Dataset · Hugging Face

AI-4-Everyone/Visual-TableQA

Name: Visual-TableQA
Creator: AI-4-Everyone
License: mit
Keywords: task_categories:table-question-answering, task_categories:image-text-to-text, language:en, license:mit, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2509.07966, region:us, table-qa

🧠 Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images Welcome to Visual-TableQA, a project designed to generate high-quality synthetic question-answer datasets associated to images of tables. This resource is ideal for training and evaluating models on visually-grounded table understanding tasks such as document QA, table parsing, and multimodal reasoning. 🚀 Latest Update We have refreshed the dataset with newly generated QA pairs created by… See the full description on the dataset page: https://huggingface.co/datasets/AI-4-Everyone/Visual-TableQA.

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Author / organization	AI-4-Everyone
License (as declared)	mit
Downloads	505 (as reported by Hugging Face)
Likes	13
Created	15 July 2025
Last updated at source	30 September 2025

table-qaopen-domain

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