Dataset · Hugging Face

Edinburgh-Claire/pdfQA-Benchmark

Name: pdfQA-Benchmark
Creator: Edinburgh-Claire
License: mit
Keywords: task_categories:question-answering, task_categories:table-question-answering, language:en, license:mit, modality:document, modality:text, arxiv:2601.02285, region:us, research, climate, finance, evaluation, reasoning

pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs pdfQA is a structured benchmark collection for document-level question answering and PDF understanding research. The dataset is organized to support: Raw document processing research Structured extraction pipelines Retrieval-augmented QA End-to-end document reasoning systems It preserves original documents alongside structured derivatives to enable reproducible evaluation across preprocessing strategies.… See the full description on the dataset page: https://huggingface.co/datasets/Edinburgh-Claire/pdfQA-Benchmark.

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Author / organization	Edinburgh-Claire
License (as declared)	mit
Downloads	2K (as reported by Hugging Face)
Likes	0
Created	27 July 2026
Last updated at source	27 July 2026

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