A normalized semi-synthetic Python dataset for training small language models on code logic without the overhead of raw code syntax.
Small language models trained on natural language corpora develop latent representations of logical constructs -- iteration, conditionals, data flow, function composition -- yet struggle to apply this reasoning to source code, where syntactic overhead (delimiters, indentation conventions, language-specific idioms)… See the full description on the dataset page:
https://huggingface.co/datasets/AxiomicLabs/NPset-2-Python-Edu.
