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Update RoboCOIN assets

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dataset_info/Galaxea_R1_Lite_storage_object_yellow_basket.yaml ADDED
@@ -0,0 +1,818 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_yellow_basket
24
+ dataset_uuid: 00000000-0000-0000-0000-000000000000
25
+ scene_type:
26
+ level1: household
27
+ level2: living_room
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: yellow_basket
35
+ level1: basket
36
+ level2: yellow_basket
37
+ level3: null
38
+ level4: null
39
+ level5: null
40
+ - object_name: banana
41
+ level1: fruits
42
+ level2: banana
43
+ level3: null
44
+ level4: null
45
+ level5: null
46
+ - object_name: bathing_in_flowers
47
+ level1: daily_chemical_products
48
+ level2: bathing_in_flowers
49
+ level3: null
50
+ level4: null
51
+ level5: null
52
+ - object_name: blue_cup
53
+ level1: cups
54
+ level2: blue_cup
55
+ level3: null
56
+ level4: null
57
+ level5: null
58
+ - object_name: blue_pot
59
+ level1: cookware
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(slim_can)
83
+ level1: beverages
84
+ level2: coke(slim_can)
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: building_blocks
107
+ level1: toys
108
+ level2: building_blocks
109
+ level3: null
110
+ level4: null
111
+ level5: null
112
+ - object_name: egg_beater
113
+ level1: kitchen_supplies
114
+ level2: egg_beater
115
+ level3: null
116
+ level4: null
117
+ level5: null
118
+ - object_name: eraser
119
+ level1: stationery
120
+ level2: eraser
121
+ level3: null
122
+ level4: null
123
+ level5: null
124
+ - object_name: chewing_gum
125
+ level1: snacks
126
+ level2: chewing_gum
127
+ level3: null
128
+ level4: null
129
+ level5: null
130
+ - object_name: mentholatum_facial_cleanser
131
+ level1: daily_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_necessities
162
+ level2: mentholatum_facial_cleanser
163
+ level3: null
164
+ level4: null
165
+ level5: null
166
+ - object_name: square_building_blocks
167
+ level1: building_blocks
168
+ level2: square_building_blocks
169
+ level3: null
170
+ level4: null
171
+ level5: null
172
+ - object_name: tape
173
+ level1: stationery
174
+ level2: tape
175
+ level3: null
176
+ level4: null
177
+ level5: null
178
+ - object_name: cake
179
+ level1: food
180
+ level2: cake
181
+ level3: null
182
+ level4: null
183
+ level5: null
184
+ - object_name: duck
185
+ level1: toys
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 yellow basket.
200
+ sub_tasks:
201
+ - subtask: Grasp the blue pot with the left gripper
202
+ subtask_index: 0
203
+ - subtask: Grasp the plugboard with the left gripper
204
+ subtask_index: 1
205
+ - subtask: Place the round wooden block on the yellow basket with the left gripper
206
+ subtask_index: 2
207
+ - subtask: Grasp the potato chips with the right gripper
208
+ subtask_index: 3
209
+ - subtask: Place the tin on the yellow basket with the right gripper
210
+ subtask_index: 4
211
+ - subtask: Place the plugboard on the yellow basket with the left gripper
212
+ subtask_index: 5
213
+ - subtask: Place the peach on the yellow basket with the left gripper
214
+ subtask_index: 6
215
+ - subtask: Place the blue cup on the yellow basket with the right gripper
216
+ subtask_index: 7
217
+ - subtask: Place the brown towel on the yellow basket with the right gripper
218
+ subtask_index: 8
219
+ - subtask: Grasp the compasses with the right gripper
220
+ subtask_index: 9
221
+ - subtask: Place the green lemon on the yellow basket with the right gripper
222
+ subtask_index: 10
223
+ - subtask: Place the duck toy on the yellow basket with the right gripper
224
+ subtask_index: 11
225
+ - subtask: Grasp the duck toy with the left gripper
226
+ subtask_index: 12
227
+ - subtask: Place the blackboard erasure on the yellow basket with the left gripper
228
+ subtask_index: 13
229
