Wikimedia data for AI: a review of Wikimedia datasets for NLP tasks and AI-assisted editing
Abstract
Wikimedia data is extensively used in NLP, but opportunities exist for its broader use and better alignment with Wikimedia editors' needs, including through multilingualism and benchmarks based on Wikimedia principles.
Wikimedia content is used extensively by the AI community and within the language modeling community in particular. In this paper, we provide a review of the different ways in which Wikimedia data is curated to use in NLP tasks across pre-training, post-training, and model evaluations. We point to opportunities for greater use of Wikimedia content but also identify ways in which the language modeling community could better center the needs of Wikimedia editors. In particular, we call for incorporating additional sources of Wikimedia data, a greater focus on benchmarks for LLMs that encode Wikimedia principles, and greater multilingualism in Wikimedia-derived datasets.
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