To facilitate research on natural disasters, we curate a list of existing benchmark datasets for natural disasters, categorizing them according to the disaster management cycle (mitigation, preparedness, responses and recovery). We develop a web platform – NADBenchmarks – where researchers can search for benchmark datasets for natural disasters. Currently, our curation covers the past five years. Our goal is to aid researchers in finding benchmark datasets to train their ML models on and also provide general directions for topics where they can contribute new benchmark datasets. Check out our website! [Read]