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-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages 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, CanadaPublisher
Association for Computational Linguistics, United StatesPublication 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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Final published version
Related Event
Title
Annual Meeting of the Association for Computational Linguistics
Event type
ConferenceDegree of recognition
International eventDate
09/07/2023 - 14/07/2023Location
TorontoCanada
