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README.md

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-license: cc-by-nc-4.0
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+license: cc-by-nc-sa-4.0
+---
+# OmniCult
+
+OmniCult is a high-quality, curated dataset designed for the **continued pre-training** and fine-tuning of compact language models (e.g., Quark 135M). It bridges the gap between classical humanistic thought and rigorous scientific logic.
+
+## 🎯 Core Topics
+
+The dataset is architected around four primary intellectual pillars:
+
+* **Higher Geometry & Spatial Logic:** Foundational texts on multi-dimensional space, tesseracts, and geometric abstraction.
+* **Classical Literature & Philology:** The complete works of foundational English playwrights and poets, preserving archaic syntax and complex narrative structures.
+* **Scientific Method & Natural Philosophy:** Historical treatises on physics, electromagnetism, and the evolution of scientific inquiry.
+* **Lexical Precision:** Structured dictionary data focused on scientific and technical terminology from the 19th and early 20th centuries.
+
+## 🧠 Neural-Ready Features
+
+* **Semantic Tagging:** Integrated `[CONCEPT: ...]` metadata to reinforce cross-domain reasoning (Logical, Detective, and Scientific reasoning).
+* **High Fidelity:** Total removal of OCR noise and modern editorial bloat. Original Victorian punctuation and emphasis are preserved to maintain stylistic depth.
+* **Optimized Chunking:** Text segments are precisely balanced (~2,000 tokens) to fit modern transformer context windows.
+
+## 🚀 Future Scope
+
+OmniCult is a living project. Regular updates will expand the archive with further explorations into classical philosophy, early quantum theory, and expanded linguistic corpora.
+
+## ⚖️ License
+
+Licensed under **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)**. 
+
+*Intended for research and educational use only.*