Update README.md

README.md

@@ -18,7 +18,54 @@ dataset_info:
     num_examples: 5760
   download_size: 1300914
   dataset_size: 2807464
+license: gpl-3.0
+task_categories:
+- sentence-similarity
+- question-answering
+language:
+- nl
+tags:
+- medical
+pretty_name: Dutch translation of WikiDoc
+size_categories:
+- 1K<n<10K
 ---
 # Dataset Card for "WikiDocPatientInformation_Dutch_translated_with_MariaNMT"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+Translation of the **English** version of the Hugging dataset [WikiDoc patient information](https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc_patient_information), based
+on [WikiDoc](https://www.wikidoc.org/index.php/Main_Page), a medical wikipedia.
+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).
+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).
+
+
+# Attribution
+
+If you use this dataset please use the following to credit the creators of the OPUS-MT models:
+```
+@InProceedings{TiedemannThottingal:EAMT2020,
+  author = {J{\"o}rg Tiedemann and Santhosh Thottingal},
+  title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld},
+  booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)},
+  year = {2020},
+  address = {Lisbon, Portugal}
+ }
+```
+
+and 
+
+```
+@misc {van_es_2023,
+	author       = { {Bram van Es} },
+	title        = { MedQA_Dutch_translated_with_MariaNMT (Revision 7e88c9e) },
+	year         = 2023,
+	url          = { https://huggingface.co/datasets/UMCU/MedQA_Dutch_translated_with_MariaNMT },
+	doi          = { 10.57967/hf/1355 },
+	publisher    = { Hugging Face }
+}
+```
+
+# License
+
+For both the Maria NMT model and the original [Helsinki NLP](https://twitter.com/HelsinkiNLP) [Opus MT model](https://huggingface.co/Helsinki-NLP) 
+we did **not** find a license. We also did not find a license for the MedQA corpus. For these reasons we use a permissive [CC BY](https://wellcome.org/grant-funding/guidance/open-access-guidance/creative-commons-attribution-licence-cc) 
+license. If this was in error please let us know and we will add the appropriate licensing promptly.