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2.9145636558532715,
2.6522529125213623,
3.908583164215088,
4.381049156188965,
3.120116949081421,
1.5539225339889526
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| 93
| 0
| 93
| 0
|
[
2.9145636558532715,
2.6522529125213623,
3.908583164215088,
4.381049156188965,
3.120116949081421,
1.5539225339889526
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[
2.9145636558532715,
2.6522529125213623,
3.908583164215088,
4.381049156188965,
3.120116949081421,
1.5539225339889526
] | 6.266667
| 94
| 0
| 94
| 0
|
[
2.9145636558532715,
2.6522529125213623,
3.908583164215088,
4.381049156188965,
3.120116949081421,
1.5539225339889526
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[
2.9114956855773926,
2.6599228382110596,
3.899379253387451,
4.379515171051025,
3.117048978805542,
1.5539225339889526
] | 6.333333
| 95
| 0
| 95
| 0
|
[
2.9114956855773926,
2.6599228382110596,
3.899379253387451,
4.379515171051025,
3.117048978805542,
1.5539225339889526
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[
2.9114956855773926,
2.6599228382110596,
3.899379253387451,
4.379515171051025,
3.117048978805542,
1.5539225339889526
] | 6.4
| 96
| 0
| 96
| 0
|
[
2.9114956855773926,
2.6629908084869385,
3.899379253387451,
4.381049156188965,
3.113981008529663,
1.5539225339889526
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[
2.9114956855773926,
2.6629908084869385,
3.899379253387451,
4.381049156188965,
3.113981008529663,
1.5539225339889526
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| 97
| 0
| 97
| 0
|
[
2.9114956855773926,
2.6629908084869385,
3.899379253387451,
4.381049156188965,
3.113981008529663,
1.5539225339889526
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[
2.9114956855773926,
2.692136287689209,
3.899379253387451,
4.374913215637207,
3.113981008529663,
1.5539225339889526
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| 98
| 0
| 98
| 0
|
[
2.9114956855773926,
2.692136287689209,
3.899379253387451,
4.374913215637207,
3.113981008529663,
1.5539225339889526
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[
2.9114956855773926,
2.692136287689209,
3.899379253387451,
4.374913215637207,
3.113981008529663,
1.5539225339889526
] | 6.6
| 99
| 0
| 99
| 0
|
End of preview. Expand
in Data Studio
ChessBot LeRobot Dataset
Vision-language-action (VLA) training dataset for chess piece manipulation with SO-100 robot arm.
Dataset Description
This dataset contains teleoperated demonstrations of a robot arm manipulating chess pieces on a physical chessboard. Each episode captures:
- Global camera: Overhead view of the chessboard (1280x720)
- Gripper camera: Wrist-mounted camera view (224x224)
- Robot state: 6-DOF joint positions
- Actions: Target joint positions
Intended Use
Fine-tuning VLA models (PI0, SmolVLA) for chess manipulation tasks with natural language instructions.
Dataset Structure
lerobot_episodes/
data/ # Parquet files with state/action data
videos/ # MP4 videos per camera
meta/ # Episode metadata and statistics
images/ # Decoded frames (optional)
Citation
If you use this dataset, please cite the ChessBot project.
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