Sign inGet started
Dataset · Hugging Face

2077AIDataFoundation/DrDocBench

Dr.DocBench A Comprehensive Benchmark for Expert-Level and Difficult Document Parsing Paper · GitHub · Homepage Dataset Summary Dr.DocBench is a difficulty-aware benchmark for evaluating whether vision-language models and document processing systems can parse expert-level, structurally complex documents. This release ships two splits: Split Pages Documents Subjects Ground truth dev/ 986 66 38 Included — full page- and block-level annotations (12,902 blocks)… See the full description on the dataset page: https://huggingface.co/datasets/2077AIDataFoundation/DrDocBench.

Author / organization2077AIDataFoundation
License (as declared)cc0-1.0
Downloads2.9K (as reported by Hugging Face)
Likes1
Created30 July 2026
Last updated at source10 August 2026
document-parsingocrdocument-ailayout-analysisreading-ordertable-recognitionformula-recognitionbenchmarkvlm
Embed this entry
<iframe src="https://silytics.si/embed/item/8d04390b-4d26-4e6e-8d3b-14d2c5897172" 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

2,900 now (-270 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

More from 2077AIDataFoundation

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 Information may be incomplete or out of date.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.