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Update RoboCOIN assets

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dataset_info/Galaxea_R1_Lite_storage_object_dish.yaml ADDED
@@ -0,0 +1,810 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Galaxea_R1_Lite_storage_object_dish
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: dish
35
+ level1: plates
36
+ level2: dish
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: banana
41
+ level1: fruits
42
+ level2: banana
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: bathing_in_flowers
47
+ level1: daily_necessities
48
+ level2: bathing_in_flowers
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: blue_cup
53
+ level1: cups
54
+ level2: blue_cup
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: blue_pot
59
+ level1: kitchen_supplies
60
+ level2: blue_pot
61
+ level3: null
62
+ level4: null
63
+ level5: null
64
+ - object_name: toast_slices
65
+ level1: bread
66
+ level2: toast_slices
67
+ level3: null
68
+ level4: null
69
+ level5: null
70
+ - object_name: brown_towel
71
+ level1: towels
72
+ level2: brown_towel
73
+ level3: null
74
+ level4: null
75
+ level5: null
76
+ - object_name: can
77
+ level1: snacks
78
+ level2: can
79
+ level3: null
80
+ level4: null
81
+ level5: null
82
+ - object_name: coke
83
+ level1: beverages
84
+ level2: coke
85
+ level3: null
86
+ level4: null
87
+ level5: null
88
+ - object_name: potato_chips
89
+ level1: snacks
90
+ level2: potato_chips
91
+ level3: null
92
+ level4: null
93
+ level5: null
94
+ - object_name: chocolate
95
+ level1: snacks
96
+ level2: chocolate
97
+ level3: null
98
+ level4: null
99
+ level5: null
100
+ - object_name: compass
101
+ level1: stationery
102
+ level2: compass
103
+ level3: null
104
+ level4: null
105
+ level5: null
106
+ - object_name: block_pillar
107
+ level1: toys
108
+ level2: block_pillar
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: egg_beater
113
+ level1: kitchen_supplies
114
+ level2: egg_beater
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: eraser
119
+ level1: stationery
120
+ level2: eraser
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: chewing_gum
125
+ level1: snacks
126
+ level2: chewing_gum
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: mentholatum_facial_cleanser
131
+ level1: daily_chemical_products
132
+ level2: mentholatum_facial_cleanser
133
+ level3: null
134
+ level4: null
135
+ level5: null
136
+ - object_name: green_lemon
137
+ level1: fruits
138
+ level2: green_lemon
139
+ level3: null
140
+ level4: null
141
+ level5: null
142
+ - object_name: peach
143
+ level1: fruits
144
+ level2: peach
145
+ level3: null
146
+ level4: null
147
+ level5: null
148
+ - object_name: power_strip
149
+ level1: electrical_control_equipment
150
+ level2: power_strip
151
+ level3: null
152
+ level4: null
153
+ level5: null
154
+ - object_name: round_bread
155
+ level1: bread
156
+ level2: round_bread
157
+ level3: null
158
+ level4: null
159
+ level5: null
160
+ - object_name: mentholatum_facial_cleanser
161
+ level1: daily_chemical_products
162
+ level2: mentholatum_facial_cleanser
163
+ level3: null
164
+ level4: null
165
+ level5: null
166
+ - object_name: square_building_blocks
167
+ level1: toys
168
+ level2: square_building_blocks
169
+ level3: null
170
+ level4: null
171
+ level5: null
172
+ - object_name: tape
173
+ level1: stationery
174
+ level2: tape
175
+ level3: null
176
+ level4: null
177
+ level5: null
178
+ - object_name: cake
179
+ level1: bread
180
+ level2: cake
181
+ level3: null
182
+ level4: null
183
+ level5: null
184
+ - object_name: duck
185
+ level1: doll
186
+ level2: duck
187
+ level3: null
188
+ level4: null
189
+ level5: null
190
+ - object_name: ambrosial_yogurt
191
+ level1: beverages
192
+ level2: ambrosial_yogurt
193
+ level3: null
194
+ level4: null
195
+ level5: null
196
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
197
+ the operation type information.
198
+ task_instruction:
199
+ - use a gripper to pick the target object and place on the dish.
200
+ sub_tasks:
201
+ - subtask: Grasp the blue pot with the left gripper
202
+ subtask_index: 0
203
+ - subtask: Place the back scratcher on the dish with the right gripper
204
+ subtask_index: 1
205
+ - subtask: Grasp the plugboard with the left gripper
206
+ subtask_index: 2
207
+ - subtask: Place the soft facial cleanser on the dish with the right gripper
208
+ subtask_index: 3
209
+ - subtask: Grasp the potato chips with the right gripper
210
+ subtask_index: 4
211
+ - subtask: Grasp the banana with the left gripper
212
+ subtask_index: 5
213
+ - subtask: Grasp the compasses with the right gripper
214
+ subtask_index: 6
215
+ - subtask: Grasp the duck toy with the left gripper
216
+ subtask_index: 7
217
+ - subtask: Place the round bread on the dish with the left gripper
218
+ subtask_index: 8
219
+ - subtask: Grasp the blue cup with the left gripper
220
+ subtask_index: 9
221
+ - subtask: Place the compasses on the dish with the right gripper
222
+ subtask_index: 10
223
+ - subtask: Place the duck toy on the dish with the right gripper
224
+ subtask_index: 11
225
+ - subtask: Place the round wooden block on the dish with the right gripper
226
+ subtask_index: 12
227
+ - subtask: Place the green lemon on the dish with the right gripper
228
+ subtask_index: 13
229
+ - subtask: Grasp the back scratcher with the right gripper
230
+ subtask_index: 14
231
+ - subtask: Grasp the square chewing gum with the left gripper
232
+ subtask_index: 15
233
+ - subtask: Grasp the chocolate cake with the right gripper
234
+ subtask_index: 16
235
+ - subtask: Grasp the shower sphere with the left gripper
236
+ subtask_index: 17
237
+ - subtask: Place the peach on the dish with the left gripper
238
+ subtask_index: 18
239
+ - subtask: Grasp the plugboard with the right gripper
240
+ subtask_index: 19
241
+ - subtask: Grasp the tin with the left gripper
242
+ subtask_index: 20
243
+ - subtask: Grasp the brown towel with the left gripper
244
+ subtask_index: 21
245
+ - subtask: Place the brown towel on the dish with the right gripper
246
+ subtask_index: 22
247
+ - subtask: Grasp the hard facial cleanser with the left gripper
248
+ subtask_index: 23
249
