Multilingual Spoken Words Corpus. - Mark Mazumder; Sharad Chitlangia; Colby R. Banbury; Yiping Kang; Juan Ciro; Keith Achorn; Daniel Galvez; Mark Sabini; Peter Mattson; David Kanter; Greg Diamos; Pete Warden; et al. (NeurIPS Datasets and Benchmarks, 2021)

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. - Daniel Galvez; Greg Diamos; Juan Ciro; Juan Felipe Cerón; Keith Achorn; Anjali Gopi; David Kanter; Maximilian Lam; Mark Mazumder; Vijay Janapa Reddi (CoRR, 2021)

LSH methods for data deduplication in a Wikipedia artificial dataset. - Juan Ciro; Daniel Galvez; Tim Schlippe; David Kanter (CoRR, 2021)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. - Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; Max Bartolo; Oana Inel; Juan Ciro; Rafael Mosquera; Addison Howard; Will Cukierski; D. Sculley; Vijay Janapa Reddi; et al. (CoRR, 2023)

Speech Wikimedia: A 77 Language Multilingual Speech Dataset. - Rafael Mosquera Gómez; Julián Eusse; Juan Ciro; Daniel Galvez; Ryan Hileman; Kurt D. Bollacker; David Kanter (CoRR, 2023)

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. - Jessica Quaye; Alicia Parrish; Oana Inel; Charvi Rastogi; Hannah Rose Kirk; Minsuk Kahng; Erin van Liemt; Max Bartolo; Jess Tsang; Justin White; Nathan Clement; Rafael Mosquera; et al. (FAccT, 2024)

The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. - Hannah Rose Kirk; Alexander Whitefield; Paul Röttger; Andrew M. Bean; Katerina Margatina; Rafael Mosquera Gómez; Juan Ciro; Max Bartolo; Adina Williams; He He 001; Bertie Vidgen; Scott Hale (NeurIPS, 2024)

The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. - Hannah Rose Kirk; Alexander Whitefield; Paul Röttger; Andrew M. Bean; Katerina Margatina; Juan Ciro; Rafael Mosquera; Max Bartolo; Adina Williams; He He 001; Bertie Vidgen; Scott A. Hale (CoRR, 2024)

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. - Alex Warstadt; Aaron Mueller; Leshem Choshen; Ethan Wilcox; Chengxu Zhuang; Juan Ciro; Rafael Mosquera; Bhargavi Paranjape; Adina Williams; Tal Linzen; Ryan Cotterell (CoRR, 2025)

Clinical knowledge in LLMs does not translate to human interactions. - Andrew M. Bean; Rebecca Payne; Guy Parsons; Hannah Rose Kirk; Juan Ciro; Rafael Mosquera; Sara Hincapié Monsalve; Aruna S. Ekanayaka; Lionel Tarassenko; Luc Rocher; Adam Mahdi (CoRR, 2025)