[
    {
        "dataset": "cola",
        "type": "translation",
        "origin_acc": 79.5,
        "origin_prompt": "Functioning as a grammar evaluation tool, analyze the given sentence and decide if it is grammatically correct, responding with 'acceptable' or 'unacceptable':",
        "atk_acc": 25.0,
        "atk_prompt": "Classify the grammar of a given sentence into two categories, 'acceptable' or 'unacceptable', and judge its accuracy.",
        "transfer_ori_acc": 76.3,
        "transfer_atk_acc": 75.3
    },
    {
        "dataset": "mrpc",
        "type": "translation",
        "origin_acc": 76.5,
        "origin_prompt": "Can the given sentences be considered semantically identical? Please reply with 'equivalent' or 'not_equivalent'.",
        "atk_acc": 7.0,
        "atk_prompt": "As an expert in semantic comparison, assess the similarity between the following two sentences and determine whether they are 'equivalent' or 'not_equivalent'.",
        "transfer_ori_acc": 80.63725490196079,
        "transfer_atk_acc": 83.82352941176471
    },
    {
        "dataset": "qnli",
        "type": "translation",
        "origin_acc": 79.5,
        "origin_prompt": "Assess if the answer to the question can be logically concluded from the provided context by choosing 'entailment' or 'not_entailment'.",
        "atk_acc": 56.5,
        "atk_prompt": "Check the text link to the question and answer 'entailment' or 'not_entailment', depending on your language skills.",
        "transfer_ori_acc": 84.8,
        "transfer_atk_acc": 56.3
    },
    {
        "dataset": "qqp",
        "type": "translation",
        "origin_acc": 84.0,
        "origin_prompt": "Determine if the given pair of statements can be considered the same by responding with 'equivalent' or 'not_equivalent'.",
        "atk_acc": 3.0,
        "atk_prompt": "As a tool for determining the equivalence of problems, the problems are examined and their similarity is classified as 'equivalent' or 'not_equivalent'.",
        "transfer_ori_acc": 87.6,
        "transfer_atk_acc": 72.0
    },
    {
        "dataset": "rte",
        "type": "translation",
        "origin_acc": 84.0,
        "origin_prompt": "Determine if the given pair of sentences displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment'.",
        "atk_acc": 39.0,
        "atk_prompt": "Determine whether the given sentences have a cause-effect relationship as an engagement analysis tool and categorize them as 'entailment' or 'not_entailment'.",
        "transfer_ori_acc": 84.11552346570397,
        "transfer_atk_acc": 85.5595667870036
    },
    {
        "dataset": "sst2",
        "type": "translation",
        "origin_acc": 96.0,
        "origin_prompt": "Read the provided excerpt and choose between 'positive' and 'negative' to describe its sentiment:",
        "atk_acc": 29.5,
        "atk_prompt": "In the context of textual analysis, what classification is this phrase between 'positive' and 'negative'?",
        "transfer_ori_acc": 94.83944954128441,
        "transfer_atk_acc": 94.15137614678899
    },
    {
        "dataset": "wnli",
        "type": "translation",
        "origin_acc": 67.61,
        "origin_prompt": "Examine the pair of sentences and determine if they exhibit entailment or not_entailment. Answer with either 'entailment' or 'not_entailment'.",
        "atk_acc": 26.76,
        "atk_prompt": "Using implication analysis, determine whether the given sentences have a cause-effect relationship and categorize them as 'entailment' or 'not_entailment'.",
        "transfer_ori_acc": 61.97183098591549,
        "transfer_atk_acc": 59.154929577464785
    },
    {
        "dataset": "mmlu",
        "type": "translation",
        "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": 49.5,
        "atk_prompt": "Choose the correct answer to the multiple-choice question below. Is '{}' an 'A', 'B', 'C', or 'D'.",
        "transfer_ori_acc": 44.858156028368796,
        "transfer_atk_acc": 43.262411347517734
    },
    {
        "dataset": "squad_v2",
        "type": "translation",
        "origin_acc": 72.37,
        "origin_prompt": "Discover the best answer based on the context. If the context doesn't include an answer, respond with 'unanswerable'.",
        "atk_acc": 46.08,
        "atk_prompt": "Please tell me what your question is about. If there is no context in which you can provide an answer, respond with 'unanswerable'.",
        "transfer_ori_acc": 87.54992770387507,
        "transfer_atk_acc": 87.42265497660236
    },
    {
        "dataset": "iwslt",
        "type": "translation",
        "origin_acc": 0.22,
        "origin_prompt": "Using machine translation, convert the given sentence from {} into the {} language:",
        "atk_acc": 0.11,
        "atk_prompt": "Please convert the sentence below to {}, and then translate it to {},",
        "transfer_ori_acc": 0.13366423747896072,
        "transfer_atk_acc": 0.13525124600739777
    },
    {
        "dataset": "un_multi",
        "type": "translation",
        "origin_acc": 0.34,
        "origin_prompt": "Perform a machine translation for the provided sentence, changing it from {} to {}:",
        "atk_acc": 0.16,
        "atk_prompt": "Please convert the sentence below to {}, and then translate it to {},",
        "transfer_ori_acc": 0.26814405340158265,
        "transfer_atk_acc": 0.2698370828666449
    },
    {
        "dataset": "math",
        "type": "translation",
        "origin_acc": 6.88,
        "origin_prompt": "Calculate the answer to the following math query about {}:",
        "atk_acc": 3.75,
        "atk_prompt": "Use {} to solve the following mathematical problem.",
        "transfer_ori_acc": 13.125,
        "transfer_atk_acc": 15.625
    }
]