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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
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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
β Direct Use
- Training OCR models for Simplified and Traditional Chinese
- Research on multilingual document understanding
- Digitization of Chinese educational and archival materials
β 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
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