Raw Data for Research Paper: Analyzing Prominent LLMs: An empirical study on solving LeetCode problems

The Replication Package contains data and results of evaluating the performance and complexity of Large Language Models (LLMs) in solving programming challenges in LeetCode. It was developed with the paper "Analyzing Prominent LLMs: An Empirical Study on Solving LeetCode Problems," submitted to the 29th International Conference on Evaluation and Assessment in Software Engineering (2025). The dataset includes prompt templates, problem IDs, model-generated code solutions, and a spreadsheet with the raw data. Further details about the processed data, visualizations, and scripts will be provided with the final version of the paper.