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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 80.5,
"origin_prompt": "Analyze the provided sentence and classify its grammatical correctness as 'Acceptable' or 'Unacceptable'.",
"atk_acc": 67.5,
"atk_prompt": "Analysing the provided sentences and classify its pronouns correct as 'Acceptable' or 'Unacceptable'. ",
"transfer_ori_acc": 77.10000000000001,
"transfer_atk_acc": 66.9
},
{
"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": 77.5,
"atk_prompt": "In the role of a syntax checker, examine the grammɑr of the provided sentence and decide if it is correct, answering with 'acceptable' for grammatically correct sentence or 'unacceptable' for incorrect ones. ",
"transfer_ori_acc": 74.2,
"transfer_atk_acc": 74.1
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 73.0,
"origin_prompt": "Assess if the two given sentences have equivalent meanings by selecting 'equivalent' or 'not_equivalent'.",
"atk_acc": 68.0,
"atk_prompt": "Ass ess if the two gien sentences have equivalent meanings by selecting 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 82.84313725490196,
"transfer_atk_acc": 81.61764705882352
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 71.5,
"origin_prompt": "As a linguistic comparator, review the following pair of sentences and determine their semantic equivalence by choosing 'equivalent' or 'not_equivalent'.",
"atk_acc": 64.5,
"atk_prompt": "As a linguistic comparator, review the following torque of sentences and determine their semantiϲ eԛuivalence by choosing 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 79.90196078431373,
"transfer_atk_acc": 77.69607843137256
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 85.0,
"origin_prompt": "Examine the context and question, and determine if the context logically implies the answer by selecting 'entailment' or 'not_entailment'.",
"atk_acc": 76.0,
"atk_prompt": "Examine the cntext and question, and determine if the backdrop logically implies the answer by selecting 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 86.5,
"transfer_atk_acc": 88.4
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 83.0,
"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": 73.5,
"atk_prompt": "Aѕ a semantic researcher, evaluate si the gave framework supports the respond to the question and choose 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 87.3,
"transfer_atk_acc": 80.7
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 82.5,
"origin_prompt": "Can these two statements be considered equal in meaning? Answer with 'equivalent' or 'not_equivalent'.",
"atk_acc": 80.0,
"atk_prompt": "Can these two st atements be considered equal in meaning? Ansԝer with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 87.6,
"transfer_atk_acc": 85.9
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 82.5,
"origin_prompt": "In the capacity of a question assessment system, indicate if the meaning of the provided questions is the same, responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 80.5,
"atk_prompt": "In the abilities of a question ɑssessment system, indicate if the meaning of the provided matters is the same, responding with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 86.1,
"transfer_atk_acc": 85.9
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 84.0,
"origin_prompt": "Review the two statements and categorize their relationship as either 'entailment' or 'not_entailment'.",
"atk_acc": 76.5,
"atk_prompt": "Review the two declarations 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": "As an entailment identification system, examine the connection between the following sentences and respond with 'entailment' or 'not_entailment'.",
"atk_acc": 80.0,
"atk_prompt": "As an entailment identification system, eamine the connection between the following sentences and reѕpond with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 82.67148014440433,
"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": 74.0,
"atk_prompt": "Ater examining the following expression, etiquette its emotion as nor 'positive' or 'negative'. ",
"transfer_ori_acc": 93.69266055045871,
"transfer_atk_acc": 94.61009174311926
},
{
"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": 93.5,
"atk_prompt": "Onto the capacity of a feeling classifeir, decide si the given quote is 'positive' or 'negative'. ",
