{"paper":{"title":"Datasets: A Community Library for Natural Language Processing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Abhishek Thakur, Albert Villanova del Moral, Alexander M. Rush, Angelina McMillan-Major, Bhavitvya Malik, Canwen Xu, Cl\\'ement Delangue, Fran\\c{c}ois Lagunas, Gunjan Chhablani, Joe Davison, Julien Chaumond, Julien Plu, Lewis Tunstall, Lysandre Debut, Mariama Drame, Mario \\v{S}a\\v{s}ko, Nicolas Patry, Patrick von Platen, Philipp Schmid, Pierric Cistac, Quentin Lhoest, Simon Brandeis, Stas Bekman, Suraj Patil, Sylvain Gugger, Teven Le Scao, Th\\'eo Matussi\\`ere, Thibault Goehringer, Thomas Wolf, Victor Mustar, Victor Sanh, Yacine Jernite","submitted_at":"2021-09-07T03:59:22Z","abstract_excerpt":"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 libra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.02846","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2109.02846/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}