Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+pretty_name: 'Italian Documents Dataset (PDF)'
+language:
+- it
+tags:
+- pdf
+- italian
+- document-understanding
+- text-recognition
+- ocr
+- ai-research
+- computer-vision
+- text-extraction
+task_categories:
+- document-classification
+- text-recognition
+size_categories:
+- 1K<n<10K
+---
+
+# Italian Documents Dataset (PDF)
+*This dataset contains a curated collection of Italian-language documents in PDF format. It includes books, academic publications, reports, government documents, and news articles written in Italian. The dataset supports AI research in OCR, multilingual document understanding, and text recognition for Romance languages.*
+
+## 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 Italian  
+
+- **Supported Tasks**:  
+  - Extraction of Italian text from PDF documents  
+  - Classification of documents by topic (academic, literary, official, media)  
+  - OCR for printed Italian text with diacritics and diverse fonts  
+  - Benchmarking AI models for Italian-language document parsing and understanding  
+
+## Languages
+
+- **Primary Language**: Italian  
+- **Secondary Presence**: English, French, and Latin terms (common in academic and legal documents)  
+
+## Dataset Creation
+
+### Curation Rationale
+This dataset was curated to support research and development of AI systems capable of processing Italian-language PDFs, enhancing OCR performance, and enabling advanced multilingual document analysis.
+
+### Source Data
+- **Contributors**: Open-access Italian libraries, public-domain archives, educational repositories, and volunteer curators.  
+- **Collection Process**: All PDFs were sourced from publicly available and open-licensed collections to ensure legal and ethical data use.  
+
+### Other Known Limitations
+- **Bias**: More representation from educational and official domains; fewer informal or dialectal sources  
+- **Format Variation**: Some PDFs contain scanned pages or mixed text-image layouts  
+- **Regional Coverage**: Focused primarily on Standard Italian; limited representation of regional dialects  
+
+## Intended Uses
+
+### ✅ Direct Use
+- Training and evaluating OCR and NLP models for Italian documents  
+- Research in multilingual and European-language document understanding  
+- Digitization of Italian-language archives and educational materials  
+
+### ❌ Out-of-Scope Use
+- Identifying or profiling individuals from document content  
+- Commercial reuse of copyrighted materials  
+- Use in surveillance, behavioral, or handwriting analysis  
+
+## License
+
+CC BY 4.0