+ level2: brown_basket
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: black_basket
47
+ level1: food
48
+ level2: black_basket
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: bread
53
+ level1: food
54
+ level2: bread
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: orange
59
+ level1: food
60
+ level2: orange
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: green_lemon
65
+ level1: food
66
+ level2: green_lemon
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: pink_clear_plastic_cup
71
+ level1: kitchen_supplies
72
+ level2: pink_clear_plastic_cup
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: laundry_detergent
77
+ level1: daily_necessities
78
+ level2: laundry_detergent
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: mentholatum_facial_cleanser
83
+ level1: daily_necessities
84
+ level2: Mmentholatum_facial_cleanser
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: lemon
89
+ level1: food
90
+ level2: lemon
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: apple
95
+ level1: food
96
+ level2: apple
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: mango
101
+ level1: food
102
+ level2: mango
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: kiwi_fruit
107
+ level1: food
108
+ level2: kiwi_fruit
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: mangosteen
113
+ level1: food
114
+ level2: mangosteen
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: pear
119
+ level1: food
120
+ level2: pear
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: avocado
125
+ level1: food
126
+ level2: avocado
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: brown_clear_plastic_cup
131
+ level1: kitchen_supplies
132
+ level2: brown_clear_plastic_cup
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: shampoo
137
+ level1: daily_necessities
138
+ level2: shampoo
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ - object_name: deli Water-based_Marker
143
+ level1: stationery
144
+ level2: deli_Water-based_Marker
145
+ level3: null
146
+ level4: null
147
+ level5: null
148
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
149
+ the operation type information.
150
+ task_instruction:
151
+ - Place multiple objects separately in different baskets.
152
+ sub_tasks:
153
+ - subtask: Place the pear in the light basket with right gripper
154
+ subtask_index: 0
155
+ - subtask: Pick up the shampoo with left gripper
156
+ subtask_index: 1
157
+ - subtask: Place the pink marker pen in the dark basket with right gripper
158
+ subtask_index: 2
159
+ - subtask: Pick up the pear with left gripper
160
+ subtask_index: 3
161
+ - subtask: Place the lime in the light basket with right gripper
162
+ subtask_index: 4
163
+ - subtask: Place the laundry detergent in the dark basket with right gripper
164
+ subtask_index: 5
165
+ - subtask: Place the mango in the light basket with right gripper
166
+ subtask_index: 6
167
+ - subtask: Pick up the light brown cup with left gripper
168
+ subtask_index: 7
169
+ - subtask: Place the orange in the light basket with right gripper
170
+ subtask_index: 8
171
+ - subtask: Pick up the dark brown cup with left gripper
172
+ subtask_index: 9
173
+ - subtask: Place the dark brown cup in the dark basket with left gripper
174
+ subtask_index: 10
175
+ - subtask: Pick up the light brown cup with right gripper
176
+ subtask_index: 11
177
+ - subtask: Pick up pink marker pen with right gripper
178
+ subtask_index: 12
179
+ - subtask: Pick up the lime with left gripper
180
+ subtask_index: 13
181
+ - subtask: Pick up kiwi with left gripper
182
+ subtask_index: 14
183
+ - subtask: Pick up mango with left gripper
184
+ subtask_index: 15
185
+ - subtask: Place the shampoo in the dark basket with right gripper
186
+ subtask_index: 16
187
+ - subtask: Place the dark brown cup in the dark basket with right gripper
188
+ subtask_index: 17
189
+ - subtask: Pick up the pomegranate with right gripper
190
+ subtask_index: 18
191
+ - subtask: Pick up the pear with right gripper
192
+ subtask_index: 19
193
+ - subtask: Pick up the dark brown cup with right gripper
194
+ subtask_index: 20
195
+ - subtask: Pick up the red cup with right gripper
196
+ subtask_index: 21
197
+ - subtask: Place the pomegranate in the light basket with left gripper
198
+ subtask_index: 22
199
+ - subtask: Pick up the avocado with right gripper
200
+ subtask_index: 23
201
+ - subtask: Pick up the hard facial cleanser with left gripper
202
+ subtask_index: 24
203
+ - subtask: Place the Incense box in the dark basket with left gripper
204
+ subtask_index: 25
205
+ - subtask: Pick up the shampoo with right gripper
206
+ subtask_index: 26
207
+ - subtask: Place the banana in the light basket with right gripper
208
+ subtask_index: 27
209
+ - subtask: Place the laundry detergent in the dark basket with left gripper
210
+ subtask_index: 28
211
+ - subtask: Pick up the orange with right gripper
212
+ subtask_index: 29
213
+ - subtask: Place the mangosteen in the light basket with right gripper
214
+ subtask_index: 30
215
+ - subtask: Place the hard facial cleanser in the dark basket with right gripper
216
+ subtask_index: 31
217
+ - subtask: Pick up Incense box with right gripper
218
+ subtask_index: 32
219
+ - subtask: Place the red marker in the dark basket with right gripper
220
+ subtask_index: 33
221
+ - subtask: Pick up the lemon with left gripper
222
+ subtask_index: 34
223
+ - subtask: Place the banana in the light basket with left gripper
224
+ subtask_index: 35
225
+ - subtask: Pick up Incense box with left gripper
226
+ subtask_index: 36
227
+ - subtask: Pick up kiwi with right gripper
228
+ subtask_index: 37
229
+ - subtask: Pick up the mango with right gripper
230
+ subtask_index: 38
231
+ - subtask: Place the lemon in the light basket with left gripper
232
+ subtask_index: 39
233
+ - subtask: Pick up the laundry detergent with left gripper
234
+ subtask_index: 40
235
+ - subtask: Pick up toothpaste with right gripper
236
+ subtask_index: 41
237
+ - subtask: Pick up the bread with right gripper
238
+ subtask_index: 42
239
+ - subtask: Pick up toothpaste with left gripper
240
+ subtask_index: 43
241
+ - subtask: Place the red cup in the dark basket with left gripper
242
+ subtask_index: 44
243
+ - subtask: Place the red cup in the dark basket with right gripper
244
+ subtask_index: 45
245
+ - subtask: Place the lemon in the light basket with right gripper
246
+ subtask_index: 46
247
+ - subtask: Pick up banana with left gripper
248
+ subtask_index: 47
249
+ - subtask: Place the avocado in the light basket with right gripper
250
+ subtask_index: 48
251
+ - subtask: Pick up egg yolk pastry with left gripper
252
+ subtask_index: 49
253
+ - subtask: Place the light brown cup in the dark basket with left gripper
254
+ subtask_index: 50
255
+ - subtask: Pick up egg yolk pastry with right gripper
256
+ subtask_index: 51
257
+ - subtask: Place the orange in the light basket with left gripper
258
+ subtask_index: 52
259
+ - subtask: Place the hard facial cleanser in the dark basket with left gripper
260
+ subtask_index: 53
261
+ - subtask: Pick up the lemon with right gripper
262
+ subtask_index: 54
263
+ - subtask: Place the kiwi in the light basket with right gripper
264
+ subtask_index: 55
265
+ - subtask: End
266
+ subtask_index: 56
267
+ - subtask: Pick up gray cup with left gripper
268
+ subtask_index: 57
269
+ - subtask: Place the pomegranate in the light basket with right gripper
270
+ subtask_index: 58
271
+ - subtask: Pick up banana with right gripper
272
+ subtask_index: 59
273
+ - subtask: Place the blackboard eraser in the dark basket with left gripper
274
+ subtask_index: 60
275
+ - subtask: Pick up the red marker with right gripper
276
+ subtask_index: 61
277
+ - subtask: Place the red marker in the dark basket with left gripper
278
+ subtask_index: 62
279
+ - subtask: Place the gray cup in the dark basket with left gripper
280
+ subtask_index: 63
281
+ - subtask: Pick up the red cup with left gripper
282
+ subtask_index: 64
283
+ - subtask: Place the kiwi in the light basket with left gripper
284
+ subtask_index: 65
285
+ - subtask: Pick up the mangosteen with left gripper
286
+ subtask_index: 66
287
+ - subtask: Pick up the orange with left gripper
288
+ subtask_index: 67
289
+ - subtask: Place the mangosteen in the light basket with left gripper
290
+ subtask_index: 68
291
+ - subtask: Place the bread in the light basket with right gripper
292
+ subtask_index: 69
293
+ - subtask: Place the toothpaste in the dark basket with right gripper
294
+ subtask_index: 70
295
+ - subtask: Pick up the lime with right gripper
296
+ subtask_index: 71
297
+ - subtask: Place the mango in the light basket with left gripper
298
+ subtask_index: 72
299
+ - subtask: Pick up the mangosteen with right gripper
300
+ subtask_index: 73
301
+ - subtask: Place the pink marker pen in the dark basket with left gripper
302
+ subtask_index: 74
303
+ - subtask: Pick up the red marker with left gripper
304
+ subtask_index: 75
305
+ - subtask: Place the pear in the light basket with left gripper
306
+ subtask_index: 76
307
+ - subtask: Pick up blackboard eraser with right gripper
308
+ subtask_index: 77
309
+ - subtask: Place the blackboard eraser in the dark basket with right gripper
310
+ subtask_index: 78
311
+ - subtask: Place the shampoo in the dark basket with left gripper
312
+ subtask_index: 79
313
+ - subtask: Place the egg yolk pastry in the light basket with left gripper
314
+ subtask_index: 80
315
+ - subtask: Pick up the pomegranate with left gripper
316
+ subtask_index: 81
317
+ - subtask: Place the toothpaste in the dark basket with left gripper
318
+ subtask_index: 82
319
+ - subtask: Pick up blackboard eraser with left gripper
320
+ subtask_index: 83
321
+ - subtask: Place the Incense box in the dark basket with right gripper
322
+ subtask_index: 84
323
+ - subtask: Pick up the hard facial cleanser with right gripper
324
+ subtask_index: 85
325
+ - subtask: Place the apple in the light basket with right gripper
326
+ subtask_index: 86
327
+ - subtask: Place the avocado in the light basket with left gripper
328
+ subtask_index: 87
329
+ - subtask: Pick up pink marker pen with left gripper
330
+ subtask_index: 88
331
+ - subtask: Pick up the avocado with left gripper
332
+ subtask_index: 89
333
+ - subtask: Pick up the laundry detergent with right gripper
334
+ subtask_index: 90
335
+ - subtask: Place the egg yolk pastry in the light basket with right gripper
336
+ subtask_index: 91
337
+ - subtask: Pick up the apple with right gripper
338
+ subtask_index: 92
339
+ - subtask: Place the lime in the light basket with left gripper
340
+ subtask_index: 93
341
+ - subtask: 'null'
342
+ subtask_index: 94
343
+ atomic_actions:
344
+ - grasp
345
+ - lift
346
+ - lower
347
+ robot_name:
348
+ - Agilex_Cobot_Magic
349
+ end_effector_type: two_finger_gripper
350
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
351
+ type information.
352
+ sensor_list:
353
+ - cam_head_rgb
354
+ - cam_left_wrist_rgb
355
+ - cam_right_wrist_rgb
356
+ came_info:
357
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
358
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
359
+ pix_fmt=yuv420p
360
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
361
+ pix_fmt=yuv420p
362
+ depth_enabled: false
363
+ coordinate_definition: right-hand-frame
364
+ joint_rotation_dim: radian
365
+ end_rotation_dim: radian
366
+ end_translation_dim: meter
367
+ annotations:
368
+ - eef_acc_mag_annotation.jsonl
369
+ - eef_direction_annotation.jsonl
370
+ - eef_velocity_annotation.jsonl
371
+ - gripper_activity_annotation.jsonl
372
+ - gripper_mode_annotation.jsonl
373
+ - scene_annotations.jsonl
374
+ - subtask_annotations.jsonl
375
+ statistics:
376
+ total_episodes: 197
377
+ total_frames: 337837
378
+ fps: 30
379
+ total_tasks: 95
380
+ total_videos: 591
381
+ total_chunks: 1
382
+ chunks_size: 1000
383
+ state_dim: 26
384
+ action_dim: 26
385
+ camera_views: 3
386
+ dataset_size: 4.51 GB
387
+ frame_num: 337837
388
+ dataset_size: 4.51 GB
389
+ data_structure: 'Agilex_Cobot_Magic_classify_objects_eight_qced_hardlink/
390
+
391
+ |-- annotations
392
+
393
+ | |-- eef_acc_mag_annotation.jsonl
394
+
395
+ | |-- eef_direction_annotation.jsonl
396
+
397
+ | |-- eef_velocity_annotation.jsonl
398
+
399
+ | |-- gripper_activity_annotation.jsonl
400
+
401
+ | |-- gripper_mode_annotation.jsonl
402
+
403
+ | |-- scene_annotations.jsonl
404
+
405
+ | `-- subtask_annotations.jsonl
406
+
407
+ |-- data
408
+
409
+ | `-- chunk-000
410
+
411
+ | |-- episode_000000.parquet
412
+
413
+ | |-- episode_000001.parquet
414
+
415
+ | |-- episode_000002.parquet
416
+
417
+ | |-- episode_000003.parquet
418
+
419
+ | |-- episode_000004.parquet
420
+
421
+ | |-- episode_000005.parquet
422
+
423
+ | |-- episode_000006.parquet
424
+
425
+ | |-- episode_000007.parquet
426
+
427
+ | |-- episode_000008.parquet
428
+
429
+ | |-- episode_000009.parquet
430
+
431
+ | |-- episode_000010.parquet
432
+
433
+ | `-- episode_000011.parquet
434
+
435
+ | `-- ... (185 more entries)
436
+
437
+ |-- meta
438
+
439
+ | |-- episodes.jsonl
440
+
441
+ | |-- episodes_stats.jsonl
442
+
443
+ | |-- info.json
444
+
445
+ | `-- tasks.jsonl
446
+
447
+ |-- videos
448
+
449
+ | `-- chunk-000
450
+
451
+ | |-- observation.images.cam_head_rgb
452
+
453
+ | |-- observation.images.cam_left_wrist_rgb
454
+
455
+ | `-- observation.images.cam_right_wrist_rgb
456
+
457
+ |-- info.yaml
458
+
459
+ `-- README.md'
460
+ splits:
461
+ train: 0:196
462
+ features:
463
+ observation.images.cam_head_rgb:
464
+ dtype: video
465
+ shape:
466
+ - 480
467
+ - 640
468
+ - 3
469
+ names:
470
+ - height
471
+ - width
472
+ - channels
473
+ info:
474
+ video.height: 480
475
+ video.width: 640
476
+ video.codec: av1
477
+ video.pix_fmt: yuv420p
478
+ video.is_depth_map: false
479
+ video.fps: 30
480
+ video.channels: 3
481
+ has_audio: false
482
+ observation.images.cam_left_wrist_rgb:
483
+ dtype: video
484
+ shape:
485
+ - 480
486
+ - 640
487
+ - 3
488
+ names:
489
+ - height
490
+ - width
491
+ - channels
492
+ info:
493
+ video.height: 480
494
+ video.width: 640
495
+ video.codec: av1
496
+ video.pix_fmt: yuv420p
497
+ video.is_depth_map: false
498
+ video.fps: 30
499
+ video.channels: 3
500
+ has_audio: false
501
+ observation.images.cam_right_wrist_rgb:
502
+ dtype: video
503
+ shape:
504
+ - 480
505
+ - 640
506
+ - 3
507
+ names:
508
+ - height
509
+ - width
510
+ - channels
511
+ info:
512
+ video.height: 480
513
+ video.width: 640
514
+ video.codec: av1
515
+ video.pix_fmt: yuv420p
516
+ video.is_depth_map: false
517
+ video.fps: 30
518
+ video.channels: 3
519
+ has_audio: false
520
+ observation.state:
521
+ dtype: float32
522
+ shape:
523
+ - 26
524
+ names:
525
+ - left_arm_joint_1_rad
526
+ - left_arm_joint_2_rad
527
+ - left_arm_joint_3_rad
528
+ - left_arm_joint_4_rad
529
+ - left_arm_joint_5_rad
530
+ - left_arm_joint_6_rad
531
+ - left_gripper_open
532
+ - left_eef_pos_x_m
533
+ - left_eef_pos_y_m
534
+ - left_eef_pos_z_m
535
+ - left_eef_rot_euler_x_rad
536
+ - left_eef_rot_euler_y_rad
537
+ - left_eef_rot_euler_z_rad
538
+ - right_arm_joint_1_rad
539
+ - right_arm_joint_2_rad
540
+ - right_arm_joint_3_rad
541
+ - right_arm_joint_4_rad
542
+ - right_arm_joint_5_rad
543
+ - right_arm_joint_6_rad
544
+ - right_gripper_open
545
+ - right_eef_pos_x_m
546
+ - right_eef_pos_y_m
547
+ - right_eef_pos_z_m
548
+ - right_eef_rot_euler_x_rad
549
+ - right_eef_rot_euler_y_rad
550
+ - right_eef_rot_euler_z_rad
551
+ action:
552
+ dtype: float32
553
+ shape:
554
+ - 26
555
+ names:
556
+ - left_arm_joint_1_rad
557
+ - left_arm_joint_2_rad
558
+ - left_arm_joint_3_rad
559
+ - left_arm_joint_4_rad
560
+ - left_arm_joint_5_rad
561
+ - left_arm_joint_6_rad
562
+ - left_gripper_open
563
+ - left_eef_pos_x_m
564
+ - left_eef_pos_y_m
565
+ - left_eef_pos_z_m
566
+ - left_eef_rot_euler_x_rad
567
+ - left_eef_rot_euler_y_rad
568
+ - left_eef_rot_euler_z_rad
569
+ - right_arm_joint_1_rad
570
+ - right_arm_joint_2_rad
571
+ - right_arm_joint_3_rad
572
+ - right_arm_joint_4_rad
573
+ - right_arm_joint_5_rad
574
+ - right_arm_joint_6_rad
575
+ - right_gripper_open
576
+ - right_eef_pos_x_m
577
+ - right_eef_pos_y_m
578
+ - right_eef_pos_z_m
579
+ - right_eef_rot_euler_x_rad
580
+ - right_eef_rot_euler_y_rad
581
+ - right_eef_rot_euler_z_rad
582
+ timestamp:
583
+ dtype: float32
584
+ shape:
585
+ - 1
586
+ names: null
587
+ frame_index:
588
+ dtype: int64
589
+ shape:
590
+ - 1
591
+ names: null
592
+ episode_index:
593
+ dtype: int64
594
+ shape:
595
+ - 1
596
+ names: null
597
+ index:
598
+ dtype: int64
599
+ shape:
600
+ - 1
601
+ names: null
602
+ task_index:
603
+ dtype: int64
604
+ shape:
605
+ - 1
606
+ names: null
607
+ subtask_annotation:
608
+ names: null
609
+ dtype: int32
610
+ shape:
611
+ - 5
612
+ scene_annotation:
613
+ names: null
614
+ dtype: int32
615
+ shape:
616
+ - 1
617
+ eef_sim_pose_state:
618
+ names:
619
+ - left_eef_pos_x
620
+ - left_eef_pos_y
621
+ - left_eef_pos_z
622
+ - left_eef_rot_x
623
+ - left_eef_rot_y
624
+ - left_eef_rot_z
625
+ - right_eef_pos_x
626
+ - right_eef_pos_y
627
+ - right_eef_pos_z
628
+ - right_eef_rot_x
629
+ - right_eef_rot_y
630
+ - right_eef_rot_z
631
+ dtype: float32
632
+ shape:
633
+ - 12
634
+ eef_sim_pose_action:
635
+ names:
636
+ - left_eef_pos_x
637
+ - left_eef_pos_y
638
+ - left_eef_pos_z
639
+ - left_eef_rot_x
640
+ - left_eef_rot_y
641
+ - left_eef_rot_z
642
+ - right_eef_pos_x
643
+ - right_eef_pos_y
644
+ - right_eef_pos_z
645
+ - right_eef_rot_x
646
+ - right_eef_rot_y
647
+ - right_eef_rot_z
648
+ dtype: float32
649
+ shape:
650
+ - 12
651
+ eef_direction_state:
652
+ names:
653
+ - left_eef_direction
654
+ - right_eef_direction
655
+ dtype: int32
656
+ shape:
657
+ - 2
658
+ eef_direction_action:
659
+ names:
660
+ - left_eef_direction
661
+ - right_eef_direction
662
+ dtype: int32
663
+ shape:
664
+ - 2
665
+ eef_velocity_state:
666
+ names:
667
+ - left_eef_velocity
668
+ - right_eef_velocity
669
+ dtype: int32
670
+ shape:
671
+ - 2
672
+ eef_velocity_action:
673
+ names:
674
+ - left_eef_velocity
675
+ - right_eef_velocity
676
+ dtype: int32
677
+ shape:
678
+ - 2
679
+ eef_acc_mag_state:
680
+ names:
681
+ - left_eef_acc_mag
682
+ - right_eef_acc_mag
683
+ dtype: int32
684
+ shape:
685
+ - 2
686
+ eef_acc_mag_action:
687
+ names:
688
+ - left_eef_acc_mag
689
+ - right_eef_acc_mag
690
+ dtype: int32
691
+ shape:
692
+ - 2
693
+ gripper_mode_state:
694
+ names:
695
+ - left_gripper_mode
696
+ - right_gripper_mode
697
+ dtype: int32
698
+ shape:
699
+ - 2
700
+ gripper_mode_action:
701
+ names:
702
+ - left_gripper_mode
703
+ - right_gripper_mode
704
+ dtype: int32
705
+ shape:
706
+ - 2
707
+ gripper_activity_state:
708
+ names:
709
+ - left_gripper_activity
710
+ - right_gripper_activity
711
+ dtype: int32
712
+ shape:
713
+ - 2
714
+ gripper_activity_action:
715
+ names:
716
+ - left_gripper_activity
717
+ - right_gripper_activity
718
+ dtype: int32
719
+ shape:
720
+ - 2
721
+ gripper_open_scale_state:
722
+ names:
723
+ - left_gripper_open_scale
724
+ - right_gripper_open_scale
725
+ dtype: float32
726
+ shape:
727
+ - 2
728
+ gripper_open_scale_action:
729
+ names:
730
+ - left_gripper_open_scale
731
+ - right_gripper_open_scale
732
+ dtype: float32
733
+ shape:
734
+ - 2
735
+ authors:
736
+ contributed_by:
737
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
738
+ dataset_description: This dataset uses an extended format based on LeRobot and is
739
+ fully compatible with LeRobot.
740
+ homepage: https://flagopen.github.io/RoboCOIN/
741
+ paper: https://arxiv.org/abs/2511.17441
742
+ repository: https://github.com/FlagOpen/RoboCOIN
743
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
744
+ us.
745
+ support_info: For technical support, please open an issue on our GitHub repository.
746
+ license_details: apache-2.0
747
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
748
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
749
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
750
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
751
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
752
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
753
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
754
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
755
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
756
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
757
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
758
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
759
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
760
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
761
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
762
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
763
+ additional_citations: 'If you use this dataset, please also consider citing:
764
+
765
+ LeRobot Framework: https://github.com/huggingface/lerobot
766
+
767
+ '
768
+ version_info: Initial Release
769
+ data_path: data/chunk-{id}/episode_{id}.parquet
770
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
771
+ 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 +1,502 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_close_drawer_top
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: three_layer_transparent_drawer
41
+ level1: laboratory_supplies
42
+ level2: three_layer_transparent_drawer
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - close the top drawer.
50
+ sub_tasks:
51
+ - subtask: End
52
+ subtask_index: 0
53
+ - subtask: Push the top drawer closed
54
+ subtask_index: 1
55
+ - subtask: Use the right gripper to touch the topmost layer of the storage cabinet
56
+ subtask_index: 2
57
+ - subtask: 'null'
58
+ subtask_index: 3
59
+ atomic_actions:
60
+ - grasp
61
+ - push
62
+ robot_name:
63
+ - Agilex_Cobot_Magic
64
+ end_effector_type: two_finger_gripper
65
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
66
+ type information.
67
+ sensor_list:
68
+ - cam_head_rgb
69
+ - cam_left_wrist_rgb
70
+ - cam_right_wrist_rgb
71
+ came_info:
72
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
73
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
74
+ pix_fmt=yuv420p
75
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
76
+ pix_fmt=yuv420p
77
+ depth_enabled: false
78
+ coordinate_definition: right-hand-frame
79
+ joint_rotation_dim: radian
80
+ end_rotation_dim: radian
81
+ end_translation_dim: meter
82
+ annotations:
83
+ - eef_acc_mag_annotation.jsonl
84
+ - eef_direction_annotation.jsonl
85
+ - eef_velocity_annotation.jsonl
86
+ - gripper_activity_annotation.jsonl
87
+ - gripper_mode_annotation.jsonl
88
+ - scene_annotations.jsonl
89
+ - subtask_annotations.jsonl
90
+ statistics:
91
+ total_episodes: 50
92
+ total_frames: 9800
93
+ fps: 30
94
+ total_tasks: 4
95
+ total_videos: 150
96
+ total_chunks: 1
97
+ chunks_size: 1000
98
+ state_dim: 26
99
+ action_dim: 26
100
+ camera_views: 3
101
+ dataset_size: 96.54 MB
102
+ frame_num: 9800
103
+ dataset_size: 96.54 MB
104
+ data_structure: 'Agilex_Cobot_Magic_close_drawer_top_qced_hardlink/
105
+
106
+ |-- annotations
107
+
108
+ | |-- eef_acc_mag_annotation.jsonl
109
+
110
+ | |-- eef_direction_annotation.jsonl
111
+
112
+ | |-- eef_velocity_annotation.jsonl
113
+
114
+ | |-- gripper_activity_annotation.jsonl
115
+
116
+ | |-- gripper_mode_annotation.jsonl
117
+
118
+ | |-- scene_annotations.jsonl
119
+
120
+ | `-- subtask_annotations.jsonl
121
+
122
+ |-- backup
123
+
124
+ | |-- data
125
+
126
+ | | `-- chunk-000
127
+
128
+ | `-- meta
129
+
130
+ | |-- episodes.jsonl
131
+
132
+ | |-- episodes_stats.jsonl
133
+
134
+ | |-- info.json
135
+
136
+ | `-- tasks.jsonl
137
+
138
+ |-- data
139
+
140
+ | `-- chunk-000
141
+
142
+ | |-- episode_000000.parquet
143
+
144
+ | |-- episode_000001.parquet
145
+
146
+ | |-- episode_000002.parquet
147
+
148
+ | |-- episode_000003.parquet
149
+
150
+ | |-- episode_000004.parquet
151
+
152
+ | |-- episode_000005.parquet
153
+
154
+ | |-- episode_000006.parquet
155
+
156
+ | |-- episode_000007.parquet
157
+
158
+ | |-- episode_000008.parquet
159
+
160
+ | |-- episode_000009.parquet
161
+
162
+ | |-- episode_000010.parquet
163
+
164
+ | `-- episode_000011.parquet
165
+
166
+ | `-- ... (38 more entries)
167
+
168
+ |-- meta
169
+
170
+ | |-- episodes.jsonl
171
+
172
+ | |-- episodes_stats.jsonl
173
+
174
+ | |-- info.json
175
+
176
+ | `-- tasks.jsonl
177
+
178
+ |-- videos
179
+
180
+ | `-- chunk-000
181
+
182
+ | |-- observation.images.cam_head_rgb
183
+
184
+ | |-- observation.images.cam_left_wrist_rgb
185
+
186
+ | `-- observation.images.cam_right_wrist_rgb
187
+
188
+ |-- info.yaml
189
+
190
+ `-- README.md'
191
+ splits:
192
+ train: 0:49
193
+ features:
194
+ observation.images.cam_head_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.images.cam_left_wrist_rgb:
214
+ dtype: video
215
+ shape:
216
+ - 480
217
+ - 640
218
+ - 3
219
+ names:
220
+ - height
221
+ - width
222
+ - channels
223
+ info:
224
+ video.height: 480
225
+ video.width: 640
226
+ video.codec: av1
227
+ video.pix_fmt: yuv420p
228
+ video.is_depth_map: false
229
+ video.fps: 30
230
+ video.channels: 3
231
+ has_audio: false
232
+ observation.images.cam_right_wrist_rgb:
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+ dtype: video
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+ shape:
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+ - 480
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+ - 640
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+ - 3
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+ names:
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+ - height
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+ - width
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+ - channels
242
+ info:
243
+ video.height: 480
244
+ video.width: 640
245
+ video.codec: av1
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+ video.pix_fmt: yuv420p
247
+ video.is_depth_map: false
248
+ video.fps: 30
249
+ video.channels: 3
250
+ has_audio: false
251
+ observation.state:
252
+ dtype: float32
253
+ shape:
254
+ - 26
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+ names:
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+ - left_arm_joint_1_rad
257
+ - left_arm_joint_2_rad
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+ - left_arm_joint_3_rad
259
+ - left_arm_joint_4_rad
260
+ - left_arm_joint_5_rad
261
+ - left_arm_joint_6_rad
262
+ - left_gripper_open
263
+ - left_eef_pos_x_m
264
+ - left_eef_pos_y_m
265
+ - left_eef_pos_z_m
266
+ - left_eef_rot_euler_x_rad
267
+ - left_eef_rot_euler_y_rad
268
+ - left_eef_rot_euler_z_rad
269
+ - right_arm_joint_1_rad
270
+ - right_arm_joint_2_rad
271
+ - right_arm_joint_3_rad
272
+ - right_arm_joint_4_rad
273
+ - right_arm_joint_5_rad
274
+ - right_arm_joint_6_rad
275
+ - right_gripper_open
276
+ - right_eef_pos_x_m
277
+ - right_eef_pos_y_m
278
+ - right_eef_pos_z_m
279
+ - right_eef_rot_euler_x_rad
280
+ - right_eef_rot_euler_y_rad
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+ - right_eef_rot_euler_z_rad
282
+ action:
283
+ dtype: float32
284
+ shape:
285
+ - 26
286
+ names:
287
+ - left_arm_joint_1_rad
288
+ - left_arm_joint_2_rad
289
+ - left_arm_joint_3_rad
290
+ - left_arm_joint_4_rad
291
+ - left_arm_joint_5_rad
292
+ - left_arm_joint_6_rad
293
+ - left_gripper_open
294
+ - left_eef_pos_x_m
295
+ - left_eef_pos_y_m
296
+ - left_eef_pos_z_m
297
+ - left_eef_rot_euler_x_rad
298
+ - left_eef_rot_euler_y_rad
299
+ - left_eef_rot_euler_z_rad
300
+ - right_arm_joint_1_rad
301
+ - right_arm_joint_2_rad
302
+ - right_arm_joint_3_rad
303
+ - right_arm_joint_4_rad
304
+ - right_arm_joint_5_rad
305
+ - right_arm_joint_6_rad
306
+ - right_gripper_open
307
+ - right_eef_pos_x_m
308
+ - right_eef_pos_y_m
309
+ - right_eef_pos_z_m
310
+ - right_eef_rot_euler_x_rad
311
+ - right_eef_rot_euler_y_rad
312
+ - right_eef_rot_euler_z_rad
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+ timestamp:
314
+ dtype: float32
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+ shape:
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+ - 1
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+ names: null
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+ frame_index:
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+ dtype: int64
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+ shape:
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+ - 1
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+ names: null
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+ episode_index:
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+ dtype: int64
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+ shape:
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+ - 1
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+ names: null
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+ index:
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+ dtype: int64
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+ shape:
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+ - 1
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+ names: null
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+ task_index:
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+ dtype: int64
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+ shape:
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+ - 1
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+ names: null
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+ names: null
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+ dtype: int32
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+ shape:
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+ - 5
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+ scene_annotation:
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+ names: null
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+ dtype: int32
346
+ shape:
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+ - 1
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+ eef_sim_pose_state:
349
+ names:
350
+ - left_eef_pos_x
351
+ - left_eef_pos_y
352
+ - left_eef_pos_z
353
+ - left_eef_rot_x
354
+ - left_eef_rot_y
355
+ - left_eef_rot_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_rot_x
360
+ - right_eef_rot_y
361
+ - right_eef_rot_z
362
+ dtype: float32
363
+ shape:
364
+ - 12
365
+ eef_sim_pose_action:
366
+ names:
367
+ - left_eef_pos_x
368
+ - left_eef_pos_y
369
+ - left_eef_pos_z
370
+ - left_eef_rot_x
371
+ - left_eef_rot_y
372
+ - left_eef_rot_z
373
+ - right_eef_pos_x
374
+ - right_eef_pos_y
375
+ - right_eef_pos_z
376
+ - right_eef_rot_x
377
+ - right_eef_rot_y
378
+ - right_eef_rot_z
379
+ dtype: float32
380
+ shape:
381
+ - 12
382
+ eef_direction_state:
383
+ names:
384
+ - left_eef_direction
385
+ - right_eef_direction
386
+ dtype: int32
387
+ shape:
388
+ - 2
389
+ eef_direction_action:
390
+ names:
391
+ - left_eef_direction
392
+ - right_eef_direction
393
+ dtype: int32
394
+ shape:
395
+ - 2
396
+ eef_velocity_state:
397
+ names:
398
+ - left_eef_velocity
399
+ - right_eef_velocity
400
+ dtype: int32
401
+ shape:
402
+ - 2
403
+ eef_velocity_action:
404
+ names:
405
+ - left_eef_velocity
406
+ - right_eef_velocity
407
+ dtype: int32
408
+ shape:
409
+ - 2
410
+ eef_acc_mag_state:
411
+ names:
412
+ - left_eef_acc_mag
413
+ - right_eef_acc_mag
414
+ dtype: int32
415
+ shape:
416
+ - 2
417
+ eef_acc_mag_action:
418
+ names:
419
+ - left_eef_acc_mag
420
+ - right_eef_acc_mag
421
+ dtype: int32
422
+ shape:
423
+ - 2
424
+ gripper_mode_state:
425
+ names:
426
+ - left_gripper_mode
427
+ - right_gripper_mode
428
+ dtype: int32
429
+ shape:
430
+ - 2
431
+ gripper_mode_action:
432
+ names:
433
+ - left_gripper_mode
434
+ - right_gripper_mode
435
+ dtype: int32
436
+ shape:
437
+ - 2
438
+ gripper_activity_state:
439
+ names:
440
+ - left_gripper_activity
441
+ - right_gripper_activity
442
+ dtype: int32
443
+ shape:
444
+ - 2
445
+ gripper_activity_action:
446
+ names:
447
+ - left_gripper_activity
448
+ - right_gripper_activity
449
+ dtype: int32
450
+ shape:
451
+ - 2
452
+ gripper_open_scale_state:
453
+ names:
454
+ - left_gripper_open_scale
455
+ - right_gripper_open_scale
456
+ dtype: float32
457
+ shape:
458
+ - 2
459
+ gripper_open_scale_action:
460
+ names:
461
+ - left_gripper_open_scale
462
+ - right_gripper_open_scale
463
+ dtype: float32
464
+ shape:
465
+ - 2
466
+ authors:
467
+ contributed_by:
468
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
469
+ dataset_description: This dataset uses an extended format based on LeRobot and is
470
+ fully compatible with LeRobot.
471
+ homepage: https://flagopen.github.io/RoboCOIN/
472
+ paper: https://arxiv.org/abs/2511.17441
473
+ repository: https://github.com/FlagOpen/RoboCOIN
474
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
475
+ us.
476
+ support_info: For technical support, please open an issue on our GitHub repository.
477
+ license_details: apache-2.0
478
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
479
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
480
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
481
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
482
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
483
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
484
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
485
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
486
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
487
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
488
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
489
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
490
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
491
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
492
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
493
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
494
+ additional_citations: 'If you use this dataset, please also consider citing:
495
+
496
+ LeRobot Framework: https://github.com/huggingface/lerobot
497
+
498
+ '
499
+ version_info: Initial Release
500
+ data_path: data/chunk-{id}/episode_{id}.parquet
501
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
502
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_storage_object.yaml ADDED
@@ -0,0 +1,1098 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_storage_object
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: living_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: white_table_cloths
35
+ level1: laboratory_supplies
36
+ level2: white_table_cloths
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: table
41
+ level1: home_storage
42
+ level2: table
43
+ level3: null
44
+ level4: null
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+ level5: null
46
+ - object_name: apple
47
+ level1: food
48
+ level2: apple
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: yellow_lemon
53
+ level1: food
54
+ level2: yellow_lemon
55
+ level3: null
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+ level4: null
57
+ level5: null
58
+ - object_name: pomegranate
59
+ level1: food
60
+ level2: pomegranate
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: bread_dough
65
+ level1: food
66
+ level2: bread_dough
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: waffle
71
+ level1: food
72
+ level2: waffle
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: green_lemon
77
+ level1: food
78
+ level2: green_lemon
79
+ level3: null
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+ level4: null
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+ level5: null
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+ - object_name: eggplant
83
+ level1: food
84
+ level2: eggplant
85
+ level3: null
86
+ level4: null
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+ level5: null
88
+ - object_name: chewing_gum
89
+ level1: food
90
+ level2: chewing_gum
91
+ level3: null
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+ level4: null
93
+ level5: null
94
+ - object_name: chocolate
95
+ level1: food
96
+ level2: chocolate
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: mango
101
+ level1: food
102
+ level2: mango
103
+ level3: null
104
+ level4: null
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+ level5: null
106
+ - object_name: chewing_gum
107
+ level1: food
108
+ level2: chewing_gum
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: mint_candy
113
+ level1: food
114
+ level2: mint_candy
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: mangosteen
119
+ level1: food
120
+ level2: mangosteen
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: orange
125
+ level1: food
126
+ level2: orange
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: bread
131
+ level1: food
132
+ level2: bread
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: banana
137
+ level1: food
138
+ level2: banana
139
+ level3: null
140
+ level4: Fruit cake
141
+ level5: null
142
+ - object_name: cake
143
+ level1: food
144
+ level2: cake
145
+ level3: null
146
+ level4: null
147
+ level5: null
148
+ - object_name: beef_cheeseburger
149
+ level1: food
150
+ level2: beef_cheeseburger
151
+ level3: null
152
+ level4: null
153
+ level5: null
154
+ - object_name: bowl
155
+ level1: kitchen_supplies
156
+ level2: bowl
157
+ level3: null
158
+ level4: null
159
+ level5: null
160
+ - object_name: pan
161
+ level1: kitchen_supplies
162
+ level2: pan
163
+ level3: null
164
+ level4: null
165
+ level5: null
166
+ - object_name: small_teapot
167
+ level1: kitchen_supplies
168
+ level2: small_teapot
169
+ level3: null
170
+ level4: null
171
+ level5: null
172
+ - object_name: small_teacup
173
+ level1: kitchen_supplies
174
+ level2: small_teacup
175
+ level3: null
176
+ level4: null
177
+ level5: null
178
+ - object_name: paper_ball
179
+ level1: trash
180
+ level2: paper_ball
181
+ level3: null
182
+ level4: null
183
+ level5: null
184
+ - object_name: brown_square_towel
185
+ level1: daily_necessities
186
+ level2: brown_square_towel
187
+ level3: null
188
+ level4: null
189
+ level5: null
190
+ - object_name: black_cylindrical_pen_holder
191
+ level1: stationery
192
+ level2: black_cylindrical_pen_holder
193
+ level3: null
194
+ level4: null
195
+ level5: null
196
+ - object_name: pink_long_towel
197
+ level1: daily_necessities
198
+ level2: pink_long_towel
199
+ level3: null
200
+ level4: null
201
+ level5: null
202
+ - object_name: whiteboard_eraser
203
+ level1: stationery
204
+ level2: whiteboard_eraser
205
+ level3: null
206
+ level4: null
207
+ level5: null
208
+ - object_name: mentholatum_facial_cleanser
209
+ level1: daily_necessities
210
+ level2: mentholatum_facial_cleanser
211
+ level3: null
212
+ level4: null
213
+ level5: null
214
+ - object_name: duck
215
+ level1: toys
216
+ level2: duck
217
+ level3: null
218
+ level4: null
219
+ level5: null
220
+ - object_name: compass
221
+ level1: stationery
222
+ level2: compass
223
+ level3: null
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+ level4: null
225
+ level5: null
226
+ - object_name: bowl
227
+ level1: kitchen_supplies
228
+ level2: bowl
229
+ level3: null
230
+ level4: null
231
+ level5: null
232
+ - object_name: blue_long_towel
233
+ level1: daily_necessities
234
+ level2: blue_long_towel
235
+ level3: null
236
+ level4: null
237
+ level5: null
238
+ - object_name: pearMint candy
239
+ level1: food
240
+ level2: pear
241
+ level3: null
242
+ level4: null
243
+ level5: null
244
+ - object_name: mint_candy
245
+ level1: food
246
+ level2: mint_candy
247
+ level3: null
248
+ level4: null
249
+ level5: null
250
+ - object_name: triangular_bread
251
+ level1: food
252
+ level2: triangular_bread Long Bread
253
+ level3: null
254
+ level4: null
255
+ level5: null
256
+ - object_name: long_bread
257
+ level1: food
258
+ level2: long_bread
259
+ level3: null
260
+ level4: null
261
+ level5: null
262
+ - object_name: chinese_cabbage
263
+ level1: food
264
+ level2: chinese_cabbage
265
+ level3: null
266
+ level4: null
267
+ level5: null
268
+ - object_name: peach
269
+ level1: food
270
+ level2: peach
271
+ level3: null
272
+ level4: null
273
+ level5: null
274
+ - object_name: can
275
+ level1: food
276
+ level2: can
277
+ level3: null
278
+ level4: null
279
+ level5: null
280
+ - object_name: bathing_in_flowers
281
+ level1: daily_necessities
282
+ level2: bathing_in_flowers
283
+ level3: null
284
+ level4: null
285
+ level5: null
286
+ - object_name: wok
287
+ level1: kitchen_supplies
288
+ level2: wok
289
+ level3: null
290
+ level4: null
291
+ level5: null
292
+ - object_name: red_bull_canned_drink
293
+ level1: beverages
294
+ level2: wok
295
+ level3: null
296
+ level4: null
297
+ level5: null
298
+ - object_name: eyeglass_case
299
+ level1: laboratory_supplies
300
+ level2: eyeglass_case
301
+ level3: null
302
+ level4: null
303
+ level5: null
304
+ - object_name: coke (Slim Can)
305
+ level1: beverages
306
+ level2: coke (Slim Can)
307
+ level3: null
308
+ level4: null
309
+ level5: null
310
+ - object_name: wahaha_AD_calcium
311
+ level1: beverages
312
+ level2: wahaha_AD_calcium
313
+ level3: null
314
+ level4: null
315
+ level5: null
316
+ - object_name: brave_the_world_beer
317
+ level1: beverages
318
+ level2: brave_the_world_beer
319
+ level3: null
320
+ level4: null
321
+ level5: null
322
+ - object_name: brave_the_world_beer
323
+ level1: beverages
324
+ level2: brave_the_world_beer
325
+ level3: null
326
+ level4: null
327
+ level5: null
328
+ - object_name: shampoo
329
+ level1: daily_necessities
330
+ level2: shampoo
331
+ level3: null
332
+ level4: null
333
+ level5: null
334
+ - object_name: cleanser
335
+ level1: daily_necessities
336
+ level2: cleanser
337
+ level3: null
338
+ level4: null
339
+ level5: null
340
+ - object_name: sausage
341
+ level1: food
342
+ level2: sausage
343
+ level3: null
344
+ level4: null
345
+ level5: null
346
+ - object_name: french_fries
347
+ level1: food
348
+ level2: french_fries
349
+ level3: null
350
+ level4: null
351
+ level5: null
352
+ - object_name: purple_trash_bag
353
+ level1: trash
354
+ level2: purple_trash_bag
355
+ level3: null
356
+ level4: null
357
+ level5: null
358
+ - object_name: red_date
359
+ level1: food
360
+ level2: red_date
361
+ level3: null
362
+ level4: null
363
+ level5: null
364
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
365
+ the operation type information.
366
+ task_instruction:
367
+ - pick up an item with a gripper and place it in a random container on the table.
368
+ sub_tasks:
369
+ - subtask: Grasp the pink towel with the right gripper
370
+ subtask_index: 0
371
+ - subtask: Place the XX into the purple pot with the left gripper
372
+ subtask_index: 1
373
+ - subtask: Grasp the yellow lemon with the right gripper
374
+ subtask_index: 2
375
+ - subtask: Grasp the AD milk with the left gripper
376
+ subtask_index: 3
377
+ - subtask: Place the plush banana into the pink bowl with the left gripper
378
+ subtask_index: 4
379
+ - subtask: Place the beer into the purple pot with the right gripper
380
+ subtask_index: 5
381
+ - subtask: Place the green lemon into the pink bowl with the right gripper
382
+ subtask_index: 6
383
+ - subtask: Grasp the red bull with the right gripper
384
+ subtask_index: 7
385
+ - subtask: Grasp the beer with the right gripper
386
+ subtask_index: 8
387
+ - subtask: Place the hollow ring bread into the red pot with the left gripper
388
+ subtask_index: 9
389
+ - subtask: Grasp the banana with the left gripper
390
+ subtask_index: 10
391
+ - subtask: Place the yellow lemon into the pink bowl with the left gripper
392
+ subtask_index: 11
393
+ - subtask: Place the yellow lemon into the blue bowl with the right gripper
394
+ subtask_index: 12
395
+ - subtask: Grasp the pink laundry detergent with the left gripper
396
+ subtask_index: 13
397
+ - subtask: Place the eggplant into the purple pot with the right gripper
398
+ subtask_index: 14
399
+ - subtask: Grasp the apple with the right gripper
400
+ subtask_index: 15
401
+ - subtask: Place the peach into the red pot with the left gripper
402
+ subtask_index: 16
403
+ - subtask: Place the red bull into the blue bowl with the left gripper
404
+ subtask_index: 17
405
+ - subtask: Place the blue garbage bag into the pen container with the right gripper
406
+ subtask_index: 18
407
+ - subtask: Grasp the shampoo with the right gripper
408
+ subtask_index: 19
409
+ - subtask: Place the plush banana into the pink bowl with the right gripper
410
+ subtask_index: 20
411
+ - subtask: Place the banana into the red pot with the left gripper
412
+ subtask_index: 21
413
+ - subtask: Place the apple into the red pot with the left gripper
414
+ subtask_index: 22
415
+ - subtask: Place the round chewing gum into the pen container with the left gripper
416
+ subtask_index: 23
417
+ - subtask: Place the beer into the pink pot with the left gripper
418
+ subtask_index: 24
419
+ - subtask: Place the yellow cake into the pink bowl with the left gripper
420
+ subtask_index: 25
421
+ - subtask: Place the tin into the red pot with the right gripper
422
+ subtask_index: 26
423
+ - subtask: Place the blue garbage bag into the purple pot with the left gripper
424
+ subtask_index: 27
425
+ - subtask: Place the croissant into the purple pot with the right gripper
426
+ subtask_index: 28
427
+ - subtask: Place the shampoo into the blue bowl with the left gripper
428
+ subtask_index: 29
429
+ - subtask: Grasp the yellow lemon with the left gripper
430
+ subtask_index: 30
431
+ - subtask: Place the eyeglass case into the purple pot with the right gripper
432
+ subtask_index: 31
433
+ - subtask: Grasp the white blackboard erasure with the left gripper
434
+ subtask_index: 32
435
+ - subtask: Place the yogurt into the pink bowl with the right gripper
436
+ subtask_index: 33
437
+ - subtask: Place the blue garbage bag into the pink pot with the right gripper
438
+ subtask_index: 34
439
+ - subtask: Place the green lemon into the blue bowl with the left gripper
440
+ subtask_index: 35
441
+ - subtask: Place the apple into the pink pot with the left gripper
442
+ subtask_index: 36
443
+ - subtask: Grasp the eyeglass case with the right gripper
444
+ subtask_index: 37
445
+ - subtask: Place the yellow cake into the blue bowl with the left gripper
446
+ subtask_index: 38
447
+ - subtask: Place the red bull into the pen container with the right gripper
448
+ subtask_index: 39
449
+ - subtask: Place the croissant into the pink bowl with the left gripper
450
+ subtask_index: 40
451
+ - subtask: Grasp the shower sphere with the left gripper
452
+ subtask_index: 41
453
+ - subtask: Grasp the yogurt with the right gripper
454
+ subtask_index: 42
455
+ - subtask: Grasp the croissant with the left gripper
456
+ subtask_index: 43
457
+ - subtask: Grasp the tin with the left gripper
458
+ subtask_index: 44
459
+ - subtask: Grasp the long bread with the right gripper
460
+ subtask_index: 45
461
+ - subtask: Grasp the hard facial cleanser with the left gripper
462
+ subtask_index: 46
463
+ - subtask: Place the mango into the pink bowl with the left gripper
464
+ subtask_index: 47
465
+ - subtask: Grasp the plush banana with the left gripper
466
+ subtask_index: 48
467
+ - subtask: Place the pink laundry detergent into the pen container with the left
468
+ gripper
469
+ subtask_index: 49
470
+ - subtask: Place the soft facial cleanser into the pink bowl with the right gripper
471
+ subtask_index: 50
472
+ - subtask: Grasp the peach with the right gripper
473
+ subtask_index: 51
474
+ - subtask: Grasp the mango with the left gripper
475
+ subtask_index: 52
476
+ - subtask: Place the round chewing gum into the pink pot with the left gripper
477
+ subtask_index: 53
478
+ - subtask: Place the white blackboard erasure into the pink bowl with the left gripper
479
+ subtask_index: 54
480
+ - subtask: Place the peach into the pink bowl with the left gripper
481
+ subtask_index: 55
482
+ - subtask: Grasp the pear with the left gripper
483
+ subtask_index: 56
484
+ - subtask: Place the tin into the pink pot with the left gripper
485
+ subtask_index: 57
486
+ - subtask: Place the cleaning agent into the pen container with the left gripper
487
+ subtask_index: 58
488
+ - subtask: Place the shampoo into the blue bowl with the right gripper
489
+ subtask_index: 59
490
+ - subtask: Grasp the hollow ring bread with the right gripper
491
+ subtask_index: 60
492
+ - subtask: Place the shower sphere into the pink bowl with the right gripper
493
+ subtask_index: 61
494
+ - subtask: Place the pear into the purple pot with the left gripper
495
+ subtask_index: 62
496
+ - subtask: Place the round chewing gum into the pen container with the right gripper
497
+ subtask_index: 63
498
+ - subtask: Grasp the peach with the left gripper
499
+ subtask_index: 64
500
+ - subtask: Grasp the long bread with the left gripper
501
+ subtask_index: 65
502
+ - subtask: Grasp the eggplant with the right gripper
503
+ subtask_index: 66
504
+ - subtask: Place the blue garbage bag into the pink bowl with the right gripper
505
+ subtask_index: 67
506
+ - subtask: Place the croissant into the red pot with the left gripper
507
+ subtask_index: 68
508
+ - subtask: Grasp the green lemon with the right gripper
509
+ subtask_index: 69
510
+ - subtask: Place the beer into the blue bowl with the left gripper
511
+ subtask_index: 70
512
+ - subtask: Place the shampoo into the purple pot with the right gripper
513
+ subtask_index: 71
514
+ - subtask: Grasp the shampoo with the left gripper
515
+ subtask_index: 72
516
+ - subtask: Place the pink towel into the red pot with the left gripper
517
+ subtask_index: 73
518
+ - subtask: Place the peach into the purple pot with the right gripper
519
+ subtask_index: 74
520
+ - subtask: End
521
+ subtask_index: 75
522
+ - subtask: Place the mint candy into the pink bowl with the right gripper
523
+ subtask_index: 76
524
+ - subtask: Place the eggplant into the pen container with the right gripper
525
+ subtask_index: 77
526
+ - subtask: Grasp the beer with the left gripper
527
+ subtask_index: 78
528
+ - subtask: Place the AD milk into the pen container with the left gripper
529
+ subtask_index: 79
530
+ - subtask: Place the banana into the pink bowl with the left gripper
531
+ subtask_index: 80
532
+ - subtask: 'Grasp the tin with the right gripper
533
+
534
+ '
535
+ subtask_index: 81
536
+ - subtask: Place the tin into the pink pot with the right gripper
537
+ subtask_index: 82
538
+ - subtask: Place the AD milk into the pink pot with the left gripper
539
+ subtask_index: 83
540
+ - subtask: Place the shower sphere into the purple pot with the right gripper
541
+ subtask_index: 84
542
+ - subtask: Place the long bread into the red pot with the left gripper
543
+ subtask_index: 85
544
+ - subtask: Grasp the yellow cake with the right gripper
545
+ subtask_index: 86
546
+ - subtask: Grasp the croissant with the right gripper
547
+ subtask_index: 87
548
+ - subtask: Grasp the red bull with the left gripper
549
+ subtask_index: 88
550
+ - subtask: Place the peach into the pink bowl with the right gripper
551
+ subtask_index: 89
552
+ - subtask: Place the tin into the pen container with the right gripper
553
+ subtask_index: 90
554
+ - subtask: Place the long bread into the purple pot with the right gripper
555
+ subtask_index: 91
556
+ - subtask: Place the orange into the pink pot with the left gripper
557
+ subtask_index: 92
558
+ - subtask: Place the yellow cake into the blue bowl with the right gripper
559
+ subtask_index: 93
560
+ - subtask: Grasp the pink towel with the left gripper
561
+ subtask_index: 94
562
+ - subtask: Place the croissant into the pink bowl with the right gripper
563
+ subtask_index: 95
564
+ - subtask: Place the hard facial cleanser into the pink bowl with the left gripper
565
+ subtask_index: 96
566
+ - subtask: Place the round chewing gum into the red pot with the right gripper
567
+ subtask_index: 97
568
+ - subtask: Grasp the blue garbage bag with the right gripper
569
+ subtask_index: 98
570
+ - subtask: Grasp the tin with the right gripper
571
+ subtask_index: 99
572
+ - subtask: Grasp the orange with the left gripper
573
+ subtask_index: 100
574
+ - subtask: Grasp the blue garbage bag with the left gripper
575
+ subtask_index: 101
576
+ - subtask: Place the shower sphere into the pink bowl with the left gripper
577
+ subtask_index: 102
578
+ - subtask: Place the yogurt into the red pot with the right gripper
579
+ subtask_index: 103
580
+ - subtask: Place the peach into the pink pot with the right gripper
581
+ subtask_index: 104
582
+ - subtask: Grasp the hollow ring bread with the left gripper
583
+ subtask_index: 105
584
+ - subtask: Grasp the apple with the left gripper
585
+ subtask_index: 106
586
+ - subtask: Place the tin into the red pot with the left gripper
587
+ subtask_index: 107
588
+ - subtask: Place the beer into the red pot with the left gripper
589
+ subtask_index: 108
590
+ - subtask: Place the blue garbage bag into the pink bowl with the left gripper
591
+ subtask_index: 109
592
+ - subtask: Place the mango into the purple pot with the right gripper
593
+ subtask_index: 110
594
+ - subtask: Place the tin into the blue bowl with the left gripper
595
+ subtask_index: 111
596
+ - subtask: Place the apple into the blue bowl with the left gripper
597
+ subtask_index: 112
598
+ - subtask: Grasp the shower sphere with the right gripper
599
+ subtask_index: 113
600
+ - subtask: Place the red bull into the pink bowl with the left gripper
601
+ subtask_index: 114
602
+ - subtask: Grasp the yellow cake with the left gripper
603
+ subtask_index: 115
604
+ - subtask: Grasp the round chewing gum with the right gripper
605
+ subtask_index: 116
606
+ - subtask: Grasp the cleaning agent with the left gripper
607
+ subtask_index: 117
608
+ - subtask: Place the coke into the pink pot with the left gripper
609
+ subtask_index: 118
610
+ - subtask: Place the pink towelinto the pink bowl with the right gripper
611
+ subtask_index: 119
612
+ - subtask: Grasp the round chewing gum with the left gripper
613
+ subtask_index: 120
614
+ - subtask: Place the green lemon into the purple pot with the left gripper
615
+ subtask_index: 121
616
+ - subtask: Place the hollow ring bread into the purple pot with the right gripper
617
+ subtask_index: 122
618
+ - subtask: Place the peach into the purple pot with the left gripper
619
+ subtask_index: 123
620
+ - subtask: Place the yellow cake into the pen container with the right gripper
621
+ subtask_index: 124
622
+ - subtask: Place the apple into the pink pot with the right gripper
623
+ subtask_index: 125
624
+ - subtask: Place the red bull into the pink pot with the right gripper
625
+ subtask_index: 126
626
+ - subtask: Place the tin into the purple pot with the left gripper
627
+ subtask_index: 127
628
+ - subtask: Place the yellow lemon into the pink bowl with the right gripper
629
+ subtask_index: 128
630
+ - subtask: Grasp the mango with the right gripper
631
+ subtask_index: 129
632
+ - subtask: Place the banana into the red pot with the right gripper
633
+ subtask_index: 130
634
+ - subtask: Grasp the mint candy with the right gripper
635
+ subtask_index: 131
636
+ - subtask: Place the apple into the pink bowl with the left gripper
637
+ subtask_index: 132
638
+ - subtask: Grasp the soft facial cleanser with the right gripper
639
+ subtask_index: 133
640
+ - subtask: Grasp the green lemon with the left gripper
641
+ subtask_index: 134
642
+ - subtask: Place the red bull into the red pot with the left gripper
643
+ subtask_index: 135
644
+ - subtask: Grasp the coke with the left gripper
645
+ subtask_index: 136
646
+ - subtask: Place the cleaning agent into the pink bowl with the left gripper
647
+ subtask_index: 137
648
+ - subtask: Grasp the banana with the right gripper
649
+ subtask_index: 138
650
+ - subtask: Grasp the plush banana with the right gripper
651
+ subtask_index: 139
652
+ - subtask: 'null'
653
+ subtask_index: 140
654
+ atomic_actions:
655
+ - grasp
656
+ - lift
657
+ - lower
658
+ robot_name:
659
+ - Agilex_Cobot_Magic
660
+ end_effector_type: two_finger_gripper
661
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
662
+ type information.
663
+ sensor_list:
664
+ - cam_head_rgb
665
+ - cam_left_wrist_rgb
666
+ - cam_right_wrist_rgb
667
+ came_info:
668
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
669
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
670
+ pix_fmt=yuv420p
671
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
672
+ pix_fmt=yuv420p
673
+ depth_enabled: false
674
+ coordinate_definition: right-hand-frame
675
+ joint_rotation_dim: radian
676
+ end_rotation_dim: radian
677
+ end_translation_dim: meter
678
+ annotations:
679
+ - eef_acc_mag_annotation.jsonl
680
+ - eef_direction_annotation.jsonl
681
+ - eef_velocity_annotation.jsonl
682
+ - gripper_activity_annotation.jsonl
683
+ - gripper_mode_annotation.jsonl
684
+ - scene_annotations.jsonl
685
+ - subtask_annotations.jsonl
686
+ statistics:
687
+ total_episodes: 99
688
+ total_frames: 49237
689
+ fps: 30
690
+ total_tasks: 141
691
+ total_videos: 297
692
+ total_chunks: 1
693
+ chunks_size: 1000
694
+ state_dim: 26
695
+ action_dim: 26
696
+ camera_views: 3
697
+ dataset_size: 855.52 MB
698
+ frame_num: 49237
699
+ dataset_size: 855.52 MB
700
+ data_structure: 'Agilex_Cobot_Magic_storage_object_qced_hardlink/
701
+
702
+ |-- annotations
703
+
704
+ | |-- eef_acc_mag_annotation.jsonl
705
+
706
+ | |-- eef_direction_annotation.jsonl
707
+
708
+ | |-- eef_velocity_annotation.jsonl
709
+
710
+ | |-- gripper_activity_annotation.jsonl
711
+
712
+ | |-- gripper_mode_annotation.jsonl
713
+
714
+ | |-- scene_annotations.jsonl
715
+
716
+ | `-- subtask_annotations.jsonl
717
+
718
+ |-- backup
719
+
720
+ | |-- data
721
+
722
+ | | `-- chunk-000
723
+
724
+ | `-- meta
725
+
726
+ | |-- episodes.jsonl
727
+
728
+ | |-- episodes_stats.jsonl
729
+
730
+ | |-- info.json
731
+
732
+ | `-- tasks.jsonl
733
+
734
+ |-- data
735
+
736
+ | `-- chunk-000
737
+
738
+ | |-- episode_000000.parquet
739
+
740
+ | |-- episode_000001.parquet
741
+
742
+ | |-- episode_000002.parquet
743
+
744
+ | |-- episode_000003.parquet
745
+
746
+ | |-- episode_000004.parquet
747
+
748
+ | |-- episode_000005.parquet
749
+
750
+ | |-- episode_000006.parquet
751
+
752
+ | |-- episode_000007.parquet
753
+
754
+ | |-- episode_000008.parquet
755
+
756
+ | |-- episode_000009.parquet
757
+
758
+ | |-- episode_000010.parquet
759
+
760
+ | `-- episode_000011.parquet
761
+
762
+ | `-- ... (87 more entries)
763
+
764
+ |-- meta
765
+
766
+ | |-- episodes.jsonl
767
+
768
+ | |-- episodes_stats.jsonl
769
+
770
+ | |-- info.json
771
+
772
+ | `-- tasks.jsonl
773
+
774
+ |-- videos
775
+
776
+ | `-- chunk-000
777
+
778
+ | |-- observation.images.cam_head_rgb
779
+
780
+ | |-- observation.images.cam_left_wrist_rgb
781
+
782
+ | `-- observation.images.cam_right_wrist_rgb
783
+
784
+ |-- info.yaml
785
+
786
+ `-- README.md'
787
+ splits:
788
+ train: 0:98
789
+ features:
790
+ observation.images.cam_head_rgb:
791
+ dtype: video
792
+ shape:
793
+ - 480
794
+ - 640
795
+ - 3
796
+ names:
797
+ - height
798
+ - width
799
+ - channels
800
+ info:
801
+ video.height: 480
802
+ video.width: 640
803
+ video.codec: av1
804
+ video.pix_fmt: yuv420p
805
+ video.is_depth_map: false
806
+ video.fps: 30
807
+ video.channels: 3
808
+ has_audio: false
809
+ observation.images.cam_left_wrist_rgb:
810
+ dtype: video
811
+ shape:
812
+ - 480
813
+ - 640
814
+ - 3
815
+ names:
816
+ - height
817
+ - width
818
+ - channels
819
+ info:
820
+ video.height: 480
821
+ video.width: 640
822
+ video.codec: av1
823
+ video.pix_fmt: yuv420p
824
+ video.is_depth_map: false
825
+ video.fps: 30
826
+ video.channels: 3
827
+ has_audio: false
828
+ observation.images.cam_right_wrist_rgb:
829
+ dtype: video
830
+ shape:
831
+ - 480
832
+ - 640
833
+ - 3
834
+ names:
835
+ - height
836
+ - width
837
+ - channels
838
+ info:
839
+ video.height: 480
840
+ video.width: 640
841
+ video.codec: av1
842
+ video.pix_fmt: yuv420p
843
+ video.is_depth_map: false
844
+ video.fps: 30
845
+ video.channels: 3
846
+ has_audio: false
847
+ observation.state:
848
+ dtype: float32
849
+ shape:
850
+ - 26
851
+ names:
852
+ - left_arm_joint_1_rad
853
+ - left_arm_joint_2_rad
854
+ - left_arm_joint_3_rad
855
+ - left_arm_joint_4_rad
856
+ - left_arm_joint_5_rad
857
+ - left_arm_joint_6_rad
858
+ - left_gripper_open
859
+ - left_eef_pos_x_m
860
+ - left_eef_pos_y_m
861
+ - left_eef_pos_z_m
862
+ - left_eef_rot_euler_x_rad
863
+ - left_eef_rot_euler_y_rad
864
+ - left_eef_rot_euler_z_rad
865
+ - right_arm_joint_1_rad
866
+ - right_arm_joint_2_rad
867
+ - right_arm_joint_3_rad
868
+ - right_arm_joint_4_rad
869
+ - right_arm_joint_5_rad
870
+ - right_arm_joint_6_rad
871
+ - right_gripper_open
872
+ - right_eef_pos_x_m
873
+ - right_eef_pos_y_m
874
+ - right_eef_pos_z_m
875
+ - right_eef_rot_euler_x_rad
876
+ - right_eef_rot_euler_y_rad
877
+ - right_eef_rot_euler_z_rad
878
+ action:
879
+ dtype: float32
880
+ shape:
881
+ - 26
882
+ names:
883
+ - left_arm_joint_1_rad
884
+ - left_arm_joint_2_rad
885
+ - left_arm_joint_3_rad
886
+ - left_arm_joint_4_rad
887
+ - left_arm_joint_5_rad
888
+ - left_arm_joint_6_rad
889
+ - left_gripper_open
890
+ - left_eef_pos_x_m
891
+ - left_eef_pos_y_m
892
+ - left_eef_pos_z_m
893
+ - left_eef_rot_euler_x_rad
894
+ - left_eef_rot_euler_y_rad
895
+ - left_eef_rot_euler_z_rad
896
+ - right_arm_joint_1_rad
897
+ - right_arm_joint_2_rad
898
+ - right_arm_joint_3_rad
899
+ - right_arm_joint_4_rad
900
+ - right_arm_joint_5_rad
901
+ - right_arm_joint_6_rad
902
+ - right_gripper_open
903
+ - right_eef_pos_x_m
904
+ - right_eef_pos_y_m
905
+ - right_eef_pos_z_m
906
+ - right_eef_rot_euler_x_rad
907
+ - right_eef_rot_euler_y_rad
908
+ - right_eef_rot_euler_z_rad
909
+ timestamp:
910
+ dtype: float32
911
+ shape:
912
+ - 1
913
+ names: null
914
+ frame_index:
915
+ dtype: int64
916
+ shape:
917
+ - 1
918
+ names: null
919
+ episode_index:
920
+ dtype: int64
921
+ shape:
922
+ - 1
923
+ names: null
924
+ index:
925
+ dtype: int64
926
+ shape:
927
+ - 1
928
+ names: null
929
+ task_index:
930
+ dtype: int64
931
+ shape:
932
+ - 1
933
+ names: null
934
+ subtask_annotation:
935
+ names: null
936
+ shape:
937
+ - 5
938
+ dtype: int32
939
+ scene_annotation:
940
+ names: null
941
+ shape:
942
+ - 1
943
+ dtype: int32
944
+ eef_sim_pose_state:
945
+ names:
946
+ - left_eef_pos_x
947
+ - left_eef_pos_y
948
+ - left_eef_pos_z
949
+ - left_eef_rot_x
950
+ - left_eef_rot_y
951
+ - left_eef_rot_z
952
+ - right_eef_pos_x
953
+ - right_eef_pos_y
954
+ - right_eef_pos_z
955
+ - right_eef_rot_x
956
+ - right_eef_rot_y
957
+ - right_eef_rot_z
958
+ shape:
959
+ - 12
960
+ dtype: float32
961
+ eef_sim_pose_action:
962
+ names:
963
+ - left_eef_pos_x
964
+ - left_eef_pos_y
965
+ - left_eef_pos_z
966
+ - left_eef_rot_x
967
+ - left_eef_rot_y
968
+ - left_eef_rot_z
969
+ - right_eef_pos_x
970
+ - right_eef_pos_y
971
+ - right_eef_pos_z
972
+ - right_eef_rot_x
973
+ - right_eef_rot_y
974
+ - right_eef_rot_z
975
+ shape:
976
+ - 12
977
+ dtype: float32
978
+ eef_direction_state:
979
+ names:
980
+ - left_eef_direction
981
+ - right_eef_direction
982
+ shape:
983
+ - 2
984
+ dtype: int32
985
+ eef_direction_action:
986
+ names:
987
+ - left_eef_direction
988
+ - right_eef_direction
989
+ shape:
990
+ - 2
991
+ dtype: int32
992
+ eef_velocity_state:
993
+ names:
994
+ - left_eef_velocity
995
+ - right_eef_velocity
996
+ shape:
997
+ - 2
998
+ dtype: int32
999
+ eef_velocity_action:
1000
+ names:
1001
+ - left_eef_velocity
1002
+ - right_eef_velocity
1003
+ shape:
1004
+ - 2
1005
+ dtype: int32
1006
+ eef_acc_mag_state:
1007
+ names:
1008
+ - left_eef_acc_mag
1009
+ - right_eef_acc_mag
1010
+ shape:
1011
+ - 2
1012
+ dtype: int32
1013
+ eef_acc_mag_action:
1014
+ names:
1015
+ - left_eef_acc_mag
1016
+ - right_eef_acc_mag
1017
+ shape:
1018
+ - 2
1019
+ dtype: int32
1020
+ gripper_mode_state:
1021
+ names:
1022
+ - left_gripper_mode
1023
+ - right_gripper_mode
1024
+ shape:
1025
+ - 2
1026
+ dtype: int32
1027
+ gripper_mode_action:
1028
+ names:
1029
+ - left_gripper_mode
1030
+ - right_gripper_mode
1031
+ shape:
1032
+ - 2
1033
+ dtype: int32
1034
+ gripper_activity_state:
1035
+ names:
1036
+ - left_gripper_activity
1037
+ - right_gripper_activity
1038
+ shape:
1039
+ - 2
1040
+ dtype: int32
1041
+ gripper_activity_action:
1042
+ names:
1043
+ - left_gripper_activity
1044
+ - right_gripper_activity
1045
+ shape:
1046
+ - 2
1047
+ dtype: int32
1048
+ gripper_open_scale_state:
1049
+ names:
1050
+ - left_gripper_open_scale
1051
+ - right_gripper_open_scale
1052
+ dtype: float32
1053
+ shape:
1054
+ - 2
1055
+ gripper_open_scale_action:
1056
+ names:
1057
+ - left_gripper_open_scale
1058
+ - right_gripper_open_scale
1059
+ dtype: float32
1060
+ shape:
1061
+ - 2
1062
+ authors:
1063
+ contributed_by:
1064
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
1065
+ dataset_description: This dataset uses an extended format based on LeRobot and is
1066
+ fully compatible with LeRobot.
1067
+ homepage: https://flagopen.github.io/RoboCOIN/
1068
+ paper: https://arxiv.org/abs/2511.17441
1069
+ repository: https://github.com/FlagOpen/RoboCOIN
1070
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
1071
+ us.
1072
+ support_info: For technical support, please open an issue on our GitHub repository.
1073
+ license_details: apache-2.0
1074
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
1075
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
1076
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
1077
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
1078
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
1079
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
1080
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
1081
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
1082
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
1083
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
1084
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
1085
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
1086
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
1087
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
1088
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
1089
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
1090
+ additional_citations: 'If you use this dataset, please also consider citing:
1091
+
1092
+ LeRobot Framework: https://github.com/huggingface/lerobot
1093
+
1094
+ '
1095
+ version_info: Initial Release
1096
+ data_path: data/chunk-{id}/episode_{id}.parquet
1097
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
1098
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_storage_object_closest_apple.yaml ADDED
@@ -0,0 +1,561 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_storage_object_closest_apple
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: brown_basket
41
+ level1: home_storage
42
+ level2: brown_basket
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: mango
47
+ level1: food
48
+ level2: mango
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: apple
53
+ level1: food
54
+ level2: apple
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: rubik's_cube
59
+ level1: toys
60
+ level2: rubik's_cube
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: whiteboard_erasers
65
+ level1: stationery
66
+ level2: whiteboard_erasers
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: bathing_in_flowers
71
+ level1: daily_necessities
72
+ level2: bathing_in_flowers
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
77
+ the operation type information.
78
+ task_instruction:
79
+ - use a picker to grab the item closest to the apple and place it in the basket.
80
+ sub_tasks:
81
+ - subtask: Grasp the Rubik's Cube with the left gripper
82
+ subtask_index: 0
83
+ - subtask: Grasp the chalkboard eraser with the right gripper
84
+ subtask_index: 1
85
+ - subtask: Place the chalkboard eraser into the basket with the right gripper
86
+ subtask_index: 2
87
+ - subtask: Place the shower sphere into the basket with the left gripper
88
+ subtask_index: 3
89
+ - subtask: Place the mango into the basket with the right gripper
90
+ subtask_index: 4
91
+ - subtask: Place the Rubik's Cube into the basket with the left gripper
92
+ subtask_index: 5
93
+ - subtask: Place the shower sphere into the basket with the right gripper
94
+ subtask_index: 6
95
+ - subtask: Grasp the mango with the right gripper
96
+ subtask_index: 7
97
+ - subtask: Grasp the Rubik's Cube with the right gripper
98
+ subtask_index: 8
99
+ - subtask: End
100
+ subtask_index: 9
101
+ - subtask: Place the Rubik's Cube into the basket with the right gripper
102
+ subtask_index: 10
103
+ - subtask: Grasp the mango with the left gripper
104
+ subtask_index: 11
105
+ - subtask: Place the mango into the basket with the left gripper
106
+ subtask_index: 12
107
+ - subtask: Grasp the shower sphere with the right gripper
108
+ subtask_index: 13
109
+ - subtask: Place the chalkboard eraser into the basket with the left gripper
110
+ subtask_index: 14
111
+ - subtask: Grasp the shower sphere with the left gripper
112
+ subtask_index: 15
113
+ - subtask: Grasp the chalkboard eraser with the left gripper
114
+ subtask_index: 16
115
+ - subtask: 'null'
116
+ subtask_index: 17
117
+ atomic_actions:
118
+ - grasp
119
+ - lift
120
+ - lower
121
+ robot_name:
122
+ - Agilex_Cobot_Magic
123
+ end_effector_type: two_finger_gripper
124
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
125
+ type information.
126
+ sensor_list:
127
+ - cam_head_rgb
128
+ - cam_left_wrist_rgb
129
+ - cam_right_wrist_rgb
130
+ came_info:
131
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
132
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
133
+ pix_fmt=yuv420p
134
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
135
+ pix_fmt=yuv420p
136
+ depth_enabled: false
137
+ coordinate_definition: right-hand-frame
138
+ joint_rotation_dim: radian
139
+ end_rotation_dim: radian
140
+ end_translation_dim: meter
141
+ annotations:
142
+ - eef_acc_mag_annotation.jsonl
143
+ - eef_direction_annotation.jsonl
144
+ - eef_velocity_annotation.jsonl
145
+ - gripper_activity_annotation.jsonl
146
+ - gripper_mode_annotation.jsonl
147
+ - scene_annotations.jsonl
148
+ - subtask_annotations.jsonl
149
+ statistics:
150
+ total_episodes: 49
151
+ total_frames: 13231
152
+ fps: 30
153
+ total_tasks: 18
154
+ total_videos: 147
155
+ total_chunks: 1
156
+ chunks_size: 1000
157
+ state_dim: 26
158
+ action_dim: 26
159
+ camera_views: 3
160
+ dataset_size: 189.68 MB
161
+ frame_num: 13231
162
+ dataset_size: 189.68 MB
163
+ data_structure: 'Agilex_Cobot_Magic_storage_object_closest_apple_qced_hardlink/
164
+
165
+ |-- annotations
166
+
167
+ | |-- eef_acc_mag_annotation.jsonl
168
+
169
+ | |-- eef_direction_annotation.jsonl
170
+
171
+ | |-- eef_velocity_annotation.jsonl
172
+
173
+ | |-- gripper_activity_annotation.jsonl
174
+
175
+ | |-- gripper_mode_annotation.jsonl
176
+
177
+ | |-- scene_annotations.jsonl
178
+
179
+ | `-- subtask_annotations.jsonl
180
+
181
+ |-- backup
182
+
183
+ | |-- data
184
+
185
+ | | `-- chunk-000
186
+
187
+ | `-- meta
188
+
189
+ | |-- episodes.jsonl
190
+
191
+ | |-- episodes_stats.jsonl
192
+
193
+ | |-- info.json
194
+
195
+ | `-- tasks.jsonl
196
+
197
+ |-- data
198
+
199
+ | `-- chunk-000
200
+
201
+ | |-- episode_000000.parquet
202
+
203
+ | |-- episode_000001.parquet
204
+
205
+ | |-- episode_000002.parquet
206
+
207
+ | |-- episode_000003.parquet
208
+
209
+ | |-- episode_000004.parquet
210
+
211
+ | |-- episode_000005.parquet
212
+
213
+ | |-- episode_000006.parquet
214
+
215
+ | |-- episode_000007.parquet
216
+
217
+ | |-- episode_000008.parquet
218
+
219
+ | |-- episode_000009.parquet
220
+
221
+ | |-- episode_000010.parquet
222
+
223
+ | `-- episode_000011.parquet
224
+
225
+ | `-- ... (37 more entries)
226
+
227
+ |-- meta
228
+
229
+ | |-- episodes.jsonl
230
+
231
+ | |-- episodes_stats.jsonl
232
+
233
+ | |-- info.json
234
+
235
+ | `-- tasks.jsonl
236
+
237
+ |-- videos
238
+
239
+ | `-- chunk-000
240
+
241
+ | |-- observation.images.cam_head_rgb
242
+
243
+ | |-- observation.images.cam_left_wrist_rgb
244
+
245
+ | `-- observation.images.cam_right_wrist_rgb
246
+
247
+ |-- info.yaml
248
+
249
+ `-- README.md'
250
+ splits:
251
+ train: 0:48
252
+ features:
253
+ observation.images.cam_head_rgb:
254
+ dtype: video
255
+ shape:
256
+ - 480
257
+ - 640
258
+ - 3
259
+ names:
260
+ - height
261
+ - width
262
+ - channels
263
+ info:
264
+ video.height: 480
265
+ video.width: 640
266
+ video.codec: av1
267
+ video.pix_fmt: yuv420p
268
+ video.is_depth_map: false
269
+ video.fps: 30
270
+ video.channels: 3
271
+ has_audio: false
272
+ observation.images.cam_left_wrist_rgb:
273
+ dtype: video
274
+ shape:
275
+ - 480
276
+ - 640
277
+ - 3
278
+ names:
279
+ - height
280
+ - width
281
+ - channels
282
+ info:
283
+ video.height: 480
284
+ video.width: 640
285
+ video.codec: av1
286
+ video.pix_fmt: yuv420p
287
+ video.is_depth_map: false
288
+ video.fps: 30
289
+ video.channels: 3
290
+ has_audio: false
291
+ observation.images.cam_right_wrist_rgb:
292
+ dtype: video
293
+ shape:
294
+ - 480
295
+ - 640
296
+ - 3
297
+ names:
298
+ - height
299
+ - width
300
+ - channels
301
+ info:
302
+ video.height: 480
303
+ video.width: 640
304
+ video.codec: av1
305
+ video.pix_fmt: yuv420p
306
+ video.is_depth_map: false
307
+ video.fps: 30
308
+ video.channels: 3
309
+ has_audio: false
310
+ observation.state:
311
+ dtype: float32
312
+ shape:
313
+ - 26
314
+ names:
315
+ - left_arm_joint_1_rad
316
+ - left_arm_joint_2_rad
317
+ - left_arm_joint_3_rad
318
+ - left_arm_joint_4_rad
319
+ - left_arm_joint_5_rad
320
+ - left_arm_joint_6_rad
321
+ - left_gripper_open
322
+ - left_eef_pos_x_m
323
+ - left_eef_pos_y_m
324
+ - left_eef_pos_z_m
325
+ - left_eef_rot_euler_x_rad
326
+ - left_eef_rot_euler_y_rad
327
+ - left_eef_rot_euler_z_rad
328
+ - right_arm_joint_1_rad
329
+ - right_arm_joint_2_rad
330
+ - right_arm_joint_3_rad
331
+ - right_arm_joint_4_rad
332
+ - right_arm_joint_5_rad
333
+ - right_arm_joint_6_rad
334
+ - right_gripper_open
335
+ - right_eef_pos_x_m
336
+ - right_eef_pos_y_m
337
+ - right_eef_pos_z_m
338
+ - right_eef_rot_euler_x_rad
339
+ - right_eef_rot_euler_y_rad
340
+ - right_eef_rot_euler_z_rad
341
+ action:
342
+ dtype: float32
343
+ shape:
344
+ - 26
345
+ names:
346
+ - left_arm_joint_1_rad
347
+ - left_arm_joint_2_rad
348
+ - left_arm_joint_3_rad
349
+ - left_arm_joint_4_rad
350
+ - left_arm_joint_5_rad
351
+ - left_arm_joint_6_rad
352
+ - left_gripper_open
353
+ - left_eef_pos_x_m
354
+ - left_eef_pos_y_m
355
+ - left_eef_pos_z_m
356
+ - left_eef_rot_euler_x_rad
357
+ - left_eef_rot_euler_y_rad
358
+ - left_eef_rot_euler_z_rad
359
+ - right_arm_joint_1_rad
360
+ - right_arm_joint_2_rad
361
+ - right_arm_joint_3_rad
362
+ - right_arm_joint_4_rad
363
+ - right_arm_joint_5_rad
364
+ - right_arm_joint_6_rad
365
+ - right_gripper_open
366
+ - right_eef_pos_x_m
367
+ - right_eef_pos_y_m
368
+ - right_eef_pos_z_m
369
+ - right_eef_rot_euler_x_rad
370
+ - right_eef_rot_euler_y_rad
371
+ - right_eef_rot_euler_z_rad
372
+ timestamp:
373
+ dtype: float32
374
+ shape:
375
+ - 1
376
+ names: null
377
+ frame_index:
378
+ dtype: int64
379
+ shape:
380
+ - 1
381
+ names: null
382
+ episode_index:
383
+ dtype: int64
384
+ shape:
385
+ - 1
386
+ names: null
387
+ index:
388
+ dtype: int64
389
+ shape:
390
+ - 1
391
+ names: null
392
+ task_index:
393
+ dtype: int64
394
+ shape:
395
+ - 1
396
+ names: null
397
+ subtask_annotation:
398
+ names: null
399
+ dtype: int32
400
+ shape:
401
+ - 5
402
+ scene_annotation:
403
+ names: null
404
+ dtype: int32
405
+ shape:
406
+ - 1
407
+ eef_sim_pose_state:
408
+ names:
409
+ - left_eef_pos_x
410
+ - left_eef_pos_y
411
+ - left_eef_pos_z
412
+ - left_eef_rot_x
413
+ - left_eef_rot_y
414
+ - left_eef_rot_z
415
+ - right_eef_pos_x
416
+ - right_eef_pos_y
417
+ - right_eef_pos_z
418
+ - right_eef_rot_x
419
+ - right_eef_rot_y
420
+ - right_eef_rot_z
421
+ dtype: float32
422
+ shape:
423
+ - 12
424
+ eef_sim_pose_action:
425
+ names:
426
+ - left_eef_pos_x
427
+ - left_eef_pos_y
428
+ - left_eef_pos_z
429
+ - left_eef_rot_x
430
+ - left_eef_rot_y
431
+ - left_eef_rot_z
432
+ - right_eef_pos_x
433
+ - right_eef_pos_y
434
+ - right_eef_pos_z
435
+ - right_eef_rot_x
436
+ - right_eef_rot_y
437
+ - right_eef_rot_z
438
+ dtype: float32
439
+ shape:
440
+ - 12
441
+ eef_direction_state:
442
+ names:
443
+ - left_eef_direction
444
+ - right_eef_direction
445
+ dtype: int32
446
+ shape:
447
+ - 2
448
+ eef_direction_action:
449
+ names:
450
+ - left_eef_direction
451
+ - right_eef_direction
452
+ dtype: int32
453
+ shape:
454
+ - 2
455
+ eef_velocity_state:
456
+ names:
457
+ - left_eef_velocity
458
+ - right_eef_velocity
459
+ dtype: int32
460
+ shape:
461
+ - 2
462
+ eef_velocity_action:
463
+ names:
464
+ - left_eef_velocity
465
+ - right_eef_velocity
466
+ dtype: int32
467
+ shape:
468
+ - 2
469
+ eef_acc_mag_state:
470
+ names:
471
+ - left_eef_acc_mag
472
+ - right_eef_acc_mag
473
+ dtype: int32
474
+ shape:
475
+ - 2
476
+ eef_acc_mag_action:
477
+ names:
478
+ - left_eef_acc_mag
479
+ - right_eef_acc_mag
480
+ dtype: int32
481
+ shape:
482
+ - 2
483
+ gripper_mode_state:
484
+ names:
485
+ - left_gripper_mode
486
+ - right_gripper_mode
487
+ dtype: int32
488
+ shape:
489
+ - 2
490
+ gripper_mode_action:
491
+ names:
492
+ - left_gripper_mode
493
+ - right_gripper_mode
494
+ dtype: int32
495
+ shape:
496
+ - 2
497
+ gripper_activity_state:
498
+ names:
499
+ - left_gripper_activity
500
+ - right_gripper_activity
501
+ dtype: int32
502
+ shape:
503
+ - 2
504
+ gripper_activity_action:
505
+ names:
506
+ - left_gripper_activity
507
+ - right_gripper_activity
508
+ dtype: int32
509
+ shape:
510
+ - 2
511
+ gripper_open_scale_state:
512
+ names:
513
+ - left_gripper_open_scale
514
+ - right_gripper_open_scale
515
+ dtype: float32
516
+ shape:
517
+ - 2
518
+ gripper_open_scale_action:
519
+ names:
520
+ - left_gripper_open_scale
521
+ - right_gripper_open_scale
522
+ dtype: float32
523
+ shape:
524
+ - 2
525
+ authors:
526
+ contributed_by:
527
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
528
+ dataset_description: This dataset uses an extended format based on LeRobot and is
529
+ fully compatible with LeRobot.
530
+ homepage: https://flagopen.github.io/RoboCOIN/
531
+ paper: https://arxiv.org/abs/2511.17441
532
+ repository: https://github.com/FlagOpen/RoboCOIN
533
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
534
+ us.
535
+ support_info: For technical support, please open an issue on our GitHub repository.
536
+ license_details: apache-2.0
537
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
538
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
539
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
540
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
541
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
542
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
543
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
544
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
545
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
546
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
547
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
548
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
549
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
550
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
551
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
552
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
553
+ additional_citations: 'If you use this dataset, please also consider citing:
554
+
555
+ LeRobot Framework: https://github.com/huggingface/lerobot
556
+
557
+ '
558
+ version_info: Initial Release
559
+ data_path: data/chunk-{id}/episode_{id}.parquet
560
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
561
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_move_book_front.yaml CHANGED
@@ -1,14 +1,35 @@
1
- path: Airbot_MMK2_move_book_front
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_move_book_front
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Deliver the yellow book from left gripper to right gripper
12
  objects:
13
  - object_name: book
14
  level1: stationery
@@ -16,111 +37,451 @@ objects:
16
  level3: null
17
  level4: null
18
  level5: null
19
- operation_platform_height: 77.2
20
- frame_range: 0-10519
21
- dataset_size: 396.4MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
  statistics:
23
  total_episodes: 49
24
  total_frames: 10519
25
- total_tasks: 1
 
