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.
jxu124/OpenX-Embodiment
Indexed from Hugging FaceLinked to its home on Hugging Face. FrontierOS indexes it; nothing is hosted or mirrored here.About
Unofficial community mirror of the Open X-Embodiment collection: about 55 robot sub-datasets repackaged as tar shards, together covering more than a million real trajectories.
Why it matters for physical AI
It is the reference cross-embodiment corpus behind RT-X and many later generalist robot policies.
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 jxu124/OpenX-Embodiment --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.
Which cross-embodiment mix would you pretrain on?
Open X-Embodiment, DROID and BridgeData are the usual building blocks, with LIBERO as the common simulated benchmark.
More robot demonstrations
Browse allA 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.
About 200 human demonstrations in a 2D simulation where a round pusher slides a T-shaped block onto a target outline, stored in LeRobot v3 format.