---
license: cc-by-nc-4.0
language:
  - en
task_categories:
  - question-answering
  - text-generation
tags:
  - mathematics
  - education
  - word-problems
pretty_name: Math Problem Generator Dataset
size_categories:
  - 100K<n<1M
---

# Dataset Card for Math Problem Generator


### Dataset Summary

This dataset contains a subset of 100,000 procedurally generated math word problems, covering various mathematical concepts and difficulty levels. The problems were generated using a Java program that creates contextual word problems with detailed solutions and explanations.

🔗 [Full dataset available on Gumroad](https://datadeveloper1.gumroad.com/l/woypqt)

### Supported Tasks and Leaderboards

This dataset can be used for:
- Math word problem solving
- Educational AI systems
- Math question generation
- Automatic explanation generation

### Languages

The dataset is in English.

## Dataset Structure

### Data Instances

Each instance contains:
- Problem category/type
- The word problem text
- The correct answer
- A step-by-step explanation

Example:
Category: fractions addition
Alice has 3/4 of a pizza and finds another 2/5 of the same pizza. How much pizza does Alice have in total?
Answer: 23/20
Explanation: To add fractions, find a common denominator (20). Convert 3/4 to 15/20 and 2/5 to 8/20. Add the numerators: 15 + 8 = 23. The answer is 23/20.

text

### Data Fields

- `operation`: Math category (addition, fractions, algebra, etc.)
- `problem_text`: The word problem
- `answer`: The correct answer (format varies by problem type)
- `explanation`: Step-by-step solution

### Data Splits

The dataset comes as a single file with all 100,000 problems.

## Dataset Creation

### Curation Rationale

This dataset was created to provide a large, diverse set of math word problems for training educational AI systems. The problems cover fundamental math concepts with varying contexts to improve generalization.

### Source Data

The problems are procedurally generated using predefined templates and randomization of:
- Mathematical operations
- Subjects/objects
- Character names
- Real-world contexts

### Annotations

Each problem includes:
- Automatically generated correct answer
- Step-by-step explanation
- Problem categorization

### Personal and Sensitive Information

The dataset uses common first names and generic objects, containing no real personal information.

## Considerations for Using the Data

### Social Impact of Dataset

This dataset can help:
- Develop educational tools for math learning
- Create AI tutors for students
- Generate practice problems at scale

### Discussion of Biases

Potential biases include:
- Western-centric names and contexts
- Limited to elementary/middle school math levels
- English language only

### Other Known Limitations

- Problems are generated rather than human-written
- Limited creative variation in problem structures
- Explanations follow standardized formats

## Additional Information

### Dataset Curators

C.J. Jones

### Licensing Information

cc-by-nc-4.0

### Citation Information

If you use this dataset, please cite it as: Part of the C.J. Jones synthetic data collection. With link back to this page.