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

  • 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

  • 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

  • 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

  • NEGES

    Spanish
    Published in 2019
    400
    Reviews
    sentiment analysis, processing negation

  • InterTASS-SP

    Spanish
    Published in 2019
    3,401
    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.