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metadata
language:
  - en
tags:
  - math
  - mathematics
  - reasoning
  - arithmetic
  - algebra
  - word-problems
  - logic
  - chain-of-thought
  - step-by-step
  - education
  - synthetic
  - llm
  - llm-training
  - pretraining
  - finetuning
  - Math
  - Logic
  - Algebra
pretty_name: MathReasoning-325000
size_categories:
  - 100K<n<1M
license: mit

MathReasoning-325000

A synthetic math reasoning dataset containing 325000 examples.

Each row follows a strict reasoning-friendly structure:

  • question
  • problem
  • how_to_solve
  • answer

This format is designed for:

- LLM reasoning

- chain-of-thought style supervision

- math finetuning

- educational tasks


📐 Problem Types

- Addition

- Subtraction

- Multiplication

- Division (integer-safe)


🧪 Recommended Splits

- Train: 80%

- Test: 20%


Generated fully in-memory. No external data sources.