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Upload dataset AI2_Alphabot_2_write_text

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  1. README.md +614 -0
  2. annotations/camera_params.json +243 -0
  3. annotations/eef_acc_mag_annotation.jsonl +3 -0
  4. annotations/eef_direction_annotation.jsonl +7 -0
  5. annotations/eef_velocity_annotation.jsonl +3 -0
  6. annotations/gripper_activity_annotation.jsonl +4 -0
  7. annotations/gripper_mode_annotation.jsonl +3 -0
  8. data/chunk-000/episode_000000.parquet +3 -0
  9. data/chunk-000/episode_000001.parquet +3 -0
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README.md ADDED
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+ ---
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+ task_categories:
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+ - robotics
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+
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+ language:
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+ - en
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+
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+
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+ 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.'
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+
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+
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+
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+ extra_gated_fields:
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+
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+ Company/Organization:
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+ type: 'text'
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+ description: 'e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"'
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+
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+ Country:
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+ type: 'country'
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+ description: 'e.g., "Germany", "China", "United States"'
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+
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+
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+
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+ tags:
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+ - RoboCOIN
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+ - LeRobot
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+
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+ license: apache-2.0
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+
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+ configs:
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+ - config_name: default
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+ data_files: data/chunk-{id}/episode_{id}.parquet
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+ ---
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+
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+ # AI2_Alphabot_2_write_text
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+
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+ ## Dataset Description
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+
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+ This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
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+
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+ ## Task Preview
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+
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+ <video src="videos/chunk-000/observation.images.cam_front_chest_rgb/episode_000000.mp4" controls width="640"></video>
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+
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+ [View Video Directly](videos/chunk-000/observation.images.cam_front_chest_rgb/episode_000000.mp4)
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+
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+ ### Overview
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+
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+ - **Total Episodes:** 404
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+ - **Total Frames:** 328988
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+ - **FPS:** 30
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+ - **Dataset Size:** 22.25 GB
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+ - **Robot Name:** `AI2_Alphabot_2`
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+ - **End-Effector Type:** `two_finger_end_effector`
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+ - **Teleoperation Type:** `vr_controller`
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+ - **Sensors:** `cam_front_chest_rgb`,
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+ `cam_front_head_rgb`,
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+ `cam_left_wrist_rgb`,
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+ `cam_right_wrist_rgb`
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+
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+ - **Camera Information:** cam_front_chest_rgb;
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+ cam_front_head_rgb;
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+ cam_left_wrist_rgb;
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+ cam_right_wrist_rgb
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+
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+ - **Scene:** `Household->Study Room`
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+ - **Objects:** `writing brush(black)`,
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+ `brush and ink slab(orange)`,
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+ `A4 paper(white)`
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+
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+ - **Task Description:** Pick up the brush from the inkstone, write on the paper, then place the brush back to its original position.
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+
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+
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+ ### Primary Task Instruction
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+ > Pick up the brush from the inkstone, write on the paper, then place the brush back to its original position.
