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[
{
"dataset": "cola",
"type": "task",
"origin_acc": 86.4,
"origin_prompt": "Examine the given sentence and decide if it is grammatically sound. Answer with either 'Acceptable' or 'Unacceptable'.",
"atk_acc": 39.5,
"atk_prompt": "Inspect the made condemning and select if it is grammatically healthier. Answers with either 'Acceptable' or 'Unacceptable'. ",
"transfer_ori_acc": 0.8999999999999999,
"transfer_atk_acc": 5.800000000000001
},
{
"dataset": "cola",
"type": "role",
"origin_acc": 86.6,
"origin_prompt": "While performing grammar analysis, classify the grammar of the following sentence as 'acceptable' for correct grammar or 'unacceptable' for incorrect grammar.",
"atk_acc": 73.0,
"atk_prompt": "While performing grammar scans, classify the verbs of the afterward condemned as 'acceptable' for correctness grammar or 'unacceptable' for inappropriate vocabulary. ",
"transfer_ori_acc": 49.9,
"transfer_atk_acc": 7.7
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 86.52,
"origin_prompt": "Compare the following sentences and determine if they share the same semantic meaning by responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 83.58,
"atk_prompt": "Compare the later judgements and defines if they exchange the same semantic sensation by answered with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 62.254901960784316,
"transfer_atk_acc": 72.05882352941177
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 89.22,
"origin_prompt": "As a sentence similarity evaluator, analyze the provided sentences and indicate if their meanings are 'equivalent' or 'not_equivalent'.",
"atk_acc": 85.29,
"atk_prompt": "As a sentence metaphor evaluator, analyze the brought priors and demonstrating if their meanings are 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 68.13725490196079,
"transfer_atk_acc": 70.58823529411765
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 94.0,
"origin_prompt": "Analyze the context and question, and indicate if the context entails the answer by choosing 'entailment' or 'not_entailment'.",
"atk_acc": 54.2,
"atk_prompt": "Explore the context and question, and suggest if the context involves the rebuttal by selected 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 35.0,
"transfer_atk_acc": 21.0
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 93.9,
"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": 61.5,
"atk_prompt": "Because a semantic inquisitors, appraise whether the provided context alleges the rebuttal to the issuing and selector 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 41.6,
"transfer_atk_acc": 36.7
},
{
"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": 85.9,
"atk_prompt": "Examine the afterward words and saying me if they are uniformly in connotation by using 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 44.9,
"transfer_atk_acc": 34.0
},
{
"dataset": "qqp",
"type": "role",
"origin_acc": 90.0,
"origin_prompt": "As a tool for determining question equivalence, review the questions and categorize their similarity as either 'equivalent' or 'not_equivalent'.",
"atk_acc": 87.6,
"atk_prompt": "Because a tool for determining question equivalence, examination the queries and classifications their likeness as either 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 31.7,
"transfer_atk_acc": 31.2
},
{
"dataset": "rte",
"type": "task",
"origin_acc": 93.5,
"origin_prompt": "Identify whether the given pair of sentences demonstrates entailment or not_entailment. Answer with 'entailment' or 'not_entailment'.",
"atk_acc": 92.42,
"atk_prompt": "Deciding whether the given pair of sentencing demonstrates entailment or not_entailment. Answer with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 7.2202166064981945,
"transfer_atk_acc": 47.292418772563174
},
{
"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": 91.34,
"atk_prompt": "Because a device for determining entailment relationships, review the two words and categorize their connection as either 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 28.158844765342963,
"transfer_atk_acc": 9.025270758122744
},
{
"dataset": "sst2",
"type": "task",
"origin_acc": 96.79,
"origin_prompt": "Determine the overall sentiment of this sentence, categorizing it as 'positive' or 'negative'.",
"atk_acc": 93.46,
"atk_prompt": "Determine the plenary senses of this condemning, categorizing it as 'positive' or 'negative'. ",
"transfer_ori_acc": 0.573394495412844,
"transfer_atk_acc": 1.6055045871559634
},
{
"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": 95.18,
"atk_prompt": "As a emotion classifier, ascertain whether the suite wording is 'positive' or 'negative'. ",
"transfer_ori_acc": 15.36697247706422,
"transfer_atk_acc": 18.807339449541285
},
{
"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": 73.24,
"atk_prompt": "Appraisal the attach between the suite condemns and classify it as 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 19.718309859154928,
"transfer_atk_acc": 7.042253521126761
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 76.06,
"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": 73.24,
"atk_prompt": "In your role as an entailment analysis tool, assess the reports between the given sentences and classify it as 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 23.943661971830984,
"transfer_atk_acc": 23.943661971830984
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 54.08,
"origin_prompt": "For the multiple-choice question related to {}, please choose the most accurate answer from 'A', 'B', 'C', or 'D'.",
"atk_acc": 24.82,
"atk_prompt": "Within the multiple-choice item relevant to {}, please decides the most careful rebuttal from 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 7.2695035460992905,
"transfer_atk_acc": 6.560283687943262
},
{
"dataset": "mmlu",
"type": "role",
"origin_acc": 53.72,
"origin_prompt": "As an expert in {}, respond to the following multiple-choice question by selecting 'A', 'B', 'C', or 'D'.",
"atk_acc": 51.95,
"atk_prompt": "As an whiz in {}, respond to the following multiple-choice question by decided 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 9.042553191489363,
"transfer_atk_acc": 10.28368794326241
}
] |