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.

  • JOKER 2023 ES

    Social
    Spanish , English
    Published in 2023
    4,235
    Tweets
    hate detection

  • EXIST-2023-ES

    Social
    Spanish , English
    Published in 2023
    4,653
    Tweets
    hate detection

  • MedProcNER/ProcTEMIST corpus 2023

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

  • HOPE-ES 2023

    Social
    Spanish
    Published in 2023
    2,062
    Tweets
    hate detection

  • 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

  • DETESTS

    News
    Spanish
    Published in 2022
    5,629
    News comments
    hate detection

  • LivingNER

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

  • EXIST-2022-ES

    Spanish
    Published in 2022
    6,226
    Tweets
    hate detection

  • DisTEMIST

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

  • NewsCom-TOX

    Spanish
    Published in 2021
    4,359
    News comments
    hate detection

  • EXIST-2021-ES

    Spanish
    Published in 2021
    5,701
    Social networks
    hate detection

  • PAN-AP-2021-ES

    Social
    Spanish
    Published in 2021
    300
    Tweets
    hate 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.