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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 81.0,
"origin_prompt": "Analyze the provided sentence and classify its grammatical correctness as 'Acceptable' or 'Unacceptable'.",
"atk_acc": 59.0,
"atk_prompt": "Analyze the reported speech and classify its inclusive correcting as 'Acceptable' or 'Unacceptable'. ",
"transfer_ori_acc": 10.9,
"transfer_atk_acc": 28.299999999999997
},
{
"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": 75.5,
"atk_prompt": "using the art of a level analyzeg, examine the grammar of the provided sentence and decide if it is genuine, answering with 'acceptable' for grammatically correct sentences or 'unacceptable' for incorrect ones. ",
"transfer_ori_acc": 3.4000000000000004,
"transfer_atk_acc": 14.899999999999999
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 74.0,
"origin_prompt": "Compare the following sentences and determine if they share the same semantic meaning by responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 47.5,
"atk_prompt": "Compare the following sentences and determine if they lack the same aspect marking by respectively with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 62.254901960784316,
"transfer_atk_acc": 58.82352941176471
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 71.5,
"origin_prompt": "In the role of a textual comparison specialist, examine the given sentences and decide if they share the same meaning, responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 47.0,
"atk_prompt": "have the role of a textual comparison academic, examine the given sentences and determine if they share the same length, responding with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 69.36274509803921,
"transfer_atk_acc": 67.15686274509804
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 84.0,
"origin_prompt": "Consider the context and question, and indicate if the answer can be logically deduced from the context by responding with 'entailment' or 'not_entailment'.",
"atk_acc": 71.0,
"atk_prompt": "put the contexts and question, and be if the answer can be logically deduced from the question by stating with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 27.500000000000004,
"transfer_atk_acc": 11.3
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 84.0,
"origin_prompt": "As a textual inference expert, analyze if the answer to the question can be deduced from the provided context and select 'entailment' or 'not_entailment'.",
"atk_acc": 70.0,
"atk_prompt": "As a structural inference expert, analyze if the answer to the challenge can be deduced from the query audience and select 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 40.300000000000004,
"transfer_atk_acc": 32.6
},
{
"dataset": "qqp",
"type": "task",
"origin_acc": 82.5,
"origin_prompt": "Are the following two questions equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\".",
"atk_acc": 78.5,
"atk_prompt": "Are the following versus answers equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\". ",
"transfer_ori_acc": 34.8,
"transfer_atk_acc": 34.5
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 83.5,
"origin_prompt": "As an instrument for question comparison evaluation, consider the questions and determine if their meaning is the same, responding with 'equivalent' for similar questions or 'not_equivalent' for different questions.",
"atk_acc": 78.0,
"atk_prompt": "and an instrument for question comparison analysis, consider the questions and establish if their topic is the same, responding with 'equivalent' for matching responses or 'not_equivalent' for between questions. ",
"transfer_ori_acc": 35.3,
"transfer_atk_acc": 28.599999999999998
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 85.0,
"origin_prompt": "Review the two statements and categorize their relationship as either 'entailment' or 'not_entailment'.",
"atk_acc": 59.5,
"atk_prompt": "write the second statements and categorize their relationship as neither 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 50.54151624548736,
"transfer_atk_acc": 42.59927797833935
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 83.5,
"origin_prompt": "While performing entailment analysis, classify the relationship between the provided sentences as 'entailment' or 'not_entailment'.",
"atk_acc": 79.0,
"atk_prompt": "was performing entailment analysis, classify the relationship between the first phrase as 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 32.49097472924188,
"transfer_atk_acc": 38.26714801444043
},
{
"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": 94.5,
"atk_prompt": "After examining the following expression, label its emotion as either 'positive' or 'negative' Q47Jmd4lMV. ",
"transfer_ori_acc": 7.912844036697248,
"transfer_atk_acc": 0.11467889908256881
},
{
"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": 96.5,
"atk_prompt": "In the capacity of a sentiment classifier, decide whether the given quote is 'positive' or 'negative' 9Q3S1F94fE. ",
"transfer_ori_acc": 20.18348623853211,
"transfer_atk_acc": 20.18348623853211
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 69.01,
"origin_prompt": "Review the two statements and categorize their relationship as either 'entailment' or 'not_entailment'.",
"atk_acc": 59.15,
"atk_prompt": "examine the paired actions and categorize their relationship as is 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 16.901408450704224,
"transfer_atk_acc": 8.450704225352112
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 66.2,
"origin_prompt": "In the role of a semantic relationship analyzer, examine the connection between the given sentences and decide if they exhibit entailment or not_entailment. Answer with 'entailment' or 'not_entailment'.",
"atk_acc": 56.34,
"atk_prompt": "In the role of a semantic relationship analyzer, define the connection between the given links and decide if they display entailment or not_entailment. Answer with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 5.633802816901409,
"transfer_atk_acc": 15.492957746478872
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 66.5,
"origin_prompt": "Please respond to the multiple-choice question about {} by selecting the appropriate answer: 'A', 'B', 'C', or 'D'.",
"atk_acc": 11.5,
"atk_prompt": "at respond to the multiple-independent question about {} by selecting the inappropriate question: 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 8.865248226950355,
"transfer_atk_acc": 12.411347517730496
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 65.5,
"origin_prompt": "Considering your familiarity with {}, attend to the following multiple-choice question by picking 'A', 'B', 'C', or 'D'.",
"atk_acc": 52.5,
"atk_prompt": "all your ability with {}, attend to the following multiple-select question by picking 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 8.156028368794328,
"transfer_atk_acc": 7.2695035460992905
}
] |