+ - subtask: Place the plugboard on the dish with the right gripper
250
+ subtask_index: 24
251
+ - subtask: Grasp the peach with the right gripper
252
+ subtask_index: 25
253
+ - subtask: Grasp the brown towel with the right gripper
254
+ subtask_index: 26
255
+ - subtask: Place the coke on the dish with the right gripper
256
+ subtask_index: 27
257
+ - subtask: Place the banana on the dish with the left gripper
258
+ subtask_index: 28
259
+ - subtask: Place the peach on the dish with the right gripper
260
+ subtask_index: 29
261
+ - subtask: Grasp the hard facial cleanser with the right gripper
262
+ subtask_index: 30
263
+ - subtask: Place the potato chips on the dish with the right gripper
264
+ subtask_index: 31
265
+ - subtask: Grasp the peach with the left gripper
266
+ subtask_index: 32
267
+ - subtask: Grasp the green lemon with the right gripper
268
+ subtask_index: 33
269
+ - subtask: Place the chocolate cake on the dish with the right gripper
270
+ subtask_index: 34
271
+ - subtask: Place the plugboard on the dish with the left gripper
272
+ subtask_index: 35
273
+ - subtask: Grasp the bread slice with the right gripper
274
+ subtask_index: 36
275
+ - subtask: Place the square chewing gum on the dish with the right gripper
276
+ subtask_index: 37
277
+ - subtask: Grasp the duck toy with the right gripper
278
+ subtask_index: 38
279
+ - subtask: End
280
+ subtask_index: 39
281
+ - subtask: Place the blackboard erasure on the dish with the left gripper
282
+ subtask_index: 40
283
+ - subtask: Grasp the blackboard erasure with the left gripper
284
+ subtask_index: 41
285
+ - subtask: Grasp the coke with the left gripper
286
+ subtask_index: 42
287
+ - subtask: Place the tape on the dish with the right gripper
288
+ subtask_index: 43
289
+ - subtask: Place the bread slice on the dish with the right gripper
290
+ subtask_index: 44
291
+ - subtask: Place the shower sphere on the dish with the right gripper
292
+ subtask_index: 45
293
+ - subtask: Grasp the round wooden block with the left gripper
294
+ subtask_index: 46
295
+ - subtask: Grasp the compasses with the left gripper
296
+ subtask_index: 47
297
+ - subtask: Place the banana on the dish with the right gripper
298
+ subtask_index: 48
299
+ - subtask: Grasp the blue pot with the right gripper
300
+ subtask_index: 49
301
+ - subtask: Grasp the round bread with the right gripper
302
+ subtask_index: 50
303
+ - subtask: Grasp the chocolate cake with the left gripper
304
+ subtask_index: 51
305
+ - subtask: Place the square chewing gum on the dish with the left gripper
306
+ subtask_index: 52
307
+ - subtask: Place the blue cup on the dish with the right gripper
308
+ subtask_index: 53
309
+ - subtask: Place the hard facial cleanser on the dish with the right gripper
310
+ subtask_index: 54
311
+ - subtask: Place the blue cup on the dish with the left gripper
312
+ subtask_index: 55
313
+ - subtask: Grasp the tape with the right gripper
314
+ subtask_index: 56
315
+ - subtask: Place the duck toy on the dish with the left gripper
316
+ subtask_index: 57
317
+ - subtask: Grasp the coke with the right gripper
318
+ subtask_index: 58
319
+ - subtask: Place the square wooden block on the dish with the right gripper
320
+ subtask_index: 59
321
+ - subtask: Grasp the square chewing gum with the right gripper
322
+ subtask_index: 60
323
+ - subtask: Place the round bread on the dish with the right gripper
324
+ subtask_index: 61
325
+ - subtask: Grasp the shower sphere with the right gripper
326
+ subtask_index: 62
327
+ - subtask: Place the brown towel on the dish with the left gripper
328
+ subtask_index: 63
329
+ - subtask: Place the bread slice on the dish with the left gripper
330
+ subtask_index: 64
331
+ - subtask: Grasp the bread slice with the left gripper
332
+ subtask_index: 65
333
+ - subtask: Grasp the yogurt with the left gripper
334
+ subtask_index: 66
335
+ - subtask: Place the blue pot on the dish with the left gripper
336
+ subtask_index: 67
337
+ - subtask: Grasp the blackboard erasure with the right gripper
338
+ subtask_index: 68
339
+ - subtask: Place the coke on the dish with the left gripper
340
+ subtask_index: 69
341
+ - subtask: Place the square wooden block on the dish with the left gripper
342
+ subtask_index: 70
343
+ - subtask: Place the yogurt on the dish with the left gripper
344
+ subtask_index: 71
345
+ - subtask: Place the chocolate cake on the dish with the left gripper
346
+ subtask_index: 72
347
+ - subtask: Place the compasses on the dish with the left gripper
348
+ subtask_index: 73
349
+ - subtask: Place the round wooden block on the dish with the left gripper
350
+ subtask_index: 74
351
+ - subtask: Place the chocolate on the dish with the left gripper
352
+ subtask_index: 75
353
+ - subtask: Grasp the round bread with the left gripper
354
+ subtask_index: 76
355
+ - subtask: Grasp the chocolate with the left gripper
356
+ subtask_index: 77
357
+ - subtask: Grasp the square wooden block with the left gripper
358
+ subtask_index: 78
359
+ - subtask: Grasp the blue cup with the right gripper
360
+ subtask_index: 79
361
+ - subtask: Grasp the soft facial cleanser with the right gripper
362
+ subtask_index: 80
363
+ - subtask: Place the shower sphere on the dish with the left gripper
364
+ subtask_index: 81
365
+ - subtask: Place the tin on the dish with the left gripper
366
+ subtask_index: 82
367
+ - subtask: Grasp the square wooden block with the right gripper
368
+ subtask_index: 83
369
+ - subtask: Place the hard facial cleanser on the dish with the left gripper
370
+ subtask_index: 84
371
+ - subtask: Place the blackboard erasure on the dish with the right gripper
372
+ subtask_index: 85
373
+ - subtask: Place the blue pot on the dish with the right gripper
374
+ subtask_index: 86
375
+ - subtask: Grasp the round wooden block with the right gripper
376
+ subtask_index: 87
377
+ - subtask: Grasp the banana with the right gripper
378
+ subtask_index: 88
379
+ - subtask: 'null'
380
+ subtask_index: 89
381
+ atomic_actions:
382
+ - grasp
383
+ - pick
384
+ - place
385
+ robot_name:
386
+ - Galaxea_R1_Lite
387
+ end_effector_type: two_finger_gripper
388
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
389
+ type information.
