Narrative in Short German Prose: A Multi-Phenomenon Dataset for Computational Literary Analysis

AbstractWe present the novel dataset GermAnProse, an annotated corpus consisting of four German short prose texts accompanied by an extensive set of narrative-focused annotations.As part of this dataset, we contribute an annotation scheme for mentions, speech, and character agency: Characters in Action (ChiA).GermAnProse also contains information on narrative phenomena: narrativity, semantic verb classes, and plot keyness.Moreover, we include reader reception data in the form of timing information for audiobook performances, indicating pauses between sentences and the time taken to read a specific sentence in a performance.We release the dataset, which contains more than 18,000 manually created standoff annotations in JSON format, enabling researchers to utilize this resource for further exploratory applications.