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Rename 1.md to README.md

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  1. 1.md → README.md +134 -109
1.md → README.md RENAMED
@@ -27,8 +27,6 @@ tags:
27
  - RoboCOIN
28
  - LeRobot
29
 
30
- frame_range: 10K-100K
31
-
32
  license: apache-2.0
33
 
34
  configs:
@@ -38,22 +36,17 @@ configs:
38
 
39
  # Agibot_g1_Pick_apple
40
 
41
- **UUID:** `550e8400-e29b-41d4-a716-446655440000`
42
-
43
- ![Dataset Preview](./assets/thumbnails/Agibot-g1_Pick_apple.jpg)
44
- [Watch Video](./assets/videos/Agibot-g1_Pick_apple.mp4)
45
-
46
- ### Overview
47
-
48
- | Metric | Value |
49
- |--------|-------|
50
- | **Total Frames** | 50000 |
51
- | **Frame Rate (FPS)** | 30 |
52
- | **Total Episodes** | 100 |
53
- | **Total Tasks** | 100 |
54
-
55
 
56
- ### Primary Task Instruction
57
  > pick up the apple from the table and place it into the basket.
58
 
59
  ### Robot Configuration
@@ -61,11 +54,11 @@ configs:
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  - **Robot Name:** `Agibot+G1edu-u3`
62
  - **Robot Type:** `G1edu-u3`
63
  - **Codebase Version:** `v2.1`
64
- - **End-Effector Name:** `['Agibot+two_finger_gripper', 'Agibot+three_finger_gripper']`
65
  - **End-Effector Type:** `two_finger_gripper, three_finger_gripper`
66
  - **Teleoperation Type:** `cable, wireless`
67
 
68
- ## 🏠 Scene and Objects
69
 
70
  ### Scene Type
71
  `home-kitchen`
@@ -75,11 +68,13 @@ configs:
75
  - `basket-container-basket`
76
 
77
 
78
- ## 🎯 Task Descriptions
79
 
80
  - **Standardized Task Name:** `Agibot_g1_Pick_apple`
81
  - **Standardized Task Description:** `Left_arm+pick+apple`
82
  - **Operation Type:** `simgle_arm`
 
 
83
 
84
  ### Sub-Tasks
85
  This dataset includes 3 distinct subtasks:
@@ -95,7 +90,7 @@ This dataset includes 3 distinct subtasks:
95
  - `grasp`
96
 
97
 
98
- ## 🛠️ Hardware & Sensors
99
 
100
  ### Sensors
101
  - `Depth_camera`
@@ -104,8 +99,10 @@ This dataset includes 3 distinct subtasks:
104
  - `Force_sensor`
105
 
106
 
107
- ### Camera Information
108
- ['Camera 1: RGB, 1280x720, 30fps', 'Camera 2: RGB, 1280x720, 30fps', 'Camera 3: Depth, 640x480, 30fps']
 
 
109
 
110
  ### Coordinate System
111
  - **Definition:** `right_hand_frame`
@@ -119,7 +116,7 @@ This dataset includes 3 distinct subtasks:
119
  - **Base Translation:** `meter`
120
  - **Operation Platform Height:** `77.2 cm`
121
 
122
- ## 📊 Dataset Statistics
123
 
124
  | Metric | Value |
125
  |--------|-------|
@@ -137,8 +134,10 @@ This dataset includes 3 distinct subtasks:
137
  | **Camera Views** | 3 |
138
  | **Dataset Size** | 2.7GB |
139
 
 
 
140
 
141
- ## 📂 Data Splits
142
 
143
  The dataset is organized into the following splits:
144
 
@@ -147,7 +146,7 @@ The dataset is organized into the following splits:
147
  - **Test**: Episodes 99:109
148
 
149
 
150
- ## 📁 Dataset Structure
151
 
152
  This dataset follows the LeRobot format and contains the following components:
153
 
@@ -163,71 +162,95 @@ This dataset follows the LeRobot format and contains the following components:
163
  - **Chunking**: Data is organized into 10 chunk(s)
164
  of size 10
165
 
