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[
    {
        "dataset": "cola",
        "type": "task",
        "origin_acc": 79.0,
        "origin_prompt": "Review the sentence below and identify whether its grammar is 'Acceptable' or 'Unacceptable':",
        "atk_acc": 2.0,
        "atk_prompt": "Revising the punishments below and locate whether its dictionary is 'Acceptable' or 'Unacceptable':",
        "transfer_ori_acc": 86.0,
        "transfer_atk_acc": 78.10000000000001
    },
    {
        "dataset": "cola",
        "type": "role",
        "origin_acc": 80.0,
        "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": 6.0,
        "atk_prompt": "While performing jargon discusses, categories the language of the below sentence as 'acceptable' for mend jargon or 'unacceptable' for unfit grammar:",
        "transfer_ori_acc": 86.0,
        "transfer_atk_acc": 85.1
    },
    {
        "dataset": "mrpc",
        "type": "task",
        "origin_acc": 75.0,
        "origin_prompt": "Examine the pair of sentences and decide if their meanings are identical by answering with 'equivalent' or 'not_equivalent'.",
        "atk_acc": 68.5,
        "atk_prompt": "Examine the pair of sentences and selects if their regard are identical by responding with 'equivalent' or 'not_equivalent'. ",
        "transfer_ori_acc": 86.02941176470588,
        "transfer_atk_acc": 85.7843137254902
    },
    {
        "dataset": "mrpc",
        "type": "role",
        "origin_acc": 75.5,
        "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": 0.0,
        "atk_prompt": "About your expertise as a semantic appraisal means, evaluate the provided penalty and classify their meanings as 'equivalent' or 'not_equivalent'. ",
        "transfer_ori_acc": 83.33333333333334,
        "transfer_atk_acc": 81.61764705882352
    },
    {
        "dataset": "qnli",
        "type": "task",
        "origin_acc": 77.5,
        "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": 0.5,
        "atk_prompt": "Recital the context and items, and specify if the solution can be logically subtracted from the framework by reactions with 'entailment' or 'not_entailment'. ",
        "transfer_ori_acc": 93.7,
        "transfer_atk_acc": 58.4
    },
    {
        "dataset": "qnli",
        "type": "role",
        "origin_acc": 78.0,
        "origin_prompt": "As a semantic researcher, evaluate whether the provided context supports the answer to the question and choose 'entailment' or 'not_entailment'.",
        "atk_acc": 0.0,
        "atk_prompt": "As a semantic fellows, measuring whether the rendered background supports the answers to the item and chosen 'entailment' or 'not_entailment'. ",
        "transfer_ori_acc": 94.69999999999999,
        "transfer_atk_acc": 94.0
    },
    {
        "dataset": "qqp",
        "type": "task",
        "origin_acc": 80.5,
        "origin_prompt": "Can these two statements be considered equal in meaning? Answer with 'equivalent' or 'not_equivalent'.",
        "atk_acc": 0.0,
        "atk_prompt": "Kan these two statement is studied same in sens? Reaction with 'equivalent' or 'not_equivalent'. ",
        "transfer_ori_acc": 87.4,
        "transfer_atk_acc": 88.6
    },
    {
        "dataset": "qqp",
        "type": "role",
        "origin_acc": 80.5,
        "origin_prompt": "Functioning as a question similarity evaluation tool, analyze the given questions and decide if they share the same meaning, responding with 'equivalent' or 'not_equivalent'.",
        "atk_acc": 76.5,
        "atk_prompt": "Functioning as a question similarity evaluation tool, analyse the given questions and decide if they share the same feel, responding with 'equivalent' or 'not_equivalent'. ",
        "transfer_ori_acc": 88.0,
        "transfer_atk_acc": 88.9
    },
    {
        "dataset": "rte",
        "type": "task",
        "origin_acc": 83.5,
        "origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
        "atk_acc": 60.5,
        "atk_prompt": "Pose the aftermath two phrases entailment or not_entailment? Reactions me with \"entailment\" or \"not_entailment\", just one adjectives. ",
        "transfer_ori_acc": 94.22382671480143,
        "transfer_atk_acc": 92.4187725631769
    },
    {
        "dataset": "rte",
        "type": "role",
        "origin_acc": 81.0,
        "origin_prompt": "As an instrument for entailment evaluation, consider the two sentences and determine if their relationship is 'entailment' or 'not_entailment'. Respond with 'entailment' or 'not_entailment':",
        "atk_acc": 60.0,
        "atk_prompt": "Because an devices for entailment appraised, revisit the two phrases and identifying if their correlate is 'entailment' or 'not_entailment'. Answered with 'entailment' or 'not_entailment':",
        "transfer_ori_acc": 93.50180505415162,
        "transfer_atk_acc": 91.69675090252709
    },
    {
        "dataset": "sst2",
        "type": "task",
        "origin_acc": 90.5,
        "origin_prompt": "Review this statement and decide whether it has a 'positive' or 'negative' sentiment:",
        "atk_acc": 0.0,
        "atk_prompt": "Analysis this assertion and defining whether it ai a 'positive' or 'negative' sentiment: ",
        "transfer_ori_acc": 96.55963302752293,
        "transfer_atk_acc": 96.10091743119266
    },
    {
        "dataset": "sst2",
        "type": "role",
        "origin_acc": 94.0,
        "origin_prompt": "Emulating a sentiment classification system, indicate whether the provided text is 'positive' or 'negative'. Classify:",
        "atk_acc": 4.5,
        "atk_prompt": "Emulating a foreboding classifies regime, explain whether the stipulated laws is 'positive' or 'negative'. Grading: ",
        "transfer_ori_acc": 95.87155963302753,
        "transfer_atk_acc": 95.52752293577981
