higgood/BioWMT22_zh2en

---
dataset_info:
features:
- name: zh
dtype: string
- name: en
dtype: string
splits:
- name: test
num_bytes: 114235
num_examples: 264
download_size: 66111
dataset_size: 114235
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
task_categories:
- translation
language:
- zh
- en
tags:
- biology
- medical
size_categories:
- n<1K
modalities:
- Text
---

# Dataset Card for BioWMT'22 ZH-EN Test Set

Test set that was compiled for the [Biomedical Translation Task](https://www.statmt.org/wmt22/biomedical-translation-task.html) 2022 at [WMT](https://machinetranslate.org/wmt).

- **Language(s) (NLP):** English, Chinese;

## Citation

```bibtex
@InProceedings
{neves-EtAl:2022:WMT,
author = {Neves, Mariana and Jimeno Yepes, Antonio and Siu, Amy and Roller, Roland and Thomas, Philippe and Vicente Navarro, Maika and Yeganova, Lana and Wiemann, Dina and Di Nunzio, Giorgio Maria and Vezzani, Federica and Gerardin, Christel and Bawden, Rachel and Estrada, Darryl Johan and Lima-Lopez, Salvador and Farre-Maduel, Eulalia and Krallinger, Martin and Grozea, Cristian and Neveol, Aurelie},
title = {Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports},
booktitle = {Proceedings of the Seventh Conference on Machine Translation},
month = {December},
year = {2022},
address = {Abu Dhabi},
publisher = {Association for Computational Linguistics},
pages = {694--723},
abstract = {In the seventh edition of the WMT Biomedical Task, we addressed a total of seven language pairs, namely English/German, English/French, English/Spanish, English/Portuguese, English/Chinese, English/Russian, English/Italian. This year's test sets covered three types of biomedical text genre. In addition to scientific abstracts and terminology items used in previous editions, we released test sets of clinical cases. The evaluation of clinical cases translations were given special attention by involving clinicians in the preparation of reference translations and manual evaluation. For the main MEDLINE test sets, we received a total of 609 submissions from 37 teams. For the ClinSpEn sub-task, we had the participation of five teams.},
url = {https://aclanthology.org/2022.wmt-1.69}
}
```