--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 5594660 num_examples: 9696 download_size: 3051082 dataset_size: 5594660 license: cc --- # Dataset Card for "WikiDoc_Dutch_translated_with_MariaNMT" Translation of the **English** corpus [WikiDoc](https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc), 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 = { WikiDoc_Dutch_translated_with_MariaNMT (Revision 0db6106) }, year = 2023, url = { https://huggingface.co/datasets/UMCU/WikiDoc_Dutch_translated_with_MariaNMT }, doi = { 10.57967/hf/1483 }, 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, if this was in error please let us know and we will add the appropriate licensing promptly. We adopt the licensing of the WikiDoc corpus: a [Creative Commons License](http://creativecommons.org/licenses/by-sa/4.0/).