UMCU/MedQA_Dutch_translated_with_MariaNMT

---
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: 8270752
num_examples: 9856
download_size: 4467728
dataset_size: 8270752
---
# Dataset Card for "MedQA_Dutch_translated_with_MariaNMT"

Translation of the **English** version of [MedQA](https://huggingface.co/datasets/bigbio/med_qa),
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).

Note:
We do **not** have the full sample count of the original MedQA due to exceedance of the maximum window size.
In updated version we will use stride to translate complete documents.

# Attribution

If you use this dataset please use the following to credit the creators of MedQA:

```citation
@article{jin2021disease,
title={What disease does this patient have? a large-scale open domain question answering dataset from medical exams},
author={Jin, Di and Pan, Eileen and Oufattole, Nassim and Weng, Wei-Hung and Fang, Hanyi and Szolovits, Peter},
journal={Applied Sciences},
volume={11},
number={14},
pages={6421},
year={2021},
publisher={MDPI}
}
```

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.

原始信息汇总

数据集卡片 "MedQA_Dutch_translated_with_MariaNMT"

数据集概述

该数据集是MedQA的英文版本翻译成荷兰语的版本，使用Maria NMT模型进行翻译，该模型由Helsinki NLP训练。

数据集配置

• 配置名称: default
• 数据文件:
  • 分割: train
  • 路径: data/train-*

数据集信息

• 特征:
  • 名称: instruction
    • 数据类型: string
  • 名称: input
    • 数据类型: string
  • 名称: output
    • 数据类型: string
• 分割:
  • 名称: train
    • 字节数: 8270752
    • 样本数: 9856
• 下载大小: 4467728
• 数据集大小: 8270752

引用

如果您使用此数据集，请引用以下内容：

citation @article{jin2021disease, title={What disease does this patient have? a large-scale open domain question answering dataset from medical exams}, author={Jin, Di and Pan, Eileen and Oufattole, Nassim and Weng, Wei-Hung and Fang, Hanyi and Szolovits, Peter}, journal={Applied Sciences}, volume={11}, number={14}, pages={6421}, year={2021}, publisher={MDPI} }

citation @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} }

citation @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 } }

许可证

该数据集使用CC BY许可证。