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20172026
most citedThe BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

65 citations · 303 across the 22 of their papers we have counts for

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13 papers · 1 filter

cs.CL20254 cited

INTIMA: A Benchmark for Human-AI Companionship Behavior

Lucie-Aimée Kaffee, Giada Pistilli, Yacine Jernite

AI companionship, where users develop emotional bonds with AI systems, has emerged as a significant pattern with positive but also concerning implications. We introduce Interaction…

cs.CL2024

CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models

Giada Pistilli, Alina Leidinger, Yacine Jernite +3

This paper introduces the "CIVICS: Culturally-Informed & Values-Inclusive Corpus for Societal impacts" dataset, designed to evaluate the social and cultural variation of Large Lang…

cs.CL2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi +64

The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase…

cs.CL20231 cited

AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages

Chris Chinenye Emezue, Sanchit Gandhi, Lewis Tunstall +10

The advancement of speech technologies has been remarkable, yet its integration with African languages remains limited due to the scarcity of African speech corpora. To address thi…

cs.CL202365 cited

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Hugo Laurençon, Lucile Saulnier, Thomas Wang +51

As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop,…

cs.CL202241 cited

The Stack: 3 TB of permissively licensed source code

Denis Kocetkov, Raymond Li, Loubna Ben Allal +10

Large Language Models (LLMs) play an ever-increasing role in the field of Artificial Intelligence (AI)--not only for natural language processing but also for code understanding and…