HiTZ/Medical-mT5-large
Text2Text Generation
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Updated
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1.91k
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Error code: ClientConnectionError
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.
Language | Source | Words |
---|---|---|
English | ClinicalTrials | 127.4M |
EMEA | 12M | |
PubMed | 968.4M | |
Spanish | EMEA | 13.6M |
PubMed | 8.4M | |
Medical Crawler | 918M | |
SPACC | 350K | |
UFAL | 10.5M | |
WikiMed | 5.2M | |
French | PubMed | 1.4M |
Science Direct | 15.2M | |
Wikipedia - Médecine | 5M | |
EDP | 48K | |
Google Patents | 654M | |
Italian | 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 |
HiTZ/Medical-mT5-large | HiTZ/Medical-mT5-xl | HiTZ/Medical-mT5-large-multitask | HiTZ/Medical-mT5-xl-multitask | |
---|---|---|---|---|
Param. no. | 738M | 3B | 738M | 3B |
Task | Language Modeling | Language Modeling | Multitask Sequence Labeling | Multitask Sequence Labeling |
@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}
}