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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 77.9,
"origin_prompt": "Examine the given sentence and decide if it is grammatically sound. Answer with either 'Acceptable' or 'Unacceptable':",
"atk_acc": 30.9,
"atk_prompt": "examine the english plural and say if it is grammaticalmost sound. Answer with neither 'Acceptable' or 'Unacceptable':",
"transfer_ori_acc": 77.0,
"transfer_atk_acc": 36.0
},
{
"dataset": "cola",
"type": "role",
"origin_acc": 76.3,
"origin_prompt": "As an instrument for grammar evaluation, consider the sentence and determine if its grammar is correct, responding with 'acceptable' for correct grammar or 'unacceptable' for incorrect grammar:",
"atk_acc": 30.9,
"atk_prompt": "for an organ for linguistic evaluation, write the movie and question if its grammar is incorrect, and with 'acceptable' for new grammar or 'unacceptable' for unstable grammar:",
"transfer_ori_acc": 79.0,
"transfer_atk_acc": 0.0
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 82.11,
"origin_prompt": "Do these two sentences have the same underlying meaning? Respond with 'equivalent' or 'not_equivalent'.",
"atk_acc": 16.67,
"atk_prompt": "do these two clauses have the same underlying meanings? deal with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 73.5,
"transfer_atk_acc": 69.5
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 82.6,
"origin_prompt": "In your capacity as a semantic comparison tool, examine the given sentences and decide if their meanings are identical, responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 9.07,
"atk_prompt": "using your capacity as a semantic relations member, determine the given words and decide if their meanings are consecutive, comparison with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 75.0,
"transfer_atk_acc": 4.5
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 88.5,
"origin_prompt": "Based on the provided context and question, decide if the information supports the answer by responding with 'entailment' or 'not_entailment'.",
"atk_acc": 27.6,
"atk_prompt": "following on the supplied context and questioning, save if the information states the response by simply with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 78.0,
"transfer_atk_acc": 36.0
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 89.2,
"origin_prompt": "As a textual analyst, examine if the given context logically implies the answer to the question and indicate your decision with 'entailment' or 'not_entailment'.",
"atk_acc": 11.8,
"atk_prompt": "as a textual analyst, scrutiny if the following means logical) implies the reply to the answer and cross your r with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 65.5,
"transfer_atk_acc": 9.0
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 88.1,
"origin_prompt": "Are the following two questions equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\".",
"atk_acc": 80.2,
"atk_prompt": "to the next enough being equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\". ",
"transfer_ori_acc": 81.0,
"transfer_atk_acc": 74.5
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 87.7,
"origin_prompt": "Acting as a question equivalence instrument, determine if the provided questions are equivalent in meaning, answering with 'equivalent' for similar questions or 'not_equivalent' for dissimilar ones.",
"atk_acc": 72.2,
"atk_prompt": "t as a question equal instrument, determine if the program questions are equivalent in semantic, asking with 'equivalent' for analogous question or 'not_equivalent' for nonssimicomplex times. ",
"transfer_ori_acc": 80.5,
"transfer_atk_acc": 81.5
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 86.64,
"origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
"atk_acc": 81.59,
"atk_prompt": "be the following deux verbs entailment or not_entailment? asking me with \"entailment\" or \"not_entailment\", just one word. ",
"transfer_ori_acc": 81.0,
"transfer_atk_acc": 76.5
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 84.84,
"origin_prompt": "While performing entailment analysis, classify the relationship between the provided sentences as 'entailment' or 'not_entailment':",
"atk_acc": 78.7,
"atk_prompt": "While performing entailment analysis, construct the relationship between the and sentence as 'entailment' or 'not_entailment':",
"transfer_ori_acc": 78.0,
"transfer_atk_acc": 75.5
},
{
"dataset": "sst2",
"type": "task",
"origin_acc": 94.95,
"origin_prompt": "Given the context of this text, indicate if the emotion conveyed is 'positive' or 'negative':",
"atk_acc": 92.89,
"atk_prompt": "give the context of this context, and if the emotion recorded is 'positive' or 'negative': ",
"transfer_ori_acc": 86.5,
"transfer_atk_acc": 0.0
},
{
"dataset": "sst2",
"type": "role",
"origin_acc": 95.41,
