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---
license: mit
dataset_info:
features:
- name: tag
dtype: string
- name: question_body
dtype: string
- name: accepted_answer
dtype: string
- name: second_answer
dtype: string
splits:
- name: train
num_bytes: 11960931.546863988
num_examples: 2270
- name: test
num_bytes: 2992867.4531360115
num_examples: 568
download_size: 6649416
dataset_size: 14953799.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Mathematics Q&A Dataset
This dataset contains questions and answers focused on various topics within the field of mathematics. The dataset includes columns for tags, question bodies, accepted answers, and secondary answers.
## Table of Contents
- [Dataset Overview](#dataset-overview)
- [Topics Covered](#topics-covered)
- [Data Columns](#data-columns)
- [Usage](#usage)
- [License](#license)
- [Contributing](#contributing)
- [Contact](#contact)
## Dataset Overview
The Mathematics Q&A Dataset consists of questions and their corresponding answers from various mathematical topics. This dataset is valuable for research and development in natural language processing (NLP), machine learning (ML), and educational applications.
## Topics Covered
The dataset covers a variety of mathematical topics:
- Combinatorics
- Differentiation
- Game Theory
- Geometry
- Linear Algebra
- Logic
- Matrices
- Number Theory
- Probability
## Data Columns
The dataset is structured into the following columns:
- `tag`: The category or topic of the question.
- `question_body`: The full text of the question.
- `accepted_answer`: The accepted answer to the question.
- `second_answer`: An additional answer to the question, providing another perspective or solution.
### Example
| tag | question_body | accepted_answer | second_answer |
|----------------|------------------------------------------------------------------|----------------------------------------------------------------|--------------------------------------|
| probability | What is the probability of getting heads in a coin toss? | The probability is 0.5, as there are two possible outcomes. | The probability of heads is 50%. |
| linear-algebra | How do you find the determinant of a matrix? | To find the determinant, you can use the Laplace expansion. | You can also use row reduction. |
## Usage
The dataset can be used for various purposes, including but not limited to:
- Training machine learning models for question answering systems.
- Developing educational tools and applications.
- Conducting research in NLP and text mining.
### Accessing the Data
To access the dataset, download the file from the repository: