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

  • CT–CWT–23-ES

    News
    Spanish
    Published in 2023
    29,984
    Tweets
    fake news detection

  • PoliticES 2023

    Social, Politics
    Spanish
    Published in 2023
    2,797
    Tweets
    profiling

  • MentalRiskES - Undefined disorder 2023

    Health
    Spanish
    Published in 2023
    5,520
    Telegram messages
    profiling

  • MentalRiskES - Depression 2023

    Health
    Spanish
    Published in 2023
    12,036
    Telegram messages
    profiling

  • MentalRiskES - Eating disorders 2023

    Health
    Spanish
    Published in 2023
    10,499
    Telegram messages
    profiling

  • PoliticEs

    Politics
    Spanish
    Published in 2022
    418
    Tweets
    profiling

  • CT–CWT–22-ES

    Spanish
    Published in 2022
    14,990
    Tweets
    fake news detection

  • FakeDeS

    COVID, others
    Spanish
    Published in 2021
    1,633
    News
    fake news detection

  • CheckThat-ES

    Politics
    Spanish
    Published in 2021
    4,990
    Tweets
    fake news detection

  • Spanish Fake News Corpus

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

  • PAN-AP-2020-ES

    Spanish
    Published in 2020
    500
    Tweets
    fake news detection

  • eHealth-KD 2019

    Spanish
    Published in 2019
    1,000
    Health
    information extraction

  • MEDDOCAN

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

  • 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

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.