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Communication surrounding the development of an open source project largelyoccurs outside the software repository itself. Historically, large communitiesoften used a collection of mailing lists to discuss the different aspects oftheir projects. Multimodal tool use, with software development andcommunication happening on different channels, complicates the study of opensource projects as a sociotechnical system. Here, we combine and standardizemailing lists of the Python community, resulting in 954,287 messages from 1995to the present. We share all scraping and cleaning code to facilitatereproduction of this work, as well as smaller datasets for the Golang (122,721messages), Angular (20,041 messages) and Node.js (12,514 messages) communities.To showcase the usefulness of these data, we focus on the CPython repositoryand merge the technical layer (which GitHub account works on what file and withwhom) with the social layer (messages from unique email addresses) byidentifying 33% of GitHub contributors in the mailing list data. We thenexplore correlations between the valence of social messaging and the structureof the collaboration network. We discuss how these data provide a laboratory totest theories from standard organizational science in large open sourceprojects.

The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories