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Update RoboCOIN assets

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dataset_info/Agilex_Cobot_Magic_fold_T_shirts.yaml ADDED
@@ -0,0 +1,491 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_fold_T_shirts
24
+ dataset_uuid: 12c90605-38c4-4fce-b333-8a75fb70309d
25
+ scene_type:
26
+ level1: office
27
+ level2: office
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: black_T-shirt
36
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
37
+ the operation type information.
38
+ task_instruction:
39
+ - Fold the clothes on the table with the gripper.
40
+ sub_tasks:
41
+ - subtask: Lift the black T-shirt with the left gripper.
42
+ subtask_index: 0
43
+ - subtask: Abnormal.
44
+ subtask_index: 1
45
+ - subtask: Lift the black T-shirt with the right gripper.
46
+ subtask_index: 2
47
+ - subtask: Grasp the black T-shirt with the left gripper.
48
+ subtask_index: 3
49
+ - subtask: End.
50
+ subtask_index: 4
51
+ - subtask: Fold the black T-shirt downward with the right gripper.
52
+ subtask_index: 5
53
+ - subtask: Grasp the black T-shirt with the right gripper.
54
+ subtask_index: 6
55
+ - subtask: Fold the black T-shirt downward with the left gripper.
56
+ subtask_index: 7
57
+ - subtask: Fold the black T-shirt from right to left with right gripper.
58
+ subtask_index: 8
59
+ - subtask: wipe the clothes.
60
+ subtask_index: 9
61
+ - subtask: null.
62
+ subtask_index: 10
63
+ atomic_actions:
64
+ - grasp
65
+ - fold
66
+ - lift
67
+ - place
68
+ robot_name: Agilex_Cobot_Magic
69
+ end_effector_type: two_finger_end_effector
70
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
71
+ type information.
72
+ sensor_list:
73
+ - cam_head_rgb
74
+ - cam_left_wrist_rgb
75
+ - cam_right_wrist_rgb
76
+ came_info:
77
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
78
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
79
+ pix_fmt=yuv420p
80
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
81
+ pix_fmt=yuv420p
82
+ depth_enabled: false
83
+ coordinate_definition: right-hand-frame
84
+ joint_rotation_dim: radian
85
+ end_translation_dim: meter
86
+ annotations:
87
+ - eef_acc_mag_annotation.jsonl
88
+ - eef_direction_annotation.jsonl
89
+ - eef_velocity_annotation.jsonl
90
+ - gripper_activity_annotation.jsonl
91
+ - gripper_mode_annotation.jsonl
92
+ - scene_annotations.jsonl
93
+ - subtask_annotations.jsonl
94
+ statistics:
95
+ total_episodes: 100
96
+ total_frames: 78640
97
+ fps: 30
98
+ total_tasks: 11
99
+ total_videos: 300
100
+ total_chunks: 1
101
+ chunks_size: 1000
102
+ state_dim: 26
103
+ action_dim: 26
104
+ camera_views: 3
105
+ dataset_size: 913.86 MB
106
+ frame_num: 78640
107
+ frame_range: 100K
108
+ dataset_size: 913.86 MB
109
+ data_structure: 'Agilex_Cobot_Magic_fold_T_shirts_qced_hardlink/
110
+
111
+ |-- annotations
112
+
113
+ | |-- eef_acc_mag_annotation.jsonl
114
+
115
+ | |-- eef_direction_annotation.jsonl
116
+
117
+ | |-- eef_velocity_annotation.jsonl
118
+
119
+ | |-- gripper_activity_annotation.jsonl
120
+
121
+ | |-- gripper_mode_annotation.jsonl
122
+
123
+ | |-- scene_annotations.jsonl
124
+
125
+ | `-- subtask_annotations.jsonl
126
+
127
+ |-- data
128
+
129
+ | `-- chunk-000
130
+
131
+ | |-- episode_000000.parquet
132
+
133
+ | |-- episode_000001.parquet
134
+
135
+ | |-- episode_000002.parquet
136
+
137
+ | |-- episode_000003.parquet
138
+
139
+ | |-- episode_000004.parquet
140
+
141
+ | |-- episode_000005.parquet
142
+
143
+ | |-- episode_000006.parquet
144
+
145
+ | |-- episode_000007.parquet
146
+
147
+ | |-- episode_000008.parquet
148
+
149
+ | |-- episode_000009.parquet
150
+
151
+ | |-- episode_000010.parquet
152
+
153
+ | `-- episode_000011.parquet
154
+
155
+ | `-- ... (88 more entries)
156
+
157
+ |-- meta
158
+
159
+ | |-- episodes.jsonl
160
+
161
+ | |-- episodes_stats.jsonl
162
+
163
+ | |-- info.json
164
+
165
+ | `-- tasks.jsonl
166
+
167
+ |-- videos
168
+
169
+ | `-- chunk-000
170
+
171
+ | |-- observation.images.cam_head_rgb
172
+
173
+ | |-- observation.images.cam_left_wrist_rgb
174
+
175
+ | `-- observation.images.cam_right_wrist_rgb
176
+
177
+ |-- info.yaml
178
+
179
+ `-- README.md'
180
+ splits:
181
+ train: 0:99
182
+ features:
183
+ observation.images.cam_head_rgb:
184
+ dtype: video
185
+ shape:
186
+ - 480
187
+ - 640
188
+ - 3
189
+ names:
190
+ - height
191
+ - width
192
+ - channels
193
+ info:
194
+ video.height: 480
195
+ video.width: 640
196
+ video.codec: av1
197
+ video.pix_fmt: yuv420p
198
+ video.is_depth_map: false
199
+ video.fps: 30
200
+ video.channels: 3
201
+ has_audio: false
202
+ observation.images.cam_left_wrist_rgb:
203
+ dtype: video
204
+ shape:
205
+ - 480
206
+ - 640
207
+ - 3
208
+ names:
209
+ - height
210
+ - width
211
+ - channels
212
+ info:
213
+ video.height: 480
214
