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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 86.4,
"origin_prompt": "Check the grammar of the following sentence and indicate if it is 'Acceptable' or 'Unacceptable'.",
"atk_acc": 78.4,
"atk_prompt": "label the person of the following sentence and check if it is 'Acceptable' or 'Unacceptable'. ",
"transfer_ori_acc": 76.3,
"transfer_atk_acc": 74.5
},
{
"dataset": "cola",
"type": "role",
"origin_acc": 86.6,
"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": 78.2,
"atk_prompt": "be doing grammar analysis, classify the rule of the following example as 'acceptable' for wrong spelling or 'unacceptable' for bad grammar. ",
"transfer_ori_acc": 75.7,
"transfer_atk_acc": 76.4
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 86.76,
"origin_prompt": "Compare the following sentences and determine if they share the same semantic meaning by responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 39.71,
"atk_prompt": "like the following sentences and determine if they lack the same plural meaning by responding with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 80.3921568627451,
"transfer_atk_acc": 78.18627450980392
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 88.97,
"origin_prompt": "As a sentence similarity evaluator, analyze the provided sentences and indicate if their meanings are 'equivalent' or 'not_equivalent'.",
"atk_acc": 81.37,
"atk_prompt": "As a sentence compare evaluators, view the derived variables and indicate if their meanings are 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 79.16666666666666,
"transfer_atk_acc": 81.37254901960785
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 94.0,
"origin_prompt": "Analyze the context and question, and indicate if the context entails the answer by choosing 'entailment' or 'not_entailment'.",
"atk_acc": 88.8,
"atk_prompt": "Analyze the context and question, and indicate if the dictionary ennotes the context by avoiding 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 87.3,
"transfer_atk_acc": 79.9
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 93.6,
"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": 83.5,
"atk_prompt": "with a semantic presentation, evaluation why the provided contexts supports the answer to the given answer and questions with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 88.0,
"transfer_atk_acc": 79.10000000000001
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 88.7,
"origin_prompt": "Examine the following expressions and tell me if they are alike in meaning by using 'equivalent' or 'not_equivalent'.",
"atk_acc": 82.9,
"atk_prompt": "Examine the past expressions and give me if they are common in meaning by putting 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 86.7,
"transfer_atk_acc": 84.7
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 90.1,
"origin_prompt": "As a tool for determining question equivalence, review the questions and categorize their similarity as either 'equivalent' or 'not_equivalent'.",
"atk_acc": 74.3,
"atk_prompt": "according a tool for identifying concept equivalence, do the questions and tcsconsider their compared as neither 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 86.3,
"transfer_atk_acc": 87.0
},
{
"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": 91.34,
"atk_prompt": "a as the given pair of verb demonstrates entailment or not_entailment. question with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 84.83754512635379,
"transfer_atk_acc": 83.75451263537906
},
{
"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": 65.34,
"atk_prompt": "acting as an entailment classindicator, identify neither the given pair of sentences displays entailment or not_entailment. reply with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 83.75451263537906,
"transfer_atk_acc": 83.75451263537906
},
{
"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": 92.2,
"atk_prompt": "locate the associate emotion of this sentence, categorizing it as 'positive' or 'negative'. ",
"transfer_ori_acc": 94.38073394495413,
"transfer_atk_acc": 93.69266055045871
},
{
"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": 95.3,
"atk_prompt": "in a sentiment classifier, determine where the over words is 'positive' or 'negative'. ",
"transfer_ori_acc": 94.4954128440367,
"transfer_atk_acc": 93.92201834862385
},
{
"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": 74.65,
"atk_prompt": "a the links between the following sentences and classify it as 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 64.7887323943662,
"transfer_atk_acc": 64.7887323943662
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 77.46,
"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": 66.2,
"atk_prompt": "Working as an entailment classauxiliary, identify but the verbal a of nouns displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 59.154929577464785,
"transfer_atk_acc": 61.97183098591549
},
{
"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": 51.24,
"atk_prompt": "Below are multiple-guessing guess concerning {}. begin your response with 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 45.39007092198582,
"transfer_atk_acc": 45.21276595744681
},
{
"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": 51.77,
"atk_prompt": "considering your familiarity with {}, order to the following multiple-picked question by starting 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 46.98581560283688,
"transfer_atk_acc": 43.97163120567376
},
{
"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": 44.5,
"atk_prompt": "Identify the most irrelevant answer from the context. If it's not possible to find an statement, begin 'unanswerable'.",
"transfer_ori_acc": 87.01356406751144,
"transfer_atk_acc": 86.80523073417811
},
{
"dataset": "squad_v2",
"type": "role",
"origin_acc": 90.05,
"origin_prompt": "As an authority on the context, locate the most accurate answer. If the context doesn't contain the answer, mention 'unanswerable'.",
"atk_acc": 44.5,
"atk_prompt": "and an authority on the context, designate the most inaccurate answer. find the context doesn't contain the answer, identify 'unanswerable'.",
"transfer_ori_acc": 87.04992770387507,
"transfer_atk_acc": 84.54765497660233
},
{
"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": "i translate the sentence from {} to {}, assumed the meaning remains intact. ",
"transfer_ori_acc": 0.2195336520895316,
"transfer_atk_acc": 0.21614450392320392
},
{
"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": "she on the role of a certified translation, and a translation of the given sentence from {} to {}. ",
"transfer_ori_acc": 0.21945913242821213,
"transfer_atk_acc": 0.22007159970160398
},
{
"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": "perform a machine translation for the displayed sentence, export it from {} to {}. ",
"transfer_ori_acc": 0.30870734220870066,
"transfer_atk_acc": 0.3074168683157207
},
{
"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": "d a skilled linguist, right example the following sentence from {} to {}. ",
"transfer_ori_acc": 0.3046140486156621,
"transfer_atk_acc": 0.3009084897973228
},
{
"dataset": "math",
"type": "task",
"origin_acc": 16.88,
"origin_prompt": "Figure out the solution for the following mathematical task with {}.",
"atk_acc": 13.75,
"atk_prompt": "Figure out the solution for the following arithmetic task with {}. ",
"transfer_ori_acc": 17.5,
"transfer_atk_acc": 16.875
},
{
"dataset": "math",
"type": "role",
"origin_acc": 16.25,
"origin_prompt": "Act as a math expert and compute the result of the following mathematical task about {}.",
"atk_acc": 12.5,
"atk_prompt": "Act as a math team and correct the result of the following mathematical task about {}. ",
"transfer_ori_acc": 15.625,
"transfer_atk_acc": 16.25
}
] |