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

  • HUHU 2023

    Social
    Spanish
    Published in 2023
    3,449
    Tweets
    processing humor

  • OpeNER-ES-2022

    Tourism
    Spanish
    Published in 2022
    2,057
    Reviews
    sentiment analysis

  • DisTEMIST

    Health
    Spanish
    Published in 2022
    1,000
    Clinical cases
    entity linking, (named) entity recognition

  • 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

  • HAHA

    Spanish
    Published in 2021
    36,000
    Tweets
    processing humor

  • InterTASS 2020

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

  • EmoEVENT

    Spanish , Spanish (Chile) , Spanish (Costa Rica) , Spanish (Mexico) , Spanish (Peru) , Spanish (Uruguay)
    Published in 2020
    8,409
    Tweets
    sentiment analysis

  • SentiMix-Spanglish

    Spanish
    Published in 2020
    18,789
    Tweets
    sentiment analysis

  • IDAT-SP-EU

    Spanish
    Published in 2019
    Tweets
    processing humor

  • IDAT-SP-MEX

    Spanish (Mexico)
    Published in 2019
    3,000
    Tweets
    processing humor

  • IDAT-SP-CUBA

    Spanish (Cuba)
    Published in 2019
    3,000
    News comments
    processing humor

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.