+ video.width: 640
215
+ video.codec: av1
216
+ video.pix_fmt: yuv420p
217
+ video.is_depth_map: false
218
+ video.fps: 30
219
+ video.channels: 3
220
+ has_audio: false
221
+ observation.images.cam_right_wrist_rgb:
222
+ dtype: video
223
+ shape:
224
+ - 480
225
+ - 640
226
+ - 3
227
+ names:
228
+ - height
229
+ - width
230
+ - channels
231
+ info:
232
+ video.height: 480
233
+ video.width: 640
234
+ video.codec: av1
235
+ video.pix_fmt: yuv420p
236
+ video.is_depth_map: false
237
+ video.fps: 30
238
+ video.channels: 3
239
+ has_audio: false
240
+ observation.state:
241
+ dtype: float32
242
+ shape:
243
+ - 26
244
+ names:
245
+ - left_arm_joint_1_rad
246
+ - left_arm_joint_2_rad
247
+ - left_arm_joint_3_rad
248
+ - left_arm_joint_4_rad
249
+ - left_arm_joint_5_rad
250
+ - left_arm_joint_6_rad
251
+ - left_gripper_open
252
+ - left_eef_pos_x_m
253
+ - left_eef_pos_y_m
254
+ - left_eef_pos_z_m
255
+ - left_eef_rot_euler_x_rad
256
+ - left_eef_rot_euler_y_rad
257
+ - left_eef_rot_euler_z_rad
258
+ - right_arm_joint_1_rad
259
+ - right_arm_joint_2_rad
260
+ - right_arm_joint_3_rad
261
+ - right_arm_joint_4_rad
262
+ - right_arm_joint_5_rad
263
+ - right_arm_joint_6_rad
264
+ - right_gripper_open
265
+ - right_eef_pos_x_m
266
+ - right_eef_pos_y_m
267
+ - right_eef_pos_z_m
268
+ - right_eef_rot_euler_x_rad
269
+ - right_eef_rot_euler_y_rad
270
+ - right_eef_rot_euler_z_rad
271
+ action:
272
+ dtype: float32
273
+ shape:
274
+ - 26
275
+ names:
276
+ - left_arm_joint_1_rad
277
+ - left_arm_joint_2_rad
278
+ - left_arm_joint_3_rad
279
+ - left_arm_joint_4_rad
280
+ - left_arm_joint_5_rad
281
+ - left_arm_joint_6_rad
282
+ - left_gripper_open
283
+ - left_eef_pos_x_m
284
+ - left_eef_pos_y_m
285
+ - left_eef_pos_z_m
286
+ - left_eef_rot_euler_x_rad
287
+ - left_eef_rot_euler_y_rad
288
+ - left_eef_rot_euler_z_rad
289
+ - right_arm_joint_1_rad
290
+ - right_arm_joint_2_rad
291
+ - right_arm_joint_3_rad
292
+ - right_arm_joint_4_rad
293
+ - right_arm_joint_5_rad
294
+ - right_arm_joint_6_rad
295
+ - right_gripper_open
296
+ - right_eef_pos_x_m
297
+ - right_eef_pos_y_m
298
+ - right_eef_pos_z_m
299
+ - right_eef_rot_euler_x_rad
300
+ - right_eef_rot_euler_y_rad
301
+ - right_eef_rot_euler_z_rad
302
+ timestamp:
303
+ dtype: float32
304
+ shape:
305
+ - 1
306
+ names: null
307
+ frame_index:
308
+ dtype: int64
309
+ shape:
310
+ - 1
311
+ names: null
312
+ episode_index:
313
+ dtype: int64
314
+ shape:
315
+ - 1
316
+ names: null
317
+ index:
318
+ dtype: int64
319
+ shape:
320
+ - 1
321
+ names: null
322
+ task_index:
323
+ dtype: int64
324
+ shape:
325
+ - 1
326
+ names: null
327
+ subtask_annotation:
328
+ names: null
329
+ dtype: int32
330
+ shape:
331
+ - 5
332
+ scene_annotation:
333
+ names: null
334
+ dtype: int32
335
+ shape:
336
+ - 1
337
+ eef_sim_pose_state:
338
+ names:
339
+ - left_eef_pos_x
340
+ - left_eef_pos_y
341
+ - left_eef_pos_z
342
+ - left_eef_rot_x
343
+ - left_eef_rot_y
344
+ - left_eef_rot_z
345
+ - right_eef_pos_x
346
+ - right_eef_pos_y
347
+ - right_eef_pos_z
348
+ - right_eef_rot_x
349
+ - right_eef_rot_y
350
+ - right_eef_rot_z
351
+ dtype: float32
352
+ shape:
353
+ - 12
354
+ eef_sim_pose_action:
355
+ names:
356
+ - left_eef_pos_x
357
+ - left_eef_pos_y
358
+ - left_eef_pos_z
359
+ - left_eef_rot_x
360
+ - left_eef_rot_y
361
+ - left_eef_rot_z
362
+ - right_eef_pos_x
363
+ - right_eef_pos_y
364
+ - right_eef_pos_z
365
+ - right_eef_rot_x
366
+ - right_eef_rot_y
367
+ - right_eef_rot_z
368
+ dtype: float32
369
+ shape:
370
+ - 12
371
+ eef_direction_state:
372
+ names:
373
+ - left_eef_direction
374
+ - right_eef_direction
375
+ dtype: int32
376
+ shape:
377
+ - 2
378
+ eef_direction_action:
379
+ names:
380
+ - left_eef_direction
381
+ - right_eef_direction
382
+ dtype: int32
383
+ shape:
384
+ - 2
385
+ eef_velocity_state:
386
+ names:
387
+ - left_eef_velocity
388
+ - right_eef_velocity
389
+ dtype: int32
390
+ shape:
391
+ - 2
392
+ eef_velocity_action:
393
+ names:
394
+ - left_eef_velocity
395
+ - right_eef_velocity
396
+ dtype: int32
397
+ shape:
398
+ - 2
399
+ eef_acc_mag_state:
400
+ names:
401
+ - left_eef_acc_mag
402
+ - right_eef_acc_mag
403
+ dtype: int32
404
+ shape:
405
+ - 2
406
+ eef_acc_mag_action:
407
+ names:
408
+ - left_eef_acc_mag
409
+ - right_eef_acc_mag
410
+ dtype: int32
411
+ shape:
412
+ - 2
413
+ gripper_mode_state:
414
+ names:
415
+ - left_gripper_mode
416
+ - right_gripper_mode
417
+ dtype: int32
418
+ shape:
419
+ - 2
420
+ gripper_mode_action:
421
+ names:
422
+ - left_gripper_mode
423
+ - right_gripper_mode
424
+ dtype: int32
425
+ shape:
426
+ - 2
427
+ gripper_activity_state:
428
+ names:
429
+ - left_gripper_activity
430
+ - right_gripper_activity
431
+ dtype: int32
432
+ shape:
433
+ - 2
434
+ gripper_activity_action:
435
+ names:
436
+ - left_gripper_activity
437
