Abstract

This paper aims to thoroughly introduce the design and construction processes of two datasets related to Yi Sang's short stories: the Yi Sang Short Story Basic Dataset and the Yi Sang Short Story Sense Dataset. Centered on 13 selected short stories, the Yi Sang Short Story Basic Dataset presents a machine-readable structure created through the annotation of meta-data at the sentence level, based on editions from Mineumsa and Somyeong Publishing. The Yi Sang Short Story Sense Dataset, constructed by the researcher, labels sensory information found within the texts, using a sensory classifi-cation model that categorizes perceptions broadly into physical and psychological senses. This model further subdivides sensory details into four hierarchical levels, enabling nuanced, sentence-level labeling. The constructed datasets serve as practical foundations for conducting computational analyses of sensory patterns in Yi Sang’s short stories, as well as for other analytical methodologies such as emotion analysis, and further provide the potential for distant reading.