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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 86.4,
"origin_prompt": "Review the sentence below and identify whether its grammar is 'Acceptable' or 'Unacceptable'.",
"atk_acc": 83.6,
"atk_prompt": "Reviee the sentence below and identfy wehther its grmamar is 'Acceptable' or 'Unacceptable'. ",
"transfer_ori_acc": 80.0,
"transfer_atk_acc": 80.5
},
{
"dataset": "cola",
"type": "role",
"origin_acc": 86.9,
"origin_prompt": "In the capacity of a grammar assessment system, indicate if the structure of the provided sentence is grammatically correct, responding with 'acceptable' or 'unacceptable'.",
"atk_acc": 85.2,
"atk_prompt": "Io the capcity of a grammar assessment system, indicate if the strcture of the povided senrence is grammatiaclly corrct, responding with 'acceptable' or 'unacceptable'. ",
"transfer_ori_acc": 79.5,
"transfer_atk_acc": 82.0
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 87.01,
"origin_prompt": "Can the given sentences be considered semantically identical? Please reply with 'equivalent' or 'not_equivalent'.",
"atk_acc": 84.31,
"atk_prompt": "Can the given sentences be considered semantically idrntical? Please reply with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 71.5,
"transfer_atk_acc": 72.0
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 87.5,
"origin_prompt": "As a textual similarity evaluator, analyze the following pair of sentences and determine if they are semantically 'equivalent' or 'not_equivalent'.",
"atk_acc": 84.56,
"atk_prompt": "As a extual simialrity evaluator, analyze the following pair of sentences and determine if they are semantically 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 72.0,
"transfer_atk_acc": 72.0
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 94.0,
"origin_prompt": "Review the given context and question, and decide if the context contains enough information to support the answer by selecting 'entailment' or 'not_entailment'.",
"atk_acc": 93.4,
"atk_prompt": "Review the given cotext and question, and Pdecide if the context contains enough information to sGupport the answe by sefecting 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 83.0,
"transfer_atk_acc": 85.5
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 93.7,
"origin_prompt": "As a semantic interpreter, assess whether the provided context supports the answer to the given question and answer with 'entailment' or 'not_entailment'.",
"atk_acc": 92.9,
"atk_prompt": "As a semantic interpreter, assless wether the provided context supports the answer to the given question and answer with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 82.5,
"transfer_atk_acc": 81.0
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 88.7,
"origin_prompt": "Examine the following expressions and tell me if they are alike in meaning by using 'equivalent' or 'not_equivalent'.",
"atk_acc": 87.4,
"atk_prompt": "Examine the following expressiZns and tell me if they are aike in meaning by wusing 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 82.0,
"transfer_atk_acc": 83.5
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 89.3,
"origin_prompt": "While performing question comparison analysis, classify the similarity of the following questions as 'equivalent' for equivalent questions or 'not_equivalent' for different questions.",
"atk_acc": 87.6,
"atk_prompt": "While performing Pquestion comparison analysig, classify the simioarity of the following queFtions as 'equivalent' for equivalent questions or 'not_equivalent' for different questions. ",
"transfer_ori_acc": 83.0,
"transfer_atk_acc": 83.0
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 93.5,
"origin_prompt": "Determine if the given pair of sentences displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment'.",
"atk_acc": 92.42,
"atk_prompt": "Determine if the given paGr of sentenecs displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 82.0,
"transfer_atk_acc": 84.0
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 93.5,
"origin_prompt": "As a tool for determining entailment relationships, review the two statements and categorize their connection as either 'entailment' or 'not_entailment'.",
"atk_acc": 92.42,
"atk_prompt": "AL a tool for determining entailment relationhsips, review the two staJements and categorize their connection as either 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 82.5,
"transfer_atk_acc": 83.0
},
{
"dataset": "sst2",
"type": "task",
"origin_acc": 96.79,
"origin_prompt": "Evaluate the sentiment of the given text and classify it as 'positive' or 'negative'.",
"atk_acc": 96.33,
"atk_prompt": "Evaluate the sentiment of the given tXxt and classify it as 'positive' or 'negative'. ",
"transfer_ori_acc": 96.0,
"transfer_atk_acc": 97.5
},
{
"dataset": "sst2",
"type": "role",
"origin_acc": 96.56,
