 The abstracted article discusses the development of a new database of organic reactions which contains over 175,000 reactions and provides detailed information about each reaction such as activation energy, frequency and atom mapping. This database is designed to help researchers develop machine learning models for predicting reaction properties. This article was authored by Chiyun Zhao, Saimahit Vardadi, Michael Wolfe and others.