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[
    {
        "dataset": "cola",
        "type": "task",
        "origin_acc": 81.0,
        "origin_prompt": "Analyze the provided sentence and classify its grammatical correctness as 'Acceptable' or 'Unacceptable'.",
        "atk_acc": 59.0,
        "atk_prompt": "Analyze the reported speech and classify its inclusive correcting as 'Acceptable' or 'Unacceptable'. ",
        "transfer_ori_acc": 77.10000000000001,
        "transfer_atk_acc": 74.1
    },
    {
        "dataset": "cola",
        "type": "role",
        "origin_acc": 81.0,
        "origin_prompt": "In the role of a syntax analyzer, examine the grammar of the provided sentence and decide if it is correct, answering with 'acceptable' for grammatically correct sentences or 'unacceptable' for incorrect ones.",
        "atk_acc": 75.5,
        "atk_prompt": "using the art of a level analyzeg, examine the grammar of the provided sentence and decide if it is genuine, answering with 'acceptable' for grammatically correct sentences or 'unacceptable' for incorrect ones. ",
        "transfer_ori_acc": 74.2,
        "transfer_atk_acc": 74.0
    },
    {
        "dataset": "mrpc",
        "type": "task",
        "origin_acc": 74.0,
        "origin_prompt": "Compare the following sentences and determine if they share the same semantic meaning by responding with 'equivalent' or 'not_equivalent'.",
        "atk_acc": 47.5,
        "atk_prompt": "Compare the following sentences and determine if they lack the same aspect marking by respectively with 'equivalent' or 'not_equivalent'. ",
        "transfer_ori_acc": 80.3921568627451,
        "transfer_atk_acc": 81.61764705882352
    },
    {
        "dataset": "mrpc",
        "type": "role",
        "origin_acc": 71.5,
        "origin_prompt": "In the role of a textual comparison specialist, examine the given sentences and decide if they share the same meaning, responding with 'equivalent' or 'not_equivalent'.",
        "atk_acc": 47.0,
        "atk_prompt": "have the role of a textual comparison academic, examine the given sentences and determine if they share the same length, responding with 'equivalent' or 'not_equivalent'. ",
        "transfer_ori_acc": 79.65686274509804,
        "transfer_atk_acc": 76.22549019607843
    },
    {
        "dataset": "qnli",
        "type": "task",
        "origin_acc": 84.0,
        "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": 71.0,
        "atk_prompt": "put the contexts and question, and be if the answer can be logically deduced from the question by stating with 'entailment' or 'not_entailment'. ",
        "transfer_ori_acc": 85.39999999999999,
        "transfer_atk_acc": 78.9
    },
    {
        "dataset": "qnli",
        "type": "role",
        "origin_acc": 84.0,
        "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": 70.0,
        "atk_prompt": "As a structural inference expert, analyze if the answer to the challenge can be deduced from the query audience and select 'entailment' or 'not_entailment'. ",
        "transfer_ori_acc": 77.2,
        "transfer_atk_acc": 82.8
    },
    {
        "dataset": "qqp",
        "type": "task",
        "origin_acc": 82.5,
        "origin_prompt": "Are the following two questions equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\".",
        "atk_acc": 78.5,
        "atk_prompt": "Are the following versus answers equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\". ",
        "transfer_ori_acc": 87.9,
        "transfer_atk_acc": 87.7
    },
    {
        "dataset": "qqp",
        "type": "role",
        "origin_acc": 83.5,
        "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": 78.0,
        "atk_prompt": "and an instrument for question comparison analysis, consider the questions and establish if their topic is the same, responding with 'equivalent' for matching responses or 'not_equivalent' for between questions. ",
        "transfer_ori_acc": 86.4,
        "transfer_atk_acc": 86.5
    },
    {
        "dataset": "rte",
        "type": "task",
        "origin_acc": 85.0,
        "origin_prompt": "Review the two statements and categorize their relationship as either 'entailment' or 'not_entailment'.",
        "atk_acc": 59.5,
        "atk_prompt": "write the second statements and categorize their relationship as neither 'entailment' or 'not_entailment'. ",
        "transfer_ori_acc": 84.83754512635379,
        "transfer_atk_acc": 84.47653429602889
    },
    {
        "dataset": "rte",
        "type": "role",
        "origin_acc": 83.5,
        "origin_prompt": "While performing entailment analysis, classify the relationship between the provided sentences as 'entailment' or 'not_entailment'.",
        "atk_acc": 79.0,
        "atk_prompt": "was performing entailment analysis, classify the relationship between the first phrase as 'entailment' or 'not_entailment'. ",
        "transfer_ori_acc": 83.39350180505414,
        "transfer_atk_acc": 83.39350180505414
    },
    {
        "dataset": "sst2",
        "type": "task",
        "origin_acc": 95.5,
        "origin_prompt": "After examining the following expression, label its emotion as either 'positive' or 'negative'.",
        "atk_acc": 94.5,
        "atk_prompt": "After examining the following expression, label its emotion as either 'positive' or 'negative' Q47Jmd4lMV. ",
        "transfer_ori_acc": 93.69266055045871,
        "transfer_atk_acc": 93.92201834862385
    },
    {
        "dataset": "sst2",
        "type": "role",
        "origin_acc": 97.5,
        "origin_prompt": "In the capacity of a sentiment classifier, decide whether the given quote is 'positive' or 'negative'.",
        "atk_acc": 96.5,
        "atk_prompt": "In the capacity of a sentiment classifier, decide whether the given quote is 'positive' or 'negative' 9Q3S1F94fE. ",
        "transfer_ori_acc": 94.95412844036697,