"origin_prompt": "As a sentiment classifier, determine whether the following text is 'positive' or 'negative'.",
"atk_acc": 96.1,
"atk_prompt": "As a sentiment classifier, determine whether the followJing text is 'positive' or 'negative'. ",
"transfer_ori_acc": 97.0,
"transfer_atk_acc": 96.5
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 77.46,
"origin_prompt": "Assess the connection between the following sentences and classify it as 'entailment' or 'not_entailment'.",
"atk_acc": 74.65,
"atk_prompt": "Assuss the connection between the following sensences and classify it as 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 66.19718309859155,
"transfer_atk_acc": 63.38028169014085
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 77.46,
"origin_prompt": "Working as an entailment classifier, identify whether the given pair of sentences displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment'.",
"atk_acc": 76.06,
"atk_prompt": "Working as an entailment classifeir, identify whether the given pair of sentences displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 59.154929577464785,
"transfer_atk_acc": 66.19718309859155
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 53.9,
"origin_prompt": "Below are multiple-choice question concerning {}. Indicate your response with 'A', 'B', 'C', or 'D'.",
"atk_acc": 52.3,
"atk_prompt": "Belvw are multiple-chioce question conecrning {}. IndicaZe your response with 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 66.0,
"transfer_atk_acc": 68.0
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 54.08,
"origin_prompt": "Considering your familiarity with {}, attend to the following multiple-choice question by picking 'A', 'B', 'C', or 'D'.",
"atk_acc": 52.66,
"atk_prompt": "Considering your familiarity with {}, atKtend to the follownig multipleNchoice juestion by picking 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 66.0,
"transfer_atk_acc": 64.0
},
{
"dataset": "squad_v2",
"type": "task",
"origin_acc": 91.05,
"origin_prompt": "Identify the most relevant answer from the context. If it's not possible to find an answer, state 'unanswerable'.",
"atk_acc": 89.38,
"atk_prompt": "Identify the most rDlevant answer from the context. If it's not opssible to find an answer, tate 'unanswerable'.",
"transfer_ori_acc": 71.47410199978852,
"transfer_atk_acc": 71.61769816970047
},
{
"dataset": "squad_v2",
"type": "role",
"origin_acc": 90.55,
"origin_prompt": "Being well-versed in the context, please derive the most fitting answer. If there isn't an answer in the context, use 'unanswerable'.",
"atk_acc": 89.32,
"atk_prompt": "eBing well-versed in the contet, please drive the most fitting answer. If there isn't an answer in the context, Euse 'unanswerable'.",
"transfer_ori_acc": 72.77111468270583,
"transfer_atk_acc": 75.33021810590462
},
{
"dataset": "iwslt",
"type": "task",
"origin_acc": 0.24,
"origin_prompt": "Perform a machine translation for the provided sentence, changing it from {} to {}.",
"atk_acc": 0.19,
"atk_prompt": "Preform a machine translatino for the provied senteXce, chanigng it from {} to {}. ",
"transfer_ori_acc": 0.2384195972370229,
"transfer_atk_acc": 0.24039407944003002
},
{
"dataset": "iwslt",
"type": "role",
"origin_acc": 0.27,
"origin_prompt": "Taking on the role of a certified translator, perform a translation of the given sentence from {} to {}.",
"atk_acc": 0.21,
"atk_prompt": "Tking on the role of a Aertified tranolator, pefrorm a transAlation of the gUven sentence from {} to {}. ",
"transfer_ori_acc": 0.24299451836310085,
"transfer_atk_acc": 0.24500704776489246
},
{
"dataset": "un_multi",
"type": "task",
"origin_acc": 0.36,
"origin_prompt": "Perform a machine translation for the provided sentence, changing it from {} to {}.",
"atk_acc": 0.35,
"atk_prompt": "PeVform a machine transAation for the provide setence, changlng it from {} to {}. ",
"transfer_ori_acc": 0.35088965012617107,
"transfer_atk_acc": 0.3469523563679777
},
{
"dataset": "un_multi",
"type": "role",
"origin_acc": 0.36,
"origin_prompt": "As a skilled linguist, please convert the following sentence from {} to {}.",
"atk_acc": 0.35,
"atk_prompt": "AK a skilled linguist, please onvert the following sentence from {} to {}. ",
"transfer_ori_acc": 0.349502226303474,
"transfer_atk_acc": 0.35036095468490386
},
{
"dataset": "math",
"type": "task",
"origin_acc": 16.88,
"origin_prompt": "Figure out the solution for the following mathematical task with {}.",
"atk_acc": 14.37,
"atk_prompt": "Figure out the solution for the following maKthematical Utask with {}. ",
"transfer_ori_acc": 20.0,
"transfer_atk_acc": 22.5
},
{
"dataset": "math",
"type": "role",
"origin_acc": 16.88,
"origin_prompt": "Pretend you are a math teacher and solve this mathematical question concerning {}.",
"atk_acc": 15.0,
"atk_prompt": "Petend you are a math teacher and solve this mathematical euestion concCerning {}. ",
"transfer_ori_acc": 20.0,
"transfer_atk_acc": 19.375
}
] |