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---
license: mit
task_categories:
- question-answering
tags:
- math
pretty_name: Easy Math Dataset
size_categories:
- 1M<n<10M
---
# Beginner Math Dataset
[](https://opensource.org/licenses/MIT)
A large-scale dataset containing 1,000,000 math problems and solutions for basic arithmetic operations and word problems.
## Dataset Details
- **License:** MIT
- **Task Category:** Question Answering
- **Tags:** Math, Arithmetic, Word Problems
- **Size:** 100K < n < 1M (423,810 rows)
- **Split:** Train only (1M rows)
## Dataset Structure
Each example contains two fields:
- `input`: Math problem in natural language or numerical form
- `response`: Numerical answer (may include negative numbers and decimals)
Example rows:
```python
{
"input": "If you have one hundred and sixty apples and found four more, how many apples do you have?",
"response": "40.0"
},
{
"input": "976-454",
"response": "522"
},
{
"input": "Calculate: nineteen times twenty three",
"response": "437"
}
```
## Usage
Load with Hugging Face `datasets`:
```python
from datasets import load_dataset
dataset = load_dataset("PingVortex/beginner-math-dataset")
```
## Features
- Mixed format problems (word-based and numerical)
- Basic operations (addition, subtraction, multiplication, division)
- Negative number calculations
- Word problems with real-world contexts
- Both integer and decimal solutions
## Community
Join my Discord for support and updates:
[](https://discord.gg/At3CcCqcR2) (Server is not invalid)
## Example Use Cases
- Math problem solving models
- Arithmetic accuracy benchmarks
- Word problem understanding tasks
- Educational AI systems
## Citation
If you use this dataset in your research, please credit:
```bibtex
@misc{easymath2025,
author = {PingVortex},
title = {Easy Math Dataset},
year = {2025},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/PingVortex/beginner-math-dataset}}
}
``` |