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README.md
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num_examples: 8384
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download_size: 931750
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dataset_size: 2282530
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---
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# Dataset Card for "HealthAdvice_Dutch_translated_with_MariaNMT"
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num_examples: 8384
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download_size: 931750
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dataset_size: 2282530
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license: afl-3.0
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task_categories:
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- text-classification
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- question-answering
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- sentence-similarity
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language:
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- nl
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tags:
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- healthcare
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pretty_name: HealthAdvice_Dutch
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for "HealthAdvice_Dutch_translated_with_MariaNMT"
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Translation of the **English** version of [HealthAdvice](https://huggingface.co/datasets/medalpaca/medical_meadow_health_advice),
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to **Dutch** using an [Maria NMT model](https://marian-nmt.github.io/), trained by [Helsinki NLP](https://huggingface.co/Helsinki-NLP/opus-mt-en-nl).
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Note, for reference: Maria NMT is based on [BART](https://huggingface.co/docs/transformers/model_doc/bart), described [here](https://arxiv.org/abs/1910.13461).
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Note:
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We do **not** have the full sample count of the original MedQA due to exceedance of the maximum window size.
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In updated version we will use stride to translate complete documents.
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# Attribution
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If you use this dataset please use the following to credit the creators of the Health Advice corpus:
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```citation
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@inproceedings{yu-etal-2019-detecting,
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title = "Detecting Causal Language Use in Science Findings",
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author = "Yu, Bei and
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Li, Yingya and
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Wang, Jun",
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booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
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month = nov,
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year = "2019",
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address = "Hong Kong, China",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/D19-1473",
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doi = "10.18653/v1/D19-1473",
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pages = "4664--4674",
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}
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```
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The creators of the OPUS-MT models:
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```
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@InProceedings{TiedemannThottingal:EAMT2020,
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author = {J{\"o}rg Tiedemann and Santhosh Thottingal},
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title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld},
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booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)},
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year = {2020},
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address = {Lisbon, Portugal}
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}
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```
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and
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```
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@misc {van_es_2023,
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author = { {Bram van Es} },
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title = { MedQA_Dutch_translated_with_MariaNMT (Revision 7e88c9e) },
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year = 2023,
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url = { https://huggingface.co/datasets/UMCU/MedQA_Dutch_translated_with_MariaNMT },
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doi = { 10.57967/hf/1355 },
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publisher = { Hugging Face }
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}
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```
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# License
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For both the Maria NMT model and the original [Helsinki NLP](https://twitter.com/HelsinkiNLP) [Opus MT model](https://huggingface.co/Helsinki-NLP)
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we did **not** find a license. We also did not find a license for the HealthAdvice corpus. For these reasons we use a permissive Apache 2 license.
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license. If this was in error please let us know and we will add the appropriate licensing promptly.
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