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