Dataset · Hugging Face

D2I-CUHK-Shenzhen/FormStruct-Bench

Name: FormStruct-Bench
Creator: D2I-CUHK-Shenzhen
License: other
Keywords: task_categories:image-to-text, task_categories:document-question-answering, task_categories:object-detection, language:ar, language:de, language:en, language:es, language:ja, language:pt, language:zh, license:other, size_categories:1K<n<10K, format:json, modality:image, modality:text

FormStruct-Bench Dataset Description FormStruct-Bench is a multilingual benchmark for extracting the semantic and spatial structure of forms from document images. The repository combines a 7,000-page main benchmark, a controlled visual-degradation set, and template-level layout annotations. It supports evaluation of vision-language models and document AI systems on hierarchical key-value extraction, document structure recovery, region localization, table and… See the full description on the dataset page: https://huggingface.co/datasets/D2I-CUHK-Shenzhen/FormStruct-Bench.

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Author / organization	D2I-CUHK-Shenzhen
License (as declared)	other
Downloads	13.6K (as reported by Hugging Face)
Likes	1
Created	30 June 2026
Last updated at source	5 October 2026

document-aiform-understandingkey-information-extractionlayout-analysismultilingualstructured-prediction

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