README.md

---
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](https://www.apache.org/licenses/LICENSE-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:

```python
from datasets import load_dataset

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

Each sample looks like:

```python
{
  "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*