390
+ sensor_list:
391
+ - cam_head_left_rgb
392
+ - cam_head_right_rgb
393
+ - cam_left_wrist_rgb
394
+ - cam_right_wrist_rgb
395
+ came_info:
396
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
397
+ pix_fmt=yuv420p
398
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
399
+ pix_fmt=yuv420p
400
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
401
+ pix_fmt=yuv420p
402
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
403
+ pix_fmt=yuv420p
404
+ depth_enabled: false
405
+ coordinate_definition: right-hand-frame
406
+ joint_rotation_dim: radian
407
+ end_rotation_dim: end_rotation_dim
408
+ end_translation_dim: end_translation_dim
409
+ annotations:
410
+ - eef_acc_mag_annotation.jsonl
411
+ - eef_direction_annotation.jsonl
412
+ - eef_velocity_annotation.jsonl
413
+ - gripper_activity_annotation.jsonl
414
+ - gripper_mode_annotation.jsonl
415
+ - scene_annotations.jsonl
416
+ - subtask_annotations.jsonl
417
+ statistics:
418
+ total_episodes: 101
419
+ total_frames: 26346
420
+ fps: 30
421
+ total_tasks: 90
422
+ total_videos: 404
423
+ total_chunks: 1
424
+ chunks_size: 1000
425
+ state_dim: 14
426
+ action_dim: 14
427
+ camera_views: 4
428
+ dataset_size: 993.15 MB
429
+ frame_num: 26346
430
+ dataset_size: 993.15 MB
431
+ data_structure: 'Galaxea_R1_Lite_storage_object_dish_qced_hardlink/
432
+
433
+ |-- annotations
434
+
435
+ | |-- eef_acc_mag_annotation.jsonl
436
+
437
+ | |-- eef_direction_annotation.jsonl
438
+
439
+ | |-- eef_velocity_annotation.jsonl
440
+
441
+ | |-- gripper_activity_annotation.jsonl
442
+
443
+ | |-- gripper_mode_annotation.jsonl
444
+
445
+ | |-- scene_annotations.jsonl
446
+
447
+ | `-- subtask_annotations.jsonl
448
+
449
+ |-- data
450
+
451
+ | `-- chunk-000
452
+
453
+ | |-- episode_000000.parquet
454
+
455
+ | |-- episode_000001.parquet
456
+
457
+ | |-- episode_000002.parquet
458
+
459
+ | |-- episode_000003.parquet
460
+
461
+ | |-- episode_000004.parquet
462
+
463
+ | |-- episode_000005.parquet
464
+
465
+ | |-- episode_000006.parquet
466
+
467
+ | |-- episode_000007.parquet
468
+
469
+ | |-- episode_000008.parquet
470
+
471
+ | |-- episode_000009.parquet
472
+
473
+ | |-- episode_000010.parquet
474
+
475
+ | `-- episode_000011.parquet
476
+
477
+ | `-- ... (89 more entries)
478
+
479
+ |-- meta
480
+
481
+ | |-- episodes.jsonl
482
+
483
+ | |-- episodes_stats.jsonl
484
+
485
+ | |-- info.json
486
+
487
+ | `-- tasks.jsonl
488
+
489
+ |-- videos
490
+
491
+ | `-- chunk-000
492
+
493
+ | |-- observation.images.cam_head_left_rgb
494
+
495
+ | |-- observation.images.cam_head_right_rgb
496
+
497
+ | |-- observation.images.cam_left_wrist_rgb
498
+
499
+ | `-- observation.images.cam_right_wrist_rgb
500
+
501
+ |-- info.yaml
502
+
503
+ `-- README.md'
504
+ splits:
505
+ train: 0:100
506
+ features:
507
+ observation.images.cam_head_left_rgb:
508
+ dtype: video
509
+ shape:
510
+ - 720
511
+ - 1280
512
+ - 3
513
+ names:
514
+ - height
515
+ - width
516
+ - channels
517
+ info:
518
+ video.height: 720
519
+ video.width: 1280
520
+ video.codec: av1
521
+ video.pix_fmt: yuv420p
522
+ video.is_depth_map: false
523
+ video.fps: 30
524
+ video.channels: 3
525
+ has_audio: false
526
+ observation.images.cam_head_right_rgb:
527
+ dtype: video
528
+ shape:
529
+ - 720
530
+ - 1280
531
+ - 3
532
+ names:
533
+ - height
534
+ - width
535
+ - channels
536
+ info:
537
+ video.height: 720
538
+ video.width: 1280
539
+ video.codec: av1
540
+ video.pix_fmt: yuv420p
541
+ video.is_depth_map: false
542
+ video.fps: 30
543
+ video.channels: 3
544
+ has_audio: false
545
+ observation.images.cam_left_wrist_rgb:
546
+ dtype: video
547
+ shape:
548
+ - 720
549
+ - 1280
550
+ - 3
551
+ names:
552
+ - height
553
+ - width
554
+ - channels
555
+ info:
556
+ video.height: 720
557
+ video.width: 1280
558
+ video.codec: av1
559
+ video.pix_fmt: yuv420p
560
+ video.is_depth_map: false
561
+ video.fps: 30
562
+ video.channels: 3
563
+ has_audio: false
564
+ observation.images.cam_right_wrist_rgb:
565
+ dtype: video
566
+ shape:
567
+ - 720
568
+ - 1280
569
+ - 3
570
+ names:
571
+ - height
572
+ - width
573
+ - channels
574
+ info:
575
+ video.height: 720
576
+ video.width: 1280
577
+ video.codec: av1
578
+ video.pix_fmt: yuv420p
579
+ video.is_depth_map: false
580
+ video.fps: 30
581
+ video.channels: 3
582
+ has_audio: false
583
+ observation.state:
584
+ dtype: float32
585
+ shape:
586
+ - 14
587
+ names:
588
+ - left_arm_joint_1_rad
589
+ - left_arm_joint_2_rad
590
+ - left_arm_joint_3_rad
591
+ - left_arm_joint_4_rad
592
+ - left_arm_joint_5_rad
593
+ - left_arm_joint_6_rad
594
+ - right_arm_joint_1_rad
595
+ - right_arm_joint_2_rad
596
+ - right_arm_joint_3_rad
597
+ - right_arm_joint_4_rad
598
+ - right_arm_joint_5_rad
599
+ - right_arm_joint_6_rad
600
+ - left_gripper_open
601
+ - right_gripper_open
602
+ action:
603
+ dtype: float32
604
+ shape:
605
+ - 14
606
+ names:
607
+ - left_arm_joint_1_rad
608
+ - left_arm_joint_2_rad
609
+ - left_arm_joint_3_rad
610
+ - left_arm_joint_4_rad
611
+ - left_arm_joint_5_rad
612
+ - left_arm_joint_6_rad
613
+ - right_arm_joint_1_rad
614
+ - right_arm_joint_2_rad
615
+ - right_arm_joint_3_rad
616
+ - right_arm_joint_4_rad
617
+ - right_arm_joint_5_rad
618
+ - right_arm_joint_6_rad
619
+ - left_gripper_open
620
+ - right_gripper_open
621
+ timestamp:
622
+ dtype: float32
623
+ shape:
624
+ - 1
625
+ names: null
626
+ frame_index:
627
+ dtype: int64
628
+ shape:
629
+ - 1
630
+ names: null
631
+ episode_index:
632
+ dtype: int64
633
+ shape:
634
+ - 1
635
+ names: null
636
+ index:
637
+ dtype: int64
638
+ shape:
639
+ - 1
640
+ names: null
641
+ task_index:
642
+ dtype: int64
643
+ shape:
644
+ - 1
645
+ names: null
646
+ subtask_annotation:
647
+ names: null
648
+ shape:
649
+ - 5
650
+ dtype: int32
651
+ scene_annotation:
652
+ names: null
653
+ shape:
654
+ - 1
655
+ dtype: int32
656
+ eef_sim_pose_state:
657
+ names:
658
+ - left_eef_pos_x
659
+ - left_eef_pos_y
660
+ - left_eef_pos_z
661
+ - left_eef_rot_x
662
+ - left_eef_rot_y
663
+ - left_eef_rot_z
664
+ - right_eef_pos_x
665
+ - right_eef_pos_y
666
+ - right_eef_pos_z
667
+ - right_eef_rot_x
668
+ - right_eef_rot_y
669
+ - right_eef_rot_z
670
+ shape:
671
+ - 12
672
+ dtype: float32
673
+ eef_sim_pose_action:
674
+ names:
675
+ - left_eef_pos_x
676
+ - left_eef_pos_y
677
+ - left_eef_pos_z
678
+ - left_eef_rot_x
679
+ - left_eef_rot_y
680
+ - left_eef_rot_z
681
+ - right_eef_pos_x
682
+ - right_eef_pos_y
683
+ - right_eef_pos_z
684
+ - right_eef_rot_x
685
+ - right_eef_rot_y
686
+ - right_eef_rot_z
687
+ shape:
688
+ - 12
689
+ dtype: float32
690
+ eef_direction_state:
691
+ names:
692
+ - left_eef_direction
693
+ - right_eef_direction
694
+ shape:
695
+ - 2
696
+ dtype: int32
697
+ eef_direction_action:
698
+ names:
699
+ - left_eef_direction
700
+ - right_eef_direction
701
+ shape:
702
+ - 2
703
+ dtype: int32
704
+ eef_velocity_state:
705
+ names:
706
+ - left_eef_velocity
707
+ - right_eef_velocity
708
+ shape:
709
+ - 2
710
+ dtype: int32
711
+ eef_velocity_action:
712
+ names:
713
+ - left_eef_velocity
714
+ - right_eef_velocity
715
+ shape:
716
+ - 2
717
+ dtype: int32
718
+ eef_acc_mag_state:
719
+ names:
720
+ - left_eef_acc_mag
721
+ - right_eef_acc_mag
722
+ shape:
723
+ - 2
724
+ dtype: int32
725
+ eef_acc_mag_action:
726
+ names:
727
+ - left_eef_acc_mag
728
+ - right_eef_acc_mag
729
+ shape:
730
+ - 2
731
+ dtype: int32
732
+ gripper_open_scale_state:
733
+ names:
734
+ - left_gripper_open_scale
735
+ - right_gripper_open_scale
736
+ shape:
737
+ - 2
738
+ dtype: float32
739
+ gripper_open_scale_action:
740
+ names:
741
+ - left_gripper_open_scale
742
+ - right_gripper_open_scale
743
+ shape:
744
+ - 2
745
+ dtype: float32
746
+ gripper_mode_state:
747
+ names:
748
+ - left_gripper_mode
749
+ - right_gripper_mode
750
+ shape:
751
+ - 2
752
+ dtype: int32
753
+ gripper_mode_action:
754
+ names:
755
+ - left_gripper_mode
756
+ - right_gripper_mode
757
+ shape:
758
+ - 2
759
+ dtype: int32
760
+ gripper_activity_state:
761
+ names:
762
+ - left_gripper_activity
763
+ - right_gripper_activity
764
+ shape:
765
+ - 2
766
+ dtype: int32
767
+ gripper_activity_action:
768
+ names:
769
+ - left_gripper_activity
770
+ - right_gripper_activity
771
+ shape:
772
+ - 2
773
+ dtype: int32
774
+ authors:
775
+ contributed_by:
776
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
777
+ dataset_description: This dataset uses an extended format based on LeRobot and is
778
+ fully compatible with LeRobot.
779
+ homepage: https://flagopen.github.io/RoboCOIN/
780
+ paper: https://arxiv.org/abs/2511.17441
781
+ repository: https://github.com/FlagOpen/RoboCOIN
782
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
783
+ us.
784
+ support_info: For technical support, please open an issue on our GitHub repository.
785
+ license_details: apache-2.0
786
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
787
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
788
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
789
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
790
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
791
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
792
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
793
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
794
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
795
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
796
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
797
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
798
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
799
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
800
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
801
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
802
+ additional_citations: 'If you use this dataset, please also consider citing:
803
+
804
+ LeRobot Framework: https://github.com/huggingface/lerobot
805
+
806
+ '
807
+ version_info: Initial Release
808
+ data_path: data/chunk-{id}/episode_{id}.parquet
809
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
810
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
info/consolidated_datasets.json CHANGED
@@ -40362,6 +40362,1053 @@
40362
  "data_schema": "leju_robot_hotel_services_b_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)",
40363
  "structure": "leju_robot_hotel_services_b_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)"
40364
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
40365
  "Agilex_Cobot_Magic_close_drawer_upper": {
40366
  "task_categories": [
40367
  "robotics"
 
40362
  "data_schema": "leju_robot_hotel_services_b_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)",
40363
  "structure": "leju_robot_hotel_services_b_qced_hardlink/\n├── annotations/\n│ ├── eef_acc_mag_annotation.jsonl\n│ ├── eef_direction_annotation.jsonl\n│ ├── eef_velocity_annotation.jsonl\n│ ├── gripper_activity_annotation.jsonl\n│ ├── gripper_mode_annotation.jsonl\n│ └── (...)\n├── data/\n│ └── chunk-000/\n│ ├── episode_000000.parquet\n│ ├── episode_000001.parquet\n│ ├── episode_000002.parquet\n│ ├── episode_000003.parquet\n│ ├── episode_000004.parquet\n│ └── (...)\n├── meta/\n│ ├── episodes.jsonl\n│ ├── episodes_stats.jsonl\n│ ├── info.json\n│ └── tasks.jsonl\n└── videos/\n └── chunk-000/\n ├── observation.images.camera_head_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n ├── observation.images.camera_left_wrist_rgb/\n │ ├── episode_000000.mp4\n │ ├── episode_000001.mp4\n │ ├── episode_000002.mp4\n │ ├── episode_000003.mp4\n │ ├── episode_000004.mp4\n │ └── (...)\n └── observation.images.camera_right_wrist_rgb/\n ├── episode_000000.mp4\n ├── episode_000001.mp4\n ├── episode_000002.mp4\n ├── episode_000003.mp4\n ├── episode_000004.mp4\n └── (...)"
40364
  },
40365
+ "Galaxea_R1_Lite_storage_object_dish": {
40366
+ "task_categories": [
40367
+ "robotics"
40368
+ ],
40369
+ "language": [
40370
+ "en"
40371
+ ],
40372
+ "tags": [
40373
+ "RoboCOIN",
40374
+ "LeRobot"
40375
+ ],
40376
+ "license": "apache-2.0",
40377
+ "configs": [
40378
+ {
40379
+ "config_name": "default",
40380
+ "data_files": "data/chunk-{id}/episode_{id}.parquet"
40381
+ }
40382
+ ],
40383
+ "extra_gated_prompt": "By accessing this dataset, you agree to cite the associated paper in your research/publications—see the \"Citation\" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.",
40384
+ "extra_gated_fields": {
40385
+ "Company/Organization": {
40386
+ "type": "text",
40387
+ "description": "e.g., \"ETH Zurich\", \"Boston Dynamics\", \"Independent Researcher\""
40388
+ },
40389
+ "Country": {
40390
+ "type": "country",
40391
+ "description": "e.g., \"Germany\", \"China\", \"United States\""
40392
+ }
40393
+ },
40394
+ "codebase_version": "v2.1",
40395
+ "dataset_name": "Galaxea_R1_Lite_storage_object_dish",
40396
+ "dataset_uuid": "00000000-0000-0000-0000-000000000000",
40397
+ "scene_type": {
40398
+ "level1": "household",
40399
+ "level2": "living_room",
40400
+ "level3": null,
40401
+ "level4": null,
40402
+ "level5": null
40403
+ },
40404
+ "env_type": "Due to some reasons, this dataset temporarily cannot provide the environment type information.",
40405
+ "objects": [
40406
+ {
40407
+ "object_name": "dish",
40408
+ "level1": "plates",
40409
+ "level2": "dish",
40410
+ "level3": null,
40411
+ "level4": null,
40412
+ "level5": null
40413
+ },
40414
+ {
40415
+ "object_name": "banana",
40416
+ "level1": "fruits",
40417
+ "level2": "banana",
40418
+ "level3": null,
40419
+ "level4": null,
40420
+ "level5": null
40421
+ },
40422
+ {
40423
+ "object_name": "bathing_in_flowers",
40424
+ "level1": "daily_necessities",
40425
+ "level2": "bathing_in_flowers",
40426
+ "level3": null,
40427
+ "level4": null,
40428
+ "level5": null
40429
+ },
40430
+ {
40431
+ "object_name": "blue_cup",
40432
+ "level1": "cups",
40433
+ "level2": "blue_cup",
40434
+ "level3": null,
40435
+ "level4": null,
40436
+ "level5": null
40437
+ },
40438
+ {
40439
+ "object_name": "blue_pot",
40440
+ "level1": "kitchen_supplies",
40441
+ "level2": "blue_pot",
40442
+ "level3": null,
40443
+ "level4": null,
40444
+ "level5": null
40445
+ },
40446
+ {
40447
+ "object_name": "toast_slices",
40448
+ "level1": "bread",
40449
+ "level2": "toast_slices",
40450
+ "level3": null,
40451
+ "level4": null,
40452
+ "level5": null
40453
+ },
40454
+ {
40455
+ "object_name": "brown_towel",
40456
+ "level1": "towels",
40457
+ "level2": "brown_towel",
40458
+ "level3": null,
40459
+ "level4": null,
40460
+ "level5": null
40461
+ },
40462
+ {
40463
+ "object_name": "can",
40464
+ "level1": "snacks",
40465
+ "level2": "can",
40466
+ "level3": null,
40467
+ "level4": null,
40468
+ "level5": null
40469
+ },
40470
+ {
40471
+ "object_name": "coke",
40472
+ "level1": "beverages",
40473
+ "level2": "coke",
40474
+ "level3": null,
40475
+ "level4": null,
40476
+ "level5": null
40477
+ },
40478
+ {
40479
+ "object_name": "potato_chips",
40480
+ "level1": "snacks",
40481
+ "level2": "potato_chips",
40482
+ "level3": null,
40483
+ "level4": null,
40484
+ "level5": null
40485
+ },
40486
+ {
40487
+ "object_name": "chocolate",
40488
+ "level1": "snacks",
40489
+ "level2": "chocolate",
40490
+ "level3": null,
40491
+ "level4": null,
40492
+ "level5": null
40493
+ },
40494
+ {
40495
+ "object_name": "compass",
40496
+ "level1": "stationery",
40497
+ "level2": "compass",
40498
+ "level3": null,
40499
+ "level4": null,
40500
+ "level5": null
40501
+ },
40502
+ {
40503
+ "object_name": "block_pillar",
40504
+ "level1": "toys",
40505
+ "level2": "block_pillar",
40506
+ "level3": null,
40507
+ "level4": null,
40508
+ "level5": null
40509
+ },
40510
+ {
40511
+ "object_name": "egg_beater",
40512
+ "level1": "kitchen_supplies",
40513
+ "level2": "egg_beater",
40514
+ "level3": null,
40515
+ "level4": null,
40516
+ "level5": null
40517
+ },
40518
+ {
40519
+ "object_name": "eraser",
40520
+ "level1": "stationery",
40521
+ "level2": "eraser",
40522
+ "level3": null,
40523
+ "level4": null,
40524
+ "level5": null
40525
+ },
40526
+ {
40527
+ "object_name": "chewing_gum",
40528
+ "level1": "snacks",
40529
+ "level2": "chewing_gum",
40530
+ "level3": null,
40531
+ "level4": null,
40532
+ "level5": null
40533
+ },
40534
+ {
40535
+ "object_name": "mentholatum_facial_cleanser",
40536
+ "level1": "daily_chemical_products",
40537
+ "level2": "mentholatum_facial_cleanser",
40538
+ "level3": null,
40539
+ "level4": null,
40540
+ "level5": null
40541
+ },
40542
+ {
40543
+ "object_name": "green_lemon",
40544
+ "level1": "fruits",
40545
+ "level2": "green_lemon",
40546
+ "level3": null,
40547
+ "level4": null,
40548
+ "level5": null
40549
+ },
40550
+ {
40551
+ "object_name": "peach",
40552
+ "level1": "fruits",
40553
+ "level2": "peach",
40554
+ "level3": null,
40555
+ "level4": null,
40556
+ "level5": null
40557
+ },
40558
+ {
40559
+ "object_name": "power_strip",
40560
+ "level1": "electrical_control_equipment",
40561
+ "level2": "power_strip",
40562
+ "level3": null,
40563
+ "level4": null,
40564
+ "level5": null
40565
+ },
40566
+ {
40567
+ "object_name": "round_bread",
40568
+ "level1": "bread",
40569
+ "level2": "round_bread",
40570
+ "level3": null,
40571
+ "level4": null,
40572
+ "level5": null
40573
+ },
40574
+ {
40575
+ "object_name": "mentholatum_facial_cleanser",
40576
+ "level1": "daily_chemical_products",
40577
+ "level2": "mentholatum_facial_cleanser",
40578
+ "level3": null,
40579
+ "level4": null,
40580
+ "level5": null
40581
+ },
40582
+ {
40583
+ "object_name": "square_building_blocks",
40584
+ "level1": "toys",
40585
+ "level2": "square_building_blocks",
40586
+ "level3": null,
40587
+ "level4": null,
40588
+ "level5": null
40589
+ },
40590
+ {
40591
+ "object_name": "tape",
40592
+ "level1": "stationery",
40593
+ "level2": "tape",
40594
+ "level3": null,
40595
+ "level4": null,
40596
+ "level5": null
40597
+ },
40598
+ {
40599
+ "object_name": "cake",
40600
+ "level1": "bread",
40601
+ "level2": "cake",
40602
+ "level3": null,
40603
+ "level4": null,
40604
+ "level5": null
40605
+ },
40606
+ {
40607
+ "object_name": "duck",
40608
+ "level1": "doll",
40609
+ "level2": "duck",
40610
+ "level3": null,
40611
+ "level4": null,
40612
+ "level5": null
40613
+ },
40614
+ {
40615
+ "object_name": "ambrosial_yogurt",
40616
+ "level1": "beverages",
40617
+ "level2": "ambrosial_yogurt",
40618
+ "level3": null,
40619
+ "level4": null,
40620
+ "level5": null
40621
+ }
40622
+ ],
40623
+ "task_operation_type": "Due to some reasons, this dataset temporarily cannot provide the operation type information.",
40624
+ "task_instruction": [
40625
+ "use a gripper to pick the target object and place on the dish."