26
  total_videos: 196
27
  total_chunks: 1
28
  chunks_size: 1000
29
- fps: 30
30
- dataset_uuid: 76889c9d-1f69-4822-b205-536409786515
31
- language:
32
- - en
33
- - zh
34
- task_categories:
35
- - robotics
36
- sub_tasks:
37
- - Deliver the yellow book from left gripper to right gripper
38
- - Place the yellow book on the white book with the right gripper
39
- - Grasp the yellow book with the left gripper
40
- - Static
41
- - End
42
- - 'null'
43
- annotations:
44
- subtask_annotation: auto_generated
45
- scene_annotation: auto_generated
46
- eef_direction: auto_generated
47
- eef_velocity: auto_generated
48
- eef_acc_mag: auto_generated
49
- gripper_mode: auto_generated
50
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
51
  authors:
52
  contributed_by:
53
- - name: RoboCOIN
54
- url: https://flagopen.github.io/RoboCOIN/
55
- affiliation: RoboCOIN Team
56
- annotated_by:
57
- - name: RoboCOIN
58
- url: https://flagopen.github.io/RoboCOIN/
59
- affiliation: RoboCOIN Team
60
  homepage: https://flagopen.github.io/RoboCOIN/
61
  paper: https://arxiv.org/abs/2511.17441
62
  repository: https://github.com/FlagOpen/RoboCOIN
63
- license: apache-2.0
64
- tags:
65
- - RoboCOIN
66
- - LeRobot
67
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
68
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
69
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
70
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
71
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
72
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
73
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
74
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
75
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
76
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
77
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
78
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
79
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
80
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
81
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
82
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
83
- \ }"
84
- depth_enabled: false
85
- data_schema: "Airbot_MMK2_move_book_front_qced_hardlink/\n├── annotations/\n│ ├──\
86
- \ eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├──\
87
- \ eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ \
88
- \ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
89
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
90
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
91
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
92
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
93
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
94
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
95
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
96
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
97
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
98
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
99
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
100
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
101
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
102
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
103
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
104
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
105
- \ (...)"
106
- structure: "Airbot_MMK2_move_book_front_qced_hardlink/\n├── annotations/\n│ ├──\
107
- \ eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├──\
108
- \ eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ \
109
- \ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
110
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
111
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
112
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
113
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
114
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
115
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
116
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
117
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
118
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
119
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
120
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
121
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
122
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
123
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
124
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
125
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
126
- \ (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_move_book_front
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: study_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
  objects:
34
  - object_name: book
35
  level1: stationery
 
