Create README.md

README.md

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+---
+license: other
+language:
+- en
+tags:
+- synthetic
+- math
+---
+# Massive Step-by-Step Mathematics Instruction Dataset
+
+## Dataset Description
+
+This is a 60GB, highly knowledge-dense dataset designed to teach Large Language Models (LLMs) rigorous mathematical reasoning. 
+
+Unlike standard math datasets that only provide the final answer, this dataset emphasizes **Chain-of-Thought (CoT)** reasoning. Every single row contains a detailed, step-by-step breakdown of how to arrive at the solution, making it ideal for supervised fine-tuning (SFT) to improve an LLM's logical reasoning capabilities.
+
+## Dataset Structure
+
+The dataset is stored as a single CSV file (`math_dataset.csv`) and contains two columns:
+
+- `prompt`: The mathematical question or instruction.
+- `completion`: The step-by-step reasoning and final answer.
+
+## Mathematical Domains Covered
+
+The dataset contains hundreds of millions of examples spanning 10 core mathematical disciplines:
+
+1. **Arithmetic**: Long division with rigorous verification (quotient and remainder proofs).
+2. **Algebra**: Quadratic equations utilizing the discriminant (handling both real and complex roots).
+3. **Calculus**: Indefinite integration using the power rule, and derivatives using the chain rule.
+4. **Linear Algebra**: 2x2 matrix multiplication with explicit dot-product calculations.
+5. **Geometry**: Pythagorean theorem calculations for right-angled triangles.
+6. **Fractions**: Addition of fractions requiring Least Common Multiple (LCM) calculation and simplification via Greatest Common Divisor (GCD).
+7. **Statistics**: Calculation of mean, population variance, and standard deviation.
+8. **Trigonometry**: Exact trigonometric values derived from the unit circle and special triangles.
+9. **Logarithms**: Evluation of logarithms by converting between logarithmic and exponential forms.
+
+## License
+Open Data Attribution Training Disclosure License (ODATL‑1.0)