Multimodal Dataset of Perceived Pleasure and Prefrontal Responses to AI-Generated Urban Streetscapes

This dataset contains the stimuli and deidentified participant-level data used to examine perceived pleasure and prefrontal hemodynamic responses to AI-generated urban streetscapes. It includes 81 experimental images derived from three urban street scenes, objective image features, trial-level ratings from 12 participants retained after quality control, and the corresponding raw functional near-infrared spectroscopy (fNIRS) recordings in SNIRF format. The behavioral measures cover perceived orderliness, greenness, colorfulness, refinement, brightness, realism, and pleasure. Stimulus files use neutral numeric identifiers that do not disclose the intended generation conditions. Participant identifiers and acquisition dates and times have been anonymized. A data dictionary and SHA-256 checksums are provided to support interpretation and file-integrity verification.