Abstract
A large-scale Dutch medical language corpus containing approximately 100 million documents with 35 billion tokens has been created for pre-training and downstream natural language processing tasks.
AI-generated summary
Background: Dutch medical corpora are scarce, limiting NLP development. \\ Methods: We translated English datasets, identified medical text in generic corpora, and extracted open Dutch medical resources. \\ Results: The resulting corpus comprises pm 35 billion tokens across the medical domain in about 100 million documents, freely available on Hugging Face. \\ Conclusion: This work establishes the first large-scale Dutch medical language corpus for pre-training and downstream NLP tasks.
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