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.

  • 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.