+ - subtask: Grasp the blue cup with the left gripper
230
+ subtask_index: 14
231
+ - subtask: Place the bread slice on the yellow basket with the left gripper
232
+ subtask_index: 15
233
+ - subtask: Place the hard facial cleanser on the yellow basket with the right gripper
234
+ subtask_index: 16
235
+ - subtask: Place the peach on the yellow basket with the right gripper
236
+ subtask_index: 17
237
+ - subtask: Grasp the back scratcher with the right gripper
238
+ subtask_index: 18
239
+ - subtask: Place the tape on the yellow basket with the right gripper
240
+ subtask_index: 19
241
+ - subtask: Place the blue pot on the yellow basket with the right gripper
242
+ subtask_index: 20
243
+ - subtask: Grasp the chocolate cake with the right gripper
244
+ subtask_index: 21
245
+ - subtask: Place the tape on the yellow basket with the left gripper
246
+ subtask_index: 22
247
+ - subtask: Place the shower sphere on the yellow basket with the left gripper
248
+ subtask_index: 23
249
+ - subtask: Place the yogurt on the yellow basket with the left gripper
250
+ subtask_index: 24
251
+ - subtask: Grasp the shower sphere with the left gripper
252
+ subtask_index: 25
253
+ - subtask: Grasp the plugboard with the right gripper
254
+ subtask_index: 26
255
+ - subtask: Grasp the tin with the left gripper
256
+ subtask_index: 27
257
+ - subtask: Grasp the brown towel with the left gripper
258
+ subtask_index: 28
259
+ - subtask: Place the compasses on the yellow basket with the right gripper
260
+ subtask_index: 29
261
+ - subtask: Place the hard facial cleanser on the yellow basket with the left gripper
262
+ subtask_index: 30
263
+ - subtask: Grasp the hard facial cleanser with the left gripper
264
+ subtask_index: 31
265
+ - subtask: Place the potato chips on the yellow basket with the left gripper
266
+ subtask_index: 32
267
+ - subtask: Grasp the chocolate with the right gripper
268
+ subtask_index: 33
269
+ - subtask: Place the banana on the yellow basket with the right gripper
270
+ subtask_index: 34
271
+ - subtask: Grasp the peach with the right gripper
272
+ subtask_index: 35
273
+ - subtask: Grasp the brown towel with the right gripper
274
+ subtask_index: 36
275
+ - subtask: Place the chocolate cake on the yellow basket with the left gripper
276
+ subtask_index: 37
277
+ - subtask: Place the shower sphere on the yellow basket with the right gripper
278
+ subtask_index: 38
279
+ - subtask: Grasp the hard facial cleanser with the right gripper
280
+ subtask_index: 39
281
+ - subtask: Place the back scratcher on the yellow basket with the right gripper
282
+ subtask_index: 40
283
+ - subtask: Grasp the peach with the left gripper
284
+ subtask_index: 41
285
+ - subtask: Place the blue cup on the yellow basket with the left gripper
286
+ subtask_index: 42
287
+ - subtask: Grasp the green lemon with the right gripper
288
+ subtask_index: 43
289
+ - subtask: Place the soft facial cleanser on the yellow basket with the right gripper
290
+ subtask_index: 44
291
+ - subtask: Grasp the bread slice with the right gripper
292
+ subtask_index: 45
293
+ - subtask: Grasp the potato chips with the left gripper
294
+ subtask_index: 46
295
+ - subtask: Grasp the duck toy with the right gripper
296
+ subtask_index: 47
297
+ - subtask: End
298
+ subtask_index: 48
299
+ - subtask: Grasp the blackboard erasure with the left gripper
300
+ subtask_index: 49
301
+ - subtask: Grasp the coke with the left gripper
302
+ subtask_index: 50
303
+ - subtask: Place the blackboard erasure on the yellow basket with the right gripper
304
+ subtask_index: 51
305
+ - subtask: Grasp the round wooden block with the left gripper
306
+ subtask_index: 52
307
+ - subtask: Place the tin on the yellow basket with the left gripper
308
+ subtask_index: 53
309
+ - subtask: Place the bread slice on the yellow basket with the right gripper
310
+ subtask_index: 54
311
