SO101 (real-world: Pick-Place-Lego) — lerobot/svla_so101_pickplace.

SO101 (real-world: Pick-Place-Lego) is a community-collected robotics dataset created with the LeRobot tooling. The Hugging Face dataset entry (lerobot/svla_so101_pickplace) contains 50 real-world pick-and-place demonstrations recorded with an SO-101/so100_follower robot: total_episodes=50, total_frames=11,939, total_videos=100, fps=30. Data is provided in chunked Parquet files (tabular / timeseries) alongside video, and is organized with a single split (train: 0:50). Modalities: video, tabular, timeseries. Format: parquet. License: Apache-2.0. Typical use: imitation learning / vision-language-action evaluation for manipulation tasks (Pick-Place Lego). The dataset was used for evaluation in the SmolVLA paper (arXiv:2506.01844) as a real-world Pick-Place-Lego benchmark; the SmolVLA authors note their model was not pretrained on SO101 data. Source/hub page: https://huggingface.co/datasets/lerobot/svla_so101_pickplace.

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