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+
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+ ### Robot Configuration
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+
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+ - **Robot Name:** `AI2_Alphabot_2`
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+ - **Codebase Version:** `v2.1`
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+ - **End-Effector Type:** `two_finger_end_effector`
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+ - **Teleoperation Type:** `vr_controller`
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+
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+ ## Scene and Objects
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+
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+ ### Scene Type
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+ `Household->Study Room`
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+
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+ ### Objects
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+ - `writing brush(black)`
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+ - `brush and ink slab(orange)`
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+ - `A4 paper(white)`
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+
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+
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+ ## Task Descriptions
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+
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+ - **Standardized Task Description:** `Pick up the brush from the inkstone, write on the paper, then place the brush back to its original position.`
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+ - **Operation Type:** `fixed_single_arm`
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+
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+ - **Environment Type:** `real_world`
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+
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+ ### Sub-Tasks
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+ This dataset includes 1 distinct subtasks:
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+
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+ 1. **Pick up the brush from the inkstone, write on the paper, then place the brush back to its original position.**
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+
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+
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+ ### Atomic Actions
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+ - `grasp`
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+ - `pull`
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+ - `place`
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+
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+
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+ ## Hardware and Sensors
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+
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+
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+ ### Sensors
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+
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+ - `cam_front_chest_rgb`
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+
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+ - `cam_front_head_rgb`
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+
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+ - `cam_left_wrist_rgb`
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+
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+ - `cam_right_wrist_rgb`
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+
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+
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+
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+
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+ ### Camera Information
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+
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+
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+ - `cam_front_chest_rgb`: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
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+
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+ - `cam_front_head_rgb`: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
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+
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+ - `cam_left_wrist_rgb`: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
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+
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+ - `cam_right_wrist_rgb`: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
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+
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+
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+
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+
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+ ### Coordinate System
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+ - **Definition:** `right-hand-frame`
147
+
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+
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+ ### Dimensions & Units
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+ - **Joint Rotation:** `radian`
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+ - **End-Effector Rotation:** `radian`
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+ - **End-Effector Translation:** `meter`
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+
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+
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+
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+
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+ ## Dataset Statistics
158
+
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+ | Metric | Value |
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+ |--------|-------|
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+ | **Total Episodes** | 404 |
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+ | **Total Frames** | 328988 |
163
+ | **Total Tasks** | 1 |
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+ | **Total Videos** | 1616 |
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+ | **Total Chunks** | 1 |
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+ | **Chunk Size** | 1000 |
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+ | **FPS** | 30 |
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+ | **State Dimensions** | 34 |
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+ | **Action Dimensions** | 34 |
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+ | **Camera Views** | 4 |
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+ | **Dataset Size** | 22.25 GB |
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+
173
+
174
+ ## Data Splits
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+
176
+ The dataset is organized into the following splits:
177
+
178
+ - **Training**: Episodes 0:403
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+
180
+
181
+ ## Dataset Structure
182
+
183
+ This dataset follows the LeRobot format and contains the following components:
184
+
185
+ ### Data Files
186
+ - **Videos**: Compressed video files containing RGB camera observations
187
+ - **State Data**: Robot joint positions, velocities, and other state information
188
+ - **Action Data**: Robot action commands and trajectories
189
+ - **Metadata**: Episode metadata, timestamps, and annotations
190
+
191
+ ### File Organization
192
+ - **Data Path Pattern**: `data/chunk-{id}/episode_{id}.parquet`
193
+ - **Video Path Pattern**: `videos/chunk-{id}/observation.images.cam_front_chest_rgb/episode_{id}.mp{id}`
194
+ - **Chunking**: Data is organized into 1 chunk(s)
195
+ of size 1000
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+
197
+ ### Data Structure (Tree)
198
+
199
+ ```
200
+ AI2_Alphabot_2_write_text_0_qced_hardlink/
201
+ |-- annotations
202
+ | |-- camera_params.json
203
+ | |-- eef_acc_mag_annotation.jsonl
204
+ | |-- eef_direction_annotation.jsonl
205
+ | |-- eef_velocity_annotation.jsonl
206
+ | |-- gripper_activity_annotation.jsonl
207
+ | `-- gripper_mode_annotation.jsonl
208
+ |-- data
209
+ | `-- chunk-000
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+ | |-- episode_000000.parquet
211
+ | |-- episode_000001.parquet
212
+ | |-- episode_000002.parquet
213
+ | |-- episode_000003.parquet
214
+ | |-- episode_000004.parquet
215
+ | |-- episode_000005.parquet
216
+ | |-- episode_000006.parquet
217
+ | |-- episode_000007.parquet
218
+ | |-- episode_000008.parquet
219
+ | |-- episode_000009.parquet
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+ | |-- episode_000010.parquet
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+ | `-- episode_000011.parquet
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+ | `-- ... (392 more entries)
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+ |-- meta
224
+ | |-- episodes.jsonl
225
+ | |-- episodes_stats.jsonl
226
+ | |-- info.json
227
+ | `-- tasks.jsonl
228
+ |-- videos
229
+ | `-- chunk-000
230
+ | |-- observation.images.cam_front_chest_rgb
231
+ | |-- observation.images.cam_front_head_rgb
232
+ | |-- observation.images.cam_left_wrist_rgb
233
+ | `-- observation.images.cam_right_wrist_rgb
234
+ `-- info.yaml
235
+ ```
236
+
237
+ ## Camera Views
238
+
239
+
240
+
241
+
242
+
243
+
244
+ This dataset includes 4 camera views: `cam_front_chest_rgb`, `cam_front_head_rgb`, `cam_left_wrist_rgb`, `cam_right_wrist_rgb`.