+ - subtask: Place the compasses on the yellow basket with the left gripper
312
+ subtask_index: 55
313
+ - subtask: Place the square wooden block on the yellow basket with the left gripper
314
+ subtask_index: 56
315
+ - subtask: Place the chocolate cake on the yellow basket with the right gripper
316
+ subtask_index: 57
317
+ - subtask: Grasp the compasses with the left gripper
318
+ subtask_index: 58
319
+ - subtask: Place the peach doll on the yellow basket with the left gripper
320
+ subtask_index: 59
321
+ - subtask: Grasp the blue pot with the right gripper
322
+ subtask_index: 60
323
+ - subtask: Grasp the round bread with the right gripper
324
+ subtask_index: 61
325
+ - subtask: Grasp the chocolate cake with the left gripper
326
+ subtask_index: 62
327
+ - subtask: Place the coke on the yellow basket with the left gripper
328
+ subtask_index: 63
329
+ - subtask: Place the duck toy on the yellow basket with the left gripper
330
+ subtask_index: 64
331
+ - subtask: Grasp the tin with the right gripper
332
+ subtask_index: 65
333
+ - subtask: Place the round wooden block on the yellow basket with the right gripper
334
+ subtask_index: 66
335
+ - subtask: Place the square wooden block on the yellow basket with the right gripper
336
+ subtask_index: 67
337
+ - subtask: Grasp the tape with the right gripper
338
+ subtask_index: 68
339
+ - subtask: Grasp the coke with the right gripper
340
+ subtask_index: 69
341
+ - subtask: Place the round bread on the yellow basket with the right gripper
342
+ subtask_index: 70
343
+ - subtask: Grasp the tape with the left gripper
344
+ subtask_index: 71
345
+ - subtask: Grasp the square chewing gum with the right gripper
346
+ subtask_index: 72
347
+ - subtask: Grasp the peach doll with the left gripper
348
+ subtask_index: 73
349
+ - subtask: Grasp the shower sphere with the right gripper
350
+ subtask_index: 74
351
+ - subtask: Place the brown towel on the yellow basket with the left gripper
352
+ subtask_index: 75
353
+ - subtask: Grasp the bread slice with the left gripper
354
+ subtask_index: 76
355
+ - subtask: Grasp the yogurt with the left gripper
356
+ subtask_index: 77
357
+ - subtask: Grasp the blackboard erasure with the right gripper
358
+ subtask_index: 78
359
+ - subtask: Place the coke on the yellow basket with the right gripper
360
+ subtask_index: 79
361
+ - subtask: Place the chocolate on the yellow basket with the right gripper
362
+ subtask_index: 80
363
+ - subtask: Place the potato chips on the yellow basket with the right gripper
364
+ subtask_index: 81
365
+ - subtask: Place the plugboard on the yellow basket with the right gripper
366
+ subtask_index: 82
367
+ - subtask: Place the blue pot on the yellow basket with the left gripper
368
+ subtask_index: 83
369
+ - subtask: Place the round bread on the yellow basket with the left gripper
370
+ subtask_index: 84
371
+ - subtask: Grasp the round bread with the left gripper
372
+ subtask_index: 85
373
+ - subtask: Grasp the square wooden block with the left gripper
374
+ subtask_index: 86
375
+ - subtask: Grasp the blue cup with the right gripper
376
+ subtask_index: 87
377
+ - subtask: Grasp the soft facial cleanser with the right gripper
378
+ subtask_index: 88
379
+ - subtask: Grasp the square wooden block with the right gripper
380
+ subtask_index: 89
381
+ - subtask: Grasp the round wooden block with the right gripper
382
+ subtask_index: 90
383
+ - subtask: Place the square chewing gum on the yellow basket with the right gripper
384
+ subtask_index: 91
385
+ - subtask: Grasp the banana with the right gripper
386
+ subtask_index: 92
387
+ - subtask: 'null'
388
+ subtask_index: 93
389
+ atomic_actions:
390
+ - grasp
391
+ - pick
392
+ - place
393
+ robot_name:
394
+ - Galaxea_R1_Lite
395
+ end_effector_type: two_finger_gripper
396
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
397
+ type information.
