README.md

---
viewer: true
dataset_info:
- config_name: Chinese
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: duration
    dtype: float64
  - name: text
    dtype: string
  - name: traditional_chinese
    dtype: string
  - name: English
    dtype: string
  - name: Vietnamese
    dtype: string
  - name: French
    dtype: string
  - name: German
    dtype: string
  splits:
  - name: train
    num_examples: 1242
  - name: eval
    num_examples: 91
  # - name: test
  #   num_examples: 225
  - name: corrected.test
    num_examples: 225
- config_name: English
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: duration
    dtype: float64
  - name: text
    dtype: string
  - name: Vietnamese
    dtype: string
  - name: Chinese
    dtype: string
  - name: traditional_chinese
    dtype: string
  - name: French
    dtype: string
  - name: German
    dtype: string
  - name: source
    dtype: string
  - name: link
    dtype: string
  - name: type
    dtype: string
  - name: topic
    dtype: string
  - name: icd-10 code
    dtype: string
  - name: speaker
    dtype: string
  - name: role
    dtype: string
  - name: gender
    dtype: string
  - name: accent
    dtype: string
  splits:
  - name: train
    num_examples: 25512
  - name: eval
    num_examples: 2816
  # - name: test
  #   num_examples: 4751
  - name: corrected.test
    num_examples: 4751
- config_name: French
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: duration
    dtype: float64
  - name: text
    dtype: string
  - name: English
    dtype: string
  - name: Vietnamese
    dtype: string
  - name: Chinese
    dtype: string
  - name: traditional_chinese
    dtype: string
  - name: German
    dtype: string
  splits:
  - name: train
    num_examples: 1403
  - name: eval
    num_examples: 42
  # - name: test
  #   num_examples: 344
  - name: corrected.test
    num_examples: 344
- config_name: German
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: duration
    dtype: float64
  - name: text
    dtype: string
  - name: English
    dtype: string
  - name: Vietnamese
    dtype: string
  - name: Chinese
    dtype: string
  - name: traditional_chinese
    dtype: string
  - name: French
    dtype: string
  splits:
  - name: train
    num_examples: 1443
  # - name: test
  #   num_examples: 1091
  - name: eval
    num_examples: 287
  - name: corrected.test
    num_examples: 1091
- config_name: Vietnamese
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: duration
    dtype: float64
  - name: text
    dtype: string
  - name: English
    dtype: string
  - name: Chinese
    dtype: string
  - name: traditional_chinese
    dtype: string
  - name: French
    dtype: string
  - name: German
    dtype: string
  splits:
  - name: train
    num_examples: 4548
  # - name: test
  #   num_examples: 3437
  - name: eval
    num_examples: 1137
  - name: corrected.test
    num_examples: 3437
configs:
- config_name: Chinese
  data_files:
  - split: train
    path: chinese/train-*
  - split: eval
    path: chinese/eval-*
  # - split: test
  #   path: chinese/test-*
  - split: corrected.test
    path: chinese/corrected.test-*
- config_name: English
  data_files:
  - split: train
    path: english/train-*
  - split: eval
    path: english/eval-*
  # - split: test
  #   path: english/test-*
  - split: corrected.test
    path: english/corrected.test-*
- config_name: French
  data_files:
  - split: train
    path: french/train-*
  - split: eval
    path: french/eval-*
  # - split: test
  #   path: french/test-*
  - split: corrected.test
    path: french/corrected.test-*
- config_name: German
  data_files:
  - split: train
    path: german/train-*
  # - split: test
  #   path: german/test-*
  - split: eval
    path: german/eval-*
  - split: corrected.test
    path: german/corrected.test-*
- config_name: Vietnamese
  data_files:
  - split: train
    path: vietnamese/train-*
  # - split: test
  #   path: vietnamese/test-*
  - split: eval
    path: vietnamese/eval-*
  - split: corrected.test
    path: vietnamese/corrected.test-*
task_categories:
- translation
language:
- vi
- en
- de
- zh
- fr
---
# MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation

**<div align="center">Preprint</div>**

<div align="center">Khai Le-Duc*, Tuyen Tran*,</div>
<div align="center">Bach Phan Tat, Nguyen Kim Hai Bui, Quan Dang, Hung-Phong Tran, Thanh-Thuy Nguyen, Ly Nguyen, Tuan-Minh Phan, Thi Thu Phuong Tran, Chris Ngo,</div>
<div align="center">Nguyen X. Khanh**, Thanh Nguyen-Tang**</div>


<div align="center">*Equal contribution</div>
<div align="center">**Equal supervision</div>

* **Abstract:**
Multilingual speech translation (ST) in the medical domain  enhances patient care by enabling efficient communication across language barriers, alleviating specialized workforce shortages, and facilitating improved diagnosis and treatment, particularly during pandemics. In this work, we present the first systematic study on medical ST, to our best knowledge, by releasing *MultiMed-ST*, a large-scale ST dataset for the medical domain, spanning all translation directions in five languages: Vietnamese, English, German, French,  Traditional Chinese and Simplified Chinese, together with the models. With 290,000 samples, our dataset is the largest medical machine translation (MT) dataset and the largest many-to-many multilingual ST among all domains. Secondly, we present the most extensive analysis study in ST research to date, including: empirical baselines, bilingual-multilingual comparative study, end-to-end vs. cascaded comparative study, task-specific vs. multi-task sequence-to-sequence (seq2seq) comparative study, code-switch analysis, and quantitative-qualitative error analysis. All code, data, and models are available online:  [https://github.com/leduckhai/MultiMed-ST](https://github.com/leduckhai/MultiMed-ST).

> Please press ⭐ button and/or cite papers if you feel helpful.

* **GitHub:**
[https://github.com/leduckhai/MultiMed-ST](https://github.com/leduckhai/MultiMed-ST)

* **Citation:**
Please cite this paper: [https://arxiv.org/abs/2504.03546](https://arxiv.org/abs/2504.03546)

``` bibtex
@article{le2025multimedst,
  title={MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation},
  author={Le-Duc, Khai and Tran, Tuyen and Tat, Bach Phan and Bui, Nguyen Kim Hai and Dang, Quan and Tran, Hung-Phong and Nguyen, Thanh-Thuy and Nguyen, Ly and Phan, Tuan-Minh and Tran, Thi Thu Phuong and others},
  journal={arXiv preprint arXiv:2504.03546},
  year={2025}
}
```

## Dataset and Models:

Dataset: [HuggingFace dataset](https://huggingface.co/datasets/leduckhai/MultiMed-ST)

Fine-tuned models: [HuggingFace models](https://huggingface.co/leduckhai/MultiMed-ST)

## Contact:

Core developers:

**Khai Le-Duc**
```
University of Toronto, Canada
Email: [email protected]
GitHub: https://github.com/leduckhai
```

**Tuyen Tran**
```
Hanoi University of Science and Technology, Vietnam
Email: [email protected]
```

**Bui Nguyen Kim Hai**
```
Eötvös Loránd University, Hungary
Email: [email protected]
```