TAT-QA (Tabular And Textual dataset for Question Answering) is a large-scale QA dataset, aiming to stimulate progress of QA research over more complex and realistic tabular and textual data, especially those requiring numerical reasoning.
The unique features of TAT-QA include:
The context given is hybrid, comprising a semi-structured table and at least two relevant paragraphs that describe, analyze or… See the full description on the dataset page:
https://huggingface.co/datasets/next-tat/TAT-QA.