+ - right_gripper_activity
438
+ dtype: int32
439
+ shape:
440
+ - 2
441
+ gripper_open_scale_state:
442
+ names:
443
+ - left_gripper_open_scale
444
+ - right_gripper_open_scale
445
+ dtype: float32
446
+ shape:
447
+ - 2
448
+ gripper_open_scale_action:
449
+ names:
450
+ - left_gripper_open_scale
451
+ - right_gripper_open_scale
452
+ dtype: float32
453
+ shape:
454
+ - 2
455
+ authors:
456
+ contributed_by:
457
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
458
+ dataset_description: This dataset uses an extended format based on LeRobot and is
459
+ fully compatible with LeRobot.
460
+ homepage: https://flagopen.github.io/RoboCOIN/
461
+ paper: https://arxiv.org/abs/2511.17441
462
+ repository: https://github.com/FlagOpen/RoboCOIN
463
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
464
+ us.
465
+ support_info: For technical support, please open an issue on our GitHub repository.
466
+ license_details: apache-2.0
467
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
468
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
469
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
470
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
471
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
472
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
473
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
474
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
475
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
476
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
477
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
478
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
479
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
480
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
481
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
482
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
483
+ additional_citations: 'If you use this dataset, please also consider citing:
484
+
485
+ LeRobot Framework: https://github.com/huggingface/lerobot
486
+
487
+ '
488
+ version_info: Initial Release
489
+ data_path: data/chunk-{id}/episode_{id}.parquet
490
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
491
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_fold_jeans_shorts_children_s.yaml ADDED
@@ -0,0 +1,508 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task_categories:
2
+ - robotics
3
+ language:
4
+ - en
5
+ tags:
6
+ - RoboCOIN
7
+ - LeRobot
8
+ license: apache-2.0
9
+ configs:
10
+ - config_name: default
11
+ data_files: data/chunk-{id}/episode_{id}.parquet
12
+ extra_gated_prompt: By accessing this dataset, you agree to cite the associated paper
13
+ in your research/publications—see the "Citation" section for details. You agree
14
+ to not use the dataset to conduct experiments that cause harm to human subjects.
15
+ extra_gated_fields:
16
+ Company/Organization:
17
+ type: text
18
+ description: e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"
19
+ Country:
20
+ type: country
21
+ description: e.g., "Germany", "China", "United States"
22
+ codebase_version: v2.1
23
+ dataset_name: Agilex_Cobot_Magic_fold_jeans_shorts_children_s
24
+ dataset_uuid: 2bc06e3c-fc72-45ad-bd89-8ca94645988e
25
+ scene_type:
26
+ level1: household
27
+ level2: bedroom
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: denim_shorts
36
+ - object_name: green_tray
37
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
38
+ the operation type information.
39
+ task_instruction:
40
+ - Fold the children's denim shorts in half with the grippers, then fold them in half
41
+ again. Place the folded children's denim shorts on the tray with the left gripper.
42
+ again, and use the left claw to place the folded children's denim shorts on the
43
+ tray.
44
+ sub_tasks:
45
+ - subtask: Grasp the blue trousers with the right gripper.
46
+ subtask_index: 0
47
+ - subtask: Fold the blue trousers upwards with the right gripper.
48
+ subtask_index: 1
49
+ - subtask: Fold the blue trousers from right to left with the right gripper.
50
+ subtask_index: 2
51
+ - subtask: Place the folded blue trousers on the green tray with the left gripper.
52
+ subtask_index: 3
53
+ - subtask: Grasp the blue trousers with the left gripper.
54
+ subtask_index: 4
55
+ - subtask: Fold the blue trousers upwards with the left gripper.
56
+ subtask_index: 5
57
+ - subtask: Fold the blue trousers from left to right with the left gripper.
58
+ subtask_index: 6
59
+ - subtask: end.
60
+ subtask_index: 7
61
+ - subtask: null.
62
+ subtask_index: 8
63
+ atomic_actions:
64
+ - grasp
65
+ - lift
66
+ - place
67
+ - fold
68
+ robot_name:
69
+ - Agilex_Cobot_Magic
70
+ end_effector_type: two_finger_end_effector
71
+ tele_type: Due to some reasons, this dataset temporarily cannot provide the teleoperation
72
+ type information.
