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---
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
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