Omkar2118/datasets huggingface dataset:
QUITE
Full name: Quantifying Uncertainty in natural language Text

QUITE (Quantifying Uncertainty in natural language Text) is an entirely new benchmark that allows for assessing the capabilities of neural language model-based systems w.r.t. to Bayesian reasoning on a large set of input text that describes probabilistic relationships in natural language text.

Introducing paper: QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios