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

  • DIPROMATS-ES 2023

    Politics
    Spanish , English
    Published in 2023
    9,591
    Tweets
    text classification

  • ClinAIS 2023

    Health
    Spanish
    Published in 2023
    1,038
    Clinical notes
    text classification

  • SMM4H-tweets-es-2022

    Health
    Spanish
    Published in 2022
    20,481
    Tweets
    text classification

  • RestMEX-covid-sempahore

    Health
    Spanish (Mexico)
    Published in 2022
    131,471
    News
    text classification

  • CT–CWT–22-ES

    Spanish
    Published in 2022
    14,990
    Tweets
    fake news detection

  • MESINESP8-T

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

  • ADoBo

    Spanish
    Published in 2021
    Laws
    text classification

  • FakeDeS

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

  • MEDDOPROF

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

  • MESINESP8-L

    Health
    Spanish
    Published in 2021
    Scientific articles
    text indexing

  • 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

  • CodiEsp

    Spanish
    Published in 2020
    1,000
    Clinical case reports
    text indexing

  • PAN-AP-2020-ES

    Spanish
    Published in 2020
    500
    Tweets
    fake news detection

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.