"transfer_ori_acc": 94.95412844036697,
"transfer_atk_acc": 95.06880733944955
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 69.01,
"origin_prompt": "Indicate if the connection between the following sentences is 'entailment' or 'not_entailment'.",
"atk_acc": 61.97,
"atk_prompt": "Indicate if the connection between the following sentences is 'entailment' or 'not_entailment' Vq3aBzuZcD. ",
"transfer_ori_acc": 64.7887323943662,
"transfer_atk_acc": 66.19718309859155
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 66.2,
"origin_prompt": "In your role as an entailment analysis tool, assess the relationship between the given sentences and classify it as 'entailment' or 'not_entailment'.",
"atk_acc": 59.15,
"atk_prompt": "In your role as an entailment analysis tool, assess the relationship between the given sentences and classify it as 'entailment' or 'not_entailment' is77sOXAu8. ",
"transfer_ori_acc": 57.74647887323944,
"transfer_atk_acc": 57.74647887323944
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 67.5,
"origin_prompt": "In relation to the multiple-choice question on {}, please provide the accurate answer by choosing 'A', 'B', 'C', or 'D'.",
"atk_acc": 61.5,
"atk_prompt": "At relationship to the mul𝚝iple-choice question on {}, please proviԁe the accurate responding by choosing 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 46.808510638297875,
"transfer_atk_acc": 47.16312056737589
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 65.5,
"origin_prompt": "As someone well-versed in {}, please address the multiple-choice question below by selecting 'A', 'B', 'C', or 'D'.",
"atk_acc": 61.5,
"atk_prompt": "As someone well-vesred in {}, please address the muⅼtiple-choice questioո below by selecting 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 46.63120567375886,
"transfer_atk_acc": 46.09929078014184
},
{
"dataset": "squad_v2",
"type": "task",
"origin_acc": 72.75,
"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": 67.93,
"atk_prompt": "Based on the giveո context, provide the best pоssible answer. If there's no answer available in the contex𝚝, reply with 'unanswerable'.",
"transfer_ori_acc": 87.04992770387507,
"transfer_atk_acc": 87.54992770387507
},
{
"dataset": "squad_v2",
"type": "role",
"origin_acc": 70.63,
"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": 68.31,
"atk_prompt": "As a profcient expert in the given cоntext, search for the most relevant answer. If the anwser cannot be unearthed, respond by saying 'unanswerable'.",
"transfer_ori_acc": 87.31659437054175,
"transfer_atk_acc": 87.81659437054175
},
{
"dataset": "iwslt",
"type": "task",
"origin_acc": 0.23,
"origin_prompt": "Please perform a translation of the given sentence, converting it from {} to {}.",
"atk_acc": 0.23,
"atk_prompt": "Pⅼease perform a translating of the givеn sentence, conversion it from {} to {}. ",
"transfer_ori_acc": 0.22004054628058534,
"transfer_atk_acc": 0.22116640313338157
},
{
"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": 0.23,
"atk_prompt": "Assuminɡ the responsibilities of a professional transla𝚝or, translate the subsequent text passage from {} to {}. ",
"transfer_ori_acc": 0.22030199520456395,
"transfer_atk_acc": 0.22054117249828195
},
{
"dataset": "un_multi",
"type": "task",
"origin_acc": 0.35,
"origin_prompt": "Please perform a translation of the given sentence, converting it from {} to {}.",
"atk_acc": 0.35,
"atk_prompt": "Plеase perform a translation of the given sentence, convert it from {} to {}. ",
"transfer_ori_acc": 0.3076276888167265,
"transfer_atk_acc": 0.306696536710457
},
{
"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": 0.34,
"atk_prompt": "As a eligible translator, convert the given sentence from its orіginal {} language to the tarɡet language {}. ",
"transfer_ori_acc": 0.31127691224033316,
"transfer_atk_acc": 0.3058942177709969
},
{
"dataset": "math",
"type": "task",
"origin_acc": 23.12,
"origin_prompt": "Calculate the answer to the following math query about {}.",
"atk_acc": 20.62,
"atk_prompt": "Calculate the answer to the 𝚏ollowing math query about {}. ",
"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": 19.38,
"atk_prompt": "Since a mathematics istructor, calculate the answer to the following problem related to {}. ",
"transfer_ori_acc": 17.5,
"transfer_atk_acc": 17.5
}
] |