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Dataset · Hugging Face

goodboyanush/synthdocqa

SynthDocQA A benchmark dataset for evaluating document understanding and question-answering systems on complex, realistic synthetic business documents. Overview SynthDocQA contains 9,798 questions grounded in 100 synthetic PDF documents spanning diverse business domains and document types. Each question is tied to a specific element in a document (table, figure, form, annotation, or text block) and comes with structured assertions defining the expected answer. The… See the full description on the dataset page: https://huggingface.co/datasets/goodboyanush/synthdocqa.

Author / organizationgoodboyanush
License (as declared)apache-2.0
Downloads464 (as reported by Hugging Face)
Likes0
Created7 May 2026
Last updated at source7 May 2026
document-understandingsyntheticpdftablesformsfiguresannotationsragbenchmark
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  • 16 Oct 2026 Description: SynthDocQA A benchmark dataset for evaluating document understanding and question-answering systems on complex, realistic synthetic business documents. Overview SynthDocQA contains 9,798 questions grounded in 100 synthetic PDF documents spa → SynthDocQA A benchmark dataset for evaluating document understanding and question-answering systems on complex, realistic synthetic business documents. Overview SynthDocQA contains 9,798 questions grounded in 100 synthetic PDF documents spa

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