Create README.md

README.md

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+---
+license: mit
+task_categories:
+  - text-generation
+language:
+  - en
+tags:
+  - math
+  - reasoning
+  - sft
+  - preference-pairs
+pretty_name: "Axiom-World Phase-1 general reasoning mixture"
+---
+
+# axiom-general-posttrain — Phase-1 general reasoning mixture (protocol v1)
+
+The Phase-1 ("general warm-start") training mixture of the Axiom-World
+project: a pre-registered, weighted blend of public math-reasoning corpora
+with **dataset-derived gold answers only** (no LLM-generated labels).
+
+- **Code:** https://github.com/m97j/axiom-world (tag `v1.0.0`)
+
+## Contents
+
+| path | what |
+|---|---|
+| `v1/` | SFT mixture — GSM8K (weight 0.6) + MATH-algebra (weight 0.4), target 8,000 records, prompt-level dedup; 500-record held-out retention suite |
+| `pref-v1/` | rejection-sampling preference pairs mined on the same distribution (used by the B2/B3 arms) |
+
+Records are chat-rendered (Qwen3 template) with answers normalized to the
+source datasets' gold format. Fingerprints are recorded in each consuming
+run's `lineage.json`.
+
+## Source datasets & licenses
+
+- **GSM8K** (`openai/gsm8k`) — MIT license. Cobbe et al., 2021.
+- **MATH**, algebra subject (`EleutherAI/hendrycks_math`) — MIT license.
+  Hendrycks et al., 2021.
+
+This repository redistributes preprocessed derivatives of the above under
+their original MIT terms; all credit for the underlying problems goes to the
+original authors.
+
+## Citation
+
+Cite the original datasets (Cobbe et al. 2021; Hendrycks et al. 2021) and the
+Axiom-World tech report.