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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
task_categories:
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| 4 |
+
- robotics
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| 5 |
+
tags:
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| 6 |
+
- LeRobot
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| 7 |
+
- manipulation
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| 8 |
+
- dual-arm
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| 9 |
+
- pick-and-place
|
| 10 |
+
configs:
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| 11 |
+
- config_name: default
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| 12 |
+
data_files: data/*/*.parquet
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| 13 |
+
language:
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| 14 |
+
- en
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| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
# ARX Pick Block Dataset
|
| 18 |
+
|
| 19 |
+
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot) and contains dual-arm robotic manipulation demonstrations for pick-and-place tasks.
|
| 20 |
+
|
| 21 |
+
## Dataset Description
|
| 22 |
+
|
| 23 |
+
- **Homepage:** [https://io-ai.tech](https://io-ai.tech)
|
| 24 |
+
- **License:** Apache-2.0
|
| 25 |
+
|
| 26 |
+
### Task Overview
|
| 27 |
+
|
| 28 |
+
<video src="https://huggingface.co/datasets/io-intelligence/arx_pick_block/resolve/main/arx_pick_block.mp4" width="640" autoplay muted controls loop></video>
|
| 29 |
+
|
| 30 |
+
This dataset contains demonstrations of a dual-arm robotic manipulation task where the robot picks up a block from a desk and places it into a plate.
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| 31 |
+
|
| 32 |
+
### Task Details
|
| 33 |
+
|
| 34 |
+
- **Task Objective:** Pick up the block from the desk and place into plate
|
| 35 |
+
- **Operational Objects:** Block
|
| 36 |
+
- **Operation Duration:** Each operation takes approximately 8 to 15 seconds
|
| 37 |
+
- **Recording Frequency:** 15 Hz
|
| 38 |
+
- **Robot Type:** 7-DOF dual-arm ARX R5A
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| 39 |
+
- **End Effector:** Gripper
|
| 40 |
+
- **Dual-Arm Operation:** Yes
|
| 41 |
+
- **Image Resolution:** 640x480
|
| 42 |
+
- **Camera Positions:** High; Low
|
| 43 |
+
- **Data Content:**
|
| 44 |
+
• Robot's current state (8 joint positions)
|
| 45 |
+
• Robot's next action (8 joint commands)
|
| 46 |
+
• Current camera view images (dual camera setup)
|
| 47 |
+
• Task success score
|
| 48 |
+
|
| 49 |
+
## Dataset Structure
|
| 50 |
+
|
| 51 |
+
[meta/info.json](meta/info.json):
|
| 52 |
+
```json
|
| 53 |
+
{
|
| 54 |
+
"codebase_version": "v3.0",
|
| 55 |
+
"robot_type": "Arx_R5A",
|
| 56 |
+
"total_episodes": 162,
|
| 57 |
+
"total_frames": 35733,
|
| 58 |
+
"total_tasks": 1,
|
| 59 |
+
"chunks_size": 1000,
|
| 60 |
+
"data_files_size_in_mb": 100,
|
| 61 |
+
"video_files_size_in_mb": 500,
|
| 62 |
+
"fps": 15,
|
| 63 |
+
"splits": {
|
| 64 |
+
"train": "0:162"
|
| 65 |
+
},
|
| 66 |
+
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
|
| 67 |
+
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
|
| 68 |
+
"features": {
|
| 69 |
+
"observation.images.camera_high": {
|
| 70 |
+
"dtype": "video",
|
| 71 |
+
"shape": [
|
| 72 |
+
480,
|
| 73 |
+
640,
|
| 74 |
+
3
|
| 75 |
+
],
|
| 76 |
+
"names": [
|
| 77 |
+
"height",
|
| 78 |
+
"width",
|
| 79 |
+
"channels"
|
| 80 |
+
],
|
| 81 |
+
"info": {
|
| 82 |
+
"video.height": 480,
|
| 83 |
+
"video.width": 640,
|
| 84 |
+
"video.codec": "av1",
|
| 85 |
+
"video.pix_fmt": "yuv420p",
|
| 86 |
+
"video.is_depth_map": false,
|
| 87 |
+
"video.fps": 15,
|
| 88 |
+
"video.channels": 3,
|
| 89 |
+
"has_audio": false
|
| 90 |
+
}
|
| 91 |
+
},
|
| 92 |
+
"observation.images.camera_low": {
|
| 93 |
+
"dtype": "video",
|
| 94 |
+
"shape": [
|
| 95 |
+
480,
|
| 96 |
+
640,
|
| 97 |
+
3
|
| 98 |
+
],
|
| 99 |
+
"names": [
|
| 100 |
+
"height",
|
| 101 |
+
"width",
|
| 102 |
+
"channels"
|
| 103 |
+
],
|
| 104 |
