metadata

license: cc-by-4.0
task_categories:
  - text-generation
  - question-answering
language:
  - fa
pretty_name: StackMathQA
size_categories:
  - 1B<n<10B
configs:
  - config_name: stackmathqa1600k
    data_files: data/stackmathqa1600k/all.jsonl
    default: true
  - config_name: stackmathqa800k
    data_files: data/stackmathqa800k/all.jsonl
  - config_name: stackmathqa400k
    data_files: data/stackmathqa400k/all.jsonl
  - config_name: stackmathqa200k
    data_files: data/stackmathqa200k/all.jsonl
  - config_name: stackmathqa100k
    data_files: data/stackmathqa100k/all.jsonl
  - config_name: stackmathqafull-1q1a
    data_files: preprocessed/stackexchange-math--1q1a/*.jsonl
  - config_name: stackmathqafull-qalist
    data_files: preprocessed/stackexchange-math/*.jsonl
tags:
  - mathematical-reasoning
  - reasoning
  - finetuning
  - pretraining
  - llm

StackMathQA

StackMathQA is a meticulously curated collection of 2 million mathematical questions and answers, sourced from various Stack Exchange sites. This repository is designed to serve as a comprehensive resource for researchers, educators, and enthusiasts in the field of mathematics and AI research.

Configs

configs:
- config_name: stackmathqa1600k
  data_files: data/stackmathqa1600k/all.jsonl
  default: true
- config_name: stackmathqa800k
  data_files: data/stackmathqa800k/all.jsonl
- config_name: stackmathqa400k
  data_files: data/stackmathqa400k/all.jsonl
- config_name: stackmathqa200k
  data_files: data/stackmathqa200k/all.jsonl
- config_name: stackmathqa100k
  data_files: data/stackmathqa100k/all.jsonl
- config_name: stackmathqafull-1q1a
  data_files: preprocessed/stackexchange-math--1q1a/*.jsonl
- config_name: stackmathqafull-qalist
  data_files: preprocessed/stackexchange-math/*.jsonl

How to load data:

from datasets import load_dataset

ds = load_dataset("math-ai/StackMathQA", "stackmathqa1600k") # or any valid config_name

Preprocessed Data

In the ./preprocessed/stackexchange-math directory and ./preprocessed/stackexchange-math--1q1a directory, you will find the data structured in two formats:

Question and List of Answers Format: Each entry is structured as {"Q": "question", "A_List": ["answer1", "answer2", ...]}.
- math.stackexchange.com.jsonl: 827,439 lines
- mathoverflow.net.jsonl: 90,645 lines
- stats.stackexchange.com.jsonl: 103,024 lines
- physics.stackexchange.com.jsonl: 117,318 lines
- In total: 1,138,426 questions

dataset_info:
  features:
    - name: Q
      dtype: string
      description: "The mathematical question in LaTeX encoded format."
    - name: A_list
      dtype: sequence
      description: "The list of answers to the mathematical question, also in LaTeX encoded."
    - name: meta
      dtype: dict
      description: "A collection of metadata for each question and its corresponding answer list."

Question and Single Answer Format: Each line contains a question and one corresponding answer, structured as {"Q": "question", "A": "answer"}. Multiple answers for the same question are separated into different lines.
- math.stackexchange.com.jsonl: 1,407,739 lines
- mathoverflow.net.jsonl: 166,592 lines
- stats.stackexchange.com.jsonl: 156,143 lines
- physics.stackexchange.com.jsonl: 226,532 lines
- In total: 1,957,006 answers

dataset_info:
  features:
    - name: Q
      dtype: string
      description: "The mathematical question in LaTeX encoded format."
    - name: A
      dtype: string
      description: "The answer to the mathematical question, also in LaTeX encoded."
    - name: meta
      dtype: dict
      description: "A collection of metadata for each question-answer pair."

Selected Data

The dataset has been carefully curated using importance sampling. We offer selected subsets of the dataset (./preprocessed/stackexchange-math--1q1a) with different sizes to cater to varied needs:

dataset_info:
  features:
    - name: Q
      dtype: string
      description: "The mathematical question in LaTeX encoded format."
    - name: A
      dtype: string
      description: "The answer to the mathematical question, also in LaTeX encoded."
    - name: meta
      dtype: dict
      description: "A collection of metadata for each question-answer pair."

StackMathQA1600K

Location: ./data/stackmathqa1600k
Contents:
- all.jsonl: Containing 1.6 million entries.
- meta.json: Metadata and additional information.

Source: Stack Exchange (Math), Count: 1244887
Source: MathOverflow, Count: 110041
Source: Stack Exchange (Stats), Count: 99878
Source: Stack Exchange (Physics), Count: 145194

Similar structures are available for StackMathQA800K, StackMathQA400K, StackMathQA200K, and StackMathQA100K subsets.

StackMathQA800K

Location: ./data/stackmathqa800k
Contents:
- all.jsonl: Containing 800k entries.
- meta.json: Metadata and additional information.

Source: Stack Exchange (Math), Count: 738850
Source: MathOverflow, Count: 24276
Source: Stack Exchange (Stats), Count: 15046
Source: Stack Exchange (Physics), Count: 21828

StackMathQA400K

Location: ./data/stackmathqa400k
Contents:
- all.jsonl: Containing 400k entries.
- meta.json: Metadata and additional information.

Source: Stack Exchange (Math), Count: 392940
Source: MathOverflow, Count: 3963
Source: Stack Exchange (Stats), Count: 1637
Source: Stack Exchange (Physics), Count: 1460

StackMathQA200K

Location: ./data/stackmathqa200k
Contents:
- all.jsonl: Containing 200k entries.
- meta.json: Metadata and additional information.

Source: Stack Exchange (Math), Count: 197792
Source: MathOverflow, Count: 1367
Source: Stack Exchange (Stats), Count: 423
Source: Stack Exchange (Physics), Count: 418

StackMathQA100K

Location: ./data/stackmathqa100k
Contents:
- all.jsonl: Containing 100k entries.
- meta.json: Metadata and additional information.

Source: Stack Exchange (Math), Count: 99013
Source: MathOverflow, Count: 626
Source: Stack Exchange (Stats), Count: 182
Source: Stack Exchange (Physics), Count: 179

Citation

We appreciate your use of StackMathQA in your work. If you find this repository helpful, please consider citing it and star this repo. Feel free to contact [email protected] or open an issue if you have any questions.

@misc{stackmathqa2024,
      title={StackMathQA: A Curated Collection of 2 Million Mathematical Questions and Answers Sourced from Stack Exchange}, 
      author={Zhang, Yifan},
      year={2024},
      publisher = {HuggingFace},
      url = {https://huggingface.co/datasets/math-ai/StackMathQA}
}