README.md

---
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/).