CodRep is a machine learning competition on source code data. It is carefully designed so that anybody can enter the competition, whether professional researchers, students or independent scholars, without specific knowledge in machine learning or program analysis. In particular, it aims at being a common playground on which the machine learning and the software engineering research communities can interact. This dataset provides the raw diffs that we collected, that are used for generating the prediction tasks. See more info at https://github.com/KTH/CodRep-competition.

{"references": ["Chen, Zimin, and Martin Monperrus. \"The codrep machine learning on source code competition.\" arXiv preprint arXiv:1807.03200 (2018)."]}