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A Dataset of Offensive German Language Tweets Annotated for Speech Acts
Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022)
Abstract
We present a dataset consisting of German offensive and non-offensive tweets, annotated for speech acts. These 600 tweets are a subset of the dataset by Struß et al. (2019) and comprises three levels of annotation, i.e., six coarse-grained speech acts, 23 fine-grained speech acts and 14 different sentence types. Furthermore, we provide an evaluation in both qualitative and quantitative terms. The dataset is made publicly available under a CC-BY-4.0 license.