Typicality dataset

The dataset includes three categories (bedrooms, kitchens, living rooms) with indoor scene images with subjective typicality ratings. Subjective typicality ratings were collected from 279 participants. Participants viewed images of indoor scenes belonging to three categories (bedrooms, kitchens, and living rooms) compiled from public image repositories and existing scene databases. In the experiment, each participant rated 200 randomly selected images from one category using two continuous sliders measuring conceptual typicality (how well the image fits the semantic category) and perceptual typicality (how visually representative the image is of typical examples of that category). Ratings were provided on a 0–100 scale in an online experiment implemented in jsPsych, with attention-check trials included to ensure data quality. After exclusion of inattentive responses based on predefined criteria, the final dataset contains typicality ratings that quantify both semantic and visual representativeness of indoor scenes.