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>
}

Tags

math, Real-Complex-Analysis, textbooks, image-to-text, OCR, higher-education, Rudin

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