LLM-Generated Software Requirements from GitHub Issues

This dataset contains software requirements automatically generated from feature requests extracted from the five most popular repositories on GitHub. The dataset is structured into issue data, generated requirements, and evaluations based on three well-defined criteria. Dataset Structure issues.csv: Contains issue titles along with their corresponding repository names and unique identifiers. requirements.csv: This files store the requirements generated by LLMs for each issue, categorized by different prompting methods and LLM. parsed.csv: Theis files contain the assessment of the generated requirements based on three key quality criteria: Unambiguity, Verifiability, and Singularity. The evaluations are also divided by prompting methods and LLM.