37
  level3: null
38
  level4: null
39
  level5: null
40
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
41
+ the operation type information.
42
+ task_instruction:
43
+ - pick up the book with your left hand and hand it to your right hand, then place
44
+ it on top of another book.
45
+ sub_tasks:
46
+ - subtask: Deliver the yellow book from left gripper to right gripper
47
+ subtask_index: 0
48
+ - subtask: Place the yellow book on the white book with the right gripper
49
+ subtask_index: 1
50
+ - subtask: Grasp the yellow book with the left gripper
51
+ subtask_index: 2
52
+ - subtask: Static
53
+ subtask_index: 3
54
+ - subtask: End
55
+ subtask_index: 4
56
+ - subtask: 'null'
57
+ subtask_index: 5
58
+ atomic_actions:
59
+ - grasp
60
+ - pick
61
+ - place
62
+ robot_name:
63
+ - Airbot_MMK2
64
+ end_effector_type: five_finger_gripper
65
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
66
+ type information.
67
+ sensor_list:
68
+ - cam_head_rgb
69
+ - cam_left_wrist_rgb
70
+ - cam_right_wrist_rgb
71
+ - cam_front_rgb
72
+ came_info:
73
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
74
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
75
+ pix_fmt=yuv420p
76
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
77
+ pix_fmt=yuv420p
78
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ depth_enabled: false
80
+ coordinate_definition: right-hand-frame
81
+ joint_rotation_dim: radian
82
+ end_rotation_dim: end_rotation_dim
83
+ end_translation_dim: end_translation_dim
84
+ annotations:
85
+ - eef_acc_mag_annotation.jsonl
86
+ - eef_direction_annotation.jsonl
87
+ - eef_velocity_annotation.jsonl
88
+ - gripper_activity_annotation.jsonl
89
+ - gripper_mode_annotation.jsonl
90
+ - scene_annotations.jsonl
91
+ - subtask_annotations.jsonl
92
  statistics:
93
  total_episodes: 49
94
  total_frames: 10519
95
+ fps: 30
96
+ total_tasks: 6
97
  total_videos: 196
98
  total_chunks: 1
99
  chunks_size: 1000
100
+ state_dim: 36
101
+ action_dim: 36
102
+ camera_views: 4
103
+ dataset_size: 396.69 MB
104
+ frame_num: 10519
105
+ dataset_size: 396.69 MB
106
+ data_structure: 'Airbot_MMK2_move_book_front_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
+ | `-- ... (37 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_front_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: 0:48
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.images.cam_front_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
+ - 36
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
+ - 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
+ - left_hand_joint_1_rad
276
+ - left_hand_joint_2_rad
277
+ - left_hand_joint_3_rad
278
+ - left_hand_joint_4_rad
279
+ - left_hand_joint_5_rad
280
+ - left_hand_joint_6_rad
281
+ - left_hand_joint_7_rad
282
+ - left_hand_joint_8_rad
283
+ - left_hand_joint_9_rad
284
+ - left_hand_joint_10_rad
285
+ - left_hand_joint_11_rad
286
+ - left_hand_joint_12_rad
287
+ - right_hand_joint_1_rad
288
+ - right_hand_joint_2_rad
289
+ - right_hand_joint_3_rad
290
+ - right_hand_joint_4_rad
291
+ - right_hand_joint_5_rad
292
+ - right_hand_joint_6_rad
293
+ - right_hand_joint_7_rad
294
+ - right_hand_joint_8_rad
295
+ - right_hand_joint_9_rad
296
+ - right_hand_joint_10_rad
297
+ - right_hand_joint_11_rad
298
+ - right_hand_joint_12_rad
299
+ action:
300
+ dtype: float32
301
+ shape:
302
+ - 36
303
+ names:
304
+ - left_arm_joint_1_rad
305
+ - left_arm_joint_2_rad
306
+ - left_arm_joint_3_rad
307
+ - left_arm_joint_4_rad
308
+ - left_arm_joint_5_rad
309
+ - left_arm_joint_6_rad
310
+ - right_arm_joint_1_rad
311
+ - right_arm_joint_2_rad
312
+ - right_arm_joint_3_rad
313
+ - right_arm_joint_4_rad
314
+ - right_arm_joint_5_rad
315
+ - right_arm_joint_6_rad
316
+ - left_hand_joint_1_rad
317
+ - left_hand_joint_2_rad
318
+ - left_hand_joint_3_rad
319
+ - left_hand_joint_4_rad
320
+ - left_hand_joint_5_rad
321
+ - left_hand_joint_6_rad
322
+ - left_hand_joint_7_rad
323
+ - left_hand_joint_8_rad
324
+ - left_hand_joint_9_rad
325
+ - left_hand_joint_10_rad
326
+ - left_hand_joint_11_rad
327
+ - left_hand_joint_12_rad
328
+ - right_hand_joint_1_rad
329
+ - right_hand_joint_2_rad
330
+ - right_hand_joint_3_rad
331
+ - right_hand_joint_4_rad
332
+ - right_hand_joint_5_rad
333
+ - right_hand_joint_6_rad
334
+ - right_hand_joint_7_rad
335
+ - right_hand_joint_8_rad
336
+ - right_hand_joint_9_rad
337
+ - right_hand_joint_10_rad
338
+ - right_hand_joint_11_rad
339
+ - right_hand_joint_12_rad
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
+ shape:
368
+ - 5
369
+ dtype: int32
370
+ scene_annotation:
371
+ names: null
372
+ shape:
373
+ - 1
374
+ dtype: int32
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_rot_x
381
+ - left_eef_rot_y
382
+ - left_eef_rot_z
383
+ - right_eef_pos_x
384
+ - right_eef_pos_y
385
+ - right_eef_pos_z
386
+ - right_eef_rot_x
387
+ - right_eef_rot_y
388
+ - right_eef_rot_z
389
+ shape:
390
+ - 12
391
+ dtype: float32
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_rot_x
398
+ - left_eef_rot_y
399
+ - left_eef_rot_z
400
+ - right_eef_pos_x
401
+ - right_eef_pos_y
402
+ - right_eef_pos_z
403
+ - right_eef_rot_x
404
+ - right_eef_rot_y
405
+ - right_eef_rot_z
406
+ shape:
407
+ - 12
408
+ dtype: float32
409
+ eef_direction_state:
410
+ names:
411
+ - left_eef_direction
412
+ - right_eef_direction
413
+ shape:
414
+ - 2
415
+ dtype: int32
416
+ eef_direction_action:
417
+ names:
418
+ - left_eef_direction
419
+ - right_eef_direction
420
+ shape:
421
+ - 2
422
+ dtype: int32
423
+ eef_velocity_state:
424
+ names:
425
+ - left_eef_velocity
426
+ - right_eef_velocity
427
+ shape:
428
+ - 2
429
+ dtype: int32
430
+ eef_velocity_action:
431
+ names:
432
+ - left_eef_velocity
433
+ - right_eef_velocity
434
+ shape:
435
+ - 2
436
+ dtype: int32
437
+ eef_acc_mag_state:
438
+ names:
439
+ - left_eef_acc_mag
440
+ - right_eef_acc_mag
441
+ shape:
442
+ - 2
443
+ dtype: int32
444
+ eef_acc_mag_action:
445
+ names:
446
+ - left_eef_acc_mag
447
+ - right_eef_acc_mag
448
+ shape:
449
+ - 2
450
+ dtype: int32
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_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_stack_bowl.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: Airbot_MMK2_stack_bowl
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: catering
27
+ level2: restaurant
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: bowl
35
+ level1: plastic_bowls
36
+ level2: bowl
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
41
+ the operation type information.
42
+ task_instruction:
43
+ - put the small bowl into the big bowl by hand.
44
+ sub_tasks:
45
+ - subtask: Grasp the white bowl with the left gripper
46
+ subtask_index: 0
47
+ - subtask: Abnormal
48
+ subtask_index: 1
49
+ - subtask: Place the white bowl on the pink bowl with the left gripper
50
+ subtask_index: 2
51
+ - subtask: End
52
+ subtask_index: 3
53
+ - subtask: Static
54
+ subtask_index: 4
55
+ - subtask: 'null'
56
+ subtask_index: 5
57
+ atomic_actions:
58
+ - grasp
59
+ - pick
60
+ - place
61
+ robot_name:
62
+ - Airbot_MMK2
63
+ end_effector_type: five_finger_gripper
64
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
65
+ type information.
66
+ sensor_list:
67
+ - cam_head_rgb
68
+ - cam_left_wrist_rgb
69
+ - cam_right_wrist_rgb
70
+ - cam_front_rgb
71
+ came_info:
72
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
73
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
74
+ pix_fmt=yuv420p
75
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
76
+ pix_fmt=yuv420p
77
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
78
+ depth_enabled: false
79
+ coordinate_definition: right-hand-frame
80
+ joint_rotation_dim: radian
81
+ end_rotation_dim: end_rotation_dim
82
+ end_translation_dim: end_translation_dim
83
+ annotations:
84
+ - eef_acc_mag_annotation.jsonl
85
+ - eef_direction_annotation.jsonl
86
+ - eef_velocity_annotation.jsonl
87
+ - gripper_activity_annotation.jsonl
88
+ - gripper_mode_annotation.jsonl
89
+ - scene_annotations.jsonl
90
+ - subtask_annotations.jsonl
91
+ statistics:
92
+ total_episodes: 50
93
+ total_frames: 9073
94
+ fps: 30
95
+ total_tasks: 6
96
+ total_videos: 200
97
+ total_chunks: 1
98
+ chunks_size: 1000
99
+ state_dim: 36
100
+ action_dim: 36
101
+ camera_views: 4
102
+ dataset_size: 339.42 MB
103
+ frame_num: 9073
104
+ dataset_size: 339.42 MB
105
+ data_structure: 'Airbot_MMK2_Airbot_MMK2_stack_bowl_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_front_rgb
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.images.cam_front_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
+ - 36
261
+ names:
262
+ - left_arm_joint_1_rad
263
+ - left_arm_joint_2_rad
264
+ - left_arm_joint_3_rad
265
+ - left_arm_joint_4_rad
266
+ - left_arm_joint_5_rad
267
+ - left_arm_joint_6_rad
268
+ - right_arm_joint_1_rad
269
+ - right_arm_joint_2_rad
270
+ - right_arm_joint_3_rad
271
+ - right_arm_joint_4_rad
272
+ - right_arm_joint_5_rad
273
+ - right_arm_joint_6_rad
274
+ - left_hand_joint_1_rad
275
+ - left_hand_joint_2_rad
276
+ - left_hand_joint_3_rad
277
+ - left_hand_joint_4_rad
278
+ - left_hand_joint_5_rad
279
+ - left_hand_joint_6_rad
280
+ - left_hand_joint_7_rad
281
+ - left_hand_joint_8_rad
282
+ - left_hand_joint_9_rad
283
+ - left_hand_joint_10_rad
284
+ - left_hand_joint_11_rad
285
+ - left_hand_joint_12_rad
286
+ - right_hand_joint_1_rad
287
+ - right_hand_joint_2_rad
288
+ - right_hand_joint_3_rad
289
+ - right_hand_joint_4_rad
290
+ - right_hand_joint_5_rad
291
+ - right_hand_joint_6_rad
292
+ - right_hand_joint_7_rad
293
+ - right_hand_joint_8_rad
294
+ - right_hand_joint_9_rad
295
+ - right_hand_joint_10_rad
296
+ - right_hand_joint_11_rad
297
+ - right_hand_joint_12_rad
298
+ action:
299
+ dtype: float32
300
+ shape:
301
+ - 36
302
+ names:
303
+ - left_arm_joint_1_rad
304
+ - left_arm_joint_2_rad
305
+ - left_arm_joint_3_rad
306
+ - left_arm_joint_4_rad
307
+ - left_arm_joint_5_rad
308
+ - left_arm_joint_6_rad
309
+ - 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
+ - left_hand_joint_1_rad
316
+ - left_hand_joint_2_rad
317
+ - left_hand_joint_3_rad
318
+ - left_hand_joint_4_rad
319
+ - left_hand_joint_5_rad
320
+ - left_hand_joint_6_rad
321
+ - left_hand_joint_7_rad
322
+ - left_hand_joint_8_rad
323
+ - left_hand_joint_9_rad
324
+ - left_hand_joint_10_rad
325
+ - left_hand_joint_11_rad
326
+ - left_hand_joint_12_rad
327
+ - right_hand_joint_1_rad
328
+ - right_hand_joint_2_rad
329
+ - right_hand_joint_3_rad
330
+ - right_hand_joint_4_rad
331
+ - right_hand_joint_5_rad
332
+ - right_hand_joint_6_rad
333
+ - right_hand_joint_7_rad
334
+ - right_hand_joint_8_rad
335
+ - right_hand_joint_9_rad
336
+ - right_hand_joint_10_rad
337
+ - right_hand_joint_11_rad
338
+ - right_hand_joint_12_rad
339
+ timestamp:
340
+ dtype: float32
341
+ shape:
342
+ - 1
343
+ names: null
344
+ frame_index:
345
+ dtype: int64
346
+ shape:
347
+ - 1
348
+ names: null
349
+ episode_index:
350
+ dtype: int64
351
+ shape:
352
+ - 1
353
+ names: null
354
+ index:
355
+ dtype: int64
356
+ shape:
357
+ - 1
358
+ names: null
359
+ task_index:
360
+ dtype: int64
361
+ shape:
362
+ - 1
363
+ names: null
364
+ subtask_annotation:
365
+ names: null
366
+ shape:
367
+ - 5
368
+ dtype: int32
369
+ scene_annotation:
370
+ names: null
371
+ shape:
372
+ - 1
373
+ dtype: int32
374
+ eef_sim_pose_state:
375
+ names:
376
+ - left_eef_pos_x
377
+ - left_eef_pos_y
378
+ - left_eef_pos_z
379
+ - left_eef_rot_x
380
+ - left_eef_rot_y
381
+ - left_eef_rot_z
382
+ - right_eef_pos_x
383
+ - right_eef_pos_y
384
+ - right_eef_pos_z
385
+ - right_eef_rot_x
386
+ - right_eef_rot_y
387
+ - right_eef_rot_z
388
+ shape:
389
+ - 12
390
+ dtype: float32
391
+ eef_sim_pose_action:
392
+ names:
393
+ - left_eef_pos_x
394
+ - left_eef_pos_y
395
+ - left_eef_pos_z
396
+ - left_eef_rot_x
397
+ - left_eef_rot_y
398
+ - left_eef_rot_z
399
+ - right_eef_pos_x
400
+ - right_eef_pos_y
401
+ - right_eef_pos_z
402
+ - right_eef_rot_x
403
+ - right_eef_rot_y
404
+ - right_eef_rot_z
405
+ shape:
406
+ - 12
407
+ dtype: float32
408
+ eef_direction_state:
409
+ names:
410
+ - left_eef_direction
411
+ - right_eef_direction
412
+ shape:
413
+ - 2
414
+ dtype: int32
415
+ eef_direction_action:
416
+ names:
417
+ - left_eef_direction
418
+ - right_eef_direction
419
+ shape:
420
+ - 2
421
+ dtype: int32
422
+ eef_velocity_state:
423
+ names:
424
+ - left_eef_velocity
425
+ - right_eef_velocity
426
+ shape:
427
+ - 2
428
+ dtype: int32
429
+ eef_velocity_action:
430
+ names:
431
+ - left_eef_velocity
432
+ - right_eef_velocity
433
+ shape:
434
+ - 2
435
+ dtype: int32
436
+ eef_acc_mag_state:
437
+ names:
438
+ - left_eef_acc_mag
439
+ - right_eef_acc_mag
440
+ shape:
441
+ - 2
442
+ dtype: int32
443
+ eef_acc_mag_action:
444
+ names:
445
+ - left_eef_acc_mag
446
+ - right_eef_acc_mag
447
+ shape:
448
+ - 2
449
+ dtype: int32
450
+ 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_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_block_BBs.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: Airbot_MMK2_storage_block_BBs
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: scene_level1
27
+ level2: scene_level2
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: null
35
+ level1: bb_pellets
36
+ level2: ball
37
+ level3: bb_pellets
38
+ level4: null
39
+ level5: null
40
+ - object_name: null
41
+ level1: bowl
42
+ level2: bowl
43
+ level3: bowl
44
+ level4: null
45
+ level5: null
46
+ - object_name: null
47
+ level1: building_blocks
48
+ level2: rectangular_building_blocks
49
+ level3: building_blocks
50
+ level4: null
51
+ level5: null
52
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
53
+ the operation type information.
54
+ task_instruction:
55
+ - put the bb pellets and rectangular building blocks into the bowl.
56
+ sub_tasks:
57
+ - subtask: Place the green cuboid block into the bowl with the right gripper
58
+ subtask_index: 0
59
+ - subtask: Grasp the green cuboid block with the right gripper
60
+ subtask_index: 1
61
+ - subtask: Grasp the bullet with the left gripper
62
+ subtask_index: 2
63
+ - subtask: Place the bullet into the bowl with the left gripper
64
+ subtask_index: 3
65
+ - subtask: End
66
+ subtask_index: 4
67
+ - subtask: 'null'
68
+ subtask_index: 5
69
+ atomic_actions:
70
+ - pick
71
+ - clip
72
+ - place
73
+ - lift
74
+ robot_name:
75
+ - Airbot_MMK2
76
+ end_effector_type: five_finger_gripper
77
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
78
+ type information.
79
+ sensor_list:
80
+ - cam_head_rgb
81
+ - cam_left_wrist_rgb
82
+ - cam_right_wrist_rgb
83
+ - cam_front_rgb
84
+ came_info:
85
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
86
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
87
+ pix_fmt=yuv420p
88
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
91
+ depth_enabled: false
92
+ coordinate_definition: right-hand-frame
93
+ joint_rotation_dim: radian
94
+ end_rotation_dim: end_rotation_dim
95
+ end_translation_dim: end_translation_dim
96
+ annotations:
97
+ - eef_acc_mag_annotation.jsonl
98
+ - eef_direction_annotation.jsonl
99
+ - eef_velocity_annotation.jsonl
100
+ - gripper_activity_annotation.jsonl
101
+ - gripper_mode_annotation.jsonl
102
+ - scene_annotations.jsonl
103
+ - subtask_annotations.jsonl
104
+ statistics:
105
+ total_episodes: 48
106
+ total_frames: 8640
107
+ fps: 30
108
+ total_tasks: 6
109
+ total_videos: 192
110
+ total_chunks: 1
111
+ chunks_size: 1000
112
+ state_dim: 36
113
+ action_dim: 36
114
+ camera_views: 4
115
+ dataset_size: 282.66 MB
116
+ frame_num: 8640
117
+ dataset_size: 282.66 MB
118
+ data_structure: 'Airbot_MMK2_storage_block_BBs_qced_hardlink/
119
+
120
+ |-- annotations
121
+
122
+ | |-- eef_acc_mag_annotation.jsonl
123
+
124
+ | |-- eef_direction_annotation.jsonl
125
+
126
+ | |-- eef_velocity_annotation.jsonl
127
+
128
+ | |-- gripper_activity_annotation.jsonl
129
+
130
+ | |-- gripper_mode_annotation.jsonl
131
+
132
+ | |-- scene_annotations.jsonl
133
+
134
+ | `-- subtask_annotations.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
+ | `-- ... (36 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_front_rgb
181
+
182
+ | |-- observation.images.cam_head_rgb
183
+
184
+ | |-- observation.images.cam_left_wrist_rgb
185
+
186
+ | `-- observation.images.cam_right_wrist_rgb
187
+
188
+ |-- info.yaml
189
+
190
+ `-- README.md'
191
+ splits:
192
+ train: 0:47
193
+ features:
194
+ observation.images.cam_head_rgb:
195
+ dtype: video
196
+ shape:
197
+ - 480
198
+ - 640
199
+ - 3
200
+ names:
201
+ - height
202
+ - width
203
+ - channels
204
+ info:
205
+ video.height: 480
206
+ video.width: 640
207
+ video.codec: av1
208
+ video.pix_fmt: yuv420p
209
+ video.is_depth_map: false
210
+ video.fps: 30
211
+ video.channels: 3
212
+ has_audio: false
213
+ observation.images.cam_left_wrist_rgb:
214
+ dtype: video
215
+ shape:
216
+ - 480
217
+ - 640
218
+ - 3
219
+ names:
220
+ - height
221
+ - width
222
+ - channels
223
+ info:
224
+ video.height: 480
225
+ video.width: 640
226
+ video.codec: av1
227
+ video.pix_fmt: yuv420p
228
+ video.is_depth_map: false
229
+ video.fps: 30
230
+ video.channels: 3
231
+ has_audio: false
232
+ observation.images.cam_right_wrist_rgb:
233
+ dtype: video
234
+ shape:
235
+ - 480
236
+ - 640
237
+ - 3
238
+ names:
239
+ - height
240
+ - width
241
+ - channels
242
+ info:
243
+ video.height: 480
244
+ video.width: 640
245
+ video.codec: av1
246
+ video.pix_fmt: yuv420p
247
+ video.is_depth_map: false
248
+ video.fps: 30
249
+ video.channels: 3
250
+ has_audio: false
251
+ observation.images.cam_front_rgb:
252
+ dtype: video
253
+ shape:
254
+ - 480
255
+ - 640
256
+ - 3
257
+ names:
258
+ - height
259
+ - width
260
+ - channels
261
+ info:
262
+ video.height: 480
263
+ video.width: 640
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
+ - 36
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
+ - right_arm_joint_1_rad
282
+ - right_arm_joint_2_rad
283
+ - right_arm_joint_3_rad
284
+ - right_arm_joint_4_rad
285
+ - right_arm_joint_5_rad
286
+ - right_arm_joint_6_rad
287
+ - left_hand_joint_1_rad
288
+ - left_hand_joint_2_rad
289
+ - left_hand_joint_3_rad
290
+ - left_hand_joint_4_rad
291
+ - left_hand_joint_5_rad
292
+ - left_hand_joint_6_rad
293
+ - left_hand_joint_7_rad
294
+ - left_hand_joint_8_rad
295
+ - left_hand_joint_9_rad
296
+ - left_hand_joint_10_rad
297
+ - left_hand_joint_11_rad
298
+ - left_hand_joint_12_rad
299
+ - right_hand_joint_1_rad
300
+ - right_hand_joint_2_rad
301
+ - right_hand_joint_3_rad
302
+ - right_hand_joint_4_rad
303
+ - right_hand_joint_5_rad
304
+ - right_hand_joint_6_rad
305
+ - right_hand_joint_7_rad
306
+ - right_hand_joint_8_rad
307
+ - right_hand_joint_9_rad
308
+ - right_hand_joint_10_rad
309
+ - right_hand_joint_11_rad
310
+ - right_hand_joint_12_rad
311
+ action:
312
+ dtype: float32
313
+ shape:
314
+ - 36
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
+ - right_arm_joint_1_rad
323
+ - right_arm_joint_2_rad
324
+ - right_arm_joint_3_rad
325
+ - right_arm_joint_4_rad
326
+ - right_arm_joint_5_rad
327
+ - right_arm_joint_6_rad
328
+ - left_hand_joint_1_rad
329
+ - left_hand_joint_2_rad
330
+ - left_hand_joint_3_rad
331
+ - left_hand_joint_4_rad
332
+ - left_hand_joint_5_rad
333
+ - left_hand_joint_6_rad
334
+ - left_hand_joint_7_rad
335
+ - left_hand_joint_8_rad
336
+ - left_hand_joint_9_rad
337
+ - left_hand_joint_10_rad
338
+ - left_hand_joint_11_rad
339
+ - left_hand_joint_12_rad
340
+ - right_hand_joint_1_rad
341
+ - right_hand_joint_2_rad
342
+ - right_hand_joint_3_rad
343
+ - right_hand_joint_4_rad
344
+ - right_hand_joint_5_rad
345
+ - right_hand_joint_6_rad
346
+ - right_hand_joint_7_rad
347
+ - right_hand_joint_8_rad
348
+ - right_hand_joint_9_rad
349
+ - right_hand_joint_10_rad
350
+ - right_hand_joint_11_rad
351
+ - right_hand_joint_12_rad
352
+ timestamp:
353
+ dtype: float32
354
+ shape:
355
+ - 1
356
+ names: null
357
+ frame_index:
358
+ dtype: int64
359
+ shape:
360
+ - 1
361
+ names: null
362
+ episode_index:
363
+ dtype: int64
364
+ shape:
365
+ - 1
366
+ names: null
367
+ index:
368
+ dtype: int64
369
+ shape:
370
+ - 1
371
+ names: null
372
+ task_index:
373
+ dtype: int64
374
+ shape:
375
+ - 1
376
+ names: null
377
+ subtask_annotation:
378
+ names: null
379
+ shape:
380
+ - 5
381
+ dtype: int32
382
+ scene_annotation:
383
+ names: null
384
+ shape:
385
+ - 1
386
+ dtype: int32
387
+ eef_sim_pose_state:
388
+ names:
389
+ - left_eef_pos_x
390
+ - left_eef_pos_y
391
+ - left_eef_pos_z
392
+ - left_eef_rot_x
393
+ - left_eef_rot_y
394
+ - left_eef_rot_z
395
+ - right_eef_pos_x
396
+ - right_eef_pos_y
397
+ - right_eef_pos_z
398
+ - right_eef_rot_x
399
+ - right_eef_rot_y
400
+ - right_eef_rot_z
401
+ shape:
402
+ - 12
403
+ dtype: float32
404
+ eef_sim_pose_action:
405
+ names:
406
+ - left_eef_pos_x
407
+ - left_eef_pos_y
408
+ - left_eef_pos_z
409
+ - left_eef_rot_x
410
+ - left_eef_rot_y
411
+ - left_eef_rot_z
412
+ - right_eef_pos_x
413
+ - right_eef_pos_y
414
+ - right_eef_pos_z
415
+ - right_eef_rot_x
416
+ - right_eef_rot_y
417
+ - right_eef_rot_z
418
+ shape:
419
+ - 12
420
+ dtype: float32
421
+ eef_direction_state:
422
+ names:
423
+ - left_eef_direction
424
+ - right_eef_direction
425
+ shape:
426
+ - 2
427
+ dtype: int32
428
+ eef_direction_action:
429
+ names:
430
+ - left_eef_direction
431
+ - right_eef_direction
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ eef_velocity_state:
436
+ names:
437
+ - left_eef_velocity
438
+ - right_eef_velocity
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ eef_velocity_action:
443
+ names:
444
+ - left_eef_velocity
445
+ - right_eef_velocity
446
+ shape:
447
+ - 2
448
+ dtype: int32
449
+ eef_acc_mag_state:
450
+ names:
451
+ - left_eef_acc_mag
452
+ - right_eef_acc_mag
453
+ shape:
454
+ - 2
455
+ dtype: int32
456
+ eef_acc_mag_action:
457
+ names:
458
+ - left_eef_acc_mag
459
+ - right_eef_acc_mag
460
+ shape:
461
+ - 2
462
+ dtype: int32
463
+ authors:
464
+ contributed_by:
465
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
466
+ dataset_description: This dataset uses an extended format based on LeRobot and is
467
+ fully compatible with LeRobot.
468
+ homepage: https://flagopen.github.io/RoboCOIN/
469
+ paper: https://arxiv.org/abs/2511.17441
470
+ repository: https://github.com/FlagOpen/RoboCOIN
471
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
472
+ us.
473
+ support_info: For technical support, please open an issue on our GitHub repository.
474
+ license_details: apache-2.0
475
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
476
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
477
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
478
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
479
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
480
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
481
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
482
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
483
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
484
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
485
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
486
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
487
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
488
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
489
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
490
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
491
+ additional_citations: 'If you use this dataset, please also consider citing:
492
+
493
+ LeRobot Framework: https://github.com/huggingface/lerobot
494
+
495
+ '
496
+ version_info: Initial Release
497
+ data_path: data/chunk-{id}/episode_{id}.parquet
498
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
499
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_block_tape_measure.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: Airbot_MMK2_storage_block_tape_measure
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: ruler_set
35
+ level1: stationery
36
+ level2: ruler_set
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: building_blocks
41
+ level1: toys
42
+ level2: building_blocks
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: bowl
47
+ level1: kitchen_supplies
48
+ level2: bowl
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: plate
53
+ level1: kitchen_supplies
54
+ level2: plate
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
59
+ the operation type information.
60
+ task_instruction:
61
+ - place the building blocks in the bowl with left hand and the ruler in the plate
62
+ with right hand.
63
+ sub_tasks:
64
+ - subtask: Place the tape measure into the pink plate with the right gripper
65
+ subtask_index: 0
66
+ - subtask: Grasp the tape measure with the right gripper
67
+ subtask_index: 1
68
+ - subtask: Place the green rectangular block into the blue bowl with the left gripper
69
+ subtask_index: 2
70
+ - subtask: Static
71
+ subtask_index: 3
72
+ - subtask: Grasp the green rectangular block with the left gripper
73
+ subtask_index: 4
74
+ - subtask: Abnormal
75
+ subtask_index: 5
76
+ - subtask: End
77
+ subtask_index: 6
78
+ - subtask: 'null'
79
+ subtask_index: 7
80
+ atomic_actions:
81
+ - grasp
82
+ - pick
83
+ - place
84
+ robot_name:
85
+ - Airbot_MMK2
86
+ end_effector_type: five_finger_gripper
87
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
88
+ type information.
89
+ sensor_list:
90
+ - cam_head_rgb
91
+ - cam_left_wrist_rgb
92
+ - cam_right_wrist_rgb
93
+ - cam_front_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
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
101
+ depth_enabled: false
102
+ coordinate_definition: right-hand-frame
103
+ joint_rotation_dim: radian
104
+ end_rotation_dim: end_rotation_dim
105
+ end_translation_dim: end_translation_dim
106
+ annotations:
107
+ - eef_acc_mag_annotation.jsonl
108
+ - eef_direction_annotation.jsonl
109
+ - eef_velocity_annotation.jsonl
110
+ - gripper_activity_annotation.jsonl
111
+ - gripper_mode_annotation.jsonl
112
+ - scene_annotations.jsonl
113
+ - subtask_annotations.jsonl
114
+ statistics:
115
+ total_episodes: 48
116
+ total_frames: 8921
117
+ fps: 30
118
+ total_tasks: 8
119
+ total_videos: 192
120
+ total_chunks: 1
121
+ chunks_size: 1000
122
+ state_dim: 36
123
+ action_dim: 36
124
+ camera_views: 4
125
+ dataset_size: 371.90 MB
126
+ frame_num: 8921
127
+ dataset_size: 371.90 MB
128
+ data_structure: 'Airbot_MMK2_storage_block_tape_measure_qced_hardlink/
129
+
130
+ |-- annotations
131
+
132
+ | |-- eef_acc_mag_annotation.jsonl
133
+
134
+ | |-- eef_direction_annotation.jsonl
135
+
136
+ | |-- eef_velocity_annotation.jsonl
137
+
138
+ | |-- gripper_activity_annotation.jsonl
139
+
140
+ | |-- gripper_mode_annotation.jsonl
141
+
142
+ | |-- scene_annotations.jsonl
143
+
144
+ | `-- subtask_annotations.jsonl
145
+
146
+ |-- data
147
+
148
+ | `-- chunk-000
149
+
150
+ | |-- episode_000000.parquet
151
+
152
+ | |-- episode_000001.parquet
153
+
154
+ | |-- episode_000002.parquet
155
+
156
+ | |-- episode_000003.parquet
157
+
158
+ | |-- episode_000004.parquet
159
+
160
+ | |-- episode_000005.parquet
161
+
162
+ | |-- episode_000006.parquet
163
+
164
+ | |-- episode_000007.parquet
165
+
166
+ | |-- episode_000008.parquet
167
+
168
+ | |-- episode_000009.parquet
169
+
170
+ | |-- episode_000010.parquet
171
+
172
+ | `-- episode_000011.parquet
173
+
174
+ | `-- ... (36 more entries)
175
+
176
+ |-- meta
177
+
178
+ | |-- episodes.jsonl
179
+
180
+ | |-- episodes_stats.jsonl
181
+
182
+ | |-- info.json
183
+
184
+ | `-- tasks.jsonl
185
+
186
+ |-- videos
187
+
188
+ | `-- chunk-000
189
+
190
+ | |-- observation.images.cam_front_rgb
191
+
192
+ | |-- observation.images.cam_head_rgb
193
+
194
+ | |-- observation.images.cam_left_wrist_rgb
195
+
196
+ | `-- observation.images.cam_right_wrist_rgb
197
+
198
+ |-- info.yaml
199
+
200
+ `-- README.md'
201
+ splits:
202
+ train: 0:47
203
+ features:
204
+ observation.images.cam_head_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_left_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.images.cam_right_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_front_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
+ - 36
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
+ - 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
+ - left_hand_joint_1_rad
298
+ - left_hand_joint_2_rad
299
+ - left_hand_joint_3_rad
300
+ - left_hand_joint_4_rad
301
+ - left_hand_joint_5_rad
302
+ - left_hand_joint_6_rad
303
+ - left_hand_joint_7_rad
304
+ - left_hand_joint_8_rad
305
+ - left_hand_joint_9_rad
306
+ - left_hand_joint_10_rad
307
+ - left_hand_joint_11_rad
308
+ - left_hand_joint_12_rad
309
+ - right_hand_joint_1_rad
310
+ - right_hand_joint_2_rad
311
+ - right_hand_joint_3_rad
312
+ - right_hand_joint_4_rad
313
+ - right_hand_joint_5_rad
314
+ - right_hand_joint_6_rad
315
+ - right_hand_joint_7_rad
316
+ - right_hand_joint_8_rad
317
+ - right_hand_joint_9_rad
318
+ - right_hand_joint_10_rad
319
+ - right_hand_joint_11_rad
320
+ - right_hand_joint_12_rad
321
+ action:
322
+ dtype: float32
323
+ shape:
324
+ - 36
325
+ names:
326
+ - left_arm_joint_1_rad
327
+ - left_arm_joint_2_rad
328
+ - left_arm_joint_3_rad
329
+ - left_arm_joint_4_rad
330
+ - left_arm_joint_5_rad
331
+ - left_arm_joint_6_rad
332
+ - right_arm_joint_1_rad
333
+ - right_arm_joint_2_rad
334
+ - right_arm_joint_3_rad
335
+ - right_arm_joint_4_rad
336
+ - right_arm_joint_5_rad
337
+ - right_arm_joint_6_rad
338
+ - left_hand_joint_1_rad
339
+ - left_hand_joint_2_rad
340
+ - left_hand_joint_3_rad
341
+ - left_hand_joint_4_rad
342
+ - left_hand_joint_5_rad
343
+ - left_hand_joint_6_rad
344
+ - left_hand_joint_7_rad
345
+ - left_hand_joint_8_rad
346
+ - left_hand_joint_9_rad
347
+ - left_hand_joint_10_rad
348
+ - left_hand_joint_11_rad
349
+ - left_hand_joint_12_rad
350
+ - right_hand_joint_1_rad
351
+ - right_hand_joint_2_rad
352
+ - right_hand_joint_3_rad
353
+ - right_hand_joint_4_rad
354
+ - right_hand_joint_5_rad
355
+ - right_hand_joint_6_rad
356
+ - right_hand_joint_7_rad
357
+ - right_hand_joint_8_rad
358
+ - right_hand_joint_9_rad
359
+ - right_hand_joint_10_rad
360
+ - right_hand_joint_11_rad
361
+ - right_hand_joint_12_rad
362
+ timestamp:
363
+ dtype: float32
364
+ shape:
365
+ - 1
366
+ names: null
367
+ frame_index:
368
+ dtype: int64
369
+ shape:
370
+ - 1
371
+ names: null
372
+ episode_index:
373
+ dtype: int64
374
+ shape:
375
+ - 1
376
+ names: null
377
+ index:
378
+ dtype: int64
379
+ shape:
380
+ - 1
381
+ names: null
382
+ task_index:
383
+ dtype: int64
384
+ shape:
385
+ - 1
386
+ names: null
387
+ subtask_annotation:
388
+ names: null
389
+ shape:
390
+ - 5
391
+ dtype: int32
392
+ scene_annotation:
393
+ names: null
394
+ shape:
395
+ - 1
396
+ dtype: int32
397
+ eef_sim_pose_state:
398
+ names:
399
+ - left_eef_pos_x
400
+ - left_eef_pos_y
401
+ - left_eef_pos_z
402
+ - left_eef_rot_x
403
+ - left_eef_rot_y
404
+ - left_eef_rot_z
405
+ - right_eef_pos_x
406
+ - right_eef_pos_y
407
+ - right_eef_pos_z
408
+ - right_eef_rot_x
409
+ - right_eef_rot_y
410
+ - right_eef_rot_z
411
+ shape:
412
+ - 12
413
+ dtype: float32
414
+ eef_sim_pose_action:
415
+ names:
416
+ - left_eef_pos_x
417
+ - left_eef_pos_y
418
+ - left_eef_pos_z
419
+ - left_eef_rot_x
420
+ - left_eef_rot_y
421
+ - left_eef_rot_z
422
+ - right_eef_pos_x
423
+ - right_eef_pos_y
424
+ - right_eef_pos_z
425
+ - right_eef_rot_x
426
+ - right_eef_rot_y
427
+ - right_eef_rot_z
428
+ shape:
429
+ - 12
430
+ dtype: float32
431
+ eef_direction_state:
432
+ names:
433
+ - left_eef_direction
434
+ - right_eef_direction
435
+ shape:
436
+ - 2
437
+ dtype: int32
438
+ eef_direction_action:
439
+ names:
440
+ - left_eef_direction
441
+ - right_eef_direction
442
+ shape:
443
+ - 2
444
+ dtype: int32
445
+ eef_velocity_state:
446
+ names:
447
+ - left_eef_velocity
448
+ - right_eef_velocity
449
+ shape:
450
+ - 2
451
+ dtype: int32
452
+ eef_velocity_action:
453
+ names:
454
+ - left_eef_velocity
455
+ - right_eef_velocity
456
+ shape:
457
+ - 2
458
+ dtype: int32
459
+ eef_acc_mag_state:
460
+ names:
461
+ - left_eef_acc_mag
462
+ - right_eef_acc_mag
463
+ shape:
464
+ - 2
465
+ dtype: int32
466
+ eef_acc_mag_action:
467
+ names:
468
+ - left_eef_acc_mag
469
+ - right_eef_acc_mag
470
+ shape:
471
+ - 2
472
+ dtype: int32
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_front_rgb/episode_000000.mp4
dataset_info/Airbot_MMK2_storage_bowl_wet_wipes.yaml CHANGED
@@ -1,30 +1,51 @@
1
- path: Airbot_MMK2_storage_bowl_wet_wipes
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_storage_bowl_wet_wipes
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Place the wet wipes into the bowl with the left gripper
12
  objects:
13
  - object_name: table
14
- level1: furniture
15
  level2: table
16
  level3: null
17
  level4: null
18
  level5: null
19
- - object_name: rectangular_plate
20
  level1: kitchen_supplies
21
- level2: rectangular_plate
22
  level3: null
23
  level4: null
24
  level5: null
25
- - object_name: plastic_bowls
26
  level1: kitchen_supplies
27
- level2: plastic_bowls
28
  level3: null
29
  level4: null
30
  level5: null
@@ -34,112 +55,452 @@ objects:
34
  level3: null
35
  level4: null
36
  level5: null
37
- operation_platform_height: 77.2
38
- frame_range: 0-13058
39
- dataset_size: 425.0MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
40
  statistics:
41
  total_episodes: 50
42
  total_frames: 13058
43
- total_tasks: 1
 
44
  total_videos: 200
45
  total_chunks: 1
46
  chunks_size: 1000
47
- fps: 30
48
- dataset_uuid: 02ae73d2-a9a0-465e-af14-eabdbfb11aa1
49
- language:
50
- - en
51
- - zh
52
- task_categories:
53
- - robotics
54
- sub_tasks:
55
- - Place the wet wipes into the bowl with the left gripper
56
- - Place the bowl on the plate with the right gripper
57
- - Static
58
- - Grasp the wet wipes with the left gripper
59
- - End
60
- - Grasp the bowl with the right gripper
61
- - 'null'
62
- annotations:
63
- subtask_annotation: auto_generated
64
- scene_annotation: auto_generated
65
- eef_direction: auto_generated
66
- eef_velocity: auto_generated
67
- eef_acc_mag: auto_generated
68
- gripper_mode: auto_generated
69
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
70
  authors:
71
  contributed_by:
72
- - name: RoboCOIN
73
- url: https://flagopen.github.io/RoboCOIN/
74
- affiliation: RoboCOIN Team
75
- annotated_by:
76
- - name: RoboCOIN
77
- url: https://flagopen.github.io/RoboCOIN/
78
- affiliation: RoboCOIN Team
79
  homepage: https://flagopen.github.io/RoboCOIN/
80
  paper: https://arxiv.org/abs/2511.17441
81
  repository: https://github.com/FlagOpen/RoboCOIN
82
- license: apache-2.0
83
- tags:
84
- - RoboCOIN
85
- - LeRobot
86
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
87
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
88
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
89
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
90
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
91
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
92
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
93
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
94
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
95
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
96
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
97
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
98
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
99
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
100
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
101
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
102
- \ }"
103
- depth_enabled: false
104
- data_schema: "Airbot_MMK2_storage_bowl_wet_wipes_qced_hardlink/\n├── annotations/\n\
105
- │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\
106
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
107
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
108
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
109
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
110
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
111
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
112
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
113
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
114
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
115
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
116
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
117
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
118
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├─�� episode_000000.mp4\n\
119
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
120
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
121
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
122
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
123
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
124
- \ (...)"
125
- structure: "Airbot_MMK2_storage_bowl_wet_wipes_qced_hardlink/\n├── annotations/\n\
126
- │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\
127
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
128
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
129
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
130
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
131
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
132
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
133
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
134
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
135
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
136
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
137
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
138
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
139
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
140
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
141
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
142
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
143
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
144
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
145
- \ (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_storage_bowl_wet_wipes
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: commercial_convenience
27
+ level2: supermarket
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
  objects:
34
  - object_name: table
35
+ level1: home_storage
36
  level2: table
37
  level3: null
38
  level4: null
39
  level5: null
40
+ - object_name: plastic_bowls
41
  level1: kitchen_supplies
42
+ level2: plastic_bowls
43
  level3: null
44
  level4: null
45
  level5: null
46
+ - object_name: rectangular_plate
47
  level1: kitchen_supplies
48
+ level2: rectangular_plate
49
  level3: null
50
  level4: null
51
  level5: null
 
55
  level3: null
56
  level4: null
57
  level5: null
58
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
59
+ the operation type information.
60
+ task_instruction:
61
+ - put the bowl and wet wipes on the plate.
62
+ sub_tasks:
63
+ - subtask: Place the wet wipes into the bowl with the left gripper
64
+ subtask_index: 0
65
+ - subtask: Place the bowl on the plate with the right gripper
66
+ subtask_index: 1
67
+ - subtask: Static
68
+ subtask_index: 2
69
+ - subtask: Grasp the wet wipes with the left gripper
70
+ subtask_index: 3
71
+ - subtask: End
72
+ subtask_index: 4
73
+ - subtask: Grasp the bowl with the right gripper
74
+ subtask_index: 5
75
+ - subtask: 'null'
76
+ subtask_index: 6
77
+ atomic_actions:
78
+ - grasp
79
+ - pick
80
+ - place
81
+ robot_name:
82
+ - Airbot_MMK2
83
+ end_effector_type: five_finger_gripper
84
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
85
+ type information.
86
+ sensor_list:
87
+ - cam_head_rgb
88
+ - cam_left_wrist_rgb
89
+ - cam_right_wrist_rgb
90
+ - cam_front_rgb
91
+ came_info:
92
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, 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
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
98
+ depth_enabled: false
99
+ coordinate_definition: right-hand-frame
100
+ joint_rotation_dim: radian
101
+ end_rotation_dim: end_rotation_dim
102
+ end_translation_dim: end_translation_dim
103
+ annotations:
104
+ - eef_acc_mag_annotation.jsonl
105
+ - eef_direction_annotation.jsonl
106
+ - eef_velocity_annotation.jsonl
107
+ - gripper_activity_annotation.jsonl
108
+ - gripper_mode_annotation.jsonl
109
+ - scene_annotations.jsonl
110
+ - subtask_annotations.jsonl
111
  statistics:
112
  total_episodes: 50
113
  total_frames: 13058
114
+ fps: 30
115
+ total_tasks: 7
116
  total_videos: 200
117
  total_chunks: 1
118
  chunks_size: 1000
119
+ state_dim: 36
120
+ action_dim: 36
121
+ camera_views: 4
122
+ dataset_size: 425.41 MB
123
+ frame_num: 13058
124
+ dataset_size: 425.41 MB
125
+ data_structure: 'Airbot_MMK2_storage_bowl_wet_wipes_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
+ |-- data
144
+
145
+ | `-- chunk-000
146
+
147
+ | |-- episode_000000.parquet
148
+
149
+ | |-- episode_000001.parquet
150
+
151
+ | |-- episode_000002.parquet
152
+
153
+ | |-- episode_000003.parquet
154
+
155
+ | |-- episode_000004.parquet
156
+
157
+ | |-- episode_000005.parquet
158
+
159
+ | |-- episode_000006.parquet
160
+
161
+ | |-- episode_000007.parquet
162
+
163
+ | |-- episode_000008.parquet
164
+
165
+ | |-- episode_000009.parquet
166
+
167
+ | |-- episode_000010.parquet
168
+
169
+ | `-- episode_000011.parquet
170
+
171
+ | `-- ... (38 more entries)
172
+
173
+ |-- meta
174
+
175
+ | |-- episodes.jsonl
176
+
177
+ | |-- episodes_stats.jsonl
178
+
179
+ | |-- info.json
180
+
181
+ | `-- tasks.jsonl
182
+
183
+ |-- videos
184
+
185
+ | `-- chunk-000
186
+
187
+ | |-- observation.images.cam_front_rgb
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: 0:49
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.images.cam_front_rgb:
259
+ dtype: video
260
+ shape:
261
+ - 480
262
+ - 640
263
+ - 3
264
+ names:
265
+ - height
266
+ - width
267
+ - channels
268
+ info:
269
+ video.height: 480
270
+ video.width: 640
271
+ video.codec: av1
272
+ video.pix_fmt: yuv420p
273
+ video.is_depth_map: false
274
+ video.fps: 30
275
+ video.channels: 3
276
+ has_audio: false
277
+ observation.state:
278
+ dtype: float32
279
+ shape:
280
+ - 36
281
+ names:
282
+ - left_arm_joint_1_rad
283
+ - left_arm_joint_2_rad
284
+ - left_arm_joint_3_rad
285
+ - left_arm_joint_4_rad
286
+ - left_arm_joint_5_rad
287
+ - left_arm_joint_6_rad
288
+ - 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
+ - left_hand_joint_1_rad
295
+ - left_hand_joint_2_rad
296
+ - left_hand_joint_3_rad
297
+ - left_hand_joint_4_rad
298
+ - left_hand_joint_5_rad
299
+ - left_hand_joint_6_rad
300
+ - left_hand_joint_7_rad
301
+ - left_hand_joint_8_rad
302
+ - left_hand_joint_9_rad
303
+ - left_hand_joint_10_rad
304
+ - left_hand_joint_11_rad
305
+ - left_hand_joint_12_rad
306
+ - right_hand_joint_1_rad
307
+ - right_hand_joint_2_rad
308
+ - right_hand_joint_3_rad
309
+ - right_hand_joint_4_rad
310
+ - right_hand_joint_5_rad
311
+ - right_hand_joint_6_rad
312
+ - right_hand_joint_7_rad
313
+ - right_hand_joint_8_rad
314
+ - right_hand_joint_9_rad
315
+ - right_hand_joint_10_rad
316
+ - right_hand_joint_11_rad
317
+ - right_hand_joint_12_rad
318
+ action:
319
+ dtype: float32
320
+ shape:
321
+ - 36
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
+ - 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
+ - left_hand_joint_1_rad
336
+ - left_hand_joint_2_rad
337
+ - left_hand_joint_3_rad
338
+ - left_hand_joint_4_rad
339
+ - left_hand_joint_5_rad
340
+ - left_hand_joint_6_rad
341
+ - left_hand_joint_7_rad
342
+ - left_hand_joint_8_rad
343
+ - left_hand_joint_9_rad
344
+ - left_hand_joint_10_rad
345
+ - left_hand_joint_11_rad
346
+ - left_hand_joint_12_rad
347
+ - right_hand_joint_1_rad
348
+ - right_hand_joint_2_rad
349
+ - right_hand_joint_3_rad
350
+ - right_hand_joint_4_rad
351
+ - right_hand_joint_5_rad
352
+ - right_hand_joint_6_rad
353
+ - right_hand_joint_7_rad
354
+ - right_hand_joint_8_rad
355
+ - right_hand_joint_9_rad
356
+ - right_hand_joint_10_rad
357
+ - right_hand_joint_11_rad
358
+ - right_hand_joint_12_rad
359
+ timestamp:
360
+ dtype: float32
361
+ shape:
362
+ - 1
363
+ names: null
364
+ frame_index:
365
+ dtype: int64
366
+ shape:
367
+ - 1
368
+ names: null
369
+ episode_index:
370
+ dtype: int64
371
+ shape:
372
+ - 1
373
+ names: null
374
+ index:
375
+ dtype: int64
376
+ shape:
377
+ - 1
378
+ names: null
379
+ task_index:
380
+ dtype: int64
381
+ shape:
382
+ - 1
383
+ names: null
384
+ subtask_annotation:
385
+ names: null
386
+ shape:
387
+ - 5
388
+ dtype: int32
389
+ scene_annotation:
390
+ names: null
391
+ shape:
392
+ - 1
393
+ dtype: int32
394
+ eef_sim_pose_state:
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
+ shape:
409
+ - 12
410
+ dtype: float32
411
+ eef_sim_pose_action:
412
+ names:
413
+ - left_eef_pos_x
414
+ - left_eef_pos_y
415
+ - left_eef_pos_z
416
+ - left_eef_rot_x
417
+ - left_eef_rot_y
418
+ - left_eef_rot_z
419
+ - right_eef_pos_x
420
+ - right_eef_pos_y
421
+ - right_eef_pos_z
422
+ - right_eef_rot_x
423
+ - right_eef_rot_y
424
+ - right_eef_rot_z
425
+ shape:
426
+ - 12
427
+ dtype: float32
428
+ eef_direction_state:
429
+ names:
430
+ - left_eef_direction
431
+ - right_eef_direction
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ eef_direction_action:
436
+ names:
437
+ - left_eef_direction
438
+ - right_eef_direction
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ eef_velocity_state:
443
+ names:
444
+ - left_eef_velocity
445
+ - right_eef_velocity
446
+ shape:
447
+ - 2
448
+ dtype: int32
449
+ eef_velocity_action:
450
+ names:
451
+ - left_eef_velocity
452
+ - right_eef_velocity
453
+ shape:
454
+ - 2
455
+ dtype: int32
456
+ eef_acc_mag_state:
457
+ names:
458
+ - left_eef_acc_mag
459
+ - right_eef_acc_mag
460
+ shape:
461
+ - 2
462
+ dtype: int32
463
+ eef_acc_mag_action:
464
+ names:
465
+ - left_eef_acc_mag
466
+ - right_eef_acc_mag
467
+ shape:
468
+ - 2
469
+ dtype: int32
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_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_storage_braised_pork_belly_shrimp.yaml CHANGED
@@ -1,21 +1,36 @@
1
- path: Airbot_MMK2_storage_braised_pork_belly_shrimp
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  dataset_name: Airbot_MMK2_storage_braised_pork_belly_shrimp
3
- robot_type: ''
4
- end_effector_type:
5
- - five_finger_gripper
6
- scene_type: []
7
- atomic_actions:
8
- - grasp
9
- - pick
10
- - place
11
- tasks: Place the braised pork in brown sauce into the plate with the left gripper
12
- objects:
13
- - object_name: plate
14
- level1: kitchen_supplies
15
- level2: plate
16
  level3: null
17
  level4: null
18
  level5: null
 
 
 
19
  - object_name: shrimp
20
  level1: prepared_dishes
21
  level2: shrimp
@@ -28,112 +43,458 @@ objects:
28
  level3: null
29
  level4: null
30
  level5: null
31
- operation_platform_height: 77.2
32
- frame_range: 0-5834
33
- dataset_size: 277.5MB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34
  statistics:
35
  total_episodes: 38
36
  total_frames: 5834
37
- total_tasks: 1
 
38
  total_videos: 152
39
  total_chunks: 1
40
  chunks_size: 1000
41
- fps: 30
42
- dataset_uuid: bc8cb44a-0607-4499-af4b-29d23baeed6f
43
- language:
44
- - en
45
- - zh
46
- task_categories:
47
- - robotics
48
- sub_tasks:
49
- - Place the braised pork in brown sauce into the plate with the left gripper
50
- - Grasp the shrimp with the right gripper
51
- - Place the shrimp into the plate with the right gripper
52
- - Grasp the cake from the table and with the left gripper
53
- - End
54
- - Grasp the braised pork in brown sauce with the left gripper
55
- - 'null'
56
- annotations:
57
- subtask_annotation: auto_generated
58
- scene_annotation: auto_generated
59
- eef_direction: auto_generated
60
- eef_velocity: auto_generated
61
- eef_acc_mag: auto_generated
62
- gripper_mode: auto_generated
63
- gripper_activity: auto_generated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
64
  authors:
65
  contributed_by:
66
- - name: RoboCOIN
67
- url: https://flagopen.github.io/RoboCOIN/
68
- affiliation: RoboCOIN Team
69
- annotated_by:
70
- - name: RoboCOIN
71
- url: https://flagopen.github.io/RoboCOIN/
72
- affiliation: RoboCOIN Team
73
  homepage: https://flagopen.github.io/RoboCOIN/
74
  paper: https://arxiv.org/abs/2511.17441
75
  repository: https://github.com/FlagOpen/RoboCOIN
76
- license: apache-2.0
77
- tags:
78
- - RoboCOIN
79
- - LeRobot
80
- citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
81
- \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu,\
82
- \ Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai\
83
- \ Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang\
84
- \ Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang,\
85
- \ Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu\
86
- \ Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng\
87
- \ Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu,\
88
- \ Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu\
89
- \ Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng,\
90
- \ Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing\
91
- \ Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang,\
92
- \ YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang,\
93
- \ Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang\
94
- \ Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint\
95
- \ arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025}\n\
96
- \ }"
97
- depth_enabled: false
98
- data_schema: "Airbot_MMK2_storage_braised_pork_belly_shrimp_qced_hardlink/\n├── annotations/\n\
99
- │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\
100
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
101
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
102
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
103
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
104
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
105
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
106
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
107
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
108
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
109
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
110
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
111
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
112
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
113
- \ │ ��── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
114
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
115
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
116
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
117
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
118
- \ (...)"
119
- structure: "Airbot_MMK2_storage_braised_pork_belly_shrimp_qced_hardlink/\n├── annotations/\n\
120
- │ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│\
121
- \ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n\
122
- │ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n\
123
- │ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ \
124
- \ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n\
125
- │ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n\
126
- │ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n \
127
- \ ├── observation.images.cam_high_rgb/\n │ ├── episode_000000.mp4\n \
128
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │\
129
- \ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
130
- \ (...)\n ├── observation.images.cam_left_wrist_rgb/\n │ ├── episode_000000.mp4\n\
131
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
132
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
133
- \ (...)\n ├── observation.images.cam_right_wrist_rgb/\n │ ├── episode_000000.mp4\n\
134
- \ │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n \
135
- \ │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └──\
136
- \ (...)\n └── observation.images.cam_third_view/\n ├── episode_000000.mp4\n\
137
- \ ├── episode_000001.mp4\n ├── episode_000002.mp4\n \
138
- \ ├── episode_000003.mp4\n ├── episode_000004.mp4\n └──\
139
- \ (...)"
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
  dataset_name: Airbot_MMK2_storage_braised_pork_belly_shrimp
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
 
 
 
 
 
 
 
 
 
28
  level3: null
29
  level4: null
30
  level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
  - object_name: shrimp
35
  level1: prepared_dishes
36
  level2: shrimp
 
43
  level3: null
44
  level4: null
45
  level5: null
46
+ - object_name: plate
47
+ level1: plates
48
+ level2: plate
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
53
+ the operation type information.
54
+ task_instruction:
55
+ - put the braised pork and shrimp on the plate
56
+ sub_tasks:
57
+ - subtask: Place the braised pork in brown sauce into the plate with the left gripper
58
+ subtask_index: 0
59
+ - subtask: Grasp the shrimp with the right gripper
60
+ subtask_index: 1
61
+ - subtask: Place the shrimp into the plate with the right gripper
62
+ subtask_index: 2
63
+ - subtask: Grasp the cake from the table and with the left gripper
64
+ subtask_index: 3
65
+ - subtask: End
66
+ subtask_index: 4
67
+ - subtask: Grasp the braised pork in brown sauce with the left gripper
68
+ subtask_index: 5
69
+ - subtask: 'null'
70
+ subtask_index: 6
71
+ atomic_actions:
72
+ - grasp
73
+ - pick
74
+ - place
75
+ robot_name:
76
+ - Airbot_MMK2
77
+ end_effector_type: five_finger_gripper
78
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
79
+ type information.
80
+ sensor_list:
81
+ - cam_head_rgb
82
+ - cam_left_wrist_rgb
83
+ - cam_right_wrist_rgb
84
+ - cam_front_rgb
85
+ came_info:
86
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
87
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
88
+ pix_fmt=yuv420p
89
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
90
+ pix_fmt=yuv420p
91
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
92
+ depth_enabled: false
93
+ coordinate_definition: right-hand-frame
94
+ joint_rotation_dim: radian
95
+ end_rotation_dim: end_rotation_dim
96
+ end_translation_dim: end_translation_dim
97
+ annotations:
98
+ - eef_acc_mag_annotation.jsonl
99
+ - eef_direction_annotation.jsonl
100
+ - eef_velocity_annotation.jsonl
101
+ - gripper_activity_annotation.jsonl
102
+ - gripper_mode_annotation.jsonl
103
+ - scene_annotations.jsonl
104
+ - subtask_annotations.jsonl
105
  statistics:
106
  total_episodes: 38
107
  total_frames: 5834
108
+ fps: 30
109
+ total_tasks: 7
110
  total_videos: 152
111
  total_chunks: 1
112
  chunks_size: 1000
113
+ state_dim: 36
114
+ action_dim: 36
115
+ camera_views: 4
116
+ dataset_size: 277.59 MB
117
+ frame_num: 5834
118
+ dataset_size: 277.59 MB
119
+ data_structure: 'Airbot_MMK2_storage_braised_pork_belly_shrimp_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
+ | `-- ... (26 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_front_rgb
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: 0:37
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.images.cam_front_rgb:
253
+ dtype: video
254
+ shape:
255
+ - 480
256
+ - 640
257
+ - 3
258
+ names:
259
+ - height
260
+ - width
261
+ - channels
262
+ info:
263
+ video.height: 480
264
+ video.width: 640
265
+ video.codec: av1
266
+ video.pix_fmt: yuv420p
267
+ video.is_depth_map: false
268
+ video.fps: 30
269
+ video.channels: 3
270
+ has_audio: false
271
+ observation.state:
272
+ dtype: float32
273
+ shape:
274
+ - 36
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
+ - 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
+ - left_hand_joint_1_rad
289
+ - left_hand_joint_2_rad
290
+ - left_hand_joint_3_rad
291
+ - left_hand_joint_4_rad
292
+ - left_hand_joint_5_rad
293
+ - left_hand_joint_6_rad
294
+ - left_hand_joint_7_rad
295
+ - left_hand_joint_8_rad
296
+ - left_hand_joint_9_rad
297
+ - left_hand_joint_10_rad
298
+ - left_hand_joint_11_rad
299
+ - left_hand_joint_12_rad
300
+ - right_hand_joint_1_rad
301
+ - right_hand_joint_2_rad
302
+ - right_hand_joint_3_rad
303
+ - right_hand_joint_4_rad
304
+ - right_hand_joint_5_rad
305
+ - right_hand_joint_6_rad
306
+ - right_hand_joint_7_rad
307
+ - right_hand_joint_8_rad
308
+ - right_hand_joint_9_rad
309
+ - right_hand_joint_10_rad
310
+ - right_hand_joint_11_rad
311
+ - right_hand_joint_12_rad
312
+ action:
313
+ dtype: float32
314
+ shape:
315
+ - 36
316
+ names:
317
+ - left_arm_joint_1_rad
318
+ - left_arm_joint_2_rad
319
+ - left_arm_joint_3_rad
320
+ - left_arm_joint_4_rad
321
+ - left_arm_joint_5_rad
322
+ - left_arm_joint_6_rad
323
+ - right_arm_joint_1_rad
324
+ - right_arm_joint_2_rad
325
+ - right_arm_joint_3_rad
326
+ - right_arm_joint_4_rad
327
+ - right_arm_joint_5_rad
328
+ - right_arm_joint_6_rad
329
+ - left_hand_joint_1_rad
330
+ - left_hand_joint_2_rad
331
+ - left_hand_joint_3_rad
332
+ - left_hand_joint_4_rad
333
+ - left_hand_joint_5_rad
334
+ - left_hand_joint_6_rad
335
+ - left_hand_joint_7_rad
336
+ - left_hand_joint_8_rad
337
+ - left_hand_joint_9_rad
338
+ - left_hand_joint_10_rad
339
+ - left_hand_joint_11_rad
340
+ - left_hand_joint_12_rad
341
+ - right_hand_joint_1_rad
342
+ - right_hand_joint_2_rad
343
+ - right_hand_joint_3_rad
344
+ - right_hand_joint_4_rad
345
+ - right_hand_joint_5_rad
346
+ - right_hand_joint_6_rad
347
+ - right_hand_joint_7_rad
348
+ - right_hand_joint_8_rad
349
+ - right_hand_joint_9_rad
350
+ - right_hand_joint_10_rad
351
+ - right_hand_joint_11_rad
352
+ - right_hand_joint_12_rad
353
+ timestamp:
354
+ dtype: float32
355
+ shape:
356
+ - 1
357
+ names: null
358
+ frame_index:
359
+ dtype: int64
360
+ shape:
361
+ - 1
362
+ names: null
363
+ episode_index:
364
+ dtype: int64
365
+ shape:
366
+ - 1
367
+ names: null
368
+ index:
369
+ dtype: int64
370
+ shape:
371
+ - 1
372
+ names: null
373
+ task_index:
374
+ dtype: int64
375
+ shape:
376
+ - 1
377
+ names: null
378
+ subtask_annotation:
379
+ names: null
380
+ shape:
381
+ - 5
382
+ dtype: int32
383
+ scene_annotation:
384
+ names: null
385
+ shape:
386
+ - 1
387
+ dtype: int32
388
+ eef_sim_pose_state:
389
+ names:
390
+ - left_eef_pos_x
391
+ - left_eef_pos_y
392
+ - left_eef_pos_z
393
+ - left_eef_rot_x
394
+ - left_eef_rot_y
395
+ - left_eef_rot_z
396
+ - right_eef_pos_x
397
+ - right_eef_pos_y
398
+ - right_eef_pos_z
399
+ - right_eef_rot_x
400
+ - right_eef_rot_y
401
+ - right_eef_rot_z
402
+ shape:
403
+ - 12
404
+ dtype: float32
405
+ eef_sim_pose_action:
406
+ names:
407
+ - left_eef_pos_x
408
+ - left_eef_pos_y
409
+ - left_eef_pos_z
410
+ - left_eef_rot_x
411
+ - left_eef_rot_y
412
+ - left_eef_rot_z
413
+ - right_eef_pos_x
414
+ - right_eef_pos_y
415
+ - right_eef_pos_z
416
+ - right_eef_rot_x
417
+ - right_eef_rot_y
418
+ - right_eef_rot_z
419
+ shape:
420
+ - 12
421
+ dtype: float32
422
+ eef_direction_state:
423
+ names:
424
+ - left_eef_direction
425
+ - right_eef_direction
426
+ shape:
427
+ - 2
428
+ dtype: int32
429
+ eef_direction_action:
430
+ names:
431
+ - left_eef_direction
432
+ - right_eef_direction
433
+ shape:
434
+ - 2
435
+ dtype: int32
436
+ eef_velocity_state:
437
+ names:
438
+ - left_eef_velocity
439
+ - right_eef_velocity
440
+ shape:
441
+ - 2
442
+ dtype: int32
443
+ eef_velocity_action:
444
+ names:
445
+ - left_eef_velocity
446
+ - right_eef_velocity
447
+ shape:
448
+ - 2
449
+ dtype: int32
450
+ eef_acc_mag_state:
451
+ names:
452
+ - left_eef_acc_mag
453
+ - right_eef_acc_mag
454
+ shape:
455
+ - 2
456
+ dtype: int32
457
+ eef_acc_mag_action:
458
+ names:
459
+ - left_eef_acc_mag
460
+ - right_eef_acc_mag
461
+ shape:
462
+ - 2
463
+ dtype: int32
464
  authors:
465
  contributed_by:
466
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
467
+ dataset_description: This dataset uses an extended format based on LeRobot and is
468
+ fully compatible with LeRobot.
 
