Recently, efforts have been made to create openly-accessible databases for chemical reaction data. In particular, the Open Reaction Database (ORD) is promising due to its exhaustive schema for describing chemical reaction data and breadth of data already incorporated. Yet, many of the datasets in ORD (license: Creative Commons Attribution Share Alike 4.0 International) require further processing before they can be used in ML pipelines, preventing practical use. This is especially true for the largest dataset in ORD extracted from the US patent literature (the "USPTO dataset" ). In this work, we endeavor to close this gap.