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

  • 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

  • DIPROMATS-ES 2023

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

  • AuTexTification 2023

    General, Legal, News
    Spanish , English
    Published in 2023
    52,191
    text generation

  • MINT ES

    General
    Spanish , English
    Published in 2023
    1,991
    Tweets
    sentiment analysis

  • InterTASS 2020

    Spanish , Spanish (Chile) , Spanish (Costa Rica) , Spanish (Mexico) , Spanish (Peru) , Spanish (Uruguay)
    Published in 2020
    Tweets
    sentiment analysis

  • EmoEVENT

    Spanish , Spanish (Chile) , Spanish (Costa Rica) , Spanish (Mexico) , Spanish (Peru) , Spanish (Uruguay)
    Published in 2020
    8,409
    Tweets
    sentiment analysis

  • DIANN-2018-EN

    Health
    English
    Published in 2018
    500
    Abstracts scientific articles
    information extraction

  • MLDoc-EN

    News
    English
    Published in 2018
    14,458
    News
    text classification

  • mSpRL

    Diverse
    Spanish , English
    Published in 2017
    1,213
    Images, textual descriptions
    semantic role labeling

  • STS 2017-es-en

    Spanish , English
    Published in 2017
    1,971
    Pairs of sentence

  • STS 2017-es-en-WMT

    Spanish , English
    Published in 2017
    1,250
    Pairs of sentence

  • M-WeP-NaD-2017

    Spanish , English
    Published in 2017
    10,420
    Web pages
    information retrieval

  • 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.