Monotonicity Entailment Dataset
MED is a new evaluation dataset that covers a wide range of monotonicity reasoning that was created by crowdsourcing and collected from linguistics publications. The dataset was constructed by collecting naturally-occurring examples by crowdsourcing and well-designed ones from linguistics publications. It consists of 5,382 examples.
Source: https://github.com/verypluming/MED Image Source: https://www.aclweb.org/anthology/W19-4804v2.pdf