Awesome LLM Reasoning Data

Source-grounded research assistant

Ask the Atlas

Learn post-training reasoning data through the companion paper, paper maps, cards, and structured atlas metadata.

🧭 concept tutor 📚 paper finder 🧪 verifier coach 🧯 audit copilot
Answer contract Paper → Atlas → Model
Best for learning paths, paper maps, audits
Owner view quota, cost, questions, gaps
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  • Base2/day
  • Star10/day
  • Fork+20
01 Papercompanion primer first 02 AtlasREADME, tracks, cards 03 Modellabeled fallback only
Usage notice

When the secure backend is connected, this free assistant is paid for by the project maintainer. To prevent abuse and improve the atlas, the backend logs GitHub identity, question and answer text unless you opt out, selected model, token usage, estimated cost, sources, and feedback. Please do not enter private, sensitive, or confidential information.

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Evidence contract

Every answer tells you where the claim comes from.

Ask the Atlas first checks the companion paper, then this repository's paper maps and cards, and only then uses model background knowledge when repository evidence is limited.

  1. 01 Companion paper Highest-trust explanation when the primer covers the concept.
  2. 02 Repository atlas README, guides, tracks, cards, and generated metadata.
  3. 03 Model background Clearly labeled fallback for in-scope gaps.
01 Ask inside the field or repo

Questions can cover post-training reasoning data, verifiers, rewards, agent trajectories, evaluation, audit topics, or how to navigate this project.

02 Ground in atlas sources

Answers retrieve README, guides, paper maps, cards, generated metadata, and the configured companion paper text.

03 Turn curiosity into growth

GitHub login enables quota, star/fork rewards, feedback, and admin analytics that reveal missing docs and cards.