Expert Evaluation of AI-Generated Cultural Heritage Imagery: A Dataset of 84 Images from Seven Generative AI Systems Across Twelve Heritage Elements
Abstract
This dataset contains expert evaluation scores for 84 AI-generated images of twelve cultural heritage elements (spanning Ancient Egyptian, Greek, Roman, Islamic, Romanesque, Gothic, Renaissance, Plateresque, and Modernist traditions), each produced by seven widely used generative AI systems (Canva, Perplexity, Adobe Firefly, ChatGPT, Gemini, Grok, and Copilot) via zero-shot prompting. An interdisciplinary panel of experts in archaeology, art history, architecture, and heritage education rated each image on a 12-item, 5-dimension Likert-scale instrument (historical veracity, formal coherence, stylistic adequacy, contextual fit, and didactic reliability), following the methodological protocol proposed by Galindo-Durán, Prego de Oliver-López & Bernal-Bravo (2026, *Journal of Cultural Heritage*). Data are anonymized and provided in long format with an accompanying codebook.