There does not exist image quality assessment (IQA) dataset for image with print-specific defects so far. This dataset consists of 3,720 images with 55 types of print-specific defects, and the paired scores evaluated by 1,200 subjects that are assembled through the crowdsourcing. This dataset is expected to be useful as a training dataset for systems that detect printing errors or evaluate the printing quality of printers.