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. Author manuscript; available in PMC: 2023 Sep 11.
Published in final edited form as: Proc Conf Assoc Comput Linguist Meet. 2023 Jul;2023:12532–12555. doi: 10.18653/v1/2023.findings-acl.794

Table 5:

A summary of dataset statistics. All datasets are in English. For Art and E-CARE, we show the stats of our adapted versions. Since E-CARE has a hidden test set, we randomly split the original training set into a training and a validation set, and we use the original validation set as our test set. Note that each example in E-CARE asks for either the cause or the effect of the premise.

Dataset Train Val Test
Likely Less Likely Less Likely Less Likely
MRIInterpret 10097 1005 121
Art 50509 50509 1781 3562
E-CARE cause effect cause effect cause effect cause effect
6855 6580 6855 6580 762 731 1088 1044