Non-contextual binary classification of offensive comments MEX

The main purpose of MeOffendEs is to promote research on the detection of offensive language in Spanish variants. This task consists in classifying tweets as offensive or non-offensive in the Offend-MEX corpus, this is, a binary text classification problem. A text is considered as offensive when language is used to commit an explicit or implicitly directed offense that may include insults, threats, profanity or swearing.