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Datasets:
math-ai
/
AutoMathText

Tasks:
Text Generation
Question Answering
Languages:
English
Size Categories:
10B<n<100B
ArXiv:
Tags:
mathematical-reasoning
reasoning
finetuning
pretraining
llm
License:
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metadata
license: cc-by-sa-4.0
task_categories:
  - text-generation
  - question-answering
language:
  - en
pretty_name: AutoMathText
size_categories:
  - 10B<n<100B
configs:
  - config_name: web-0.50-to-1.00
    data_files:
      - split: train
        path:
          - data/web/0.95-1.00.jsonl
          - data/web/0.90-0.95.jsonl
          - data/web/0.85-0.90.jsonl
          - data/web/0.80-0.85.jsonl
          - data/web/0.75-0.80.jsonl
          - data/web/0.70-0.75.jsonl
          - data/web/0.65-0.70.jsonl
          - data/web/0.60-0.65.jsonl
          - data/web/0.55-0.60.jsonl
          - data/web/0.50-0.55.jsonl
    default: true
  - config_name: web-0.60-to-1.00
    data_files:
      - split: train
        path:
          - data/web/0.95-1.00.jsonl
          - data/web/0.90-0.95.jsonl
          - data/web/0.85-0.90.jsonl
          - data/web/0.80-0.85.jsonl
          - data/web/0.75-0.80.jsonl
          - data/web/0.70-0.75.jsonl
          - data/web/0.65-0.70.jsonl
          - data/web/0.60-0.65.jsonl
  - config_name: web-0.70-to-1.00
    data_files:
      - split: train
        path:
          - data/web/0.95-1.00.jsonl
          - data/web/0.90-0.95.jsonl
          - data/web/0.85-0.90.jsonl
          - data/web/0.80-0.85.jsonl
          - data/web/0.75-0.80.jsonl
          - data/web/0.70-0.75.jsonl
  - config_name: web-0.80-to-1.00
    data_files:
      - split: train
        path:
          - data/web/0.95-1.00.jsonl
          - data/web/0.90-0.95.jsonl
          - data/web/0.85-0.90.jsonl
          - data/web/0.80-0.85.jsonl
  - config_name: web-full
    data_files: data/web/*.jsonl
  - config_name: arxiv-0.50-to-1.00
    data_files:
      - split: train
        path:
          - data/arxiv/0.90-1.00/*.jsonl
          - data/arxiv/0.80-0.90/*.jsonl
          - data/arxiv/0.70-0.80/*.jsonl
          - data/arxiv/0.60-0.70/*.jsonl
          - data/arxiv/0.50-0.60/*.jsonl
  - config_name: arxiv-0.60-to-1.00
    data_files:
      - split: train
        path:
          - data/arxiv/0.90-1.00/*.jsonl
          - data/arxiv/0.80-0.90/*.jsonl
          - data/arxiv/0.70-0.80/*.jsonl
          - data/arxiv/0.60-0.70/*.jsonl
  - config_name: arxiv-0.70-to-1.00
    data_files:
      - split: train
        path:
          - data/arxiv/0.90-1.00/*.jsonl
          - data/arxiv/0.80-0.90/*.jsonl
          - data/arxiv/0.70-0.80/*.jsonl
  - config_name: arxiv-0.80-to-1.00
    data_files:
      - split: train
        path:
          - data/arxiv/0.90-1.00/*.jsonl
          - data/arxiv/0.80-0.90/*.jsonl
  - config_name: arxiv-full
    data_files:
      - split: train
        path:
          - data/arxiv/0.90-1.00/*.jsonl
          - data/arxiv/0.80-0.90/*.jsonl
          - data/arxiv/0.70-0.80/*.jsonl
          - data/arxiv/0.60-0.70/*.jsonl
          - data/arxiv/0.50-0.60/*.jsonl
          - data/arxiv/0.00-0.50/*.jsonl
  - config_name: code-0.50-to-1.00
