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

  • Rest-Mex 2023 Sentiment

    Tourism
    Spanish (Mexico)
    Published in 2023
    359,565
    Tripadvisor opinions
    sentiment analysis

  • FinancES 2023

    Finance
    Spanish
    Published in 2023
    7,980
    News headlines
    sentiment analysis

  • MINT ES

    General
    Spanish , English
    Published in 2023
    1,991
    Tweets
    sentiment analysis

  • RestMEX-sentiment analysis

    Tourism
    Spanish (Mexico)
    Published in 2022
    43,150
    TripAdvisor comments
    sentiment analysis

  • ReCoRES

    Education
    Spanish (Peru)
    Published in 2022
    1,822
    University entrance examinations
    text similarity

  • OpeNER-ES-2022

    Tourism
    Spanish
    Published in 2022
    2,057
    Reviews
    sentiment analysis

  • CT–CWT–22-ES

    Spanish
    Published in 2022
    14,990
    Tweets
    fake news detection

  • EmoEventEs

    Spanish
    Published in 2021
    8,409
    Tweets
    sentiment analysis

  • FakeDeS

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

  • VaxxStance-ES

    Health
    Spanish
    Published in 2021
    2,697
    Tweets
    sentiment analysis

  • RestMEX-SA

    Tourism
    Spanish (Mexico)
    Published in 2021
    7,413
    TripAdvisor comments
    sentiment analysis

  • 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

  • InterTASS 2020

    Spanish , Spanish (Chile) , Spanish (Costa Rica) , Spanish (Mexico) , Spanish (Peru) , Spanish (Uruguay)
    Published in 2020
    Tweets
    sentiment analysis

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.