Zarr Format

A chunked, compressed array storage format designed for large N-dimensional arrays. Zarr stores data in a directory of compressed chunks, enabling parallel I/O, lazy loading, and cloud-native storage. In robot learning, Zarr is used by some frameworks (notably robomimic) as an alternative to HDF5 for storing large demonstration datasets with efficient random access.