Enhancing Code Smell Classification with Code Refactoring-Based Data Augmentation Data Set

This repository contains the datasets used in the study “Enhancing Code Smell Classification with Code Refactoring-Based Data Augmentation.” Specifically, it includes: The original (standard) dataset, A rule-based augmented dataset generated through refactoring transformations, An LLM-based augmented dataset created using large language models. The primary purpose of this repository is to publicly release these datasets in order to support reproducibility, enable rigorous benchmarking, and facilitate future research in code smell classification and software quality assessment.