Dataset · Hugging Face

pubpub/pubtables-qa_v2

Name: pubtables-qa_v2
Creator: pubpub
License: cc-by-4.0
Keywords: task_categories:question-answering, task_categories:visual-question-answering, task_categories:document-question-answering, language:en, license:cc-by-4.0, size_categories:1K<n<10K, format:json, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, table

PubTables-QA v2: A Multi-Page Document Table QA Benchmark PubTables-QA is a benchmark for evaluating vision-language models on document-level table question answering over multi-page scientific papers. Questions require reading tables that span several pages, cross-referencing multiple tables, and reasoning jointly over tables and the surrounding body text. Dataset Summary Count QA pairs 1,871 Documents 296 Page images 4,552 Median pages per… See the full description on the dataset page: https://huggingface.co/datasets/pubpub/pubtables-qa_v2.

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Author / organization	pubpub
License (as declared)	cc-by-4.0
Downloads	127 (as reported by Hugging Face)
Likes	0
Created	1 August 2026
Last updated at source	26 September 2026

tabledocument-understandingmulti-pagescientific-documentsVQA

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