Omkar2118/datasets huggingface dataset:
Quoref
Full name: Quoref

Quoref is a QA dataset which tests the coreferential reasoning capability of reading comprehension systems. In this span-selection benchmark containing 24K questions over 4.7K paragraphs from Wikipedia, a system must resolve hard coreferences before selecting the appropriate span(s) in the paragraphs for answering questions.

Source: [Allen Institute for AI](https://allenai.org/data/quoref)

Introducing paper: Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
ROPES
Full name: Reasoning Over Paragraph Effects in Situations

ROPES is a QA dataset which tests a system's ability to apply knowledge from a passage of text to a new situation. A system is presented a background passage containing a causal or qualitative relation(s), a novel situation that uses this background, and questions that require reasoning about effects of the relationships in the back-ground passage in the context of the situation.

Source: [Allen Institute for AI](https://allenai.org/data/ropes)

Introducing paper: Reasoning Over Paragraph Effects in Situations