 
 
 
469
  homepage: https://flagopen.github.io/RoboCOIN/
470
  paper: https://arxiv.org/abs/2511.17441
471
  repository: https://github.com/FlagOpen/RoboCOIN
472
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
473
+ us.
474
+ support_info: For technical support, please open an issue on our GitHub repository.
475
+ license_details: apache-2.0
476
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
477
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
478
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
479
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
480
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
481
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
482
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
483
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
484
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
485
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
486
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
487
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
488
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
489
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
490
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
491
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
492
+ additional_citations: 'If you use this dataset, please also consider citing:
493
+
494
+ LeRobot Framework: https://github.com/huggingface/lerobot
495
+
496
+ '
497
+ version_info: Initial Release
498
+ data_path: data/chunk-{id}/episode_{id}.parquet
499
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
500
+ video_url: videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_info/Airbot_MMK2_storage_cake_cup.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: Airbot_MMK2_storage_cake_cup
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: catering
27
+ level2: cafe
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: cup
35
+ level1: cups
36
+ level2: cup
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: ice_cream
41
+ level1: snacks
42
+ level2: ice_cream
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - put the ice cream into the cup
50
+ sub_tasks:
51
+ - subtask: Place the cake into the blue cup with the right gripper
52
+ subtask_index: 0
53
+ - subtask: Grasp the cake with the left gripper
54
+ subtask_index: 1
55
+ - subtask: Abnormal
56
+ subtask_index: 2
57
+ - subtask: Grasp the cake with the right gripper
58
+ subtask_index: 3
59
+ - subtask: Static
60
+ subtask_index: 4
61
+ - subtask: Place the cake into the blue cup with the left gripper
62
+ subtask_index: 5
63
+ - subtask: End
64
+ subtask_index: 6
65
+ - subtask: 'null'
66
+ subtask_index: 7
67
+ atomic_actions:
68
+ - grasp
69
+ - pick
70
+ - place
71
+ robot_name:
72
+ - Airbot_MMK2
73
+ end_effector_type: five_finger_gripper
74
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
75
+ type information.
76
+ sensor_list:
77
+ - cam_head_rgb
78
+ - cam_left_wrist_rgb
79
+ - cam_right_wrist_rgb
80
+ - cam_front_rgb
81
+ came_info:
82
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
83
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
84
+ pix_fmt=yuv420p
85
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
86
+ pix_fmt=yuv420p
87
+ cam_front_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
88
+ depth_enabled: false
89
+ coordinate_definition: right-hand-frame
90
+ joint_rotation_dim: radian
91
+ end_rotation_dim: end_rotation_dim
92
+ end_translation_dim: end_translation_dim
93
+ annotations:
94
+ - eef_acc_mag_annotation.jsonl
95
+ - eef_direction_annotation.jsonl
96
+ - eef_velocity_annotation.jsonl
97
+ - gripper_activity_annotation.jsonl
98
+ - gripper_mode_annotation.jsonl
99
+ - scene_annotations.jsonl
100
+ - subtask_annotations.jsonl
101
+ statistics:
102
+ total_episodes: 50
103
+ total_frames: 18739
104
+ fps: 30
105
+ total_tasks: 8
106
+ total_videos: 200
107
+ total_chunks: 1
108
+ chunks_size: 1000
109
+ state_dim: 36
110
+ action_dim: 36
111
+ camera_views: 4
112
+ dataset_size: 730.92 MB
113
+ frame_num: 18739
114
+ dataset_size: 730.92 MB
115
+ data_structure: 'Airbot_MMK2_storage_cake_cup_qced_hardlink/
116
+
117
+ |-- annotations
118
+
119
+ | |-- eef_acc_mag_annotation.jsonl
120
+
121
+ | |-- eef_direction_annotation.jsonl
122
+
123
+ | |-- eef_velocity_annotation.jsonl
124
+
125
+ | |-- gripper_activity_annotation.jsonl
126
+
127
+ | |-- gripper_mode_annotation.jsonl
128
+
129
+ | |-- scene_annotations.jsonl
130
+
131
+ | `-- subtask_annotations.jsonl
132
+
133
+ |-- data
134
+
135
+ | `-- chunk-000
136
+
137
+ | |-- episode_000000.parquet
138
+
139
+ | |-- episode_000001.parquet
140
+
141
+ | |-- episode_000002.parquet
142
+
143
+ | |-- episode_000003.parquet
144
+
145
+ | |-- episode_000004.parquet
146
+
147
+ | |-- episode_000005.parquet
148
+
149
+ | |-- episode_000006.parquet
150
+
151
+ | |-- episode_000007.parquet
152
+
153
+ | |-- episode_000008.parquet
154
+
155
+ | |-- episode_000009.parquet
156
+
157
+ | |-- episode_000010.parquet
158
+
159
+ | `-- episode_000011.parquet
160
+
161
+ | `-- ... (38 more entries)
162
+
163
+ |-- meta
164
+
165
+ | |-- episodes.jsonl
166
+
167
+ | |-- episodes_stats.jsonl
168
+
169
+ | |-- info.json
170
+
171
+ | `-- tasks.jsonl
172
+
173
+ |-- videos
174
+
175
+ | `-- chunk-000
176
+
177
+ | |-- observation.images.cam_front_rgb
178
+
179
+ | |-- observation.images.cam_head_rgb
180
+
181
+ | |-- observation.images.cam_left_wrist_rgb
182
+
183
+ | `-- observation.images.cam_right_wrist_rgb
184
+
185
+ |-- info.yaml
186
+
187
+ `-- README.md'
188
+ splits:
189
+ train: 0:49
190
+ features:
191
+ observation.images.cam_head_rgb:
192
+ dtype: video
193
+ shape:
194
+ - 480
195
+ - 640
196
+ - 3
197
+ names:
198
+ - height
199
+ - width
200
+ - channels
201
+ info:
202
+ video.height: 480
203
+ video.width: 640
204
+ video.codec: av1
205
+ video.pix_fmt: yuv420p
206
+ video.is_depth_map: false
207
+ video.fps: 30
208
+ video.channels: 3
209
+ has_audio: false
210
+ observation.images.cam_left_wrist_rgb:
211
+ dtype: video
212
+ shape:
213
+ - 480
214
+ - 640
215
+ - 3
216
+ names:
217
+ - height
218
+ - width
219
+ - channels
220
+ info:
221
+ video.height: 480
222
+ video.width: 640
223
+ video.codec: av1
224
+ video.pix_fmt: yuv420p
225
+ video.is_depth_map: false
226
+ video.fps: 30
227
+ video.channels: 3
228
+ has_audio: false
229
+ observation.images.cam_right_wrist_rgb:
230
+ dtype: video
231
+ shape:
232
+ - 480
233
+ - 640
234
+ - 3
235
+ names:
236
+ - height
237
+ - width
238
+ - channels
239
+ info:
240
+ video.height: 480
241
+ video.width: 640
242
+ video.codec: av1
243
+ video.pix_fmt: yuv420p
244
+ video.is_depth_map: false
245
+ video.fps: 30
246
+ video.channels: 3
247
+ has_audio: false
248
+ observation.images.cam_front_rgb:
249
+ dtype: video
250
+ shape:
251
+ - 480
252
+ - 640
253
+ - 3
254
+ names:
255
+ - height
256
+ - width
257
+ - channels
258
+ info:
259
+ video.height: 480
260
+ video.width: 640
261
+ video.codec: av1
262
+ video.pix_fmt: yuv420p
263
+ video.is_depth_map: false
264
+ video.fps: 30
265
+ video.channels: 3
266
+ has_audio: false
267
+ observation.state:
268
+ dtype: float32
269
+ shape:
270
+ - 36
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
+ - right_arm_joint_1_rad
279
+ - right_arm_joint_2_rad
280
+ - right_arm_joint_3_rad
281
+ - right_arm_joint_4_rad
282
+ - right_arm_joint_5_rad
283
+ - right_arm_joint_6_rad
284
+ - left_hand_joint_1_rad
285
+ - left_hand_joint_2_rad
286
+ - left_hand_joint_3_rad
287
+ - left_hand_joint_4_rad
288
+ - left_hand_joint_5_rad
289
+ - left_hand_joint_6_rad
290
+ - left_hand_joint_7_rad
291
+ - left_hand_joint_8_rad
292
+ - left_hand_joint_9_rad
293
+ - left_hand_joint_10_rad
294
+ - left_hand_joint_11_rad
295
+ - left_hand_joint_12_rad
296
+ - right_hand_joint_1_rad
297
+ - right_hand_joint_2_rad
298
+ - right_hand_joint_3_rad
299
+ - right_hand_joint_4_rad
300
+ - right_hand_joint_5_rad
301
+ - right_hand_joint_6_rad
302
+ - right_hand_joint_7_rad
303
+ - right_hand_joint_8_rad
304
+ - right_hand_joint_9_rad
305
+ - right_hand_joint_10_rad
306
+ - right_hand_joint_11_rad
307
+ - right_hand_joint_12_rad
308
+ action:
309
+ dtype: float32
310
+ shape:
311
+ - 36
312
+ names:
313
+ - left_arm_joint_1_rad
314
+ - left_arm_joint_2_rad
315
+ - left_arm_joint_3_rad
316
+ - left_arm_joint_4_rad
317
+ - left_arm_joint_5_rad
318
+ - left_arm_joint_6_rad
319
+ - right_arm_joint_1_rad
320
+ - right_arm_joint_2_rad
321
+ - right_arm_joint_3_rad
322
+ - right_arm_joint_4_rad
323
+ - right_arm_joint_5_rad
324
+ - right_arm_joint_6_rad
325
+ - left_hand_joint_1_rad
326
+ - left_hand_joint_2_rad
327
+ - left_hand_joint_3_rad
328
+ - left_hand_joint_4_rad
329
+ - left_hand_joint_5_rad
330
+ - left_hand_joint_6_rad
331
+ - left_hand_joint_7_rad
332
+ - left_hand_joint_8_rad
333
+ - left_hand_joint_9_rad
334
+ - left_hand_joint_10_rad
335
+ - left_hand_joint_11_rad
336
+ - left_hand_joint_12_rad
337
+ - right_hand_joint_1_rad
338
+ - right_hand_joint_2_rad
339
+ - right_hand_joint_3_rad
340
+ - right_hand_joint_4_rad
341
+ - right_hand_joint_5_rad
342
+ - right_hand_joint_6_rad
343
+ - right_hand_joint_7_rad
344
+ - right_hand_joint_8_rad
345
+ - right_hand_joint_9_rad
346
+ - right_hand_joint_10_rad
347
+ - right_hand_joint_11_rad
348
+ - right_hand_joint_12_rad
349
+ timestamp:
350
+ dtype: float32
351
+ shape:
352
+ - 1
353
+ names: null
354
+ frame_index:
355
+ dtype: int64
356
+ shape:
357
+ - 1
358
+ names: null
359
+ episode_index:
360
+ dtype: int64
361
+ shape:
362
+ - 1
363
+ names: null
364
+ index:
365
+ dtype: int64
366
+ shape:
367
+ - 1
368
+ names: null
369
+ task_index:
370
+ dtype: int64
371
+ shape:
372
+ - 1
373
+ names: null
374
+ subtask_annotation:
375
+ names: null
376
+ shape:
377
+ - 5
378
+ dtype: int32
379
+ scene_annotation:
380
+ names: null
381
+ shape:
382
+ - 1
383
+ dtype: int32
384
+ eef_sim_pose_state:
385
+ names:
386
+ - left_eef_pos_x
387
+ - left_eef_pos_y
388
+ - left_eef_pos_z
389
+ - left_eef_rot_x
390
+ - left_eef_rot_y
391
+ - left_eef_rot_z
392
+ - right_eef_pos_x
393
+ - right_eef_pos_y
394
+ - right_eef_pos_z
395
+ - right_eef_rot_x
396
+ - right_eef_rot_y
397
+ - right_eef_rot_z
398
+ shape:
399
+ - 12
400
+ dtype: float32
401
+ eef_sim_pose_action:
402
+ names:
403
+ - left_eef_pos_x
404
+ - left_eef_pos_y
405
+ - left_eef_pos_z
406
+ - left_eef_rot_x
407
+ - left_eef_rot_y
408
+ - left_eef_rot_z
409
+ - right_eef_pos_x
410
+ - right_eef_pos_y
411
+ - right_eef_pos_z
412
+ - right_eef_rot_x
413
+ - right_eef_rot_y
414
+ - right_eef_rot_z
415
+ shape:
416
+ - 12
417
+ dtype: float32
418
+ eef_direction_state:
419
+ names:
420
+ - left_eef_direction
421
+ - right_eef_direction
422
+ shape:
423
+ - 2
424
+ dtype: int32
425
+ eef_direction_action:
426
+ names:
427
+ - left_eef_direction
428
+ - right_eef_direction
429
+ shape:
430
+ - 2
431
+ dtype: int32
432
+ eef_velocity_state:
433
+ names:
434
+ - left_eef_velocity
435
+ - right_eef_velocity
436
+ shape:
437
+ - 2
438
+ dtype: int32
439
+ eef_velocity_action:
440
+ names:
441
+ - left_eef_velocity
442
+ - right_eef_velocity
443
+ shape:
444
+ - 2
445
+ dtype: int32
446
+ eef_acc_mag_state:
447
+ names:
448
+ - left_eef_acc_mag
449
+ - right_eef_acc_mag
450
+ shape:
451
+ - 2
452
+ dtype: int32
453
+ eef_acc_mag_action:
454
+ names:
455
+ - left_eef_acc_mag
456
+ - right_eef_acc_mag
457
+ shape:
458
+ - 2
459
+ dtype: int32
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_front_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_arrange_baai_then_brain.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: Galaxea_R1_Lite_arrange_baai_then_brain
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: eduction
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: early_education_toys
35
+ level1: buiding_blocks
36
+ level2: early_education_toys
37
+ level3: null
38
+ level4: null
39
+ level5:operation_platform_height: 77.2
40
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
41
+ the operation type information.
42
+ task_instruction:
43
+ - use the gripper to find blocks with the letters b, a, a, and i on the table and
44
+ arrange them into BAAI, then find r and N and turn the arranged baai into brian.
45
+ sub_tasks:
46
+ - subtask: Abnormal
47
+ subtask_index: 0
48
+ - subtask: Place the second block A in the third location
49
+ subtask_index: 1
50
+ - subtask: Place the block I in the fourth location
51
+ subtask_index: 2
52
+ - subtask: Place the first block A in the second location
53
+ subtask_index: 3
54
+ - subtask: Place the block B in the first location
55
+ subtask_index: 4
56
+ - subtask: End
57
+ subtask_index: 5
58
+ - subtask: Move the block A out of the second location
59
+ subtask_index: 6
60
+ - subtask: Place the block N in the fifth location
61
+ subtask_index: 7
62
+ - subtask: Place the block R in the second location
63
+ subtask_index: 8
64
+ - subtask: 'null'
65
+ subtask_index: 9
66
+ atomic_actions:
67
+ - grasp
68
+ - pick
69
+ - place
70
+ robot_name:
71
+ - Galaxea_R1_Lite
72
+ end_effector_type: two_finger_gripper
73
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
74
+ type information.
75
+ sensor_list:
76
+ - cam_head_left_rgb
77
+ - cam_head_right_rgb
78
+ - cam_left_wrist_rgb
79
+ - cam_right_wrist_rgb
80
+ came_info:
81
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
82
+ pix_fmt=yuv420p
83
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
84
+ pix_fmt=yuv420p
85
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
86
+ pix_fmt=yuv420p
87
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
88
+ pix_fmt=yuv420p
89
+ depth_enabled: false
90
+ coordinate_definition: right-hand-frame
91
+ joint_rotation_dim: radian
92
+ end_rotation_dim: end_rotation_dim
93
+ end_translation_dim: end_translation_dim
94
+ annotations:
95
+ - eef_acc_mag_annotation.jsonl
96
+ - eef_direction_annotation.jsonl
97
+ - eef_velocity_annotation.jsonl
98
+ - gripper_activity_annotation.jsonl
99
+ - gripper_mode_annotation.jsonl
100
+ - scene_annotations.jsonl
101
+ - subtask_annotations.jsonl
102
+ statistics:
103
+ total_episodes: 56
104
+ total_frames: 44471
105
+ fps: 30
106
+ total_tasks: 10
107
+ total_videos: 224
108
+ total_chunks: 1
109
+ chunks_size: 1000
110
+ state_dim: 14
111
+ action_dim: 14
112
+ camera_views: 4
113
+ dataset_size: 1.26 GB
114
+ frame_num: 44471
115
+ dataset_size: 1.26 GB
116
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_arrange_baai_then_brain_qced_hardlink/
117
+
118
+ |-- annotations
119
+
120
+ | |-- eef_acc_mag_annotation.jsonl
121
+
122
+ | |-- eef_direction_annotation.jsonl
123
+
124
+ | |-- eef_velocity_annotation.jsonl
125
+
126
+ | |-- gripper_activity_annotation.jsonl
127
+
128
+ | |-- gripper_mode_annotation.jsonl
129
+
130
+ | |-- scene_annotations.jsonl
131
+
132
+ | `-- subtask_annotations.jsonl
133
+
134
+ |-- data
135
+
136
+ | `-- chunk-000
137
+
138
+ | |-- episode_000000.parquet
139
+
140
+ | |-- episode_000001.parquet
141
+
142
+ | |-- episode_000002.parquet
143
+
144
+ | |-- episode_000003.parquet
145
+
146
+ | |-- episode_000004.parquet
147
+
148
+ | |-- episode_000005.parquet
149
+
150
+ | |-- episode_000006.parquet
151
+
152
+ | |-- episode_000007.parquet
153
+
154
+ | |-- episode_000008.parquet
155
+
156
+ | |-- episode_000009.parquet
157
+
158
+ | |-- episode_000010.parquet
159
+
160
+ | `-- episode_000011.parquet
161
+
162
+ | `-- ... (44 more entries)
163
+
164
+ |-- meta
165
+
166
+ | |-- episodes.jsonl
167
+
168
+ | |-- episodes_stats.jsonl
169
+
170
+ | |-- info.json
171
+
172
+ | `-- tasks.jsonl
173
+
174
+ |-- videos
175
+
176
+ | `-- chunk-000
177
+
178
+ | |-- observation.images.cam_head_left_rgb
179
+
180
+ | |-- observation.images.cam_head_right_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: 0:55
191
+ features:
192
+ observation.images.cam_head_left_rgb:
193
+ dtype: video
194
+ shape:
195
+ - 720
196
+ - 1280
197
+ - 3
198
+ names:
199
+ - height
200
+ - width
201
+ - channels
202
+ info:
203
+ video.height: 720
204
+ video.width: 1280
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_head_right_rgb:
212
+ dtype: video
213
+ shape:
214
+ - 720
215
+ - 1280
216
+ - 3
217
+ names:
218
+ - height
219
+ - width
220
+ - channels
221
+ info:
222
+ video.height: 720
223
+ video.width: 1280
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_left_wrist_rgb:
231
+ dtype: video
232
+ shape:
233
+ - 360
234
+ - 640
235
+ - 3
236
+ names:
237
+ - height
238
+ - width
239
+ - channels
240
+ info:
241
+ video.height: 360
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.images.cam_right_wrist_rgb:
250
+ dtype: video
251
+ shape:
252
+ - 360
253
+ - 640
254
+ - 3
255
+ names:
256
+ - height
257
+ - width
258
+ - channels
259
+ info:
260
+ video.height: 360
261
+ video.width: 640
262
+ video.codec: av1
263
+ video.pix_fmt: yuv420p
264
+ video.is_depth_map: false
265
+ video.fps: 30
266
+ video.channels: 3
267
+ has_audio: false
268
+ observation.state:
269
+ dtype: float32
270
+ shape:
271
+ - 14
272
+ names:
273
+ - left_arm_joint_1_rad
274
+ - left_arm_joint_2_rad
275
+ - left_arm_joint_3_rad
276
+ - left_arm_joint_4_rad
277
+ - left_arm_joint_5_rad
278
+ - left_arm_joint_6_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
+ - left_gripper_open
286
+ - right_gripper_open
287
+ action:
288
+ dtype: float32
289
+ shape:
290
+ - 14
291
+ names:
292
+ - left_arm_joint_1_rad
293
+ - left_arm_joint_2_rad
294
+ - left_arm_joint_3_rad
295
+ - left_arm_joint_4_rad
296
+ - left_arm_joint_5_rad
297
+ - left_arm_joint_6_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
+ - left_gripper_open
305
+ - right_gripper_open
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
+ shape:
334
+ - 5
335
+ dtype: int32
336
+ scene_annotation:
337
+ names: null
338
+ shape:
339
+ - 1
340
+ dtype: int32
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
+ shape:
356
+ - 12
357
+ dtype: float32
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
+ shape:
373
+ - 12
374
+ dtype: float32
375
+ eef_direction_state:
376
+ names:
377
+ - left_eef_direction
378
+ - right_eef_direction
379
+ shape:
380
+ - 2
381
+ dtype: int32
382
+ eef_direction_action:
383
+ names:
384
+ - left_eef_direction
385
+ - right_eef_direction
386
+ shape:
387
+ - 2
388
+ dtype: int32
389
+ eef_velocity_state:
390
+ names:
391
+ - left_eef_velocity
392
+ - right_eef_velocity
393
+ shape:
394
+ - 2
395
+ dtype: int32
396
+ eef_velocity_action:
397
+ names:
398
+ - left_eef_velocity
399
+ - right_eef_velocity
400
+ shape:
401
+ - 2
402
+ dtype: int32
403
+ eef_acc_mag_state:
404
+ names:
405
+ - left_eef_acc_mag
406
+ - right_eef_acc_mag
407
+ shape:
408
+ - 2
409
+ dtype: int32
410
+ eef_acc_mag_action:
411
+ names:
412
+ - left_eef_acc_mag
413
+ - right_eef_acc_mag
414
+ shape:
415
+ - 2
416
+ dtype: int32
417
+ gripper_open_scale_state:
418
+ names:
419
+ - left_gripper_open_scale
420
+ - right_gripper_open_scale
421
+ shape:
422
+ - 2
423
+ dtype: float32
424
+ gripper_open_scale_action:
425
+ names:
426
+ - left_gripper_open_scale
427
+ - right_gripper_open_scale
428
+ shape:
429
+ - 2
430
+ dtype: float32
431
+ gripper_mode_state:
432
+ names:
433
+ - left_gripper_mode
434
+ - right_gripper_mode
435
+ shape:
436
+ - 2
437
+ dtype: int32
438
+ gripper_mode_action:
439
+ names:
440
+ - left_gripper_mode
441
+ - right_gripper_mode
442
+ shape:
443
+ - 2
444
+ dtype: int32
445
+ gripper_activity_state:
446
+ names:
447
+ - left_gripper_activity
448
+ - right_gripper_activity
449
+ shape:
450
+ - 2
451
+ dtype: int32
452
+ gripper_activity_action:
453
+ names:
454
+ - left_gripper_activity
455
+ - right_gripper_activity
456
+ shape:
457
+ - 2
458
+ dtype: int32
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_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_change_baai_into_brain.yaml ADDED
@@ -0,0 +1,484 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_change_baai_into_brain
24
+ dataset_uuid: 75dad2ee-672e-402a-823a-198e5e42af62
25
+ scene_type:
26
+ level1: eduction
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: buiding_blocks
35
+ level1: toys
36
+ level2: buiding_blocks
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
41
+ the operation type information.
42
+ task_instruction:
43
+ - rearrange the word baai as brain.
44
+ sub_tasks:
45
+ - subtask: Disassemble the second character A
46
+ subtask_index: 0
47
+ - subtask: Place the character R between first character B and third character A
48
+ subtask_index: 1
49
+ - subtask: End
50
+ subtask_index: 2
51
+ - subtask: Place the character N after character I
52
+ subtask_index: 3
53
+ - subtask: 'null'
54
+ subtask_index: 4
55
+ atomic_actions:
56
+ - grasp
57
+ - pick
58
+ - place
59
+ robot_name:
60
+ - Galaxea_R1_Lite
61
+ end_effector_type: two_finger_gripper
62
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
63
+ type information.
64
+ sensor_list:
65
+ - cam_head_left_rgb
66
+ - cam_head_right_rgb
67
+ - cam_left_wrist_rgb
68
+ - cam_right_wrist_rgb
69
+ came_info:
70
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
71
+ pix_fmt=yuv420p
72
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
73
+ pix_fmt=yuv420p
74
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
75
+ pix_fmt=yuv420p
76
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
77
+ pix_fmt=yuv420p
78
+ depth_enabled: false
79
+ coordinate_definition: right-hand-frame
80
+ joint_rotation_dim: radian
81
+ end_rotation_dim: end_rotation_dim
82
+ end_translation_dim: end_translation_dim
83
+ annotations:
84
+ - eef_acc_mag_annotation.jsonl
85
+ - eef_direction_annotation.jsonl
86
+ - eef_velocity_annotation.jsonl
87
+ - gripper_activity_annotation.jsonl
88
+ - gripper_mode_annotation.jsonl
89
+ - scene_annotations.jsonl
90
+ - subtask_annotations.jsonl
91
+ statistics:
92
+ total_episodes: 67
93
+ total_frames: 83804
94
+ fps: 30
95
+ total_tasks: 5
96
+ total_videos: 268
97
+ total_chunks: 1
98
+ chunks_size: 1000
99
+ state_dim: 14
100
+ action_dim: 14
101
+ camera_views: 4
102
+ dataset_size: 3.61 GB
103
+ frame_num: 83804
104
+ dataset_size: 3.61 GB
105
+ data_structure: 'Galaxea_R1_Lite_change_baai_into_brain_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
+ | `-- ... (55 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_left_rgb
168
+
169
+ | |-- observation.images.cam_head_right_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: 0:66
180
+ features:
181
+ observation.images.cam_head_left_rgb:
182
+ dtype: video
183
+ shape:
184
+ - 720
185
+ - 1280
186
+ - 3
187
+ names:
188
+ - height
189
+ - width
190
+ - channels
191
+ info:
192
+ video.height: 720
193
+ video.width: 1280
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_head_right_rgb:
201
+ dtype: video
202
+ shape:
203
+ - 720
204
+ - 1280
205
+ - 3
206
+ names:
207
+ - height
208
+ - width
209
+ - channels
210
+ info:
211
+ video.height: 720
212
+ video.width: 1280
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
+ - 720
223
+ - 1280
224
+ - 3
225
+ names:
226
+ - height
227
+ - width
228
+ - channels
229
+ info:
230
+ video.height: 720
231
+ video.width: 1280
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
+ - 720
242
+ - 1280
243
+ - 3
244
+ names:
245
+ - height
246
+ - width
247
+ - channels
248
+ info:
249
+ video.height: 720
250
+ video.width: 1280
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
+ - 14
261
+ names:
262
+ - left_arm_joint_1_rad
263
+ - left_arm_joint_2_rad
264
+ - left_arm_joint_3_rad
265
+ - left_arm_joint_4_rad
266
+ - left_arm_joint_5_rad
267
+ - left_arm_joint_6_rad
268
+ - right_arm_joint_1_rad
269
+ - right_arm_joint_2_rad
270
+ - right_arm_joint_3_rad
271
+ - right_arm_joint_4_rad
272
+ - right_arm_joint_5_rad
273
+ - right_arm_joint_6_rad
274
+ - left_gripper_open
275
+ - right_gripper_open
276
+ action:
277
+ dtype: float32
278
+ shape:
279
+ - 14
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
+ - 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
+ - left_gripper_open
294
+ - right_gripper_open
295
+ timestamp:
296
+ dtype: float32
297
+ shape:
298
+ - 1
299
+ names: null
300
+ frame_index:
301
+ dtype: int64
302
+ shape:
303
+ - 1
304
+ names: null
305
+ episode_index:
306
+ dtype: int64
307
+ shape:
308
+ - 1
309
+ names: null
310
+ index:
311
+ dtype: int64
312
+ shape:
313
+ - 1
314
+ names: null
315
+ task_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ subtask_annotation:
321
+ names: null
322
+ shape:
323
+ - 5
324
+ dtype: int32
325
+ scene_annotation:
326
+ names: null
327
+ shape:
328
+ - 1
329
+ dtype: int32
330
+ eef_sim_pose_state:
331
+ names:
332
+ - left_eef_pos_x
333
+ - left_eef_pos_y
334
+ - left_eef_pos_z
335
+ - left_eef_rot_x
336
+ - left_eef_rot_y
337
+ - left_eef_rot_z
338
+ - right_eef_pos_x
339
+ - right_eef_pos_y
340
+ - right_eef_pos_z
341
+ - right_eef_rot_x
342
+ - right_eef_rot_y
343
+ - right_eef_rot_z
344
+ shape:
345
+ - 12
346
+ dtype: float32
347
+ eef_sim_pose_action:
348
+ names:
349
+ - left_eef_pos_x
350
+ - left_eef_pos_y
351
+ - left_eef_pos_z
352
+ - left_eef_rot_x
353
+ - left_eef_rot_y
354
+ - left_eef_rot_z
355
+ - right_eef_pos_x
356
+ - right_eef_pos_y
357
+ - right_eef_pos_z
358
+ - right_eef_rot_x
359
+ - right_eef_rot_y
360
+ - right_eef_rot_z
361
+ shape:
362
+ - 12
363
+ dtype: float32
364
+ eef_direction_state:
365
+ names:
366
+ - left_eef_direction
367
+ - right_eef_direction
368
+ shape:
369
+ - 2
370
+ dtype: int32
371
+ eef_direction_action:
372
+ names:
373
+ - left_eef_direction
374
+ - right_eef_direction
375
+ shape:
376
+ - 2
377
+ dtype: int32
378
+ eef_velocity_state:
379
+ names:
380
+ - left_eef_velocity
381
+ - right_eef_velocity
382
+ shape:
383
+ - 2
384
+ dtype: int32
385
+ eef_velocity_action:
386
+ names:
387
+ - left_eef_velocity
388
+ - right_eef_velocity
389
+ shape:
390
+ - 2
391
+ dtype: int32
392
+ eef_acc_mag_state:
393
+ names:
394
+ - left_eef_acc_mag
395
+ - right_eef_acc_mag
396
+ shape:
397
+ - 2
398
+ dtype: int32
399
+ eef_acc_mag_action:
400
+ names:
401
+ - left_eef_acc_mag
402
+ - right_eef_acc_mag
403
+ shape:
404
+ - 2
405
+ dtype: int32
406
+ gripper_open_scale_state:
407
+ names:
408
+ - left_gripper_open_scale
409
+ - right_gripper_open_scale
410
+ shape:
411
+ - 2
412
+ dtype: float32
413
+ gripper_open_scale_action:
414
+ names:
415
+ - left_gripper_open_scale
416
+ - right_gripper_open_scale
417
+ shape:
418
+ - 2
419
+ dtype: float32
420
+ gripper_mode_state:
421
+ names:
422
+ - left_gripper_mode
423
+ - right_gripper_mode
424
+ shape:
425
+ - 2
426
+ dtype: int32
427
+ gripper_mode_action:
428
+ names:
429
+ - left_gripper_mode
430
+ - right_gripper_mode
431
+ shape:
432
+ - 2
433
+ dtype: int32
434
+ gripper_activity_state:
435
+ names:
436
+ - left_gripper_activity
437
+ - right_gripper_activity
438
+ shape:
439
+ - 2
440
+ dtype: int32
441
+ gripper_activity_action:
442
+ names:
443
+ - left_gripper_activity
444
+ - right_gripper_activity
445
+ shape:
446
+ - 2
447
+ dtype: int32
448
+ authors:
449
+ contributed_by:
450
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
451
+ dataset_description: This dataset uses an extended format based on LeRobot and is
452
+ fully compatible with LeRobot.
453
+ homepage: https://flagopen.github.io/RoboCOIN/
454
+ paper: https://arxiv.org/abs/2511.17441
455
+ repository: https://github.com/FlagOpen/RoboCOIN
456
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
457
+ us.
458
+ support_info: For technical support, please open an issue on our GitHub repository.
459
+ license_details: apache-2.0
460
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
461
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
462
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
463
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
464
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
465
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
466
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
467
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
468
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
469
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
470
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
471
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
472
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
473
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
474
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
475
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
476
+ additional_citations: 'If you use this dataset, please also consider citing:
477
+
478
+ LeRobot Framework: https://github.com/huggingface/lerobot
479
+
480
+ '
481
+ version_info: Initial Release
482
+ data_path: data/chunk-{id}/episode_{id}.parquet
483
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
484
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_fold_towel_twice.yaml ADDED
@@ -0,0 +1,520 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_fold_towel_twice
24
+ dataset_uuid: eb818363-8a30-492c-8639-78589399913b
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: gray_square_towel
35
+ level1: daily_necessities
36
+ level2: gray_square_towel
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_square_towel
41
+ level1: daily_necessities
42
+ level2: towels
43
+ level3: yellow_square_towel
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - Use the gripper to fold the yellow towel and grey towel in half twice,then put the
50
+ yellow towel on the grey towel.
51
+ sub_tasks:
52
+ - subtask: Press the gray towel with the left gripper
53
+ subtask_index: 0
54
+ - subtask: Fold the yellow towel from left to right with left gripper
55
+ subtask_index: 1
56
+ - subtask: Press the gray towel with the right gripper
57
+ subtask_index: 2
58
+ - subtask: Fold the yellow towel upwards with the right gripper
59
+ subtask_index: 3
60
+ - subtask: Fold the gray towel from left to right with left gripper
61
+ subtask_index: 4
62
+ - subtask: Press the yellow towel with the right gripper
63
+ subtask_index: 5
64
+ - subtask: Fold the gray towel from right to left with right gripper
65
+ subtask_index: 6
66
+ - subtask: End
67
+ subtask_index: 7
68
+ - subtask: Place the yellow towel on the gray towel with the left gripper
69
+ subtask_index: 8
70
+ - subtask: Fold the yellow towel upwards with the left gripper
71
+ subtask_index: 9
72
+ - subtask: Place the grey towel on the yellow towel with the left gripper
73
+ subtask_index: 10
74
+ - subtask: Place the grey towel on the yellow towel with the right gripper
75
+ subtask_index: 11
76
+ - subtask: Fold the gray towel upwards with the right gripper
77
+ subtask_index: 12
78
+ - subtask: Press the yellow towel with the left gripper
79
+ subtask_index: 13
80
+ - subtask: Move the position of the yellow towel with the left gripper
81
+ subtask_index: 14
82
+ - subtask: Place the yellow towel on the gray towel with the right gripper
83
+ subtask_index: 15
84
+ - subtask: Fold the gray towel upwards with the left gripper
85
+ subtask_index: 16
86
+ - subtask: Fold the yellow towel from right to left with right gripper
87
+ subtask_index: 17
88
+ - subtask: 'null'
89
+ subtask_index: 18
90
+ atomic_actions:
91
+ - grasp
92
+ - pick
93
+ - place
94
+ - fold
95
+ robot_name:
96
+ - Galaxea_R1_Lite
97
+ end_effector_type: two_finger_gripper
98
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
99
+ type information.
100
+ sensor_list:
101
+ - cam_head_left_rgb
102
+ - cam_head_right_rgb
103
+ - cam_left_wrist_rgb
104
+ - cam_right_wrist_rgb
105
+ came_info:
106
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
107
+ pix_fmt=yuv420p
108
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
109
+ pix_fmt=yuv420p
110
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
111
+ pix_fmt=yuv420p
112
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
113
+ pix_fmt=yuv420p
114
+ depth_enabled: false
115
+ coordinate_definition: right-hand-frame
116
+ joint_rotation_dim: radian
117
+ end_rotation_dim: end_rotation_dim
118
+ end_translation_dim: end_translation_dim
119
+ annotations:
120
+ - eef_acc_mag_annotation.jsonl
121
+ - eef_direction_annotation.jsonl
122
+ - eef_velocity_annotation.jsonl
123
+ - gripper_activity_annotation.jsonl
124
+ - gripper_mode_annotation.jsonl
125
+ - scene_annotations.jsonl
126
+ - subtask_annotations.jsonl
127
+ statistics:
128
+ total_episodes: 46
129
+ total_frames: 50022
130
+ fps: 30
131
+ total_tasks: 19
132
+ total_videos: 184
133
+ total_chunks: 1
134
+ chunks_size: 1000
135
+ state_dim: 14
136
+ action_dim: 14
137
+ camera_views: 4
138
+ dataset_size: 2.14 GB
139
+ frame_num: 50022
140
+ dataset_size: 2.14 GB
141
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_fold_towel_twice_qced_hardlink/
142
+
143
+ |-- annotations
144
+
145
+ | |-- eef_acc_mag_annotation.jsonl
146
+
147
+ | |-- eef_direction_annotation.jsonl
148
+
149
+ | |-- eef_velocity_annotation.jsonl
150
+
151
+ | |-- gripper_activity_annotation.jsonl
152
+
153
+ | |-- gripper_mode_annotation.jsonl
154
+
155
+ | |-- scene_annotations.jsonl
156
+
157
+ | `-- subtask_annotations.jsonl
158
+
159
+ |-- data
160
+
161
+ | `-- chunk-000
162
+
163
+ | |-- episode_000000.parquet
164
+
165
+ | |-- episode_000001.parquet
166
+
167
+ | |-- episode_000002.parquet
168
+
169
+ | |-- episode_000003.parquet
170
+
171
+ | |-- episode_000004.parquet
172
+
173
+ | |-- episode_000005.parquet
174
+
175
+ | |-- episode_000006.parquet
176
+
177
+ | |-- episode_000007.parquet
178
+
179
+ | |-- episode_000008.parquet
180
+
181
+ | |-- episode_000009.parquet
182
+
183
+ | |-- episode_000010.parquet
184
+
185
+ | `-- episode_000011.parquet
186
+
187
+ | `-- ... (34 more entries)
188
+
189
+ |-- meta
190
+
191
+ | |-- episodes.jsonl
192
+
193
+ | |-- episodes_stats.jsonl
194
+
195
+ | |-- info.json
196
+
197
+ | `-- tasks.jsonl
198
+
199
+ |-- videos
200
+
201
+ | `-- chunk-000
202
+
203
+ | |-- observation.images.cam_head_left_rgb
204
+
205
+ | |-- observation.images.cam_head_right_rgb
206
+
207
+ | |-- observation.images.cam_left_wrist_rgb
208
+
209
+ | `-- observation.images.cam_right_wrist_rgb
210
+
211
+ |-- info.yaml
212
+
213
+ `-- README.md'
214
+ splits:
215
+ train: 0:45
216
+ features:
217
+ observation.images.cam_head_left_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 720
221
+ - 1280
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 720
229
+ video.width: 1280
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_head_right_rgb:
237
+ dtype: video
238
+ shape:
239
+ - 720
240
+ - 1280
241
+ - 3
242
+ names:
243
+ - height
244
+ - width
245
+ - channels
246
+ info:
247
+ video.height: 720
248
+ video.width: 1280
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_left_wrist_rgb:
256
+ dtype: video
257
+ shape:
258
+ - 360
259
+ - 640
260
+ - 3
261
+ names:
262
+ - height
263
+ - width
264
+ - channels
265
+ info:
266
+ video.height: 360
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.images.cam_right_wrist_rgb:
275
+ dtype: video
276
+ shape:
277
+ - 360
278
+ - 640
279
+ - 3
280
+ names:
281
+ - height
282
+ - width
283
+ - channels
284
+ info:
285
+ video.height: 360
286
+ video.width: 640
287
+ video.codec: av1
288
+ video.pix_fmt: yuv420p
289
+ video.is_depth_map: false
290
+ video.fps: 30
291
+ video.channels: 3
292
+ has_audio: false
293
+ observation.state:
294
+ dtype: float32
295
+ shape:
296
+ - 14
297
+ names:
298
+ - left_arm_joint_1_rad
299
+ - left_arm_joint_2_rad
300
+ - left_arm_joint_3_rad
301
+ - left_arm_joint_4_rad
302
+ - left_arm_joint_5_rad
303
+ - left_arm_joint_6_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
+ - left_gripper_open
311
+ - right_gripper_open
312
+ action:
313
+ dtype: float32
314
+ shape:
315
+ - 14
316
+ names:
317
+ - left_arm_joint_1_rad
318
+ - left_arm_joint_2_rad
319
+ - left_arm_joint_3_rad
320
+ - left_arm_joint_4_rad
321
+ - left_arm_joint_5_rad
322
+ - left_arm_joint_6_rad
323
+ - right_arm_joint_1_rad
324
+ - right_arm_joint_2_rad
325
+ - right_arm_joint_3_rad
326
+ - right_arm_joint_4_rad
327
+ - right_arm_joint_5_rad
328
+ - right_arm_joint_6_rad
329
+ - left_gripper_open
330
+ - right_gripper_open
331
+ timestamp:
332
+ dtype: float32
333
+ shape:
334
+ - 1
335
+ names: null
336
+ frame_index:
337
+ dtype: int64
338
+ shape:
339
+ - 1
340
+ names: null
341
+ episode_index:
342
+ dtype: int64
343
+ shape:
344
+ - 1
345
+ names: null
346
+ index:
347
+ dtype: int64
348
+ shape:
349
+ - 1
350
+ names: null
351
+ task_index:
352
+ dtype: int64
353
+ shape:
354
+ - 1
355
+ names: null
356
+ subtask_annotation:
357
+ names: null
358
+ shape:
359
+ - 5
360
+ dtype: int32
361
+ scene_annotation:
362
+ names: null
363
+ shape:
364
+ - 1
365
+ dtype: int32
366
+ eef_sim_pose_state:
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
+ shape:
381
+ - 12
382
+ dtype: float32
383
+ eef_sim_pose_action:
384
+ names:
385
+ - left_eef_pos_x
386
+ - left_eef_pos_y
387
+ - left_eef_pos_z
388
+ - left_eef_rot_x
389
+ - left_eef_rot_y
390
+ - left_eef_rot_z
391
+ - right_eef_pos_x
392
+ - right_eef_pos_y
393
+ - right_eef_pos_z
394
+ - right_eef_rot_x
395
+ - right_eef_rot_y
396
+ - right_eef_rot_z
397
+ shape:
398
+ - 12
399
+ dtype: float32
400
+ eef_direction_state:
401
+ names:
402
+ - left_eef_direction
403
+ - right_eef_direction
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ eef_direction_action:
408
+ names:
409
+ - left_eef_direction
410
+ - right_eef_direction
411
+ shape:
412
+ - 2
413
+ dtype: int32
414
+ eef_velocity_state:
415
+ names:
416
+ - left_eef_velocity
417
+ - right_eef_velocity
418
+ shape:
419
+ - 2
420
+ dtype: int32
421
+ eef_velocity_action:
422
+ names:
423
+ - left_eef_velocity
424
+ - right_eef_velocity
425
+ shape:
426
+ - 2
427
+ dtype: int32
428
+ eef_acc_mag_state:
429
+ names:
430
+ - left_eef_acc_mag
431
+ - right_eef_acc_mag
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ eef_acc_mag_action:
436
+ names:
437
+ - left_eef_acc_mag
438
+ - right_eef_acc_mag
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ gripper_open_scale_state:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ shape:
447
+ - 2
448
+ dtype: float32
449
+ gripper_open_scale_action:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ shape:
454
+ - 2
455
+ dtype: float32
456
+ gripper_mode_state:
457
+ names:
458
+ - left_gripper_mode
459
+ - right_gripper_mode
460
+ shape:
461
+ - 2
462
+ dtype: int32
463
+ gripper_mode_action:
464
+ names:
465
+ - left_gripper_mode
466
+ - right_gripper_mode
467
+ shape:
468
+ - 2
469
+ dtype: int32
470
+ gripper_activity_state:
471
+ names:
472
+ - left_gripper_activity
473
+ - right_gripper_activity
474
+ shape:
475
+ - 2
476
+ dtype: int32
477
+ gripper_activity_action:
478
+ names:
479
+ - left_gripper_activity
480
+ - right_gripper_activity
481
+ shape:
482
+ - 2
483
+ dtype: int32
484
+ authors:
485
+ contributed_by:
486
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
487
+ dataset_description: This dataset uses an extended format based on LeRobot and is
488
+ fully compatible with LeRobot.
489
+ homepage: https://flagopen.github.io/RoboCOIN/
490
+ paper: https://arxiv.org/abs/2511.17441
491
+ repository: https://github.com/FlagOpen/RoboCOIN
492
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
493
+ us.
494
+ support_info: For technical support, please open an issue on our GitHub repository.
495
+ license_details: apache-2.0
496
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
497
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
498
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
499
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
500
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
501
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
502
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
503
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
504
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
505
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
506
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
507
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
508
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
509
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
510
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
511
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
512
+ additional_citations: 'If you use this dataset, please also consider citing:
513
+
514
+ LeRobot Framework: https://github.com/huggingface/lerobot
515
+
516
+ '
517
+ version_info: Initial Release
518
+ data_path: data/chunk-{id}/episode_{id}.parquet
519
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
520
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_blue_yellow_left_large_test_tube.yaml ADDED
@@ -0,0 +1,520 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_blue_yellow_left_large_test_tube
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_pigment
41
+ level1: materials
42
+ level2: yellow_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: red_pigment
47
+ level1: materials
48
+ level2: red_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: test_tubes
59
+ level1: laboratory_supplies
60
+ level2: test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - pick up the test tube with yellow pigment and the test tube with blue pigment by
74
+ grippers and pour them into the beaker.
75
+ sub_tasks:
76
+ - subtask: Pour the blue reagent into the graduated cylinder with the left gripper
77
+ subtask_index: 0
78
+ - subtask: Pour the yellow reagent into the graduated cylinder with the left gripper
79
+ subtask_index: 1
80
+ - subtask: Grasp the yellow reagent with the left gripper
81
+ subtask_index: 2
82
+ - subtask: Grasp the blue reagent with the left gripper
83
+ subtask_index: 3
84
+ - subtask: End
85
+ subtask_index: 4
86
+ - subtask: Place the test tube into the bowl with the left gripper
87
+ subtask_index: 5
88
+ - subtask: 'null'
89
+ subtask_index: 6
90
+ atomic_actions:
91
+ - grasp
92
+ - pick
93
+ - place
94
+ - pour
95
+ robot_name:
96
+ - Galaxea_R1_Lite
97
+ end_effector_type: two_finger_gripper
98
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
99
+ type information.
100
+ sensor_list:
101
+ - cam_head_left_rgb
102
+ - cam_head_right_rgb
103
+ - cam_left_wrist_rgb
104
+ - cam_right_wrist_rgb
105
+ came_info:
106
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
107
+ pix_fmt=yuv420p
108
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
109
+ pix_fmt=yuv420p
110
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
111
+ pix_fmt=yuv420p
112
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
113
+ pix_fmt=yuv420p
114
+ depth_enabled: false
115
+ coordinate_definition: right-hand-frame
116
+ joint_rotation_dim: radian
117
+ end_rotation_dim: end_rotation_dim
118
+ end_translation_dim: end_translation_dim
119
+ annotations:
120
+ - eef_acc_mag_annotation.jsonl
121
+ - eef_direction_annotation.jsonl
122
+ - eef_velocity_annotation.jsonl
123
+ - gripper_activity_annotation.jsonl
124
+ - gripper_mode_annotation.jsonl
125
+ - scene_annotations.jsonl
126
+ - subtask_annotations.jsonl
127
+ statistics:
128
+ total_episodes: 50
129
+ total_frames: 45568
130
+ fps: 30
131
+ total_tasks: 7
132
+ total_videos: 200
133
+ total_chunks: 1
134
+ chunks_size: 1000
135
+ state_dim: 14
136
+ action_dim: 14
137
+ camera_views: 4
138
+ dataset_size: 1.54 GB
139
+ frame_num: 45568
140
+ dataset_size: 1.54 GB
141
+ data_structure: 'Galaxea_R1_Lite_mix_blue_yellow_left_large_test_tube_qced_hardlink/
142
+
143
+ |-- annotations
144
+
145
+ | |-- eef_acc_mag_annotation.jsonl
146
+
147
+ | |-- eef_direction_annotation.jsonl
148
+
149
+ | |-- eef_velocity_annotation.jsonl
150
+
151
+ | |-- gripper_activity_annotation.jsonl
152
+
153
+ | |-- gripper_mode_annotation.jsonl
154
+
155
+ | |-- scene_annotations.jsonl
156
+
157
+ | `-- subtask_annotations.jsonl
158
+
159
+ |-- data
160
+
161
+ | `-- chunk-000
162
+
163
+ | |-- episode_000000.parquet
164
+
165
+ | |-- episode_000001.parquet
166
+
167
+ | |-- episode_000002.parquet
168
+
169
+ | |-- episode_000003.parquet
170
+
171
+ | |-- episode_000004.parquet
172
+
173
+ | |-- episode_000005.parquet
174
+
175
+ | |-- episode_000006.parquet
176
+
177
+ | |-- episode_000007.parquet
178
+
179
+ | |-- episode_000008.parquet
180
+
181
+ | |-- episode_000009.parquet
182
+
183
+ | |-- episode_000010.parquet
184
+
185
+ | `-- episode_000011.parquet
186
+
187
+ | `-- ... (38 more entries)
188
+
189
+ |-- meta
190
+
191
+ | |-- episodes.jsonl
192
+
193
+ | |-- episodes_stats.jsonl
194
+
195
+ | |-- info.json
196
+
197
+ | `-- tasks.jsonl
198
+
199
+ |-- videos
200
+
201
+ | `-- chunk-000
202
+
203
+ | |-- observation.images.cam_head_left_rgb
204
+
205
+ | |-- observation.images.cam_head_right_rgb
206
+
207
+ | |-- observation.images.cam_left_wrist_rgb
208
+
209
+ | `-- observation.images.cam_right_wrist_rgb
210
+
211
+ |-- info.yaml
212
+
213
+ `-- README.md'
214
+ splits:
215
+ train: 0:49
216
+ features:
217
+ observation.images.cam_head_left_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 720
221
+ - 1280
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 720
229
+ video.width: 1280
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_head_right_rgb:
237
+ dtype: video
238
+ shape:
239
+ - 720
240
+ - 1280
241
+ - 3
242
+ names:
243
+ - height
244
+ - width
245
+ - channels
246
+ info:
247
+ video.height: 720
248
+ video.width: 1280
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_left_wrist_rgb:
256
+ dtype: video
257
+ shape:
258
+ - 720
259
+ - 1280
260
+ - 3
261
+ names:
262
+ - height
263
+ - width
264
+ - channels
265
+ info:
266
+ video.height: 720
267
+ video.width: 1280
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.images.cam_right_wrist_rgb:
275
+ dtype: video
276
+ shape:
277
+ - 720
278
+ - 1280
279
+ - 3
280
+ names:
281
+ - height
282
+ - width
283
+ - channels
284
+ info:
285
+ video.height: 720
286
+ video.width: 1280
287
+ video.codec: av1
288
+ video.pix_fmt: yuv420p
289
+ video.is_depth_map: false
290
+ video.fps: 30
291
+ video.channels: 3
292
+ has_audio: false
293
+ observation.state:
294
+ dtype: float32
295
+ shape:
296
+ - 14
297
+ names:
298
+ - left_arm_joint_1_rad
299
+ - left_arm_joint_2_rad
300
+ - left_arm_joint_3_rad
301
+ - left_arm_joint_4_rad
302
+ - left_arm_joint_5_rad
303
+ - left_arm_joint_6_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
+ - left_gripper_open
311
+ - right_gripper_open
312
+ action:
313
+ dtype: float32
314
+ shape:
315
+ - 14
316
+ names:
317
+ - left_arm_joint_1_rad
318
+ - left_arm_joint_2_rad
319
+ - left_arm_joint_3_rad
320
+ - left_arm_joint_4_rad
321
+ - left_arm_joint_5_rad
322
+ - left_arm_joint_6_rad
323
+ - right_arm_joint_1_rad
324
+ - right_arm_joint_2_rad
325
+ - right_arm_joint_3_rad
326
+ - right_arm_joint_4_rad
327
+ - right_arm_joint_5_rad
328
+ - right_arm_joint_6_rad
329
+ - left_gripper_open
330
+ - right_gripper_open
331
+ timestamp:
332
+ dtype: float32
333
+ shape:
334
+ - 1
335
+ names: null
336
+ frame_index:
337
+ dtype: int64
338
+ shape:
339
+ - 1
340
+ names: null
341
+ episode_index:
342
+ dtype: int64
343
+ shape:
344
+ - 1
345
+ names: null
346
+ index:
347
+ dtype: int64
348
+ shape:
349
+ - 1
350
+ names: null
351
+ task_index:
352
+ dtype: int64
353
+ shape:
354
+ - 1
355
+ names: null
356
+ subtask_annotation:
357
+ names: null
358
+ shape:
359
+ - 5
360
+ dtype: int32
361
+ scene_annotation:
362
+ names: null
363
+ shape:
364
+ - 1
365
+ dtype: int32
366
+ eef_sim_pose_state:
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
+ shape:
381
+ - 12
382
+ dtype: float32
383
+ eef_sim_pose_action:
384
+ names:
385
+ - left_eef_pos_x
386
+ - left_eef_pos_y
387
+ - left_eef_pos_z
388
+ - left_eef_rot_x
389
+ - left_eef_rot_y
390
+ - left_eef_rot_z
391
+ - right_eef_pos_x
392
+ - right_eef_pos_y
393
+ - right_eef_pos_z
394
+ - right_eef_rot_x
395
+ - right_eef_rot_y
396
+ - right_eef_rot_z
397
+ shape:
398
+ - 12
399
+ dtype: float32
400
+ eef_direction_state:
401
+ names:
402
+ - left_eef_direction
403
+ - right_eef_direction
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ eef_direction_action:
408
+ names:
409
+ - left_eef_direction
410
+ - right_eef_direction
411
+ shape:
412
+ - 2
413
+ dtype: int32
414
+ eef_velocity_state:
415
+ names:
416
+ - left_eef_velocity
417
+ - right_eef_velocity
418
+ shape:
419
+ - 2
420
+ dtype: int32
421
+ eef_velocity_action:
422
+ names:
423
+ - left_eef_velocity
424
+ - right_eef_velocity
425
+ shape:
426
+ - 2
427
+ dtype: int32
428
+ eef_acc_mag_state:
429
+ names:
430
+ - left_eef_acc_mag
431
+ - right_eef_acc_mag
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ eef_acc_mag_action:
436
+ names:
437
+ - left_eef_acc_mag
438
+ - right_eef_acc_mag
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ gripper_open_scale_state:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ shape:
447
+ - 2
448
+ dtype: float32
449
+ gripper_open_scale_action:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ shape:
454
+ - 2
455
+ dtype: float32
456
+ gripper_mode_state:
457
+ names:
458
+ - left_gripper_mode
459
+ - right_gripper_mode
460
+ shape:
461
+ - 2
462
+ dtype: int32
463
+ gripper_mode_action:
464
+ names:
465
+ - left_gripper_mode
466
+ - right_gripper_mode
467
+ shape:
468
+ - 2
469
+ dtype: int32
470
+ gripper_activity_state:
471
+ names:
472
+ - left_gripper_activity
473
+ - right_gripper_activity
474
+ shape:
475
+ - 2
476
+ dtype: int32
477
+ gripper_activity_action:
478
+ names:
479
+ - left_gripper_activity
480
+ - right_gripper_activity
481
+ shape:
482
+ - 2
483
+ dtype: int32
484
+ authors:
485
+ contributed_by:
486
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
487
+ dataset_description: This dataset uses an extended format based on LeRobot and is
488
+ fully compatible with LeRobot.
489
+ homepage: https://flagopen.github.io/RoboCOIN/
490
+ paper: https://arxiv.org/abs/2511.17441
491
+ repository: https://github.com/FlagOpen/RoboCOIN
492
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
493
+ us.
494
+ support_info: For technical support, please open an issue on our GitHub repository.
495
+ license_details: apache-2.0
496
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
497
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
498
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
499
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
500
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
501
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
502
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
503
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
504
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
505
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
506
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
507
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
508
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
509
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
510
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
511
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
512
+ additional_citations: 'If you use this dataset, please also consider citing:
513
+
514
+ LeRobot Framework: https://github.com/huggingface/lerobot
515
+
516
+ '
517
+ version_info: Initial Release
518
+ data_path: data/chunk-{id}/episode_{id}.parquet
519
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
520
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_blue_yellow_right.yaml ADDED
@@ -0,0 +1,540 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_blue_yellow_right
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: red_pigment
41
+ level1: materials
42
+ level2: red_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: yellow_pigment
47
+ level1: materials
48
+ level2: yellow_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: test_tubes
59
+ level1: laboratory_supplies
60
+ level2: test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - pick up the test tube with yellow pigment and the test tube with blue pigment by
74
+ grippers and pour them into the beaker.
75
+ sub_tasks:
76
+ - subtask: Abnormal
77
+ subtask_index: 0
78
+ - subtask: Place the test tube into the bowl with right gripper
79
+ subtask_index: 1
80
+ - subtask: Grasp the red reagent with the left gripper
81
+ subtask_index: 2
82
+ - subtask: Pour the blue reagent into the graduated cylinder with right gripper
83
+ subtask_index: 3
84
+ - subtask: Pick up the test tube containing the yellow reagent with right gripper
85
+ subtask_index: 4
86
+ - subtask: Grasp the yellow reagent with the right gripper
87
+ subtask_index: 5
88
+ - subtask: Grasp the red reagent with the right gripper
89
+ subtask_index: 6
90
+ - subtask: Place the test tube into the bowl with the right gripper
91
+ subtask_index: 7
92
+ - subtask: Pour the yellow reagent into the graduated cylinder with the right gripper
93
+ subtask_index: 8
94
+ - subtask: End
95
+ subtask_index: 9
96
+ - subtask: Pour the blue reagent into the graduated cylinder with the right gripper
97
+ subtask_index: 10
98
+ - subtask: Pour the yellow reagent into the graduated cylinder with right gripper
99
+ subtask_index: 11
100
+ - subtask: Pick up the test tube containing the blue reagent with right gripper
101
+ subtask_index: 12
102
+ - subtask: Pour the red reagent into the graduated cylinder with the right gripper
103
+ subtask_index: 13
104
+ - subtask: end
105
+ subtask_index: 14
106
+ - subtask: Grasp the blue reagent with the right gripper
107
+ subtask_index: 15
108
+ - subtask: 'null'
109
+ subtask_index: 16
110
+ atomic_actions:
111
+ - grasp
112
+ - pick
113
+ - place
114
+ - pour
115
+ robot_name:
116
+ - Galaxea_R1_Lite
117
+ end_effector_type: two_finger_gripper
118
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
119
+ type information.
120
+ sensor_list:
121
+ - cam_head_left_rgb
122
+ - cam_head_right_rgb
123
+ - cam_left_wrist_rgb
124
+ - cam_right_wrist_rgb
125
+ came_info:
126
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
127
+ pix_fmt=yuv420p
128
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
129
+ pix_fmt=yuv420p
130
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
131
+ pix_fmt=yuv420p
132
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
133
+ pix_fmt=yuv420p
134
+ depth_enabled: false
135
+ coordinate_definition: right-hand-frame
136
+ joint_rotation_dim: radian
137
+ end_rotation_dim: end_rotation_dim
138
+ end_translation_dim: end_translation_dim
139
+ annotations:
140
+ - eef_acc_mag_annotation.jsonl
141
+ - eef_direction_annotation.jsonl
142
+ - eef_velocity_annotation.jsonl
143
+ - gripper_activity_annotation.jsonl
144
+ - gripper_mode_annotation.jsonl
145
+ - scene_annotations.jsonl
146
+ - subtask_annotations.jsonl
147
+ statistics:
148
+ total_episodes: 50
149
+ total_frames: 32657
150
+ fps: 30
151
+ total_tasks: 17
152
+ total_videos: 200
153
+ total_chunks: 1
154
+ chunks_size: 1000
155
+ state_dim: 14
156
+ action_dim: 14
157
+ camera_views: 4
158
+ dataset_size: 665.69 MB
159
+ frame_num: 32657
160
+ dataset_size: 665.69 MB
161
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_mix_blue_yellow_right_qced_hardlink/
162
+
163
+ |-- annotations
164
+
165
+ | |-- eef_acc_mag_annotation.jsonl
166
+
167
+ | |-- eef_direction_annotation.jsonl
168
+
169
+ | |-- eef_velocity_annotation.jsonl
170
+
171
+ | |-- gripper_activity_annotation.jsonl
172
+
173
+ | |-- gripper_mode_annotation.jsonl
174
+
175
+ | |-- scene_annotations.jsonl
176
+
177
+ | `-- subtask_annotations.jsonl
178
+
179
+ |-- data
180
+
181
+ | `-- chunk-000
182
+
183
+ | |-- episode_000000.parquet
184
+
185
+ | |-- episode_000001.parquet
186
+
187
+ | |-- episode_000002.parquet
188
+
189
+ | |-- episode_000003.parquet
190
+
191
+ | |-- episode_000004.parquet
192
+
193
+ | |-- episode_000005.parquet
194
+
195
+ | |-- episode_000006.parquet
196
+
197
+ | |-- episode_000007.parquet
198
+
199
+ | |-- episode_000008.parquet
200
+
201
+ | |-- episode_000009.parquet
202
+
203
+ | |-- episode_000010.parquet
204
+
205
+ | `-- episode_000011.parquet
206
+
207
+ | `-- ... (38 more entries)
208
+
209
+ |-- meta
210
+
211
+ | |-- episodes.jsonl
212
+
213
+ | |-- episodes_stats.jsonl
214
+
215
+ | |-- info.json
216
+
217
+ | `-- tasks.jsonl
218
+
219
+ |-- videos
220
+
221
+ | `-- chunk-000
222
+
223
+ | |-- observation.images.cam_head_left_rgb
224
+
225
+ | |-- observation.images.cam_head_right_rgb
226
+
227
+ | |-- observation.images.cam_left_wrist_rgb
228
+
229
+ | `-- observation.images.cam_right_wrist_rgb
230
+
231
+ |-- info.yaml
232
+
233
+ `-- README.md'
234
+ splits:
235
+ train: 0:49
236
+ features:
237
+ observation.images.cam_head_left_rgb:
238
+ dtype: video
239
+ shape:
240
+ - 720
241
+ - 1280
242
+ - 3
243
+ names:
244
+ - height
245
+ - width
246
+ - channels
247
+ info:
248
+ video.height: 720
249
+ video.width: 1280
250
+ video.codec: av1
251
+ video.pix_fmt: yuv420p
252
+ video.is_depth_map: false
253
+ video.fps: 30
254
+ video.channels: 3
255
+ has_audio: false
256
+ observation.images.cam_head_right_rgb:
257
+ dtype: video
258
+ shape:
259
+ - 720
260
+ - 1280
261
+ - 3
262
+ names:
263
+ - height
264
+ - width
265
+ - channels
266
+ info:
267
+ video.height: 720
268
+ video.width: 1280
269
+ video.codec: av1
270
+ video.pix_fmt: yuv420p
271
+ video.is_depth_map: false
272
+ video.fps: 30
273
+ video.channels: 3
274
+ has_audio: false
275
+ observation.images.cam_left_wrist_rgb:
276
+ dtype: video
277
+ shape:
278
+ - 360
279
+ - 640
280
+ - 3
281
+ names:
282
+ - height
283
+ - width
284
+ - channels
285
+ info:
286
+ video.height: 360
287
+ video.width: 640
288
+ video.codec: av1
289
+ video.pix_fmt: yuv420p
290
+ video.is_depth_map: false
291
+ video.fps: 30
292
+ video.channels: 3
293
+ has_audio: false
294
+ observation.images.cam_right_wrist_rgb:
295
+ dtype: video
296
+ shape:
297
+ - 360
298
+ - 640
299
+ - 3
300
+ names:
301
+ - height
302
+ - width
303
+ - channels
304
+ info:
305
+ video.height: 360
306
+ video.width: 640
307
+ video.codec: av1
308
+ video.pix_fmt: yuv420p
309
+ video.is_depth_map: false
310
+ video.fps: 30
311
+ video.channels: 3
312
+ has_audio: false
313
+ observation.state:
314
+ dtype: float32
315
+ shape:
316
+ - 14
317
+ names:
318
+ - left_arm_joint_1_rad
319
+ - left_arm_joint_2_rad
320
+ - left_arm_joint_3_rad
321
+ - left_arm_joint_4_rad
322
+ - left_arm_joint_5_rad
323
+ - left_arm_joint_6_rad
324
+ - right_arm_joint_1_rad
325
+ - right_arm_joint_2_rad
326
+ - right_arm_joint_3_rad
327
+ - right_arm_joint_4_rad
328
+ - right_arm_joint_5_rad
329
+ - right_arm_joint_6_rad
330
+ - left_gripper_open
331
+ - right_gripper_open
332
+ action:
333
+ dtype: float32
334
+ shape:
335
+ - 14
336
+ names:
337
+ - left_arm_joint_1_rad
338
+ - left_arm_joint_2_rad
339
+ - left_arm_joint_3_rad
340
+ - left_arm_joint_4_rad
341
+ - left_arm_joint_5_rad
342
+ - left_arm_joint_6_rad
343
+ - right_arm_joint_1_rad
344
+ - right_arm_joint_2_rad
345
+ - right_arm_joint_3_rad
346
+ - right_arm_joint_4_rad
347
+ - right_arm_joint_5_rad
348
+ - right_arm_joint_6_rad
349
+ - left_gripper_open
350
+ - right_gripper_open
351
+ timestamp:
352
+ dtype: float32
353
+ shape:
354
+ - 1
355
+ names: null
356
+ frame_index:
357
+ dtype: int64
358
+ shape:
359
+ - 1
360
+ names: null
361
+ episode_index:
362
+ dtype: int64
363
+ shape:
364
+ - 1
365
+ names: null
366
+ index:
367
+ dtype: int64
368
+ shape:
369
+ - 1
370
+ names: null
371
+ task_index:
372
+ dtype: int64
373
+ shape:
374
+ - 1
375
+ names: null
376
+ subtask_annotation:
377
+ names: null
378
+ shape:
379
+ - 5
380
+ dtype: int32
381
+ scene_annotation:
382
+ names: null
383
+ shape:
384
+ - 1
385
+ dtype: int32
386
+ eef_sim_pose_state:
387
+ names:
388
+ - left_eef_pos_x
389
+ - left_eef_pos_y
390
+ - left_eef_pos_z
391
+ - left_eef_rot_x
392
+ - left_eef_rot_y
393
+ - left_eef_rot_z
394
+ - right_eef_pos_x
395
+ - right_eef_pos_y
396
+ - right_eef_pos_z
397
+ - right_eef_rot_x
398
+ - right_eef_rot_y
399
+ - right_eef_rot_z
400
+ shape:
401
+ - 12
402
+ dtype: float32
403
+ eef_sim_pose_action:
404
+ names:
405
+ - left_eef_pos_x
406
+ - left_eef_pos_y
407
+ - left_eef_pos_z
408
+ - left_eef_rot_x
409
+ - left_eef_rot_y
410
+ - left_eef_rot_z
411
+ - right_eef_pos_x
412
+ - right_eef_pos_y
413
+ - right_eef_pos_z
414
+ - right_eef_rot_x
415
+ - right_eef_rot_y
416
+ - right_eef_rot_z
417
+ shape:
418
+ - 12
419
+ dtype: float32
420
+ eef_direction_state:
421
+ names:
422
+ - left_eef_direction
423
+ - right_eef_direction
424
+ shape:
425
+ - 2
426
+ dtype: int32
427
+ eef_direction_action:
428
+ names:
429
+ - left_eef_direction
430
+ - right_eef_direction
431
+ shape:
432
+ - 2
433
+ dtype: int32
434
+ eef_velocity_state:
435
+ names:
436
+ - left_eef_velocity
437
+ - right_eef_velocity
438
+ shape:
439
+ - 2
440
+ dtype: int32
441
+ eef_velocity_action:
442
+ names:
443
+ - left_eef_velocity
444
+ - right_eef_velocity
445
+ shape:
446
+ - 2
447
+ dtype: int32
448
+ eef_acc_mag_state:
449
+ names:
450
+ - left_eef_acc_mag
451
+ - right_eef_acc_mag
452
+ shape:
453
+ - 2
454
+ dtype: int32
455
+ eef_acc_mag_action:
456
+ names:
457
+ - left_eef_acc_mag
458
+ - right_eef_acc_mag
459
+ shape:
460
+ - 2
461
+ dtype: int32
462
+ gripper_open_scale_state:
463
+ names:
464
+ - left_gripper_open_scale
465
+ - right_gripper_open_scale
466
+ shape:
467
+ - 2
468
+ dtype: float32
469
+ gripper_open_scale_action:
470
+ names:
471
+ - left_gripper_open_scale
472
+ - right_gripper_open_scale
473
+ shape:
474
+ - 2
475
+ dtype: float32
476
+ gripper_mode_state:
477
+ names:
478
+ - left_gripper_mode
479
+ - right_gripper_mode
480
+ shape:
481
+ - 2
482
+ dtype: int32
483
+ gripper_mode_action:
484
+ names:
485
+ - left_gripper_mode
486
+ - right_gripper_mode
487
+ shape:
488
+ - 2
489
+ dtype: int32
490
+ gripper_activity_state:
491
+ names:
492
+ - left_gripper_activity
493
+ - right_gripper_activity
494
+ shape:
495
+ - 2
496
+ dtype: int32
497
+ gripper_activity_action:
498
+ names:
499
+ - left_gripper_activity
500
+ - right_gripper_activity
501
+ shape:
502
+ - 2
503
+ dtype: int32
504
+ authors:
505
+ contributed_by:
506
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
507
+ dataset_description: This dataset uses an extended format based on LeRobot and is
508
+ fully compatible with LeRobot.
509
+ homepage: https://flagopen.github.io/RoboCOIN/
510
+ paper: https://arxiv.org/abs/2511.17441
511
+ repository: https://github.com/FlagOpen/RoboCOIN
512
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
513
+ us.
514
+ support_info: For technical support, please open an issue on our GitHub repository.
515
+ license_details: apache-2.0
516
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
517
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
518
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
519
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
520
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
521
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
522
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
523
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
524
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
525
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
526
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
527
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
528
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
529
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
530
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
531
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
532
+ additional_citations: 'If you use this dataset, please also consider citing:
533
+
534
+ LeRobot Framework: https://github.com/huggingface/lerobot
535
+
536
+ '
537
+ version_info: Initial Release
538
+ data_path: data/chunk-{id}/episode_{id}.parquet
539
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
540
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_color_small_test_tube.yaml ADDED
@@ -0,0 +1,532 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_color_small_test_tube
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: red_pigment
41
+ level1: materials
42
+ level2: red_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: test_tube_rack
47
+ level1: holding_utensils
48
+ level2: test_tube_rack
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: small_test_tubes
53
+ level1: laboratory_supplies
54
+ level2: small_test_tubes
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: beaker
59
+ level1: holding_utensils
60
+ level2: beaker
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
65
+ the operation type information.
66
+ task_instruction:
67
+ - pick up the test tube with red pigment and the test tube with blue pigment by grippers
68
+ and pour them into the container.
69
+ sub_tasks:
70
+ - subtask: Pour the blue reagent into the graduated cylinder with the left gripper
71
+ subtask_index: 0
72
+ - subtask: Pour the red reagent into the graduated cylinder with the left gripper
73
+ subtask_index: 1
74
+ - subtask: Pour the yellow reagent into the graduated cylinder with the left gripper
75
+ subtask_index: 2
76
+ - subtask: Pour the red reagent into the graduated cylinder with the right gripper
77
+ subtask_index: 3
78
+ - subtask: Grasp the yellow reagent with the left gripper
79
+ subtask_index: 4
80
+ - subtask: Grasp the blue reagent with the left gripper
81
+ subtask_index: 5
82
+ - subtask: End
83
+ subtask_index: 6
84
+ - subtask: Pour the blue reagent into the graduated cylinder with the right gripper
85
+ subtask_index: 7
86
+ - subtask: Place the test tube into the brown cup with the left gripper
87
+ subtask_index: 8
88
+ - subtask: Grasp the yellow reagent with the right gripper
89
+ subtask_index: 9
90
+ - subtask: Pour the yellow reagent into the graduated cylinder with the right gripper
91
+ subtask_index: 10
92
+ - subtask: Grasp the blue reagent with the right gripper
93
+ subtask_index: 11
94
+ - subtask: Place the test tube into the brown cup with the right gripper
95
+ subtask_index: 12
96
+ - subtask: Grasp the red reagent with the left gripper
97
+ subtask_index: 13
98
+ - subtask: Grasp the red reagent with the right gripper
99
+ subtask_index: 14
100
+ - subtask: 'null'
101
+ subtask_index: 15
102
+ atomic_actions:
103
+ - grasp
104
+ - pick
105
+ - place
106
+ - pour
107
+ robot_name:
108
+ - Galaxea_R1_Lite
109
+ end_effector_type: two_finger_gripper
110
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
111
+ type information.
112
+ sensor_list:
113
+ - cam_head_left_rgb
114
+ - cam_head_right_rgb
115
+ - cam_left_wrist_rgb
116
+ - cam_right_wrist_rgb
117
+ came_info:
118
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
119
+ pix_fmt=yuv420p
120
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
121
+ pix_fmt=yuv420p
122
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
123
+ pix_fmt=yuv420p
124
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
125
+ pix_fmt=yuv420p
126
+ depth_enabled: false
127
+ coordinate_definition: right-hand-frame
128
+ joint_rotation_dim: radian
129
+ end_rotation_dim: end_rotation_dim
130
+ end_translation_dim: end_translation_dim
131
+ annotations:
132
+ - eef_acc_mag_annotation.jsonl
133
+ - eef_direction_annotation.jsonl
134
+ - eef_velocity_annotation.jsonl
135
+ - gripper_activity_annotation.jsonl
136
+ - gripper_mode_annotation.jsonl
137
+ - scene_annotations.jsonl
138
+ - subtask_annotations.jsonl
139
+ statistics:
140
+ total_episodes: 203
141
+ total_frames: 147521
142
+ fps: 30
143
+ total_tasks: 16
144
+ total_videos: 812
145
+ total_chunks: 1
146
+ chunks_size: 1000
147
+ state_dim: 14
148
+ action_dim: 14
149
+ camera_views: 4
150
+ dataset_size: 6.71 GB
151
+ frame_num: 147521
152
+ dataset_size: 6.71 GB
153
+ data_structure: 'Galaxea_R1_Lite_mix_color_small_test_tube_qced_hardlink/
154
+
155
+ |-- annotations
156
+
157
+ | |-- eef_acc_mag_annotation.jsonl
158
+
159
+ | |-- eef_direction_annotation.jsonl
160
+
161
+ | |-- eef_velocity_annotation.jsonl
162
+
163
+ | |-- gripper_activity_annotation.jsonl
164
+
165
+ | |-- gripper_mode_annotation.jsonl
166
+
167
+ | |-- scene_annotations.jsonl
168
+
169
+ | `-- subtask_annotations.jsonl
170
+
171
+ |-- data
172
+
173
+ | `-- chunk-000
174
+
175
+ | |-- episode_000000.parquet
176
+
177
+ | |-- episode_000001.parquet
178
+
179
+ | |-- episode_000002.parquet
180
+
181
+ | |-- episode_000003.parquet
182
+
183
+ | |-- episode_000004.parquet
184
+
185
+ | |-- episode_000005.parquet
186
+
187
+ | |-- episode_000006.parquet
188
+
189
+ | |-- episode_000007.parquet
190
+
191
+ | |-- episode_000008.parquet
192
+
193
+ | |-- episode_000009.parquet
194
+
195
+ | |-- episode_000010.parquet
196
+
197
+ | `-- episode_000011.parquet
198
+
199
+ | `-- ... (191 more entries)
200
+
201
+ |-- meta
202
+
203
+ | |-- episodes.jsonl
204
+
205
+ | |-- episodes_stats.jsonl
206
+
207
+ | |-- info.json
208
+
209
+ | `-- tasks.jsonl
210
+
211
+ |-- videos
212
+
213
+ | `-- chunk-000
214
+
215
+ | |-- observation.images.cam_head_left_rgb
216
+
217
+ | |-- observation.images.cam_head_right_rgb
218
+
219
+ | |-- observation.images.cam_left_wrist_rgb
220
+
221
+ | `-- observation.images.cam_right_wrist_rgb
222
+
223
+ |-- info.yaml
224
+
225
+ `-- README.md'
226
+ splits:
227
+ train: 0:202
228
+ features:
229
+ observation.images.cam_head_left_rgb:
230
+ dtype: video
231
+ shape:
232
+ - 720
233
+ - 1280
234
+ - 3
235
+ names:
236
+ - height
237
+ - width
238
+ - channels
239
+ info:
240
+ video.height: 720
241
+ video.width: 1280
242
+ video.codec: av1
243
+ video.pix_fmt: yuv420p
244
+ video.is_depth_map: false
245
+ video.fps: 30
246
+ video.channels: 3
247
+ has_audio: false
248
+ observation.images.cam_head_right_rgb:
249
+ dtype: video
250
+ shape:
251
+ - 720
252
+ - 1280
253
+ - 3
254
+ names:
255
+ - height
256
+ - width
257
+ - channels
258
+ info:
259
+ video.height: 720
260
+ video.width: 1280
261
+ video.codec: av1
262
+ video.pix_fmt: yuv420p
263
+ video.is_depth_map: false
264
+ video.fps: 30
265
+ video.channels: 3
266
+ has_audio: false
267
+ observation.images.cam_left_wrist_rgb:
268
+ dtype: video
269
+ shape:
270
+ - 720
271
+ - 1280
272
+ - 3
273
+ names:
274
+ - height
275
+ - width
276
+ - channels
277
+ info:
278
+ video.height: 720
279
+ video.width: 1280
280
+ video.codec: av1
281
+ video.pix_fmt: yuv420p
282
+ video.is_depth_map: false
283
+ video.fps: 30
284
+ video.channels: 3
285
+ has_audio: false
286
+ observation.images.cam_right_wrist_rgb:
287
+ dtype: video
288
+ shape:
289
+ - 720
290
+ - 1280
291
+ - 3
292
+ names:
293
+ - height
294
+ - width
295
+ - channels
296
+ info:
297
+ video.height: 720
298
+ video.width: 1280
299
+ video.codec: av1
300
+ video.pix_fmt: yuv420p
301
+ video.is_depth_map: false
302
+ video.fps: 30
303
+ video.channels: 3
304
+ has_audio: false
305
+ observation.state:
306
+ dtype: float32
307
+ shape:
308
+ - 14
309
+ names:
310
+ - left_arm_joint_1_rad
311
+ - left_arm_joint_2_rad
312
+ - left_arm_joint_3_rad
313
+ - left_arm_joint_4_rad
314
+ - left_arm_joint_5_rad
315
+ - left_arm_joint_6_rad
316
+ - right_arm_joint_1_rad
317
+ - right_arm_joint_2_rad
318
+ - right_arm_joint_3_rad
319
+ - right_arm_joint_4_rad
320
+ - right_arm_joint_5_rad
321
+ - right_arm_joint_6_rad
322
+ - left_gripper_open
323
+ - right_gripper_open
324
+ action:
325
+ dtype: float32
326
+ shape:
327
+ - 14
328
+ names:
329
+ - left_arm_joint_1_rad
330
+ - left_arm_joint_2_rad
331
+ - left_arm_joint_3_rad
332
+ - left_arm_joint_4_rad
333
+ - left_arm_joint_5_rad
334
+ - left_arm_joint_6_rad
335
+ - right_arm_joint_1_rad
336
+ - right_arm_joint_2_rad
337
+ - right_arm_joint_3_rad
338
+ - right_arm_joint_4_rad
339
+ - right_arm_joint_5_rad
340
+ - right_arm_joint_6_rad
341
+ - left_gripper_open
342
+ - right_gripper_open
343
+ timestamp:
344
+ dtype: float32
345
+ shape:
346
+ - 1
347
+ names: null
348
+ frame_index:
349
+ dtype: int64
350
+ shape:
351
+ - 1
352
+ names: null
353
+ episode_index:
354
+ dtype: int64
355
+ shape:
356
+ - 1
357
+ names: null
358
+ index:
359
+ dtype: int64
360
+ shape:
361
+ - 1
362
+ names: null
363
+ task_index:
364
+ dtype: int64
365
+ shape:
366
+ - 1
367
+ names: null
368
+ subtask_annotation:
369
+ names: null
370
+ shape:
371
+ - 5
372
+ dtype: int32
373
+ scene_annotation:
374
+ names: null
375
+ shape:
376
+ - 1
377
+ dtype: int32
378
+ eef_sim_pose_state:
379
+ names:
380
+ - left_eef_pos_x
381
+ - left_eef_pos_y
382
+ - left_eef_pos_z
383
+ - left_eef_rot_x
384
+ - left_eef_rot_y
385
+ - left_eef_rot_z
386
+ - right_eef_pos_x
387
+ - right_eef_pos_y
388
+ - right_eef_pos_z
389
+ - right_eef_rot_x
390
+ - right_eef_rot_y
391
+ - right_eef_rot_z
392
+ shape:
393
+ - 12
394
+ dtype: float32
395
+ eef_sim_pose_action:
396
+ names:
397
+ - left_eef_pos_x
398
+ - left_eef_pos_y
399
+ - left_eef_pos_z
400
+ - left_eef_rot_x
401
+ - left_eef_rot_y
402
+ - left_eef_rot_z
403
+ - right_eef_pos_x
404
+ - right_eef_pos_y
405
+ - right_eef_pos_z
406
+ - right_eef_rot_x
407
+ - right_eef_rot_y
408
+ - right_eef_rot_z
409
+ shape:
410
+ - 12
411
+ dtype: float32
412
+ eef_direction_state:
413
+ names:
414
+ - left_eef_direction
415
+ - right_eef_direction
416
+ shape:
417
+ - 2
418
+ dtype: int32
419
+ eef_direction_action:
420
+ names:
421
+ - left_eef_direction
422
+ - right_eef_direction
423
+ shape:
424
+ - 2
425
+ dtype: int32
426
+ eef_velocity_state:
427
+ names:
428
+ - left_eef_velocity
429
+ - right_eef_velocity
430
+ shape:
431
+ - 2
432
+ dtype: int32
433
+ eef_velocity_action:
434
+ names:
435
+ - left_eef_velocity
436
+ - right_eef_velocity
437
+ shape:
438
+ - 2
439
+ dtype: int32
440
+ eef_acc_mag_state:
441
+ names:
442
+ - left_eef_acc_mag
443
+ - right_eef_acc_mag
444
+ shape:
445
+ - 2
446
+ dtype: int32
447
+ eef_acc_mag_action:
448
+ names:
449
+ - left_eef_acc_mag
450
+ - right_eef_acc_mag
451
+ shape:
452
+ - 2
453
+ dtype: int32
454
+ gripper_open_scale_state:
455
+ names:
456
+ - left_gripper_open_scale
457
+ - right_gripper_open_scale
458
+ shape:
459
+ - 2
460
+ dtype: float32
461
+ gripper_open_scale_action:
462
+ names:
463
+ - left_gripper_open_scale
464
+ - right_gripper_open_scale
465
+ shape:
466
+ - 2
467
+ dtype: float32
468
+ gripper_mode_state:
469
+ names:
470
+ - left_gripper_mode
471
+ - right_gripper_mode
472
+ shape:
473
+ - 2
474
+ dtype: int32
475
+ gripper_mode_action:
476
+ names:
477
+ - left_gripper_mode
478
+ - right_gripper_mode
479
+ shape:
480
+ - 2
481
+ dtype: int32
482
+ gripper_activity_state:
483
+ names:
484
+ - left_gripper_activity
485
+ - right_gripper_activity
486
+ shape:
487
+ - 2
488
+ dtype: int32
489
+ gripper_activity_action:
490
+ names:
491
+ - left_gripper_activity
492
+ - right_gripper_activity
493
+ shape:
494
+ - 2
495
+ dtype: int32
496
+ authors:
497
+ contributed_by:
498
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
499
+ dataset_description: This dataset uses an extended format based on LeRobot and is
500
+ fully compatible with LeRobot.
501
+ homepage: https://flagopen.github.io/RoboCOIN/
502
+ paper: https://arxiv.org/abs/2511.17441
503
+ repository: https://github.com/FlagOpen/RoboCOIN
504
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
505
+ us.
506
+ support_info: For technical support, please open an issue on our GitHub repository.
507
+ license_details: apache-2.0
508
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
509
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
510
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
511
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
512
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
513
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
514
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
515
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
516
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
517
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
518
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
519
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
520
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
521
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
522
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
523
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
524
+ additional_citations: 'If you use this dataset, please also consider citing:
525
+
526
+ LeRobot Framework: https://github.com/huggingface/lerobot
527
+
528
+ '
529
+ version_info: Initial Release
530
+ data_path: data/chunk-{id}/episode_{id}.parquet
531
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
532
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_red_blue_large_test_tube.yaml ADDED
@@ -0,0 +1,528 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_red_blue_large_test_tube
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_pigment
41
+ level1: materials
42
+ level2: yellow_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: red_pigment
47
+ level1: materials
48
+ level2: red_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: test_tubes
59
+ level1: laboratory_supplies
60
+ level2: test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - pick up the test tube with red pigment and the test tube with blue pigment by grippers
74
+ and pour them into the beaker.
75
+ sub_tasks:
76
+ - subtask: Pour the red reagent into the graduated cylinder and place the test tube
77
+ into the paper cup
78
+ subtask_index: 0
79
+ - subtask: Grasp the red reagent with the right gripper
80
+ subtask_index: 1
81
+ - subtask: Pour the blue reagent into the graduated cylinder and place the test tube
82
+ into the paper cup
83
+ subtask_index: 2
84
+ - subtask: Pour the blue reagent into the graduated cylinder with the left gripper
85
+ subtask_index: 3
86
+ - subtask: End
87
+ subtask_index: 4
88
+ - subtask: Place the test tube into the paper cup with the right gripper
89
+ subtask_index: 5
90
+ - subtask: Place the test tube into the paper cup with the left gripper
91
+ subtask_index: 6
92
+ - subtask: Grasp the blue reagent with the left gripper
93
+ subtask_index: 7
94
+ - subtask: Pour the red reagent into the graduated cylinder with the right gripper
95
+ subtask_index: 8
96
+ - subtask: 'null'
97
+ subtask_index: 9
98
+ atomic_actions:
99
+ - grasp
100
+ - pick
101
+ - place
102
+ - pour
103
+ robot_name:
104
+ - Galaxea_R1_Lite
105
+ end_effector_type: two_finger_gripper
106
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
107
+ type information.
108
+ sensor_list:
109
+ - cam_head_left_rgb
110
+ - cam_head_right_rgb
111
+ - cam_left_wrist_rgb
112
+ - cam_right_wrist_rgb
113
+ came_info:
114
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
115
+ pix_fmt=yuv420p
116
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
117
+ pix_fmt=yuv420p
118
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
119
+ pix_fmt=yuv420p
120
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
121
+ pix_fmt=yuv420p
122
+ depth_enabled: false
123
+ coordinate_definition: right-hand-frame
124
+ joint_rotation_dim: radian
125
+ end_rotation_dim: end_rotation_dim
126
+ end_translation_dim: end_translation_dim
127
+ annotations:
128
+ - eef_acc_mag_annotation.jsonl
129
+ - eef_direction_annotation.jsonl
130
+ - eef_velocity_annotation.jsonl
131
+ - gripper_activity_annotation.jsonl
132
+ - gripper_mode_annotation.jsonl
133
+ - scene_annotations.jsonl
134
+ - subtask_annotations.jsonl
135
+ statistics:
136
+ total_episodes: 50
137
+ total_frames: 28433
138
+ fps: 30
139
+ total_tasks: 10
140
+ total_videos: 200
141
+ total_chunks: 1
142
+ chunks_size: 1000
143
+ state_dim: 14
144
+ action_dim: 14
145
+ camera_views: 4
146
+ dataset_size: 1.57 GB
147
+ frame_num: 28433
148
+ dataset_size: 1.57 GB
149
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_mix_red_blue_large_test_tube_qced_hardlink/
150
+
151
+ |-- annotations
152
+
153
+ | |-- eef_acc_mag_annotation.jsonl
154
+
155
+ | |-- eef_direction_annotation.jsonl
156
+
157
+ | |-- eef_velocity_annotation.jsonl
158
+
159
+ | |-- gripper_activity_annotation.jsonl
160
+
161
+ | |-- gripper_mode_annotation.jsonl
162
+
163
+ | |-- scene_annotations.jsonl
164
+
165
+ | `-- subtask_annotations.jsonl
166
+
167
+ |-- data
168
+
169
+ | `-- chunk-000
170
+
171
+ | |-- episode_000000.parquet
172
+
173
+ | |-- episode_000001.parquet
174
+
175
+ | |-- episode_000002.parquet
176
+
177
+ | |-- episode_000003.parquet
178
+
179
+ | |-- episode_000004.parquet
180
+
181
+ | |-- episode_000005.parquet
182
+
183
+ | |-- episode_000006.parquet
184
+
185
+ | |-- episode_000007.parquet
186
+
187
+ | |-- episode_000008.parquet
188
+
189
+ | |-- episode_000009.parquet
190
+
191
+ | |-- episode_000010.parquet
192
+
193
+ | `-- episode_000011.parquet
194
+
195
+ | `-- ... (38 more entries)
196
+
197
+ |-- meta
198
+
199
+ | |-- episodes.jsonl
200
+
201
+ | |-- episodes_stats.jsonl
202
+
203
+ | |-- info.json
204
+
205
+ | `-- tasks.jsonl
206
+
207
+ |-- videos
208
+
209
+ | `-- chunk-000
210
+
211
+ | |-- observation.images.cam_head_left_rgb
212
+
213
+ | |-- observation.images.cam_head_right_rgb
214
+
215
+ | |-- observation.images.cam_left_wrist_rgb
216
+
217
+ | `-- observation.images.cam_right_wrist_rgb
218
+
219
+ |-- info.yaml
220
+
221
+ `-- README.md'
222
+ splits:
223
+ train: 0:49
224
+ features:
225
+ observation.images.cam_head_left_rgb:
226
+ dtype: video
227
+ shape:
228
+ - 720
229
+ - 1280
230
+ - 3
231
+ names:
232
+ - height
233
+ - width
234
+ - channels
235
+ info:
236
+ video.height: 720
237
+ video.width: 1280
238
+ video.codec: av1
239
+ video.pix_fmt: yuv420p
240
+ video.is_depth_map: false
241
+ video.fps: 30
242
+ video.channels: 3
243
+ has_audio: false
244
+ observation.images.cam_head_right_rgb:
245
+ dtype: video
246
+ shape:
247
+ - 720
248
+ - 1280
249
+ - 3
250
+ names:
251
+ - height
252
+ - width
253
+ - channels
254
+ info:
255
+ video.height: 720
256
+ video.width: 1280
257
+ video.codec: av1
258
+ video.pix_fmt: yuv420p
259
+ video.is_depth_map: false
260
+ video.fps: 30
261
+ video.channels: 3
262
+ has_audio: false
263
+ observation.images.cam_left_wrist_rgb:
264
+ dtype: video
265
+ shape:
266
+ - 360
267
+ - 640
268
+ - 3
269
+ names:
270
+ - height
271
+ - width
272
+ - channels
273
+ info:
274
+ video.height: 360
275
+ video.width: 640
276
+ video.codec: av1
277
+ video.pix_fmt: yuv420p
278
+ video.is_depth_map: false
279
+ video.fps: 30
280
+ video.channels: 3
281
+ has_audio: false
282
+ observation.images.cam_right_wrist_rgb:
283
+ dtype: video
284
+ shape:
285
+ - 360
286
+ - 640
287
+ - 3
288
+ names:
289
+ - height
290
+ - width
291
+ - channels
292
+ info:
293
+ video.height: 360
294
+ video.width: 640
295
+ video.codec: av1
296
+ video.pix_fmt: yuv420p
297
+ video.is_depth_map: false
298
+ video.fps: 30
299
+ video.channels: 3
300
+ has_audio: false
301
+ observation.state:
302
+ dtype: float32
303
+ shape:
304
+ - 14
305
+ names:
306
+ - left_arm_joint_1_rad
307
+ - left_arm_joint_2_rad
308
+ - left_arm_joint_3_rad
309
+ - left_arm_joint_4_rad
310
+ - left_arm_joint_5_rad
311
+ - left_arm_joint_6_rad
312
+ - right_arm_joint_1_rad
313
+ - right_arm_joint_2_rad
314
+ - right_arm_joint_3_rad
315
+ - right_arm_joint_4_rad
316
+ - right_arm_joint_5_rad
317
+ - right_arm_joint_6_rad
318
+ - left_gripper_open
319
+ - right_gripper_open
320
+ action:
321
+ dtype: float32
322
+ shape:
323
+ - 14
324
+ names:
325
+ - left_arm_joint_1_rad
326
+ - left_arm_joint_2_rad
327
+ - left_arm_joint_3_rad
328
+ - left_arm_joint_4_rad
329
+ - left_arm_joint_5_rad
330
+ - left_arm_joint_6_rad
331
+ - right_arm_joint_1_rad
332
+ - right_arm_joint_2_rad
333
+ - right_arm_joint_3_rad
334
+ - right_arm_joint_4_rad
335
+ - right_arm_joint_5_rad
336
+ - right_arm_joint_6_rad
337
+ - left_gripper_open
338
+ - right_gripper_open
339
+ timestamp:
340
+ dtype: float32
341
+ shape:
342
+ - 1
343
+ names: null
344
+ frame_index:
345
+ dtype: int64
346
+ shape:
347
+ - 1
348
+ names: null
349
+ episode_index:
350
+ dtype: int64
351
+ shape:
352
+ - 1
353
+ names: null
354
+ index:
355
+ dtype: int64
356
+ shape:
357
+ - 1
358
+ names: null
359
+ task_index:
360
+ dtype: int64
361
+ shape:
362
+ - 1
363
+ names: null
364
+ subtask_annotation:
365
+ names: null
366
+ shape:
367
+ - 5
368
+ dtype: int32
369
+ scene_annotation:
370
+ names: null
371
+ shape:
372
+ - 1
373
+ dtype: int32
374
+ eef_sim_pose_state:
375
+ names:
376
+ - left_eef_pos_x
377
+ - left_eef_pos_y
378
+ - left_eef_pos_z
379
+ - left_eef_rot_x
380
+ - left_eef_rot_y
381
+ - left_eef_rot_z
382
+ - right_eef_pos_x
383
+ - right_eef_pos_y
384
+ - right_eef_pos_z
385
+ - right_eef_rot_x
386
+ - right_eef_rot_y
387
+ - right_eef_rot_z
388
+ shape:
389
+ - 12
390
+ dtype: float32
391
+ eef_sim_pose_action:
392
+ names:
393
+ - left_eef_pos_x
394
+ - left_eef_pos_y
395
+ - left_eef_pos_z
396
+ - left_eef_rot_x
397
+ - left_eef_rot_y
398
+ - left_eef_rot_z
399
+ - right_eef_pos_x
400
+ - right_eef_pos_y
401
+ - right_eef_pos_z
402
+ - right_eef_rot_x
403
+ - right_eef_rot_y
404
+ - right_eef_rot_z
405
+ shape:
406
+ - 12
407
+ dtype: float32
408
+ eef_direction_state:
409
+ names:
410
+ - left_eef_direction
411
+ - right_eef_direction
412
+ shape:
413
+ - 2
414
+ dtype: int32
415
+ eef_direction_action:
416
+ names:
417
+ - left_eef_direction
418
+ - right_eef_direction
419
+ shape:
420
+ - 2
421
+ dtype: int32
422
+ eef_velocity_state:
423
+ names:
424
+ - left_eef_velocity
425
+ - right_eef_velocity
426
+ shape:
427
+ - 2
428
+ dtype: int32
429
+ eef_velocity_action:
430
+ names:
431
+ - left_eef_velocity
432
+ - right_eef_velocity
433
+ shape:
434
+ - 2
435
+ dtype: int32
436
+ eef_acc_mag_state:
437
+ names:
438
+ - left_eef_acc_mag
439
+ - right_eef_acc_mag
440
+ shape:
441
+ - 2
442
+ dtype: int32
443
+ eef_acc_mag_action:
444
+ names:
445
+ - left_eef_acc_mag
446
+ - right_eef_acc_mag
447
+ shape:
448
+ - 2
449
+ dtype: int32
450
+ gripper_open_scale_state:
451
+ names:
452
+ - left_gripper_open_scale
453
+ - right_gripper_open_scale
454
+ shape:
455
+ - 2
456
+ dtype: float32
457
+ gripper_open_scale_action:
458
+ names:
459
+ - left_gripper_open_scale
460
+ - right_gripper_open_scale
461
+ shape:
462
+ - 2
463
+ dtype: float32
464
+ gripper_mode_state:
465
+ names:
466
+ - left_gripper_mode
467
+ - right_gripper_mode
468
+ shape:
469
+ - 2
470
+ dtype: int32
471
+ gripper_mode_action:
472
+ names:
473
+ - left_gripper_mode
474
+ - right_gripper_mode
475
+ shape:
476
+ - 2
477
+ dtype: int32
478
+ gripper_activity_state:
479
+ names:
480
+ - left_gripper_activity
481
+ - right_gripper_activity
482
+ shape:
483
+ - 2
484
+ dtype: int32
485
+ gripper_activity_action:
486
+ names:
487
+ - left_gripper_activity
488
+ - right_gripper_activity
489
+ shape:
490
+ - 2
491
+ dtype: int32
492
+ authors:
493
+ contributed_by:
494
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
495
+ dataset_description: This dataset uses an extended format based on LeRobot and is
496
+ fully compatible with LeRobot.
497
+ homepage: https://flagopen.github.io/RoboCOIN/
498
+ paper: https://arxiv.org/abs/2511.17441
499
+ repository: https://github.com/FlagOpen/RoboCOIN
500
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
501
+ us.
502
+ support_info: For technical support, please open an issue on our GitHub repository.
503
+ license_details: apache-2.0
504
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
505
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
506
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
507
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
508
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
509
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
510
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
511
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
512
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
513
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
514
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
515
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
516
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
517
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
518
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
519
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
520
+ additional_citations: 'If you use this dataset, please also consider citing:
521
+
522
+ LeRobot Framework: https://github.com/huggingface/lerobot
523
+
524
+ '
525
+ version_info: Initial Release
526
+ data_path: data/chunk-{id}/episode_{id}.parquet
527
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
528
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_red_blue_left_large_test_tube.yaml ADDED
@@ -0,0 +1,520 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_red_blue_left_large_test_tube
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_pigment
41
+ level1: materials
42
+ level2: yellow_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: red_pigment
47
+ level1: materials
48
+ level2: red_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: test_tubes
59
+ level1: laboratory_supplies
60
+ level2: test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - pick up the test tube with red pigment and the test tube with blue pigment by grippers
74
+ and pour them into the container.
75
+ sub_tasks:
76
+ - subtask: Pour the blue reagent into the graduated cylinder with the left gripper
77
+ subtask_index: 0
78
+ - subtask: Pour the red reagent into the graduated cylinder with the left gripper
79
+ subtask_index: 1
80
+ - subtask: Grasp the blue reagent with the left gripper
81
+ subtask_index: 2
82
+ - subtask: End
83
+ subtask_index: 3
84
+ - subtask: Place the test tube into the bowl with the left gripper
85
+ subtask_index: 4
86
+ - subtask: Grasp the red reagent with the left gripper
87
+ subtask_index: 5
88
+ - subtask: 'null'
89
+ subtask_index: 6
90
+ atomic_actions:
91
+ - grasp
92
+ - pick
93
+ - place
94
+ - pour
95
+ robot_name:
96
+ - Galaxea_R1_Lite
97
+ end_effector_type: two_finger_gripper
98
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
99
+ type information.
100
+ sensor_list:
101
+ - cam_head_left_rgb
102
+ - cam_head_right_rgb
103
+ - cam_left_wrist_rgb
104
+ - cam_right_wrist_rgb
105
+ came_info:
106
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
107
+ pix_fmt=yuv420p
108
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
109
+ pix_fmt=yuv420p
110
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
111
+ pix_fmt=yuv420p
112
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
113
+ pix_fmt=yuv420p
114
+ depth_enabled: false
115
+ coordinate_definition: right-hand-frame
116
+ joint_rotation_dim: radian
117
+ end_rotation_dim: end_rotation_dim
118
+ end_translation_dim: end_translation_dim
119
+ annotations:
120
+ - eef_acc_mag_annotation.jsonl
121
+ - eef_direction_annotation.jsonl
122
+ - eef_velocity_annotation.jsonl
123
+ - gripper_activity_annotation.jsonl
124
+ - gripper_mode_annotation.jsonl
125
+ - scene_annotations.jsonl
126
+ - subtask_annotations.jsonl
127
+ statistics:
128
+ total_episodes: 50
129
+ total_frames: 46733
130
+ fps: 30
131
+ total_tasks: 7
132
+ total_videos: 200
133
+ total_chunks: 1
134
+ chunks_size: 1000
135
+ state_dim: 14
136
+ action_dim: 14
137
+ camera_views: 4
138
+ dataset_size: 1.57 GB
139
+ frame_num: 46733
140
+ dataset_size: 1.57 GB
141
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_mix_red_blue_left_large_test_tube_qced_hardlink/
142
+
143
+ |-- annotations
144
+
145
+ | |-- eef_acc_mag_annotation.jsonl
146
+
147
+ | |-- eef_direction_annotation.jsonl
148
+
149
+ | |-- eef_velocity_annotation.jsonl
150
+
151
+ | |-- gripper_activity_annotation.jsonl
152
+
153
+ | |-- gripper_mode_annotation.jsonl
154
+
155
+ | |-- scene_annotations.jsonl
156
+
157
+ | `-- subtask_annotations.jsonl
158
+
159
+ |-- data
160
+
161
+ | `-- chunk-000
162
+
163
+ | |-- episode_000000.parquet
164
+
165
+ | |-- episode_000001.parquet
166
+
167
+ | |-- episode_000002.parquet
168
+
169
+ | |-- episode_000003.parquet
170
+
171
+ | |-- episode_000004.parquet
172
+
173
+ | |-- episode_000005.parquet
174
+
175
+ | |-- episode_000006.parquet
176
+
177
+ | |-- episode_000007.parquet
178
+
179
+ | |-- episode_000008.parquet
180
+
181
+ | |-- episode_000009.parquet
182
+
183
+ | |-- episode_000010.parquet
184
+
185
+ | `-- episode_000011.parquet
186
+
187
+ | `-- ... (38 more entries)
188
+
189
+ |-- meta
190
+
191
+ | |-- episodes.jsonl
192
+
193
+ | |-- episodes_stats.jsonl
194
+
195
+ | |-- info.json
196
+
197
+ | `-- tasks.jsonl
198
+
199
+ |-- videos
200
+
201
+ | `-- chunk-000
202
+
203
+ | |-- observation.images.cam_head_left_rgb
204
+
205
+ | |-- observation.images.cam_head_right_rgb
206
+
207
+ | |-- observation.images.cam_left_wrist_rgb
208
+
209
+ | `-- observation.images.cam_right_wrist_rgb
210
+
211
+ |-- info.yaml
212
+
213
+ `-- README.md'
214
+ splits:
215
+ train: 0:49
216
+ features:
217
+ observation.images.cam_head_left_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 720
221
+ - 1280
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 720
229
+ video.width: 1280
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_head_right_rgb:
237
+ dtype: video
238
+ shape:
239
+ - 720
240
+ - 1280
241
+ - 3
242
+ names:
243
+ - height
244
+ - width
245
+ - channels
246
+ info:
247
+ video.height: 720
248
+ video.width: 1280
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_left_wrist_rgb:
256
+ dtype: video
257
+ shape:
258
+ - 720
259
+ - 1280
260
+ - 3
261
+ names:
262
+ - height
263
+ - width
264
+ - channels
265
+ info:
266
+ video.height: 720
267
+ video.width: 1280
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.images.cam_right_wrist_rgb:
275
+ dtype: video
276
+ shape:
277
+ - 720
278
+ - 1280
279
+ - 3
280
+ names:
281
+ - height
282
+ - width
283
+ - channels
284
+ info:
285
+ video.height: 720
286
+ video.width: 1280
287
+ video.codec: av1
288
+ video.pix_fmt: yuv420p
289
+ video.is_depth_map: false
290
+ video.fps: 30
291
+ video.channels: 3
292
+ has_audio: false
293
+ observation.state:
294
+ dtype: float32
295
+ shape:
296
+ - 14
297
+ names:
298
+ - left_arm_joint_1_rad
299
+ - left_arm_joint_2_rad
300
+ - left_arm_joint_3_rad
301
+ - left_arm_joint_4_rad
302
+ - left_arm_joint_5_rad
303
+ - left_arm_joint_6_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
+ - left_gripper_open
311
+ - right_gripper_open
312
+ action:
313
+ dtype: float32
314
+ shape:
315
+ - 14
316
+ names:
317
+ - left_arm_joint_1_rad
318
+ - left_arm_joint_2_rad
319
+ - left_arm_joint_3_rad
320
+ - left_arm_joint_4_rad
321
+ - left_arm_joint_5_rad
322
+ - left_arm_joint_6_rad
323
+ - right_arm_joint_1_rad
324
+ - right_arm_joint_2_rad
325
+ - right_arm_joint_3_rad
326
+ - right_arm_joint_4_rad
327
+ - right_arm_joint_5_rad
328
+ - right_arm_joint_6_rad
329
+ - left_gripper_open
330
+ - right_gripper_open
331
+ timestamp:
332
+ dtype: float32
333
+ shape:
334
+ - 1
335
+ names: null
336
+ frame_index:
337
+ dtype: int64
338
+ shape:
339
+ - 1
340
+ names: null
341
+ episode_index:
342
+ dtype: int64
343
+ shape:
344
+ - 1
345
+ names: null
346
+ index:
347
+ dtype: int64
348
+ shape:
349
+ - 1
350
+ names: null
351
+ task_index:
352
+ dtype: int64
353
+ shape:
354
+ - 1
355
+ names: null
356
+ subtask_annotation:
357
+ names: null
358
+ shape:
359
+ - 5
360
+ dtype: int32
361
+ scene_annotation:
362
+ names: null
363
+ shape:
364
+ - 1
365
+ dtype: int32
366
+ eef_sim_pose_state:
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
+ shape:
381
+ - 12
382
+ dtype: float32
383
+ eef_sim_pose_action:
384
+ names:
385
+ - left_eef_pos_x
386
+ - left_eef_pos_y
387
+ - left_eef_pos_z
388
+ - left_eef_rot_x
389
+ - left_eef_rot_y
390
+ - left_eef_rot_z
391
+ - right_eef_pos_x
392
+ - right_eef_pos_y
393
+ - right_eef_pos_z
394
+ - right_eef_rot_x
395
+ - right_eef_rot_y
396
+ - right_eef_rot_z
397
+ shape:
398
+ - 12
399
+ dtype: float32
400
+ eef_direction_state:
401
+ names:
402
+ - left_eef_direction
403
+ - right_eef_direction
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ eef_direction_action:
408
+ names:
409
+ - left_eef_direction
410
+ - right_eef_direction
411
+ shape:
412
+ - 2
413
+ dtype: int32
414
+ eef_velocity_state:
415
+ names:
416
+ - left_eef_velocity
417
+ - right_eef_velocity
418
+ shape:
419
+ - 2
420
+ dtype: int32
421
+ eef_velocity_action:
422
+ names:
423
+ - left_eef_velocity
424
+ - right_eef_velocity
425
+ shape:
426
+ - 2
427
+ dtype: int32
428
+ eef_acc_mag_state:
429
+ names:
430
+ - left_eef_acc_mag
431
+ - right_eef_acc_mag
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ eef_acc_mag_action:
436
+ names:
437
+ - left_eef_acc_mag
438
+ - right_eef_acc_mag
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ gripper_open_scale_state:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ shape:
447
+ - 2
448
+ dtype: float32
449
+ gripper_open_scale_action:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ shape:
454
+ - 2
455
+ dtype: float32
456
+ gripper_mode_state:
457
+ names:
458
+ - left_gripper_mode
459
+ - right_gripper_mode
460
+ shape:
461
+ - 2
462
+ dtype: int32
463
+ gripper_mode_action:
464
+ names:
465
+ - left_gripper_mode
466
+ - right_gripper_mode
467
+ shape:
468
+ - 2
469
+ dtype: int32
470
+ gripper_activity_state:
471
+ names:
472
+ - left_gripper_activity
473
+ - right_gripper_activity
474
+ shape:
475
+ - 2
476
+ dtype: int32
477
+ gripper_activity_action:
478
+ names:
479
+ - left_gripper_activity
480
+ - right_gripper_activity
481
+ shape:
482
+ - 2
483
+ dtype: int32
484
+ authors:
485
+ contributed_by:
486
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
487
+ dataset_description: This dataset uses an extended format based on LeRobot and is
488
+ fully compatible with LeRobot.
489
+ homepage: https://flagopen.github.io/RoboCOIN/
490
+ paper: https://arxiv.org/abs/2511.17441
491
+ repository: https://github.com/FlagOpen/RoboCOIN
492
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
493
+ us.
494
+ support_info: For technical support, please open an issue on our GitHub repository.
495
+ license_details: apache-2.0
496
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
497
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
498
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
499
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
500
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
501
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
502
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
503
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
504
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
505
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
506
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
507
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
508
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
509
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
510
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
511
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
512
+ additional_citations: 'If you use this dataset, please also consider citing:
513
+
514
+ LeRobot Framework: https://github.com/huggingface/lerobot
515
+
516
+ '
517
+ version_info: Initial Release
518
+ data_path: data/chunk-{id}/episode_{id}.parquet
519
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
520
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_red_blue_right.yaml ADDED
@@ -0,0 +1,536 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_red_blue_right
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: red_pigment
35
+ level1: materials
36
+ level2: red_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: blue_pigment
41
+ level1: materials
42
+ level2: blue_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: yellow_pigment
47
+ level1: materials
48
+ level2: yellow_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: test_tubes
59
+ level1: laboratory_supplies
60
+ level2: test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - pick up the test tube with red pigment and the test tube with blue pigment by grippers
74
+ and pour them into the container.
75
+ sub_tasks:
76
+ - subtask: Pour the red reagent into the graduated cylinder with right gripper
77
+ subtask_index: 0
78
+ - subtask: Pour the red reagent into the graduated cylinder with the right gripper
79
+ subtask_index: 1
80
+ - subtask: Pick up the test tube containing the red reagent with right gripper
81
+ subtask_index: 2
82
+ - subtask: End
83
+ subtask_index: 3
84
+ - subtask: Place the test tube into the bowl with right gripper
85
+ subtask_index: 4
86
+ - subtask: Pour the blue reagent into the graduated cylinder with the right gripper
87
+ subtask_index: 5
88
+ - subtask: Pick up the test tube containing the blue reagent with right gripper
89
+ subtask_index: 6
90
+ - subtask: Pour the blue reagent into the graduated cylinder with right gripper
91
+ subtask_index: 7
92
+ - subtask: Grasp the blue reagent with the right gripper
93
+ subtask_index: 8
94
+ - subtask: Grasp the yellow reagent with the right gripper
95
+ subtask_index: 9
96
+ - subtask: Pour the yellow reagent into the graduated cylinder with the right gripper
97
+ subtask_index: 10
98
+ - subtask: end
99
+ subtask_index: 11
100
+ - subtask: Place the test tube into the bowl with the right gripper
101
+ subtask_index: 12
102
+ - subtask: Grasp the red reagent with the right gripper
103
+ subtask_index: 13
104
+ - subtask: 'null'
105
+ subtask_index: 14
106
+ atomic_actions:
107
+ - grasp
108
+ - pick
109
+ - place
110
+ - pour
111
+ robot_name:
112
+ - Galaxea_R1_Lite
113
+ end_effector_type: two_finger_gripper
114
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
115
+ type information.
116
+ sensor_list:
117
+ - cam_head_left_rgb
118
+ - cam_head_right_rgb
119
+ - cam_left_wrist_rgb
120
+ - cam_right_wrist_rgb
121
+ came_info:
122
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
123
+ pix_fmt=yuv420p
124
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
125
+ pix_fmt=yuv420p
126
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
127
+ pix_fmt=yuv420p
128
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
129
+ pix_fmt=yuv420p
130
+ depth_enabled: false
131
+ coordinate_definition: right-hand-frame
132
+ joint_rotation_dim: radian
133
+ end_rotation_dim: end_rotation_dim
134
+ end_translation_dim: end_translation_dim
135
+ annotations:
136
+ - eef_acc_mag_annotation.jsonl
137
+ - eef_direction_annotation.jsonl
138
+ - eef_velocity_annotation.jsonl
139
+ - gripper_activity_annotation.jsonl
140
+ - gripper_mode_annotation.jsonl
141
+ - scene_annotations.jsonl
142
+ - subtask_annotations.jsonl
143
+ statistics:
144
+ total_episodes: 50
145
+ total_frames: 32072
146
+ fps: 30
147
+ total_tasks: 15
148
+ total_videos: 200
149
+ total_chunks: 1
150
+ chunks_size: 1000
151
+ state_dim: 14
152
+ action_dim: 14
153
+ camera_views: 4
154
+ dataset_size: 647.52 MB
155
+ frame_num: 32072
156
+ dataset_size: 647.52 MB
157
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_mix_red_blue_right_qced_hardlink/
158
+
159
+ |-- annotations
160
+
161
+ | |-- eef_acc_mag_annotation.jsonl
162
+
163
+ | |-- eef_direction_annotation.jsonl
164
+
165
+ | |-- eef_velocity_annotation.jsonl
166
+
167
+ | |-- gripper_activity_annotation.jsonl
168
+
169
+ | |-- gripper_mode_annotation.jsonl
170
+
171
+ | |-- scene_annotations.jsonl
172
+
173
+ | `-- subtask_annotations.jsonl
174
+
175
+ |-- data
176
+
177
+ | `-- chunk-000
178
+
179
+ | |-- episode_000000.parquet
180
+
181
+ | |-- episode_000001.parquet
182
+
183
+ | |-- episode_000002.parquet
184
+
185
+ | |-- episode_000003.parquet
186
+
187
+ | |-- episode_000004.parquet
188
+
189
+ | |-- episode_000005.parquet
190
+
191
+ | |-- episode_000006.parquet
192
+
193
+ | |-- episode_000007.parquet
194
+
195
+ | |-- episode_000008.parquet
196
+
197
+ | |-- episode_000009.parquet
198
+
199
+ | |-- episode_000010.parquet
200
+
201
+ | `-- episode_000011.parquet
202
+
203
+ | `-- ... (38 more entries)
204
+
205
+ |-- meta
206
+
207
+ | |-- episodes.jsonl
208
+
209
+ | |-- episodes_stats.jsonl
210
+
211
+ | |-- info.json
212
+
213
+ | `-- tasks.jsonl
214
+
215
+ |-- videos
216
+
217
+ | `-- chunk-000
218
+
219
+ | |-- observation.images.cam_head_left_rgb
220
+
221
+ | |-- observation.images.cam_head_right_rgb
222
+
223
+ | |-- observation.images.cam_left_wrist_rgb
224
+
225
+ | `-- observation.images.cam_right_wrist_rgb
226
+
227
+ |-- info.yaml
228
+
229
+ `-- README.md'
230
+ splits:
231
+ train: 0:49
232
+ features:
233
+ observation.images.cam_head_left_rgb:
234
+ dtype: video
235
+ shape:
236
+ - 720
237
+ - 1280
238
+ - 3
239
+ names:
240
+ - height
241
+ - width
242
+ - channels
243
+ info:
244
+ video.height: 720
245
+ video.width: 1280
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.images.cam_head_right_rgb:
253
+ dtype: video
254
+ shape:
255
+ - 720
256
+ - 1280
257
+ - 3
258
+ names:
259
+ - height
260
+ - width
261
+ - channels
262
+ info:
263
+ video.height: 720
264
+ video.width: 1280
265
+ video.codec: av1
266
+ video.pix_fmt: yuv420p
267
+ video.is_depth_map: false
268
+ video.fps: 30
269
+ video.channels: 3
270
+ has_audio: false
271
+ observation.images.cam_left_wrist_rgb:
272
+ dtype: video
273
+ shape:
274
+ - 360
275
+ - 640
276
+ - 3
277
+ names:
278
+ - height
279
+ - width
280
+ - channels
281
+ info:
282
+ video.height: 360
283
+ video.width: 640
284
+ video.codec: av1
285
+ video.pix_fmt: yuv420p
286
+ video.is_depth_map: false
287
+ video.fps: 30
288
+ video.channels: 3
289
+ has_audio: false
290
+ observation.images.cam_right_wrist_rgb:
291
+ dtype: video
292
+ shape:
293
+ - 360
294
+ - 640
295
+ - 3
296
+ names:
297
+ - height
298
+ - width
299
+ - channels
300
+ info:
301
+ video.height: 360
302
+ video.width: 640
303
+ video.codec: av1
304
+ video.pix_fmt: yuv420p
305
+ video.is_depth_map: false
306
+ video.fps: 30
307
+ video.channels: 3
308
+ has_audio: false
309
+ observation.state:
310
+ dtype: float32
311
+ shape:
312
+ - 14
313
+ names:
314
+ - left_arm_joint_1_rad
315
+ - left_arm_joint_2_rad
316
+ - left_arm_joint_3_rad
317
+ - left_arm_joint_4_rad
318
+ - left_arm_joint_5_rad
319
+ - left_arm_joint_6_rad
320
+ - right_arm_joint_1_rad
321
+ - right_arm_joint_2_rad
322
+ - right_arm_joint_3_rad
323
+ - right_arm_joint_4_rad
324
+ - right_arm_joint_5_rad
325
+ - right_arm_joint_6_rad
326
+ - left_gripper_open
327
+ - right_gripper_open
328
+ action:
329
+ dtype: float32
330
+ shape:
331
+ - 14
332
+ names:
333
+ - left_arm_joint_1_rad
334
+ - left_arm_joint_2_rad
335
+ - left_arm_joint_3_rad
336
+ - left_arm_joint_4_rad
337
+ - left_arm_joint_5_rad
338
+ - left_arm_joint_6_rad
339
+ - right_arm_joint_1_rad
340
+ - right_arm_joint_2_rad
341
+ - right_arm_joint_3_rad
342
+ - right_arm_joint_4_rad
343
+ - right_arm_joint_5_rad
344
+ - right_arm_joint_6_rad
345
+ - left_gripper_open
346
+ - right_gripper_open
347
+ timestamp:
348
+ dtype: float32
349
+ shape:
350
+ - 1
351
+ names: null
352
+ frame_index:
353
+ dtype: int64
354
+ shape:
355
+ - 1
356
+ names: null
357
+ episode_index:
358
+ dtype: int64
359
+ shape:
360
+ - 1
361
+ names: null
362
+ index:
363
+ dtype: int64
364
+ shape:
365
+ - 1
366
+ names: null
367
+ task_index:
368
+ dtype: int64
369
+ shape:
370
+ - 1
371
+ names: null
372
+ subtask_annotation:
373
+ names: null
374
+ shape:
375
+ - 5
376
+ dtype: int32
377
+ scene_annotation:
378
+ names: null
379
+ shape:
380
+ - 1
381
+ dtype: int32
382
+ eef_sim_pose_state:
383
+ names:
384
+ - left_eef_pos_x
385
+ - left_eef_pos_y
386
+ - left_eef_pos_z
387
+ - left_eef_rot_x
388
+ - left_eef_rot_y
389
+ - left_eef_rot_z
390
+ - right_eef_pos_x
391
+ - right_eef_pos_y
392
+ - right_eef_pos_z
393
+ - right_eef_rot_x
394
+ - right_eef_rot_y
395
+ - right_eef_rot_z
396
+ shape:
397
+ - 12
398
+ dtype: float32
399
+ eef_sim_pose_action:
400
+ names:
401
+ - left_eef_pos_x
402
+ - left_eef_pos_y
403
+ - left_eef_pos_z
404
+ - left_eef_rot_x
405
+ - left_eef_rot_y
406
+ - left_eef_rot_z
407
+ - right_eef_pos_x
408
+ - right_eef_pos_y
409
+ - right_eef_pos_z
410
+ - right_eef_rot_x
411
+ - right_eef_rot_y
412
+ - right_eef_rot_z
413
+ shape:
414
+ - 12
415
+ dtype: float32
416
+ eef_direction_state:
417
+ names:
418
+ - left_eef_direction
419
+ - right_eef_direction
420
+ shape:
421
+ - 2
422
+ dtype: int32
423
+ eef_direction_action:
424
+ names:
425
+ - left_eef_direction
426
+ - right_eef_direction
427
+ shape:
428
+ - 2
429
+ dtype: int32
430
+ eef_velocity_state:
431
+ names:
432
+ - left_eef_velocity
433
+ - right_eef_velocity
434
+ shape:
435
+ - 2
436
+ dtype: int32
437
+ eef_velocity_action:
438
+ names:
439
+ - left_eef_velocity
440
+ - right_eef_velocity
441
+ shape:
442
+ - 2
443
+ dtype: int32
444
+ eef_acc_mag_state:
445
+ names:
446
+ - left_eef_acc_mag
447
+ - right_eef_acc_mag
448
+ shape:
449
+ - 2
450
+ dtype: int32
451
+ eef_acc_mag_action:
452
+ names:
453
+ - left_eef_acc_mag
454
+ - right_eef_acc_mag
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
+ shape:
463
+ - 2
464
+ dtype: float32
465
+ gripper_open_scale_action:
466
+ names:
467
+ - left_gripper_open_scale
468
+ - right_gripper_open_scale
469
+ shape:
470
+ - 2
471
+ dtype: float32
472
+ gripper_mode_state:
473
+ names:
474
+ - left_gripper_mode
475
+ - right_gripper_mode
476
+ shape:
477
+ - 2
478
+ dtype: int32
479
+ gripper_mode_action:
480
+ names:
481
+ - left_gripper_mode
482
+ - right_gripper_mode
483
+ shape:
484
+ - 2
485
+ dtype: int32
486
+ gripper_activity_state:
487
+ names:
488
+ - left_gripper_activity
489
+ - right_gripper_activity
490
+ shape:
491
+ - 2
492
+ dtype: int32
493
+ gripper_activity_action:
494
+ names:
495
+ - left_gripper_activity
496
+ - right_gripper_activity
497
+ shape:
498
+ - 2
499
+ dtype: int32
500
+ authors:
501
+ contributed_by:
502
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
503
+ dataset_description: This dataset uses an extended format based on LeRobot and is
504
+ fully compatible with LeRobot.
505
+ homepage: https://flagopen.github.io/RoboCOIN/
506
+ paper: https://arxiv.org/abs/2511.17441
507
+ repository: https://github.com/FlagOpen/RoboCOIN
508
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
509
+ us.
510
+ support_info: For technical support, please open an issue on our GitHub repository.
511
+ license_details: apache-2.0
512
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
513
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
514
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
515
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
516
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
517
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
518
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
519
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
520
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
521
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
522
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
523
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
524
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
525
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
526
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
527
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
528
+ additional_citations: 'If you use this dataset, please also consider citing:
529
+
530
+ LeRobot Framework: https://github.com/huggingface/lerobot
531
+
532
+ '
533
+ version_info: Initial Release
534
+ data_path: data/chunk-{id}/episode_{id}.parquet
535
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
536
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_red_yellow_large_test_tube.yaml ADDED
@@ -0,0 +1,528 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_red_yellow_large_test_tube
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office&workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_pigment
41
+ level1: materials
42
+ level2: yellow_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: red_pigment
47
+ level1: materials
48
+ level2: red_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: large_test_tubes
59
+ level1: laboratory_supplies
60
+ level2: large_test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - pick up the test tube with yellow pigment and the test tube with red pigment by
74
+ grippers and pour them into the beaker.
75
+ sub_tasks:
76
+ - subtask: Pour the red reagent into the graduated cylinder and place the test tube
77
+ into the paper cup
78
+ subtask_index: 0
79
+ - subtask: Grasp the red reagent with the left gripper
80
+ subtask_index: 1
81
+ - subtask: Grasp the yellow reagent with the right gripper
82
+ subtask_index: 2
83
+ - subtask: Pour the yellow reagent into the graduated cylinder and place the test
84
+ tube into the paper cup
85
+ subtask_index: 3
86
+ - subtask: Pour the yellow reagent into the graduated cylinder with the right gripper
87
+ subtask_index: 4
88
+ - subtask: Pour the red reagent into the graduated cylinder with the left gripper
89
+ subtask_index: 5
90
+ - subtask: End
91
+ subtask_index: 6
92
+ - subtask: Place the test tube into the paper cup with the right gripper
93
+ subtask_index: 7
94
+ - subtask: Place the test tube into the paper cup with the left gripper
95
+ subtask_index: 8
96
+ - subtask: 'null'
97
+ subtask_index: 9
98
+ atomic_actions:
99
+ - grasp
100
+ - pick
101
+ - place
102
+ - pour
103
+ robot_name:
104
+ - Galaxea_R1_Lite
105
+ end_effector_type: two_finger_gripper
106
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
107
+ type information.
108
+ sensor_list:
109
+ - cam_head_left_rgb
110
+ - cam_head_right_rgb
111
+ - cam_left_wrist_rgb
112
+ - cam_right_wrist_rgb
113
+ came_info:
114
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
115
+ pix_fmt=yuv420p
116
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
117
+ pix_fmt=yuv420p
118
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
119
+ pix_fmt=yuv420p
120
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
121
+ pix_fmt=yuv420p
122
+ depth_enabled: false
123
+ coordinate_definition: right-hand-frame
124
+ joint_rotation_dim: radian
125
+ end_rotation_dim: end_rotation_dim
126
+ end_translation_dim: end_translation_dim
127
+ annotations:
128
+ - eef_acc_mag_annotation.jsonl
129
+ - eef_direction_annotation.jsonl
130
+ - eef_velocity_annotation.jsonl
131
+ - gripper_activity_annotation.jsonl
132
+ - gripper_mode_annotation.jsonl
133
+ - scene_annotations.jsonl
134
+ - subtask_annotations.jsonl
135
+ statistics:
136
+ total_episodes: 50
137
+ total_frames: 28289
138
+ fps: 30
139
+ total_tasks: 10
140
+ total_videos: 200
141
+ total_chunks: 1
142
+ chunks_size: 1000
143
+ state_dim: 14
144
+ action_dim: 14
145
+ camera_views: 4
146
+ dataset_size: 1.58 GB
147
+ frame_num: 28289
148
+ dataset_size: 1.58 GB
149
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_mix_red_yellow_large_test_tube_qced_hardlink/
150
+
151
+ |-- annotations
152
+
153
+ | |-- eef_acc_mag_annotation.jsonl
154
+
155
+ | |-- eef_direction_annotation.jsonl
156
+
157
+ | |-- eef_velocity_annotation.jsonl
158
+
159
+ | |-- gripper_activity_annotation.jsonl
160
+
161
+ | |-- gripper_mode_annotation.jsonl
162
+
163
+ | |-- scene_annotations.jsonl
164
+
165
+ | `-- subtask_annotations.jsonl
166
+
167
+ |-- data
168
+
169
+ | `-- chunk-000
170
+
171
+ | |-- episode_000000.parquet
172
+
173
+ | |-- episode_000001.parquet
174
+
175
+ | |-- episode_000002.parquet
176
+
177
+ | |-- episode_000003.parquet
178
+
179
+ | |-- episode_000004.parquet
180
+
181
+ | |-- episode_000005.parquet
182
+
183
+ | |-- episode_000006.parquet
184
+
185
+ | |-- episode_000007.parquet
186
+
187
+ | |-- episode_000008.parquet
188
+
189
+ | |-- episode_000009.parquet
190
+
191
+ | |-- episode_000010.parquet
192
+
193
+ | `-- episode_000011.parquet
194
+
195
+ | `-- ... (38 more entries)
196
+
197
+ |-- meta
198
+
199
+ | |-- episodes.jsonl
200
+
201
+ | |-- episodes_stats.jsonl
202
+
203
+ | |-- info.json
204
+
205
+ | `-- tasks.jsonl
206
+
207
+ |-- videos
208
+
209
+ | `-- chunk-000
210
+
211
+ | |-- observation.images.cam_head_left_rgb
212
+
213
+ | |-- observation.images.cam_head_right_rgb
214
+
215
+ | |-- observation.images.cam_left_wrist_rgb
216
+
217
+ | `-- observation.images.cam_right_wrist_rgb
218
+
219
+ |-- info.yaml
220
+
221
+ `-- README.md'
222
+ splits:
223
+ train: 0:49
224
+ features:
225
+ observation.images.cam_head_left_rgb:
226
+ dtype: video
227
+ shape:
228
+ - 720
229
+ - 1280
230
+ - 3
231
+ names:
232
+ - height
233
+ - width
234
+ - channels
235
+ info:
236
+ video.height: 720
237
+ video.width: 1280
238
+ video.codec: av1
239
+ video.pix_fmt: yuv420p
240
+ video.is_depth_map: false
241
+ video.fps: 30
242
+ video.channels: 3
243
+ has_audio: false
244
+ observation.images.cam_head_right_rgb:
245
+ dtype: video
246
+ shape:
247
+ - 720
248
+ - 1280
249
+ - 3
250
+ names:
251
+ - height
252
+ - width
253
+ - channels
254
+ info:
255
+ video.height: 720
256
+ video.width: 1280
257
+ video.codec: av1
258
+ video.pix_fmt: yuv420p
259
+ video.is_depth_map: false
260
+ video.fps: 30
261
+ video.channels: 3
262
+ has_audio: false
263
+ observation.images.cam_left_wrist_rgb:
264
+ dtype: video
265
+ shape:
266
+ - 360
267
+ - 640
268
+ - 3
269
+ names:
270
+ - height
271
+ - width
272
+ - channels
273
+ info:
274
+ video.height: 360
275
+ video.width: 640
276
+ video.codec: av1
277
+ video.pix_fmt: yuv420p
278
+ video.is_depth_map: false
279
+ video.fps: 30
280
+ video.channels: 3
281
+ has_audio: false
282
+ observation.images.cam_right_wrist_rgb:
283
+ dtype: video
284
+ shape:
285
+ - 360
286
+ - 640
287
+ - 3
288
+ names:
289
+ - height
290
+ - width
291
+ - channels
292
+ info:
293
+ video.height: 360
294
+ video.width: 640
295
+ video.codec: av1
296
+ video.pix_fmt: yuv420p
297
+ video.is_depth_map: false
298
+ video.fps: 30
299
+ video.channels: 3
300
+ has_audio: false
301
+ observation.state:
302
+ dtype: float32
303
+ shape:
304
+ - 14
305
+ names:
306
+ - left_arm_joint_1_rad
307
+ - left_arm_joint_2_rad
308
+ - left_arm_joint_3_rad
309
+ - left_arm_joint_4_rad
310
+ - left_arm_joint_5_rad
311
+ - left_arm_joint_6_rad
312
+ - right_arm_joint_1_rad
313
+ - right_arm_joint_2_rad
314
+ - right_arm_joint_3_rad
315
+ - right_arm_joint_4_rad
316
+ - right_arm_joint_5_rad
317
+ - right_arm_joint_6_rad
318
+ - left_gripper_open
319
+ - right_gripper_open
320
+ action:
321
+ dtype: float32
322
+ shape:
323
+ - 14
324
+ names:
325
+ - left_arm_joint_1_rad
326
+ - left_arm_joint_2_rad
327
+ - left_arm_joint_3_rad
328
+ - left_arm_joint_4_rad
329
+ - left_arm_joint_5_rad
330
+ - left_arm_joint_6_rad
331
+ - right_arm_joint_1_rad
332
+ - right_arm_joint_2_rad
333
+ - right_arm_joint_3_rad
334
+ - right_arm_joint_4_rad
335
+ - right_arm_joint_5_rad
336
+ - right_arm_joint_6_rad
337
+ - left_gripper_open
338
+ - right_gripper_open
339
+ timestamp:
340
+ dtype: float32
341
+ shape:
342
+ - 1
343
+ names: null
344
+ frame_index:
345
+ dtype: int64
346
+ shape:
347
+ - 1
348
+ names: null
349
+ episode_index:
350
+ dtype: int64
351
+ shape:
352
+ - 1
353
+ names: null
354
+ index:
355
+ dtype: int64
356
+ shape:
357
+ - 1
358
+ names: null
359
+ task_index:
360
+ dtype: int64
361
+ shape:
362
+ - 1
363
+ names: null
364
+ subtask_annotation:
365
+ names: null
366
+ shape:
367
+ - 5
368
+ dtype: int32
369
+ scene_annotation:
370
+ names: null
371
+ shape:
372
+ - 1
373
+ dtype: int32
374
+ eef_sim_pose_state:
375
+ names:
376
+ - left_eef_pos_x
377
+ - left_eef_pos_y
378
+ - left_eef_pos_z
379
+ - left_eef_rot_x
380
+ - left_eef_rot_y
381
+ - left_eef_rot_z
382
+ - right_eef_pos_x
383
+ - right_eef_pos_y
384
+ - right_eef_pos_z
385
+ - right_eef_rot_x
386
+ - right_eef_rot_y
387
+ - right_eef_rot_z
388
+ shape:
389
+ - 12
390
+ dtype: float32
391
+ eef_sim_pose_action:
392
+ names:
393
+ - left_eef_pos_x
394
+ - left_eef_pos_y
395
+ - left_eef_pos_z
396
+ - left_eef_rot_x
397
+ - left_eef_rot_y
398
+ - left_eef_rot_z
399
+ - right_eef_pos_x
400
+ - right_eef_pos_y
401
+ - right_eef_pos_z
402
+ - right_eef_rot_x
403
+ - right_eef_rot_y
404
+ - right_eef_rot_z
405
+ shape:
406
+ - 12
407
+ dtype: float32
408
+ eef_direction_state:
409
+ names:
410
+ - left_eef_direction
411
+ - right_eef_direction
412
+ shape:
413
+ - 2
414
+ dtype: int32
415
+ eef_direction_action:
416
+ names:
417
+ - left_eef_direction
418
+ - right_eef_direction
419
+ shape:
420
+ - 2
421
+ dtype: int32
422
+ eef_velocity_state:
423
+ names:
424
+ - left_eef_velocity
425
+ - right_eef_velocity
426
+ shape:
427
+ - 2
428
+ dtype: int32
429
+ eef_velocity_action:
430
+ names:
431
+ - left_eef_velocity
432
+ - right_eef_velocity
433
+ shape:
434
+ - 2
435
+ dtype: int32
436
+ eef_acc_mag_state:
