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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": 32.1,
"atk_prompt": "Examining the given condemnation and decide if it is pronoun sounds. Answer with neither 'Acceptable' or 'Unacceptable':",
"transfer_ori_acc": 77.0,
"transfer_atk_acc": 79.5
},
{
"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": 46.8,
"atk_prompt": "Because an devices for grammar assessment, consdier the punishments and determining if its grammar is correct, responԁing with 'acceptable' for correct grammar or 'unacceptable' for incorrect pronunciation:",
"transfer_ori_acc": 79.5,
"transfer_atk_acc": 73.5
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 82.11,
"origin_prompt": "Do the meanings of these two statements align? Indicate your answer with 'equivalent' or 'not_equivalent'.",
"atk_acc": 75.25,
"atk_prompt": "Do the meanings of these two statemеnts alіgn? Denotes your answer with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 74.0,
"transfer_atk_acc": 71.0
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 81.62,
"origin_prompt": "As a language comparison expert, examine the given pair of sentences and decide if their meanings align, answering with 'equivalent' or 'not_equivalent'.",
"atk_acc": 74.26,
"atk_prompt": "As a language comparison e×pert, examine the given p air of sentences and decide if their meaings alin, answering with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 73.5,
"transfer_atk_acc": 71.5
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 89.8,
"origin_prompt": "Evaluate whether the given context supports the answer to the question by responding with 'entailment' or 'not_entailment'.",
"atk_acc": 56.8,
"atk_prompt": "Evɑluate lf the given context supports the replying to the question by answer with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 78.0,
"transfer_atk_acc": 76.0
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 89.4,
"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": 50.8,
"atk_prompt": "Since a semantic interpreter, as sess lf the provіded background supports the answer to the ɡiven question and answer with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 68.0,
"transfer_atk_acc": 59.0
},
{
"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": 78.6,
"atk_prompt": "Are the following tԝo matters equivalent or not? Replying me with \"equivalent\" or \"not_equivalent\". ",
"transfer_ori_acc": 81.0,
"transfer_atk_acc": 80.5
},
{
"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": 82.5,
"atk_prompt": "Actinɡ as a question equivaleոce inst rument, determine if the prvided questions are equivalent in mean, answering with 'equivalent' for similar questions or 'not_equivalent' for dіssimilar ones. ",
"transfer_ori_acc": 80.5,
"transfer_atk_acc": 81.0
},
{
"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": 82.31,
"atk_prompt": "Arе the following to sentences entailment or not_entailment? Respond me with \"entailment\" or \"not_entailment\", just one word. ",
"transfer_ori_acc": 81.0,
"transfer_atk_acc": 82.5
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 85.56,
"origin_prompt": "As an instrument for entailment evaluation, consider the two sentences and determine if their relationship is 'entailment' or 'not_entailment'. Respond with 'entailment' or 'not_entailment':",
"atk_acc": 82.67,
"atk_prompt": "As an instrument for entailment evaluation, consider the t wo sentences and determine if their relationѕhip is 'entailment' or 'not_entailment'. Respond with 'entailment' or 'not_entailment':",
"transfer_ori_acc": 81.0,
"transfer_atk_acc": 81.5
},
{
"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": 76.26,
"atk_prompt": "Giveո the background of this text, depicts if the emotions transmitted is 'positive' or 'negative': ",
"transfer_ori_acc": 86.0,
"transfer_atk_acc": 0.0
},
{
"dataset": "sst2",
"type": "role",
"origin_acc": 95.3,
"origin_prompt": "Serving as a sentiment evaluation model, determine if the given statement is 'positive' or 'negative'. Classify:",
"atk_acc": 88.53,
"atk_prompt": "Serving as a emotion evluation models, determining if the conferred state ment is 'positive' or 'negative'. Classify: ",
"transfer_ori_acc": 92.5,
"transfer_atk_acc": 89.0
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 66.2,
"origin_prompt": "Analyze the two provided sentences and decide if their relationship is 'entailment' or 'not_entailment'.",
"atk_acc": 57.75,
"atk_prompt": "Analyse the two provided sentences and dеcide if their relations is 'entailment' or 'not_entailment'.",
"transfer_ori_acc": 56.33802816901409,
"transfer_atk_acc": 49.29577464788733
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 66.2,
"origin_prompt": "As an entailment identification system, examine the connection between the following sentences and respond with 'entailment' or 'not_entailment':",
"atk_acc": 57.75,
"atk_prompt": "As an entailment identification system, investigated the connection between the subsequently sentences and replying with 'entailment' or 'not_entailment':",
"transfer_ori_acc": 52.112676056338024,
"transfer_atk_acc": 53.52112676056338
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 45.74,
"origin_prompt": "For each multiple-choice question about {}, identify the correct answer by selecting 'A', 'B', 'C', or 'D'.",
"atk_acc": 43.26,
"atk_prompt": "For each multip le-choice question about {}, identify the rectify answer by selеcting 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 59.5,
"transfer_atk_acc": 61.0
},
{
"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": 40.96,
"atk_prompt": "Utilizіng your expertise in {}, answeⲅ the following multiple-choice question by collection 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 60.5,
"transfer_atk_acc": 61.5
},
{
"dataset": "squad_v2",
"type": "task",
"origin_acc": 87.55,
"origin_prompt": "Find the correct answer in the context provided. If an answer cannot be found, please respond with 'unanswerable'.",
"atk_acc": 85.82,
"atk_prompt": "Find the corrected replying in the ϲontext given. If an answer cannot be found, please respond with 'unanswerable'.",
"transfer_ori_acc": 68.00635455830609,
"transfer_atk_acc": 57.73809370827644
},
{
"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": 81.52,
"atk_prompt": "As an authoⲅity on the context, locate the most meticulous respond. Whether the context doesn't contain the answer, mentioո 'unanswerable'.",
"transfer_ori_acc": 58.10976445922912,
"transfer_atk_acc": 40.24112357998453
},
{
"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 perfоrm a trɑnslation of the given sentence, converting it from {} to {}:",
"transfer_ori_acc": 0.21840008360286153,
"transfer_atk_acc": 0.224537727441171
},
{
"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": 0.12,
"atk_prompt": "In the capacities of a proficient traոslator, рlease change the following sentence from {} to {}: ",
"transfer_ori_acc": 0.2231085456603854,
"transfer_atk_acc": 0.2216494294567663
},
{
"dataset": "un_multi",
"type": "task",
"origin_acc": 0.27,
"origin_prompt": "Accurately translate the sentence from {} to {}, ensuring the meaning remains intact:",
"atk_acc": 0.17,
"atk_prompt": "Scrupulously translate the sentence from {} to {}, ensuring the meani ng remains intact:",
"transfer_ori_acc": 0.32498606395104107,
"transfer_atk_acc": 0.32744615484476725
},
{
"dataset": "un_multi",
"type": "role",
"origin_acc": 0.27,
"origin_prompt": "Assuming the role of an expert language translator, translate the given text from {} to {}:",
"atk_acc": 0.19,
"atk_prompt": "Asѕuming the role of an experts la nguage translator, translate the ɡiven text from {} to {}: ",
"transfer_ori_acc": 0.33099601433996206,
"transfer_atk_acc": 0.3330518884351019
},
{
"dataset": "math",
"type": "task",
"origin_acc": 16.25,
"origin_prompt": "Evaluate the following mathematical problem that includes {}:",
"atk_acc": 10.0,
"atk_prompt": "Evaluate the following mathematical problem that inϲludes {}:",
"transfer_ori_acc": 4.375,
"transfer_atk_acc": 5.0
},
{
"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": 9.38,
"atk_prompt": "As a mathematics instructoⲅ, calculate the answers to the following problem related to {}: ",
"transfer_ori_acc": 5.0,
"transfer_atk_acc": 5.0
}
] |