Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+pretty_name: 'French Documents Dataset (PDF)'
+language:
+- fr
+tags:
+- pdf
+- french
+- document-understanding
+- text-recognition
+- ocr
+- ai-research
+- computer-vision
+- text-extraction
+task_categories:
+- document-classification
+- text-recognition
+size_categories:
+- 1K<n<10K
+---
+
+# French Documents Dataset (PDF)
+*This dataset contains a curated collection of French-language documents in PDF format. It includes educational materials, books, news articles, government publications, and public-domain literature written in French. The dataset supports AI research in OCR, document understanding, and multilingual text extraction.*
+
+## 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 French  
+
+- **Supported Tasks**:  
+  - Automatic extraction of French text from PDFs  
+  - Classification of documents by topic (literary, educational, official, news)  
+  - OCR for printed French text with diacritics and typographic variation  
+  - Benchmarking AI models for multilingual and French-language document understanding  
+
+## Languages
+
+- **Primary Language**: French  
+- **Secondary Presence**: English and other European languages (common in academic or bilingual contexts)  
+
+## Dataset Creation
+
+### Curation Rationale
+The dataset was curated to improve AI systems' ability to process and understand French-language documents with varied fonts, layouts, and linguistic structures. It is intended for research in multilingual OCR and document intelligence.
+
+### Source Data
+- **Contributors**: Open-access French repositories, public libraries, and volunteer data curators.  
+- **Collection Process**: All documents were sourced from legally accessible, open-licensed PDF archives and public-domain resources.  
+
+### Other Known Limitations
+- **Bias**: Primarily formal and academic content; limited representation of informal or regional French  
+- **Format Variation**: Some PDFs may include embedded scanned pages or mixed formats  
+- **Geographical Bias**: Mostly European French; limited coverage of African and Canadian French variants  
+
+## Intended Uses
+
+### ✅ Direct Use
+- Training and evaluation of OCR systems for French text  
+- Research in document classification and layout analysis  
+- Digitization of French-language archives and educational material  
+
+### ❌ Out-of-Scope Use
+- Identification of individuals or private data from PDFs  
+- Commercial use of copyrighted works without permission  
+- Use in profiling, surveillance, or handwriting analysis  
+
+## License
+
+CC BY 4.0