40626
+ ],
40627
+ "sub_tasks": [
40628
+ {
40629
+ "subtask": "Grasp the blue pot with the left gripper",
40630
+ "subtask_index": 0
40631
+ },
40632
+ {
40633
+ "subtask": "Place the back scratcher on the dish with the right gripper",
40634
+ "subtask_index": 1
40635
+ },
40636
+ {
40637
+ "subtask": "Grasp the plugboard with the left gripper",
40638
+ "subtask_index": 2
40639
+ },
40640
+ {
40641
+ "subtask": "Place the soft facial cleanser on the dish with the right gripper",
40642
+ "subtask_index": 3
40643
+ },
40644
+ {
40645
+ "subtask": "Grasp the potato chips with the right gripper",
40646
+ "subtask_index": 4
40647
+ },
40648
+ {
40649
+ "subtask": "Grasp the banana with the left gripper",
40650
+ "subtask_index": 5
40651
+ },
40652
+ {
40653
+ "subtask": "Grasp the compasses with the right gripper",
40654
+ "subtask_index": 6
40655
+ },
40656
+ {
40657
+ "subtask": "Grasp the duck toy with the left gripper",
40658
+ "subtask_index": 7
40659
+ },
40660
+ {
40661
+ "subtask": "Place the round bread on the dish with the left gripper",
40662
+ "subtask_index": 8
40663
+ },
40664
+ {
40665
+ "subtask": "Grasp the blue cup with the left gripper",
40666
+ "subtask_index": 9
40667
+ },
40668
+ {
40669
+ "subtask": "Place the compasses on the dish with the right gripper",
40670
+ "subtask_index": 10
40671
+ },
40672
+ {
40673
+ "subtask": "Place the duck toy on the dish with the right gripper",
40674
+ "subtask_index": 11
40675
+ },
40676
+ {
40677
+ "subtask": "Place the round wooden block on the dish with the right gripper",
40678
+ "subtask_index": 12
40679
+ },
40680
+ {
40681
+ "subtask": "Place the green lemon on the dish with the right gripper",
40682
+ "subtask_index": 13
40683
+ },
40684
+ {
40685
+ "subtask": "Grasp the back scratcher with the right gripper",
40686
+ "subtask_index": 14
40687
+ },
40688
+ {
40689
+ "subtask": "Grasp the square chewing gum with the left gripper",
40690
+ "subtask_index": 15
40691
+ },
40692
+ {
40693
+ "subtask": "Grasp the chocolate cake with the right gripper",
40694
+ "subtask_index": 16
40695
+ },
40696
+ {
40697
+ "subtask": "Grasp the shower sphere with the left gripper",
40698
+ "subtask_index": 17
40699
+ },
40700
+ {
40701
+ "subtask": "Place the peach on the dish with the left gripper",
40702
+ "subtask_index": 18
40703
+ },
40704
+ {
40705
+ "subtask": "Grasp the plugboard with the right gripper",
40706
+ "subtask_index": 19
40707
+ },
40708
+ {
40709
+ "subtask": "Grasp the tin with the left gripper",
40710
+ "subtask_index": 20
40711
+ },
40712
+ {
40713
+ "subtask": "Grasp the brown towel with the left gripper",
40714
+ "subtask_index": 21
40715
+ },
40716
+ {
40717
+ "subtask": "Place the brown towel on the dish with the right gripper",
40718
+ "subtask_index": 22
40719
+ },
40720
+ {
40721
+ "subtask": "Grasp the hard facial cleanser with the left gripper",
40722
+ "subtask_index": 23
40723
+ },
40724
+ {
40725
+ "subtask": "Place the plugboard on the dish with the right gripper",
40726
+ "subtask_index": 24
40727
+ },
40728
+ {
40729
+ "subtask": "Grasp the peach with the right gripper",
40730
+ "subtask_index": 25
40731
+ },
40732
+ {
40733
+ "subtask": "Grasp the brown towel with the right gripper",
40734
+ "subtask_index": 26
40735
+ },
40736
+ {
40737
+ "subtask": "Place the coke on the dish with the right gripper",
40738
+ "subtask_index": 27
40739
+ },
40740
+ {
40741
+ "subtask": "Place the banana on the dish with the left gripper",
40742
+ "subtask_index": 28
40743
+ },
40744
+ {
40745
+ "subtask": "Place the peach on the dish with the right gripper",
40746
+ "subtask_index": 29
40747
+ },
40748
+ {
40749
+ "subtask": "Grasp the hard facial cleanser with the right gripper",
40750
+ "subtask_index": 30
40751
+ },
40752
+ {
40753
+ "subtask": "Place the potato chips on the dish with the right gripper",
40754
+ "subtask_index": 31
40755
+ },
40756
+ {
40757
+ "subtask": "Grasp the peach with the left gripper",
40758
+ "subtask_index": 32
40759
+ },
40760
+ {
40761
+ "subtask": "Grasp the green lemon with the right gripper",
40762
+ "subtask_index": 33
40763
+ },
40764
+ {
40765
+ "subtask": "Place the chocolate cake on the dish with the right gripper",
40766
+ "subtask_index": 34
40767
+ },
40768
+ {
40769
+ "subtask": "Place the plugboard on the dish with the left gripper",
40770
+ "subtask_index": 35
40771
+ },
40772
+ {
40773
+ "subtask": "Grasp the bread slice with the right gripper",
40774
+ "subtask_index": 36
40775
+ },
40776
+ {
40777
+ "subtask": "Place the square chewing gum on the dish with the right gripper",
40778
+ "subtask_index": 37
40779
+ },
40780
+ {
40781
+ "subtask": "Grasp the duck toy with the right gripper",
40782
+ "subtask_index": 38
40783
+ },
40784
+ {
40785
+ "subtask": "End",
40786
+ "subtask_index": 39
40787
+ },
40788
+ {
40789
+ "subtask": "Place the blackboard erasure on the dish with the left gripper",
40790
+ "subtask_index": 40
40791
+ },
40792
+ {
40793
+ "subtask": "Grasp the blackboard erasure with the left gripper",
40794
+ "subtask_index": 41
40795
+ },
40796
+ {
40797
+ "subtask": "Grasp the coke with the left gripper",
40798
+ "subtask_index": 42
40799
+ },
40800
+ {
40801
+ "subtask": "Place the tape on the dish with the right gripper",
40802
+ "subtask_index": 43
40803
+ },
40804
+ {
40805
+ "subtask": "Place the bread slice on the dish with the right gripper",
40806
+ "subtask_index": 44
40807
+ },
40808
+ {
40809
+ "subtask": "Place the shower sphere on the dish with the right gripper",
40810
+ "subtask_index": 45
40811
+ },
40812
+ {
40813
+ "subtask": "Grasp the round wooden block with the left gripper",
40814
+ "subtask_index": 46
40815
+ },
40816
+ {
40817
+ "subtask": "Grasp the compasses with the left gripper",
40818
+ "subtask_index": 47
40819
+ },
40820
+ {
40821
+ "subtask": "Place the banana on the dish with the right gripper",
40822
+ "subtask_index": 48
40823
+ },
40824
+ {
40825
+ "subtask": "Grasp the blue pot with the right gripper",
40826
+ "subtask_index": 49
40827
+ },
40828
+ {
40829
+ "subtask": "Grasp the round bread with the right gripper",
40830
+ "subtask_index": 50
40831
+ },
40832
+ {
40833
