| | --- |
| | 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 |
| |
|