73
+ sensor_list:
74
+ - cam_head_rgb
75
+ - cam_left_wrist_rgb
76
+ - cam_right_wrist_rgb
77
+ came_info:
78
+ cam_head_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
79
+ cam_left_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
80
+ pix_fmt=yuv420p
81
+ cam_right_wrist_rgb: dtype=video, shape=480x640x3, resolution=640x480, codec=av1,
82
+ pix_fmt=yuv420p
83
+ depth_enabled: false
84
+ coordinate_definition: right-hand-frame
85
+ joint_rotation_dim: radian
86
+ end_translation_dim: meter
87
+ annotations:
88
+ - eef_acc_mag_annotation.jsonl
89
+ - eef_direction_annotation.jsonl
90
+ - eef_velocity_annotation.jsonl
91
+ - gripper_activity_annotation.jsonl
92
+ - gripper_mode_annotation.jsonl
93
+ - scene_annotations.jsonl
94
+ - subtask_annotations.jsonl
95
+ statistics:
96
+ total_episodes: 50
97
+ total_frames: 60562
98
+ fps: 30
99
+ total_tasks: 9
100
+ total_videos: 150
101
+ total_chunks: 1
102
+ chunks_size: 1000
103
+ state_dim: 26
104
+ action_dim: 26
105
+ camera_views: 3
106
+ dataset_size: 912.51 MB
107
+ frame_num: 60562
108
+ frame_range: 100K
109
+ dataset_size: 912.51 MB
110
+ data_structure: 'Agilex_Cobot_Magic_fold_jeans_shorts_children_s_qced_hardlink/
111
+
112
+ |-- annotations
113
+
114
+ | |-- eef_acc_mag_annotation.jsonl
115
+
116
+ | |-- eef_direction_annotation.jsonl
117
+
118
+ | |-- eef_velocity_annotation.jsonl
119
+
120
+ | |-- gripper_activity_annotation.jsonl
121
+
122
+ | |-- gripper_mode_annotation.jsonl
123
+
124
+ | |-- scene_annotations.jsonl
125
+
126
+ | `-- subtask_annotations.jsonl
127
+
128
+ |-- backup
129
+
130
+ | |-- data
131
+
132
+ | | `-- chunk-000
133
+
134
+ | `-- meta
135
+
136
+ | |-- episodes.jsonl
137
+
138
+ | |-- episodes_stats.jsonl
139
+
140
+ | |-- info.json
141
+
142
+ | `-- tasks.jsonl
143
+
144
+ |-- data
145
+
146
+ | `-- chunk-000
147
+
148
+ | |-- episode_000000.parquet
149
+
150
+ | |-- episode_000001.parquet
151
+
152
+ | |-- episode_000002.parquet
153
+
154
+ | |-- episode_000003.parquet
155
+
156
+ | |-- episode_000004.parquet
157
+
158
+ | |-- episode_000005.parquet
159
+
160
+ | |-- episode_000006.parquet
161
+
162
+ | |-- episode_000007.parquet
163
+
164
+ | |-- episode_000008.parquet
165
+
166
+ | |-- episode_000009.parquet
167
+
168
+ | |-- episode_000010.parquet
169
+
170
+ | `-- episode_000011.parquet
171
+
172
+ | `-- ... (38 more entries)
173
+
174
+ |-- meta
175
+
176
+ | |-- episodes.jsonl
177
+
178
+ | |-- episodes_stats.jsonl
179
+
180
+ | |-- info.json
181
+
182
+ | `-- tasks.jsonl
183
+
184
+ |-- videos
185
+
186
+ | `-- chunk-000
187
+
188
+ | |-- observation.images.cam_head_rgb
189
+
190
+ | |-- observation.images.cam_left_wrist_rgb
191
+
192
+ | `-- observation.images.cam_right_wrist_rgb
193
+
194
+ |-- info.yaml
195
+
196
+ `-- README.md'
197
+ splits:
198
+ train: 0:49
199
+ features:
200
+ observation.images.cam_head_rgb:
201
+ dtype: video
202
+ shape:
203
+ - 480
204
+ - 640
205
+ - 3
206
+ names:
207
+ - height
208
+ - width
209
+ - channels
210
+ info:
211
+ video.height: 480
212
+ video.width: 640
213
+ video.codec: av1
214
+ video.pix_fmt: yuv420p
215
+ video.is_depth_map: false
216
+ video.fps: 30
217
+ video.channels: 3
218
+ has_audio: false
219
+ observation.images.cam_left_wrist_rgb:
220
+ dtype: video
221
+ shape:
222
+ - 480
223
+ - 640
224
+ - 3
225
+ names:
226
+ - height
227
+ - width
228
+ - channels
229
+ info:
230
+ video.height: 480
231
+ video.width: 640
232
+ video.codec: av1
233
+ video.pix_fmt: yuv420p
234
+ video.is_depth_map: false
235
+ video.fps: 30
236
+ video.channels: 3
237
+ has_audio: false
238
+ observation.images.cam_right_wrist_rgb:
239
+ dtype: video
240
+ shape:
241
+ - 480
242
+ - 640
243
+ - 3
244
+ names:
245
+ - height
246
+ - width
247
+ - channels
248
+ info:
249
+ video.height: 480
250
+ video.width: 640
251
+ video.codec: av1
252
+ video.pix_fmt: yuv420p
253
+ video.is_depth_map: false
254
+ video.fps: 30
255
+ video.channels: 3
256
+ has_audio: false
257
+ observation.state:
258
+ dtype: float32
259
+ shape:
260
+ - 26
261
+ names:
262
+ - left_arm_joint_1_rad
263
+ - left_arm_joint_2_rad
264
+ - left_arm_joint_3_rad
265
+ - left_arm_joint_4_rad
266
+ - left_arm_joint_5_rad
267
+ - left_arm_joint_6_rad
268
+ - left_gripper_open
269
+ - left_eef_pos_x_m
270
+ - left_eef_pos_y_m
271
+ - left_eef_pos_z_m
272
+ - left_eef_rot_euler_x_rad
273
+ - left_eef_rot_euler_y_rad
274
+ - left_eef_rot_euler_z_rad
