Wikimedia Enterprise has released a dataset featuring structured English and French Wikipedia content designed for machine learning workflows. Instead of relying on raw article scraping, users can access clean, machine-readable files containing article abstracts, short descriptions of topics, and segmented article sections. This dataset makes it easier for developers to train models, fine-tune language systems, and benchmark natural language processing (NLP) tools.
Training AI Models on Wikipedia Content
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