    data_files:
      - split: train
        path:
          - data/code/agda/0.95-1.00.jsonl
          - data/code/agda/0.90-0.95.jsonl
          - data/code/agda/0.85-0.90.jsonl
          - data/code/agda/0.80-0.85.jsonl
          - data/code/agda/0.75-0.80.jsonl
          - data/code/agda/0.70-0.75.jsonl
          - data/code/agda/0.65-0.70.jsonl
          - data/code/agda/0.60-0.65.jsonl
          - data/code/agda/0.55-0.60.jsonl
          - data/code/agda/0.50-0.55.jsonl
          - data/code/c/0.95-1.00.jsonl
          - data/code/c/0.90-0.95.jsonl
          - data/code/c/0.85-0.90.jsonl
          - data/code/c/0.80-0.85.jsonl
          - data/code/c/0.75-0.80.jsonl
          - data/code/c/0.70-0.75.jsonl
          - data/code/c/0.65-0.70.jsonl
          - data/code/c/0.60-0.65.jsonl
          - data/code/c/0.55-0.60.jsonl
          - data/code/c/0.50-0.55.jsonl
          - data/code/cpp/0.95-1.00.jsonl
          - data/code/cpp/0.90-0.95.jsonl
          - data/code/cpp/0.85-0.90.jsonl
          - data/code/cpp/0.80-0.85.jsonl
          - data/code/cpp/0.75-0.80.jsonl
          - data/code/cpp/0.70-0.75.jsonl
          - data/code/cpp/0.65-0.70.jsonl
          - data/code/cpp/0.60-0.65.jsonl
          - data/code/cpp/0.55-0.60.jsonl
          - data/code/cpp/0.50-0.55.jsonl
          - data/code/fortran/0.95-1.00.jsonl
          - data/code/fortran/0.90-0.95.jsonl
          - data/code/fortran/0.85-0.90.jsonl
          - data/code/fortran/0.80-0.85.jsonl
          - data/code/fortran/0.75-0.80.jsonl
          - data/code/fortran/0.70-0.75.jsonl
          - data/code/fortran/0.65-0.70.jsonl
          - data/code/fortran/0.60-0.65.jsonl
          - data/code/fortran/0.55-0.60.jsonl
          - data/code/fortran/0.50-0.55.jsonl
          - data/code/gap/0.95-1.00.jsonl
          - data/code/gap/0.90-0.95.jsonl
          - data/code/gap/0.85-0.90.jsonl
          - data/code/gap/0.80-0.85.jsonl
          - data/code/gap/0.75-0.80.jsonl
          - data/code/gap/0.70-0.75.jsonl
          - data/code/gap/0.65-0.70.jsonl
          - data/code/gap/0.60-0.65.jsonl
          - data/code/gap/0.55-0.60.jsonl
          - data/code/gap/0.50-0.55.jsonl
          - data/code/github-coq-train/0.95-1.00.jsonl
          - data/code/github-coq-train/0.90-0.95.jsonl
          - data/code/github-coq-train/0.85-0.90.jsonl
          - data/code/github-coq-train/0.80-0.85.jsonl
          - data/code/github-coq-train/0.75-0.80.jsonl
          - data/code/github-coq-train/0.70-0.75.jsonl
          - data/code/github-coq-train/0.65-0.70.jsonl
          - data/code/github-coq-train/0.60-0.65.jsonl
          - data/code/github-coq-train/0.55-0.60.jsonl
          - data/code/github-coq-train/0.50-0.55.jsonl
          - data/code/github-isabelle-train/0.95-1.00.jsonl
          - data/code/github-isabelle-train/0.90-0.95.jsonl
          - data/code/github-isabelle-train/0.85-0.90.jsonl
          - data/code/github-isabelle-train/0.80-0.85.jsonl
          - data/code/github-isabelle-train/0.75-0.80.jsonl
          - data/code/github-isabelle-train/0.70-0.75.jsonl
          - data/code/github-isabelle-train/0.65-0.70.jsonl
          - data/code/github-isabelle-train/0.60-0.65.jsonl
