README.md

---
task_categories:
- translation
language:
- en
- vi
---

# MedEV Dataset

## Introduction
The MedEV dataset marks a notable advancement in machine translation, focusing on the Vietnamese-English pair in the medical field. Its purpose is to address the lack of high-quality Vietnamese-English parallel data by offering around 360K sentence pairs. This dataset is designed to support the advancement of machine translation in medical domain, serving as a valuable tool to improve the precision and trustworthiness of medical translations between Vietnamese and English.

## Dataset Overview
- **Domain:** Medical
- **Language Pair:** Vietnamese-English
- **Size:** ~360,000 sentence pairs
- **Objective:** To support the development of machine translation models specifically tuned for the medical domain.
- **Traning set:** 340,897 sentence pairs
- **Valiation set:** 8,982 sentence pairs
- **Test set:** 9,006 sentence pairs


## Accessing the Dataset
The MedEV dataset is available for research purposes. [Please refer to our paper](https://aclanthology.org/2024.lrec-main.784/) for detailed information on the dataset construction, experimental setup, and analysis of results.

## Ethical Statement
Data are collected from publicly available websites, such as journals and universities, but also from www.msd.com. The content extracted from these sources cannot be used for public or commercial purposes. Therefore, the content also contains no private data about the patients.

## Citing MedEV
If you find the MedEV dataset useful in your research, please consider citing our paper:

```
@inproceedings{vo-etal-2024-improving,
    title = "Improving {V}ietnamese-{E}nglish Medical Machine Translation",
    author = "Vo, Nhu  and
      Nguyen, Dat Quoc  and
      Le, Dung D.  and
      Piccardi, Massimo  and
      Buntine, Wray",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.784/",
    pages = "8955--8962",
    abstract = "Machine translation for Vietnamese-English in the medical domain is still an under-explored research area. In this paper, we introduce MedEV{---}a high-quality Vietnamese-English parallel dataset constructed specifically for the medical domain, comprising approximately 360K sentence pairs. We conduct extensive experiments comparing Google Translate, ChatGPT (gpt-3.5-turbo), state-of-the-art Vietnamese-English neural machine translation models and pre-trained bilingual/multilingual sequence-to-sequence models on our new MedEV dataset. Experimental results show that the best performance is achieved by fine-tuning ``vinai-translate'' for each translation direction. We publicly release our dataset to promote further research."
}
```