437
+ names:
438
+ - left_eef_acc_mag
439
+ - right_eef_acc_mag
440
+ shape:
441
+ - 2
442
+ dtype: int32
443
+ eef_acc_mag_action:
444
+ names:
445
+ - left_eef_acc_mag
446
+ - right_eef_acc_mag
447
+ shape:
448
+ - 2
449
+ dtype: int32
450
+ gripper_open_scale_state:
451
+ names:
452
+ - left_gripper_open_scale
453
+ - right_gripper_open_scale
454
+ shape:
455
+ - 2
456
+ dtype: float32
457
+ gripper_open_scale_action:
458
+ names:
459
+ - left_gripper_open_scale
460
+ - right_gripper_open_scale
461
+ shape:
462
+ - 2
463
+ dtype: float32
464
+ gripper_mode_state:
465
+ names:
466
+ - left_gripper_mode
467
+ - right_gripper_mode
468
+ shape:
469
+ - 2
470
+ dtype: int32
471
+ gripper_mode_action:
472
+ names:
473
+ - left_gripper_mode
474
+ - right_gripper_mode
475
+ shape:
476
+ - 2
477
+ dtype: int32
478
+ gripper_activity_state:
479
+ names:
480
+ - left_gripper_activity
481
+ - right_gripper_activity
482
+ shape:
483
+ - 2
484
+ dtype: int32
485
+ gripper_activity_action:
486
+ names:
487
+ - left_gripper_activity
488
+ - right_gripper_activity
489
+ shape:
490
+ - 2
491
+ dtype: int32
492
+ authors:
493
+ contributed_by:
494
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
495
+ dataset_description: This dataset uses an extended format based on LeRobot and is
496
+ fully compatible with LeRobot.
497
+ homepage: https://flagopen.github.io/RoboCOIN/
498
+ paper: https://arxiv.org/abs/2511.17441
499
+ repository: https://github.com/FlagOpen/RoboCOIN
500
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
501
+ us.
502
+ support_info: For technical support, please open an issue on our GitHub repository.
503
+ license_details: apache-2.0
504
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
505
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
506
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
507
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
508
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
509
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
510
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
511
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
512
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
513
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
514
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
515
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
516
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
517
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
518
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
519
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
520
+ additional_citations: 'If you use this dataset, please also consider citing:
521
+
522
+ LeRobot Framework: https://github.com/huggingface/lerobot
523
+
524
+ '
525
+ version_info: Initial Release
526
+ data_path: data/chunk-{id}/episode_{id}.parquet
527
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
528
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_red_yellow_left_large_test_tube.yaml ADDED
@@ -0,0 +1,520 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_red_yellow_left_large_test_tube
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_pigment
41
+ level1: materials
42
+ level2: yellow_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: red_pigment
47
+ level1: materials
48
+ level2: red_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: large_test_tubes
59
+ level1: laboratory_supplies
60
+ level2: large_test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - pick up the test tube with yellow pigment and the test tube with red pigment by
74
+ grippers and pour them into the beaker.
75
+ sub_tasks:
76
+ - subtask: Grasp the red reagent with the left gripper
77
+ subtask_index: 0
78
+ - subtask: Pour the red reagent into the graduated cylinder with the left gripper
79
+ subtask_index: 1
80
+ - subtask: End
81
+ subtask_index: 2
82
+ - subtask: Place the test tube into the pink bowl with the left gripper
83
+ subtask_index: 3
84
+ - subtask: Grasp the yellow reagent with the left gripper
85
+ subtask_index: 4
86
+ - subtask: Pour the yellow reagent into the graduated cylinder with the left gripper
87
+ subtask_index: 5
88
+ - subtask: 'null'
89
+ subtask_index: 6
90
+ atomic_actions:
91
+ - grasp
92
+ - pick
93
+ - place
94
+ - pour
95
+ robot_name:
96
+ - Galaxea_R1_Lite
97
+ end_effector_type: two_finger_gripper
98
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
99
+ type information.
100
+ sensor_list:
101
+ - cam_head_left_rgb
102
+ - cam_head_right_rgb
103
+ - cam_left_wrist_rgb
104
+ - cam_right_wrist_rgb
105
+ came_info:
106
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
107
+ pix_fmt=yuv420p
108
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
109
+ pix_fmt=yuv420p
110
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
111
+ pix_fmt=yuv420p
112
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
113
+ pix_fmt=yuv420p
114
+ depth_enabled: false
115
+ coordinate_definition: right-hand-frame
116
+ joint_rotation_dim: radian
117
+ end_rotation_dim: end_rotation_dim
118
+ end_translation_dim: end_translation_dim
119
+ annotations:
120
+ - eef_acc_mag_annotation.jsonl
121
+ - eef_direction_annotation.jsonl
122
+ - eef_velocity_annotation.jsonl
123
+ - gripper_activity_annotation.jsonl
124
+ - gripper_mode_annotation.jsonl
125
+ - scene_annotations.jsonl
126
+ - subtask_annotations.jsonl
127
+ statistics:
128
+ total_episodes: 100
129
+ total_frames: 89688
130
+ fps: 30
131
+ total_tasks: 7
132
+ total_videos: 400
133
+ total_chunks: 1
134
+ chunks_size: 1000
135
+ state_dim: 14
136
+ action_dim: 14
137
+ camera_views: 4
138
+ dataset_size: 2.93 GB
139
+ frame_num: 89688
140
+ dataset_size: 2.93 GB
141
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_mix_red_yellow_left_large_test_tube_qced_hardlink/
142
+
143
+ |-- annotations
144
+
145
+ | |-- eef_acc_mag_annotation.jsonl
146
+
147
+ | |-- eef_direction_annotation.jsonl
148
+
149
+ | |-- eef_velocity_annotation.jsonl
150
+
151
+ | |-- gripper_activity_annotation.jsonl
152
+
153
+ | |-- gripper_mode_annotation.jsonl
154
+
155
+ | |-- scene_annotations.jsonl
156
+
157
+ | `-- subtask_annotations.jsonl
158
+
159
+ |-- data
160
+
161
+ | `-- chunk-000
162
+
163
+ | |-- episode_000000.parquet
164
+
165
+ | |-- episode_000001.parquet
166
+
167
+ | |-- episode_000002.parquet
168
+
169
+ | |-- episode_000003.parquet
170
+
171
+ | |-- episode_000004.parquet
172
+
173
+ | |-- episode_000005.parquet
174
+
175
+ | |-- episode_000006.parquet
176
+
177
+ | |-- episode_000007.parquet
178
+
179
+ | |-- episode_000008.parquet
180
+
181
+ | |-- episode_000009.parquet
182
+
183
+ | |-- episode_000010.parquet
184
+
185
+ | `-- episode_000011.parquet
186
+
187
+ | `-- ... (88 more entries)
188
+
189
+ |-- meta
190
+
191
+ | |-- episodes.jsonl
192
+
193
+ | |-- episodes_stats.jsonl
194
+
195
+ | |-- info.json
196
+
197
+ | `-- tasks.jsonl
198
+
199
+ |-- videos
200
+
201
+ | `-- chunk-000
202
+
203
+ | |-- observation.images.cam_head_left_rgb
204
+
205
+ | |-- observation.images.cam_head_right_rgb
206
+
207
+ | |-- observation.images.cam_left_wrist_rgb
208
+
209
+ | `-- observation.images.cam_right_wrist_rgb
210
+
211
+ |-- info.yaml
212
+
213
+ `-- README.md'
214
+ splits:
215
+ train: 0:99
216
+ features:
217
+ observation.images.cam_head_left_rgb:
218
+ dtype: video
219
+ shape:
220
+ - 720
221
+ - 1280
222
+ - 3
223
+ names:
224
+ - height
225
+ - width
226
+ - channels
227
+ info:
228
+ video.height: 720
229
+ video.width: 1280
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_head_right_rgb:
237
+ dtype: video
238
+ shape:
239
+ - 720
240
+ - 1280
241
+ - 3
242
+ names:
243
+ - height
244
+ - width
245
+ - channels
246
+ info:
247
+ video.height: 720
248
+ video.width: 1280
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_left_wrist_rgb:
256
+ dtype: video
257
+ shape:
258
+ - 720
259
+ - 1280
260
+ - 3
261
+ names:
262
+ - height
263
+ - width
264
+ - channels
265
+ info:
266
+ video.height: 720
267
+ video.width: 1280
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.images.cam_right_wrist_rgb:
275
+ dtype: video
276
+ shape:
277
+ - 720
278
+ - 1280
279
+ - 3
280
+ names:
281
+ - height
282
+ - width
283
+ - channels
284
+ info:
285
+ video.height: 720
286
+ video.width: 1280
287
+ video.codec: av1
288
+ video.pix_fmt: yuv420p
289
+ video.is_depth_map: false
290
+ video.fps: 30
291
+ video.channels: 3
292
+ has_audio: false
293
+ observation.state:
294
+ dtype: float32
295
+ shape:
296
+ - 14
297
+ names:
298
+ - left_arm_joint_1_rad
299
+ - left_arm_joint_2_rad
300
+ - left_arm_joint_3_rad
301
+ - left_arm_joint_4_rad
302
+ - left_arm_joint_5_rad
303
+ - left_arm_joint_6_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
+ - left_gripper_open
311
+ - right_gripper_open
312
+ action:
313
+ dtype: float32
314
+ shape:
315
+ - 14
316
+ names:
317
+ - left_arm_joint_1_rad
318
+ - left_arm_joint_2_rad
319
+ - left_arm_joint_3_rad
320
+ - left_arm_joint_4_rad
321
+ - left_arm_joint_5_rad
322
+ - left_arm_joint_6_rad
323
+ - right_arm_joint_1_rad
324
+ - right_arm_joint_2_rad
325
+ - right_arm_joint_3_rad
326
+ - right_arm_joint_4_rad
327
+ - right_arm_joint_5_rad
328
+ - right_arm_joint_6_rad
329
+ - left_gripper_open
330
+ - right_gripper_open
331
+ timestamp:
332
+ dtype: float32
333
+ shape:
334
+ - 1
335
+ names: null
336
+ frame_index:
337
+ dtype: int64
338
+ shape:
339
+ - 1
340
+ names: null
341
+ episode_index:
342
+ dtype: int64
343
+ shape:
344
+ - 1
345
+ names: null
346
+ index:
347
+ dtype: int64
348
+ shape:
349
+ - 1
350
+ names: null
351
+ task_index:
352
+ dtype: int64
353
+ shape:
354
+ - 1
355
+ names: null
356
+ subtask_annotation:
357
+ names: null
358
+ shape:
359
+ - 5
360
+ dtype: int32
361
+ scene_annotation:
362
+ names: null
363
+ shape:
364
+ - 1
365
+ dtype: int32
366
+ eef_sim_pose_state:
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
+ shape:
381
+ - 12
382
+ dtype: float32
383
+ eef_sim_pose_action:
384
+ names:
385
+ - left_eef_pos_x
386
+ - left_eef_pos_y
387
+ - left_eef_pos_z
388
+ - left_eef_rot_x
389
+ - left_eef_rot_y
390
+ - left_eef_rot_z
391
+ - right_eef_pos_x
392
+ - right_eef_pos_y
393
+ - right_eef_pos_z
394
+ - right_eef_rot_x
395
+ - right_eef_rot_y
396
+ - right_eef_rot_z
397
+ shape:
398
+ - 12
399
+ dtype: float32
400
+ eef_direction_state:
401
+ names:
402
+ - left_eef_direction
403
+ - right_eef_direction
404
+ shape:
405
+ - 2
406
+ dtype: int32
407
+ eef_direction_action:
408
+ names:
409
+ - left_eef_direction
410
+ - right_eef_direction
411
+ shape:
412
+ - 2
413
+ dtype: int32
414
+ eef_velocity_state:
415
+ names:
416
+ - left_eef_velocity
417
+ - right_eef_velocity
418
+ shape:
419
+ - 2
420
+ dtype: int32
421
+ eef_velocity_action:
422
+ names:
423
+ - left_eef_velocity
424
+ - right_eef_velocity
425
+ shape:
426
+ - 2
427
+ dtype: int32
428
+ eef_acc_mag_state:
429
+ names:
430
+ - left_eef_acc_mag
431
+ - right_eef_acc_mag
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ eef_acc_mag_action:
436
+ names:
437
+ - left_eef_acc_mag
438
+ - right_eef_acc_mag
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ gripper_open_scale_state:
443
+ names:
444
+ - left_gripper_open_scale
445
+ - right_gripper_open_scale
446
+ shape:
447
+ - 2
448
+ dtype: float32
449
+ gripper_open_scale_action:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ shape:
454
+ - 2
455
+ dtype: float32
456
+ gripper_mode_state:
457
+ names:
458
+ - left_gripper_mode
459
+ - right_gripper_mode
460
+ shape:
461
+ - 2
462
+ dtype: int32
463
+ gripper_mode_action:
464
+ names:
465
+ - left_gripper_mode
466
+ - right_gripper_mode
467
+ shape:
468
+ - 2
469
+ dtype: int32
470
+ gripper_activity_state:
471
+ names:
472
+ - left_gripper_activity
473
+ - right_gripper_activity
474
+ shape:
475
+ - 2
476
+ dtype: int32
477
+ gripper_activity_action:
478
+ names:
479
+ - left_gripper_activity
480
+ - right_gripper_activity
481
+ shape:
482
+ - 2
483
+ dtype: int32
484
+ authors:
485
+ contributed_by:
486
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
487
+ dataset_description: This dataset uses an extended format based on LeRobot and is
488
+ fully compatible with LeRobot.
489
+ homepage: https://flagopen.github.io/RoboCOIN/
490
+ paper: https://arxiv.org/abs/2511.17441
491
+ repository: https://github.com/FlagOpen/RoboCOIN
492
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
493
+ us.
494
+ support_info: For technical support, please open an issue on our GitHub repository.
495
+ license_details: apache-2.0
496
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
497
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
498
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
499
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
500
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
501
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
502
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
503
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
504
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
505
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
506
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
507
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
508
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
509
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
510
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
511
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
512
+ additional_citations: 'If you use this dataset, please also consider citing:
513
+
514
+ LeRobot Framework: https://github.com/huggingface/lerobot
515
+
516
+ '
517
+ version_info: Initial Release
518
+ data_path: data/chunk-{id}/episode_{id}.parquet
519
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
520
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_mix_red_yellow_right.yaml ADDED
@@ -0,0 +1,534 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_mix_red_yellow_right
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: blue_pigment
35
+ level1: materials
36
+ level2: blue_pigment
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: yellow_pigment
41
+ level1: materials
42
+ level2: yellow_pigment
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: red_pigment
47
+ level1: materials
48
+ level2: red_pigment
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: test_tube_rack
53
+ level1: holding_utensils
54
+ level2: test_tube_rack
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: test_tubes
59
+ level1: laboratory_supplies
60
+ level2: test_tubes
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: beaker
65
+ level1: holding_utensils
66
+ level2: beaker
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
71
+ the operation type information.
72
+ task_instruction:
73
+ - pick up the test tube with yellow pigment and the test tube with red pigment by
74
+ grippers and pour them into the beaker.
75
+ sub_tasks:
76
+ - subtask: Place the test tube into the bowl with right gripper
77
+ subtask_index: 0
78
+ - subtask: Pick up the test tube containing the yellow reagent with right gripper
79
+ subtask_index: 1
80
+ - subtask: Place the test tube into the pink bowl with the right gripper
81
+ subtask_index: 2
82
+ - subtask: Grasp the yellow reagent with the right gripper
83
+ subtask_index: 3
84
+ - subtask: Grasp the red reagent with the right gripper
85
+ subtask_index: 4
86
+ - subtask: Pick up the test tube containing the red reagent with right gripper
87
+ subtask_index: 5
88
+ - subtask: Place the test tube into the bowl with the right gripper
89
+ subtask_index: 6
90
+ - subtask: Pour the yellow reagent into the graduated cylinder with the right gripper
91
+ subtask_index: 7
92
+ - subtask: Pour the red reagent into the graduated cylinder with right gripper
93
+ subtask_index: 8
94
+ - subtask: End
95
+ subtask_index: 9
96
+ - subtask: Pour the yellow reagent into the graduated cylinder with right gripper
97
+ subtask_index: 10
98
+ - subtask: Pour the red reagent into the graduated cylinder with the right gripper
99
+ subtask_index: 11
100
+ - subtask: end
101
+ subtask_index: 12
102
+ - subtask: 'null'
103
+ subtask_index: 13
104
+ atomic_actions:
105
+ - grasp
106
+ - pick
107
+ - place
108
+ - pour
109
+ robot_name:
110
+ - Galaxea_R1_Lite
111
+ end_effector_type: two_finger_gripper
112
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
113
+ type information.
114
+ sensor_list:
115
+ - cam_head_left_rgb
116
+ - cam_head_right_rgb
117
+ - cam_left_wrist_rgb
118
+ - cam_right_wrist_rgb
119
+ came_info:
120
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
121
+ pix_fmt=yuv420p
122
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
123
+ pix_fmt=yuv420p
124
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
125
+ pix_fmt=yuv420p
126
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
127
+ pix_fmt=yuv420p
128
+ depth_enabled: false
129
+ coordinate_definition: right-hand-frame
130
+ joint_rotation_dim: radian
131
+ end_rotation_dim: end_rotation_dim
132
+ end_translation_dim: end_translation_dim
133
+ annotations:
134
+ - eef_acc_mag_annotation.jsonl
135
+ - eef_direction_annotation.jsonl
136
+ - eef_velocity_annotation.jsonl
137
+ - gripper_activity_annotation.jsonl
138
+ - gripper_mode_annotation.jsonl
139
+ - scene_annotations.jsonl
140
+ - subtask_annotations.jsonl
141
+ statistics:
142
+ total_episodes: 99
143
+ total_frames: 61864
144
+ fps: 30
145
+ total_tasks: 14
146
+ total_videos: 396
147
+ total_chunks: 1
148
+ chunks_size: 1000
149
+ state_dim: 14
150
+ action_dim: 14
151
+ camera_views: 4
152
+ dataset_size: 1.22 GB
153
+ frame_num: 61864
154
+ dataset_size: 1.22 GB
155
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_mix_red_yellow_right_qced_hardlink/
156
+
157
+ |-- annotations
158
+
159
+ | |-- eef_acc_mag_annotation.jsonl
160
+
161
+ | |-- eef_direction_annotation.jsonl
162
+
163
+ | |-- eef_velocity_annotation.jsonl
164
+
165
+ | |-- gripper_activity_annotation.jsonl
166
+
167
+ | |-- gripper_mode_annotation.jsonl
168
+
169
+ | |-- scene_annotations.jsonl
170
+
171
+ | `-- subtask_annotations.jsonl
172
+
173
+ |-- data
174
+
175
+ | `-- chunk-000
176
+
177
+ | |-- episode_000000.parquet
178
+
179
+ | |-- episode_000001.parquet
180
+
181
+ | |-- episode_000002.parquet
182
+
183
+ | |-- episode_000003.parquet
184
+
185
+ | |-- episode_000004.parquet
186
+
187
+ | |-- episode_000005.parquet
188
+
189
+ | |-- episode_000006.parquet
190
+
191
+ | |-- episode_000007.parquet
192
+
193
+ | |-- episode_000008.parquet
194
+
195
+ | |-- episode_000009.parquet
196
+
197
+ | |-- episode_000010.parquet
198
+
199
+ | `-- episode_000011.parquet
200
+
201
+ | `-- ... (87 more entries)
202
+
203
+ |-- meta
204
+
205
+ | |-- episodes.jsonl
206
+
207
+ | |-- episodes_stats.jsonl
208
+
209
+ | |-- info.json
210
+
211
+ | `-- tasks.jsonl
212
+
213
+ |-- videos
214
+
215
+ | `-- chunk-000
216
+
217
+ | |-- observation.images.cam_head_left_rgb
218
+
219
+ | |-- observation.images.cam_head_right_rgb
220
+
221
+ | |-- observation.images.cam_left_wrist_rgb
222
+
223
+ | `-- observation.images.cam_right_wrist_rgb
224
+
225
+ |-- info.yaml
226
+
227
+ `-- README.md'
228
+ splits:
229
+ train: 0:98
230
+ features:
231
+ observation.images.cam_head_left_rgb:
232
+ dtype: video
233
+ shape:
234
+ - 720
235
+ - 1280
236
+ - 3
237
+ names:
238
+ - height
239
+ - width
240
+ - channels
241
+ info:
242
+ video.height: 720
243
+ video.width: 1280
244
+ video.codec: av1
245
+ video.pix_fmt: yuv420p
246
+ video.is_depth_map: false
247
+ video.fps: 30
248
+ video.channels: 3
249
+ has_audio: false
250
+ observation.images.cam_head_right_rgb:
251
+ dtype: video
252
+ shape:
253
+ - 720
254
+ - 1280
255
+ - 3
256
+ names:
257
+ - height
258
+ - width
259
+ - channels
260
+ info:
261
+ video.height: 720
262
+ video.width: 1280
263
+ video.codec: av1
264
+ video.pix_fmt: yuv420p
265
+ video.is_depth_map: false
266
+ video.fps: 30
267
+ video.channels: 3
268
+ has_audio: false
269
+ observation.images.cam_left_wrist_rgb:
270
+ dtype: video
271
+ shape:
272
+ - 360
273
+ - 640
274
+ - 3
275
+ names:
276
+ - height
277
+ - width
278
+ - channels
279
+ info:
280
+ video.height: 360
281
+ video.width: 640
282
+ video.codec: av1
283
+ video.pix_fmt: yuv420p
284
+ video.is_depth_map: false
285
+ video.fps: 30
286
+ video.channels: 3
287
+ has_audio: false
288
+ observation.images.cam_right_wrist_rgb:
289
+ dtype: video
290
+ shape:
291
+ - 360
292
+ - 640
293
+ - 3
294
+ names:
295
+ - height
296
+ - width
297
+ - channels
298
+ info:
299
+ video.height: 360
300
+ video.width: 640
301
+ video.codec: av1
302
+ video.pix_fmt: yuv420p
303
+ video.is_depth_map: false
304
+ video.fps: 30
305
+ video.channels: 3
306
+ has_audio: false
307
+ observation.state:
308
+ dtype: float32
309
+ shape:
310
+ - 14
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
+ - right_arm_joint_1_rad
319
+ - right_arm_joint_2_rad
320
+ - right_arm_joint_3_rad
321
+ - right_arm_joint_4_rad
322
+ - right_arm_joint_5_rad
323
+ - right_arm_joint_6_rad
324
+ - left_gripper_open
325
+ - right_gripper_open
326
+ action:
327
+ dtype: float32
328
+ shape:
329
+ - 14
330
+ names:
331
+ - left_arm_joint_1_rad
332
+ - left_arm_joint_2_rad
333
+ - left_arm_joint_3_rad
334
+ - left_arm_joint_4_rad
335
+ - left_arm_joint_5_rad
336
+ - left_arm_joint_6_rad
337
+ - right_arm_joint_1_rad
338
+ - right_arm_joint_2_rad
339
+ - right_arm_joint_3_rad
340
+ - right_arm_joint_4_rad
341
+ - right_arm_joint_5_rad
342
+ - right_arm_joint_6_rad
343
+ - left_gripper_open
344
+ - right_gripper_open
345
+ timestamp:
346
+ dtype: float32
347
+ shape:
348
+ - 1
349
+ names: null
350
+ frame_index:
351
+ dtype: int64
352
+ shape:
353
+ - 1
354
+ names: null
355
+ episode_index:
356
+ dtype: int64
357
+ shape:
358
+ - 1
359
+ names: null
360
+ index:
361
+ dtype: int64
362
+ shape:
363
+ - 1
364
+ names: null
365
+ task_index:
366
+ dtype: int64
367
+ shape:
368
+ - 1
369
+ names: null
370
+ subtask_annotation:
371
+ names: null
372
+ shape:
373
+ - 5
374
+ dtype: int32
375
+ scene_annotation:
376
+ names: null
377
+ shape:
378
+ - 1
379
+ dtype: int32
380
+ eef_sim_pose_state:
381
+ names:
382
+ - left_eef_pos_x
383
+ - left_eef_pos_y
384
+ - left_eef_pos_z
385
+ - left_eef_rot_x
386
+ - left_eef_rot_y
387
+ - left_eef_rot_z
388
+ - right_eef_pos_x
389
+ - right_eef_pos_y
390
+ - right_eef_pos_z
391
+ - right_eef_rot_x
392
+ - right_eef_rot_y
393
+ - right_eef_rot_z
394
+ shape:
395
+ - 12
396
+ dtype: float32
397
+ eef_sim_pose_action:
398
+ names:
399
+ - left_eef_pos_x
400
+ - left_eef_pos_y
401
+ - left_eef_pos_z
402
+ - left_eef_rot_x
403
+ - left_eef_rot_y
404
+ - left_eef_rot_z
405
+ - right_eef_pos_x
406
+ - right_eef_pos_y
407
+ - right_eef_pos_z
408
+ - right_eef_rot_x
409
+ - right_eef_rot_y
410
+ - right_eef_rot_z
411
+ shape:
412
+ - 12
413
+ dtype: float32
414
+ eef_direction_state:
415
+ names:
416
+ - left_eef_direction
417
+ - right_eef_direction
418
+ shape:
419
+ - 2
420
+ dtype: int32
421
+ eef_direction_action:
422
+ names:
423
+ - left_eef_direction
424
+ - right_eef_direction
425
+ shape:
426
+ - 2
427
+ dtype: int32
428
+ eef_velocity_state:
429
+ names:
430
+ - left_eef_velocity
431
+ - right_eef_velocity
432
+ shape:
433
+ - 2
434
+ dtype: int32
435
+ eef_velocity_action:
436
+ names:
437
+ - left_eef_velocity
438
+ - right_eef_velocity
439
+ shape:
440
+ - 2
441
+ dtype: int32
442
+ eef_acc_mag_state:
443
+ names:
444
+ - left_eef_acc_mag
445
+ - right_eef_acc_mag
446
+ shape:
447
+ - 2
448
+ dtype: int32
449
+ eef_acc_mag_action:
450
+ names:
451
+ - left_eef_acc_mag
452
+ - right_eef_acc_mag
453
+ shape:
454
+ - 2
455
+ dtype: int32
456
+ gripper_open_scale_state:
457
+ names:
458
+ - left_gripper_open_scale
459
+ - right_gripper_open_scale
460
+ shape:
461
+ - 2
462
+ dtype: float32
463
+ gripper_open_scale_action:
464
+ names:
465
+ - left_gripper_open_scale
466
+ - right_gripper_open_scale
467
+ shape:
468
+ - 2
469
+ dtype: float32
470
+ gripper_mode_state:
471
+ names:
472
+ - left_gripper_mode
473
+ - right_gripper_mode
474
+ shape:
475
+ - 2
476
+ dtype: int32
477
+ gripper_mode_action:
478
+ names:
479
+ - left_gripper_mode
480
+ - right_gripper_mode
481
+ shape:
482
+ - 2
483
+ dtype: int32
484
+ gripper_activity_state:
485
+ names:
486
+ - left_gripper_activity
487
+ - right_gripper_activity
488
+ shape:
489
+ - 2
490
+ dtype: int32
491
+ gripper_activity_action:
492
+ names:
493
+ - left_gripper_activity
494
+ - right_gripper_activity
495
+ shape:
496
+ - 2
497
+ dtype: int32
498
+ authors:
499
+ contributed_by:
500
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
501
+ dataset_description: This dataset uses an extended format based on LeRobot and is
502
+ fully compatible with LeRobot.
503
+ homepage: https://flagopen.github.io/RoboCOIN/
504
+ paper: https://arxiv.org/abs/2511.17441
505
+ repository: https://github.com/FlagOpen/RoboCOIN
506
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
507
+ us.
508
+ support_info: For technical support, please open an issue on our GitHub repository.
509
+ license_details: apache-2.0
510
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
511
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
512
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
513
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
514
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
515
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
516
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
517
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
518
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
519
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
520
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
521
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
522
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
523
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
524
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
525
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
526
+ additional_citations: 'If you use this dataset, please also consider citing:
527
+
528
+ LeRobot Framework: https://github.com/huggingface/lerobot
529
+
530
+ '
531
+ version_info: Initial Release
532
+ data_path: data/chunk-{id}/episode_{id}.parquet
533
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
534
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_move_mouse.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: Galaxea_R1_Lite_move_mouse
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: office_workspace
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: mouse
35
+ level1: computer_peripherals
36
+ level2: mouse
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: mouse_pad
41
+ level1: computer_peripherals
42
+ level2: mouse_pad
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
47
+ the operation type information.
48
+ task_instruction:
49
+ - use the left gripper to place the mouse on the left side of the table onto the mouse
50
+ pad on the right side.
51
+ sub_tasks:
52
+ - subtask: Grasp the mouse with the left gripper
53
+ subtask_index: 0
54
+ - subtask: Place the mouse on the mouse pad with the left gripper
55
+ subtask_index: 1
56
+ - subtask: End
57
+ subtask_index: 2
58
+ - subtask: 'null'
59
+ subtask_index: 3
60
+ atomic_actions:
61
+ - grasp
62
+ - pick
63
+ - place
64
+ robot_name:
65
+ - Galaxea_R1_Lite
66
+ end_effector_type: two_finger_gripper
67
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
68
+ type information.
69
+ sensor_list:
70
+ - cam_head_left_rgb
71
+ - cam_head_right_rgb
72
+ - cam_left_wrist_rgb
73
+ - cam_right_wrist_rgb
74
+ came_info:
75
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
76
+ pix_fmt=yuv420p
77
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
78
+ pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
82
+ pix_fmt=yuv420p
83
+ depth_enabled: false
84
+ coordinate_definition: right-hand-frame
85
+ joint_rotation_dim: radian
86
+ end_rotation_dim: end_rotation_dim
87
+ end_translation_dim: end_translation_dim
88
+ annotations:
89
+ - eef_acc_mag_annotation.jsonl
90
+ - eef_direction_annotation.jsonl
91
+ - eef_velocity_annotation.jsonl
92
+ - gripper_activity_annotation.jsonl
93
+ - gripper_mode_annotation.jsonl
94
+ - scene_annotations.jsonl
95
+ - subtask_annotations.jsonl
96
+ statistics:
97
+ total_episodes: 30
98
+ total_frames: 8927
99
+ fps: 30
100
+ total_tasks: 4
101
+ total_videos: 120
102
+ total_chunks: 1
103
+ chunks_size: 1000
104
+ state_dim: 14
105
+ action_dim: 14
106
+ camera_views: 4
107
+ dataset_size: 219.01 MB
108
+ frame_num: 8927
109
+ dataset_size: 219.01 MB
110
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_move_mouse_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
+ | `-- ... (18 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_left_rgb
173
+
174
+ | |-- observation.images.cam_head_right_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_left_rgb:
187
+ dtype: video
188
+ shape:
189
+ - 720
190
+ - 1280
191
+ - 3
192
+ names:
193
+ - height
194
+ - width
195
+ - channels
196
+ info:
197
+ video.height: 720
198
+ video.width: 1280
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_head_right_rgb:
206
+ dtype: video
207
+ shape:
208
+ - 720
209
+ - 1280
210
+ - 3
211
+ names:
212
+ - height
213
+ - width
214
+ - channels
215
+ info:
216
+ video.height: 720
217
+ video.width: 1280
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_left_wrist_rgb:
225
+ dtype: video
226
+ shape:
227
+ - 360
228
+ - 640
229
+ - 3
230
+ names:
231
+ - height
232
+ - width
233
+ - channels
234
+ info:
235
+ video.height: 360
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.images.cam_right_wrist_rgb:
244
+ dtype: video
245
+ shape:
246
+ - 360
247
+ - 640
248
+ - 3
249
+ names:
250
+ - height
251
+ - width
252
+ - channels
253
+ info:
254
+ video.height: 360
255
+ video.width: 640
256
+ video.codec: av1
257
+ video.pix_fmt: yuv420p
258
+ video.is_depth_map: false
259
+ video.fps: 30
260
+ video.channels: 3
261
+ has_audio: false
262
+ observation.state:
263
+ dtype: float32
264
+ shape:
265
+ - 14
266
+ names:
267
+ - left_arm_joint_1_rad
268
+ - left_arm_joint_2_rad
269
+ - left_arm_joint_3_rad
270
+ - left_arm_joint_4_rad
271
+ - left_arm_joint_5_rad
272
+ - left_arm_joint_6_rad
273
+ - right_arm_joint_1_rad
274
+ - right_arm_joint_2_rad
275
+ - right_arm_joint_3_rad
276
+ - right_arm_joint_4_rad
277
+ - right_arm_joint_5_rad
278
+ - right_arm_joint_6_rad
279
+ - left_gripper_open
280
+ - right_gripper_open
281
+ action:
282
+ dtype: float32
283
+ shape:
284
+ - 14
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
+ - 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
+ - left_gripper_open
299
+ - right_gripper_open
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
+ shape:
328
+ - 5
329
+ dtype: int32
330
+ scene_annotation:
331
+ names: null
332
+ shape:
333
+ - 1
334
+ dtype: int32
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
+ shape:
350
+ - 12
351
+ dtype: float32
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
+ shape:
367
+ - 12
368
+ dtype: float32
369
+ eef_direction_state:
370
+ names:
371
+ - left_eef_direction
372
+ - right_eef_direction
373
+ shape:
374
+ - 2
375
+ dtype: int32
376
+ eef_direction_action:
377
+ names:
378
+ - left_eef_direction
379
+ - right_eef_direction
380
+ shape:
381
+ - 2
382
+ dtype: int32
383
+ eef_velocity_state:
384
+ names:
385
+ - left_eef_velocity
386
+ - right_eef_velocity
387
+ shape:
388
+ - 2
389
+ dtype: int32
390
+ eef_velocity_action:
391
+ names:
392
+ - left_eef_velocity
393
+ - right_eef_velocity
394
+ shape:
395
+ - 2
396
+ dtype: int32
397
+ eef_acc_mag_state:
398
+ names:
399
+ - left_eef_acc_mag
400
+ - right_eef_acc_mag
401
+ shape:
402
+ - 2
403
+ dtype: int32
404
+ eef_acc_mag_action:
405
+ names:
406
+ - left_eef_acc_mag
407
+ - right_eef_acc_mag
408
+ shape:
409
+ - 2
410
+ dtype: int32
411
+ gripper_open_scale_state:
412
+ names:
413
+ - left_gripper_open_scale
414
+ - right_gripper_open_scale
415
+ shape:
416
+ - 2
417
+ dtype: float32
418
+ gripper_open_scale_action:
419
+ names:
420
+ - left_gripper_open_scale
421
+ - right_gripper_open_scale
422
+ shape:
423
+ - 2
424
+ dtype: float32
425
+ gripper_mode_state:
426
+ names:
427
+ - left_gripper_mode
428
+ - right_gripper_mode
429
+ shape:
430
+ - 2
431
+ dtype: int32
432
+ gripper_mode_action:
433
+ names:
434
+ - left_gripper_mode
435
+ - right_gripper_mode
436
+ shape:
437
+ - 2
438
+ dtype: int32
439
+ gripper_activity_state:
440
+ names:
441
+ - left_gripper_activity
442
+ - right_gripper_activity
443
+ shape:
444
+ - 2
445
+ dtype: int32
446
+ gripper_activity_action:
447
+ names:
448
+ - left_gripper_activity
449
+ - right_gripper_activity
450
+ shape:
451
+ - 2
452
+ dtype: int32
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_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_pour_solid_marble_bar_counter.yaml ADDED
@@ -0,0 +1,533 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_pour_solid_marble_bar_counter
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: househhold
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: marble_bar_counter
35
+ level1: furniture
36
+ level2: marble_bar_counter
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: plastic_cup
41
+ level1: cups
42
+ level2: plastic_cup
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: green_dish
47
+ level1: plates
48
+ level2: green_dish
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: pink_bowl
53
+ level1: plastic_bowls
54
+ level2: pink_bowl
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: solid
59
+ level1: materials
60
+ level2: solid
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
65
+ the operation type information.
66
+ task_instruction:
67
+ - use a gripper to pick up the cup and pour the solid into a bowl or tray.
68
+ sub_tasks:
69
+ - subtask: Abnormal
70
+ subtask_index: 0
71
+ - subtask: Grasp the glass of shrimp with the left gripper
72
+ subtask_index: 1
73
+ - subtask: Pour the shrimp beans into the green bowl with the left gripper
74
+ subtask_index: 2
75
+ - subtask: Pour the shrimp beans into the green bowl with the right gripper
76
+ subtask_index: 3
77
+ - subtask: Grasp the glass of coffee beans with the right gripper
78
+ subtask_index: 4
79
+ - subtask: Grasp the glass of coffee beans with the left gripper
80
+ subtask_index: 5
81
+ - subtask: Place the glass cup with the right gripper
82
+ subtask_index: 6
83
+ - subtask: Pour the shrimp into the pink bowl with the left gripper
84
+ subtask_index: 7
85
+ - subtask: End
86
+ subtask_index: 8
87
+ - subtask: Pour the coffee beans into the green bowl with the right gripper
88
+ subtask_index: 9
89
+ - subtask: Pour the coffee beans into the pink bowl with the left gripper
90
+ subtask_index: 10
91
+ - subtask: Pour the shrimp into the pink bowl with the right gripper
92
+ subtask_index: 11
93
+ - subtask: Pour the coffee beans into the pink bowl with the right gripper
94
+ subtask_index: 12
95
+ - subtask: Grasp the glass of shrimp with the right gripper
96
+ subtask_index: 13
97
+ - subtask: Place the glass cup with the left gripper
98
+ subtask_index: 14
99
+ - subtask: Pour the coffee beans into the green bowl with the left gripper
100
+ subtask_index: 15
101
+ - subtask: 'null'
102
+ subtask_index: 16
103
+ atomic_actions:
104
+ - grasp
105
+ - pick
106
+ - place
107
+ - pour
108
+ robot_name:
109
+ - Galaxea_R1_Lite
110
+ end_effector_type: two_finger_gripper
111
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
112
+ type information.
113
+ sensor_list:
114
+ - cam_head_left_rgb
115
+ - cam_head_right_rgb
116
+ - cam_left_wrist_rgb
117
+ - cam_right_wrist_rgb
118
+ came_info:
119
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
120
+ pix_fmt=yuv420p
121
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
122
+ pix_fmt=yuv420p
123
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
124
+ pix_fmt=yuv420p
125
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
126
+ pix_fmt=yuv420p
127
+ depth_enabled: false
128
+ coordinate_definition: right-hand-frame
129
+ joint_rotation_dim: radian
130
+ end_rotation_dim: end_rotation_dim
131
+ end_translation_dim: end_translation_dim
132
+ annotations:
133
+ - eef_acc_mag_annotation.jsonl
134
+ - eef_direction_annotation.jsonl
135
+ - eef_velocity_annotation.jsonl
136
+ - gripper_activity_annotation.jsonl
137
+ - gripper_mode_annotation.jsonl
138
+ - scene_annotations.jsonl
139
+ - subtask_annotations.jsonl
140
+ statistics:
141
+ total_episodes: 85
142
+ total_frames: 31250
143
+ fps: 30
144
+ total_tasks: 17
145
+ total_videos: 340
146
+ total_chunks: 1
147
+ chunks_size: 1000
148
+ state_dim: 14
149
+ action_dim: 14
150
+ camera_views: 4
151
+ dataset_size: 1.29 GB
152
+ frame_num: 31250
153
+ dataset_size: 1.29 GB
154
+ data_structure: 'Galaxea_R1_Lite_pour_solid_marble_bar_counter_qced_hardlink/
155
+
156
+ |-- annotations
157
+
158
+ | |-- eef_acc_mag_annotation.jsonl
159
+
160
+ | |-- eef_direction_annotation.jsonl
161
+
162
+ | |-- eef_velocity_annotation.jsonl
163
+
164
+ | |-- gripper_activity_annotation.jsonl
165
+
166
+ | |-- gripper_mode_annotation.jsonl
167
+
168
+ | |-- scene_annotations.jsonl
169
+
170
+ | `-- subtask_annotations.jsonl
171
+
172
+ |-- data
173
+
174
+ | `-- chunk-000
175
+
176
+ | |-- episode_000000.parquet
177
+
178
+ | |-- episode_000001.parquet
179
+
180
+ | |-- episode_000002.parquet
181
+
182
+ | |-- episode_000003.parquet
183
+
184
+ | |-- episode_000004.parquet
185
+
186
+ | |-- episode_000005.parquet
187
+
188
+ | |-- episode_000006.parquet
189
+
190
+ | |-- episode_000007.parquet
191
+
192
+ | |-- episode_000008.parquet
193
+
194
+ | |-- episode_000009.parquet
195
+
196
+ | |-- episode_000010.parquet
197
+
198
+ | `-- episode_000011.parquet
199
+
200
+ | `-- ... (73 more entries)
201
+
202
+ |-- meta
203
+
204
+ | |-- episodes.jsonl
205
+
206
+ | |-- episodes_stats.jsonl
207
+
208
+ | |-- info.json
209
+
210
+ | `-- tasks.jsonl
211
+
212
+ |-- videos
213
+
214
+ | `-- chunk-000
215
+
216
+ | |-- observation.images.cam_head_left_rgb
217
+
218
+ | |-- observation.images.cam_head_right_rgb
219
+
220
+ | |-- observation.images.cam_left_wrist_rgb
221
+
222
+ | `-- observation.images.cam_right_wrist_rgb
223
+
224
+ |-- info.yaml
225
+
226
+ `-- README.md'
227
+ splits:
228
+ train: 0:84
229
+ features:
230
+ observation.images.cam_head_left_rgb:
231
+ dtype: video
232
+ shape:
233
+ - 720
234
+ - 1280
235
+ - 3
236
+ names:
237
+ - height
238
+ - width
239
+ - channels
240
+ info:
241
+ video.height: 720
242
+ video.width: 1280
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.images.cam_head_right_rgb:
250
+ dtype: video
251
+ shape:
252
+ - 720
253
+ - 1280
254
+ - 3
255
+ names:
256
+ - height
257
+ - width
258
+ - channels
259
+ info:
260
+ video.height: 720
261
+ video.width: 1280
262
+ video.codec: av1
263
+ video.pix_fmt: yuv420p
264
+ video.is_depth_map: false
265
+ video.fps: 30
266
+ video.channels: 3
267
+ has_audio: false
268
+ observation.images.cam_left_wrist_rgb:
269
+ dtype: video
270
+ shape:
271
+ - 360
272
+ - 640
273
+ - 3
274
+ names:
275
+ - height
276
+ - width
277
+ - channels
278
+ info:
279
+ video.height: 360
280
+ video.width: 640
281
+ video.codec: av1
282
+ video.pix_fmt: yuv420p
283
+ video.is_depth_map: false
284
+ video.fps: 30
285
+ video.channels: 3
286
+ has_audio: false
287
+ observation.images.cam_right_wrist_rgb:
288
+ dtype: video
289
+ shape:
290
+ - 360
291
+ - 640
292
+ - 3
293
+ names:
294
+ - height
295
+ - width
296
+ - channels
297
+ info:
298
+ video.height: 360
299
+ video.width: 640
300
+ video.codec: av1
301
+ video.pix_fmt: yuv420p
302
+ video.is_depth_map: false
303
+ video.fps: 30
304
+ video.channels: 3
305
+ has_audio: false
306
+ observation.state:
307
+ dtype: float32
308
+ shape:
309
+ - 14
310
+ names:
311
+ - left_arm_joint_1_rad
312
+ - left_arm_joint_2_rad
313
+ - left_arm_joint_3_rad
314
+ - left_arm_joint_4_rad
315
+ - left_arm_joint_5_rad
316
+ - left_arm_joint_6_rad
317
+ - right_arm_joint_1_rad
318
+ - right_arm_joint_2_rad
319
+ - right_arm_joint_3_rad
320
+ - right_arm_joint_4_rad
321
+ - right_arm_joint_5_rad
322
+ - right_arm_joint_6_rad
323
+ - left_gripper_open
324
+ - right_gripper_open
325
+ action:
326
+ dtype: float32
327
+ shape:
328
+ - 14
329
+ names:
330
+ - left_arm_joint_1_rad
331
+ - left_arm_joint_2_rad
332
+ - left_arm_joint_3_rad
333
+ - left_arm_joint_4_rad
334
+ - left_arm_joint_5_rad
335
+ - left_arm_joint_6_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
+ - left_gripper_open
343
+ - right_gripper_open
344
+ timestamp:
345
+ dtype: float32
346
+ shape:
347
+ - 1
348
+ names: null
349
+ frame_index:
350
+ dtype: int64
351
+ shape:
352
+ - 1
353
+ names: null
354
+ episode_index:
355
+ dtype: int64
356
+ shape:
357
+ - 1
358
+ names: null
359
+ index:
360
+ dtype: int64
361
+ shape:
362
+ - 1
363
+ names: null
364
+ task_index:
365
+ dtype: int64
366
+ shape:
367
+ - 1
368
+ names: null
369
+ subtask_annotation:
370
+ names: null
371
+ shape:
372
+ - 5
373
+ dtype: int32
374
+ scene_annotation:
375
+ names: null
376
+ shape:
377
+ - 1
378
+ dtype: int32
379
+ eef_sim_pose_state:
380
+ names:
381
+ - left_eef_pos_x
382
+ - left_eef_pos_y
383
+ - left_eef_pos_z
384
+ - left_eef_rot_x
385
+ - left_eef_rot_y
386
+ - left_eef_rot_z
387
+ - right_eef_pos_x
388
+ - right_eef_pos_y
389
+ - right_eef_pos_z
390
+ - right_eef_rot_x
391
+ - right_eef_rot_y
392
+ - right_eef_rot_z
393
+ shape:
394
+ - 12
395
+ dtype: float32
396
+ eef_sim_pose_action:
397
+ names:
398
+ - left_eef_pos_x
399
+ - left_eef_pos_y
400
+ - left_eef_pos_z
401
+ - left_eef_rot_x
402
+ - left_eef_rot_y
403
+ - left_eef_rot_z
404
+ - right_eef_pos_x
405
+ - right_eef_pos_y
406
+ - right_eef_pos_z
407
+ - right_eef_rot_x
408
+ - right_eef_rot_y
409
+ - right_eef_rot_z
410
+ shape:
411
+ - 12
412
+ dtype: float32
413
+ eef_direction_state:
414
+ names:
415
+ - left_eef_direction
416
+ - right_eef_direction
417
+ shape:
418
+ - 2
419
+ dtype: int32
420
+ eef_direction_action:
421
+ names:
422
+ - left_eef_direction
423
+ - right_eef_direction
424
+ shape:
425
+ - 2
426
+ dtype: int32
427
+ eef_velocity_state:
428
+ names:
429
+ - left_eef_velocity
430
+ - right_eef_velocity
431
+ shape:
432
+ - 2
433
+ dtype: int32
434
+ eef_velocity_action:
435
+ names:
436
+ - left_eef_velocity
437
+ - right_eef_velocity
438
+ shape:
439
+ - 2
440
+ dtype: int32
441
+ eef_acc_mag_state:
442
+ names:
443
+ - left_eef_acc_mag
444
+ - right_eef_acc_mag
445
+ shape:
446
+ - 2
447
+ dtype: int32
448
+ eef_acc_mag_action:
449
+ names:
450
+ - left_eef_acc_mag
451
+ - right_eef_acc_mag
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
+ shape:
460
+ - 2
461
+ dtype: float32
462
+ gripper_open_scale_action:
463
+ names:
464
+ - left_gripper_open_scale
465
+ - right_gripper_open_scale
466
+ shape:
467
+ - 2
468
+ dtype: float32
469
+ gripper_mode_state:
470
+ names:
471
+ - left_gripper_mode
472
+ - right_gripper_mode
473
+ shape:
474
+ - 2
475
+ dtype: int32
476
+ gripper_mode_action:
477
+ names:
478
+ - left_gripper_mode
479
+ - right_gripper_mode
480
+ shape:
481
+ - 2
482
+ dtype: int32
483
+ gripper_activity_state:
484
+ names:
485
+ - left_gripper_activity
486
+ - right_gripper_activity
487
+ shape:
488
+ - 2
489
+ dtype: int32
490
+ gripper_activity_action:
491
+ names:
492
+ - left_gripper_activity
493
+ - right_gripper_activity
494
+ shape:
495
+ - 2
496
+ dtype: int32
497
+ authors:
498
+ contributed_by:
499
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
500
+ dataset_description: This dataset uses an extended format based on LeRobot and is
501
+ fully compatible with LeRobot.
502
+ homepage: https://flagopen.github.io/RoboCOIN/
503
+ paper: https://arxiv.org/abs/2511.17441
504
+ repository: https://github.com/FlagOpen/RoboCOIN
505
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
506
+ us.
507
+ support_info: For technical support, please open an issue on our GitHub repository.
508
+ license_details: apache-2.0
509
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
510
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
511
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
512
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
513
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
514
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
515
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
516
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
517
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
518
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
519
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
520
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
521
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
522
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
523
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
524
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
525
+ additional_citations: 'If you use this dataset, please also consider citing:
526
+
527
+ LeRobot Framework: https://github.com/huggingface/lerobot
528
+
529
+ '
530
+ version_info: Initial Release
531
+ data_path: data/chunk-{id}/episode_{id}.parquet
532
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
533
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/Galaxea_R1_Lite_toggle_drawer_red.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: Galaxea_R1_Lite_toggle_drawer_red
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: living_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: red_drawer
35
+ level1: storage_utensils
36
+ level2: red_drawer
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
41
+ the operation type information.
42
+ task_instruction:
43
+ - use the gripper to open the drawer and close the red drawer.
44
+ sub_tasks:
45
+ - subtask: Open the red drawer with right gripper
46
+ subtask_index: 0
47
+ - subtask: Open the yellow drawer with left gripper
48
+ subtask_index: 1
49
+ - subtask: Close the red drawer with right gripper
50
+ subtask_index: 2
51
+ - subtask: Close the yellow drawer with left gripper
52
+ subtask_index: 3
53
+ - subtask: Open the red drawer with the right gripper
54
+ subtask_index: 4
55
+ - subtask: End
56
+ subtask_index: 5
57
+ - subtask: Open the red drawer with the left gripper
58
+ subtask_index: 6
59
+ - subtask: Open the red drawer with left gripper
60
+ subtask_index: 7
61
+ - subtask: Right gripper
62
+ subtask_index: 8
63
+ - subtask: Close the red drawer with the left gripper
64
+ subtask_index: 9
65
+ - subtask: Close the red drawer with the right gripper
66
+ subtask_index: 10
67
+ - subtask: Close the red drawer with left gripper
68
+ subtask_index: 11
69
+ - subtask: Left gripper
70
+ subtask_index: 12
71
+ - subtask: 'null'
72
+ subtask_index: 13
73
+ atomic_actions:
74
+ - grasp
75
+ - push
76
+ - pull
77
+ robot_name:
78
+ - Galaxea_R1_Lite
79
+ end_effector_type: two_finger_gripper
80
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
81
+ type information.
82
+ sensor_list:
83
+ - cam_head_left_rgb
84
+ - cam_head_right_rgb
85
+ - cam_left_wrist_rgb
86
+ - cam_right_wrist_rgb
87
+ came_info:
88
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
89
+ pix_fmt=yuv420p
90
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
91
+ pix_fmt=yuv420p
92
+ cam_left_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
93
+ pix_fmt=yuv420p
94
+ cam_right_wrist_rgb: dtype=video, shape=360x640x3, resolution=640x360, codec=av1,
95
+ pix_fmt=yuv420p
96
+ depth_enabled: false
97
+ coordinate_definition: right-hand-frame
98
+ joint_rotation_dim: radian
99
+ end_rotation_dim: end_rotation_dim
100
+ end_translation_dim: end_translation_dim
101
+ annotations:
102
+ - eef_acc_mag_annotation.jsonl
103
+ - eef_direction_annotation.jsonl
104
+ - eef_velocity_annotation.jsonl
105
+ - gripper_activity_annotation.jsonl
106
+ - gripper_mode_annotation.jsonl
107
+ - scene_annotations.jsonl
108
+ - subtask_annotations.jsonl
109
+ statistics:
110
+ total_episodes: 100
111
+ total_frames: 41856
112
+ fps: 30
113
+ total_tasks: 14
114
+ total_videos: 400
115
+ total_chunks: 1
116
+ chunks_size: 1000
117
+ state_dim: 14
118
+ action_dim: 14
119
+ camera_views: 4
120
+ dataset_size: 1.80 GB
121
+ frame_num: 41856
122
+ dataset_size: 1.80 GB
123
+ data_structure: 'Galaxea_R1_Lite_Galaxea_R1_Lite_toggle_drawer_red_qced_hardlink/
124
+
125
+ |-- annotations
126
+
127
+ | |-- eef_acc_mag_annotation.jsonl
128
+
129
+ | |-- eef_direction_annotation.jsonl
130
+
131
+ | |-- eef_velocity_annotation.jsonl
132
+
133
+ | |-- gripper_activity_annotation.jsonl
134
+
135
+ | |-- gripper_mode_annotation.jsonl
136
+
137
+ | |-- scene_annotations.jsonl
138
+
139
+ | `-- subtask_annotations.jsonl
140
+
141
+ |-- data
142
+
143
+ | `-- chunk-000
144
+
145
+ | |-- episode_000000.parquet
146
+
147
+ | |-- episode_000001.parquet
148
+
149
+ | |-- episode_000002.parquet
150
+
151
+ | |-- episode_000003.parquet
152
+
153
+ | |-- episode_000004.parquet
154
+
155
+ | |-- episode_000005.parquet
156
+
157
+ | |-- episode_000006.parquet
158
+
159
+ | |-- episode_000007.parquet
160
+
161
+ | |-- episode_000008.parquet
162
+
163
+ | |-- episode_000009.parquet
164
+
165
+ | |-- episode_000010.parquet
166
+
167
+ | `-- episode_000011.parquet
168
+
169
+ | `-- ... (88 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_left_rgb
186
+
187
+ | |-- observation.images.cam_head_right_rgb
188
+
189
+ | |-- observation.images.cam_left_wrist_rgb
190
+
191
+ | `-- observation.images.cam_right_wrist_rgb
192
+
193
+ |-- info.yaml
194
+
195
+ `-- README.md'
196
+ splits:
197
+ train: 0:99
198
+ features:
199
+ observation.images.cam_head_left_rgb:
200
+ dtype: video
201
+ shape:
202
+ - 720
203
+ - 1280
204
+ - 3
205
+ names:
206
+ - height
207
+ - width
208
+ - channels
209
+ info:
210
+ video.height: 720
211
+ video.width: 1280
212
+ video.codec: av1
213
+ video.pix_fmt: yuv420p
214
+ video.is_depth_map: false
215
+ video.fps: 30
216
+ video.channels: 3
217
+ has_audio: false
218
+ observation.images.cam_head_right_rgb:
219
+ dtype: video
220
+ shape:
221
+ - 720
222
+ - 1280
223
+ - 3
224
+ names:
225
+ - height
226
+ - width
227
+ - channels
228
+ info:
229
+ video.height: 720
230
+ video.width: 1280
231
+ video.codec: av1
232
+ video.pix_fmt: yuv420p
233
+ video.is_depth_map: false
234
+ video.fps: 30
235
+ video.channels: 3
236
+ has_audio: false
237
+ observation.images.cam_left_wrist_rgb:
238
+ dtype: video
239
+ shape:
240
+ - 360
241
+ - 640
242
+ - 3
243
+ names:
244
+ - height
245
+ - width
246
+ - channels
247
+ info:
248
+ video.height: 360
249
+ video.width: 640
250
+ video.codec: av1
251
+ video.pix_fmt: yuv420p
252
+ video.is_depth_map: false
253
+ video.fps: 30
254
+ video.channels: 3
255
+ has_audio: false
256
+ observation.images.cam_right_wrist_rgb:
257
+ dtype: video
258
+ shape:
259
+ - 360
260
+ - 640
261
+ - 3
262
+ names:
263
+ - height
264
+ - width
265
+ - channels
266
+ info:
267
+ video.height: 360
268
+ video.width: 640
269
+ video.codec: av1
270
+ video.pix_fmt: yuv420p
271
+ video.is_depth_map: false
272
+ video.fps: 30
273
+ video.channels: 3
274
+ has_audio: false
275
+ observation.state:
276
+ dtype: float32
277
+ shape:
278
+ - 14
279
+ names:
280
+ - left_arm_joint_1_rad
281
+ - left_arm_joint_2_rad
282
+ - left_arm_joint_3_rad
283
+ - left_arm_joint_4_rad
284
+ - left_arm_joint_5_rad
285
+ - left_arm_joint_6_rad
286
+ - right_arm_joint_1_rad
287
+ - right_arm_joint_2_rad
288
+ - right_arm_joint_3_rad
289
+ - right_arm_joint_4_rad
290
+ - right_arm_joint_5_rad
291
+ - right_arm_joint_6_rad
292
+ - left_gripper_open
293
+ - right_gripper_open
294
+ action:
295
+ dtype: float32
296
+ shape:
297
+ - 14
298
+ names:
299
+ - left_arm_joint_1_rad
300
+ - left_arm_joint_2_rad
301
+ - left_arm_joint_3_rad
302
+ - left_arm_joint_4_rad
303
+ - left_arm_joint_5_rad
304
+ - left_arm_joint_6_rad
305
+ - right_arm_joint_1_rad
306
+ - right_arm_joint_2_rad
307
+ - right_arm_joint_3_rad
308
+ - right_arm_joint_4_rad
309
+ - right_arm_joint_5_rad
310
+ - right_arm_joint_6_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
+ shape:
341
+ - 5
342
+ dtype: int32
343
+ scene_annotation:
344
+ names: null
345
+ shape:
346
+ - 1
347
+ dtype: int32
348
+ eef_sim_pose_state:
349
+ names:
350
+ - left_eef_pos_x
351
+ - left_eef_pos_y
352
+ - left_eef_pos_z
353
+ - left_eef_rot_x
354
+ - left_eef_rot_y
355
+ - left_eef_rot_z
356
+ - right_eef_pos_x
357
+ - right_eef_pos_y
358
+ - right_eef_pos_z
359
+ - right_eef_rot_x
360
+ - right_eef_rot_y
361
+ - right_eef_rot_z
362
+ shape:
363
+ - 12
364
+ dtype: float32
365
+ eef_sim_pose_action:
366
+ names:
367
+ - left_eef_pos_x
368
+ - left_eef_pos_y
369
+ - left_eef_pos_z
370
+ - left_eef_rot_x
371
+ - left_eef_rot_y
372
+ - left_eef_rot_z
373
+ - right_eef_pos_x
374
+ - right_eef_pos_y
375
+ - right_eef_pos_z
376
+ - right_eef_rot_x
377
+ - right_eef_rot_y
378
+ - right_eef_rot_z
379
+ shape:
380
+ - 12
381
+ dtype: float32
382
+ eef_direction_state:
383
+ names:
384
+ - left_eef_direction
385
+ - right_eef_direction
386
+ shape:
387
+ - 2
388
+ dtype: int32
389
+ eef_direction_action:
390
+ names:
391
+ - left_eef_direction
392
+ - right_eef_direction
393
+ shape:
394
+ - 2
395
+ dtype: int32
396
+ eef_velocity_state:
397
+ names:
398
+ - left_eef_velocity
399
+ - right_eef_velocity
400
+ shape:
401
+ - 2
402
+ dtype: int32
403
+ eef_velocity_action:
404
+ names:
405
+ - left_eef_velocity
406
+ - right_eef_velocity
407
+ shape:
408
+ - 2
409
+ dtype: int32
410
+ eef_acc_mag_state:
411
+ names:
412
+ - left_eef_acc_mag
413
+ - right_eef_acc_mag
414
+ shape:
415
+ - 2
416
+ dtype: int32
417
+ eef_acc_mag_action:
418
+ names:
419
+ - left_eef_acc_mag
420
+ - right_eef_acc_mag
421
+ shape:
422
+ - 2
423
+ dtype: int32
424
+ gripper_open_scale_state:
425
+ names:
426
+ - left_gripper_open_scale
427
+ - right_gripper_open_scale
428
+ shape:
429
+ - 2
430
+ dtype: float32
431
+ gripper_open_scale_action:
432
+ names:
433
+ - left_gripper_open_scale
434
+ - right_gripper_open_scale
435
+ shape:
436
+ - 2
437
+ dtype: float32
438
+ gripper_mode_state:
439
+ names:
440
+ - left_gripper_mode
441
+ - right_gripper_mode
442
+ shape:
443
+ - 2
444
+ dtype: int32
445
+ gripper_mode_action:
446
+ names:
447
+ - left_gripper_mode
448
+ - right_gripper_mode
449
+ shape:
450
+ - 2
451
+ dtype: int32
452
+ gripper_activity_state:
453
+ names:
454
+ - left_gripper_activity
455
+ - right_gripper_activity
456
+ shape:
457
+ - 2
458
+ dtype: int32
459
+ gripper_activity_action:
460
+ names:
461
+ - left_gripper_activity
462
+ - right_gripper_activity
463
+ shape:
464
+ - 2
465
+ dtype: int32
466
+ authors:
467
+ contributed_by:
468
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
469
+ dataset_description: This dataset uses an extended format based on LeRobot and is
470
+ fully compatible with LeRobot.
471
+ homepage: https://flagopen.github.io/RoboCOIN/
472
+ paper: https://arxiv.org/abs/2511.17441
473
+ repository: https://github.com/FlagOpen/RoboCOIN
474
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
475
+ us.
476
+ support_info: For technical support, please open an issue on our GitHub repository.
477
+ license_details: apache-2.0
478
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
479
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
480
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
481
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
482
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
483
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
484
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
485
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
486
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
487
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
488
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
489
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
490
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
491
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
492
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
493
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
494
+ additional_citations: 'If you use this dataset, please also consider citing:
495
+
496
+ LeRobot Framework: https://github.com/huggingface/lerobot
497
+
498
+ '
499
+ version_info: Initial Release
500
+ data_path: data/chunk-{id}/episode_{id}.parquet
501
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
502
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
dataset_info/agilex_cobot_magic_pass_object_left_to_right_khaki_tablecloth.yaml ADDED
@@ -0,0 +1,674 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: agilex_cobot_magic_pass_object_left_to_right_khaki_tablecloth
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: commercial_convenience
27
+ level2: supermarket
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: ambrosial_yogurt
41
+ level1: food
42
+ level2: ambrosial_yogurt
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: banana
47
+ level1: food
48
+ level2: banana
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: long_bread
53
+ level1: food
54
+ level2: long_bread
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: milk
59
+ level1: food
60
+ level2: milk
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: yogurt
65
+ level1: food
66
+ level2: yogurt
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: grape
71
+ level1: food
72
+ level2: grape
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: ham_sausage
77
+ level1: food
78
+ level2: ham_sausage
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: eggplant
83
+ level1: food
84
+ level2: eggplant
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: chewing_gum
89
+ level1: food
90
+ level2: chewing_gum
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: eyeglass_case
95
+ level1: laboratory_supplies
96
+ level2: eyeglass_case
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: rubik's_cube
101
+ level1: toys
102
+ level2: rubik's_cube
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: purple_trash_bag
107
+ level1: trash
108
+ level2: purple_trash_bag
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: cleanser
113
+ level1: daily_necessities
114
+ level2: cleanser
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: bathing_in_flowers
119
+ level1: daily_necessities
120
+ level2: bathing_in_flowers
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: whiteboard_eraser
125
+ level1: stationery
126
+ level2: whiteboard_eraser
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: candle
131
+ level1: daily_necessities
132
+ level2: candle
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: khaki_table_cloths
137
+ level1: laboratory_supplies
138
+ level2: khaki_table_cloths
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
143
+ the operation type information.
144
+ task_instruction:
145
+ - use the left gripper to pick up the item and transfer it from the left gripper to
146
+ the right gripper.
147
+ sub_tasks:
148
+ - subtask: Pass the purple garbage bag to the right gripper
149
+ subtask_index: 0
150
+ - subtask: Pass the shower sphere to the right gripper
151
+ subtask_index: 1
152
+ - subtask: Place the milk on the table with the right gripper
153
+ subtask_index: 2
154
+ - subtask: Place the XX on the table with the right gripper
155
+ subtask_index: 3
156
+ - subtask: Pass the yogurt to the right gripper
157
+ subtask_index: 4
158
+ - subtask: End
159
+ subtask_index: 5
160
+ - subtask: Pass the milk to the right gripper
161
+ subtask_index: 6
162
+ - subtask: Place the purple garbage bag on the table with the right gripper
163
+ subtask_index: 7
164
+ - subtask: Place the Rubik's Cube on the table with the right gripper
165
+ subtask_index: 8
166
+ - subtask: Grasp the blue blackboard erasure with the left gripper
167
+ subtask_index: 9
168
+ - subtask: Grasp the shower sphere with the left gripper
169
+ subtask_index: 10
170
+ - subtask: Grasp the plush banana with the left gripper
171
+ subtask_index: 11
172
+ - subtask: Grasp the yogurt with the left gripper
173
+ subtask_index: 12
174
+ - subtask: 'Grasp the milk with the left gripper
175
+
176
+ '
177
+ subtask_index: 13
178
+ - subtask: Pass the plush banana to the right gripper
