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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 78.1,
"origin_prompt": "Assess the following sentence and determine if it is grammatically correct. Respond with 'Acceptable' or 'Unacceptable'.",
"atk_acc": 69.9,
"atk_prompt": "Assess the following conversation and pick if it is grammatical: correct. interact with 'Acceptable' or 'Unacceptable'. ",
"transfer_ori_acc": 0.8999999999999999,
"transfer_atk_acc": 28.799999999999997
},
{
"dataset": "cola",
"type": "role",
"origin_acc": 75.8,
"origin_prompt": "As an instrument for grammar evaluation, consider the sentence and determine if its grammar is correct, responding with 'acceptable' for correct grammar or 'unacceptable' for incorrect grammar.",
"atk_acc": 69.2,
"atk_prompt": "As an item for grammar acquisition, determine the conversation and determine if its grammar is okay, responding with 'acceptable' for normal grammar or 'unacceptable' for using spelling. ",
"transfer_ori_acc": 15.299999999999999,
"transfer_atk_acc": 19.5
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 82.6,
"origin_prompt": "Can the given sentences be considered semantically identical? Please reply with 'equivalent' or 'not_equivalent'.",
"atk_acc": 73.28,
"atk_prompt": "can the given words be considered semantically adjacent? Please respond with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 65.44117647058823,
"transfer_atk_acc": 70.34313725490196
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 81.37,
"origin_prompt": "As a semantic comparison expert, evaluate the given pair of sentences and determine if they are 'equivalent' or 'not_equivalent'.",
"atk_acc": 68.87,
"atk_prompt": "As a grammatical compares professionals, find the given language of sentence and determine if they are 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 67.8921568627451,
"transfer_atk_acc": 68.13725490196079
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 89.3,
"origin_prompt": "Based on the provided context and question, decide if the information supports the answer by responding with 'entailment' or 'not_entailment'.",
"atk_acc": 45.5,
"atk_prompt": "from on the supplied context and questions, save if the information supports the answer by simply with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 32.4,
"transfer_atk_acc": 24.7
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 88.5,
"origin_prompt": "In your role as a semantic evaluator, determine if the provided context justifies the answer to the question and answer with 'entailment' or 'not_entailment'.",
"atk_acc": 40.6,
"atk_prompt": "when your role as a semantic evaluator, be if the reference subject justmatches the answer to the answer and also with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 24.6,
"transfer_atk_acc": 10.5
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 88.1,
"origin_prompt": "Are the following two questions equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\".",
"atk_acc": 82.5,
"atk_prompt": "Are the so a equations equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\". ",
"transfer_ori_acc": 34.8,
"transfer_atk_acc": 36.6
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 86.5,
"origin_prompt": "As an instrument for question comparison evaluation, consider the questions and determine if their meaning is the same, responding with 'equivalent' for similar questions or 'not_equivalent' for different questions.",
"atk_acc": 63.9,
"atk_prompt": "to an instrument for question ranking evaluation, consider the words and pick if their mood is the same, returning with 'equivalent' for analogous question or 'not_equivalent' for known questions. ",
"transfer_ori_acc": 35.3,
"transfer_atk_acc": 29.9
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 85.2,
"origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
"atk_acc": 80.87,
"atk_prompt": "can the is compare sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word. ",
"transfer_ori_acc": 49.81949458483754,
"transfer_atk_acc": 51.26353790613718
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 84.12,
"origin_prompt": "Acting as an entailment detection instrument, determine if the given pair of sentences demonstrates entailment or not_entailment. Answer with 'entailment' or 'not_entailment'.",
"atk_acc": 78.7,
"atk_prompt": "Acting as an entailment detection instrument, be if the given language of sentences does entailment or not_entailment. start with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 4.332129963898916,
"transfer_atk_acc": 40.43321299638989
},
{
"dataset": "sst2",
"type": "task",
"origin_acc": 95.3,
"origin_prompt": "Considering the given phrase, would you say it carries a 'positive' or 'negative' connotation?",
"atk_acc": 91.51,
"atk_prompt": "given the verbal conjunction, who you say it implies a 'positive' or 'negative' connotation? ",
"transfer_ori_acc": 1.7201834862385321,
"transfer_atk_acc": 14.3348623853211
},
{
"dataset": "sst2",
"type": "role",
"origin_acc": 95.41,
"origin_prompt": "Acting as a sentiment evaluator, identify if the given sentence is 'positive' or 'negative'.",
"atk_acc": 92.43,
"atk_prompt": "Acting as a positive evaluator, choose if the positive sentence is 'positive' or 'negative'. ",
"transfer_ori_acc": 10.77981651376147,
"transfer_atk_acc": 1.94954128440367
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 64.79,
"origin_prompt": "Assess the connection between the following sentences and classify it as 'entailment' or 'not_entailment'.",
"atk_acc": 54.93,
"atk_prompt": "Assess the connecting between the relevant sentences and classify it as 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 19.718309859154928,
"transfer_atk_acc": 14.084507042253522
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 66.2,
"origin_prompt": "Functioning as an entailment evaluation tool, analyze the provided sentences and decide if their relationship is 'entailment' or 'not_entailment'.",
"atk_acc": 49.3,
"atk_prompt": "Functioning as an entailment evaluation tool, analyze the generated sentences and place if their conversation is 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 9.859154929577464,
"transfer_atk_acc": 29.577464788732392
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 46.45,
"origin_prompt": "For each multiple-choice question about {}, identify the correct answer by selecting 'A', 'B', 'C', or 'D'.",
"atk_acc": 16.84,
"atk_prompt": "For each multiple-. question about {}, reveal the incorrect ask by selecting 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 6.560283687943262,
"transfer_atk_acc": 6.382978723404255
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 46.99,
"origin_prompt": "Considering your familiarity with {}, attend to the following multiple-choice question by picking 'A', 'B', 'C', or 'D'.",
"atk_acc": 43.44,
"atk_prompt": "Considering your familiarity with {}, attend to the following multiple-of question by options 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 8.156028368794328,
"transfer_atk_acc": 7.2695035460992905
}
] |