+ "subtask": "Grasp the chocolate cake with the left gripper",
40834
+ "subtask_index": 51
40835
+ },
40836
+ {
40837
+ "subtask": "Place the square chewing gum on the dish with the left gripper",
40838
+ "subtask_index": 52
40839
+ },
40840
+ {
40841
+ "subtask": "Place the blue cup on the dish with the right gripper",
40842
+ "subtask_index": 53
40843
+ },
40844
+ {
40845
+ "subtask": "Place the hard facial cleanser on the dish with the right gripper",
40846
+ "subtask_index": 54
40847
+ },
40848
+ {
40849
+ "subtask": "Place the blue cup on the dish with the left gripper",
40850
+ "subtask_index": 55
40851
+ },
40852
+ {
40853
+ "subtask": "Grasp the tape with the right gripper",
40854
+ "subtask_index": 56
40855
+ },
40856
+ {
40857
+ "subtask": "Place the duck toy on the dish with the left gripper",
40858
+ "subtask_index": 57
40859
+ },
40860
+ {
40861
+ "subtask": "Grasp the coke with the right gripper",
40862
+ "subtask_index": 58
40863
+ },
40864
+ {
40865
+ "subtask": "Place the square wooden block on the dish with the right gripper",
40866
+ "subtask_index": 59
40867
+ },
40868
+ {
40869
+ "subtask": "Grasp the square chewing gum with the right gripper",
40870
+ "subtask_index": 60
40871
+ },
40872
+ {
40873
+ "subtask": "Place the round bread on the dish with the right gripper",
40874
+ "subtask_index": 61
40875
+ },
40876
+ {
40877
+ "subtask": "Grasp the shower sphere with the right gripper",
40878
+ "subtask_index": 62
40879
+ },
40880
+ {
40881
+ "subtask": "Place the brown towel on the dish with the left gripper",
40882
+ "subtask_index": 63
40883
+ },
40884
+ {
40885
+ "subtask": "Place the bread slice on the dish with the left gripper",
40886
+ "subtask_index": 64
40887
+ },
40888
+ {
40889
+ "subtask": "Grasp the bread slice with the left gripper",
40890
+ "subtask_index": 65
40891
+ },
40892
+ {
40893
+ "subtask": "Grasp the yogurt with the left gripper",
40894
+ "subtask_index": 66
40895
+ },
40896
+ {
40897
+ "subtask": "Place the blue pot on the dish with the left gripper",
40898
+ "subtask_index": 67
40899
+ },
40900
+ {
40901
+ "subtask": "Grasp the blackboard erasure with the right gripper",
40902
+ "subtask_index": 68
40903
+ },
40904
+ {
40905
+ "subtask": "Place the coke on the dish with the left gripper",
40906
+ "subtask_index": 69
40907
+ },
40908
+ {
40909
+ "subtask": "Place the square wooden block on the dish with the left gripper",
40910
+ "subtask_index": 70
40911
+ },
40912
+ {
40913
+ "subtask": "Place the yogurt on the dish with the left gripper",
40914
+ "subtask_index": 71
40915
+ },
40916
+ {
40917
+ "subtask": "Place the chocolate cake on the dish with the left gripper",
40918
+ "subtask_index": 72
40919
+ },
40920
+ {
40921
+ "subtask": "Place the compasses on the dish with the left gripper",
40922
+ "subtask_index": 73
40923
+ },
40924
+ {
40925
+ "subtask": "Place the round wooden block on the dish with the left gripper",
40926
+ "subtask_index": 74
40927
+ },
40928
+ {
40929
+ "subtask": "Place the chocolate on the dish with the left gripper",
40930
+ "subtask_index": 75
40931
+ },
40932
+ {
40933
+ "subtask": "Grasp the round bread with the left gripper",
40934
+ "subtask_index": 76
40935
+ },
40936
+ {
40937
+ "subtask": "Grasp the chocolate with the left gripper",
40938
+ "subtask_index": 77
40939
+ },
40940
+ {
40941
+ "subtask": "Grasp the square wooden block with the left gripper",
40942
+ "subtask_index": 78
40943
+ },
40944
+ {
40945
+ "subtask": "Grasp the blue cup with the right gripper",
40946
+ "subtask_index": 79
40947
+ },
40948
+ {
40949
+ "subtask": "Grasp the soft facial cleanser with the right gripper",
40950
+ "subtask_index": 80
40951
+ },
40952
+ {
40953
+ "subtask": "Place the shower sphere on the dish with the left gripper",
40954
+ "subtask_index": 81
40955
+ },
40956
+ {
40957
+ "subtask": "Place the tin on the dish with the left gripper",
40958
+ "subtask_index": 82
40959
+ },
40960
+ {
40961
+ "subtask": "Grasp the square wooden block with the right gripper",
40962
+ "subtask_index": 83
40963
+ },
40964
+ {
40965
+ "subtask": "Place the hard facial cleanser on the dish with the left gripper",
40966
+ "subtask_index": 84
40967
+ },
40968
+ {
40969
+ "subtask": "Place the blackboard erasure on the dish with the right gripper",
40970
+ "subtask_index": 85
40971
+ },
40972
+ {
40973
+ "subtask": "Place the blue pot on the dish with the right gripper",
40974
+ "subtask_index": 86
40975
+ },
40976
+ {
40977
+ "subtask": "Grasp the round wooden block with the right gripper",
40978
+ "subtask_index": 87
40979
+ },
40980
+ {
40981
+ "subtask": "Grasp the banana with the right gripper",
40982
+ "subtask_index": 88
40983
+ },
40984
+ {
40985
+ "subtask": "null",
40986
+ "subtask_index": 89
40987
+ }
40988
+ ],
40989
+ "atomic_actions": [
40990
+ "grasp",
40991
+ "pick",
40992
+ "place"
40993
+ ],
40994
+ "robot_name": [
40995
+ "Galaxea_R1_Lite"
40996
+ ],
40997
+ "end_effector_type": "two_finger_gripper",
40998
+ "tele_type": "Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.",
40999
+ "sensor_list": [
41000
+ "cam_head_left_rgb",
41001
+ "cam_head_right_rgb",
41002
+ "cam_left_wrist_rgb",
41003
+ "cam_right_wrist_rgb"
41004
+ ],
41005
+ "came_info": {
41006
+ "cam_head_left_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p",
41007
+ "cam_head_right_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p",
41008
+ "cam_left_wrist_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p",
41009
+ "cam_right_wrist_rgb": "dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1, pix_fmt=yuv420p"
41010
+ },
41011
+ "depth_enabled": false,
41012
+ "coordinate_definition": "right-hand-frame",
41013
+ "joint_rotation_dim": "radian",
41014
+ "end_rotation_dim": "end_rotation_dim",
41015
+ "end_translation_dim": "end_translation_dim",
41016
+ "annotations": [
41017
+ "eef_acc_mag_annotation.jsonl",
41018
+ "eef_direction_annotation.jsonl",
41019
+ "eef_velocity_annotation.jsonl",
41020
+ "gripper_activity_annotation.jsonl",
41021
+ "gripper_mode_annotation.jsonl",
41022
+ "scene_annotations.jsonl",
41023
+ "subtask_annotations.jsonl"
41024
+ ],
41025
+ "statistics": {
