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.

  • Mexican Aggressiveness Corpus

    Spanish (Mexico)
    Published in 2020
    10,475
    Tweets
    hate detection

  • Spanish Fake News Corpus

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

  • 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

  • IDAT-SP-MEX

    Spanish (Mexico)
    Published in 2019
    3,000
    Tweets
    processing humor

  • DIANN-2018-EN

    Health
    English
    Published in 2018
    500
    Abstracts scientific articles
    information extraction

  • MEX-A3T-profiling

    Spanish (Mexico)
    Published in 2018
    5,000
    Tweets
    hate detection

  • 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.