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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 77.5,
"origin_prompt": "Determine if the grammar of the given sentence is 'Acceptable' or 'Unacceptable':",
"atk_acc": 31.0,
"atk_prompt": "Establishes if the jargon of the made punishments is 'Acceptable' or 'Unacceptable':",
"transfer_ori_acc": 36.4,
"transfer_atk_acc": 15.0
},
{
"dataset": "cola",
"type": "role",
"origin_acc": 76.3,
"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": 30.8,
"atk_prompt": "Since an apparatus for language measured, envisage the convicts and identify if its language is correct, reaction with 'acceptable' for accurate jargon or 'unacceptable' for unsound pronunciation:",
"transfer_ori_acc": 36.199999999999996,
"transfer_atk_acc": 19.8
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 82.11,
"origin_prompt": "Do these two sentences have the same underlying meaning? Respond with 'equivalent' or 'not_equivalent'.",
"atk_acc": 53.68,
"atk_prompt": "Ca these two condemning ont the same main meaning? Reactions with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 54.90196078431373,
"transfer_atk_acc": 32.59803921568628
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 81.62,
"origin_prompt": "As a language comparison expert, examine the given pair of sentences and decide if their meanings align, answering with 'equivalent' or 'not_equivalent'.",
"atk_acc": 12.01,
"atk_prompt": "As a language compared professional, reviews the given torque of sentences and picked if their sens unify, address with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 63.23529411764706,
"transfer_atk_acc": 6.61764705882353
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 89.8,
"origin_prompt": "Evaluate whether the given context supports the answer to the question by responding with 'entailment' or 'not_entailment'.",
"atk_acc": 41.4,
"atk_prompt": "Estimation whether the gave backgrounds perpetuates the answered to the trouble by responses with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 26.5,
"transfer_atk_acc": 4.3999999999999995
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 89.4,
"origin_prompt": "As a semantic interpreter, assess whether the provided context supports the answer to the given question and answer with 'entailment' or 'not_entailment'.",
"atk_acc": 3.3,
"atk_prompt": "Iike a semantic performers, valuing whether the afforded ambient perpetuates the answer to the rendered item and cope with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 8.7,
"transfer_atk_acc": 4.1000000000000005
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 87.7,
"origin_prompt": "Assess whether the following statements are identical in meaning by answering 'equivalent' or 'not_equivalent'.",
"atk_acc": 18.9,
"atk_prompt": "Valuing whether the later languages are comparable in sinn by cope 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 30.2,
"transfer_atk_acc": 0.8
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 86.9,
"origin_prompt": "In the role of a question similarity analyzer, examine the meaning of the provided questions and decide if they are equivalent, answering with 'equivalent' for equivalent questions or 'not_equivalent' for different questions.",
"atk_acc": 73.8,
"atk_prompt": "About the rol of a question likeness analyzer, examine the mean of the conferred topic and identifying if they are equivalent, retaliated with 'equivalent' for equivalent trouble or 'not_equivalent' for other topics. ",
"transfer_ori_acc": 23.3,
"transfer_atk_acc": 14.000000000000002
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 86.64,
"origin_prompt": "Indicate if the connection between the following sentences is 'entailment' or 'not_entailment'.",
"atk_acc": 80.87,
"atk_prompt": "Portrays if the login between the following punishments is 'entailment' or 'not_entailment'.",
"transfer_ori_acc": 38.26714801444043,
"transfer_atk_acc": 3.6101083032490973
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 84.84,
"origin_prompt": "In the capacity of an entailment assessment system, indicate if the link between the following sentences is 'entailment' or 'not_entailment':",
"atk_acc": 79.06,
"atk_prompt": "About the capacity of an entailment weighed system, specified if the link between the following phrases is 'entailment' or 'not_entailment':",
"transfer_ori_acc": 43.682310469314075,
"transfer_atk_acc": 25.992779783393498
},
{
"dataset": "sst2",
"type": "task",
"origin_acc": 94.95,
"origin_prompt": "Given the context of this text, indicate if the emotion conveyed is 'positive' or 'negative':",
"atk_acc": 84.29,
"atk_prompt": "Made the background of this version, depicts if the passion recharged is 'positive' or 'negative': ",
"transfer_ori_acc": 29.472477064220183,
"transfer_atk_acc": 11.353211009174311
},
{
"dataset": "sst2",
"type": "role",
"origin_acc": 95.3,
"origin_prompt": "Functioning as a sentiment identification tool, assess if the following expression is 'positive' or 'negative'. Classify:",
"atk_acc": 25.46,
"atk_prompt": "Functions as a emotion defining instrumentation, valuing if the next voicing is 'positive' or 'negative'. Classification: ",
"transfer_ori_acc": 38.646788990825684,
"transfer_atk_acc": 24.541284403669724
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 66.2,
"origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
"atk_acc": 56.34,
"atk_prompt": "Be the following two phrases entailment or not_entailment? Responded me with \"entailment\" or \"not_entailment\", just one verb. ",
"transfer_ori_acc": 25.352112676056336,
"transfer_atk_acc": 32.3943661971831
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 64.79,
"origin_prompt": "In the capacity of an entailment assessment system, indicate if the link between the following sentences is 'entailment' or 'not_entailment':",
"atk_acc": 56.34,
"atk_prompt": "Among the capacity of an entailment analysis system, indicate if the attach between the subsequently sentences is 'entailment' or 'not_entailment':",
"transfer_ori_acc": 43.66197183098591,
"transfer_atk_acc": 42.25352112676056
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 45.74,
"origin_prompt": "For each multiple-choice question about {}, identify the correct answer by selecting 'A', 'B', 'C', or 'D'.",
"atk_acc": 37.06,
"atk_prompt": "By any multiple-choice question about {}, locate the corrected riposte by akhtar 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 22.69503546099291,
"transfer_atk_acc": 22.872340425531913
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 44.86,
"origin_prompt": "Utilizing your expertise in {}, answer the following multiple-choice question by picking 'A', 'B', 'C', or 'D'.",
"atk_acc": 40.96,
"atk_prompt": "Utilise your expertise in {}, meet the next multiple-choice question by collection 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 20.74468085106383,
"transfer_atk_acc": 25.177304964539005
}
] |