A single prompt to an AI agent running FiftyOne Skills pulled 10 episodes from every robot embodiment in the LeRobot community dataset, computed video embeddings with Qwen3-VL, and built a queryable similarity index. Here's the code and the thinking behind it.

The LeRobot community dataset is one of the largest community-built pools of cross-embodiment robot data : 235 contributors, 50 robot types, ~900 GB. Hugging Face's dataset card lists 46 robot types across 791 cleaned datasets. The 50 here come from scanning robot_type in all 1,755 contributor folders, so the two counts cover different sets of datasets. It's organized as 1,755 contributor datasets, one per folder, so picking a balanced slice starts with reading each one's metadata.…