"Sentiment Analysis of Commit Messages and its Relationship to Bug-Inducing Code Changes"

"This dataset is a collection of 90482 commits for 12 Apache open source projects where the buggy and fix labels belong to the ApacheJIT dataset. It contains 13 columns whose description is summarized as follows:commit_id : this column contains the hash code of the commit.project : this columns contains the project name to which the commit belong.buggy : this binary column contains the labels for the bug status (presence\/absence) in commits where False represents absence of the bugs and True represents the presence of the bugs.fix : this column is binary and holds two values (False, True). The True value is given to commits that fix some other buggy commits and False, otherwise.author_name : this column contains the name of the author of the commit extracted from Github.author_email : this column contains the email address of the author of the commit extracted from Github.committer_name : this column contains the name of the committer of the commit extracted from Github. In Github, we differentiate between the author who originally wrote the commit, and the committer who last applied the commit to the repository.committer_email : this column contains the email address of the committer of the commit extracted from Github.msg : this column contains the messages of the commits.pos : this column contains the score given to the positive component of the sentiment by SentiStrength-SE tool.neg : this column contains the score given to the negative component of the sentiment by SentiStrength-SE tool.polarity : this column contains the overall sentiment score calculated as the algebraic sum of the scores pos and neg.developer : this column contains the developer ID assigned to each commit author based on the results of Connected Component Analysis of the author emails and names. "