This article presents Netgen, an open-source tool for the generation of large networking datasets through the open-source tool Net2Plan. We show Netgen's features and applicability by generating six large labeled datasets for data analysis and Machine Learning. The datasets comprise 100,000 different data points for different traffic matrices and topologies, labeled after solving IP routing, IP routing with link disjoint 1+1 protection and RWA for IP over WDM networks. Both datasets and Netgen's code are publicly available.