Software documentation is one of the critical aspects of a software project, that could support multiple tasks throughout the software development life-cycle. There is extensive research on understanding issues and challenges with existing documentation, which is typically available as readme files. In projects that support collaborative development, such as those on GitHub, other software artifacts such as commits, pull requests and issues, apart from the conventional readme files, wikis and source code comments, also contain useful information, that supports in understanding, using, extending and maintaining the project. However, we are not aware of any dataset that explicitly focuses on documentation-related information in multiple software artifacts such as readme files, commits and pull requests across a repository. To address this concern and to facilitate further research in software documentation, we present DocMine, as a dataset of documentation-related information, extracted from around 1.35M software artifacts in 950 GitHub repositories, spanning across four different programming languages. The dataset along with its documentation is made available in CSV and .sql formats at - https://doi.org/10.5281/zenodo.5195084.

Game engines, are frameworks that provide a platform for developers to build games with an interface tailored to handle the complexity of game development. Though there is extensive empirical research on software frameworks, there is a need for empirical studies on game engines, as they differ from traditional software frameworks. Thus, to aid research and development in the area of game engines, we present GE526, a curated dataset of 526 game engine repositories mined from GitHub, which can help researchers to analyze game engines in terms of the release cycles, code quality, API usability and so on. To the best of our knowledge, we are not aware of any curated dataset that caters to game engines in the literature. The dataset contains metadata of all the mined repositories, including 582,079 commits, 20,138 pull requests, 30,287 issues reports and 2,111 releases. The dataset along with its documentation is made available at - https://bit.ly/3pyexnc.