Characterizing Code Clones from Large Language Models Dataset and Scripts

characterizing_code_clones_data.zip: This dataset contains a collection of code snippets generated by Large Language Models (LLMs) such as GPT-3.5 and GPT-4 in response to specific programming prompts derived from LeetCode. Each sub-directory within the dataset corresponds to a particular LLM version and contains code snippets, preprocessed data, and SLACC input files. 
characterizing_code_clones_project.zip: 
This zipped directory encompasses the core scripts and results used in the "Characterizing Code Clones of LLMs" research. It features the Python script collect_samples.py for collecting LLM-generated code snippets, as well as a suite of scripts in the slacc_scripts sub-directory for processing and analyzing the data using SLACC. The directory also includes the results of the LeetCode test suites, providing insights into the correctness and efficiency of the code generated by GPT-3.5 and GPT-4.