Update README.md

README.md

@@ -10,4 +10,66 @@ tags:
 - textbooks
 size_categories:
 - n<1K
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+---
+
+# 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*