398
+ sensor_list:
399
+ - cam_head_left_rgb
400
+ - cam_head_right_rgb
401
+ - cam_left_wrist_rgb
402
+ - cam_right_wrist_rgb
403
+ came_info:
404
+ cam_head_left_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
405
+ pix_fmt=yuv420p
406
+ cam_head_right_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
407
+ pix_fmt=yuv420p
408
+ cam_left_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
409
+ pix_fmt=yuv420p
410
+ cam_right_wrist_rgb: dtype=video, shape=720x1280x3, resolution=1280x720, codec=av1,
411
+ pix_fmt=yuv420p
412
+ depth_enabled: false
413
+ coordinate_definition: right-hand-frame
414
+ joint_rotation_dim: radian
415
+ end_rotation_dim: end_rotation_dim
416
+ end_translation_dim: end_translation_dim
417
+ annotations:
418
+ - eef_acc_mag_annotation.jsonl
419
+ - eef_direction_annotation.jsonl
420
+ - eef_velocity_annotation.jsonl
421
+ - gripper_activity_annotation.jsonl
422
+ - gripper_mode_annotation.jsonl
423
+ - scene_annotations.jsonl
424
+ - subtask_annotations.jsonl
425
+ statistics:
426
+ total_episodes: 102
427
+ total_frames: 18153
428
+ fps: 30
429
+ total_tasks: 94
430
+ total_videos: 408
431
+ total_chunks: 1
432
+ chunks_size: 1000
433
+ state_dim: 14
434
+ action_dim: 14
435
+ camera_views: 4
436
+ dataset_size: 742.42 MB
437
+ frame_num: 18153
438
+ dataset_size: 742.42 MB
439
+ data_structure: 'Galaxea_R1_Lite_storage_object_yellow_basket_qced_hardlink/
440
+
441
+ |-- annotations
442
+
443
+ | |-- eef_acc_mag_annotation.jsonl
444
+
445
+ | |-- eef_direction_annotation.jsonl
446
+
447
+ | |-- eef_velocity_annotation.jsonl
448
+
449
+ | |-- gripper_activity_annotation.jsonl
450
+
451
+ | |-- gripper_mode_annotation.jsonl
452
+
453
+ | |-- scene_annotations.jsonl
454
+
455
+ | `-- subtask_annotations.jsonl
456
+
457
+ |-- data
458
+
459
+ | `-- chunk-000
460
+
461
+ | |-- episode_000000.parquet
462
+
463
+ | |-- episode_000001.parquet
464
+
465
+ | |-- episode_000002.parquet
466
+
467
+ | |-- episode_000003.parquet
468
+
469
+ | |-- episode_000004.parquet
470
+
471
+ | |-- episode_000005.parquet
472
+
473
+ | |-- episode_000006.parquet
474
+
475
+ | |-- episode_000007.parquet
476
+
477
+ | |-- episode_000008.parquet
478
+
479
+ | |-- episode_000009.parquet
480
+
481
+ | |-- episode_000010.parquet
482
+
483
+ | `-- episode_000011.parquet
484
+
485
+ | `-- ... (90 more entries)
486
+
487
+ |-- meta
488
+
489
+ | |-- episodes.jsonl
490
+
491
+ | |-- episodes_stats.jsonl
492
+
493
+ | |-- info.json
494
+
495
+ | `-- tasks.jsonl
496
+
497
+ |-- videos
498
+
499
+ | `-- chunk-000
500
+
501
+ | |-- observation.images.cam_head_left_rgb
502
+
503
+ | |-- observation.images.cam_head_right_rgb
504
+
505
+ | |-- observation.images.cam_left_wrist_rgb
506
+
507
+ | `-- observation.images.cam_right_wrist_rgb
508
+
509
+ |-- info.yaml
510
+
511
+ `-- README.md'
512
+ splits:
513
+ train: 0:101
514
+ features:
515
+ observation.images.cam_head_left_rgb:
516
+ dtype: video
517
+ shape:
518
+ - 720
519
+ - 1280
520
+ - 3
521
+ names:
522
+ - height
523
+ - width
524
+ - channels
525
+ info:
526
+ video.height: 720
527
+ video.width: 1280
528
+ video.codec: av1
529
+ video.pix_fmt: yuv420p
530
+ video.is_depth_map: false
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+ video.is_depth_map: false
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+ video.fps: 30
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+ dtype: video
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+ video.fps: 30
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+ has_audio: false
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+ observation.state:
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+ dtype: float32
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+ shape:
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+ - 14
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+ names:
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+ - left_arm_joint_1_rad
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+ - left_arm_joint_2_rad
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+ - left_arm_joint_3_rad
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+ - left_arm_joint_4_rad
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+ - left_arm_joint_5_rad
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+ - left_arm_joint_6_rad
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+ - right_arm_joint_1_rad
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+ - right_arm_joint_2_rad
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+ - right_arm_joint_3_rad
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+ - right_arm_joint_4_rad
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+ - right_arm_joint_5_rad
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+ - right_gripper_open
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+ names:
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+ - right_arm_joint_6_rad
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+ dtype: float32
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+ eef_sim_pose_action:
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+ names:
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+ - left_eef_pos_x
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+ - left_eef_pos_z
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+ - left_eef_rot_x
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+ - left_eef_rot_y
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+ - left_eef_rot_z
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+ eef_direction_state:
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+ - left_eef_direction
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+ - right_eef_direction
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+ shape:
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+ - 2
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+ dtype: int32
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+ eef_direction_action:
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+ names:
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+ - left_eef_direction
