metadata

license: apache-2.0
task_categories:
  - image-to-text
language:
  - en
tags:
  - math
  - Real-Complex-Analysis
  - textbooks
size_categories:
  - n<1K

Real-Complex-Analysis-Math

This dataset contains high-quality scanned pages from the classic mathematics textbook by Walter Rudin, widely used in advanced undergraduate and graduate-level courses on real and complex analysis. It is ideal for building OCR systems, digitizing textbooks, or creating educational AI tools for higher mathematics.

Dataset Details

Source: Principles of Mathematical Analysis and Real and Complex Analysis by Walter Rudin
Task: Image-to-Text (OCR, textbook parsing)
Modality: Image
Split: train
Number of Samples: 433 images
Size:
- Dataset files: 353 MB
- Auto-converted Parquet: 382 MB
Language: English
License: Apache 2.0

Features

Feature	Type
image	Image

Each row consists of a scanned page from Rudin's textbook, suitable for OCR and mathematical content recognition tasks.

Use Cases

OCR training for mathematical text and symbols
Digitization of classic mathematical literature
Training data for document layout analysis
Semantic understanding of advanced math textbooks
Visual-based Q&A from textbook pages

How to Use

You can use the dataset via Hugging Face’s datasets library:

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Real-Complex-Analysis-Math")

Each sample looks like:

{
  "image": <PIL.Image>
}

Citation

If you use this dataset in your research or development, please credit the original textbook author:

Walter Rudin, Real and Complex Analysis and Principles of Mathematical Analysis

Datasets:

prithivMLmods
/

Real-Complex-Analysis-Math