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[
{
"dataset": "cola",
"type": "translation",
"origin_acc": 65.2,
"origin_prompt": "Determine if the grammar of the given sentence is 'Acceptable' or 'Unacceptable'.",
"atk_acc": 5.3,
"atk_prompt": "Please check that the following sentences are grammatically correct and categorize them as 'acceptable' or 'unacceptable'.",
"transfer_ori_acc": 86.1,
"transfer_atk_acc": 86.6
},
{
"dataset": "mrpc",
"type": "translation",
"origin_acc": 69.36,
"origin_prompt": "Determine if the meanings of the following sentences are semantically equivalent by responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 54.9,
"atk_prompt": "As a semantic comparison specialist, analyze the two data statements and insert them into one of the following categories: 'equivalent' or 'not_equivalent'.",
"transfer_ori_acc": 84.55882352941177,
"transfer_atk_acc": 85.7843137254902
},
{
"dataset": "qnli",
"type": "translation",
"origin_acc": 42.9,
"origin_prompt": "As a linguistic consultant, decide if the answer to the question is logically supported by the provided context and respond with 'entailment' or 'not_entailment'.",
"atk_acc": 1.6,
"atk_prompt": "Grasp the relations between sentences, determine if a given sentence necessarily contains the meaning of another sentence and respond with 'entailment' or 'not_entailment'.",
"transfer_ori_acc": 93.10000000000001,
"transfer_atk_acc": 93.8
},
{
"dataset": "qqp",
"type": "translation",
"origin_acc": 41.8,
"origin_prompt": "Do the following expressions mean the same thing? Provide your answer as 'equivalent' or 'not_equivalent'.",
"atk_acc": 21.7,
"atk_prompt": "For text classification tasks, use the labels 'equivalent' or 'not_equivalent' to determine the equivalence of statements.",
"transfer_ori_acc": 88.1,
"transfer_atk_acc": 88.7
},
{
"dataset": "rte",
"type": "translation",
"origin_acc": 50.54,
"origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
"atk_acc": 3.97,
"atk_prompt": "Using implication analysis, determine whether the given sentences have a cause-effect relationship and categorize them as 'entailment' or 'not_entailment'.",
"transfer_ori_acc": 93.14079422382672,
"transfer_atk_acc": 92.7797833935018
},
{
"dataset": "sst2",
"type": "translation",
"origin_acc": 33.37,
"origin_prompt": "Taking on the role of an emotion classifier, specify if the provided phrase is 'positive' or 'negative'.",
"atk_acc": 0.46,
"atk_prompt": "Please determine whether the emotion of the sentence is 'positive' or 'negative' and categorize it.",
"transfer_ori_acc": 95.18348623853211,
"transfer_atk_acc": 94.38073394495413
},
{
"dataset": "wnli",
"type": "translation",
"origin_acc": 32.39,
"origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
"atk_acc": 0.0,
"atk_prompt": "Using implication analysis, determine whether the given sentences have a cause-effect relationship and categorize them as 'entailment' or 'not_entailment'.",
"transfer_ori_acc": 76.05633802816901,
"transfer_atk_acc": 74.64788732394366
},
{
"dataset": "mmlu",
"type": "translation",
"origin_acc": 10.39,
"origin_prompt": "Answer the following multiple-choice question about {} by selecting the correct option: 'A', 'B', 'C', or 'D'.",
"atk_acc": 4.43,
"atk_prompt": "Choose the correct answer from the options 'A', 'B', 'C', or 'D' for the following questions about {}.",
"transfer_ori_acc": 53.90070921985816,
"transfer_atk_acc": 54.07801418439716
}
] |