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.

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Year

  • 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

  • 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

  • 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

  • PoliticEs

    Politics
    Spanish
    Published in 2022
    418
    Tweets
    profiling

  • OpeNER-ES-2022

    Tourism
    Spanish
    Published in 2022
    2,057
    Reviews
    sentiment analysis

  • EmoEventEs

    Spanish
    Published in 2021
    8,409
    Tweets
    sentiment analysis

  • 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

  • CAPITEL-UD

    Spanish
    Published in 2020
    News
    parsing

  • 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.