Datasets:
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README.md
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data_files: data/*/*.parquet
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---
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## Dataset Description
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- **Homepage:** [More Information Needed]
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- **Paper:** [More Information Needed]
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- **License:** apache-2.0
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data_files: data/*/*.parquet
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---
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## Intro
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Imagine robots in hospitals handling human tissue during surgery.
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In restaurants, assembling your burger without crushing the tomato. In agriculture, picking ripe fruit without bruising.
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In elder care, helping dress someone with the gentleness of a human touch.
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This simple donut isn't just a snack on a stick—it's proof that robots can learn the subtle art of being gentle. And that changes everything.
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## Team
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- [Kirill Kolesnik](https://www.linkedin.com/in/kirill-kolesnik/)
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- [Andrei Pavlov](https://www.linkedin.com/in/andrei-pavlov/)
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- [Sergey Iakovlev](https://www.linkedin.com/in/siakovlev/)
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Video (robot trained using this dataset, ACT policy for 40k steps): [link](https://huggingface.co/datasets/LeRobot-worldwide-hackathon/submissions/discussions/11)
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Recording config:
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```
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python -m lerobot.record \
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--robot.type=so101_follower \
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--robot.port=/dev/tty.usbmodem5A460850691 \
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--robot.cameras="{usb: {type: opencv, index_or_path: 0, width: 640, height: 480, fps: 30},
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wrist: {type: opencv, index_or_path: 1, width: 640, height: 480, fps: 30}}" \
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--robot.id=purple \
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--teleop.type=so101_leader \
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--teleop.port=/dev/tty.usbmodem5A460837821 \
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--teleop.id=lead \
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--dataset.repo_id=siakovlev/forloop_donut_on_stick_020_val \
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--dataset.episode_time_s=15 \
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--dataset.reset_time_s=5 \
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--dataset.num_episodes=20 \
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--dataset.single_task="Donut on stick" \
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--display_data=true
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```
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
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## Dataset Description
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- **Homepage:** [More Information Needed]
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- **Paper:** [More Information Needed]
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- **License:** apache-2.0
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