245
+
246
+
247
+ ## Features (Full YAML)
248
+
249
+ ```yaml
250
+ observation.images.cam_front_chest_rgb:
251
+ dtype: video
252
+ shape:
253
+ - 480
254
+ - 640
255
+ - 3
256
+ names:
257
+ - height
258
+ - width
259
+ - channels
260
+ info:
261
+ video.height: 480
262
+ video.width: 640
263
+ video.codec: av1
264
+ video.pix_fmt: yuv420p
265
+ video.is_depth_map: false
266
+ video.fps: 30
267
+ video.channels: 3
268
+ has_audio: false
269
+ observation.images.cam_front_head_rgb:
270
+ dtype: video
271
+ shape:
272
+ - 480
273
+ - 640
274
+ - 3
275
+ names:
276
+ - height
277
+ - width
278
+ - channels
279
+ info:
280
+ video.height: 480
281
+ video.width: 640
282
+ video.codec: av1
283
+ video.pix_fmt: yuv420p
284
+ video.is_depth_map: false
285
+ video.fps: 30
286
+ video.channels: 3
287
+ has_audio: false
288
+ observation.images.cam_left_wrist_rgb:
289
+ dtype: video
290
+ shape:
291
+ - 480
292
+ - 640
293
+ - 3
294
+ names:
295
+ - height
296
+ - width
297
+ - channels
298
+ info:
299
+ video.height: 480
300
+ video.width: 640
301
+ video.codec: av1
302
+ video.pix_fmt: yuv420p
303
+ video.is_depth_map: false
304
+ video.fps: 30
305
+ video.channels: 3
306
+ has_audio: false
307
+ observation.images.cam_right_wrist_rgb:
308
+ dtype: video
309
+ shape:
310
+ - 480
311
+ - 640
312
+ - 3
313
+ names:
314
+ - height
315
+ - width
316
+ - channels
317
+ info:
318
+ video.height: 480
319
+ video.width: 640
320
+ video.codec: av1
321
+ video.pix_fmt: yuv420p
322
+ video.is_depth_map: false
323
+ video.fps: 30
324
+ video.channels: 3
325
+ has_audio: false
326
+ observation.state:
327
+ dtype: float32
328
+ shape:
329
+ - 34
330
+ names:
331
+ - left_arm_joint_1_rad
332
+ - left_arm_joint_2_rad
333
+ - left_arm_joint_3_rad
334
+ - left_arm_joint_4_rad
335
+ - left_arm_joint_5_rad
336
+ - left_arm_joint_6_rad
337
+ - left_arm_joint_7_rad
338
+ - left_eef_pos_x_m
339
+ - left_eef_pos_y_m
340
+ - left_eef_pos_z_m
341
+ - left_eef_rot_euler_x_rad
342
+ - left_eef_rot_euler_y_rad
343
+ - left_eef_rot_euler_z_rad
344
+ - right_arm_joint_1_rad
345
+ - right_arm_joint_2_rad
346
+ - right_arm_joint_3_rad
347
+ - right_arm_joint_4_rad
348
+ - right_arm_joint_5_rad
349
+ - right_arm_joint_6_rad
350
+ - right_arm_joint_7_rad
351
+ - right_eef_pos_x_m
352
+ - right_eef_pos_y_m
353
+ - right_eef_pos_z_m
354
+ - right_eef_rot_euler_x_rad
355
+ - right_eef_rot_euler_y_rad
356
+ - right_eef_rot_euler_z_rad
357
+ - left_gripper_open
358
+ - right_gripper_open
359
+ - neck_joint_1_rad
360
+ - neck_joint_2_rad
361
+ - torso_joint_1_rad
362
+ - torso_joint_2_rad
363
+ - torso_joint_3_rad
364
+ - torso_joint_4_rad
365
+ action:
366
+ dtype: float32
367
+ shape:
368
+ - 34
369
+ names:
370
+ - left_arm_joint_1_rad
371
+ - left_arm_joint_2_rad
372
+ - left_arm_joint_3_rad
373
+ - left_arm_joint_4_rad
