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Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
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McMillan-Major, Angelina; Alyafeai, Zaid; Biderman, Stella; Chen, Kimbo; De Toni, Francesco; Dupont, Gérard; Elsahar, Hady; Emezue, Chris; Aji, Alham Fikri; Ilić, Suzana; Khamis, Nurulaqilla; Leong, Colin; Masoud, Maraim; Soroa, Aitor; Ortiz Suarez, Pedro; Talat, Zeerak; van Strien, Daniel; Jernite, Yacine
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In: https://hal.inria.fr/hal-03550289 ; 2022 (2022)
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Abstract:
8 pages plus appendix and references ; In recent years, large-scale data collection efforts have prioritized the amount of data collected in order to improve the modeling capabilities of large language models. This prioritization, however, has resulted in concerns with respect to the rights of data subjects represented in data collections, particularly when considering the difficulty in interrogating these collections due to insufficient documentation and tools for analysis. Mindful of these pitfalls, we present our methodology for a documentation-first, human-centered data collection project as part of the BigScience initiative. We identified a geographically diverse set of target language groups (Arabic, Basque, Chinese, Catalan, English, French, Indic languages, Indonesian, Niger-Congo languages, Portuguese, Spanish, and Vietnamese, as well as programming languages) for which to collect metadata on potential data sources. To structure this effort, we developed our online catalogue as a supporting tool for gathering metadata through organized public hackathons. We present our development process; analyses of the resulting resource metadata, including distributions over languages, regions, and resource types; and our lessons learned in this endeavor.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Applications; Collaborative Resource Construction & Crowdsourcing; LR Infrastructures and Architectures; Systems; Tools
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URL: https://hal.inria.fr/hal-03550289
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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
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In: Proceedings of the International Workshop on Challenges & Perspectives in Creating Large Language Models 2022 (BigScience 2022) ; https://hal.inria.fr/hal-03639144 ; Proceedings of the International Workshop on Challenges & Perspectives in Creating Large Language Models 2022 (BigScience 2022), May 2022, Dublin, France (2022)
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A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
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In: Journal of Open Humanities Data; Vol 8 (2022); 3 ; 2059-481X (2022)
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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0 ...
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