 
166
 
167
- ## 🎥 Camera Views
168
-
169
- This dataset includes 3 camera views.
170
-
171
- ### Features Schema
172
-
173
- The dataset includes the following features:
174
-
175
- #### Visual Observations
176
- - **observation.images.camera_1**: video
177
- - FPS: 30
178
- - Codec: h264
179
-
180
- #### State and Action
181
-
182
- - **observation.state**: float32
183
-
184
-
185
- - **action**: float32
186
-
187
-
188
- #### Temporal Information
189
-
190
- - **timestamp**: float64
191
-
192
-
193
- - **frame_index**: int64
194
-
195
-
196
- - **episode_index**: int64
197
-
198
-
199
-
200
-
201
- #### Annotations
202
-
203
- - **subtask_annotation**: string
204
-
205
-
206
- - **scene_annotation**: string
207
-
208
-
209
- #### Motion Features
210
-
211
- - **eef_sim_pose_state**: float32
212
- - Dimensions: x, y, z, qx, qy, qz, qw
213
-
214
-
215
-
216
-
217
-
218
-
219
-
220
-
221
-
222
- #### Gripper Features
223
-
224
 
 
225
 
 
226
 
 
227
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
228
 
 
229
 
230
- ### Meta Information
231
 
232
  The complete dataset metadata is available in [meta/info.json](meta/info.json):
233
 
@@ -253,44 +276,41 @@ dataset/
253
 
254
  ```
255
 
256
- ## 🏷️ Available Annotations
257
 
258
  This dataset includes rich annotations to support diverse learning approaches:
259
 
 
 
 
 
 
 
 
260
 
261
 
262
-
263
-
264
- ### Additional Features
265
- - **End-Effector Simulation Pose**: 6D pose information for end-effectors in simulation space
266
- - Available for both state and action
267
- - **Gripper Opening Scale**: Continuous gripper opening measurements
268
- - Available for both state and action
269
-
270
-
271
- ## 🏷️ Dataset Tags
272
 
273
  - `RoboCOIN`
274
  - `LeRobot`
275
 
276
 
277
- ## 👥 Authors
278
 
279
  ### Contributors
280
- This dataset is contributed by:
281
- - RoboCOIN
282
- - [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
283
- - RoboCOIN Team
284
 
 
 
285
 
286
- ## 🔗 Links
287
 
288
- - **🏠 Homepage:** [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
289
- - **📄 Paper:** [https://arxiv.org/abs/2511.17441](https://arxiv.org/abs/2511.17441)
290
- - **💻 Repository:** [https://github.com/FlagOpen/RoboCOIN](https://github.com/FlagOpen/RoboCOIN)
291
- - **📜 License:** apache-2.0
292
 
293
- ## 📞 Contact and Support
294
 
295
  For questions, issues, or feedback regarding this dataset, please contact:
296
  - **Email:** robocoin@baai.ac.cn
@@ -298,13 +318,13 @@ For questions, issues, or feedback regarding this dataset, please contact us.
298
  ### Support
299
  For technical support, please open an issue on our GitHub repository.
300
 
301
- ## 📄 License
302
 
303
  This dataset is released under the **apache-2.0** license.
304
 
305
  Please refer to the LICENSE file for full license terms and conditions.
306
 
307
- ## 📚 Citation
308
 
309
  If you use this dataset in your research, please cite:
310
 
@@ -324,7 +344,12 @@ If you use this dataset in your research, please cite:
324
  If you use this dataset, please also consider citing:
325
  - LeRobot Framework: https://github.com/huggingface/lerobot
326
 
327
- ## 📌 Version Information
328
 
329
  ## Version History
330
  - v1.0.0 (2025-11): Initial release
 
 
 
 
 
 