          - data/code/github-isabelle-train/0.55-0.60.jsonl
          - data/code/github-isabelle-train/0.50-0.55.jsonl
          - data/code/github-lean-train/0.95-1.00.jsonl
          - data/code/github-lean-train/0.90-0.95.jsonl
          - data/code/github-lean-train/0.85-0.90.jsonl
          - data/code/github-lean-train/0.80-0.85.jsonl
          - data/code/github-lean-train/0.75-0.80.jsonl
          - data/code/github-lean-train/0.70-0.75.jsonl
          - data/code/github-lean-train/0.65-0.70.jsonl
          - data/code/github-lean-train/0.60-0.65.jsonl
          - data/code/github-lean-train/0.55-0.60.jsonl
          - data/code/github-lean-train/0.50-0.55.jsonl
          - data/code/github-MATLAB-train/0.95-1.00.jsonl
          - data/code/github-MATLAB-train/0.90-0.95.jsonl
          - data/code/github-MATLAB-train/0.85-0.90.jsonl
          - data/code/github-MATLAB-train/0.80-0.85.jsonl
          - data/code/github-MATLAB-train/0.75-0.80.jsonl
          - data/code/github-MATLAB-train/0.70-0.75.jsonl
          - data/code/github-MATLAB-train/0.65-0.70.jsonl
          - data/code/github-MATLAB-train/0.60-0.65.jsonl
          - data/code/github-MATLAB-train/0.55-0.60.jsonl
          - data/code/github-MATLAB-train/0.50-0.55.jsonl
          - data/code/haskell/0.95-1.00.jsonl
          - data/code/haskell/0.90-0.95.jsonl
          - data/code/haskell/0.85-0.90.jsonl
          - data/code/haskell/0.80-0.85.jsonl
          - data/code/haskell/0.75-0.80.jsonl
          - data/code/haskell/0.70-0.75.jsonl
          - data/code/haskell/0.65-0.70.jsonl
          - data/code/haskell/0.60-0.65.jsonl
          - data/code/haskell/0.55-0.60.jsonl
          - data/code/haskell/0.50-0.55.jsonl
          - data/code/idris/0.95-1.00.jsonl
          - data/code/idris/0.90-0.95.jsonl
          - data/code/idris/0.85-0.90.jsonl
          - data/code/idris/0.80-0.85.jsonl
          - data/code/idris/0.75-0.80.jsonl
          - data/code/idris/0.70-0.75.jsonl
          - data/code/idris/0.65-0.70.jsonl
          - data/code/idris/0.60-0.65.jsonl
          - data/code/idris/0.55-0.60.jsonl
          - data/code/idris/0.50-0.55.jsonl
          - data/code/isa_proofsteps/0.95-1.00.jsonl
          - data/code/isa_proofsteps/0.90-0.95.jsonl
          - data/code/isa_proofsteps/0.85-0.90.jsonl
          - data/code/isa_proofsteps/0.80-0.85.jsonl
          - data/code/isa_proofsteps/0.75-0.80.jsonl
          - data/code/isa_proofsteps/0.70-0.75.jsonl
          - data/code/isa_proofsteps/0.65-0.70.jsonl
          - data/code/isa_proofsteps/0.60-0.65.jsonl
          - data/code/isa_proofsteps/0.55-0.60.jsonl
          - data/code/isa_proofsteps/0.50-0.55.jsonl
          - data/code/julia/0.95-1.00.jsonl
          - data/code/julia/0.90-0.95.jsonl
          - data/code/julia/0.85-0.90.jsonl
          - data/code/julia/0.80-0.85.jsonl
          - data/code/julia/0.75-0.80.jsonl
          - data/code/julia/0.70-0.75.jsonl
          - data/code/julia/0.65-0.70.jsonl
          - data/code/julia/0.60-0.65.jsonl
          - data/code/julia/0.55-0.60.jsonl
          - data/code/julia/0.50-0.55.jsonl
          - data/code/jupyter-notebook/0.95-1.00.jsonl
          - data/code/jupyter-notebook/0.90-0.95.jsonl
