Rafael Mosquera-Gomez
Also known as Rafael Mosquera, Rafael Mosquera-Gómez
Rafael Mosquera-Gomez is a machine learning engineer at MLCommons and Factored AI who works on open datasets and benchmarks for multilingual and human-aligned AI. He co-authored the DataPerf benchmark suite in 2022 and the Speech Wikimedia dataset in 2023. In 2024, he was an author of the PRISM Alignment Dataset, which gathered feedback from 1,500 participants in 75 countries and won the Datasets and Benchmarks Best Paper award at NeurIPS 2024. In 2025, he and Sarah Luger wrote MLCommons' announcement of the Unsupervised People's Speech dataset, and in January 2026 he co-chaired the LM4UC workshop at AAAI. He is a core contributor to the MLCommons Datasets Working Group and organizes the Interspeech 2026 Unsupervised Speech in the Wild Challenge.
- Now at
- MLCommons and Factored AI
Timeline
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2022
The DataPerf benchmarks
In July 2022, he is one of the authors of DataPerf, a community-led benchmark suite for evaluating ML datasets and data-centric algorithms. Its first iteration holds five benchmarks in vision, speech, acquisition, debugging, and diffusion prompting.
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2023
Speech Wikimedia dataset
In 2023, he is first author of Speech Wikimedia, a dataset of 1780 hours of CC-BY-SA licensed transcribed speech in 77 languages taken from Wikimedia Commons. The paper is a poster at the Data-centric Machine Learning Research workshop at ICML 2023.
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2024
The PRISM Alignment Dataset
In 2024, he is an author of the PRISM Alignment Dataset, which maps the sociodemographics and stated preferences of 1,500 participants from 75 countries to their feedback in 8,011 live conversations with 21 language models. As an MLCommons engineer and author, he works on a project that extends the Dynabench platform with LLM plugins, new rating scales, and a chat interface.
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2024
A NeurIPS best paper award
The PRISM paper, with twelve authors including him, wins the Datasets and Benchmarks Best Paper award at NeurIPS 2024. Hannah Rose Kirk and Juan Ciro are among his co-authors.
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2025
Unsupervised People's Speech
In January 2025, he and Sarah Luger write MLCommons' announcement of the Unsupervised People's Speech dataset, built with Hugging Face and holding over 1 million hours of audio across dozens of languages. The working group's pipelines find 821,412+ hours of speech in 89 languages. A 2025 LoResMT paper he co-authors for the MLCommons Datasets Working Group describes the dataset and a Common Crawl collaboration on low-resource languages.
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January 2026
Co-chairing LM4UC at AAAI
In January 2026, he is one of eight co-chairs of the Language Models for Underserved Communities (LM4UC) workshop at the AAAI Conference in Singapore, alongside Sarah Luger and Sanmi Koyejo.
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2026
The CommonLID benchmark
In 2026, he co-authors CommonLID, a community-driven, human-annotated language identification benchmark for web text that covers 109 languages. The paper lists him with Factored AI and MLCommons, includes co-authors from Common Crawl Foundation and EleutherAI, and appears in the proceedings of the 64th Annual Meeting of the Association for Computational Linguistics.
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As of October 2026
Engineer at MLCommons, Factored AI
He is a machine learning engineer at MLCommons and Factored AI and a core contributor to the MLCommons Datasets Working Group. He is an organizer of the Unsupervised Speech in the Wild Challenge at Interspeech 2026, which opens in December 2025 and trains self-supervised speech models on the Unsupervised People's Speech dataset.
Career
- NowMLCommonsMachine learning engineer
- NowFactored AIMachine learning engineer
Sources and credits
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- DataPerf: Benchmarks for Data-Centric AI Development
- Speech Wikimedia: A 77 Language Multilingual Speech Dataset | ICML 2023
- Speech Wikimedia: A 77 Language Multilingual Speech Dataset
- The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
- Unveiling the PRISM Alignment Project - MLCommons
- NeurIPS 2024 Awards
- Congratulations to the #NeurIPS2024 award winners - AIhub
- Unsupervised People's Speech: A Massive Multilingual Audio Dataset - MLCommons
- Building Data Infrastructure for Low-Resource Languages - ACL Anthology
- Reports of the Workshops Held at the 2026 AAAI Conference on Artificial Intelligence | Interactive AI Magazine
- AAAI 2026 Workshop: Language Models for Underserved Communities
- CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
- Rafael Mosquera - ACL Anthology
- Unsupervised Speech in the Wild Challenge | Interspeech 2026