179
+ subtask_index: 14
180
+ - subtask: Place the blue blackboard erasure on the table with the right gripper
181
+ subtask_index: 15
182
+ - subtask: Abnormal
183
+ subtask_index: 16
184
+ - subtask: Grasp the XX with the left gripper
185
+ subtask_index: 17
186
+ - subtask: Grasp the blue blackboard erasure with the left grippe
187
+ subtask_index: 18
188
+ - subtask: Pass the Rubik's Cube to the right gripper
189
+ subtask_index: 19
190
+ - subtask: 'Place the milk on the table with the right gripper
191
+
192
+ '
193
+ subtask_index: 20
194
+ - subtask: 'Pass the long bread to the right gripper
195
+
196
+ '
197
+ subtask_index: 21
198
+ - subtask: '
199
+
200
+ Pass the milk to the right gripper'
201
+ subtask_index: 22
202
+ - subtask: Pass the long bread to the right gripper
203
+ subtask_index: 23
204
+ - subtask: Grasp the milk with the left gripper
205
+ subtask_index: 24
206
+ - subtask: Pass the blue blackboard erasure to the right gripper
207
+ subtask_index: 25
208
+ - subtask: Place the long bread on the table with the right gripper
209
+ subtask_index: 26
210
+ - subtask: Grasp the long bread with the left gripper
211
+ subtask_index: 27
212
+ - subtask: Grasp the Rubik's Cube with the left gripper
213
+ subtask_index: 28
214
+ - subtask: Place the yogurt on the table with the right gripper
215
+ subtask_index: 29
216
+ - subtask: Place the plush banana on the table with the right gripper
217
+ subtask_index: 30
218
+ - subtask: 'Pass the milk to the right gripper
219
+
220
+ '
221
+ subtask_index: 31
222
+ - subtask: Place the grape on the table with the right gripper
223
+ subtask_index: 32
224
+ - subtask: 'Grasp the long bread with the left gripper
225
+
226
+ '
227
+ subtask_index: 33
228
+ - subtask: Pass the milk to the right gripper
229
+ subtask_index: 34
230
+ - subtask: Pass the grape to the right gripper
231
+ subtask_index: 35
232
+ - subtask: Pass the blue garbage bag to the right gripper
233
+ subtask_index: 36
234
+ - subtask: Pass the xx to the right gripper
235
+ subtask_index: 37
236
+ - subtask: Grasp the grape with the left gripper
237
+ subtask_index: 38
238
+ - subtask: Grasp the purple garbage bag with the left gripper
239
+ subtask_index: 39
240
+ - subtask: Place the shower sphere on the table with the right gripper
241
+ subtask_index: 40
242
+ - subtask: 'null'
243
+ subtask_index: 41
244
+ atomic_actions:
245
+ - grasp
246
+ - lift
247
+ - lower
248
+ - handover
249
+ - takeover
250
+ robot_name:
251
+ - agilex_cobot_magic
252
+ end_effector_type: two_finger_gripper
253
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
254
+ type information.
255
+ sensor_list:
256
+ - cam_head_rgb
257
+ - cam_left_wrist_rgb
258
+ - cam_right_wrist_rgb
259
+ came_info:
260
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
261
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
262
+ pix_fmt=yuv420p
263
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
264
+ pix_fmt=yuv420p
265
+ depth_enabled: false
266
+ coordinate_definition: right-hand-frame
267
+ joint_rotation_dim: radian
268
+ end_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: 97
280
+ total_frames: 53653
281
+ fps: 30
282
+ total_tasks: 42
283
+ total_videos: 291
284
+ total_chunks: 1
285
+ chunks_size: 1000
286
+ state_dim: 26
287
+ action_dim: 26
288
+ camera_views: 3
289
+ dataset_size: 636.04 MB
290
+ frame_num: 53653
291
+ dataset_size: 636.04 MB
292
+ data_structure: 'Agilex_Cobot_Magic_pass_object_left_to_right_khaki_tablecloth_qced_hardlink/
293
+
294
+ |-- annotations
295
+
296
+ | |-- eef_acc_mag_annotation.jsonl
297
+
298
+ | |-- eef_direction_annotation.jsonl
299
+
300
+ | |-- eef_velocity_annotation.jsonl
301
+
302
+ | |-- gripper_activity_annotation.jsonl
303
+
304
+ | |-- gripper_mode_annotation.jsonl
305
+
306
+ | |-- scene_annotations.jsonl
307
+
308
+ | `-- subtask_annotations.jsonl
309
+
310
+ |-- data
311
+
312
+ | `-- chunk-000
313
+
314
+ | |-- episode_000000.parquet
315
+
316
+ | |-- episode_000001.parquet
317
+
318
+ | |-- episode_000002.parquet
319
+
320
+ | |-- episode_000003.parquet
321
+
322
+ | |-- episode_000004.parquet
323
+
324
+ | |-- episode_000005.parquet
325
+
326
+ | |-- episode_000006.parquet
327
+
328
+ | |-- episode_000007.parquet
329
+
330
+ | |-- episode_000008.parquet
331
+
332
+ | |-- episode_000009.parquet
333
+
334
+ | |-- episode_000010.parquet
335
+
336
+ | `-- episode_000011.parquet
337
+
338
+ | `-- ... (85 more entries)
339
+
340
+ |-- meta
341
+
342
+ | |-- episodes.jsonl
343
+
344
+ | |-- episodes_stats.jsonl
345
+
346
+ | |-- info.json
347
+
348
+ | `-- tasks.jsonl
349
+
350
+ |-- videos
351
+
352
+ | `-- chunk-000
353
+
354
+ | |-- observation.images.cam_head_rgb
355
+
356
+ | |-- observation.images.cam_left_wrist_rgb
357
+
358
+ | `-- observation.images.cam_right_wrist_rgb
359
+
360
+ |-- info.yaml
361
+
362
+ `-- README.md'
363
+ splits:
364
+ train: 0:96
365
+ features:
366
+ observation.images.cam_head_rgb:
367
+ dtype: video
368
+ shape:
369
+ - 480
370
+ - 640
371
+ - 3
372
+ names:
373
+ - height
374
+ - width
375
+ - channels
376
+ info:
377
+ video.height: 480
378
+ video.width: 640
379
+ video.codec: av1
380
+ video.pix_fmt: yuv420p
381
+ video.is_depth_map: false
382
+ video.fps: 30
383
+ video.channels: 3
384
+ has_audio: false
385
+ observation.images.cam_left_wrist_rgb:
386
+ dtype: video
387
+ shape:
388
+ - 480
389
+ - 640
390
+ - 3
391
+ names:
392
+ - height
393
+ - width
394
+ - channels
395
+ info:
396
+ video.height: 480
397
+ video.width: 640
398
+ video.codec: av1
399
+ video.pix_fmt: yuv420p
400
+ video.is_depth_map: false
401
+ video.fps: 30
402
+ video.channels: 3
403
+ has_audio: false
404
+ observation.images.cam_right_wrist_rgb:
405
+ dtype: video
406
+ shape:
407
+ - 480
408
+ - 640
409
+ - 3
410
+ names:
411
+ - height
412
+ - width
413
+ - channels
414
+ info:
415
+ video.height: 480
416
+ video.width: 640
417
+ video.codec: av1
418
+ video.pix_fmt: yuv420p
419
+ video.is_depth_map: false
420
+ video.fps: 30
421
+ video.channels: 3
422
+ has_audio: false
423
+ observation.state:
424
+ dtype: float32
425
+ shape:
426
+ - 26
427
+ names:
428
+ - left_arm_joint_1_rad
429
+ - left_arm_joint_2_rad
430
+ - left_arm_joint_3_rad
431
+ - left_arm_joint_4_rad
432
+ - left_arm_joint_5_rad
433
+ - left_arm_joint_6_rad
434
+ - left_gripper_open
435
+ - left_eef_pos_x_m
436
+ - left_eef_pos_y_m
437
+ - left_eef_pos_z_m
438
+ - left_eef_rot_euler_x_rad
439
+ - left_eef_rot_euler_y_rad
440
+ - left_eef_rot_euler_z_rad
441
+ - right_arm_joint_1_rad
442
+ - right_arm_joint_2_rad
443
+ - right_arm_joint_3_rad
444
+ - right_arm_joint_4_rad
445
+ - right_arm_joint_5_rad
446
+ - right_arm_joint_6_rad
447
+ - right_gripper_open
448
+ - right_eef_pos_x_m
449
+ - right_eef_pos_y_m
450
+ - right_eef_pos_z_m
451
+ - right_eef_rot_euler_x_rad
452
+ - right_eef_rot_euler_y_rad
453
+ - right_eef_rot_euler_z_rad
454
+ action:
455
+ dtype: float32
456
+ shape:
457
+ - 26
458
+ names:
459
+ - left_arm_joint_1_rad
460
+ - left_arm_joint_2_rad
461
+ - left_arm_joint_3_rad
462
+ - left_arm_joint_4_rad
463
+ - left_arm_joint_5_rad
464
+ - left_arm_joint_6_rad
465
+ - left_gripper_open
466
+ - left_eef_pos_x_m
467
+ - left_eef_pos_y_m
468
+ - left_eef_pos_z_m
469
+ - left_eef_rot_euler_x_rad
470
+ - left_eef_rot_euler_y_rad
471
+ - left_eef_rot_euler_z_rad
472
+ - right_arm_joint_1_rad
473
+ - right_arm_joint_2_rad
474
+ - right_arm_joint_3_rad
475
+ - right_arm_joint_4_rad
476
+ - right_arm_joint_5_rad
477
+ - right_arm_joint_6_rad
478
+ - right_gripper_open
479
+ - right_eef_pos_x_m
480
+ - right_eef_pos_y_m
481
+ - right_eef_pos_z_m
482
+ - right_eef_rot_euler_x_rad
483
+ - right_eef_rot_euler_y_rad
484
+ - right_eef_rot_euler_z_rad
485
+ timestamp:
486
+ dtype: float32
487
+ shape:
488
+ - 1
489
+ names: null
490
+ frame_index:
491
+ dtype: int64
492
+ shape:
493
+ - 1
494
+ names: null
495
+ episode_index:
496
+ dtype: int64
497
+ shape:
498
+ - 1
499
+ names: null
500
+ index:
501
+ dtype: int64
502
+ shape:
503
+ - 1
504
+ names: null
505
+ task_index:
506
+ dtype: int64
507
+ shape:
508
+ - 1
509
+ names: null
510
+ subtask_annotation:
511
+ names: null
512
+ dtype: int32
513
+ shape:
514
+ - 5
515
+ scene_annotation:
516
+ names: null
517
+ dtype: int32
518
+ shape:
519
+ - 1
520
+ eef_sim_pose_state:
521
+ names:
522
+ - left_eef_pos_x
523
+ - left_eef_pos_y
524
+ - left_eef_pos_z
525
+ - left_eef_rot_x
526
+ - left_eef_rot_y
527
+ - left_eef_rot_z
528
+ - right_eef_pos_x
529
+ - right_eef_pos_y
530
+ - right_eef_pos_z
531
+ - right_eef_rot_x
532
+ - right_eef_rot_y
533
+ - right_eef_rot_z
534
+ dtype: float32
535
+ shape:
536
+ - 12
537
+ eef_sim_pose_action:
538
+ names:
539
+ - left_eef_pos_x
540
+ - left_eef_pos_y
541
+ - left_eef_pos_z
542
+ - left_eef_rot_x
543
+ - left_eef_rot_y
544
+ - left_eef_rot_z
545
+ - right_eef_pos_x
546
+ - right_eef_pos_y
547
+ - right_eef_pos_z
548
+ - right_eef_rot_x
549
+ - right_eef_rot_y
550
+ - right_eef_rot_z
551
+ dtype: float32
552
+ shape:
553
+ - 12
554
+ eef_direction_state:
555
+ names:
556
+ - left_eef_direction
557
+ - right_eef_direction
558
+ dtype: int32
559
+ shape:
560
+ - 2
561
+ eef_direction_action:
562
+ names:
563
+ - left_eef_direction
564
+ - right_eef_direction
565
+ dtype: int32
566
+ shape:
567
+ - 2
568
+ eef_velocity_state:
569
+ names:
570
+ - left_eef_velocity
571
+ - right_eef_velocity
572
+ dtype: int32
573
+ shape:
574
+ - 2
575
+ eef_velocity_action:
576
+ names:
577
+ - left_eef_velocity
578
+ - right_eef_velocity
579
+ dtype: int32
580
+ shape:
581
+ - 2
582
+ eef_acc_mag_state:
583
+ names:
584
+ - left_eef_acc_mag
585
+ - right_eef_acc_mag
586
+ dtype: int32
587
+ shape:
588
+ - 2
589
+ eef_acc_mag_action:
590
+ names:
591
+ - left_eef_acc_mag
592
+ - right_eef_acc_mag
593
+ dtype: int32
594
+ shape:
595
+ - 2
596
+ gripper_mode_state:
597
+ names:
598
+ - left_gripper_mode
599
+ - right_gripper_mode
600
+ dtype: int32
601
+ shape:
602
+ - 2
603
+ gripper_mode_action:
604
+ names:
605
+ - left_gripper_mode
606
+ - right_gripper_mode
607
+ dtype: int32
608
+ shape:
609
+ - 2
610
+ gripper_activity_state:
611
+ names:
612
+ - left_gripper_activity
613
+ - right_gripper_activity
614
+ dtype: int32
615
+ shape:
616
+ - 2
617
+ gripper_activity_action:
618
+ names:
619
+ - left_gripper_activity
620
+ - right_gripper_activity
621
+ dtype: int32
622
+ shape:
623
+ - 2
624
+ gripper_open_scale_state:
625
+ names:
626
+ - left_gripper_open_scale
627
+ - right_gripper_open_scale
628
+ dtype: float32
629
+ shape:
630
+ - 2
631
+ gripper_open_scale_action:
632
+ names:
633
+ - left_gripper_open_scale
634
+ - right_gripper_open_scale
635
+ dtype: float32
636
+ shape:
637
+ - 2
638
+ authors:
639
+ contributed_by:
640
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
641
+ dataset_description: This dataset uses an extended format based on LeRobot and is
642
+ fully compatible with LeRobot.
643
+ homepage: https://flagopen.github.io/RoboCOIN/
644
+ paper: https://arxiv.org/abs/2511.17441
645
+ repository: https://github.com/FlagOpen/RoboCOIN
646
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
647
+ us.
648
+ support_info: For technical support, please open an issue on our GitHub repository.
649
+ license_details: apache-2.0
650
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
651
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
652
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
653
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
654
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
655
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
656
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
657
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
658
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
659
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
660
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
661
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
662
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
663
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
664
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
665
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
666
+ additional_citations: 'If you use this dataset, please also consider citing:
667
+
668
+ LeRobot Framework: https://github.com/huggingface/lerobot
669
+
670
+ '
671
+ version_info: Initial Release
672
+ data_path: data/chunk-{id}/episode_{id}.parquet
673
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
674
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/agilex_cobot_magic_pass_object_right_to_left_black_tablecloth.yaml ADDED
@@ -0,0 +1,650 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: agilex_cobot_magic_pass_object_right_to_left_black_tablecloth
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: commercial_convenience
27
+ level2: supermarket
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: ambrosial_yogurt
41
+ level1: food
42
+ level2: ambrosial_yogurt
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: banana
47
+ level1: food
48
+ level2: banana
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: long_bread
53
+ level1: food
54
+ level2: long_bread
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: milk
59
+ level1: food
60
+ level2: milk
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: yogurt
65
+ level1: food
66
+ level2: yogurt
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: grape
71
+ level1: food
72
+ level2: grape
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: ham_sausage
77
+ level1: food
78
+ level2: ham_sausage
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: eggplant
83
+ level1: food
84
+ level2: eggplant
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: chewing_gum
89
+ level1: food
90
+ level2: chewing_gum
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: eyeglass_case
95
+ level1: laboratory_supplies
96
+ level2: eyeglass_case
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: rubik's_cube
101
+ level1: toys
102
+ level2: rubik's_cube
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: purple_trash_bag
107
+ level1: trash
108
+ level2: purple_trash_bag
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: cleanser
113
+ level1: daily_necessities
114
+ level2: cleanser
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: bathing_in_flowers
119
+ level1: daily_necessities
120
+ level2: bathing_in_flowers
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: whiteboard_eraser
125
+ level1: stationery
126
+ level2: whiteboard_eraser
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: candle
131
+ level1: daily_necessities
132
+ level2: candle
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: black_table_cloths
137
+ level1: laboratory_supplies
138
+ level2: black_table_cloths
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
143
+ the operation type information.
144
+ task_instruction:
145
+ - use the right gripper to pick up the item and transfer it from the right gripper
146
+ to the left gripper.
147
+ sub_tasks:
148
+ - subtask: The left gripper places milk on the left side of the table
149
+ subtask_index: 0
150
+ - subtask: The left gripper places bread on the left side of the table
151
+ subtask_index: 1
152
+ - subtask: Pass the bread to the left gripper
153
+ subtask_index: 2
154
+ - subtask: Pass the shower sphere to the left gripper
155
+ subtask_index: 3
156
+ - subtask: Use the right gripper to grab the bread on the right side of the table
157
+ subtask_index: 4
158
+ - subtask: Use the right gripper to grab the grape on the right side of the table
159
+ subtask_index: 5
160
+ - subtask: End
161
+ subtask_index: 6
162
+ - subtask: Use the right gripper to grab the banana on the right side of the table
163
+ subtask_index: 7
164
+ - subtask: Pass the purple garbage bag to the left gripper
165
+ subtask_index: 8
166
+ - subtask: Pass the Rubik's Cube to the left gripper
167
+ subtask_index: 9
168
+ - subtask: The left gripper places yogurt on the left side of the table
169
+ subtask_index: 10
170
+ - subtask: The left gripper places shower sphere on the left side of the table
171
+ subtask_index: 11
172
+ - subtask: Use the right gripper to grab the shower sphere on the right side of the
173
+ table
174
+ subtask_index: 12
175
+ - subtask: Use the right gripper to grab the grapes on the right side of the table
176
+ subtask_index: 13
177
+ - subtask: Pass the yogurt to the left gripper
178
+ subtask_index: 14
179
+ - subtask: The left gripper places grape on the left side of the table
180
+ subtask_index: 15
181
+ - subtask: The left gripper places grapes on the left side of the table
182
+ subtask_index: 16
183
+ - subtask: Use the right gripper to grab the milk on the right side of the table
184
+ subtask_index: 17
185
+ - subtask: Pass the milk to the left gripper
186
+ subtask_index: 18
187
+ - subtask: The left gripper places banana on the left side of the table
188
+ subtask_index: 19
189
+ - subtask: Use the right gripper to grab the eyeglass case on the right side of the
190
+ table
191
+ subtask_index: 20
192
+ - subtask: Pass the banana to the left gripper
193
+ subtask_index: 21
194
+ - subtask: Pass the grapes to the left gripper
195
+ subtask_index: 22
196
+ - subtask: Use the right gripper to grab the purple garbage bag on the right side
197
+ of the table
198
+ subtask_index: 23
199
+ - subtask: Pass the grape to the left gripper
200
+ subtask_index: 24
201
+ - subtask: The left gripper places eyeglass case on the left side of the table
202
+ subtask_index: 25
203
+ - subtask: Pass the eyeglass case to the left gripper
204
+ subtask_index: 26
205
+ - subtask: Use the right gripper to grab the yogurt on the right side of the table
206
+ subtask_index: 27
207
+ - subtask: Use the right gripper to grab the Rubik's Cube on the right side of the
208
+ table
209
+ subtask_index: 28
210
+ - subtask: '
211
+
212
+ Pass the milk to the left gripper
213
+
214
+ '
215
+ subtask_index: 29
216
+ - subtask: The left gripper places purple garbage bag on the left side of the table
217
+ subtask_index: 30
218
+ - subtask: 'null'
219
+ subtask_index: 31
220
+ atomic_actions:
221
+ - grasp
222
+ - lift
223
+ - lower
224
+ - handover
225
+ - takeover
226
+ robot_name:
227
+ - agilex_cobot_magic
228
+ end_effector_type: two_finger_gripper
229
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
230
+ type information.
231
+ sensor_list:
232
+ - cam_head_rgb
233
+ - cam_left_wrist_rgb
234
+ - cam_right_wrist_rgb
235
+ came_info:
236
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
237
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
238
+ pix_fmt=yuv420p
239
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
240
+ pix_fmt=yuv420p
241
+ depth_enabled: false
242
+ coordinate_definition: right-hand-frame
243
+ joint_rotation_dim: radian
244
+ end_rotation_dim: radian
245
+ end_translation_dim: meter
246
+ annotations:
247
+ - eef_acc_mag_annotation.jsonl
248
+ - eef_direction_annotation.jsonl
249
+ - eef_velocity_annotation.jsonl
250
+ - gripper_activity_annotation.jsonl
251
+ - gripper_mode_annotation.jsonl
252
+ - scene_annotations.jsonl
253
+ - subtask_annotations.jsonl
254
+ statistics:
255
+ total_episodes: 93
256
+ total_frames: 59541
257
+ fps: 30
258
+ total_tasks: 32
259
+ total_videos: 279
260
+ total_chunks: 1
261
+ chunks_size: 1000
262
+ state_dim: 26
263
+ action_dim: 26
264
+ camera_views: 3
265
+ dataset_size: 1.15 GB
266
+ frame_num: 59541
267
+ dataset_size: 1.15 GB
268
+ data_structure: 'Agilex_Cobot_Magic_pass_object_right_to_left_black_tablecloth_qced_hardlink/
269
+
270
+ |-- annotations
271
+
272
+ | |-- eef_acc_mag_annotation.jsonl
273
+
274
+ | |-- eef_direction_annotation.jsonl
275
+
276
+ | |-- eef_velocity_annotation.jsonl
277
+
278
+ | |-- gripper_activity_annotation.jsonl
279
+
280
+ | |-- gripper_mode_annotation.jsonl
281
+
282
+ | |-- scene_annotations.jsonl
283
+
284
+ | `-- subtask_annotations.jsonl
285
+
286
+ |-- data
287
+
288
+ | `-- chunk-000
289
+
290
+ | |-- episode_000000.parquet
291
+
292
+ | |-- episode_000001.parquet
293
+
294
+ | |-- episode_000002.parquet
295
+
296
+ | |-- episode_000003.parquet
297
+
298
+ | |-- episode_000004.parquet
299
+
300
+ | |-- episode_000005.parquet
301
+
302
+ | |-- episode_000006.parquet
303
+
304
+ | |-- episode_000007.parquet
305
+
306
+ | |-- episode_000008.parquet
307
+
308
+ | |-- episode_000009.parquet
309
+
310
+ | |-- episode_000010.parquet
311
+
312
+ | `-- episode_000011.parquet
313
+
314
+ | `-- ... (81 more entries)
315
+
316
+ |-- meta
317
+
318
+ | |-- episodes.jsonl
319
+
320
+ | |-- episodes_stats.jsonl
321
+
322
+ | |-- info.json
323
+
324
+ | `-- tasks.jsonl
325
+
326
+ |-- videos
327
+
328
+ | `-- chunk-000
329
+
330
+ | |-- observation.images.cam_head_rgb
331
+
332
+ | |-- observation.images.cam_left_wrist_rgb
333
+
334
+ | `-- observation.images.cam_right_wrist_rgb
335
+
336
+ |-- info.yaml
337
+
338
+ `-- README.md'
339
+ splits:
340
+ train: 0:92
341
+ features:
342
+ observation.images.cam_head_rgb:
343
+ dtype: video
344
+ shape:
345
+ - 480
346
+ - 640
347
+ - 3
348
+ names:
349
+ - height
350
+ - width
351
+ - channels
352
+ info:
353
+ video.height: 480
354
+ video.width: 640
355
+ video.codec: av1
356
+ video.pix_fmt: yuv420p
357
+ video.is_depth_map: false
358
+ video.fps: 30
359
+ video.channels: 3
360
+ has_audio: false
361
+ observation.images.cam_left_wrist_rgb:
362
+ dtype: video
363
+ shape:
364
+ - 480
365
+ - 640
366
+ - 3
367
+ names:
368
+ - height
369
+ - width
370
+ - channels
371
+ info:
372
+ video.height: 480
373
+ video.width: 640
374
+ video.codec: av1
375
+ video.pix_fmt: yuv420p
376
+ video.is_depth_map: false
377
+ video.fps: 30
378
+ video.channels: 3
379
+ has_audio: false
380
+ observation.images.cam_right_wrist_rgb:
381
+ dtype: video
382
+ shape:
383
+ - 480
384
+ - 640
385
+ - 3
386
+ names:
387
+ - height
388
+ - width
389
+ - channels
390
+ info:
391
+ video.height: 480
392
+ video.width: 640
393
+ video.codec: av1
394
+ video.pix_fmt: yuv420p
395
+ video.is_depth_map: false
396
+ video.fps: 30
397
+ video.channels: 3
398
+ has_audio: false
399
+ observation.state:
400
+ dtype: float32
401
+ shape:
402
+ - 26
403
+ names:
404
+ - left_arm_joint_1_rad
405
+ - left_arm_joint_2_rad
406
+ - left_arm_joint_3_rad
407
+ - left_arm_joint_4_rad
408
+ - left_arm_joint_5_rad
409
+ - left_arm_joint_6_rad
410
+ - left_gripper_open
411
+ - left_eef_pos_x_m
412
+ - left_eef_pos_y_m
413
+ - left_eef_pos_z_m
414
+ - left_eef_rot_euler_x_rad
415
+ - left_eef_rot_euler_y_rad
416
+ - left_eef_rot_euler_z_rad
417
+ - right_arm_joint_1_rad
418
+ - right_arm_joint_2_rad
419
+ - right_arm_joint_3_rad
420
+ - right_arm_joint_4_rad
421
+ - right_arm_joint_5_rad
422
+ - right_arm_joint_6_rad
423
+ - right_gripper_open
424
+ - right_eef_pos_x_m
425
+ - right_eef_pos_y_m
426
+ - right_eef_pos_z_m
427
+ - right_eef_rot_euler_x_rad
428
+ - right_eef_rot_euler_y_rad
429
+ - right_eef_rot_euler_z_rad
430
+ action:
431
+ dtype: float32
432
+ shape:
433
+ - 26
434
+ names:
435
+ - left_arm_joint_1_rad
436
+ - left_arm_joint_2_rad
437
+ - left_arm_joint_3_rad
438
+ - left_arm_joint_4_rad
439
+ - left_arm_joint_5_rad
440
+ - left_arm_joint_6_rad
441
+ - left_gripper_open
442
+ - left_eef_pos_x_m
443
+ - left_eef_pos_y_m
444
+ - left_eef_pos_z_m
445
+ - left_eef_rot_euler_x_rad
446
+ - left_eef_rot_euler_y_rad
447
+ - left_eef_rot_euler_z_rad
448
+ - right_arm_joint_1_rad
449
+ - right_arm_joint_2_rad
450
+ - right_arm_joint_3_rad
451
+ - right_arm_joint_4_rad
452
+ - right_arm_joint_5_rad
453
+ - right_arm_joint_6_rad
454
+ - right_gripper_open
455
+ - right_eef_pos_x_m
456
+ - right_eef_pos_y_m
457
+ - right_eef_pos_z_m
458
+ - right_eef_rot_euler_x_rad
459
+ - right_eef_rot_euler_y_rad
460
+ - right_eef_rot_euler_z_rad
461
+ timestamp:
462
+ dtype: float32
463
+ shape:
464
+ - 1
465
+ names: null
466
+ frame_index:
467
+ dtype: int64
468
+ shape:
469
+ - 1
470
+ names: null
471
+ episode_index:
472
+ dtype: int64
473
+ shape:
474
+ - 1
475
+ names: null
476
+ index:
477
+ dtype: int64
478
+ shape:
479
+ - 1
480
+ names: null
481
+ task_index:
482
+ dtype: int64
483
+ shape:
484
+ - 1
485
+ names: null
486
+ subtask_annotation:
487
+ names: null
488
+ dtype: int32
489
+ shape:
490
+ - 5
491
+ scene_annotation:
492
+ names: null
493
+ dtype: int32
494
+ shape:
495
+ - 1
496
+ eef_sim_pose_state:
497
+ names:
498
+ - left_eef_pos_x
499
+ - left_eef_pos_y
500
+ - left_eef_pos_z
501
+ - left_eef_rot_x
502
+ - left_eef_rot_y
503
+ - left_eef_rot_z
504
+ - right_eef_pos_x
505
+ - right_eef_pos_y
506
+ - right_eef_pos_z
507
+ - right_eef_rot_x
508
+ - right_eef_rot_y
509
+ - right_eef_rot_z
510
+ dtype: float32
511
+ shape:
512
+ - 12
513
+ eef_sim_pose_action:
514
+ names:
515
+ - left_eef_pos_x
516
+ - left_eef_pos_y
517
+ - left_eef_pos_z
518
+ - left_eef_rot_x
519
+ - left_eef_rot_y
520
+ - left_eef_rot_z
521
+ - right_eef_pos_x
522
+ - right_eef_pos_y
523
+ - right_eef_pos_z
524
+ - right_eef_rot_x
525
+ - right_eef_rot_y
526
+ - right_eef_rot_z
527
+ dtype: float32
528
+ shape:
529
+ - 12
530
+ eef_direction_state:
531
+ names:
532
+ - left_eef_direction
533
+ - right_eef_direction
534
+ dtype: int32
535
+ shape:
536
+ - 2
537
+ eef_direction_action:
538
+ names:
539
+ - left_eef_direction
540
+ - right_eef_direction
541
+ dtype: int32
542
+ shape:
543
+ - 2
544
+ eef_velocity_state:
545
+ names:
546
+ - left_eef_velocity
547
+ - right_eef_velocity
548
+ dtype: int32
549
+ shape:
550
+ - 2
551
+ eef_velocity_action:
552
+ names:
553
+ - left_eef_velocity
554
+ - right_eef_velocity
555
+ dtype: int32
556
+ shape:
557
+ - 2
558
+ eef_acc_mag_state:
559
+ names:
560
+ - left_eef_acc_mag
561
+ - right_eef_acc_mag
562
+ dtype: int32
563
+ shape:
564
+ - 2
565
+ eef_acc_mag_action:
566
+ names:
567
+ - left_eef_acc_mag
568
+ - right_eef_acc_mag
569
+ dtype: int32
570
+ shape:
571
+ - 2
572
+ gripper_mode_state:
573
+ names:
574
+ - left_gripper_mode
575
+ - right_gripper_mode
576
+ dtype: int32
577
+ shape:
578
+ - 2
579
+ gripper_mode_action:
580
+ names:
581
+ - left_gripper_mode
582
+ - right_gripper_mode
583
+ dtype: int32
584
+ shape:
585
+ - 2
586
+ gripper_activity_state:
587
+ names:
588
+ - left_gripper_activity
589
+ - right_gripper_activity
590
+ dtype: int32
591
+ shape:
592
+ - 2
593
+ gripper_activity_action:
594
+ names:
595
+ - left_gripper_activity
596
+ - right_gripper_activity
597
+ dtype: int32
598
+ shape:
599
+ - 2
600
+ gripper_open_scale_state:
601
+ names:
602
+ - left_gripper_open_scale
603
+ - right_gripper_open_scale
604
+ dtype: float32
605
+ shape:
606
+ - 2
607
+ gripper_open_scale_action:
608
+ names:
609
+ - left_gripper_open_scale
610
+ - right_gripper_open_scale
611
+ dtype: float32
612
+ shape:
613
+ - 2
614
+ authors:
615
+ contributed_by:
616
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
617
+ dataset_description: This dataset uses an extended format based on LeRobot and is
618
+ fully compatible with LeRobot.
619
+ homepage: https://flagopen.github.io/RoboCOIN/
620
+ paper: https://arxiv.org/abs/2511.17441
621
+ repository: https://github.com/FlagOpen/RoboCOIN
622
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
623
+ us.
624
+ support_info: For technical support, please open an issue on our GitHub repository.
625
+ license_details: apache-2.0
626
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
627
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
628
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
629
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
630
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
631
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
632
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
633
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
634
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
635
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
636
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
637
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
638
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
639
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
640
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
641
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
642
+ additional_citations: 'If you use this dataset, please also consider citing:
643
+
644
+ LeRobot Framework: https://github.com/huggingface/lerobot
645
+
646
+ '
647
+ version_info: Initial Release
648
+ data_path: data/chunk-{id}/episode_{id}.parquet
649
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
650
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/agilex_cobot_magic_pass_object_right_to_left_green_tablecloth.yaml ADDED
@@ -0,0 +1,726 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: agilex_cobot_magic_pass_object_right_to_left_green_tablecloth
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: commercial_convenience
27
+ level2: supermarket
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: ambrosial_yogurt
41
+ level1: food
42
+ level2: ambrosial_yogurt
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: banana
47
+ level1: food
48
+ level2: banana
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: long_bread
53
+ level1: food
54
+ level2: long_bread
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: milk
59
+ level1: food
60
+ level2: milk
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: yogurt
65
+ level1: food
66
+ level2: yogurt
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: grape
71
+ level1: food
72
+ level2: grape
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: ham_sausage
77
+ level1: food
78
+ level2: ham_sausage
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: eggplant
83
+ level1: food
84
+ level2: eggplant
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: chewing_gum
89
+ level1: food
90
+ level2: chewing_gum
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: eyeglass_case
95
+ level1: laboratory_supplies
96
+ level2: eyeglass_case
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: rubik's_cube
101
+ level1: toys
102
+ level2: rubik's_cube
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: purple_trash_bag
107
+ level1: trash
108
+ level2: purple_trash_bag
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: cleanser
113
+ level1: daily_necessities
114
+ level2: cleanser
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: bathing_in_flowers
119
+ level1: daily_necessities
120
+ level2: bathing_in_flowers
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: whiteboard_eraser
125
+ level1: stationery
126
+ level2: whiteboard_eraser
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: candle
131
+ level1: daily_necessities
132
+ level2: candle
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: green_table_cloths
137
+ level1: laboratory_supplies
138
+ level2: green_table_cloths
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
143
+ the operation type information.
144
+ task_instruction:
145
+ - use the right gripper to pick up the item and transfer it from the right gripper
146
+ to the left gripper.
147
+ sub_tasks:
148
+ - subtask: The left gripper places milk on the left side of the table
149
+ subtask_index: 0
150
+ - subtask: The left gripper places bread on the left side of the table
151
+ subtask_index: 1
152
+ - subtask: Use the right gripper to grab the shampoo on the right side of the table
153
+ subtask_index: 2
154
+ - subtask: Use the right to grab the bread on the right side of table
155
+ subtask_index: 3
156
+ - subtask: Pass the bread to the left gripper
157
+ subtask_index: 4
158
+ - subtask: Use the right gripper to grab the bread on the right side of the table
159
+ subtask_index: 5
160
+ - subtask: 'The left gripper places grape on the left side of the table
161
+
162
+ '
163
+ subtask_index: 6
164
+ - subtask: End
165
+ subtask_index: 7
166
+ - subtask: 'The left gripper places bread on the left side of the table
167
+
168
+ '
169
+ subtask_index: 8
170
+ - subtask: Pass the eggplant to the left gripper
171
+ subtask_index: 9
172
+ - subtask: The left gripper places yogurt on the left side of the table
173
+ subtask_index: 10
174
+ - subtask: Pass the purple garbage bag to the left gripper
175
+ subtask_index: 11
176
+ - subtask: 'Use the right gripper to grab the xbreadon the right side of the table
177
+
178
+ '
179
+ subtask_index: 12
180
+ - subtask: The left gripper places yogurt on the left side of the table
181
+ subtask_index: 13
182
+ - subtask: Pass the Rubik's Cube to the left gripper
183
+ subtask_index: 14
184
+ - subtask: 'Use the right gripper to grab the grape on the right side of the table
185
+
186
+ '
187
+ subtask_index: 15
188
+ - subtask: Use the right gripper to grab the grape on the right side of the table
189
+ subtask_index: 16
190
+ - subtask: Pass the yogurt to the left gripper
191
+ subtask_index: 17
192
+ - subtask: 'Pass the bread to the left gripper
193
+
194
+ '
195
+ subtask_index: 18
196
+ - subtask: 'Use the right gripper to grab the yogurt on the right side of the table
197
+
198
+ '
199
+ subtask_index: 19
200
+ - subtask: Pass the grape to the left grippe
201
+ subtask_index: 20
202
+ - subtask: 'Use the right gripper to grab the milk on the right side of the table
203
+
204
+ '
205
+ subtask_index: 21
206
+ - subtask: The left gripper places shampoo on the left side of the table
207
+ subtask_index: 22
208
+ - subtask: The left gripper places grape on the left side of the table
209
+ subtask_index: 23
210
+ - subtask: The left gripper places eggplant on the left side of the table
211
+ subtask_index: 24
212
+ - subtask: Use the right gripper to grab the milk on the right side of the table
213
+ subtask_index: 25
214
+ - subtask: Pass the milk to the left gripper
215
+ subtask_index: 26
216
+ - subtask: The left gripper places banana on the left side of the table
217
+ subtask_index: 27
218
+ - subtask: The left gripper places milk on the left side of the table
219
+ subtask_index: 28
220
+ - subtask: The left gripper places xx on the left side of the table
221
+ subtask_index: 29
222
+ - subtask: Pass the shampoo to the left gripper
223
+ subtask_index: 30
224
+ - subtask: '
225
+
226
+ Pass the bread to the left gripper
227
+
228
+ '
229
+ subtask_index: 31
230
+ - subtask: 'Use the right gripper to grab the bread on the right side of the table
231
+
232
+ '
233
+ subtask_index: 32
234
+ - subtask: The left gripper places purple garbage bag on the left side of the table
235
+ subtask_index: 33
236
+ - subtask: Use the right gripper to grab the xx on the right side of the table
237
+ subtask_index: 34
238
+ - subtask: 'Pass the milk to the left gripper
239
+
240
+ '
241
+ subtask_index: 35
242
+ - subtask: Pass the banana to the left gripper
243
+ subtask_index: 36
244
+ - subtask: 'Pass the shampoo to the left gripper
245
+
246
+ '
247
+ subtask_index: 37
248
+ - subtask: The left gripper places Rubik's Cube on the left side of the table
249
+ subtask_index: 38
250
+ - subtask: Use the right gripper to grab the purple garbage bag on the right side
251
+ of the table
252
+ subtask_index: 39
253
+ - subtask: '
254
+
255
+ Pass the yogurt to the left gripper'
256
+ subtask_index: 40
257
+ - subtask: '
258
+
259
+ Pass the bread to the left gripper'
260
+ subtask_index: 41
261
+ - subtask: Use the right gripper to shampoo the on the right side of the table
262
+ subtask_index: 42
263
+ - subtask: 'User the right gripper to grab the grape on the right side of the table
264
+
265
+ '
266
+ subtask_index: 43
267
+ - subtask: 'The left gripper places milk on the left side of the table
268
+
269
+ '
270
+ subtask_index: 44
271
+ - subtask: Use the right gripper to grab the yogurt on the right side of the table
272
+ subtask_index: 45
273
+ - subtask: 'The left gripper places yogurt on the left side of the table
274
+
275
+ '
276
+ subtask_index: 46
277
+ - subtask: Use the right gripper to grab the shampoo on the right side of the table
278
+ subtask_index: 47
279
+ - subtask: Use the right gripper to grab the Rubik's Cube on the right side of the
280
+ table
281
+ subtask_index: 48
282
+ - subtask: '
283
+
284
+ Pass the milk to the left gripper
285
+
286
+ '
287
+ subtask_index: 49
288
+ - subtask: Pass the grape to the left gripper
289
+ subtask_index: 50
290
+ - subtask: 'Pass the grape to the left gripper
291
+
292
+ '
293
+ subtask_index: 51
294
+ - subtask: 'null'
295
+ subtask_index: 52
296
+ atomic_actions:
297
+ - grasp
298
+ - lift
299
+ - lower
300
+ - handover
301
+ - takeover
302
+ robot_name:
303
+ - agilex_cobot_magic
304
+ end_effector_type: two_finger_gripper
305
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
306
+ type information.
307
+ sensor_list:
308
+ - cam_head_rgb
309
+ - cam_left_wrist_rgb
310
+ - cam_right_wrist_rgb
311
+ came_info:
312
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
313
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
314
+ pix_fmt=yuv420p
315
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
316
+ pix_fmt=yuv420p
317
+ depth_enabled: false
318
+ coordinate_definition: right-hand-frame
319
+ joint_rotation_dim: radian
320
+ end_rotation_dim: radian
321
+ end_translation_dim: meter
322
+ annotations:
323
+ - eef_acc_mag_annotation.jsonl
324
+ - eef_direction_annotation.jsonl
325
+ - eef_velocity_annotation.jsonl
326
+ - gripper_activity_annotation.jsonl
327
+ - gripper_mode_annotation.jsonl
328
+ - scene_annotations.jsonl
329
+ - subtask_annotations.jsonl
330
+ statistics:
331
+ total_episodes: 98
332
+ total_frames: 69065
333
+ fps: 30
334
+ total_tasks: 53
335
+ total_videos: 294
336
+ total_chunks: 1
337
+ chunks_size: 1000
338
+ state_dim: 26
339
+ action_dim: 26
340
+ camera_views: 3
341
+ dataset_size: 884.48 MB
342
+ frame_num: 69065
343
+ dataset_size: 884.48 MB
344
+ data_structure: 'Agilex_Cobot_Magic_pass_object_right_to_left_green_tablecloth_qced_hardlink/
345
+
346
+ |-- annotations
347
+
348
+ | |-- eef_acc_mag_annotation.jsonl
349
+
350
+ | |-- eef_direction_annotation.jsonl
351
+
352
+ | |-- eef_velocity_annotation.jsonl
353
+
354
+ | |-- gripper_activity_annotation.jsonl
355
+
356
+ | |-- gripper_mode_annotation.jsonl
357
+
358
+ | |-- scene_annotations.jsonl
359
+
360
+ | `-- subtask_annotations.jsonl
361
+
362
+ |-- data
363
+
364
+ | `-- chunk-000
365
+
366
+ | |-- episode_000000.parquet
367
+
368
+ | |-- episode_000001.parquet
369
+
370
+ | |-- episode_000002.parquet
371
+
372
+ | |-- episode_000003.parquet
373
+
374
+ | |-- episode_000004.parquet
375
+
376
+ | |-- episode_000005.parquet
377
+
378
+ | |-- episode_000006.parquet
379
+
380
+ | |-- episode_000007.parquet
381
+
382
+ | |-- episode_000008.parquet
383
+
384
+ | |-- episode_000009.parquet
385
+
386
+ | |-- episode_000010.parquet
387
+
388
+ | `-- episode_000011.parquet
389
+
390
+ | `-- ... (86 more entries)
391
+
392
+ |-- meta
393
+
394
+ | |-- episodes.jsonl
395
+
396
+ | |-- episodes_stats.jsonl
397
+
398
+ | |-- info.json
399
+
400
+ | `-- tasks.jsonl
401
+
402
+ |-- videos
403
+
404
+ | `-- chunk-000
405
+
406
+ | |-- observation.images.cam_head_rgb
407
+
408
+ | |-- observation.images.cam_left_wrist_rgb
409
+
410
+ | `-- observation.images.cam_right_wrist_rgb
411
+
412
+ |-- info.yaml
413
+
414
+ `-- README.md'
415
+ splits:
416
+ train: 0:97
417
+ features:
418
+ observation.images.cam_head_rgb:
419
+ dtype: video
420
+ shape:
421
+ - 480
422
+ - 640
423
+ - 3
424
+ names:
425
+ - height
426
+ - width
427
+ - channels
428
+ info:
429
+ video.height: 480
430
+ video.width: 640
431
+ video.codec: av1
432
+ video.pix_fmt: yuv420p
433
+ video.is_depth_map: false
434
+ video.fps: 30
435
+ video.channels: 3
436
+ has_audio: false
437
+ observation.images.cam_left_wrist_rgb:
438
+ dtype: video
439
+ shape:
440
+ - 480
441
+ - 640
442
+ - 3
443
+ names:
444
+ - height
445
+ - width
446
+ - channels
447
+ info:
448
+ video.height: 480
449
+ video.width: 640
450
+ video.codec: av1
451
+ video.pix_fmt: yuv420p
452
+ video.is_depth_map: false
453
+ video.fps: 30
454
+ video.channels: 3
455
+ has_audio: false
456
+ observation.images.cam_right_wrist_rgb:
457
+ dtype: video
458
+ shape:
459
+ - 480
460
+ - 640
461
+ - 3
462
+ names:
463
+ - height
464
+ - width
465
+ - channels
466
+ info:
467
+ video.height: 480
468
+ video.width: 640
469
+ video.codec: av1
470
+ video.pix_fmt: yuv420p
471
+ video.is_depth_map: false
472
+ video.fps: 30
473
+ video.channels: 3
474
+ has_audio: false
475
+ observation.state:
476
+ dtype: float32
477
+ shape:
478
+ - 26
479
+ names:
480
+ - left_arm_joint_1_rad
481
+ - left_arm_joint_2_rad
482
+ - left_arm_joint_3_rad
483
+ - left_arm_joint_4_rad
484
+ - left_arm_joint_5_rad
485
+ - left_arm_joint_6_rad
486
+ - left_gripper_open
487
+ - left_eef_pos_x_m
488
+ - left_eef_pos_y_m
489
+ - left_eef_pos_z_m
490
+ - left_eef_rot_euler_x_rad
491
+ - left_eef_rot_euler_y_rad
492
+ - left_eef_rot_euler_z_rad
493
+ - right_arm_joint_1_rad
494
+ - right_arm_joint_2_rad
495
+ - right_arm_joint_3_rad
496
+ - right_arm_joint_4_rad
497
+ - right_arm_joint_5_rad
498
+ - right_arm_joint_6_rad
499
+ - right_gripper_open
500
+ - right_eef_pos_x_m
501
+ - right_eef_pos_y_m
502
+ - right_eef_pos_z_m
503
+ - right_eef_rot_euler_x_rad
504
+ - right_eef_rot_euler_y_rad
505
+ - right_eef_rot_euler_z_rad
506
+ action:
507
+ dtype: float32
508
+ shape:
509
+ - 26
510
+ names:
511
+ - left_arm_joint_1_rad
512
+ - left_arm_joint_2_rad
513
+ - left_arm_joint_3_rad
514
+ - left_arm_joint_4_rad
515
+ - left_arm_joint_5_rad
516
+ - left_arm_joint_6_rad
517
+ - left_gripper_open
518
+ - left_eef_pos_x_m
519
+ - left_eef_pos_y_m
520
+ - left_eef_pos_z_m
521
+ - left_eef_rot_euler_x_rad
522
+ - left_eef_rot_euler_y_rad
523
+ - left_eef_rot_euler_z_rad
524
+ - right_arm_joint_1_rad
525
+ - right_arm_joint_2_rad
526
+ - right_arm_joint_3_rad
527
+ - right_arm_joint_4_rad
528
+ - right_arm_joint_5_rad
529
+ - right_arm_joint_6_rad
530
+ - right_gripper_open
531
+ - right_eef_pos_x_m
532
+ - right_eef_pos_y_m
533
+ - right_eef_pos_z_m
534
+ - right_eef_rot_euler_x_rad
535
+ - right_eef_rot_euler_y_rad
536
+ - right_eef_rot_euler_z_rad
537
+ timestamp:
538
+ dtype: float32
539
+ shape:
540
+ - 1
541
+ names: null
542
+ frame_index:
543
+ dtype: int64
544
+ shape:
545
+ - 1
546
+ names: null
547
+ episode_index:
548
+ dtype: int64
549
+ shape:
550
+ - 1
551
+ names: null
552
+ index:
553
+ dtype: int64
554
+ shape:
555
+ - 1
556
+ names: null
557
+ task_index:
558
+ dtype: int64
559
+ shape:
560
+ - 1
561
+ names: null
562
+ subtask_annotation:
563
+ names: null
564
+ dtype: int32
565
+ shape:
566
+ - 5
567
+ scene_annotation:
568
+ names: null
569
+ dtype: int32
570
+ shape:
571
+ - 1
572
+ eef_sim_pose_state:
573
+ names:
574
+ - left_eef_pos_x
575
+ - left_eef_pos_y
576
+ - left_eef_pos_z
577
+ - left_eef_rot_x
578
+ - left_eef_rot_y
579
+ - left_eef_rot_z
580
+ - right_eef_pos_x
581
+ - right_eef_pos_y
582
+ - right_eef_pos_z
583
+ - right_eef_rot_x
584
+ - right_eef_rot_y
585
+ - right_eef_rot_z
586
+ dtype: float32
587
+ shape:
588
+ - 12
589
+ eef_sim_pose_action:
590
+ names:
591
+ - left_eef_pos_x
592
+ - left_eef_pos_y
593
+ - left_eef_pos_z
594
+ - left_eef_rot_x
595
+ - left_eef_rot_y
596
+ - left_eef_rot_z
597
+ - right_eef_pos_x
598
+ - right_eef_pos_y
599
+ - right_eef_pos_z
600
+ - right_eef_rot_x
601
+ - right_eef_rot_y
602
+ - right_eef_rot_z
603
+ dtype: float32
604
+ shape:
605
+ - 12
606
+ eef_direction_state:
607
+ names:
608
+ - left_eef_direction
609
+ - right_eef_direction
610
+ dtype: int32
611
+ shape:
612
+ - 2
613
+ eef_direction_action:
614
+ names:
615
+ - left_eef_direction
616
+ - right_eef_direction
617
+ dtype: int32
618
+ shape:
619
+ - 2
620
+ eef_velocity_state:
621
+ names:
622
+ - left_eef_velocity
623
+ - right_eef_velocity
624
+ dtype: int32
625
+ shape:
626
+ - 2
627
+ eef_velocity_action:
628
+ names:
629
+ - left_eef_velocity
630
+ - right_eef_velocity
631
+ dtype: int32
632
+ shape:
633
+ - 2
634
+ eef_acc_mag_state:
635
+ names:
636
+ - left_eef_acc_mag
637
+ - right_eef_acc_mag
638
+ dtype: int32
639
+ shape:
640
+ - 2
641
+ eef_acc_mag_action:
642
+ names:
643
+ - left_eef_acc_mag
644
+ - right_eef_acc_mag
645
+ dtype: int32
646
+ shape:
647
+ - 2
648
+ gripper_mode_state:
649
+ names:
650
+ - left_gripper_mode
651
+ - right_gripper_mode
652
+ dtype: int32
653
+ shape:
654
+ - 2
655
+ gripper_mode_action:
656
+ names:
657
+ - left_gripper_mode
658
+ - right_gripper_mode
659
+ dtype: int32
660
+ shape:
661
+ - 2
662
+ gripper_activity_state:
663
+ names:
664
+ - left_gripper_activity
665
+ - right_gripper_activity
666
+ dtype: int32
667
+ shape:
668
+ - 2
669
+ gripper_activity_action:
670
+ names:
671
+ - left_gripper_activity
672
+ - right_gripper_activity
673
+ dtype: int32
674
+ shape:
675
+ - 2
676
+ gripper_open_scale_state:
677
+ names:
678
+ - left_gripper_open_scale
679
+ - right_gripper_open_scale
680
+ dtype: float32
681
+ shape:
682
+ - 2
683
+ gripper_open_scale_action:
684
+ names:
685
+ - left_gripper_open_scale
686
+ - right_gripper_open_scale
687
+ dtype: float32
688
+ shape:
689
+ - 2
690
+ authors:
691
+ contributed_by:
692
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
693
+ dataset_description: This dataset uses an extended format based on LeRobot and is
694
+ fully compatible with LeRobot.
695
+ homepage: https://flagopen.github.io/RoboCOIN/
696
+ paper: https://arxiv.org/abs/2511.17441
697
+ repository: https://github.com/FlagOpen/RoboCOIN
698
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
699
+ us.
700
+ support_info: For technical support, please open an issue on our GitHub repository.
701
+ license_details: apache-2.0
702
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
703
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
704
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
705
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
706
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
707
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
708
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
709
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
710
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
711
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
712
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
713
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
714
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
715
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
716
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
717
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
718
+ additional_citations: 'If you use this dataset, please also consider citing:
719
+
720
+ LeRobot Framework: https://github.com/huggingface/lerobot
721
+
722
+ '
723
+ version_info: Initial Release
724
+ data_path: data/chunk-{id}/episode_{id}.parquet
725
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
726
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/agilex_cobot_magic_pass_object_right_to_left_khaki_tablecloth.yaml ADDED
@@ -0,0 +1,582 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: agilex_cobot_magic_pass_object_right_to_left_khaki_tablecloth
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: commercial_convenience
27
+ level2: supermarket
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ level1: home_storage
36
+ level2: table
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: ambrosial_yogurt
41
+ level1: food
42
+ level2: ambrosial_yogurt
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: banana
47
+ level1: food
48
+ level2: banana
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: long_bread
53
+ level1: food
54
+ level2: long_bread
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: milk
59
+ level1: food
60
+ level2: milk
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: yogurt
65
+ level1: food
66
+ level2: yogurt
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: grape
71
+ level1: food
72
+ level2: grape
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: ham_sausage
77
+ level1: food
78
+ level2: ham_sausage
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: eggplant
83
+ level1: food
84
+ level2: eggplant
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: chewing_gum
89
+ level1: food
90
+ level2: chewing_gum
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: eyeglass_case
95
+ level1: laboratory_supplies
96
+ level2: eyeglass_case
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: rubik's_cube
101
+ level1: toys
102
+ level2: rubik's_cube
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: purple_trash_bag
107
+ level1: trash
108
+ level2: purple_trash_bag
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: cleanser
113
+ level1: daily_necessities
114
+ level2: cleanser
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: bathing_in_flowers
119
+ level1: daily_necessities
120
+ level2: bathing_in_flowers
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: whiteboard_eraser
125
+ level1: stationery
126
+ level2: whiteboard_eraser
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: candle
131
+ level1: daily_necessities
132
+ level2: candle
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: khaki_table_cloths
137
+ level1: laboratory_supplies
138
+ level2: khaki_table_cloths
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
143
+ the operation type information.
144
+ task_instruction:
145
+ - use the right gripper to pick up the item and transfer it from the right gripper
146
+ to the left gripper.
147
+ sub_tasks:
148
+ - subtask: Unlabeled
149
+ subtask_index: 0
150
+ - subtask: 'null'
151
+ subtask_index: 1
152
+ atomic_actions:
153
+ - grasp
154
+ - lift
155
+ - lower
156
+ - handover
157
+ - takeover
158
+ robot_name:
159
+ - agilex_cobot_magic
160
+ end_effector_type: two_finger_gripper
161
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
162
+ type information.
163
+ sensor_list:
164
+ - cam_head_rgb
165
+ - cam_left_wrist_rgb
166
+ - cam_right_wrist_rgb
167
+ came_info:
168
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
169
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
170
+ pix_fmt=yuv420p
171
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
172
+ pix_fmt=yuv420p
173
+ depth_enabled: false
174
+ coordinate_definition: right-hand-frame
175
+ joint_rotation_dim: radian
176
+ end_rotation_dim: radian
177
+ end_translation_dim: meter
178
+ annotations:
179
+ - eef_acc_mag_annotation.jsonl
180
+ - eef_direction_annotation.jsonl
181
+ - eef_velocity_annotation.jsonl
182
+ - gripper_activity_annotation.jsonl
183
+ - gripper_mode_annotation.jsonl
184
+ - scene_annotations.jsonl
185
+ - subtask_annotations.jsonl
186
+ statistics:
187
+ total_episodes: 98
188
+ total_frames: 64158
189
+ fps: 30
190
+ total_tasks: 2
191
+ total_videos: 294
192
+ total_chunks: 1
193
+ chunks_size: 1000
194
+ state_dim: 26
195
+ action_dim: 26
196
+ camera_views: 3
197
+ dataset_size: 749.82 MB
198
+ frame_num: 64158
199
+ dataset_size: 749.82 MB
200
+ data_structure: 'Agilex_Cobot_Magic_pass_object_right_to_left_khaki_tablecloth_qced_hardlink/
201
+
202
+ |-- annotations
203
+
204
+ | |-- eef_acc_mag_annotation.jsonl
205
+
206
+ | |-- eef_direction_annotation.jsonl
207
+
208
+ | |-- eef_velocity_annotation.jsonl
209
+
210
+ | |-- gripper_activity_annotation.jsonl
211
+
212
+ | |-- gripper_mode_annotation.jsonl
213
+
214
+ | |-- scene_annotations.jsonl
215
+
216
+ | `-- subtask_annotations.jsonl
217
+
218
+ |-- data
219
+
220
+ | `-- chunk-000
221
+
222
+ | |-- episode_000000.parquet
223
+
224
+ | |-- episode_000001.parquet
225
+
226
+ | |-- episode_000002.parquet
227
+
228
+ | |-- episode_000003.parquet
229
+
230
+ | |-- episode_000004.parquet
231
+
232
+ | |-- episode_000005.parquet
233
+
234
+ | |-- episode_000006.parquet
235
+
236
+ | |-- episode_000007.parquet
237
+
238
+ | |-- episode_000008.parquet
239
+
240
+ | |-- episode_000009.parquet
241
+
242
+ | |-- episode_000010.parquet
243
+
244
+ | `-- episode_000011.parquet
245
+
246
+ | `-- ... (86 more entries)
247
+
248
+ |-- meta
249
+
250
+ | |-- episodes.jsonl
251
+
252
+ | |-- episodes_stats.jsonl
253
+
254
+ | |-- info.json
255
+
256
+ | `-- tasks.jsonl
257
+
258
+ |-- videos
259
+
260
+ | `-- chunk-000
261
+
262
+ | |-- observation.images.cam_head_rgb
263
+
264
+ | |-- observation.images.cam_left_wrist_rgb
265
+
266
+ | `-- observation.images.cam_right_wrist_rgb
267
+
268
+ |-- info.yaml
269
+
270
+ `-- README.md'
271
+ splits:
272
+ train: 0:97
273
+ features:
274
+ observation.images.cam_head_rgb:
275
+ dtype: video
276
+ shape:
277
+ - 480
278
+ - 640
279
+ - 3
280
+ names:
281
+ - height
282
+ - width
283
+ - channels
284
+ info:
285
+ video.height: 480
286
+ video.width: 640
287
+ video.codec: av1
288
+ video.pix_fmt: yuv420p
289
+ video.is_depth_map: false
290
+ video.fps: 30
291
+ video.channels: 3
292
+ has_audio: false
293
+ observation.images.cam_left_wrist_rgb:
294
+ dtype: video
295
+ shape:
296
+ - 480
297
+ - 640
298
+ - 3
299
+ names:
300
+ - height
301
+ - width
302
+ - channels
303
+ info:
304
+ video.height: 480
305
+ video.width: 640
306
+ video.codec: av1
307
+ video.pix_fmt: yuv420p
308
+ video.is_depth_map: false
309
+ video.fps: 30
310
+ video.channels: 3
311
+ has_audio: false
312
+ observation.images.cam_right_wrist_rgb:
313
+ dtype: video
314
+ shape:
315
+ - 480
316
+ - 640
317
+ - 3
318
+ names:
319
+ - height
320
+ - width
321
+ - channels
322
+ info:
323
+ video.height: 480
324
+ video.width: 640
325
+ video.codec: av1
326
+ video.pix_fmt: yuv420p
327
+ video.is_depth_map: false
328
+ video.fps: 30
329
+ video.channels: 3
330
+ has_audio: false
331
+ observation.state:
332
+ dtype: float32
333
+ shape:
334
+ - 26
335
+ names:
336
+ - left_arm_joint_1_rad
337
+ - left_arm_joint_2_rad
338
+ - left_arm_joint_3_rad
339
+ - left_arm_joint_4_rad
340
+ - left_arm_joint_5_rad
341
+ - left_arm_joint_6_rad
342
+ - left_gripper_open
343
+ - left_eef_pos_x_m
344
+ - left_eef_pos_y_m
345
+ - left_eef_pos_z_m
346
+ - left_eef_rot_euler_x_rad
347
+ - left_eef_rot_euler_y_rad
348
+ - left_eef_rot_euler_z_rad
349
+ - right_arm_joint_1_rad
350
+ - right_arm_joint_2_rad
351
+ - right_arm_joint_3_rad
352
+ - right_arm_joint_4_rad
353
+ - right_arm_joint_5_rad
354
+ - right_arm_joint_6_rad
355
+ - right_gripper_open
356
+ - right_eef_pos_x_m
357
+ - right_eef_pos_y_m
358
+ - right_eef_pos_z_m
359
+ - right_eef_rot_euler_x_rad
360
+ - right_eef_rot_euler_y_rad
361
+ - right_eef_rot_euler_z_rad
362
+ action:
363
+ dtype: float32
364
+ shape:
365
+ - 26
366
+ names:
367
+ - left_arm_joint_1_rad
368
+ - left_arm_joint_2_rad
369
+ - left_arm_joint_3_rad
370
+ - left_arm_joint_4_rad
371
+ - left_arm_joint_5_rad
372
+ - left_arm_joint_6_rad
373
+ - left_gripper_open
374
+ - left_eef_pos_x_m
375
+ - left_eef_pos_y_m
376
+ - left_eef_pos_z_m
377
+ - left_eef_rot_euler_x_rad
378
+ - left_eef_rot_euler_y_rad
379
+ - left_eef_rot_euler_z_rad
380
+ - right_arm_joint_1_rad
381
+ - right_arm_joint_2_rad
382
+ - right_arm_joint_3_rad
383
+ - right_arm_joint_4_rad
384
+ - right_arm_joint_5_rad
385
+ - right_arm_joint_6_rad
386
+ - right_gripper_open
387
+ - right_eef_pos_x_m
388
+ - right_eef_pos_y_m
389
+ - right_eef_pos_z_m
390
+ - right_eef_rot_euler_x_rad
391
+ - right_eef_rot_euler_y_rad
392
+ - right_eef_rot_euler_z_rad
393
+ timestamp:
394
+ dtype: float32
395
+ shape:
396
+ - 1
397
+ names: null
398
+ frame_index:
399
+ dtype: int64
400
+ shape:
401
+ - 1
402
+ names: null
403
+ episode_index:
404
+ dtype: int64
405
+ shape:
406
+ - 1
407
+ names: null
408
+ index:
409
+ dtype: int64
410
+ shape:
411
+ - 1
412
+ names: null
413
+ task_index:
414
+ dtype: int64
415
+ shape:
416
+ - 1
417
+ names: null
418
+ subtask_annotation:
419
+ names: null
420
+ shape:
421
+ - 5
422
+ dtype: int32
423
+ scene_annotation:
424
+ names: null
425
+ shape:
426
+ - 1
427
+ dtype: int32
428
+ eef_sim_pose_state:
429
+ names:
430
+ - left_eef_pos_x
431
+ - left_eef_pos_y
432
+ - left_eef_pos_z
433
+ - left_eef_rot_x
434
+ - left_eef_rot_y
435
+ - left_eef_rot_z
436
+ - right_eef_pos_x
437
+ - right_eef_pos_y
438
+ - right_eef_pos_z
439
+ - right_eef_rot_x
440
+ - right_eef_rot_y
441
+ - right_eef_rot_z
442
+ shape:
443
+ - 12
444
+ dtype: float32
445
+ eef_sim_pose_action:
446
+ names:
447
+ - left_eef_pos_x
448
+ - left_eef_pos_y
449
+ - left_eef_pos_z
450
+ - left_eef_rot_x
451
+ - left_eef_rot_y
452
+ - left_eef_rot_z
453
+ - right_eef_pos_x
454
+ - right_eef_pos_y
455
+ - right_eef_pos_z
456
+ - right_eef_rot_x
457
+ - right_eef_rot_y
458
+ - right_eef_rot_z
459
+ shape:
460
+ - 12
461
+ dtype: float32
462
+ eef_direction_state:
463
+ names:
464
+ - left_eef_direction
465
+ - right_eef_direction
466
+ shape:
467
+ - 2
468
+ dtype: int32
469
+ eef_direction_action:
470
+ names:
471
+ - left_eef_direction
472
+ - right_eef_direction
473
+ shape:
474
+ - 2
475
+ dtype: int32
476
+ eef_velocity_state:
477
+ names:
478
+ - left_eef_velocity
479
+ - right_eef_velocity
480
+ shape:
481
+ - 2
482
+ dtype: int32
483
+ eef_velocity_action:
484
+ names:
485
+ - left_eef_velocity
486
+ - right_eef_velocity
487
+ shape:
488
+ - 2
489
+ dtype: int32
490
+ eef_acc_mag_state:
491
+ names:
492
+ - left_eef_acc_mag
493
+ - right_eef_acc_mag
494
+ shape:
495
+ - 2
496
+ dtype: int32
497
+ eef_acc_mag_action:
498
+ names:
499
+ - left_eef_acc_mag
500
+ - right_eef_acc_mag
501
+ shape:
502
+ - 2
503
+ dtype: int32
504
+ gripper_mode_state:
505
+ names:
506
+ - left_gripper_mode
507
+ - right_gripper_mode
508
+ shape:
509
+ - 2
510
+ dtype: int32
511
+ gripper_mode_action:
512
+ names:
513
+ - left_gripper_mode
514
+ - right_gripper_mode
515
+ shape:
516
+ - 2
517
+ dtype: int32
518
+ gripper_activity_state:
519
+ names:
520
+ - left_gripper_activity
521
+ - right_gripper_activity
522
+ shape:
523
+ - 2
524
+ dtype: int32
525
+ gripper_activity_action:
526
+ names:
527
+ - left_gripper_activity
528
+ - right_gripper_activity
529
+ shape:
530
+ - 2
531
+ dtype: int32
532
+ gripper_open_scale_state:
533
+ names:
534
+ - left_gripper_open_scale
535
+ - right_gripper_open_scale
536
+ dtype: float32
537
+ shape:
538
+ - 2
539
+ gripper_open_scale_action:
540
+ names:
541
+ - left_gripper_open_scale
542
+ - right_gripper_open_scale
543
+ dtype: float32
544
+ shape:
545
+ - 2
546
+ authors:
547
+ contributed_by:
548
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
549
+ dataset_description: This dataset uses an extended format based on LeRobot and is
550
+ fully compatible with LeRobot.
551
+ homepage: https://flagopen.github.io/RoboCOIN/
552
+ paper: https://arxiv.org/abs/2511.17441
553
+ repository: https://github.com/FlagOpen/RoboCOIN
554
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
555
+ us.
556
+ support_info: For technical support, please open an issue on our GitHub repository.
557
+ license_details: apache-2.0
558
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
559
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
560
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
561
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
562
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
563
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
564
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
565
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
566
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
567
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
568
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
569
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
570
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
571
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
572
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
573
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
574
+ additional_citations: 'If you use this dataset, please also consider citing:
575
+
576
+ LeRobot Framework: https://github.com/huggingface/lerobot
577
+
578
+ '
579
+ version_info: Initial Release
580
+ data_path: data/chunk-{id}/episode_{id}.parquet
581
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
582
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
info/consolidated_datasets.json CHANGED
The diff for this file is too large to render. See raw diff
 
