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@@ -18,7 +18,78 @@ dataset_info:
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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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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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  # Dataset Card for "HealthAdvice_Dutch_translated_with_MariaNMT"
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+
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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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+
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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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+
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+ # Attribution
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+
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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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+
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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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+
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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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+
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+ and
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+
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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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+
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+ # License
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+
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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.