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

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?

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

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

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

The Stanford Question Answering Dataset (SQuAD) is a collection of question-answer pairs derived from Wikipedia articles. In SQuAD, the correct answers of ...

Abstract: The dataset is the first to study multi-sentence inference at scale, with an open-ended set of question types that requires reasoning skills.

15 янв. 2021 г. · MS MARCO is a collection of data sets from Microsoft that includes a data set for Question Answering. The questions are based on real life user ...

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

7 июн. 2024 г. · We introduce ComplexTempQA, a large-scale dataset consisting of over 100 million question-answer pairs designed to tackle the challenges in temporal question ...