We develop and release the first publicly available 30-year front dataset (1993–2023) for the Northwest Pacific, generated using a deep learning framework (Mask R-CNN). The dataset provides pixel-level frontal boundaries with associated attributes, including position, intensity and width, stored in NetCDF-4 format at 1/12° spatial and daily temporal resolution.