  Soundata is a Python library for loading and working with audio datasets in a
standardized way, removing the need for writing custom loaders in every
project, and improving reproducibility by providing tools to validate data
against a canonical version. It speeds up research pipelines by allowing users
to quickly download a dataset, load it into memory in a standardized and
reproducible way, validate that the dataset is complete and correct, and more.
Soundata is based and inspired on mirdata and design to complement mirdata by
working with environmental sound, bioacoustic and speech datasets, among
others. Soundata was created to be easy to use, easy to contribute to, and to
increase reproducibility and standardize usage of sound datasets in a flexible
way.
