Data & Benchmarks

LeRobot Dataset Format

The LeRobot dataset format is the standardized storage schema used by the LeRobot library for robot demonstration data, organizing synchronized camera streams, proprioceptive states, and actions into episodes with per-frame timestamps and metadata. Tabular data is stored in Parquet with video frames encoded as compressed MP4 for efficient loading, and datasets are versioned and shared through the Hugging Face Hub for direct streaming into training pipelines.

Why it matters for physical AI

Fragmented, incompatible logging formats have long impeded data pooling across labs; a common schema makes community datasets interoperable, which is a precondition for training cross-embodiment robot foundation models.