          - data/code/jupyter-notebook/0.85-0.90.jsonl
          - data/code/jupyter-notebook/0.80-0.85.jsonl
          - data/code/jupyter-notebook/0.75-0.80.jsonl
          - data/code/jupyter-notebook/0.70-0.75.jsonl
          - data/code/jupyter-notebook/0.65-0.70.jsonl
          - data/code/jupyter-notebook/0.60-0.65.jsonl
          - data/code/jupyter-notebook/0.55-0.60.jsonl
          - data/code/jupyter-notebook/0.50-0.55.jsonl
          - data/code/lean_proofsteps/0.95-1.00.jsonl
          - data/code/lean_proofsteps/0.90-0.95.jsonl
          - data/code/lean_proofsteps/0.85-0.90.jsonl
          - data/code/lean_proofsteps/0.80-0.85.jsonl
          - data/code/lean_proofsteps/0.75-0.80.jsonl
          - data/code/lean_proofsteps/0.70-0.75.jsonl
          - data/code/lean_proofsteps/0.65-0.70.jsonl
          - data/code/lean_proofsteps/0.60-0.65.jsonl
          - data/code/lean_proofsteps/0.55-0.60.jsonl
          - data/code/lean_proofsteps/0.50-0.55.jsonl
          - data/code/maple/0.95-1.00.jsonl
          - data/code/maple/0.90-0.95.jsonl
          - data/code/maple/0.85-0.90.jsonl
          - data/code/maple/0.80-0.85.jsonl
          - data/code/maple/0.75-0.80.jsonl
          - data/code/maple/0.70-0.75.jsonl
          - data/code/maple/0.65-0.70.jsonl
          - data/code/maple/0.60-0.65.jsonl
          - data/code/maple/0.55-0.60.jsonl
          - data/code/maple/0.50-0.55.jsonl
          - data/code/python/0.95-1.00.jsonl
          - data/code/python/0.90-0.95.jsonl
          - data/code/python/0.85-0.90.jsonl
          - data/code/python/0.80-0.85.jsonl
          - data/code/python/0.75-0.80.jsonl
          - data/code/python/0.70-0.75.jsonl
          - data/code/python/0.65-0.70.jsonl
          - data/code/python/0.60-0.65.jsonl
          - data/code/python/0.55-0.60.jsonl
          - data/code/python/0.50-0.55.jsonl
          - data/code/r/0.95-1.00.jsonl
          - data/code/r/0.90-0.95.jsonl
          - data/code/r/0.85-0.90.jsonl
          - data/code/r/0.80-0.85.jsonl
          - data/code/r/0.75-0.80.jsonl
          - data/code/r/0.70-0.75.jsonl
          - data/code/r/0.65-0.70.jsonl
          - data/code/r/0.60-0.65.jsonl
          - data/code/r/0.55-0.60.jsonl
          - data/code/r/0.50-0.55.jsonl
          - data/code/tex/0.95-1.00.jsonl
          - data/code/tex/0.90-0.95.jsonl
          - data/code/tex/0.85-0.90.jsonl
          - data/code/tex/0.80-0.85.jsonl
          - data/code/tex/0.75-0.80.jsonl
          - data/code/tex/0.70-0.75.jsonl
          - data/code/tex/0.65-0.70.jsonl
          - data/code/tex/0.60-0.65.jsonl
          - data/code/tex/0.55-0.60.jsonl
          - data/code/tex/0.50-0.55.jsonl
  - config_name: code-python-0.50-to-1.00
    data_files:
      - split: train
        path:
          - data/code/python/0.95-1.00.jsonl
          - data/code/python/0.90-0.95.jsonl
          - data/code/python/0.85-0.90.jsonl
          - data/code/python/0.80-0.85.jsonl
          - data/code/python/0.75-0.80.jsonl
          - data/code/python/0.70-0.75.jsonl
          - data/code/python/0.65-0.70.jsonl
          - data/code/python/0.60-0.65.jsonl
          - data/code/python/0.55-0.60.jsonl
          - data/code/python/0.50-0.55.jsonl
