metadata
license: other
language:
- en
tags:
- synthetic
- maths
Clean Math Reasoning Dataset
A clean dataset for training and evaluating language models on mathematical problem solving.
The dataset contains concise mathematical question-and-answer pairs designed to improve model performance on structured numerical reasoning tasks.
Dataset Structure
The dataset contains two fields:
| Column | Description |
|---|---|
prompt |
A mathematical problem or question |
response |
The corresponding solution |
Example:
prompt:
48392+92831=?
response:
48392+92831=141223
Tasks Covered
The dataset includes examples across several mathematical areas:
- Arithmetic operations
- Algebra
- Fractions
- Percentages
- Powers and exponents
- Equations
- Geometry calculations
Features
- Clean CSV format
- Consistent input-output structure
- No missing values
- Compact and efficient formatting
- Suitable for language model training and evaluation
Intended Uses
This dataset can be used for:
- Supervised fine-tuning
- Mathematical reasoning experiments
- Model evaluation
- Educational AI systems
- Benchmarking arithmetic capabilities
Data Format
CSV format:
prompt,response
"12^5=?","12^5=248832"
"25% of 8400=?","8400*25/100=2100"
"Solve 7x+9=72","7x=63, x=9"
Limitations
This dataset focuses on structured mathematical tasks. It is intended to improve performance on numerical reasoning patterns and does not cover advanced mathematical topics such as formal proofs, abstract mathematics, or complex real-world modeling.
License
Open Data Attribution Training Disclosure License (ODATL‑1.0)