The high-resolution nationwide daily precipitation dataset spanning 20 years (2001-2020) for the Philippines, known as "PHIL-ADVANCE" and generated by Alcantara and Ahn (2024), presents a valuable resource. This dataset offers daily precipitation information covering the entire country, featuring a spatial resolution of 0.1° x 0.1°. The dataset is created using the Time-Varying Quadruple Collocation (TV-QC) approach, which takes into account the dynamic nature of uncertainties within parent datasets. By leveraging these errors, it combines data from four parent datasets: CHIRPS, GPM, ERA5, and PERSIANN. The outcome is a dataset of heightened accuracy compared to any of the individual parent datasets. This dataset is conveniently available in NetCDF format (version 4), a widely recognized and standardized data format commonly employed for exchanging large data files. It can be effortlessly read using major programming languages like R, Python, C++, and others, ensuring easy accessibility for various research applications. With its impressive spatial and temporal resolution, "PHIL-ADVANCE" proves invaluable for climate research, hydrological modeling, and related fields. Additionally, there are plans to incorporate data from 2021 onwards, further enriching its utility and relevance.