---
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