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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ pretty_name: 'Japanese Documents Dataset (PDF)'
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+ language:
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+ - ja
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+ tags:
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+ - pdf
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+ - japanese
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+ - document-understanding
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+ - text-recognition
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+ - ocr
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+ - ai-research
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+ - computer-vision
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+ - text-extraction
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+ task_categories:
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+ - document-classification
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+ - text-recognition
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # Japanese Documents Dataset (PDF)
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+ *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.*
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+
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+ ## Contact
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+ For queries or collaborations related to this dataset, contact:
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+ - anoushka@kgen.io
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+ - abhishek.vadapalli@kgen.io
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+
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+ ## Supported Tasks
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+
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+ - **Task Categories**:
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+ - Document Classification
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+ - OCR and Text Recognition
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+ - Layout and Structure Analysis
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+ - Language Modeling for Japanese
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+
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+ - **Supported Tasks**:
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+ - Extraction of Japanese text from PDFs
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+ - OCR for Kanji, Hiragana, and Katakana scripts
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+ - Classification of documents by type (academic, literary, official, educational)
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+ - Benchmarking AI systems for Japanese document parsing and layout understanding
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+
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+ ## Languages
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+
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+ - **Primary Language**: Japanese
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+ - **Secondary Presence**: English numerals, Romanized Japanese, and technical symbols (common in bilingual or academic PDFs)
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+ 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.
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+
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+ ### Source Data
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+ - **Contributors**: Open-access Japanese libraries, educational institutions, and public-domain repositories.
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+ - **Collection Process**: PDFs were collected from publicly available sources with clear open licenses permitting use for research and AI model training.
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+
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+ ### Other Known Limitations
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+ - **Bias**: Primarily educational and official documents; limited representation of informal or handwritten material
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+ - **Layout Complexity**: Some documents contain vertical text or mixed Japanese-English layouts that may challenge OCR accuracy
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+ - **Script Variation**: Coverage includes modern Japanese; limited inclusion of historical or classical scripts
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+
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+ ## Intended Uses
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+
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+ ### ✅ Direct Use
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+ - Training OCR systems for Japanese text recognition
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+ - Research in document layout understanding and vertical text OCR
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+ - Digitization and analysis of Japanese-language academic or archival materials
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+
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+ ### ❌ Out-of-Scope Use
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+ - Identifying or profiling individuals from document content
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+ - Commercial redistribution of copyrighted PDFs
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+ - Use in surveillance, handwriting identification, or behavioral analysis
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+
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+ ## License
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+
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+ CC BY 4.0