The dataset provides global rainfall-induced landslide susceptibility maps developed using Global Infrastructure Resilience Index (GIRI) model. The maps categorize different terrains into five susceptibility classes, considering factors such as slope (derived from Yamazaki et al., (2019)), vegetation (land cover) (Copernicus Climate Change Service, Climate Data Store, 2019; Defourny et al., 2021), lithology (Hartmann and Moosdorf, 2012), and mean of the year average monthly rainfall (Lange, 2019;Frieler et al., 2017), using global datasets. Rainfall information is gathered from the W5E5 dataset for the timespan of 1979-2016 and the IPSL-CM6A-LR climate model from the ISIMIP3b dataset, covering the SSP126 scenario for 2061-2100.The dataset is organized as below:Two compressed folders corresponding to two different climatic scenarios (W5E5 and SSP126)Each folder is then organized geographically, following a grid-based system based on latitude and longitude intervals. Each folder contains 57 subfolders with names ending with n00e00, n00e30, up to s60w180, where n stands for north, s for south, denoting latitudes, and e stands for east, w stands for west, denoting longitudes. Both latitudes and longitudes have 30° increments. Each subfolder then contains multiple .tif files corresponding to smaller 5° × 5° tiles (e.g., n00e005, n00e010).