275
+ - right_arm_joint_1_rad
276
+ - right_arm_joint_2_rad
277
+ - right_arm_joint_3_rad
278
+ - right_arm_joint_4_rad
279
+ - right_arm_joint_5_rad
280
+ - right_arm_joint_6_rad
281
+ - right_gripper_open
282
+ - right_eef_pos_x_m
283
+ - right_eef_pos_y_m
284
+ - right_eef_pos_z_m
285
+ - right_eef_rot_euler_x_rad
286
+ - right_eef_rot_euler_y_rad
287
+ - right_eef_rot_euler_z_rad
288
+ action:
289
+ dtype: float32
290
+ shape:
291
+ - 26
292
+ names:
293
+ - left_arm_joint_1_rad
294
+ - left_arm_joint_2_rad
295
+ - left_arm_joint_3_rad
296
+ - left_arm_joint_4_rad
297
+ - left_arm_joint_5_rad
298
+ - left_arm_joint_6_rad
299
+ - left_gripper_open
300
+ - left_eef_pos_x_m
301
+ - left_eef_pos_y_m
302
+ - left_eef_pos_z_m
303
+ - left_eef_rot_euler_x_rad
304
+ - left_eef_rot_euler_y_rad
305
+ - left_eef_rot_euler_z_rad
306
+ - right_arm_joint_1_rad
307
+ - right_arm_joint_2_rad
308
+ - right_arm_joint_3_rad
309
+ - right_arm_joint_4_rad
310
+ - right_arm_joint_5_rad
311
+ - right_arm_joint_6_rad
312
+ - right_gripper_open
313
+ - right_eef_pos_x_m
314
+ - right_eef_pos_y_m
315
+ - right_eef_pos_z_m
316
+ - right_eef_rot_euler_x_rad
317
+ - right_eef_rot_euler_y_rad
318
+ - right_eef_rot_euler_z_rad
319
+ timestamp:
320
+ dtype: float32
321
+ shape:
322
+ - 1
323
+ names: null
324
+ frame_index:
325
+ dtype: int64
326
+ shape:
327
+ - 1
328
+ names: null
329
+ episode_index:
330
+ dtype: int64
331
+ shape:
332
+ - 1
333
+ names: null
334
+ index:
335
+ dtype: int64
336
+ shape:
337
+ - 1
338
+ names: null
339
+ task_index:
340
+ dtype: int64
341
+ shape:
342
+ - 1
343
+ names: null
344
+ subtask_annotation:
345
+ names: null
346
+ shape:
347
+ - 5
348
+ dtype: int32
349
+ scene_annotation:
350
+ names: null
351
+ shape:
352
+ - 1
353
+ dtype: int32
354
+ eef_sim_pose_state:
355
+ names:
356
+ - left_eef_pos_x
357
+ - left_eef_pos_y
358
+ - left_eef_pos_z
359
+ - left_eef_rot_x
360
+ - left_eef_rot_y
361
+ - left_eef_rot_z
362
+ - right_eef_pos_x
363
+ - right_eef_pos_y
364
+ - right_eef_pos_z
365
+ - right_eef_rot_x
366
+ - right_eef_rot_y
367
+ - right_eef_rot_z
368
+ shape:
369
+ - 12
370
+ dtype: float32
371
+ eef_sim_pose_action:
372
+ names:
373
+ - left_eef_pos_x
374
+ - left_eef_pos_y
375
+ - left_eef_pos_z
376
+ - left_eef_rot_x
377
+ - left_eef_rot_y
378
+ - left_eef_rot_z
379
+ - right_eef_pos_x
380
+ - right_eef_pos_y
381
+ - right_eef_pos_z
382
+ - right_eef_rot_x
383
+ - right_eef_rot_y
384
+ - right_eef_rot_z
385
+ shape:
386
+ - 12
387
+ dtype: float32
388
+ eef_direction_state:
389
+ names:
390
+ - left_eef_direction
391
+ - right_eef_direction
392
+ shape:
393
+ - 2
394
+ dtype: int32
395
+ eef_direction_action:
396
+ names:
397
+ - left_eef_direction
398
+ - right_eef_direction
399
+ shape:
400
+ - 2
401
+ dtype: int32
402
+ eef_velocity_state:
403
+ names:
404
+ - left_eef_velocity
405
+ - right_eef_velocity
406
+ shape:
407
+ - 2
408
+ dtype: int32
409
+ eef_velocity_action:
410
+ names:
411
+ - left_eef_velocity
412
+ - right_eef_velocity
413
+ shape:
414
+ - 2
415
+ dtype: int32
416
+ eef_acc_mag_state:
417
+ names:
418
+ - left_eef_acc_mag
419
+ - right_eef_acc_mag
420
+ shape:
421
+ - 2
422
+ dtype: int32
423
+ eef_acc_mag_action:
424
+ names:
425
+ - left_eef_acc_mag
426
+ - right_eef_acc_mag
427
+ shape:
428
+ - 2
429
+ dtype: int32
430
+ gripper_mode_state:
431
+ names:
432
+ - left_gripper_mode
433
+ - right_gripper_mode
434
+ shape:
435
+ - 2
436
+ dtype: int32
437
+ gripper_mode_action:
438
+ names:
439
+ - left_gripper_mode
440
+ - right_gripper_mode
441
+ shape:
442
+ - 2
443
+ dtype: int32
444
+ gripper_activity_state:
445
+ names:
446
+ - left_gripper_activity
447
+ - right_gripper_activity
448
+ shape:
449
+ - 2
450
+ dtype: int32
451
+ gripper_activity_action:
452
+ names:
453
+ - left_gripper_activity
454
+ - right_gripper_activity
455
+ shape:
456
+ - 2
457
+ dtype: int32
458
+ gripper_open_scale_state:
459
+ names:
460
+ - left_gripper_open_scale
461
+ - right_gripper_open_scale
462
+ dtype: float32
463
+ shape:
464
+ - 2
465
+ gripper_open_scale_action:
466
+ names:
467
+ - left_gripper_open_scale
468
+ - right_gripper_open_scale
469
+ dtype: float32
470
+ shape:
471
+ - 2
472
+ authors:
473
+ contributed_by:
474
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
475
+ dataset_description: This dataset uses an extended format based on LeRobot and is
476
+ fully compatible with LeRobot.