374
+ - left_arm_joint_5_rad
375
+ - left_arm_joint_6_rad
376
+ - left_arm_joint_7_rad
377
+ - left_eef_pos_x_m
378
+ - left_eef_pos_y_m
379
+ - left_eef_pos_z_m
380
+ - left_eef_rot_euler_x_rad
381
+ - left_eef_rot_euler_y_rad
382
+ - left_eef_rot_euler_z_rad
383
+ - right_arm_joint_1_rad
384
+ - right_arm_joint_2_rad
385
+ - right_arm_joint_3_rad
386
+ - right_arm_joint_4_rad
387
+ - right_arm_joint_5_rad
388
+ - right_arm_joint_6_rad
389
+ - right_arm_joint_7_rad
390
+ - right_eef_pos_x_m
391
+ - right_eef_pos_y_m
392
+ - right_eef_pos_z_m
393
+ - right_eef_rot_euler_x_rad
394
+ - right_eef_rot_euler_y_rad
395
+ - right_eef_rot_euler_z_rad
396
+ - left_gripper_open
397
+ - right_gripper_open
398
+ - neck_joint_1_rad
399
+ - neck_joint_2_rad
400
+ - torso_joint_1_rad
401
+ - torso_joint_2_rad
402
+ - torso_joint_3_rad
403
+ - torso_joint_4_rad
404
+ timestamp:
405
+ dtype: float32
406
+ shape:
407
+ - 1
408
+ names: null
409
+ frame_index:
410
+ dtype: int64
411
+ shape:
412
+ - 1
413
+ names: null
414
+ episode_index:
415
+ dtype: int64
416
+ shape:
417
+ - 1
418
+ names: null
419
+ index:
420
+ dtype: int64
421
+ shape:
422
+ - 1
423
+ names: null
424
+ task_index:
425
+ dtype: int64
426
+ shape:
427
+ - 1
428
+ names: null
429
+ gripper_open_scale_state:
430
+ names:
431
+ - left_gripper_open_scale
432
+ - right_gripper_open_scale
433
+ dtype: float64
434
+ shape:
435
+ - 2
436
+ gripper_open_scale_action:
437
+ names:
438
+ - left_gripper_open_scale
439
+ - right_gripper_open_scale
440
+ dtype: float64
441
+ shape:
442
+ - 2
443
+ eef_sim_pose_state:
444
+ names:
445
+ - left_eef_pos_x
446
+ - left_eef_pos_y
447
+ - left_eef_pos_z
448
+ - left_eef_rot_x
449
+ - left_eef_rot_y
450
+ - left_eef_rot_z
451
+ - right_eef_pos_x
452
+ - right_eef_pos_y
453
+ - right_eef_pos_z
454
+ - right_eef_rot_x
455
+ - right_eef_rot_y
456
+ - right_eef_rot_z
457
+ dtype: float32
458
+ shape:
459
+ - 12
460
+ eef_sim_pose_action:
461
+ names:
462
+ - left_eef_pos_x
463
+ - left_eef_pos_y
464
+ - left_eef_pos_z
465
+ - left_eef_rot_x
466
+ - left_eef_rot_y
467
+ - left_eef_rot_z
468
+ - right_eef_pos_x
469
+ - right_eef_pos_y
470
+ - right_eef_pos_z
471
+ - right_eef_rot_x
472
+ - right_eef_rot_y
473
+ - right_eef_rot_z
474
+ dtype: float32
475
+ shape:
476
+ - 12
477
+ eef_direction_state:
478
+ names:
479
+ - left_eef_direction
480
+ - right_eef_direction
481
+ dtype: int32
482
+ shape:
483
+ - 2
484
+ eef_direction_action:
485
+ names:
486
+ - left_eef_direction
487
+ - right_eef_direction
488
+ dtype: int32
489
+ shape:
490
+ - 2
491
+ eef_velocity_state:
492
+ names:
493
+ - left_eef_velocity
494
+ - right_eef_velocity
495
+ dtype: int32
496
+ shape:
497
+ - 2
498
+ eef_velocity_action:
499
+ names:
500
+ - left_eef_velocity
501
+ - right_eef_velocity
502
+ dtype: int32
503
+ shape:
