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.

  • DIPROMATS-ES 2023

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

  • European Clinical Case Corpus (Spanish part)

    Health
    Spanish
    Published in 2023
    161
    Clinical cases
    relation extraction

  • ClinAIS 2023

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

  • SMM4H-tweets-es-2022

    Health
    Spanish
    Published in 2022
    20,481
    Tweets
    text classification

  • RestMEX-covid-sempahore

    Health
    Spanish (Mexico)
    Published in 2022
    131,471
    News
    text classification

  • ADoBo

    Spanish
    Published in 2021
    Laws
    text classification

  • eHealth-KD-ES

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

  • MEDDOPROF

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

  • 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

  • RepLab-2014-Reputation

    Finance
    Spanish
    Published in 2014
    48,705
    Tweets
    text classification

  • RepLab-2014-Profiling

    Finance
    Spanish
    Published in 2014
    48,705
    Tweets
    text classification

  • L2 writing assistant-EN-ES

    Spanish , English
    Published in 2014
    500
    Pairs of sentence
    machine translation

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.