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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 86.4,
"origin_prompt": "Examine the given sentence and decide if it is grammatically sound. Answer with either 'Acceptable' or 'Unacceptable'.",
"atk_acc": 68.1,
"atk_prompt": "Examine the given condemnation and decide if it is pronouns sound. Answer with either 'Acceptable' or 'Unacceptable'. ",
"transfer_ori_acc": 77.7,
"transfer_atk_acc": 66.0
},
{
"dataset": "cola",
"type": "role",
"origin_acc": 86.9,
"origin_prompt": "In the capacity of a grammar assessment system, indicate if the structure of the provided sentence is grammatically correct, responding with 'acceptable' or 'unacceptable'.",
"atk_acc": 85.0,
"atk_prompt": "In the ability of a grammar assessment system, denotes if the structure of the provided sentence is grammatical corrected, responding with 'acceptable' or 'unacceptable'. ",
"transfer_ori_acc": 74.6,
"transfer_atk_acc": 74.9
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 87.01,
"origin_prompt": "Can the given sentences be considered semantically identical? Please reply with 'equivalent' or 'not_equivalent'.",
"atk_acc": 83.82,
"atk_prompt": "Can the given sentences be deemed semantically idntical? Please reply with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 82.35294117647058,
"transfer_atk_acc": 80.3921568627451
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 87.5,
"origin_prompt": "In your capacity as a language analyst, assess the following sentences and classify their similarity as 'equivalent' or 'not_equivalent'.",
"atk_acc": 83.58,
"atk_prompt": "In your capacity as a language ɑnalyst, assess the following sentenes and classify their metaphor as 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 77.69607843137256,
"transfer_atk_acc": 78.18627450980392
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 94.0,
"origin_prompt": "Review the given context and question, and decide if the context contains enough information to support the answer by selecting 'entailment' or 'not_entailment'.",
"atk_acc": 92.9,
"atk_prompt": "Review the given coոtext and question, and dcide if the context contains enough particulars to support the answeⲅ by selecting 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 85.2,
"transfer_atk_acc": 89.2
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 93.7,
"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": 92.3,
"atk_prompt": "Iike a semantic interpretation, evaluated lf the prоvided context supports the answer to the given question and answers with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 88.0,
"transfer_atk_acc": 61.8
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 88.8,
"origin_prompt": "Determine if the given pair of statements can be considered the same by responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 87.6,
"atk_prompt": "Defining if the given paired of statements can be considered the same by responds with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 86.8,
"transfer_atk_acc": 87.0
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 90.0,
"origin_prompt": "As a tool for determining question equivalence, review the questions and categorize their similarity as either 'equivalent' or 'not_equivalent'.",
"atk_acc": 87.6,
"atk_prompt": "As a tool for deciding queѕtion equivalence, review the questions and classifications their portrait as neither 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 86.3,
"transfer_atk_acc": 86.1
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 93.5,
"origin_prompt": "Identify whether the given pair of sentences demonstrates entailment or not_entailment. Answer with 'entailment' or 'not_entailment'.",
"atk_acc": 92.42,
"atk_prompt": "Identifying whether the given pair of sentencing demonstrates entailment or not_entailment. Respond with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 84.83754512635379,
"transfer_atk_acc": 84.47653429602889
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 93.86,
"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": 90.97,
"atk_prompt": "Working as an entailment classifier, identify both the given piar of sentences displaying entailment or not_entailment. Respond with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 83.75451263537906,
"transfer_atk_acc": 80.86642599277978
},
{
"dataset": "sst2",
"type": "task",
"origin_acc": 96.79,
"origin_prompt": "Determine the overall sentiment of this sentence, categorizing it as 'positive' or 'negative'.",
"atk_acc": 95.87,
"atk_prompt": "Determine the general sentiment of this condemnation, categorizing it as 'positive' or 'negative'. ",
"transfer_ori_acc": 94.38073394495413,
"transfer_atk_acc": 95.52752293577981
},
{
"dataset": "sst2",
"type": "role",
"origin_acc": 96.56,
"origin_prompt": "As a sentiment classifier, determine whether the following text is 'positive' or 'negative'.",
"atk_acc": 95.18,
