In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.

[EX Q]: Tweet: Juan Antonio Puigserver: Recordo que el major Trapero vinculava l'us de la forca l'1 d'octubre a impedir agressions a ciutadans o agressions a les forces de seguretat https://t.co/DTK5ZTXHTn #JudiciTV3CatRadio https://t.co/2zuQYaNAE7
[EX A]: Neutral

[EX Q]: Tweet: No ens cansem de sortir. Ho farem fins que sigueu a casa. #judicifarsa #AutodeterminacioNoEsDelicte #PresesPolitiques #usvolemacasa #nousoblidem #RepublicaCatalana https://t.co/rExESTlWuR
[EX A]: Favor

[EX Q]: Tweet: "Al mon rural encara se sol veure les dones com ajudants pero ho estem canviant". Emma Vinas @ramaderescat a #LaPlacaDelsFuturs #SICOMNews @RadioMTerrassa d https://t.co/mYI9GF82uQ https://t.co/mOqLsmg5Ix
[EX A]:
Against