Thank you so much for this book! I'm finding the translation is very high quality.

I am a complete novice in training LLMs, and have been trying to train a novel architecture for Python code generation, using Apple Silicon.

I've been a bit frustrated to be honest that the data tools don't seem to have any focus on code, their modalities are generic text and images. And for synthetic data generation I would love to use EBNF-constrained outputs but SGlang is not available on MacOS. So I feel a bit stuck, downloading a large corpus of Python code, running into APFS issues, sharding, custom classifying, custom cleaning, custom mixing, etc. Maybe I've missed a tool but I'm surprised there aren't pre-tagged, pre-categorized, pre-filtered datasets for code where I can just tune the curriculum/filters to input into training.