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+ - right_eef_direction
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+ shape:
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+ - 2
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+ dtype: int32
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+ eef_velocity_state:
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+ names:
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+ shape:
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+ dtype: int32
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+ eef_velocity_action:
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+ - 2
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+ dtype: int32
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+ eef_acc_mag_state:
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+ - 2
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+ dtype: int32
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+ eef_acc_mag_action:
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+ names:
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+ - left_eef_acc_mag
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+ - right_eef_acc_mag
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+ shape:
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+ - 2
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+ dtype: int32
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+ gripper_open_scale_state:
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+ names:
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+ - right_gripper_open_scale
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+ shape:
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+ dtype: float32
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+ gripper_open_scale_action:
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+ names:
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+ - left_gripper_open_scale
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+ - right_gripper_open_scale
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+ shape:
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+ - 2
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+ dtype: float32
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+ gripper_mode_state:
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+ names:
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+ - left_gripper_mode
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+ - right_gripper_mode
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+ shape:
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+ - 2
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+ dtype: int32
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+ gripper_mode_action:
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+ names:
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+ - left_gripper_mode
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+ - right_gripper_mode
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+ shape:
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+ - 2
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+ dtype: int32
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+ gripper_activity_state:
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+ names:
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+ - left_gripper_activity
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+ - right_gripper_activity
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+ shape:
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+ - 2
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+ dtype: int32
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+ gripper_activity_action:
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+ names:
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+ - left_gripper_activity
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+ - right_gripper_activity
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+ shape:
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+ - 2
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+ dtype: int32
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+ authors:
783
+ contributed_by:
784
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
785
+ dataset_description: This dataset uses an extended format based on LeRobot and is
786
+ fully compatible with LeRobot.
787
+ homepage: https://flagopen.github.io/RoboCOIN/
788
+ paper: https://arxiv.org/abs/2511.17441
789
+ repository: https://github.com/FlagOpen/RoboCOIN
790
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
791
+ us.
792
+ support_info: For technical support, please open an issue on our GitHub repository.
793
+ license_details: apache-2.0
794
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
795
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
796
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
797
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
798
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
799
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
800
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
801
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
802
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
803
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
804
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
805
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
806
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
807
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
808
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
809
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
810
+ additional_citations: 'If you use this dataset, please also consider citing:
811
+
812
+ LeRobot Framework: https://github.com/huggingface/lerobot
813
+
814
+ '
815
+ version_info: Initial Release
816
+ data_path: data/chunk-{id}/episode_{id}.parquet
817
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
818
+ video_url: videos/chunk-000/observation.images.cam_head_left_rgb/episode_000000.mp4
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