Programming languages continually evolve overtime, yet the design of their evolutions could be supported by data-driven evidence. In the paper “Data-Driven Evidence-Based Syntactic Sugar Design”, the authors perform frequent subgraph mining upon code extracted from a large-scale dataset of open-source repositories to recommend 7 new syntactic sugars to the Java programming language. This artifacts enables its users to recreate the tables presented in the paper and to verify its reproducibility.