However, there are no obvious unifying trends across these datasets: Among the judged and recast datasets, where humans do not generate the NLI hypothesis, we observe lower performance margins between majority and hypothesis-only models compared to the elicited data sets.
the baseline performances of these models are noticeably larger than on SNLI and Multi-NLI.