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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": 50.0,
"transfer_atk_acc": 32.4
},
{
"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": 36.199999999999996,
"transfer_atk_acc": 50.8
},
{
"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": 45.34313725490196,
"transfer_atk_acc": 40.931372549019606
},
{
"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": 63.23529411764706,
"transfer_atk_acc": 23.52941176470588
},
{
"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": 26.5,
"transfer_atk_acc": 12.6
},
{
"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": 8.7,
"transfer_atk_acc": 7.3999999999999995
},
{
"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": 23.9,
"transfer_atk_acc": 18.5
},
{
"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": 25.0,
"transfer_atk_acc": 6.0
},
{
"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": 27.075812274368232,
"transfer_atk_acc": 7.9422382671480145
},
{
"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": 24.90974729241877,
"transfer_atk_acc": 24.187725631768952
},
{
"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": 29.472477064220183,
"transfer_atk_acc": 42.6605504587156
},
{
"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": 26.261467889908257,
"transfer_atk_acc": 21.3302752293578
},
{
"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": 7.042253521126761,
"transfer_atk_acc": 7.042253521126761
},
{
"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": 43.66197183098591,
"transfer_atk_acc": 39.436619718309856
},
{
"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": 22.69503546099291,
"transfer_atk_acc": 25.354609929078016
},
{
"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": 20.74468085106383,
"transfer_atk_acc": 33.51063829787234
}
] |