Unitree open-sources humanoid teleoperation dataset

This is the kind of release that matters more than another flashy robot demo: humanoid progress is data-starved, and Unitree is now publishing the trajectories instead of just the footage.

• –Real-robot teleop traces are far more useful than a polished clip for imitation learning, policy pretraining, and world-model work.
• –The household task mix is practical, not theatrical, which makes it more useful for general-purpose manipulation than stunt-only benchmarks.
• –The Hugging Face, Parquet, and LeRobot setup lowers the barrier for labs to ingest, remix, and benchmark against the data.
• –This also fits Unitree’s broader play: hardware, datasets, and model tooling are converging into one embodied-AI stack.