Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+pretty_name: 'Russian Documents Dataset (PDF)'
+language:
+- ru
+tags:
+- pdf
+- russian
+- document-understanding
+- text-recognition
+- ocr
+- ai-research
+- computer-vision
+- text-extraction
+task_categories:
+- document-classification
+- text-recognition
+size_categories:
+- 1K<n<10K
+---
+
+# Russian Documents Dataset (PDF)
+*This dataset contains a curated collection of Russian-language documents in PDF format. The corpus includes books, academic papers, government publications, articles, and educational materials written in Russian. It is designed to support AI research in OCR, document understanding, and multilingual text recognition.*
+
+## Contact
+For queries or collaborations related to this dataset, contact:  
+  - anoushka@kgen.io  
+  - abhishek.vadapalli@kgen.io  
+
+## Supported Tasks
+
+- **Task Categories**:  
+  - Document Classification  
+  - OCR and Text Recognition  
+  - Layout and Structure Analysis  
+  - Language Modeling for Russian  
+
+- **Supported Tasks**:  
+  - Extraction of printed Russian text from PDF files  
+  - Classification of documents by category (academic, legal, educational, literary)  
+  - OCR for Cyrillic script with varying fonts and structures  
+  - Benchmarking of AI models for Russian-language document processing  
+
+## Languages
+
+- **Primary Language**: Russian  
+- **Secondary Presence**: English and other Slavic languages (common in bilingual or regional publications)  
+
+## Dataset Creation
+
+### Curation Rationale
+This dataset was curated to support research on AI systems that process Russian-language documents, handle Cyrillic text layouts, and improve OCR and multilingual document understanding performance.
+
+### Source Data
+- **Contributors**: Open-access Russian digital libraries, academic repositories, and public-domain archives.  
+- **Collection Process**: All PDFs were collected from open-license and publicly available repositories ensuring legal and ethical reuse.  
+
+### Other Known Limitations
+- **Bias**: Overrepresentation of formal and academic materials; fewer informal or regional texts  
+- **Format Variation**: Some PDFs contain scanned pages or multi-column layouts  
+- **Language Scope**: Focused on Standard Russian; limited inclusion of minority languages or dialects  
+
+## Intended Uses
+
+### ✅ Direct Use
+- Training OCR and NLP models for Russian document understanding  
+- Research in Cyrillic-based text recognition and multilingual AI  
+- Digitization of Russian-language archives, literature, and educational resources  
+
+### ❌ Out-of-Scope Use
+- Extraction of private or identifiable information from PDFs  
+- Commercial redistribution of copyrighted materials  
+- Use in profiling, surveillance, or handwriting recognition applications  
+
+## License
+
+CC BY 4.0