metadata
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: 2807464
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"
Translation of the English version of the Hugging dataset WikiDoc patient information, based on WikiDoc, a medical wikipedia. to Dutch using an Maria NMT model, trained by Helsinki NLP. Note, for reference: Maria NMT is based on BART, described here.
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_2024,
author = { {Bram van Es} },
title = { WikiDocPatientInformation_Dutch_translated_with_MariaNMT (Revision 4490701) },
year = 2024,
url = { https://huggingface.co/datasets/UMCU/WikiDocPatientInformation_Dutch_translated_with_MariaNMT },
doi = { 10.57967/hf/1669 },
publisher = { Hugging Face }
}
License
For both the Maria NMT model and the original Helsinki NLP Opus MT model 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 license. If this was in error please let us know and we will add the appropriate licensing promptly.