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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The EA-MT dataset
Spanish , English , Arabic , Deuch , French , Italian , Korean , ChinesePublished in 202557611.00MBmachine translation -
Rest-Mex 2025
Spanish (Mexico)Published in 2025297,217297217.00MBReviewssentiment analysis -
PolyHope-2025 V2
SocialSpanish , EnglishPublished in 202529,95729957.00MBTweetssentiment analysis -
HOMO-LAT-2025
SocialSpanish (Argentina) , Spanish (Bolivia) , Spanish (Chile) , Spanish (Colombia) , Spanish (Dominican Republic) , Spanish (Mexico) , Spanish (Peru) , Spanish (Uruguay)Published in 20257,1007100.00MBhate detection -
DIMEMEX-2025
SocialSpanish (Mexico)Published in 20253,0003000.00MBhate detection -
semeval-2025-task11-emotions-es
DiverseSpanish , EnglishPublished in 20253,875sentiment analysis -
MultiClaim-2025-es
SocialSpanish , EnglishPublished in 20257,581Publicaciones de redes socialesfake news detection -
Mu-SHROOM-2025-es
DiverseSpanish , English , Arabic , Deuch , Farsi , French , Hindi , Italian , Swedish , ChinesePublished in 2025200Wikipediatext generation, factuality -
XC-Translate-2025-en-es
DiverseSpanish , English , Arabic , Deuch , French , Italian , Korean , ChinesePublished in 20256,148Pairs of sentencemachine translation -
mCLAN-2025-es
SocialSpanish , English , Arabic , Deuch , French , Hindi , PortuguesePublished in 20254,336Afirmacionesfake news detection -
CheckThat!Numerical-2025-es
NewsSpanish , English , ArabicPublished in 20253,689Afirmacionesfake news detection -
DrugTEMIST -2024
HealthSpanish , English , ItalianPublished in 20241,000Clinical case reports(named) entity recognition -
Homo-MEX
Spanish (Mexico)Published in 202418,200hate detection -
DIPROMATS
Spanish , EnglishPublished in 20249,591text classification -
IberAuTexTification
News, Social, othersSpanish , English , PortuguesePublished in 2024168,128text generation
Pagination
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.