  - config_name: code-python-0.60-to-1.00
    data_files:
      - split: train
        path:
          - data/code/python/0.95-1.00.jsonl
          - data/code/python/0.90-0.95.jsonl
          - data/code/python/0.85-0.90.jsonl
          - data/code/python/0.80-0.85.jsonl
          - data/code/python/0.75-0.80.jsonl
          - data/code/python/0.70-0.75.jsonl
          - data/code/python/0.65-0.70.jsonl
          - data/code/python/0.60-0.65.jsonl
  - config_name: code-python-0.70-to-1.00
    data_files:
      - split: train
        path:
          - data/code/python/0.95-1.00.jsonl
          - data/code/python/0.90-0.95.jsonl
          - data/code/python/0.85-0.90.jsonl
          - data/code/python/0.80-0.85.jsonl
          - data/code/python/0.75-0.80.jsonl
          - data/code/python/0.70-0.75.jsonl
  - config_name: code-python-0.80-to-1.00
    data_files:
      - split: train
        path:
          - data/code/python/0.95-1.00.jsonl
          - data/code/python/0.90-0.95.jsonl
          - data/code/python/0.85-0.90.jsonl
          - data/code/python/0.80-0.85.jsonl
  - config_name: code-jupyter-notebook-0.50-to-1.00
    data_files:
      - split: train
        path:
          - data/code/jupyter-notebook/0.95-1.00.jsonl
          - data/code/jupyter-notebook/0.90-0.95.jsonl
          - data/code/jupyter-notebook/0.85-0.90.jsonl
          - data/code/jupyter-notebook/0.80-0.85.jsonl
          - data/code/jupyter-notebook/0.75-0.80.jsonl
          - data/code/jupyter-notebook/0.70-0.75.jsonl
          - data/code/jupyter-notebook/0.65-0.70.jsonl
          - data/code/jupyter-notebook/0.60-0.65.jsonl
          - data/code/jupyter-notebook/0.55-0.60.jsonl
          - data/code/jupyter-notebook/0.50-0.55.jsonl
  - config_name: code-jupyter-notebook-0.60-to-1.00
    data_files:
      - split: train
        path:
          - data/code/jupyter-notebook/0.95-1.00.jsonl
          - data/code/jupyter-notebook/0.90-0.95.jsonl
          - data/code/jupyter-notebook/0.85-0.90.jsonl
          - data/code/jupyter-notebook/0.80-0.85.jsonl
          - data/code/jupyter-notebook/0.75-0.80.jsonl
          - data/code/jupyter-notebook/0.70-0.75.jsonl
          - data/code/jupyter-notebook/0.65-0.70.jsonl
          - data/code/jupyter-notebook/0.60-0.65.jsonl
  - config_name: code-jupyter-notebook-0.70-to-1.00
    data_files:
      - split: train
        path:
          - data/code/jupyter-notebook/0.95-1.00.jsonl
          - data/code/jupyter-notebook/0.90-0.95.jsonl
          - data/code/jupyter-notebook/0.85-0.90.jsonl
          - data/code/jupyter-notebook/0.80-0.85.jsonl
          - data/code/jupyter-notebook/0.75-0.80.jsonl
          - data/code/jupyter-notebook/0.70-0.75.jsonl
  - config_name: code-jupyter-notebook-0.80-to-1.00
    data_files:
      - split: train
        path:
          - data/code/jupyter-notebook/0.95-1.00.jsonl
          - data/code/jupyter-notebook/0.90-0.95.jsonl
          - data/code/jupyter-notebook/0.85-0.90.jsonl
          - data/code/jupyter-notebook/0.80-0.85.jsonl
  - config_name: code-full
    data_files:
      - split: train
        path:
          - data/code/*/*.jsonl
tags:
  - mathematical-reasoning
  - reasoning
  - finetuning
  - pretraining
  - llm

