metadata

language:
  - es
tags:
  - biomedical
  - clinical
  - spanish
multilinguality:
  - monolingual
task_categories:
  - text-classification
task_ids:
  - multi-label-classification
license:
  - cc-by-4.0
pretty_name: LivingNER3
train-eval-index:
  - task: text-classification
    task_id: multi_label_classification
    splits:
      train_split: train
      eval_split: test
    metrics:
      - type: f1
        name: f1

LivingNER

This is a third party reupload of the LivingNER task 3 dataset.

It only contains the task 3 for the Spanish language. It does not include the multilingual data nor the background data.

This dataset is part of a benchmark in the paper A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks.

Citation Information

@article{10.1093/jamia/ocae054,
    author = {García Subies, Guillem and Barbero Jiménez, Álvaro and Martínez Fernández, Paloma},
    title = {A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks},
    journal = {Journal of the American Medical Informatics Association},
    volume = {31},
    number = {9},
    pages = {2137-2146},
    year = {2024},
    month = {03},
    issn = {1527-974X},
    doi = {10.1093/jamia/ocae054},
    url = {https://doi.org/10.1093/jamia/ocae054},
}

Citation Information of the original dataset

@article{amiranda2022nlp,
title={Mention detection, normalization \& classification of species, pathogens, humans and food in clinical documents: Overview of LivingNER shared task and resources},
author={Miranda-Escalada, Antonio and Farr{'e}-Maduell, Eul{`a}lia and Lima-L{'o}pez, Salvador and Estrada, Darryl and Gasc{'o}, Luis and Krallinger, Martin},
journal = {Procesamiento del Lenguaje Natural},
year={2022}
}