    },
    {
        "dataset": "wnli",
        "type": "task",
        "origin_acc": 69.01,
        "origin_prompt": "Identify whether the given pair of sentences demonstrates entailment or not_entailment. Answer with 'entailment' or 'not_entailment'.",
        "atk_acc": 52.11,
        "atk_prompt": "Identify whether the given pair of sentence exposes entailment or not_entailment. Retaliated with 'entailment' or 'not_entailment'.",
        "transfer_ori_acc": 78.87323943661971,
        "transfer_atk_acc": 83.09859154929578
    },
    {
        "dataset": "wnli",
        "type": "role",
        "origin_acc": 67.61,
        "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": 46.48,
        "atk_prompt": "Acting as an entailment detection instrument, determine if the given torque of sentences depicting entailment or not_entailment. Reactions with 'entailment' or 'not_entailment':",
        "transfer_ori_acc": 78.87323943661971,
        "transfer_atk_acc": 78.87323943661971
    },
    {
        "dataset": "mmlu",
        "type": "task",
        "origin_acc": 64.0,
        "origin_prompt": "In relation to the multiple-choice question on {}, please provide the accurate answer by choosing 'A', 'B', 'C', or 'D'.",
        "atk_acc": 50.5,
        "atk_prompt": "In relation to the multiple-choice issue on {}, please delivering the clarification rebuttal by selector 'A', 'B', 'C', or 'D'. ",
        "transfer_ori_acc": 51.95035460992907,
        "transfer_atk_acc": 53.54609929078015
    },
    {
        "dataset": "mmlu",
        "type": "role",
        "origin_acc": 61.5,
        "origin_prompt": "As a skilled person in the field of {}, please respond to the multiple-choice question by choosing 'A', 'B', 'C', or 'D'.",
        "atk_acc": 54.5,
        "atk_prompt": "As a expert person in the minefields of {}, please reacts to the multiple-choice question by choice 'A', 'B', 'C', or 'D'.",
        "transfer_ori_acc": 52.4822695035461,
        "transfer_atk_acc": 53.90070921985816
    },
    {
        "dataset": "squad_v2",
        "type": "task",
        "origin_acc": 70.01,
        "origin_prompt": "Based on the given context, provide the best possible answer. If there's no answer available in the context, respond with 'unanswerable'.",
        "atk_acc": 5.68,
        "atk_prompt": "Based on the received backgrounds, provide the nicest unlikely respond. Although there's no riposte available in the context, reactions with 'unanswerable'.",
        "transfer_ori_acc": 89.38229949874687,
        "transfer_atk_acc": 64.65591060985798
    },
    {
        "dataset": "squad_v2",
        "type": "role",
        "origin_acc": 69.17,
        "origin_prompt": "Using your knowledge of the context, identify the best answer to the question. If the context doesn't provide an answer, write 'unanswerable'.",
        "atk_acc": 12.54,
        "atk_prompt": "Using your skill of the background, specify the improved rebuttal to the question. While the context doesn't delivering an reactions, writings 'unanswerable'.",
        "transfer_ori_acc": 88.31979949874687,
        "transfer_atk_acc": 83.85692382078497
    },
    {
        "dataset": "iwslt",
        "type": "task",
        "origin_acc": 0.22,
        "origin_prompt": "Using machine translation, convert the given sentence from {} into the {} language:",
        "atk_acc": 0.0,
        "atk_prompt": "Using typewriter translation, transformation the given sentence from {} into the {} pronunciation:",
        "transfer_ori_acc": 0.17087237648129655,
        "transfer_atk_acc": 0.18145247530896158
    },
    {
        "dataset": "iwslt",
        "type": "role",
        "origin_acc": 0.22,
        "origin_prompt": "Taking on the role of a certified translator, perform a translation of the given sentence from {} to {}:",
        "atk_acc": 0.0,
        "atk_prompt": "Select on the features of a certifiable translators, conducting a translation of the gave sentencing from {} to {}: ",
        "transfer_ori_acc": 0.1727120569025014,
        "transfer_atk_acc": 0.17242972008557814
    },
    {
        "dataset": "un_multi",
        "type": "task",
        "origin_acc": 0.34,
        "origin_prompt": "Translate the subsequent text passage from its original {} language to the {} language:",
        "atk_acc": 0.07,
        "atk_prompt": "Translate the sequential version passage from its primitive {} grammar to the {} pronunciation:",
        "transfer_ori_acc": 0.31391205501691966,
        "transfer_atk_acc": 0.29980040349878595
    },
    {
        "dataset": "un_multi",
        "type": "role",
        "origin_acc": 0.34,
        "origin_prompt": "While acting as an experienced language expert, translate the following text from {} to {}:",
        "atk_acc": 0.27,
        "atk_prompt": "While acting as an suffered dialect expert, translate the below laws from {} to {}: ",
        "transfer_ori_acc": 0.3133010160127483,
        "transfer_atk_acc": 0.30695283823442066
    },
    {
        "dataset": "math",
        "type": "task",
        "origin_acc": 6.88,
        "origin_prompt": "Obtain the result for this math question regarding {}:",
        "atk_acc": 0.0,
        "atk_prompt": "Obtain the achievements for this math question respecting {}:",
        "transfer_ori_acc": 13.750000000000002,
        "transfer_atk_acc": 13.750000000000002
    },
    {
        "dataset": "math",
        "type": "role",
        "origin_acc": 5.0,
        "origin_prompt": "As a mathematics instructor, calculate the answer to the following problem related to {}:",
        "atk_acc": 0.0,
        "atk_prompt": "As a mathematics instructor, calculate the rebuttal to the following problem related to {}: ",
        "transfer_ori_acc": 15.0,
        "transfer_atk_acc": 8.125
    }
]