        "transfer_atk_acc": 94.95412844036697
    },
    {
        "dataset": "wnli",
        "type": "task",
        "origin_acc": 69.01,
        "origin_prompt": "Review the two statements and categorize their relationship as either 'entailment' or 'not_entailment'.",
        "atk_acc": 59.15,
        "atk_prompt": "examine the paired actions and categorize their relationship as is 'entailment' or 'not_entailment'. ",
        "transfer_ori_acc": 63.38028169014085,
        "transfer_atk_acc": 66.19718309859155
    },
    {
        "dataset": "wnli",
        "type": "role",
        "origin_acc": 66.2,
        "origin_prompt": "In the role of a semantic relationship analyzer, examine the connection between the given sentences and decide if they exhibit entailment or not_entailment. Answer with 'entailment' or 'not_entailment'.",
        "atk_acc": 56.34,
        "atk_prompt": "In the role of a semantic relationship analyzer, define the connection between the given links and decide if they display entailment or not_entailment. Answer with 'entailment' or 'not_entailment'. ",
        "transfer_ori_acc": 56.33802816901409,
        "transfer_atk_acc": 66.19718309859155
    },
    {
        "dataset": "mmlu",
        "type": "task",
        "origin_acc": 66.5,
        "origin_prompt": "Please respond to the multiple-choice question about {} by selecting the appropriate answer: 'A', 'B', 'C', or 'D'.",
        "atk_acc": 11.5,
        "atk_prompt": "at respond to the multiple-independent question about {} by selecting the inappropriate question: 'A', 'B', 'C', or 'D'. ",
        "transfer_ori_acc": 45.21276595744681,
        "transfer_atk_acc": 33.51063829787234
    },
    {
        "dataset": "mmlu",
        "type": "role",
        "origin_acc": 65.5,
        "origin_prompt": "Considering your familiarity with {}, attend to the following multiple-choice question by picking 'A', 'B', 'C', or 'D'.",
        "atk_acc": 52.5,
        "atk_prompt": "all your ability with {}, attend to the following multiple-select question by picking 'A', 'B', 'C', or 'D'.",
        "transfer_ori_acc": 46.98581560283688,
        "transfer_atk_acc": 45.92198581560284
    },
    {
        "dataset": "squad_v2",
        "type": "task",
        "origin_acc": 72.25,
        "origin_prompt": "Based on the given context, provide the best possible answer. If there's no answer available in the context, reply with 'unanswerable'.",
        "atk_acc": 65.81,
        "atk_prompt": "Based on the use context, provide the best possible answer. who there'tis no answer provided in the area, reply with 'unanswerable'.",
        "transfer_ori_acc": 87.04992770387507,
        "transfer_atk_acc": 87.54992770387507
    },
    {
        "dataset": "squad_v2",
        "type": "role",
        "origin_acc": 72.45,
        "origin_prompt": "As a proficient expert in the given context, search for the most relevant answer. If the answer cannot be found, respond by saying 'unanswerable'.",
        "atk_acc": 61.02,
        "atk_prompt": "As a proficient expert in the given context, try for the most specific out. If the question lacks be search, end by as 'unanswerable'.",
        "transfer_ori_acc": 87.31659437054175,
        "transfer_atk_acc": 87.68023073417811
    },
    {
        "dataset": "iwslt",
        "type": "task",
        "origin_acc": 0.24,
        "origin_prompt": "Convert the following sentence from its original {} language to the target language {}.",
        "atk_acc": 0.21,
        "atk_prompt": "Convert the following sentence from its actual {} language to the net language {}. ",
        "transfer_ori_acc": 0.2240211126734209,
        "transfer_atk_acc": 0.22296244610321242
    },
    {
        "dataset": "iwslt",
        "type": "role",
        "origin_acc": 0.24,
        "origin_prompt": "Assuming the responsibilities of a professional translator, translate the subsequent text passage from {} to {}.",
        "atk_acc": 0.17,
        "atk_prompt": "what the responsibilities of a professional scholar, translate the subsequent text passage from {} to {}. ",
        "transfer_ori_acc": 0.22030199520456395,
        "transfer_atk_acc": 0.22001437607394084
    },
    {
        "dataset": "un_multi",
        "type": "task",
        "origin_acc": 0.36,
        "origin_prompt": "Translate the following text from the source language {} to the target language {}.",
        "atk_acc": 0.35,
        "atk_prompt": "Translate the following area from the standard language {} to the target language {}. ",
        "transfer_ori_acc": 0.3090347352409074,
        "transfer_atk_acc": 0.30893566132252137
    },
    {
        "dataset": "un_multi",
        "type": "role",
        "origin_acc": 0.35,
        "origin_prompt": "As a qualified translator, convert the given sentence from its original {} language to the target language {}.",
        "atk_acc": 0.26,
        "atk_prompt": "As a qualified proper, converts the target sentence from its original {} language to the english language {}. ",
        "transfer_ori_acc": 0.31127691224033316,
        "transfer_atk_acc": 0.306608167162218
    },
    {
        "dataset": "math",
        "type": "task",
        "origin_acc": 22.5,
        "origin_prompt": "Compute the result of this math task concerning {}.",
        "atk_acc": 3.12,
        "atk_prompt": "Compute the degree of this math task concerning {}. ",
        "transfer_ori_acc": 16.25,
        "transfer_atk_acc": 16.875
    },
    {
        "dataset": "math",
        "type": "role",
        "origin_acc": 22.5,
        "origin_prompt": "As a mathematics instructor, calculate the answer to the following problem related to {}.",
        "atk_acc": 7.5,
        "atk_prompt": "as a mathematics instructor, evaluate the reply to the following problem and to {}. ",
        "transfer_ori_acc": 17.5,
        "transfer_atk_acc": 16.25
    }
]