27
  - RoboCOIN
28
  - LeRobot
29
 
 
 
30
  license: apache-2.0
31
 
32
  configs:
 
36
 
37
  # Agibot_g1_Pick_apple
38
 
39
+ ### Overview- **Total Episodes:** 100
40
+ - **Total Frames:** 50000
41
+ - **FPS:** 30
42
+ - **Dataset Size:** 2.7GB
43
+ - **Robot Name:** `Agibot+G1edu-u3`
44
+ - **End-Effector Name:** `Agibot+two_finger_gripper, Agibot+three_finger_gripper`
45
+ - **Scene:** `home-kitchen`
46
+ - **Objects:** `table-furniture-table`,
47
+ `basket-container-basket`
 
 
 
 
 
48
 
49
+ - **Task Description:** Left_arm+pick+apple### Primary Task Instruction
50
  > pick up the apple from the table and place it into the basket.
51
 
52
  ### Robot Configuration
 
54
  - **Robot Name:** `Agibot+G1edu-u3`
55
  - **Robot Type:** `G1edu-u3`
56
  - **Codebase Version:** `v2.1`
57
+ - **End-Effector Name:** `Agibot+two_finger_gripper, Agibot+three_finger_gripper`
58
  - **End-Effector Type:** `two_finger_gripper, three_finger_gripper`
59
  - **Teleoperation Type:** `cable, wireless`
60
 
61
+ ## Scene and Objects
62
 
63
  ### Scene Type
64
  `home-kitchen`
 
68
  - `basket-container-basket`
69
 
70
 
71
+ ## Task Descriptions
72
 
73
  - **Standardized Task Name:** `Agibot_g1_Pick_apple`
74
  - **Standardized Task Description:** `Left_arm+pick+apple`
75
  - **Operation Type:** `simgle_arm`
76
+ - **Task Result:** `success`
77
+ - **Environment Type:** `simulation`
78
 
79
  ### Sub-Tasks
80
  This dataset includes 3 distinct subtasks:
 
90
  - `grasp`
91
 
92
 
93
+ ## Hardware and Sensors
94
 
95
  ### Sensors
96
  - `Depth_camera`
 
99
  - `Force_sensor`
100
 
101
 
102
+ ### Camera Information- Camera 1: RGB, 1280x720, 30fps
103
+ - Camera 2: RGB, 1280x720, 30fps
104
+ - Camera 3: Depth, 640x480, 30fps
105
+
106
 
107
  ### Coordinate System
108
  - **Definition:** `right_hand_frame`
 
116
  - **Base Translation:** `meter`
117
  - **Operation Platform Height:** `77.2 cm`
118
 
119
+ ## Dataset Statistics
120
 
121
  | Metric | Value |
122
  |--------|-------|
 
134
  | **Camera Views** | 3 |
135
  | **Dataset Size** | 2.7GB |
136
 
137
+ - **Frame Range Label:** `10K-100K`
138
+ - **Data Schema:** LeRobot-compatible format with parquet data files and MP4 video files
139
 
140
+ ## Data Splits
141
 
142
  The dataset is organized into the following splits:
143
 
 
146
  - **Test**: Episodes 99:109
147
 
148
 
149
+ ## Dataset Structure
150
 
151
  This dataset follows the LeRobot format and contains the following components:
152
 
 
162
  - **Chunking**: Data is organized into 10 chunk(s)
163
  of size 10
164
 
165
+ ### Data Structure (Tree)
166
 
167
+ ```
168
+ dataset/
169
+ ├── data/
170
+ │ ├── chunk-000/
171
+ │ │ ├── episode_000000.parquet
172
+ │ │ └── episode_000001.parquet
173
+ │ └── chunk-001/
174
+ │ ├── episode_000010.parquet
175
+ │ └── episode_000011.parquet
176
+ ├── videos/
177
+ │ ├── chunk-000/
178
+ │ │ ├── camera_1/
179
+ │ │ │ ├── episode_000000.mp4
180
+ │ │ │ └── episode_000001.mp4
181
+ │ │ └── camera_2/
182
+ │ │ ├── episode_000000.mp4
183
+ │ │ └── episode_000001.mp4
184
+ │ └── chunk-001/
185
+ │ └── ...
186
+ ├── meta/
187
+ │ └── info.json
188
+ └── README.md
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
189
 