477
+ homepage: https://flagopen.github.io/RoboCOIN/
478
+ paper: https://arxiv.org/abs/2511.17441
479
+ repository: https://github.com/FlagOpen/RoboCOIN
480
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
481
+ us.
482
+ support_info: For technical support, please open an issue on our GitHub repository.
483
+ license_details: apache-2.0
484
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
485
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
486
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
487
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
488
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
489
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
490
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
491
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
492
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
493
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
494
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
495
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
496
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
497
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
498
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
499
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
500
+ additional_citations: 'If you use this dataset, please also consider citing:
501
+
502
+ LeRobot Framework: https://github.com/huggingface/lerobot
503
+
504
+ '
505
+ version_info: Initial Release
506
+ data_path: data/chunk-{id}/episode_{id}.parquet
507
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
508
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
dataset_info/Agilex_Cobot_Magic_storage_fruit_bowl.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: Agilex_Cobot_Magic_storage_fruit_bowl
24
+ dataset_uuid: 30dcbc74-cebe-4d75-a531-87b88a439e63
25
+ scene_type:
26
+ level1: household
27
+ level2: kitchen
28
+ level3: null
29
+ level4: null
30
+ level5: null
31
+ env_type: Due to some reasons, this dataset temporarily cannot provide the environment
32
+ type information.
33
+ objects:
34
+ - object_name: table
35
+ - object_name: bowl
36
+ - object_name: green_lemon
37
+ - object_name: mango
38
+ - object_name: pomegranate
39
+ task_operation_type: Due to some reasons, this dataset temporarily cannot provide
40
+ the operation type information.
41
+ task_instruction:
42
+ - Place the three fruits on the table with the gripper into a bowl.
43
+ sub_tasks:
44
+ - subtask: Grasp the pomegranate with left gripper.
45
+ subtask_index: 0
46
+ - subtask: Place the pomegranate in the blue bowl with left gripper.
47
+ subtask_index: 1
48
+ - subtask: Grasp the pomegranate with right gripper.
49
+ subtask_index: 2
50
+ - subtask: Place the green lemon in the blue bowl with right gripper.
51
+ subtask_index: 3
52
+ - subtask: Grasp the green lemon with left gripper.
53
+ subtask_index: 4
54
+ - subtask: Place the pomegranate in the blue bowl with right gripper.
55
+ subtask_index: 5
56
+ - subtask: Place the mango in the blue bowl with right gripper.
57
+ subtask_index: 6
58
+ - subtask: Grasp the mango with right gripper.
59
+ subtask_index: 7
60
+ - subtask: End.
61
+ subtask_index: 8
62
+ - subtask: Place the mango in the blue bowl with left gripper.
63
+ subtask_index: 9
64
+ - subtask: Grasp the green lemon with right gripper.
65
+ subtask_index: 10
66
+ - subtask: Place the green lemon in the blue bowl with left gripper.
67
+ subtask_index: 11
68
+ - subtask: Grasp the mango with left gripper.
69
+ subtask_index: 12
70
+ - subtask: null.
71
+ subtask_index: 13
72
+ atomic_actions:
73
+ - grasp
74
+ - lift
75
+ - place
76
+ robot_name: Agilex_Cobot_Magic
77
+ end_effector_type: two_finger_end_effector
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
+ 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
+ depth_enabled: false
91
+ coordinate_definition: right-hand-frame
92
+ joint_rotation_dim: radian
93
+ end_translation_dim: meter
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: 100
104
+ total_frames: 78670
105
+ fps: 30
106
+ total_tasks: 14
107
+ total_videos: 300
108
+ total_chunks: 1
109
+ chunks_size: 1000
110
+ state_dim: 26
111
+ action_dim: 26
112
+ camera_views: 3
113
+ dataset_size: 740.83 MB
114
+ frame_num: 78670
115
+ frame_range: 100K
116
+ dataset_size: 740.83 MB
117
+ data_structure: 'Agilex_Cobot_Magic_storage_fruit_bowl_qced_hardlink/
118
+
119
+ |-- annotations
120
+
121
+ | |-- eef_acc_mag_annotation.jsonl
122
+
123
+ | |-- eef_direction_annotation.jsonl
124
+
125
+ | |-- eef_velocity_annotation.jsonl
126
+
127
+ | |-- gripper_activity_annotation.jsonl
128
+
129
+ | |-- gripper_mode_annotation.jsonl
130
+
131
+ | |-- scene_annotations.jsonl
132
+
133
+ | `-- subtask_annotations.jsonl
134
+
135
+ |-- data
136
+
137
+ | `-- chunk-000
138
+
139
+ | |-- episode_000000.parquet
140
+
141
+ | |-- episode_000001.parquet
142
+
143
+ | |-- episode_000002.parquet
144
+
145
+ | |-- episode_000003.parquet
146
+
147
+ | |-- episode_000004.parquet
148
+
149
+ | |-- episode_000005.parquet
150
+
151
+ | |-- episode_000006.parquet
152
+
153
+ | |-- episode_000007.parquet
154
+
155
+ | |-- episode_000008.parquet
156
+
157
+ | |-- episode_000009.parquet
158
+
159
+ | |-- episode_000010.parquet
