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This article presents the annotated corpus of the DFG research project Emotions in Drama . The main aim of the project was the training of transformer-based language models for the classification of emotions in over 300 dramas from the period 1650 to 1815. For this purpose, a corpus of 18 German dramas was annotated by two annotators with 13 individual emotions each, resulting in 21.000 emotion annotations and over 46.000 source / target annotations. We report agreement metrics, the distribution of emotions and the distribution of source and target annotations in the overall corpus as well as distributions by character gender. The corpus is a unique resource for the digital humanities, since there is no other corpus with context-sensitive emotion annotations based on historical emotion definitions for dramas from this period.