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

  • RestMEX-SA

    Tourism
    Spanish (Mexico)
    Published in 2021
    7,413
    TripAdvisor comments
    sentiment analysis

  • CAPITEL-NER

    Spanish
    Published in 2020
    News
    (named) entity recognition

  • 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

  • SentiMix-Spanglish

    Spanish
    Published in 2020
    18,789
    Tweets
    sentiment analysis

  • NEGES

    Spanish
    Published in 2019
    400
    Reviews
    sentiment analysis, processing negation

  • MEDDOCAN

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

  • InterTASS-SP

    Spanish
    Published in 2019
    3,401
    Tweets
    sentiment analysis

  • InterTASS-MEX

    Spanish
    Published in 2019
    3,000
    Tweets
    sentiment analysis

  • InterTASS-CR

    Spanish
    Published in 2019
    2,363
    Tweets
    sentiment analysis

  • InterTASS-PE

    Spanish
    Published in 2019
    3,005
    Tweets
    sentiment analysis

  • InterTASS-URU

    Spanish
    Published in 2019
    2,857
    Tweets
    sentiment analysis

  • The TW-1O Referendum corpus - ES

    Spanish
    Published in 2018
    5,545
    Tweets
    sentiment analysis

  • Affect in Tweets-ES

    Spanish
    Published in 2018
    8,830
    Tweets
    sentiment analysis

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.