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

  • PoliticES 2023

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

  • DIPROMATS-ES 2023

    Politics
    Spanish , English
    Published in 2023
    9,591
    Tweets
    text classification

  • 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

  • ClinAIS 2023

    Health
    Spanish
    Published in 2023
    1,038
    Clinical notes
    text classification

  • DisTEMIST

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

  • ADoBo

    Spanish
    Published in 2021
    Laws
    text classification

  • MEDDOPROF

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

  • SpRadIE

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

  • CAPITEL-NER

    Spanish
    Published in 2020
    News
    (named) entity recognition

  • MEDDOCAN

    Health
    Spanish
    Published in 2019
    1,000
    Clinical case reports
    (named) entity recognition, information extraction

  • MLDoc-ES

    News
    Spanish
    Published in 2018
    14,458
    News
    text classification

  • Tweets emojis-ES

    Spanish
    Published in 2018
    120,000
    Tweets
    text classification

  • MLDoc-EN

    News
    English
    Published in 2018
    14,458
    News
    text classification

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.