190
+ ```
191
 
192
+ ## Camera Views
193
 
194
+ This dataset includes 3 camera views.
195
 
196
+ ## Features (Full YAML)
197
+
198
+ ```yaml
199
+ observation.images.camera_1:
200
+ dtype: video
201
+ shape:
202
+ - 720
203
+ - 1280
204
+ - 3
205
+ names:
206
+ - height
207
+ - width
208
+ - channels
209
+ info:
210
+ video.fps: 30
211
+ video.codec: h264
212
+ observation.state:
213
+ dtype: float32
214
+ shape:
215
+ - 14
216
+ names:
217
+ - joint_1
218
+ - joint_2
219
+ - '...'
220
+ action:
221
+ dtype: float32
222
+ shape:
223
+ - 7
224
+ names:
225
+ - action_1
226
+ - action_2
227
+ - '...'
228
+ timestamp:
229
+ dtype: float64
230
+ frame_index:
231
+ dtype: int64
232
+ episode_index:
233
+ dtype: int64
234
+ subtask_annotation:
235
+ dtype: string
236
+ scene_annotation:
237
+ dtype: string
238
+ eef_sim_pose_state:
239
+ dtype: float32
240
+ shape:
241
+ - 7
242
+ names:
243
+ - x
244
+ - y
245
+ - z
246
+ - qx
247
+ - qy
248
+ - qz
249
+ - qw
250
 
251
+ ```
252
 
253
+ ## Meta Information
254
 
255
  The complete dataset metadata is available in [meta/info.json](meta/info.json):
256
 
 
276
 
277
  ```
278
 
279
+ ## Available Annotations
280
 
281
  This dataset includes rich annotations to support diverse learning approaches:
282
 
283
+ - `subtask_annotation`
284
+ - `scene_annotation`
285
+ - `eef_direction`
286
+ - `eef_velocity`
287
+ - `eef_acc_mag`
288
+ - `gripper_mode`
289
+ - `gripper_activity`
290
 
291
 
292
+ ## Dataset Tags
 
 
 
 
 
 
 
 
 
293
 
294
  - `RoboCOIN`
295
  - `LeRobot`
296
 
297
 
298
+ ## Authors
299
 
300
  ### Contributors
301
+ This dataset is contributed by:-[RoboCOIN](https://flagopen.github.io/RoboCOIN/) - RoboCOIN Team
 
 
 
302
 
303
+ ### Annotators
304
+ This dataset is annotated by:- RoboCOIN- [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)- - RoboCOIN Team
305
 
306
+ ## Links
307
 
308
+ - **Homepage:** [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
309
+ - **Paper:** [https://arxiv.org/abs/2511.17441](https://arxiv.org/abs/2511.17441)
310
+ - **Repository:** [https://github.com/FlagOpen/RoboCOIN](https://github.com/FlagOpen/RoboCOIN)
311
+ - **License:** apache-2.0
312
 
313
+ ## Contact and Support
314
 
315
  For questions, issues, or feedback regarding this dataset, please contact:
316
  - **Email:** robocoin@baai.ac.cn
 
318
  ### Support
319
  For technical support, please open an issue on our GitHub repository.
320
 
321
+ ## License
322
 
323
  This dataset is released under the **apache-2.0** license.
324
 
325
  Please refer to the LICENSE file for full license terms and conditions.
326
 
327
+ ## Citation
328
 
329
  If you use this dataset in your research, please cite:
330
 
 
344
  If you use this dataset, please also consider citing:
345
  - LeRobot Framework: https://github.com/huggingface/lerobot
346
 
347
+ ## Version Information
348
 
349
  ## Version History
350
  - v1.0.0 (2025-11): Initial release
351
+
352
+
353
+ ## Dataset Description
354
+
355
+ This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.