"origin_prompt": "In the role of a sentiment analysis tool, respond with 'positive' or 'negative' to classify this statement:",
"atk_acc": 89.79,
"atk_prompt": "how the role of a compliment analysis tool, responses with 'positive' or 'negative' to mood this statement: ",
"transfer_ori_acc": 92.5,
"transfer_atk_acc": 90.0
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 66.2,
"origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
"atk_acc": 54.93,
"atk_prompt": "are the following analogous sentence entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one verb. ",
"transfer_ori_acc": 64.7887323943662,
"transfer_atk_acc": 63.38028169014085
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 64.79,
"origin_prompt": "In the capacity of an entailment assessment system, indicate if the link between the following sentences is 'entailment' or 'not_entailment':",
"atk_acc": 56.34,
"atk_prompt": "h the capacity of an entailment assessment system, indicate if the link between the following verb is 'entailment' or 'not_entailment':",
"transfer_ori_acc": 57.74647887323944,
"transfer_atk_acc": 49.29577464788733
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 45.57,
"origin_prompt": "For the multiple-choice question related to {}, please choose the most accurate answer from 'A', 'B', 'C', or 'D'.",
"atk_acc": 16.84,
"atk_prompt": "For the multiple-choice choice similar to {}, please find the most inaccurate questions from 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 63.0,
"transfer_atk_acc": 10.0
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 44.86,
"origin_prompt": "Utilizing your expertise in {}, answer the following multiple-choice question by picking 'A', 'B', 'C', or 'D'.",
"atk_acc": 3.19,
"atk_prompt": "Utilizing your expertise in {}, write the following multiple-choices question by each 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 60.0,
"transfer_atk_acc": 59.5
},
{
"dataset": "squad_v2",
"type": "task",
"origin_acc": 87.82,
"origin_prompt": "Search the context for the most relevant answer. If the answer cannot be found, respond with 'unanswerable'.",
"atk_acc": 36.51,
"atk_prompt": "return the topic for the most mentioned question. then the answer cannot be found, respond with 'unanswerable'.",
"transfer_ori_acc": 61.62386143989461,
"transfer_atk_acc": 63.478546402546655
},
{
"dataset": "squad_v2",
"type": "role",
"origin_acc": 88.05,
"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": 42.92,
"atk_prompt": "in an authority on the context, discover the most incorrect explanation. ensure the person doesn't contains the answer, mention 'unanswerable'.",
"transfer_ori_acc": 57.818138335095256,
"transfer_atk_acc": 35.36431912991652
},
{
"dataset": "iwslt",
"type": "task",
"origin_acc": 0.14,
"origin_prompt": "Please perform a translation of the given sentence, converting it from {} to {}:",
"atk_acc": 0.13,
"atk_prompt": "Please perform a translation of the given citation, converting it from {} to {}:",
"transfer_ori_acc": 0.21840008360286153,
"transfer_atk_acc": 0.2179261989361023
},
{
"dataset": "iwslt",
"type": "role",
"origin_acc": 0.14,
"origin_prompt": "In the capacity of a proficient translator, please change the following sentence from {} to {}:",
"atk_acc": 0.11,
"atk_prompt": "i the capacity of a possessed translator, may modification the following sentence from {} to {}: ",
"transfer_ori_acc": 0.22335240384171567,
"transfer_atk_acc": 0.21951448904038018
},
{
"dataset": "un_multi",
"type": "task",
"origin_acc": 0.27,
"origin_prompt": "Convert the following sentence from its original {} language to the target language {}:",
"atk_acc": 0.21,
"atk_prompt": "refer the following sentence from its original {} language to the targets i {}:",
"transfer_ori_acc": 0.32648562280284094,
"transfer_atk_acc": 0.32318435707787674
},
{
"dataset": "un_multi",
"type": "role",
"origin_acc": 0.27,
"origin_prompt": "As a qualified translator, convert the given sentence from its original {} language to the target language {}:",
"atk_acc": 0.17,
"atk_prompt": "while a reflex translator, reverse the given sentence from its original {} language to the target languages {}: ",
"transfer_ori_acc": 0.3295374598940522,
"transfer_atk_acc": 0.3374240386421357
},
{
"dataset": "math",
"type": "task",
"origin_acc": 14.37,
"origin_prompt": "Obtain the result for this math question regarding {}:",
"atk_acc": 2.5,
"atk_prompt": "Obtain the procedure for this math question regarding {}:",
"transfer_ori_acc": 6.875000000000001,
"transfer_atk_acc": 0.625
},
{
"dataset": "math",
"type": "role",
"origin_acc": 13.12,
"origin_prompt": "As a mathematics instructor, calculate the answer to the following problem related to {}:",
"atk_acc": 1.88,
"atk_prompt": "As a mathematics instructor, calculate the sum to the following problem related to {}: ",
"transfer_ori_acc": 5.0,
"transfer_atk_acc": 2.5
}
]