160
+
161
+ | `-- episode_000011.parquet
162
+
163
+ | `-- ... (88 more entries)
164
+
165
+ |-- meta
166
+
167
+ | |-- episodes.jsonl
168
+
169
+ | |-- episodes_stats.jsonl
170
+
171
+ | |-- info.json
172
+
173
+ | `-- tasks.jsonl
174
+
175
+ |-- videos
176
+
177
+ | `-- chunk-000
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: 0:99
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.state:
249
+ dtype: float32
250
+ shape:
251
+ - 26
252
+ names:
253
+ - left_arm_joint_1_rad
254
+ - left_arm_joint_2_rad
255
+ - left_arm_joint_3_rad
256
+ - left_arm_joint_4_rad
257
+ - left_arm_joint_5_rad
258
+ - left_arm_joint_6_rad
259
+ - left_gripper_open
260
+ - left_eef_pos_x_m
261
+ - left_eef_pos_y_m
262
+ - left_eef_pos_z_m
263
+ - left_eef_rot_euler_x_rad
264
+ - left_eef_rot_euler_y_rad
265
+ - left_eef_rot_euler_z_rad
266
+ - right_arm_joint_1_rad
267
+ - right_arm_joint_2_rad
268
+ - right_arm_joint_3_rad
269
+ - right_arm_joint_4_rad
270
+ - right_arm_joint_5_rad
271
+ - right_arm_joint_6_rad
272
+ - right_gripper_open
273
+ - right_eef_pos_x_m
274
+ - right_eef_pos_y_m
275
+ - right_eef_pos_z_m
276
+ - right_eef_rot_euler_x_rad
277
+ - right_eef_rot_euler_y_rad
278
+ - right_eef_rot_euler_z_rad
279
+ action:
280
+ dtype: float32
281
+ shape:
282
+ - 26
283
+ names:
284
+ - left_arm_joint_1_rad
285
+ - left_arm_joint_2_rad
286
+ - left_arm_joint_3_rad
287
+ - left_arm_joint_4_rad
288
+ - left_arm_joint_5_rad
289
+ - left_arm_joint_6_rad
290
+ - left_gripper_open
291
+ - left_eef_pos_x_m
292
+ - left_eef_pos_y_m
293
+ - left_eef_pos_z_m
294
+ - left_eef_rot_euler_x_rad
295
+ - left_eef_rot_euler_y_rad
296
+ - left_eef_rot_euler_z_rad
297
+ - right_arm_joint_1_rad
298
+ - right_arm_joint_2_rad
299
+ - right_arm_joint_3_rad
300
+ - right_arm_joint_4_rad
301
+ - right_arm_joint_5_rad
302
+ - right_arm_joint_6_rad
303
+ - right_gripper_open
304
+ - right_eef_pos_x_m
305
+ - right_eef_pos_y_m
306
+ - right_eef_pos_z_m
307
+ - right_eef_rot_euler_x_rad
308
+ - right_eef_rot_euler_y_rad
309
+ - right_eef_rot_euler_z_rad
310
+ timestamp:
311
+ dtype: float32
312
+ shape:
313
+ - 1
314
+ names: null
315
+ frame_index:
316
+ dtype: int64
317
+ shape:
318
+ - 1
319
+ names: null
320
+ episode_index:
321
+ dtype: int64
322
+ shape:
323
+ - 1
324
+ names: null
325
+ index:
326
+ dtype: int64
327
+ shape:
328
+ - 1
329
+ names: null
330
+ task_index:
331
+ dtype: int64
332
+ shape:
333
+ - 1
334
+ names: null
335
+ subtask_annotation:
336
+ names: null
337
+ dtype: int32
338
+ shape:
339
+ - 5
340
+ scene_annotation:
341
+ names: null
342
+ dtype: int32
343
+ shape:
344
+ - 1
345
+ eef_sim_pose_state:
346
+ names:
347
+ - left_eef_pos_x
348
+ - left_eef_pos_y
349
+ - left_eef_pos_z
350
+ - left_eef_rot_x
351
+ - left_eef_rot_y
352
+ - left_eef_rot_z
353
+ - right_eef_pos_x
354
+ - right_eef_pos_y
355
+ - right_eef_pos_z
356
+ - right_eef_rot_x
357
+ - right_eef_rot_y
358
+ - right_eef_rot_z
359
+ dtype: float32
360
+ shape:
361
+ - 12
362
+ eef_sim_pose_action:
363
+ names:
364
+ - left_eef_pos_x
365
+ - left_eef_pos_y
366
+ - left_eef_pos_z
367
+ - left_eef_rot_x
368
+ - left_eef_rot_y
369
+ - left_eef_rot_z
370
+ - right_eef_pos_x
371
+ - right_eef_pos_y
372
+ - right_eef_pos_z
373
+ - right_eef_rot_x
374
+ - right_eef_rot_y
375
+ - right_eef_rot_z
376
+ dtype: float32
377
+ shape:
378
+ - 12
379
+ eef_direction_state:
380
+ names:
381
+ - left_eef_direction
382
+ - right_eef_direction
383
+ dtype: int32
384
+ shape:
385
+ - 2
386
+ eef_direction_action:
387
+ names:
388
+ - left_eef_direction
389
+ - right_eef_direction
390
+ dtype: int32
391
+ shape:
392
+ - 2
393
+ eef_velocity_state:
394
+ names:
395
+ - left_eef_velocity
396
+ - right_eef_velocity
397
+ dtype: int32
398
+ shape:
399
+ - 2
400
+ eef_velocity_action:
401
+ names:
402
+ - left_eef_velocity
403
+ - right_eef_velocity
404
+ dtype: int32
405
+ shape:
406
+ - 2
407
+ eef_acc_mag_state:
408
+ names:
409
+ - left_eef_acc_mag
410
+ - right_eef_acc_mag
411
+ dtype: int32
412
+ shape:
413
+ - 2
414
+ eef_acc_mag_action:
415
+ names:
416
+ - left_eef_acc_mag
417
+ - right_eef_acc_mag
418
+ dtype: int32
419
+ shape:
420
+ - 2
421
+ gripper_mode_state:
422
+ names:
423
+ - left_gripper_mode
424
+ - right_gripper_mode
425
+ dtype: int32
426
+ shape:
427
+ - 2
428
+ gripper_mode_action:
429
+ names:
430
+ - left_gripper_mode
431
+ - right_gripper_mode
432
+ dtype: int32
433
+ shape:
434
+ - 2
435
+ gripper_activity_state:
436
+ names:
437
+ - left_gripper_activity
438
+ - right_gripper_activity
439
+ dtype: int32
440
+ shape:
441
+ - 2
442
+ gripper_activity_action:
443
+ names:
444
+ - left_gripper_activity
445
+ - right_gripper_activity
446
+ dtype: int32
447
+ shape:
448
+ - 2
449
+ gripper_open_scale_state:
450
+ names:
451
+ - left_gripper_open_scale
452
+ - right_gripper_open_scale
453
+ dtype: float32
454
+ shape:
455
+ - 2
456
+ gripper_open_scale_action:
457
+ names:
458
+ - left_gripper_open_scale
459
+ - right_gripper_open_scale
460
+ dtype: float32
461
+ shape:
462
+ - 2
463
+ authors:
464
+ contributed_by:
465
+ - name: RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
466
+ dataset_description: This dataset uses an extended format based on LeRobot and is
467
+ fully compatible with LeRobot.