504
+ - 2
505
+ eef_acc_mag_state:
506
+ names:
507
+ - left_eef_acc_mag
508
+ - right_eef_acc_mag
509
+ dtype: int32
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+ shape:
511
+ - 2
512
+ eef_acc_mag_action:
513
+ names:
514
+ - left_eef_acc_mag
515
+ - right_eef_acc_mag
516
+ dtype: int32
517
+ shape:
518
+ - 2
519
+ gripper_mode_state:
520
+ names:
521
+ - left_gripper_mode
522
+ - right_gripper_mode
523
+ dtype: int32
524
+ shape:
525
+ - 2
526
+ gripper_mode_action:
527
+ names:
528
+ - left_gripper_mode
529
+ - right_gripper_mode
530
+ dtype: int32
531
+ shape:
532
+ - 2
533
+ gripper_activity_state:
534
+ names:
535
+ - left_gripper_activity
536
+ - right_gripper_activity
537
+ dtype: int32
538
+ shape:
539
+ - 2
540
+ gripper_activity_action:
541
+ names:
542
+ - left_gripper_activity
543
+ - right_gripper_activity
544
+ dtype: int32
545
+ shape:
546
+ - 2
547
+
548
+ ```
549
+
550
+ ## Available Annotations
551
+
552
+ This dataset includes rich annotations to support diverse learning approaches:
553
+
554
+ - `camera_params.json`
555
+ - `eef_acc_mag_annotation.jsonl`
556
+ - `eef_direction_annotation.jsonl`
557
+ - `eef_velocity_annotation.jsonl`
558
+ - `gripper_activity_annotation.jsonl`
559
+ - `gripper_mode_annotation.jsonl`
560
+
561
+
562
+ ## Dataset Tags
563
+
564
+ - `RoboCOIN`
565
+ - `LeRobot`
566
+
567
+
568
+ ## Authors
569
+
570
+ ### Contributors
571
+ This dataset is contributed by:-RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
572
+
573
+ ### Annotators
574
+ No annotator information available.
575
+
576
+ ## Links
577
+
578
+ - **Homepage:** [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
579
+ - **Paper:** [https://arxiv.org/abs/2511.17441](https://arxiv.org/abs/2511.17441)
580
+ - **Repository:** [https://github.com/FlagOpen/RoboCOIN](https://github.com/FlagOpen/RoboCOIN)
581
+ ## Contact and Support
582
+
583
+ For questions, issues, or feedback regarding this dataset, please contact us.
584
+ ### Support
585
+ For technical support, please open an issue on our GitHub repository.
586
+
587
+ ## License
588
+
589
+ apache-2.0
590
+
591
+ ## Citation
592
+
593
+ If you use this dataset in your research, please cite:
594
+
595
+ ```bibtex
596
+ @article{robocoin,
597
+ title={RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation},
598
+ 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},
599
+ journal={arXiv preprint arXiv:2511.17441},
600
+ url = {https://arxiv.org/abs/2511.17441},
601
+ year={2025},
602
+ }
603
+
604
+ ```
605
+
606
+ ### Additional References
607
+
608
+ If you use this dataset, please also consider citing:
609
+ LeRobot Framework: https://github.com/huggingface/lerobot
610
+
611
+
612
+ ## Version Information
613
+
614
+ Initial Release
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