---
language:
- en
- es
- fr
- it
license: apache-2.0
pretty_name: Multilingual Medical Corpus
tags:
- medical
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: en
    num_bytes: 7672665166
    num_examples: 21226237
  - name: es
    num_bytes: 6245812986
    num_examples: 35444286
  - name: fr
    num_bytes: 4763269707
    num_examples: 7192779
  - name: it
    num_bytes: 1021535232
    num_examples: 3504555
  download_size: 10530951092
  dataset_size: 19703283091
configs:
- config_name: default
  data_files:
  - split: en
    path: data/en-*
  - split: es
    path: data/es-*
  - split: fr
    path: data/fr-*
  - split: it
    path: data/it-*
---

<p align="center">
    <br>
    <img src="http://www.ixa.eus/sites/default/files/anitdote.png" style="width: 30%;">
    <h2 align="center">Mutilingual Medical Corpus</h2>
    <be>

<p align="justify">
Multilingual-Medical-Corpus a 3 billion word multilingual corpus for training LLMs adapted to the medical domain. Multilingual-Medical-Corpus includes four languages, namely, English, Spanish, French, and Italian.
</p>

  - 📖 Paper: [Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain]()
  - 🌐 Project Website: [https://univ-cotedazur.eu/antidote](https://univ-cotedazur.eu/antidote)

# Corpus Description
- **Developed by**: Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar, Elena Cabrio, Iker de la Iglesia, Alberto Lavelli, Bernardo Magnini, Benjamin Molinet, Johana Ramirez-Romero, German Rigau, Jose Maria Villa-Gonzalez, Serena Villata and Andrea Zaninello
- **Contact**: [Iker García-Ferrero](https://ikergarcia1996.github.io/Iker-Garcia-Ferrero/) and [Rodrigo Agerri](https://ragerri.github.io/)
- **Website**: [https://univ-cotedazur.eu/antidote](https://univ-cotedazur.eu/antidote)
- **Funding**: CHIST-ERA XAI 2019 call. Antidote (PCI2020-120717-2) funded by MCIN/AEI /10.13039/501100011033 and by European Union NextGenerationEU/PRTR
- **Language(s) (NLP)**: English, Spanish, French, Italian
- **License**: apache-2.0

## English Split

| Source | Words |
|-----------------|----------------|
| ClinicalTrials  | 127.4M         |
| EMEA            | 12M            |
| PubMed          | 968.4M         |

## Spanish Split

| Source | Words |
|-----------------|----------------|
| EMEA            | 13.6M          |
| PubMed          | 8.4M           |
| Medical Crawler | 918M           |
| SPACC           | 350K           |
| UFAL            | 10.5M          |
| WikiMed         | 5.2M           |

## French Split

| Source      | Words |
|----------------------|----------------|
| PubMed               | 1.4M           |
| Science Direct       | 15.2M          |
| Wikipedia - Médecine | 5M             |
| EDP                  | 48K            |
| Google Patents       | 654M           |


## Italian Split

| Source          | Words |
|--------------------------|----------------|
| Medical Commoncrawl - IT | 67M            |
| Drug instructions        | 30.5M          |
| Wikipedia - Medicina     | 13.3M          |
| E3C Corpus - IT          | 11.6M          |
| Medicine descriptions    | 6.3M           |
| Medical theses           | 5.8M           |
| Medical websites         | 4M             |
| PubMed                   | 2.3M           |
| Supplement description   | 1.3M           |
| Medical notes            | 975K           |
| Pathologies              | 157K           |
| Medical test simulations | 26K            |
| Clinical cases           | 20K            |


## Citation

We will soon release a paper, but, for now, you can use:

```bibtext
@inproceedings{medical-mt5,
 title     = "{{Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain}}",
 author    = "{Iker García-Ferrero and Rodrigo Agerri and Aitziber Atutxa Salazar and Elena Cabrio and Iker de la Iglesia and Alberto Lavelli and Bernardo Magnini and Benjamin Molinet and Johana Ramirez-Romero and German Rigau and Jose Maria Villa-Gonzalez and Serena Villata and Andrea Zaninello}",
 publisher = "Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)",
 year = 2024 }

```