This project offers a standardized benchmark and evaluation framework for assessing AI models' competence in solving programming challenges.
You'll find the extensive APPS dataset, a collection of competitive programming problems, alongside both training and evaluation code. Detailed setup is outlined in `train/README` and `eval/README`, helping users fine-tune models like GPT-2 and GPT-Neo and measure their performance. The dataset's also available on Hugging Face for easier access.
This project offers a standardized benchmark and evaluation framework for assessing AI models' competence in solving programming challenges.
Researchers and developers focused on code generation, program synthesis, or building AI coding agents will find this resource invaluable.