Paper · arXiv
Language corpora for the Dutch medical domain
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 +- 36 billion tokens across the medical domain in about 105 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.
| Authors | B. van Es |
|---|---|
| Primary category | cs.CL |
| Published | 28 April 2026 |
| Last updated at source | 11 August 2026 |
Connected in the knowledge graph
- UMCU/DutchMedicalTextV3Dataset · cited by
- UMCU/MedLlama.nlModel · cited by
- UMCU/DutchMedicalTextV2Dataset · cited by
Models and datasets referencing this paper
- UMCU/MedLlama.nlModel
- UMCU/DutchMedicalTextV2Dataset
- UMCU/DutchMedicalTextV3Dataset
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