"atk_prompt": "As a emotion classifier, determine whether the follоwing wording is 'positive' or 'negative'. ",
"transfer_ori_acc": 94.4954128440367,
"transfer_atk_acc": 94.61009174311926
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 77.46,
"origin_prompt": "Assess the connection between the following sentences and classify it as 'entailment' or 'not_entailment'.",
"atk_acc": 76.06,
"atk_prompt": "Assss the connection between the following sentences and classify it as 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 64.7887323943662,
"transfer_atk_acc": 63.38028169014085
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 76.06,
"origin_prompt": "In your role as an entailment analysis tool, assess the relationship between the given sentences and classify it as 'entailment' or 'not_entailment'.",
"atk_acc": 71.83,
"atk_prompt": "In your role as an entailment analysis tool, assess the relationship between the given punishments and categorize it as 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 57.74647887323944,
"transfer_atk_acc": 60.56338028169014
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 53.9,
"origin_prompt": "Below are multiple-choice question concerning {}. Indicate your response with 'A', 'B', 'C', or 'D'.",
"atk_acc": 52.3,
"atk_prompt": "Belоw are multipl-echoice quеstion concening {}. Indicate your response with 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 45.39007092198582,
"transfer_atk_acc": 44.32624113475177
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 54.08,
"origin_prompt": "Considering your familiarity with {}, attend to the following multiple-choice question by picking 'A', 'B', 'C', or 'D'.",
"atk_acc": 52.48,
"atk_prompt": "Considering your familiarity with {}, attend to the following mutliple-choice matter by picking 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 46.98581560283688,
"transfer_atk_acc": 46.09929078014184
},
{
"dataset": "squad_v2",
"type": "task",
"origin_acc": 91.05,
"origin_prompt": "Identify the most relevant answer from the context. If it's not possible to find an answer, state 'unanswerable'.",
"atk_acc": 89.38,
"atk_prompt": "Identify the most reevant answer from the context. If it's not achievable to find an answer, state 'unanswerable'.",
"transfer_ori_acc": 87.01356406751144,
"transfer_atk_acc": 86.54992770387507
},
{
"dataset": "squad_v2",
"type": "role",
"origin_acc": 90.55,
"origin_prompt": "Being well-versed in the context, please derive the most fitting answer. If there isn't an answer in the context, use 'unanswerable'.",
"atk_acc": 80.92,
"atk_prompt": "Underway well-versed in the context, please subtract the most fitting answer. If there isn't an answer in the framework, use 'unanswerable'.",
"transfer_ori_acc": 87.04992770387507,
"transfer_atk_acc": 87.31659437054175
},
{
"dataset": "iwslt",
"type": "task",
"origin_acc": 0.27,
"origin_prompt": "Accurately translate the sentence from {} to {}, ensuring the meaning remains intact.",
"atk_acc": 0.23,
"atk_prompt": "Acϲurately translate the sentence from {} to {}, ensuring the meaning remains unaffected. ",
"transfer_ori_acc": 0.2195336520895316,
"transfer_atk_acc": 0.21684835046261514
},
{
"dataset": "iwslt",
"type": "role",
"origin_acc": 0.27,
"origin_prompt": "Taking on the role of a certified translator, perform a translation of the given sentence from {} to {}.",
"atk_acc": 0.23,
"atk_prompt": "Taking on the role of a certifying translators, pefrorm a translatiоn of the givеn sentence from {} to {}. ",
"transfer_ori_acc": 0.21945913242821213,
"transfer_atk_acc": 0.223790160931717
},
{
"dataset": "un_multi",
"type": "task",
"origin_acc": 0.36,
"origin_prompt": "Perform a machine translation for the provided sentence, changing it from {} to {}.",
"atk_acc": 0.35,
"atk_prompt": "Preform a machinery translation for the providеd sentence, changing it from {} to {}. ",
"transfer_ori_acc": 0.30870734220870066,
"transfer_atk_acc": 0.30758829636925916
},
{
"dataset": "un_multi",
"type": "role",
"origin_acc": 0.36,
"origin_prompt": "As a skilled linguist, please convert the following sentence from {} to {}.",
"atk_acc": 0.35,
"atk_prompt": "As a skillful linguist, pelase convеrt the following sentence from {} to {}. ",
"transfer_ori_acc": 0.3046140486156621,
"transfer_atk_acc": 0.3072428127506268
},
{
"dataset": "math",
"type": "task",
"origin_acc": 16.88,
"origin_prompt": "Figure out the solution for the following mathematical task with {}.",
"atk_acc": 15.0,
"atk_prompt": "Figure out the solution for the followinɡ mathematical task with {}. ",
"transfer_ori_acc": 17.5,
"transfer_atk_acc": 17.5
},
{
"dataset": "math",
"type": "role",
"origin_acc": 16.88,
"origin_prompt": "Pretend you are a math teacher and solve this mathematical question concerning {}.",
"atk_acc": 13.75,
"atk_prompt": "Pretend you are a math teacher and settle this matehmatical question on {}. ",
"transfer_ori_acc": 16.875,
"transfer_atk_acc": 15.0
}
] |