| --- |
| license: cc-by-4.0 |
| pretty_name: 'Japanese Documents Dataset (PDF)' |
| language: |
| - ja |
| tags: |
| - pdf |
| - japanese |
| - document-understanding |
| - text-recognition |
| - ocr |
| - ai-research |
| - computer-vision |
| - text-extraction |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Japanese Documents Dataset (PDF) |
| *This dataset contains a curated collection of Japanese-language documents in PDF format. The corpus includes textbooks, research papers, news articles, public-domain books, and government publications written in Japanese. It is intended to support AI research in OCR, document understanding, and multilingual text recognition.* |
|
|
| ## 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 Japanese |
|
|
| - **Supported Tasks**: |
| - Extraction of Japanese text from PDFs |
| - OCR for Kanji, Hiragana, and Katakana scripts |
| - Classification of documents by type (academic, literary, official, educational) |
| - Benchmarking AI systems for Japanese document parsing and layout understanding |
|
|
| ## Languages |
|
|
| - **Primary Language**: Japanese |
| - **Secondary Presence**: English numerals, Romanized Japanese, and technical symbols (common in bilingual or academic PDFs) |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
| The dataset was curated to improve AI systems’ ability to read and understand Japanese-language documents, including vertically written text and mixed-script layouts, enabling more accurate OCR and multilingual NLP research. |
|
|
| ### Source Data |
| - **Contributors**: Open-access Japanese libraries, educational institutions, and public-domain repositories. |
| - **Collection Process**: PDFs were collected from publicly available sources with clear open licenses permitting use for research and AI model training. |
|
|
| ### Other Known Limitations |
| - **Bias**: Primarily educational and official documents; limited representation of informal or handwritten material |
| - **Layout Complexity**: Some documents contain vertical text or mixed Japanese-English layouts that may challenge OCR accuracy |
| - **Script Variation**: Coverage includes modern Japanese; limited inclusion of historical or classical scripts |
|
|
| ## Intended Uses |
|
|
| ### ✅ Direct Use |
| - Training OCR systems for Japanese text recognition |
| - Research in document layout understanding and vertical text OCR |
| - Digitization and analysis of Japanese-language academic or archival materials |
|
|
| ### ❌ Out-of-Scope Use |
| - Identifying or profiling individuals from document content |
| - Commercial redistribution of copyrighted PDFs |
| - Use in surveillance, handwriting identification, or behavioral analysis |
|
|
| ## License |
|
|
| CC BY 4.0 |
|
|
