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Political campaigns are full of political ads posted by candidates on socialmedia. Political advertisements constitute a basic form of campaigning,subjected to various social requirements. We present the first publicly opendataset for detecting specific text chunks and categories of politicaladvertising in the Polish language. It contains 1,705 human-annotated tweetstagged with nine categories, which constitute campaigning under Polishelectoral law. We achieved a 0.65 inter-annotator agreement (Cohen's kappascore). An additional annotator resolved the mismatches between the first twoannotators improving the consistency and complexity of the annotation process.We used the newly created dataset to train a well established neural tagger(achieving a 70% percent points F1 score). We also present a possible directionof use cases for such datasets and models with an initial analysis of thePolish 2020 Presidential Elections on Twitter.

Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections