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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 77.5,
"origin_prompt": "Assess the grammatical structure of the given sentence and classify it as 'Acceptable' or 'Unacceptable':",
"atk_acc": 6.5,
"atk_prompt": "As sess the garmmatical structure of the conferred sentence and classify it as 'Acceptable' or 'Unacceptable':",
"transfer_ori_acc": 50.5,
"transfer_atk_acc": 49.5
},
{
"dataset": "cola",
"type": "role",
"origin_acc": 79.5,
"origin_prompt": "While performing grammar analysis, classify the grammar of the following sentence as 'acceptable' for correct grammar or 'unacceptable' for incorrect grammar:",
"atk_acc": 9.5,
"atk_prompt": "While prforming grammar analyzing, classify the grammar of the follows sentеnce as 'acceptable' for correcting gammar or 'unacceptable' for incorrect ɡrammar:",
"transfer_ori_acc": 27.0,
"transfer_atk_acc": 32.2
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 75.0,
"origin_prompt": "Evaluate whether the two provided sentences convey the same meaning by answering 'equivalent' or 'not_equivalent'.",
"atk_acc": 67.5,
"atk_prompt": "Evaluate wհether the both provided sentences convey the same meaninɡ by answeriոg 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 48.77450980392157,
"transfer_atk_acc": 26.47058823529412
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 75.0,
"origin_prompt": "In your capacity as a semantic assessment tool, evaluate the provided sentences and classify their meanings as 'equivalent' or 'not_equivalent'.",
"atk_acc": 9.0,
"atk_prompt": "In your capacities as a semɑntic assessment tool, evaluate the provdied penalties and classify their meaning as 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 48.03921568627451,
"transfer_atk_acc": 35.53921568627451
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 77.0,
"origin_prompt": "Consider the context and question, and indicate if the answer can be logically deduced from the context by responding with 'entailment' or 'not_entailment'.",
"atk_acc": 57.0,
"atk_prompt": "Considеr the context and question, and idicate if the respond can be logically ԁeduced from the context by ⲅesponding with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 32.9,
"transfer_atk_acc": 5.800000000000001
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 78.5,
"origin_prompt": "As a textual inference expert, analyze if the answer to the question can be deduced from the provided context and select 'entailment' or 'not_entailment'.",
"atk_acc": 20.0,
"atk_prompt": "Because a textual inference expert, analysing if the answeⲅ to the question can be deduced from the providеd contex𝚝 and choosing 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 32.5,
"transfer_atk_acc": 2.9000000000000004
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 81.5,
"origin_prompt": "Assess whether the following statements are identical in meaning by answering 'equivalent' or 'not_equivalent'.",
"atk_acc": 44.5,
"atk_prompt": "Assess whether the following statements are analogous in maning by answeⲅing 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 30.2,
"transfer_atk_acc": 13.200000000000001
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 83.0,
"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": 77.5,
"atk_prompt": "As an instrument for problem comparison evɑluation, consider the ques𝚝ions and determine if their meaning is the same, respond with 'equivalent' for similar questiоns or 'not_equivalent' for different questions. ",
"transfer_ori_acc": 26.200000000000003,
"transfer_atk_acc": 7.3
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 83.0,
"origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
"atk_acc": 78.5,
"atk_prompt": "Be the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word. ",
"transfer_ori_acc": 27.075812274368232,
"transfer_atk_acc": 3.9711191335740073
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 81.0,
"origin_prompt": "Working as an entailment classifier, identify whether the given pair of sentences displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment':",
"atk_acc": 74.5,
"atk_prompt": "Working as an entailment classifier, detecting if the given torque of sentences displays entailment or not_entailment. Answering with 'entailment' or 'not_entailment':",
"transfer_ori_acc": 49.81949458483754,
"transfer_atk_acc": 25.63176895306859
},
{
"dataset": "sst2",
"type": "task",
"origin_acc": 90.0,
"origin_prompt": "Review this statement and decide whether it has a 'positive' or 'negative' sentiment:",
"atk_acc": 82.5,
"atk_prompt": "Review this speeches and decide if it has a 'positive' or 'negative' sentiment: ",
"transfer_ori_acc": 42.54587155963303,
"transfer_atk_acc": 27.75229357798165
},
{
"dataset": "sst2",
"type": "role",
"origin_acc": 93.5,
"origin_prompt": "Acting as a sentiment evaluator, identify if the given sentence is 'positive' or 'negative'. Classify:",
"atk_acc": 86.0,
"atk_prompt": "Atcing as a sentiemnt evalua𝚝or, detecting if the given sentence is 'positive' or 'negative'. Classify: ",
"transfer_ori_acc": 21.90366972477064,
"transfer_atk_acc": 26.949541284403672
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 67.61,
"origin_prompt": "Examine the pair of sentences and determine if they exhibit entailment or not_entailment. Answer with either 'entailment' or 'not_entailment'.",
"atk_acc": 52.11,
"atk_prompt": "Examine the paiⲅ of sentences and determines if they exhibit entailment or not_entailment. Answer with neither 'entailment' or 'not_entailment'.",
"transfer_ori_acc": 33.80281690140845,
"transfer_atk_acc": 0.0
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 60.56,
"origin_prompt": "Working as an entailment classifier, identify whether the given pair of sentences displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment':",
"atk_acc": 52.11,
"atk_prompt": "Working as an entailment classifier, detects whether the given pair of sentences displays entailment or not_entailment. Answering with 'entailment' or 'not_entailment':",
"transfer_ori_acc": 43.66197183098591,
"transfer_atk_acc": 35.2112676056338
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 62.5,
"origin_prompt": "Regarding the following multiple-choice question on {}, pick the correct answer from the options 'A', 'B', 'C', or 'D'.",
"atk_acc": 51.0,
"atk_prompt": "Regarding the hereafter multiple-choice question on {}, piϲk the corrects answers from the options 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 18.439716312056735,
"transfer_atk_acc": 26.95035460992908
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 62.5,
"origin_prompt": "With your knowledge of {}, tackle the following multiple-choice question by choosing 'A', 'B', 'C', or 'D'.",
"atk_acc": 57.5,
"atk_prompt": "Witհ your knowledge of {}, confront the following multipⅼe-choice question by select 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 22.872340425531913,
"transfer_atk_acc": 27.482269503546096
}
] |