+
"info": {
|
| 105 |
+
"video.height": 480,
|
| 106 |
+
"video.width": 640,
|
| 107 |
+
"video.codec": "av1",
|
| 108 |
+
"video.pix_fmt": "yuv420p",
|
| 109 |
+
"video.is_depth_map": false,
|
| 110 |
+
"video.fps": 15,
|
| 111 |
+
"video.channels": 3,
|
| 112 |
+
"has_audio": false
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
"observation.state": {
|
| 116 |
+
"dtype": "float64",
|
| 117 |
+
"shape": [
|
| 118 |
+
8
|
| 119 |
+
],
|
| 120 |
+
"names": [
|
| 121 |
+
"joint1",
|
| 122 |
+
"joint2",
|
| 123 |
+
"joint3",
|
| 124 |
+
"joint4",
|
| 125 |
+
"joint5",
|
| 126 |
+
"joint6",
|
| 127 |
+
"joint7",
|
| 128 |
+
"joint8"
|
| 129 |
+
]
|
| 130 |
+
},
|
| 131 |
+
"action": {
|
| 132 |
+
"dtype": "float64",
|
| 133 |
+
"shape": [
|
| 134 |
+
8
|
| 135 |
+
],
|
| 136 |
+
"names": [
|
| 137 |
+
"joint1",
|
| 138 |
+
"joint2",
|
| 139 |
+
"joint3",
|
| 140 |
+
"joint4",
|
| 141 |
+
"joint5",
|
| 142 |
+
"joint6",
|
| 143 |
+
"joint7",
|
| 144 |
+
"joint8"
|
| 145 |
+
]
|
| 146 |
+
},
|
| 147 |
+
"observation.score": {
|
| 148 |
+
"dtype": "float32",
|
| 149 |
+
"shape": [
|
| 150 |
+
1
|
| 151 |
+
],
|
| 152 |
+
"names": [
|
| 153 |
+
"score"
|
| 154 |
+
]
|
| 155 |
+
},
|
| 156 |
+
"timestamp": {
|
| 157 |
+
"dtype": "float32",
|
| 158 |
+
"shape": [
|
| 159 |
+
1
|
| 160 |
+
],
|
| 161 |
+
"names": []
|
| 162 |
+
},
|
| 163 |
+
"frame_index": {
|
| 164 |
+
"dtype": "int64",
|
| 165 |
+
"shape": [
|
| 166 |
+
1
|
| 167 |
+
],
|
| 168 |
+
"names": []
|
| 169 |
+
},
|
| 170 |
+
"episode_index": {
|
| 171 |
+
"dtype": "int64",
|
| 172 |
+
"shape": [
|
| 173 |
+
1
|
| 174 |
+
],
|
| 175 |
+
"names": []
|
| 176 |
+
},
|
| 177 |
+
"index": {
|
| 178 |
+
"dtype": "int64",
|
| 179 |
+
"shape": [
|
| 180 |
+
1
|
| 181 |
+
],
|
| 182 |
+
"names": []
|
| 183 |
+
},
|
| 184 |
+
"task_index": {
|
| 185 |
+
"dtype": "int64",
|
| 186 |
+
"shape": [
|
| 187 |
+
1
|
| 188 |
+
],
|
| 189 |
+
"names": []
|
| 190 |
+
}
|
| 191 |
+
}
|
| 192 |
+
}
|
| 193 |
+
```
|
| 194 |
+
|
| 195 |
+
## Data Fields
|
| 196 |
+
|
| 197 |
+
| Field | Type | Shape | Description |
|
| 198 |
+
|-------|------|-------|-------------|
|
| 199 |
+
| `observation.images.camera_high` | video | (480, 640, 3) | High camera view |
|
| 200 |
+
| `observation.images.camera_low` | video | (480, 640, 3) | Low camera view |
|
| 201 |
+
| `observation.state` | float64 | (8,) | Joint positions (joint1-joint8) |
|
| 202 |
+
| `action` | float64 | (8,) | Joint commands (joint1-joint8) |
|
| 203 |
+
| `observation.score` | float32 | (1,) | Task success score |
|
| 204 |
+
| `timestamp` | float32 | (1,) | Timestamp |
|
| 205 |
+
| `frame_index` | int64 | (1,) | Frame index within episode |
|
| 206 |
+
| `episode_index` | int64 | (1,) | Episode index |
|
| 207 |
+
| `task_index` | int64 | (1,) | Task index |
|
| 208 |
+
|
| 209 |
+
## Dataset Statistics
|
| 210 |
+
|
| 211 |
+
- **Total Episodes:** 162
|
| 212 |
+
- **Total Frames:** 35,733
|
| 213 |
+
- **Total Tasks:** 1
|
| 214 |
+
- **Frame Rate:** 15 FPS
|
| 215 |
+
- **Data Size:** ~100 MB (parquet files)
|
| 216 |
+
- **Video Size:** ~500 MB (MP4 files)
|
| 217 |
+
- **Chunk Size:** 1000 frames per chunk
|
| 218 |
+
|
| 219 |
+
## Citation
|
| 220 |
+
|
| 221 |
+
If you use this dataset in your research, please cite:
|
| 222 |
+
|
| 223 |
+
```bibtex
|
| 224 |
+
@dataset{arx_pick_block_2024,
|
| 225 |
+
title={ARX Pick Block Dataset},
|
| 226 |
+
author={IO Intelligence},
|
| 227 |
+
year={2024},
|
| 228 |
+
url={https://huggingface.co/datasets/io-intelligence/arx_pick_block},
|
| 229 |
+
license={Apache-2.0}
|
| 230 |
+
}
|
| 231 |
+
```
|
| 232 |
+
|
| 233 |
+
## License
|
| 234 |
+
|
| 235 |
+
This dataset is released under the Apache License 2.0. See the [LICENSE](LICENSE) file for more details.
|
| 236 |
+
|
| 237 |
+
## Contributing
|
| 238 |
+
|
| 239 |
+
Contributions to improve this dataset are welcome! Please feel free to submit issues or pull requests.
|
| 240 |
+
|
| 241 |
+
## Contact
|
| 242 |
+
|
| 243 |
+
For questions or support, please contact us at [https://io-ai.tech](https://io-ai.tech).
|
| 244 |
+
|