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license: cc0-1.0
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# AncientDoc: A Benchmark for Chinese Ancient Document Understanding
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AncientDoc
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1. **Page-level OCR
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2. **Vernacular Translation
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3. **Reasoning-based QA
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4. **Knowledge-based QA
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5. **Linguistic Variant QA
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license: cc0-1.0
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# AncientDoc: A Benchmark for Chinese Ancient Document Understanding
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AncientDoc is the first comprehensive benchmark dataset specifically designed for **Chinese Ancient Document Understanding**. It covers multi-task evaluation ranging from **OCR** to **knowledge reasoning**, aiming to promote research on the recognition, understanding, and reasoning capabilities of multimodal large models in the scenario of ancient documents.
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## Dataset Overview
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- **Data Scale**: 2,973 pages
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- **Number of Literatures**: Approximately 100 books
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- **Types of Literatures**: 14 categories (e.g., collected works, Chu Ci-style poems, poetry and prose criticism, encyclopedic books, catalogs, etc.)
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- **Time Span**: Spanning from the Warring States period to the Qing Dynasty, covering multiple important historical periods
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- **Task Types**:
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1. **Page-level OCR**: Full-page text recognition (including complex scenarios such as vertical typesetting, variant characters, and annotations)
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2. **Vernacular Translation**: Intralingual translation from classical Chinese to modern Chinese
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3. **Reasoning-based QA**: Implicit reasoning QA based on the meaning of the text
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4. **Knowledge-based QA**: QA based on textual facts and background knowledge
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5. **Linguistic Variant QA**: QA related to literary genres, rhetoric, and linguistic styles
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## Data Distribution
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### Distribution by Dynasty
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- Ming Dynasty: 1,148 pages
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- Qing Dynasty: 778 pages
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- Song Dynasty: 540 pages
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- Tang Dynasty: 208 pages
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- Han Dynasty: 110 pages
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- Yuan Dynasty: 69 pages
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- Southern and Northern Dynasties: 54 pages
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- Jin Dynasty: 42 pages
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- Warring States period: 24 pages
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### Distribution by Category (Top 3 by Page Count)
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1. Astronomy and Mathematics (238 pages)
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2. Confucianism (232 pages)
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3. Art (234 pages)
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### Distribution by Script Style
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- Regular script: Approximately 97%
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- Cursive script: Approximately 3%
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## Data Format
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Data is provided in the form of **images + CSV annotations**:
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