sapbot/

coderppl

A curated code perplexity evaluation corpus — 9,324 lines of real-world, working code across 24 files and 5 programming languages. Source: github.com/sapbotgit/code-doodles This dataset is designed to measure code perplexity (PPL) — how well a language model predicts actual hand-written code across multiple languages and programming paradigms.

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Language Files Examples

Python 5 LLM trainers, proxy scanner, fine-tuning tools

JavaScript… See the full description on the dataset page: https://huggingface.co/datasets/sapbot/coderppl.