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

  • DisTEMIST

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

  • SQAC

    General, News
    Spanish
    Published in 2022
    8,817
    Encyclopedia entries News
    question answering

  • MESINESP8-T

    Health
    Spanish
    Published in 2021
    3,955
    Scientific articles
    text indexing

  • 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

  • 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

  • MEDDOCAN

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

  • SPACCC

    Health
    Spanish (Argentina) , Spanish (Chile) , Spanish (Spain)
    Published in 2018
    684
    Clinical cases
    processing abbreviations

  • DIANN-2018-ES

    Health
    Spanish
    Published in 2018
    500
    Abstracts scientific articles
    information extraction

  • DIANN-2018-EN

    Health
    English
    Published in 2018
    500
    Abstracts scientific articles
    information extraction

  • BARR2

    Health
    Spanish
    Published in 2018
    684
    Clinical case reports
    processing abbreviations

  • BARR

    Health
    Spanish
    Published in 2017
    1,650
    Medical abstracts
    processing abbreviations

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.