This is a subset of the python dataset provided but Ailurophile on Kaggle.
Important:Errors were introduced on purpose to try to test a sort of "specialized masking" in a realistic way.
Goal:The goal is to create a specialized agent, and add it to a chain with at least one other agent that generates code, and can hopefully "catch" any errors.
Inspiration:When working to generate datasets with other models, I found that even after multiple "passes" errors where still missed.
Out of curiosity… See the full description on the dataset page:
https://huggingface.co/datasets/TacoPrime/errored_python.