468
+ homepage: https://flagopen.github.io/RoboCOIN/
469
+ paper: https://arxiv.org/abs/2511.17441
470
+ repository: https://github.com/FlagOpen/RoboCOIN
471
+ contact_info: For questions, issues, or feedback regarding this dataset, please contact
472
+ us.
473
+ support_info: For technical support, please open an issue on our GitHub repository.
474
+ license_details: apache-2.0
475
+ citation_bibtex: "@article{robocoin,\n title={RoboCOIN: An Open-Sourced Bimanual\
476
+ \ Robotic Data Collection for Integrated Manipulation},\n author={Shihan Wu, Xuecheng\
477
+ \ Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu\
478
+ \ Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang\
479
+ \ Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin,\
480
+ \ Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng\
481
+ \ Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang\
482
+ \ Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance\
483
+ \ Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang,\
484
+ \ Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie,\
485
+ \ Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao\
486
+ \ Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian,\
487
+ \ Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong,\
488
+ \ He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang,\
489
+ \ Yonghua Lin, Zhongyuan Wang and Guocai Yao},\n journal={arXiv preprint arXiv:2511.17441},\n\
490
+ \ url = {https://arxiv.org/abs/2511.17441},\n year={2025},\n }\n"
491
+ additional_citations: 'If you use this dataset, please also consider citing:
492
+
493
+ LeRobot Framework: https://github.com/huggingface/lerobot
494
+
495
+ '
496
+ version_info: Initial Release
497
+ data_path: data/chunk-{id}/episode_{id}.parquet
498
+ video_path: videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}
499
+ video_url: videos/chunk-000/observation.images.cam_head_rgb/episode_000000.mp4
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info/data_index.json CHANGED
@@ -60,9 +60,9 @@
60
  "Agilex_Cobot_Magic_erase_board_passing_left_to_right",
61
  "Agilex_Cobot_Magic_erase_board_passing_right_to_left",
62
  "Agilex_Cobot_Magic_erase_board_right",
63
- "Agilex_Cobot_Magic_fold_T-shirts",
64
  "Agilex_Cobot_Magic_fold_clothes",
65
- "Agilex_Cobot_Magic_fold_jeans_shorts_children's",
66
  "Agilex_Cobot_Magic_fold_short_sleeve_black",
67
  "Agilex_Cobot_Magic_fold_short_sleeve_white",
68
  "Agilex_Cobot_Magic_fold_shorts_khaki",
@@ -119,7 +119,7 @@
119
  "Agilex_Cobot_Magic_stir_coffee",
120
  "Agilex_Cobot_Magic_storage_bread_basket",
121
  "Agilex_Cobot_Magic_storage_fruit_basket",
122
- "Agilex_Cobot_Magic_storage_fuirt_bowl",
123
  "Agilex_Cobot_Magic_storage_lemon_mango",
124
  "Agilex_Cobot_Magic_storage_object",
125
  "Agilex_Cobot_Magic_storage_object_basket",
 
60
  "Agilex_Cobot_Magic_erase_board_passing_left_to_right",
61
  "Agilex_Cobot_Magic_erase_board_passing_right_to_left",
62
  "Agilex_Cobot_Magic_erase_board_right",
63
+ "Agilex_Cobot_Magic_fold_T_shirts",
64
  "Agilex_Cobot_Magic_fold_clothes",
65
+ "Agilex_Cobot_Magic_fold_jeans_shorts_children_s",
66
  "Agilex_Cobot_Magic_fold_short_sleeve_black",
67
  "Agilex_Cobot_Magic_fold_short_sleeve_white",
68
  "Agilex_Cobot_Magic_fold_shorts_khaki",
 
119
  "Agilex_Cobot_Magic_stir_coffee",
120
  "Agilex_Cobot_Magic_storage_bread_basket",
121
  "Agilex_Cobot_Magic_storage_fruit_basket",
122
+ "Agilex_Cobot_Magic_storage_fruit_bowl",
123
  "Agilex_Cobot_Magic_storage_lemon_mango",
124
  "Agilex_Cobot_Magic_storage_object",
125
  "Agilex_Cobot_Magic_storage_object_basket",
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