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

  • JOKER 2023 ES

    Social
    Spanish , English
    Published in 2023
    4,235
    Tweets
    hate detection

  • EXIST-2023-ES

    Social
    Spanish , English
    Published in 2023
    4,653
    Tweets
    hate detection

  • Rest-Mex 2023 Sentiment

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

  • PoliticES 2023

    Social, Politics
    Spanish
    Published in 2023
    2,797
    Tweets
    profiling

  • HUHU 2023

    Social
    Spanish
    Published in 2023
    3,449
    Tweets
    processing humor

  • HOPE-ES 2023

    Social
    Spanish
    Published in 2023
    2,062
    Tweets
    hate detection

  • HOMO-MEX 2023

    Social
    Spanish (Mexico)
    Published in 2023
    11,000
    Tweets
    hate detection

  • DA-VINCIS 2023

    Social
    Spanish (Mexico)
    Published in 2023
    4,731
    Tweets
    processing events

  • RestMEX-sentiment analysis

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

  • DA-VINCIS

    Social
    Spanish (Mexico)
    Published in 2022
    5,453
    Tweets
    processing events

  • OpeNER-ES-2022

    Tourism
    Spanish
    Published in 2022
    2,057
    Reviews
    sentiment analysis

  • RestMEX-recommendation system

    Tourism
    Spanish (Mexico)
    Published in 2022
    2,263
    TripAdvisor comments
    recommendation systems

  • PAN-AP-2021-ES

    Social
    Spanish
    Published in 2021
    300
    Tweets
    hate detection

  • RestMEX-SA

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

  • PAN18-Attribution-ES

    Fiction
    Spanish
    Published in 2018
    Fanfics
    profiling

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.