Sign inGet started
Dataset · Hugging Face

chhhhhgrghdu/OmniDocBench

OmniDocBench English | 简体中文 OmniDocBench is an evaluation dataset for diverse document parsing in real-world scenarios, with the following characteristics: Diverse Document Types: The evaluation set contains 1355 PDF pages, covering 9 document types, 4 layout types and 3 language types. It has broad coverage including academic papers, financial reports, newspapers, textbooks, handwritten notes, etc. Rich Annotations: Contains location information for 15 block-level (text… See the full description on the dataset page: https://huggingface.co/datasets/chhhhhgrghdu/OmniDocBench.

Author / organizationchhhhhgrghdu
Downloads131 (as reported by Hugging Face)
Likes0
Created2 April 2026
Last updated at source2 April 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/a04dfb91-ba49-4e92-8886-9f236b837ebd" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

131 now. Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: OmniDocBench English | 简体中文 OmniDocBench is an evaluation dataset for diverse document parsing in real-world scenarios, with the following characteristics: Diverse Document Types: The evaluation set contains 1355 PDF pages, covering 9 docum → OmniDocBench English | 简体中文 OmniDocBench is an evaluation dataset for diverse document parsing in real-world scenarios, with the following characteristics: Diverse Document Types: The evaluation set contains 1355 PDF pages, covering 9 docum

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.