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README.md
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---
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license: apache-2.0
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task_categories:
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- robotics
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tags:
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- robotics
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- lerobot
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- so100
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- imitation-learning
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- arabic
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---
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# Baseer — serums dataset (`baseer_serums`)
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LeRobot dataset for the [**Baseer**](https://github.com/fatma936-sudo/baseer) project — an
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Arabic voice-controlled assistive SO-100 arm (Fanar hackathon, Theme 4).
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Teleoperated demonstrations of grasping a **hair serum** or **face serum** from a vanity table
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and placing it at a fixed delivery zone, at varied object positions.
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## Contents
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- **28 episodes** = 13 hair serum + 15 face serum
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- Single front camera, **640×480 @ 30 fps**, LeRobot format
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- 15,965 frames; 6-DoF state + action (SO-100, Feetech STS3215)
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- Two language tasks:
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- `Pick up the hair serum and place it in the delivery zone`
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- `Pick up the face serum and place it in the delivery zone`
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Quality-checked: firm gripper closes on every episode (travel 68–100), no calibration/wrist anomalies.
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## Trained model
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[`55CancriE/baseer-smolvla-serums`](https://huggingface.co/55CancriE/baseer-smolvla-serums)
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— SmolVLA, 20k steps, final loss 0.012.
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## Usage (LeRobot)
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```python
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from lerobot.datasets.lerobot_dataset import LeRobotDataset
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ds = LeRobotDataset("55CancriE/baseer_serums")
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print(ds.num_episodes, ds.num_frames, ds.fps)
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```
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*Project: [github.com/fatma936-sudo/baseer](https://github.com/fatma936-sudo/baseer) · [project page](https://fatma936-sudo.github.io/baseer/)*
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