Datasets

Below is information about Spanish textual data sets created with the goal of solving NLP tasks. In this case, these are collections of texts, generally enriched with annotations.

Filter by
Year

  • MESINESP8-T

    Health
    Spanish
    Published in 2021
    3,955
    Scientific articles
    text indexing

  • eHealth-KD-ES

    Health
    Spanish
    Published in 2021
    1,800
    News Encyclopedia entries Scientific papers
    relation extraction

  • MEDDOPROF

    Health
    Spanish
    Published in 2021
    1,844
    Clinical records from journals
    text classification

  • VaxxStance-ES

    Health
    Spanish
    Published in 2021
    2,697
    Tweets
    sentiment analysis

  • SpRadIE

    Health
    Spanish (Argentina)
    Published in 2021
    513
    Radiology reports
    (named) entity recognition

  • MESINESP8-L

    Health
    Spanish
    Published in 2021
    Scientific articles
    text indexing

  • Spanish Fake News Corpus

    Diverse
    Spanish (Mexico)
    Published in 2020
    971
    News
    fake news detection

  • MEDDOCAN

    Health
    Spanish
    Published in 2019
    1,000
    Clinical case reports
    (named) entity recognition, information extraction

  • SPACCC

    Health
    Spanish (Argentina) , Spanish (Chile) , Spanish (Spain)
    Published in 2018
    684
    Clinical cases
    processing abbreviations

  • DIANN-2018-ES

    Health
    Spanish
    Published in 2018
    500
    Abstracts scientific articles
    information extraction

  • DIANN-2018-EN

    Health
    English
    Published in 2018
    500
    Abstracts scientific articles
    information extraction

  • BARR2

    Health
    Spanish
    Published in 2018
    684
    Clinical case reports
    processing abbreviations

  • mSpRL

    Diverse
    Spanish , English
    Published in 2017
    1,213
    Images, textual descriptions
    semantic role labeling

  • BARR

    Health
    Spanish
    Published in 2017
    1,650
    Medical abstracts
    processing abbreviations

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.