The dataset viewer is taking too long to fetch the data. Try to refresh this page.
Server-side error
Error code:   ClientConnectionError


Mutilingual Medical Corpus

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.

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 and Rodrigo Agerri
  • Website: 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
Data sources and word counts by language.
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

Open Source Models trained with Multilingual-Medical-Corpus:

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

Citation

@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}
}
Downloads last month
646
Edit dataset card

Models trained or fine-tuned on HiTZ/Multilingual-Medical-Corpus

Collection including HiTZ/Multilingual-Medical-Corpus