41026
+ "total_episodes": 101,
41027
+ "total_frames": 26346,
41028
+ "fps": 30,
41029
+ "total_tasks": 90,
41030
+ "total_videos": 404,
41031
+ "total_chunks": 1,
41032
+ "chunks_size": 1000,
41033
+ "state_dim": 14,
41034
+ "action_dim": 14,
41035
+ "camera_views": 4,
41036
+ "dataset_size": "993.15 MB"
41037
+ },
41038
+ "frame_num": 26346,
41039
+ "dataset_size": "993.15 MB",
41040
+ "data_structure": "Galaxea_R1_Lite_storage_object_dish_qced_hardlink/\n|-- annotations\n| |-- eef_acc_mag_annotation.jsonl\n| |-- eef_direction_annotation.jsonl\n| |-- eef_velocity_annotation.jsonl\n| |-- gripper_activity_annotation.jsonl\n| |-- gripper_mode_annotation.jsonl\n| |-- scene_annotations.jsonl\n| `-- subtask_annotations.jsonl\n|-- data\n| `-- chunk-000\n| |-- episode_000000.parquet\n| |-- episode_000001.parquet\n| |-- episode_000002.parquet\n| |-- episode_000003.parquet\n| |-- episode_000004.parquet\n| |-- episode_000005.parquet\n| |-- episode_000006.parquet\n| |-- episode_000007.parquet\n| |-- episode_000008.parquet\n| |-- episode_000009.parquet\n| |-- episode_000010.parquet\n| `-- episode_000011.parquet\n| `-- ... (89 more entries)\n|-- meta\n| |-- episodes.jsonl\n| |-- episodes_stats.jsonl\n| |-- info.json\n| `-- tasks.jsonl\n|-- videos\n| `-- chunk-000\n| |-- observation.images.cam_head_left_rgb\n| |-- observation.images.cam_head_right_rgb\n| |-- observation.images.cam_left_wrist_rgb\n| `-- observation.images.cam_right_wrist_rgb\n|-- info.yaml\n`-- README.md",
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+ "train": "0:100"
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41394
+ "name": "RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)"
41395
+ }
41396
+ ]
41397
+ },
41398
+ "dataset_description": "This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.",
41399
+ "homepage": "https://flagopen.github.io/RoboCOIN/",
41400
+ "paper": "https://arxiv.org/abs/2511.17441",
41401
+ "repository": "https://github.com/FlagOpen/RoboCOIN",
41402
+ "contact_info": "For questions, issues, or feedback regarding this dataset, please contact us.",
41403
+ "support_info": "For technical support, please open an issue on our GitHub repository.",
41404
+ "license_details": "apache-2.0",
41405
+ "citation_bibtex": "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n",
41406
+ "additional_citations": "If you use this dataset, please also consider citing:\nLeRobot Framework: https://github.com/huggingface/lerobot\n",
41407
+ "version_info": "Initial Release",
41408
+ "data_path": "data/chunk-{id}/episode_{id}.parquet",
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+ "video_path": "videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}",
41410
+ "video_url": "videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4"
41411
+ },
41412
  "Agilex_Cobot_Magic_close_drawer_upper": {
41413
  "task_categories": [
41414
  "robotics"
info/data_index.json CHANGED
@@ -259,6 +259,7 @@
259
  "G1edu-u3_stack_bowls",
260
  "G1edu-u3_tray_storage_lemon_a",
261
  "Galaxea_R1_Lite_pour_solid",
 
262
  "Galaxea_R1_Lite_storage_object_yellow_basket",
263
  "Galbot_g1_fold_clothe_b",
264
  "Galbot_g1_fold_clothe_c",
@@ -453,5 +454,5 @@
453
  "leju_robot_pass_the_cleaner_d",
454
  "leju_robot_pass_the_cleaner_e"
455
  ],
456
- "count": 452
457
  }
 
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",
 
454
  "leju_robot_pass_the_cleaner_d",
455
  "leju_robot_pass_the_cleaner_e"
456
  ],
457
+ "count": 453
458
  }
info/exclude.json CHANGED
@@ -1,12 +1,54 @@
1
  [
2
- "AIRBOT_MMK2_place_the_sponge_and_wet_wipes",
3
- "AIRBOT_MMK2_the_cup_is_placed_in_the_book",
4
- "Cobot_Magic_plate_storage_toy",
5
- "Cobot_Magic_take_down_the_cube_block",
6
- "leju_robot_box_storage_parcel_d",
7
- "leju_robot_box_storage_parcel_j",
8
- "leju_robot_box_storage_parcel_i",
9
- "leju_robot_box_storage_parcel_k",
10
- "leju_robot_box_storage_parcel_l",
11
- "G1edu-u3_basket_storage_apple_b"
12
- ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  [
2
+ "AIRBOT_MMK2_beauty_sponge_and_cake_to_place",
3
+ "AIRBOT_MMK2_building_block_storage",
4
+ "AgiBot-g1_battery_storage_c",
5
+ "AgiBot-g1_box_storage_part_a",
6
+ "AgiBot-g1_box_storage_tool",
7
+ "AgiBot-g1_mobile_accessory_storage_box_d",
8
+ "AgiBot-g1_picks_up_parts_b",
9
+ "Cobot_Magic_classification_of_fruits_and_vegetables_a",
10
+ "Cobot_Magic_desktop_organization",
11
+ "Cobot_Magic_drawer_storage_mineral_water",
12
+ "Cobot_Magic_food_packaging",
13
+ "Cobot_Magic_make_hamburger",
14
+ "Cobot_Magic_move_the_ball_and_the_cube_block",
15
+ "Cobot_Magic_open_the_shoebox",
16
+ "Cobot_Magic_pour_water_a",
17
+ "Cobot_Magic_vase_storage_flower",
18
+ "G1edu-u3_bowl_storage_grape_singletry",
19
+ "G1edu-u3_food_storage",
20
+ "G1edu-u3_plate_storage_doll",
21
+ "G1edu-u3_pullBowl_storage_bread_b",
22
+ "Galbot_g1_fold_clothe_b",
23
+ "Galbot_g1_fold_clothe_c",
24
+ "Galbot_g1_fold_clothe_e",
25
+ "Galbot_g1_steamer_storage_baozi_a",
26
+ "Galbot_g1_steamer_storage_baozi_b",
27
+ "Galbot_g1_steamer_storage_baozi_c",
28
+ "Galbot_g1_steamer_storage_baozi_d",
29
+ "Galbot_g1_steamer_storage_baozi_e",
30
+ "Galbot_g1_steamer_storage_baozi_f",
31
+ "Galbot_g1_steamer_storage_baozi_g",
32
+ "Galbot_g1_steamer_storage_baozi_h",
33
+ "Galbot_g1_steamer_storage_baozi_i",
34
+ "Galbot_g1_steamer_storage_baozi_j",
35
+ "R1_Lite_cook_a_meal",
36
+ "R1_Lite_drawer_storage_hair_dryer",
37
+ "R1_Lite_move_the_position_of_the_coffee_capsule",
38
+ "R1_Lite_move_the_position_of_the_soda",
39
+ "R1_Lite_open_and_close_microwave_oven",
40
+ "R1_Lite_pick_up_and_store_items",
41
+ "R1_Lite_put_slippers_into_floor_standing_shoe_cabinet",
42
+ "R1_Lite_take_clothes_out_of_the_washing_machine",
43
+ "R1_Lite_throw_out_the_trash",
44
+ "RMC-AIDA-L_box_up_down",
45
+ "RMC-AIDA-L_fold_shirt",
46
+ "Split_aloha_fold_the_pants",
47
+ "Split_aloha_pour_tea",
48
+ "Tianqin_A2_place_the_paper_box",
49
+ "leju_robot_box_storage_parcel_f",
50
+ "leju_robot_hotel_services_ah",
51
+ "leju_robot_moving_parts_o",
52
+ "leju_robot_moving_parts_s",
53
+ "leju_robot_moving_parts_t"
54
+ ]
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