|
--- |
|
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](https://arxiv.org/abs/2404.07613) |
|
- 🌐 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 |
|
|
|
<table border="1" cellspacing="0" cellpadding="5"> |
|
<caption>Data sources and word counts by language.</caption> |
|
<thead> |
|
<tr> |
|
<th>Language</th> |
|
<th>Source</th> |
|
<th>Words</th> |
|
</tr> |
|
</thead> |
|
<tbody> |
|
<tr> |
|
<td rowspan="3">English</td> |
|
<td>ClinicalTrials</td> |
|
<td>127.4M</td> |
|
</tr> |
|
<tr> |
|
<td>EMEA</td> |
|
<td>12M</td> |
|
</tr> |
|
<tr> |
|
<td>PubMed</td> |
|
<td>968.4M</td> |
|
</tr> |
|
<tr> |
|
<td rowspan="6">Spanish</td> |
|
<td>EMEA</td> |
|
<td>13.6M</td> |
|
</tr> |
|
<tr> |
|
<td>PubMed</td> |
|
<td>8.4M</td> |
|
</tr> |
|
<tr> |
|
<td>Medical Crawler</td> |
|
<td>918M</td> |
|
</tr> |
|
<tr> |
|
<td>SPACC</td> |
|
<td>350K</td> |
|
</tr> |
|
<tr> |
|
<td>UFAL</td> |
|
<td>10.5M</td> |
|
</tr> |
|
<tr> |
|
<td>WikiMed</td> |
|
<td>5.2M</td> |
|
</tr> |
|
<tr> |
|
<td rowspan="5">French</td> |
|
<td>PubMed</td> |
|
<td>1.4M</td> |
|
</tr> |
|
<tr> |
|
<td>Science Direct</td> |
|
<td>15.2M</td> |
|
</tr> |
|
<tr> |
|
<td>Wikipedia - Médecine</td> |
|
<td>5M</td> |
|
</tr> |
|
<tr> |
|
<td>EDP</td> |
|
<td>48K</td> |
|
</tr> |
|
<tr> |
|
<td>Google Patents</td> |
|
<td>654M</td> |
|
</tr> |
|
<tr> |
|
<td rowspan="13">Italian</td> |
|
<td>Medical Commoncrawl - IT</td> |
|
<td>67M</td> |
|
</tr> |
|
<tr> |
|
<td>Drug instructions</td> |
|
<td>30.5M</td> |
|
</tr> |
|
<tr> |
|
<td>Wikipedia - Medicina</td> |
|
<td>13.3M</td> |
|
</tr> |
|
<tr> |
|
<td>E3C Corpus - IT</td> |
|
<td>11.6M</td> |
|
</tr> |
|
<tr> |
|
<td>Medicine descriptions</td> |
|
<td>6.3M</td> |
|
</tr> |
|
<tr> |
|
<td>Medical theses</td> |
|
<td>5.8M</td> |
|
</tr> |
|
<tr> |
|
<td>Medical websites</td> |
|
<td>4M</td> |
|
</tr> |
|
<tr> |
|
<td>PubMed</td> |
|
<td>2.3M</td> |
|
</tr> |
|
<tr> |
|
<td>Supplement description</td> |
|
<td>1.3M</td> |
|
</tr> |
|
<tr> |
|
<td>Medical notes</td> |
|
<td>975K</td> |
|
</tr> |
|
<tr> |
|
<td>Pathologies</td> |
|
<td>157K</td> |
|
</tr> |
|
<tr> |
|
<td>Medical test simulations</td> |
|
<td>26K</td> |
|
</tr> |
|
<tr> |
|
<td>Clinical cases</td> |
|
<td>20K</td> |
|
</tr> |
|
</tbody> |
|
</table> |
|
|
|
# Open Source Models trained with Multilingual-Medical-Corpus: |
|
<table border="1" cellspacing="0" cellpadding="5"> |
|
<thead> |
|
<tr> |
|
<th></th> |
|
<th><a href="https://huggingface.co/HiTZ/Medical-mT5-large">HiTZ/Medical-mT5-large</a></th> |
|
<th><a href="https://huggingface.co/HiTZ/Medical-mT5-xl">HiTZ/Medical-mT5-xl</a></th> |
|
<th><a href="https://huggingface.co/HiTZ/Medical-mT5-large-multitask">HiTZ/Medical-mT5-large-multitask</a></th> |
|
<th><a href="https://huggingface.co/HiTZ/Medical-mT5-xl-multitask">HiTZ/Medical-mT5-xl-multitask</a></th> |
|
</tr> |
|
</thead> |
|
<tbody> |
|
<tr> |
|
<td>Param. no.</td> |
|
<td>738M</td> |
|
<td>3B</td> |
|
<td>738M</td> |
|
<td>3B</td> |
|
</tr> |
|
<tr> |
|
<td>Task</td> |
|
<td>Language Modeling</td> |
|
<td>Language Modeling</td> |
|
<td>Multitask Sequence Labeling</td> |
|
<td>Multitask Sequence Labeling</td> |
|
</tr> |
|
<tr> |
|
</tbody> |
|
</table> |
|
|
|
## Citation |
|
|
|
```bibtext |
|
@misc{garcíaferrero2024medical, |
|
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}, |
|
year={2024}, |
|
eprint={2404.07613}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
