This dataset contains pairs of Python code samples with varying degrees of similarity, designed for training and evaluating plagiarism detection systems. The dataset was created using Large Language Models (LLMs) to generate synthetic code variations at different transformation levels, simulating real-world plagiarism scenarios in an academic context.
