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Ancient-Bench: A Comprehensive Multi-millennial, Multi-medium, and Multi-script Benchmark for Ancient Chinese Artifact Text Recognition
๐จ Important Notice / ๆ ธๅฟๅฃฐๆ
[EN] Strictly for Academic Research Use Only.
The images in Ancient-Bench are curated from publicly accessible archives of official museums, libraries, and cultural heritage institutions. The dataset creators claim no copyright over the source images. Any commercial exploitation is strictly prohibited. Users must comply with the copyright guidelines of the originating institutions.[ZH] ๆฌๆฐๆฎ้ไป ้้ๅไธๅญฆๆฏ็ ็ฉถไฝฟ็จใ
Ancient-Bench ๆฐๆฎ้ๆๆถๅฝๅพๅๅๆบ่ชๅๅคงๅฝๅฎถ็บงๅ็ฉ้ฆใๅพไนฆ้ฆ็ญๅ ฌๅผๅๅธ็ๆฐๅญๅๆๅ่ตๆบใไฝ่ ๅข้ไธๆฅๆไบฆไธ่ฝฌ่ฎฉไปปไฝๅๅงๅพๅ็ๆใไธฅ็ฆ็จไบไปปไฝๅไธ่ฅๅฉ่กไธบใ
๐ Dataset Summary
Ancient-Bench (Accepted by EMNLP 2026) is the first comprehensive benchmark for ancient Chinese artifact text recognition, featuring:
- Multi-millennial: Spans over 3,000 years (1200 BCE โ 1911 CE) across 3 distinct historical epochs.
- Multi-medium: Encompasses 9 artifact types (Oracle Bones, Bronzes, Bamboo/Wooden Slips, Silk Manuscripts, Seals, Steles, Cliff Inscriptions, Ancient Editions, and Calligraphy).
- Multi-script: Covers all 7 canonical historical script styles (Oracle Bone, Bronze, Seal, Clerical, Regular, Cursive, and Running script).
- Standardized Protocols: Establishes unified standards for medium-specific symbols, paleographic transcriptions (้ถๅฎ), variant characters, and hierarchical layout parsing.
๐ Dataset Statistics
The benchmark contains 2,700 meticulously annotated high-resolution images from 14 national-level cultural institutions:
| Medium Category | Number of Images | Resolution Range (px) | Chars / Image | Covered Scripts |
|---|---|---|---|---|
| Oracle (็ฒ้ชจ) | 300 | 600ร800 | 1โ68 | Oracle Bone Script |
| Bronze (้้ๅจ/้ๆ) | 250 | 41ร80 โ 1024ร1024 | 1โ77 | Bronze Script |
| Slip (็ฎ็) | 300 | 29ร224 โ 700ร6820 | 1โ107 | Seal, Clerical Script |
| Silk (ๅธไนฆ) | 300 | 46ร124 โ 1330ร2067 | 1โ784 | Seal, Clerical Script |
| Seal (ๅฐ็ซ ) | 350 | 100ร150 โ 1333ร1341 | 1โ40 | Oracle, Bronze, Seal Script |
| Steles (็ขๅธๅขๅฟ) | 300 | 85ร155 โ 5795ร16745 | 4โ816 | Seal, Clerical, Regular, Running |
| Cliff (ๆฉๅด็ณๅป) | 200 | 183ร113 โ 7300ร5760 | 2โ216 | Seal, Clerical, Regular, Running |
| Edition (ๅค็ฑๅปๆฌ) | 300 | 751ร506 โ 970ร2817 | 4โ776 | Seal, Clerical, Regular, Cursive, Running |
| Calligraphy (ไนฆๆณๆ่ฟน) | 400 | 303ร509 โ 4802ร13385 | 2โ1666 | Bronze, Seal, Clerical, Regular, Cursive, Running |
| Total | 2,700 | 41ร80 โ 5795ร16745 | 1โ1666 | All 7 Scripts |
๐ How to Download & Access
1. Direct Download via Python (Hugging Face)
You can download the dataset archive using the huggingface_hub Python library:
from huggingface_hub import hf_hub_download
zip_path = hf_hub_download(
repo_id="hiuyi/Ancient-Bench",
filename="Ancient-Bench.zip",
repo_type="dataset",
local_dir="./",
)
print(f"Dataset downloaded to: {zip_path}")
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