AutoMathText

AutoMathText is an extensive and carefully curated dataset encompassing around 200 GB of mathematical texts. It's a compilation sourced from a diverse range of platforms including various websites, arXiv, and GitHub (OpenWebMath, RedPajama, Algebraic Stack). This rich repository has been autonomously selected (labeled) by the state-of-the-art open-source language model, Qwen-72B. Each piece of content in the dataset is assigned a score lm_q1q2_score within the range of [0, 1], reflecting its relevance, quality and educational value in the context of mathematical intelligence.

GitHub homepage: https://github.com/yifanzhang-pro/AutoMathText

ArXiv paper: https://arxiv.org/abs/2402.07625

Objective

The primary aim of the AutoMathText dataset is to provide a comprehensive and reliable resource for a wide array of users - from academic researchers and educators to AI practitioners and mathematics enthusiasts. This dataset is particularly geared towards:

  • Facilitating advanced research in the intersection of mathematics and artificial intelligence.
  • Serving as an educational tool for learning and teaching complex mathematical concepts.
  • Providing a foundation for developing and training AI models specialized in processing and understanding mathematical content.

Configs 

configs:
  - config_name: web-0.50-to-1.00
    data_files:
      - split: train
        path:
          - data/web/0.95-1.00.jsonl
          - data/web/0.90-0.95.jsonl
          - ...
          - data/web/0.50-0.55.jsonl
    default: true
  - config_name: web-0.60-to-1.00
  - config_name: web-0.70-to-1.00
  - config_name: web-0.80-to-1.00
  - config_name: web-full
    data_files: data/web/*.jsonl
  - config_name: arxiv-0.50-to-1.00
    data_files:
      - split: train
        path:
          - data/arxiv/0.90-1.00/*.jsonl
          - ...
          - data/arxiv/0.50-0.60/*.jsonl
  - config_name: arxiv-0.60-to-1.00
  - config_name: arxiv-0.70-to-1.00
  - config_name: arxiv-0.80-to-1.00
  - config_name: arxiv-full
    data_files: data/arxiv/*/*.jsonl
  - config_name: code-0.50-to-1.00
    data_files:
      - split: train
        path:
          - data/code/*/0.95-1.00.jsonl
          - ...
          - data/code/*/0.50-0.55.jsonl
  - config_name: code-python-0.50-to-1.00
      - split: train
        path:
          - data/code/python/0.95-1.00.jsonl
          - ...
          - data/code/python/0.50-0.55.jsonl
  - config_name: code-python-0.60-to-1.00
  - config_name: code-python-0.70-to-1.00
  - config_name: code-python-0.80-to-1.00
  - config_name: code-jupyter-notebook-0.50-to-1.00
      - split: train
        path:
          - data/code/jupyter-notebook/0.95-1.00.jsonl
          - ...
          - data/code/jupyter-notebook/0.50-0.55.jsonl
  - config_name: code-jupyter-notebook-0.60-to-1.00
  - config_name: code-jupyter-notebook-0.70-to-1.00
  - config_name: code-jupyter-notebook-0.80-to-1.00
  - config_name: code-full
    data_files: data/code/*/*.jsonl

How to load data:

from datasets import load_dataset

ds = load_dataset("math-ai/AutoMathText", "web-0.50-to-1.00") # or any valid config_name

Features

  • Volume: Approximately 200 GB of text data (in natural language and programming language).
  • Content: A diverse collection of mathematical texts, including but not limited to research papers, educational articles, and code documentation.
  • Labeling: Every text is scored by Qwen-72B, a sophisticated language model, ensuring a high standard of relevance and accuracy.
  • Scope: Covers a wide spectrum of mathematical topics, making it suitable for various applications in advanced research and education.

References

Citation

We appreciate your use of AutoMathText in your work. If you find this repository helpful, please consider citing it and star this repo. Feel free to contact zhangyif21@tsinghua.edu.cn or open an issue if you have any questions (GitHub homepage: https://github.com/yifanzhang-pro/AutoMathText).

@article{zhang2024automathtext,
      title={AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts},
      author={Zhang, Yifan and Luo, Yifan and Yuan, Yang and Yao, Andrew Chi-Chih},
      journal={arXiv preprint arXiv:2402.07625},
      year={2024},
}