  The scale, variety, and quantity of publicly-available NLP datasets has grown
rapidly as researchers propose new tasks, larger models, and novel benchmarks.
Datasets is a community library for contemporary NLP designed to support this
ecosystem. Datasets aims to standardize end-user interfaces, versioning, and
documentation, while providing a lightweight front-end that behaves similarly
for small datasets as for internet-scale corpora. The design of the library
incorporates a distributed, community-driven approach to adding datasets and
documenting usage. After a year of development, the library now includes more
than 650 unique datasets, has more than 250 contributors, and has helped
support a variety of novel cross-dataset research projects and shared tasks.
The library is available at https://github.com/huggingface/datasets.
