Datasets: A Community Library for Natural Language Processing

Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško (+20 others)
2021 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations   unpublished
The scale, variety, and quantity of publiclyavailable 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,
more » ... ty-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 crossdataset research projects and shared tasks. The library is available at https://github. com/huggingface/datasets.
doi:10.18653/v1/2021.emnlp-demo.21 fatcat:xcrrfkmwkrezrmlnndz4hgfumi