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license: mit
---
# LM optimization: reasoning documents
Generated reasoning documents from https://github.com/LamShiuChing/LM-optimization. The datasets are recipes
(`src/tasks.py` generates them from a seed); each `<version>.jsonl` here is a 100k-document sample of one
version, one JSON object per line with `task`, `prompt`, `cot` (the step trace) and `answer`. A document
trains as `prompt|cot=answer`. The format is described in `docs/language.md` and `docs/dataset.md` of the repo.
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