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.
IPEC-COMMUNITY/bridge_orig_lerobot
Indexed from Hugging FaceLinked to its home on Hugging Face. FrontierOS indexes it; nothing is hosted or mirrored here.About
LeRobot v2.0 conversion of BridgeData V2: about 53k WidowX tabletop and toy-kitchen episodes paired with roughly 20k distinct language instructions.
Why it matters for physical AI
Bridge is a core part of OpenVLA-style pretraining mixes and was recorded on a WidowX arm that many labs already own.
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 IPEC-COMMUNITY/bridge_orig_lerobot --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.