A collection of large datasets containing questions and their answers for use in Natural Language Processing tasks like question answering (QA).

Abstract: The NewsQA dataset is a crowd-sourced machine reading comprehension dataset of 120,000 question-answer pairs. NewsQA is collected using a 3-stage, ...

Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question ...

Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles.

Wiki Question Answering corpus from Microsoft. The WikiQA corpus is a publicly available set of question and sentence pairs, collected and annotated for ...

This dataset has everything you need to try your own hand at this task. Can you correctly generate the answer to questions given the Wikipedia article text?

The Open Table-and-Text Question Answering (OTT-QA) dataset contains open questions which require retrieving tables and text from the web to answer.

27 июл. 2021 г. · This study is the largest survey of the field to date. We provide an overview of the various formats and domains of the current resources.

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 ...

This comprehensive dataset contains a wide range of theoretical questions related to computer science, covering various domains such as operating systems, ...