Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads

In the dynamic landscape of open source software (OSS) development,understanding and addressing incivility within issue discussions is crucial forfostering healthy and productive collaborations. This paper presents a curateddataset of 404 locked GitHub issue discussion threads and 5961 individualcomments, collected from 213 OSS projects. We annotated the comments withvarious categories of incivility using Tone Bearing Discussion Features(TBDFs), and, for each issue thread, we annotated the triggers, targets, andconsequences of incivility. We observed that Bitter frustration, Impatience,and Mocking are the most prevalent TBDFs exhibited in our dataset. The mostcommon triggers, targets, and consequences of incivility include Failed use oftool/code or error messages, People, and Discontinued further discussion,respectively. This dataset can serve as a valuable resource for analyzingincivility in OSS and improving automated tools to detect and mitigate suchbehavior.