SO100 (real-world: Pick-Place, Stacking, Sorting).

Three small real-world robot manipulation datasets collected using the SO-100 (SO100) robot and released on the Hugging Face Hub. The datasets correspond to three tasks: Pick-Place, Stacking, and Sorting. According to the SmolVLA paper (arXiv:2506.01844) each dataset contains 10 trajectories from each of 5 starting positions (50 demonstrations total) and is scored with fine-grained subtasks. The released data on Hugging Face uses the LeRobot dataset format (parquet/Timeseries + video frames), is provided under an Apache-2.0 compatible license, and is intended for training and evaluating vision-language-action and robotics models. Representative Hugging Face dataset pages include fracapuano/so100_test and related so100 repositories.

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