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The ROOTS Search Tool: Data Transparency for LLMs

  • Aleksandra Piktus
    ,
  • Christopher Akiki
    ,
  • Paulo Villegas
    ,
  • Hugo Laurençon
    ,
  • Gérard Dupont
    ,
  • Sasha Luccioni
  • Hugging Face
    ,
  • Sapienza University of Rome
    ,
  • Leipzig University
    ,
  • ScaDS.AI
    ,
  • Telefonica Research, Madrid
    ,
  • Mavenoid
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 304-314 (11 pages)

Publication milestones

  • Published - 01/07/2023

Publication status

Published - 01/07/2023

Place of publication

Toronto, Canada

Publisher

Association for Computational Linguistics, United States

Publication IDs

  • Scopus: 85173514562

Host publication title

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

Abstract

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: https://huggingface.co/spaces/bigscience-data/roots-search. We describe our implementation and the possible use cases of our tool.

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Captures
38
Citations
22

Related Event

Title

Annual Meeting of the Association for Computational Linguistics

Event type

Conference

Degree of recognition

International event

Date

09/07/2023 - 14/07/2023

Location

TorontoCanada