| --- |
| license: odc-by |
| task_categories: |
| - question-answering |
| language: |
| - nl |
| tags: |
| - medical |
| - healthcare |
| - q/a |
| pretty_name: Dutch MIRIAD4.4 |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| This is a translation of the [MIRIAD4.4M dataset](https://huggingface.co/datasets/miriad/miriad-4.4M) using GPT4.1-nano through [PubScience](https://github.com/bramiozo/PubScience). |
|
|
| If you use this work, please cite. |
|
|
| ``` |
| @misc{vanes2026languagecorporadutchmedical, |
| title={Language corpora for the Dutch medical domain}, |
| author={B. van Es}, |
| year={2026}, |
| eprint={2604.25374}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2604.25374}, |
| } |
| ``` |
|
|
| and please cite the original creators of MIRIAD |
| ``` |
| @misc{zheng2025miriadaugmentingllmsmillions, |
| title={MIRIAD: Augmenting LLMs with millions of medical query-response pairs}, |
| author={Qinyue Zheng and Salman Abdullah and Sam Rawal and Cyril Zakka and Sophie Ostmeier and Maximilian Purk and Eduardo Reis and Eric J. Topol and Jure Leskovec and Michael Moor}, |
| year={2025}, |
| eprint={2506.06091}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2506.06091}, |
| } |
| ``` |
