The ROOTS Search Tool: Data Transparency for LLMs

Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Sasha Luccioni, Yacine Jernite, Anna Rogers

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


ROOTS is a 1.6TB multilingual text corpus developed for the training of BLOOM, currently the largest language model explicitly accompanied by commensurate data governance efforts. In continuation of these efforts, we present the ROOTS Search Tool: a search engine over the entire ROOTS corpus offering both fuzzy and exact search capabilities. ROOTS is the largest corpus to date that can be investigated this way. The ROOTS Search Tool is open-sourced and available on Hugging Face Spaces: We describe our implementation and the possible use cases of our tool.
Original languageEnglish
Title of host publicationProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Number of pages11
Place of PublicationToronto, Canada
PublisherAssociation for Computational Linguistics
Publication date1 Jul 2023
Publication statusPublished - 1 Jul 2023


Dive into the research topics of 'The ROOTS Search Tool: Data Transparency for LLMs'. Together they form a unique fingerprint.

Cite this