metadata

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
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.

Dataset Overview
Topics Covered
Data Columns
Usage
License
Contributing
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:

Datasets:

blesspearl
/

stackexchange-math-sample