| --- |
| license: cc-by-4.0 |
| pretty_name: 'Chinese Documents Dataset (PDF)' |
| language: |
| - zh |
| tags: |
| - pdf |
| - chinese |
| - document-understanding |
| - text-recognition |
| - ocr |
| - ai-research |
| - computer-vision |
| - text-extraction |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Chinese Documents Dataset (PDF) |
| *This dataset consists of a curated collection of Chinese-language documents in PDF format. It includes textbooks, research papers, articles, public-domain books, and official documents written in Simplified and Traditional Chinese. 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 Chinese |
|
|
| - **Supported Tasks**: |
| - Extraction of Chinese text from PDF documents |
| - Classification by topic (academic, legal, educational, literary) |
| - OCR for Simplified and Traditional Chinese scripts |
| - Benchmarking AI models for Chinese-language document parsing |
|
|
| ## Languages |
|
|
| - **Primary Language**: Chinese (Simplified and Traditional) |
| - **Secondary Presence**: English, numbers, and technical symbols (common in bilingual or academic PDFs) |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
| The dataset was curated to accelerate the development of AI models that can process, recognize, and understand Chinese-language PDFs with complex layouts and mixed scripts. |
|
|
| ### Source Data |
| - **Contributors**: Open-access Chinese digital libraries, educational institutions, and volunteer data contributors. |
| - **Collection Process**: All PDFs were collected from legally available, open-licensed repositories and public-domain sources. |
|
|
| ### Other Known Limitations |
| - **Bias**: Overrepresentation of educational and academic documents; fewer informal or handwritten materials |
| - **Format Variation**: Some PDFs contain scanned pages with varying print clarity |
| - **Script Variation**: Includes both Simplified (Mainland China) and Traditional (Taiwan, Hong Kong) content |
|
|
| ## Intended Uses |
|
|
| ### ✅ Direct Use |
| - Training OCR models for Simplified and Traditional Chinese |
| - Research on multilingual document understanding |
| - Digitization of Chinese educational and archival materials |
|
|
| ### ❌ Out-of-Scope Use |
| - Identifying individuals from document data |
| - Commercial reuse of copyrighted materials |
| - Use in surveillance or profiling applications |
|
|
| ## License |
|
|
| CC BY 4.0 |
|
|
