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