This dataset comprises over 38,000 seed inputs generated from a range of Large Language Models (LLMs), including ChatGPT-3.5, ChatGPT-4, Claude-Opus, Claude-Instant, and Gemini Pro 1.0, specifically designed for the application in fuzzing Python functions. These seeds were produced as part of a study evaluating the utility of LLMs in automating the creation of effective fuzzing inputs, a method crucial for uncovering software defects in the Python programming environment where traditional methods show limitations.

DOI Link: 
10.21227/z8bn-9n91
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Dataset Files

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[1] Gavin Black, "LLM-Generated Python Fuzzing Seeds", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/z8bn-9n91. Accessed: Feb. 06, 2025.
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Gavin Black. (2024). LLM-Generated Python Fuzzing Seeds. IEEE Dataport. http://dx.doi.org/10.21227/z8bn-9n91
Gavin Black, 2024. LLM-Generated Python Fuzzing Seeds. Available at: http://dx.doi.org/10.21227/z8bn-9n91.
Gavin Black. (2024). "LLM-Generated Python Fuzzing Seeds." Web.
1. Gavin Black. LLM-Generated Python Fuzzing Seeds [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/z8bn-9n91
Gavin Black. "LLM-Generated Python Fuzzing Seeds." doi: 10.21227/z8bn-9n91