ELI5 is a dataset for long-form question answering. It contains 270K complex, diverse questions that require explanatory multi-sentence answers.

ELI5 is a dataset for long-form question answering. It contains 270K complex, diverse questions that require explanatory multi-sentence answers.

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

ELI5 is a dataset for long-form question answering. It contains 270K complex, diverse questions that require explanatory multi-sentence answers. Axtarish search ...

Abstract: XQA is a data which consists of a total amount of 90k question-answer pairs in nine languages for cross-lingual open-domain question answering.

We introduce NLQuAD, the first data set with baseline methods for non-factoid long question answering, a task requiring document-level language understanding.

Can you use NLP to answer these questions?

26 мар. 2024 г. · A large-scale temporal QA dataset with 487K question-answer pairs created based on the historical newspaper collection Chronicling America.

Our dataset comprises Multiple-Choice Questions across 86 diverse question templates, such as Emotional Transition, Object's Description, etc., ...

14 мая 2024 г. · We present a novel dataset and benchmark, CinePile, specifically designed for authentic long-form video understanding.