info/data_index.json CHANGED
@@ -102,13 +102,17 @@
102
  "AgiBot-g1_storage_item_d",
103
  "AgiBot-g1_storage_item_e",
104
  "AgiBot-g1_tool_storage",
 
105
  "Agilex_Cobot_Magic_close_drawer_bottom",
 
106
  "Agilex_Cobot_Magic_close_drawer_upper",
107
  "Agilex_Cobot_Magic_erase_board_left_side",
108
  "Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth",
109
  "Agilex_Cobot_Magic_open_drawer_bottom",
110
  "Agilex_Cobot_Magic_storage_bread_basket",
 
111
  "Agilex_Cobot_Magic_storage_object_closest",
 
112
  "Airbot_MMK2_move_block_gold_bar_models",
113
  "Airbot_MMK2_move_book_front",
114
  "Airbot_MMK2_move_book_right_side",
@@ -122,10 +126,14 @@
122
  "Airbot_MMK2_pour_BBs",
123
  "Airbot_MMK2_push_toy_car",
124
  "Airbot_MMK2_slide_tape_onto_can",
 
125
  "Airbot_MMK2_stack_cubic_block",
 
 
126
  "Airbot_MMK2_storage_bottle_part",
127
  "Airbot_MMK2_storage_bowl_wet_wipes",
128
  "Airbot_MMK2_storage_braised_pork_belly_shrimp",
 
129
  "Airbot_MMK2_storage_cake_ice_cream",
130
  "Airbot_MMK2_storage_cookie_toy_car",
131
  "Airbot_MMK2_storage_cup",
@@ -258,9 +266,24 @@
258
  "G1edu-u3_put_the_water_bottle_on_the_table_d",
259
  "G1edu-u3_stack_bowls",
260
  "G1edu-u3_tray_storage_lemon_a",
 
 
 
 
 
 
 
 
 
 
 
 
 
261
  "Galaxea_R1_Lite_pour_solid",
 
262
  "Galaxea_R1_Lite_storage_object_dish",
263
  "Galaxea_R1_Lite_storage_object_yellow_basket",
 
264
  "Galbot_g1_fold_clothe_b",
265
  "Galbot_g1_fold_clothe_c",
266
  "Galbot_g1_fold_clothe_e",
@@ -394,6 +417,10 @@
394
  "Tianqin_A2_box_storage_part",
395
  "Tianqin_A2_container_storage_graphics_card",
396
  "Tianqin_A2_place_the_paper_box",
 
 
 
 
397
  "alpha_bot_2_carry_the_clothes_basket",
398
  "alpha_bot_2_item_reversal",
399
  "alpha_bot_2_move_the_table",
@@ -454,5 +481,5 @@
454
  "leju_robot_pass_the_cleaner_d",
455
  "leju_robot_pass_the_cleaner_e"
456
  ],
457
- "count": 453
458
  }
 
102
  "AgiBot-g1_storage_item_d",
103
  "AgiBot-g1_storage_item_e",
104
  "AgiBot-g1_tool_storage",
105
+ "Agilex_Cobot_Magic_classify_objects_eight",
106
  "Agilex_Cobot_Magic_close_drawer_bottom",
107
+ "Agilex_Cobot_Magic_close_drawer_top",
108
  "Agilex_Cobot_Magic_close_drawer_upper",
109
  "Agilex_Cobot_Magic_erase_board_left_side",
110
  "Agilex_Cobot_Magic_move_mouse_pen_black_tablecloth",
111
  "Agilex_Cobot_Magic_open_drawer_bottom",
112
  "Agilex_Cobot_Magic_storage_bread_basket",
113
+ "Agilex_Cobot_Magic_storage_object",
114
  "Agilex_Cobot_Magic_storage_object_closest",
115
+ "Agilex_Cobot_Magic_storage_object_closest_apple",
116
  "Airbot_MMK2_move_block_gold_bar_models",
117
  "Airbot_MMK2_move_book_front",
118
  "Airbot_MMK2_move_book_right_side",
 
126
  "Airbot_MMK2_pour_BBs",
127
  "Airbot_MMK2_push_toy_car",
128
  "Airbot_MMK2_slide_tape_onto_can",
129
+ "Airbot_MMK2_stack_bowl",
130
  "Airbot_MMK2_stack_cubic_block",
131
+ "Airbot_MMK2_storage_block_BBs",
132
+ "Airbot_MMK2_storage_block_tape_measure",
133
  "Airbot_MMK2_storage_bottle_part",
134
  "Airbot_MMK2_storage_bowl_wet_wipes",
135
  "Airbot_MMK2_storage_braised_pork_belly_shrimp",
136
+ "Airbot_MMK2_storage_cake_cup",
137
  "Airbot_MMK2_storage_cake_ice_cream",
138
  "Airbot_MMK2_storage_cookie_toy_car",
139
  "Airbot_MMK2_storage_cup",
 
266
  "G1edu-u3_put_the_water_bottle_on_the_table_d",
267
  "G1edu-u3_stack_bowls",
268
  "G1edu-u3_tray_storage_lemon_a",
269
+ "Galaxea_R1_Lite_arrange_baai_then_brain",
270
+ "Galaxea_R1_Lite_change_baai_into_brain",
271
+ "Galaxea_R1_Lite_fold_towel_twice",
272
+ "Galaxea_R1_Lite_mix_blue_yellow_left_large_test_tube",
273
+ "Galaxea_R1_Lite_mix_blue_yellow_right",
274
+ "Galaxea_R1_Lite_mix_color_small_test_tube",
275
+ "Galaxea_R1_Lite_mix_red_blue_large_test_tube",
276
+ "Galaxea_R1_Lite_mix_red_blue_left_large_test_tube",
277
+ "Galaxea_R1_Lite_mix_red_blue_right",
278
+ "Galaxea_R1_Lite_mix_red_yellow_large_test_tube",
279
+ "Galaxea_R1_Lite_mix_red_yellow_left_large_test_tube",
280
+ "Galaxea_R1_Lite_mix_red_yellow_right",
281
+ "Galaxea_R1_Lite_move_mouse",
282
  "Galaxea_R1_Lite_pour_solid",
283
+ "Galaxea_R1_Lite_pour_solid_marble_bar_counter",
284
  "Galaxea_R1_Lite_storage_object_dish",
285
  "Galaxea_R1_Lite_storage_object_yellow_basket",
286
+ "Galaxea_R1_Lite_toggle_drawer_red",
287
  "Galbot_g1_fold_clothe_b",
288
  "Galbot_g1_fold_clothe_c",
289
  "Galbot_g1_fold_clothe_e",
 
417
  "Tianqin_A2_box_storage_part",
418
  "Tianqin_A2_container_storage_graphics_card",
419
  "Tianqin_A2_place_the_paper_box",
420
+ "agilex_cobot_magic_pass_object_left_to_right_khaki_tablecloth",
421
+ "agilex_cobot_magic_pass_object_right_to_left_black_tablecloth",
422
+ "agilex_cobot_magic_pass_object_right_to_left_green_tablecloth",
423
+ "agilex_cobot_magic_pass_object_right_to_left_khaki_tablecloth",
424
  "alpha_bot_2_carry_the_clothes_basket",
425
  "alpha_bot_2_item_reversal",
426
  "alpha_bot_2_move_the_table",
 
481
  "leju_robot_pass_the_cleaner_d",
482
  "leju_robot_pass_the_cleaner_e"
483
  ],
484
+ "count": 480
485
  }
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thumbnails/Agilex_Cobot_Magic_storage_object_closest_apple.jpg ADDED

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thumbnails/Airbot_MMK2_move_book_front.jpg CHANGED

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thumbnails/Airbot_MMK2_storage_bowl_wet_wipes.jpg CHANGED

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thumbnails/Airbot_MMK2_storage_braised_pork_belly_shrimp.jpg CHANGED

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thumbnails/Galaxea_R1_Lite_change_baai_into_brain.jpg ADDED

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