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.

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Year

  • CT–CWT–23-ES

    News
    Spanish
    Published in 2023
    29,984
    Tweets
    fake news detection

  • MedProcNER/ProcTEMIST corpus 2023

    Health
    Spanish
    Published in 2023
    1,000
    Clinical notes
    (named) entity recognition

  • MEDDOPLACE Corpus: Gold Standard annotations for Medical Documents Place-related Content Extraction

    Health
    Spanish
    Published in 2023
    1,000
    Clinical notes
    (named) entity recognition

  • MultiCoNER v2 ES

    General
    Spanish
    Published in 2023
    264,207
    Wiki sentences Questions Search queries
    (named) entity recognition

  • MultiCoNER-ES

    Diverse
    Spanish
    Published in 2022
    233,987
    Wikipedia Questions Search queries
    (named) entity recognition

  • SocialDisNER

    Health
    Spanish
    Published in 2022
    9,500
    Tweets
    (named) entity recognition

  • LivingNER

    Health
    Spanish
    Published in 2022
    1,850
    Clinical case reports
    (named) entity recognition

  • DisTEMIST

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

  • CT–CWT–22-ES

    Spanish
    Published in 2022
    14,990
    Tweets
    fake news detection

  • FakeDeS

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

  • SpRadIE

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

  • 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

  • Spanish Fake News Corpus

    Diverse
    Spanish (Mexico)
    Published in 2020
    971
    News
    fake news detection

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.