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.

  • PoliticES 2023

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

  • DIPROMATS-ES 2023

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

  • 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

  • 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

  • PoliticEs

    Politics
    Spanish
    Published in 2022
    418
    Tweets
    profiling

  • ADoBo

    Spanish
    Published in 2021
    Laws
    text classification

  • MEDDOPROF

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

  • VYTEDU-CW

    Education
    Spanish (Ecuador)
    Published in 2020
    Transcripts of academic videos
    morphology

  • MLDoc-ES

    News
    Spanish
    Published in 2018
    14,458
    News
    text classification

  • CWIG3G2-ES

    Spanish
    Published in 2018
    17,605
    morphology

  • Tweets emojis-ES

    Spanish
    Published in 2018
    120,000
    Tweets
    text classification

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.