AxiomicLabs/NPset-2-Python-Edu
NPset-2 (Python-Edu) A normalized semi-synthetic Python dataset for training small language models on code logic without the overhead of raw code syntax. Why 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… See the full description on the dataset page: https://huggingface.co/datasets/AxiomicLabs/NPset-2-Python-Edu.
| Author / organization | AxiomicLabs |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 427 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 1 May 2026 |
| Last updated at source | 7 May 2026 |
Recent changes
- 16 Oct 2026 Description: NPset-2 (Python-Edu) A normalized semi-synthetic Python dataset for training small language models on code logic without the overhead of raw code syntax. Why Small language models trained on natural language corpora develop latent represent → NPset-2 (Python-Edu) A normalized semi-synthetic Python dataset for training small language models on code logic without the overhead of raw code syntax. Why Small language models trained on natural language corpora develop latent represent
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.