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.

  • Rest-Mex 2023 Clustering

    News
    Spanish , Spanish (Mexico)
    Published in 2023
    114,550
    News
    topic modeling

  • 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

  • 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

  • MINT ES

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

  • 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

  • RestMEX-sentiment analysis

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

  • OpeNER-ES-2022

    Tourism
    Spanish
    Published in 2022
    2,057
    Reviews
    sentiment analysis

  • ADoBo

    Spanish
    Published in 2021
    Laws
    text classification

  • EmoEventEs

    Spanish
    Published in 2021
    8,409
    Tweets
    sentiment analysis

  • MEDDOPROF

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

  • 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

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.