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A dataset composed of 976 total Java source code files from 11 authors' GitHub pages and ChatGPT 3.5 and BingGPT rewritten code for code classification.
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With the release of OpenAI's ChatGPT, code written by GPT is becoming increasingly more common in everyday usage. However, students often use generated code to cheat on exams and homework. Being able to detect code written by GPT could be useful for organizations and schools as a classification or anomaly detection task. I wasn't able to find a publicly available online dataset of Java source code written by GPT to be trained on for research purposes, so I created my own.
Here's the general idea:
Of course, there are limitations to this dataset as code classification by an LLM is novel. However, this could be a reasonable starting point for those who want to detect GPT. Feel free to use this dataset for research or training.
Here's a breakdown of the files in this dataset:
If you use this dataset, please cite:
@misc{P24_Java,
author = {Paek, Timothy},
title = {GPT Java Dataset: A Dataset for LLM-Generated Code Detection},
year = {2024},
howpublished = {GitHub Repository},
url = {https://github.com/tipaek/GPT-Java-Dataset}
}Timothy Paek - Linked-In - tipaek@syr.edu
What I used in making this dataset:
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