1010glue___rte = Classification (sentence1 = "sentence1" , sentence2 = "sentence2" , labels = "label" )
1111glue___wnli = Classification (sentence1 = "sentence1" , sentence2 = "sentence2" , labels = "label" )
1212#glue___ax = Classification(sentence1="premise", sentence2="hypothesis", labels="label", splits=["test", None, None]) # fully masked
13+
1314glue___mrpc = Classification (sentence1 = "sentence1" , sentence2 = "sentence2" , labels = "label" )
1415glue___qqp = Classification (sentence1 = "question1" , sentence2 = "question2" , labels = "label" )
1516glue___stsb = Classification (sentence1 = "sentence1" , sentence2 = "sentence2" , labels = "label" )
@@ -806,7 +807,6 @@ def _preprocess_chatgpt_detection(ex):
806807 labels = lambda x : "ABCD" .index (x ['answers' ]),
807808 dataset_name = "metaeval/mutual" ,splits = ["train" ,None ,None ])
808809
809-
810810neqa = MultipleChoice ('prompt' ,choices_list = 'classes' ,labels = "answer_index" ,
811811 dataset_name = "inverse-scaling/NeQA" )
812812quote_repetition = MultipleChoice ('prompt' ,choices_list = 'classes' ,labels = "answer_index" ,
@@ -820,4 +820,4 @@ def _preprocess_chatgpt_detection(ex):
820820implicatures = MultipleChoice (cat (['context' ,'response' ],"\n " ),
821821 choices = ['correct_implicature' ,'incorrect_implicature' ],
822822 labels = constant (0 ),
823- dataset_name = 'metaeval/implicatures' )
823+ dataset_name = 'metaeval/implicatures' )
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