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.

  • EmoEventEs

    Spanish
    Published in 2021
    8,409
    Tweets
    sentiment analysis

  • EXIST-2021-ES

    Spanish
    Published in 2021
    5,701
    Social networks
    hate detection

  • FakeDeS

    COVID, others
    Spanish
    Published in 2021
    1,633
    News
    fake news detection

  • eHealth-KD-ES

    Health
    Spanish
    Published in 2021
    1,800
    News Encyclopedia entries Scientific papers
    relation extraction

  • PAN-AP-2021-ES

    Social
    Spanish
    Published in 2021
    300
    Tweets
    hate detection

  • MEDDOPROF

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

  • MeOffendES

    Spanish
    Published in 2021
    30,416
    Tweets Instagram comments Youtube comments
    hate detection

  • VaxxStance-ES

    Health
    Spanish
    Published in 2021
    2,697
    Tweets
    sentiment analysis

  • SpRadIE

    Health
    Spanish (Argentina)
    Published in 2021
    513
    Radiology reports
    (named) entity recognition

  • MESINESP8-L

    Health
    Spanish
    Published in 2021
    Scientific articles
    text indexing

  • RestMEX-SA

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

  • HAHA

    Spanish
    Published in 2021
    36,000
    Tweets
    processing humor

  • CheckThat-ES

    Politics
    Spanish
    Published in 2021
    4,990
    Tweets
    fake news detection

  • CAPITEL-NER

    Spanish
    Published in 2020
    News
    (named) entity recognition

  • CAPITEL-UD

    Spanish
    Published in 2020
    News
    parsing

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.