March07's picture
add transferability information
683d0f6
[
{
"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": 26.0,
"transfer_atk_acc": 22.400000000000002
},
{
"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": 30.5,
"transfer_atk_acc": 15.299999999999999
},
{
"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": 65.44117647058823,
"transfer_atk_acc": 65.93137254901961
},
{
"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": 59.31372549019608,
"transfer_atk_acc": 61.76470588235294
},
{
"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": 35.6,
"transfer_atk_acc": 40.1
},
{
"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": 33.5,
"transfer_atk_acc": 16.7
},
{
"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": 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": 44.9,
"transfer_atk_acc": 34.0
},
{
"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": 38.3,
"transfer_atk_acc": 33.4
},
{
"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": 9.386281588447654,
"transfer_atk_acc": 34.29602888086642
},
{
"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": 28.158844765342963,
"transfer_atk_acc": 32.49097472924188
},
{
"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": 10.435779816513762,
"transfer_atk_acc": 36.46788990825688
},
{
"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": 15.36697247706422,
"transfer_atk_acc": 29.81651376146789
},
{
"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": 19.718309859154928,
"transfer_atk_acc": 29.577464788732392
},
{
"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": 0.0,
"transfer_atk_acc": 2.8169014084507045
},
{
"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": 6.382978723404255,
"transfer_atk_acc": 7.092198581560284
},
{
"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": 8.156028368794328,
"transfer_atk_acc": 9.75177304964539
}
]