A filtered collection of 128 SO-100 datasets from 55 community contributors (about 11k episodes and 5.1M frames), with hand-cleaned task descriptions, released as the pretraining subset for SmolVLA.
lerobot/svla_so101_pickplace
Indexed from Hugging FaceLinked to its home on Hugging Face. FrontierOS indexes it; nothing is hosted or mirrored here.About
Fifty real pick-and-place episodes from a low-cost SO-100/SO-101-class arm, recorded at 30 fps with a side camera and a top-down camera, and used as the SmolVLA fine-tuning example.
Why it matters for physical AI
It shows hobbyists what a small dataset for fine-tuning a policy on an inexpensive open-source arm looks like.
Summary written by FrontierOS in our own words. The upstream card and license govern use. Metadata checked 27 Sep 2026. Read the full card on Hugging Face
Files, weights and version history live on Hugging Face. FrontierOS indexes this repo; it does not host or mirror it.
hf download lerobot/svla_so101_pickplace --repo-type datasetUses the Hugging Face CLI (pip install -U huggingface_hub). This downloads the whole repo; add --include "<pattern>" to fetch only the files you need.
Fine-tuning SmolVLA on an SO-101: what's your recipe?
The SO-101 pick-and-place set is a good template: about fifty episodes with a side and a top-down camera. Most people seem to start from the SmolVLA base checkpoint.
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