This dataset bridges AI and materials science by providing standardized benchmarks for predicting ceramic properties and generating glaze visuals—showing that multimodal AI can accelerate traditionally trial-and-error design processes.
GlazyBench is the first large-scale dataset for AI-assisted ceramic glaze design, containing 23,148 real glaze formulations. It enables two tasks: predicting glaze properties (color, transparency) from raw materials, and generating visual images of glazes.