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.
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.
