Spaces:
Runtime error
Runtime error
File size: 8,366 Bytes
683d0f6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 |
[
{
"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": 30.9,
"atk_prompt": "examine the english plural and say if it is grammaticalmost sound. Answer with neither 'Acceptable' or 'Unacceptable':",
"transfer_ori_acc": 50.0,
"transfer_atk_acc": 41.099999999999994
},
{
"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": 30.9,
"atk_prompt": "for an organ for linguistic evaluation, write the movie and question if its grammar is incorrect, and with 'acceptable' for new grammar or 'unacceptable' for unstable grammar:",
"transfer_ori_acc": 36.199999999999996,
"transfer_atk_acc": 44.4
},
{
"dataset": "mrpc",
"type": "task",
"origin_acc": 82.11,
"origin_prompt": "Do these two sentences have the same underlying meaning? Respond with 'equivalent' or 'not_equivalent'.",
"atk_acc": 16.67,
"atk_prompt": "do these two clauses have the same underlying meanings? deal with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 54.90196078431373,
"transfer_atk_acc": 18.38235294117647
},
{
"dataset": "mrpc",
"type": "role",
"origin_acc": 82.6,
"origin_prompt": "In your capacity as a semantic comparison tool, examine the given sentences and decide if their meanings are identical, responding with 'equivalent' or 'not_equivalent'.",
"atk_acc": 9.07,
"atk_prompt": "using your capacity as a semantic relations member, determine the given words and decide if their meanings are consecutive, comparison with 'equivalent' or 'not_equivalent'. ",
"transfer_ori_acc": 64.2156862745098,
"transfer_atk_acc": 51.71568627450981
},
{
"dataset": "qnli",
"type": "task",
"origin_acc": 88.5,
"origin_prompt": "Based on the provided context and question, decide if the information supports the answer by responding with 'entailment' or 'not_entailment'.",
"atk_acc": 27.6,
"atk_prompt": "following on the supplied context and questioning, save if the information states the response by simply with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 38.4,
"transfer_atk_acc": 9.6
},
{
"dataset": "qnli",
"type": "role",
"origin_acc": 89.2,
"origin_prompt": "As a textual analyst, examine if the given context logically implies the answer to the question and indicate your decision with 'entailment' or 'not_entailment'.",
"atk_acc": 11.8,
"atk_prompt": "as a textual analyst, scrutiny if the following means logical) implies the reply to the answer and cross your r with 'entailment' or 'not_entailment'. ",
"transfer_ori_acc": 13.8,
"transfer_atk_acc": 6.9
},
{
"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": 80.2,
"atk_prompt": "to the next enough being equivalent or not? Answer me with \"equivalent\" or \"not_equivalent\". ",
"transfer_ori_acc": 23.9,
"transfer_atk_acc": 19.3
},
{
"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": 72.2,
"atk_prompt": "t as a question equal instrument, determine if the program questions are equivalent in semantic, asking with 'equivalent' for analogous question or 'not_equivalent' for nonssimicomplex times. ",
"transfer_ori_acc": 25.0,
"transfer_atk_acc": 17.9
},
{
"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": 81.59,
"atk_prompt": "be the following deux verbs entailment or not_entailment? asking me with \"entailment\" or \"not_entailment\", just one word. ",
"transfer_ori_acc": 27.075812274368232,
"transfer_atk_acc": 34.29602888086642
},
{
"dataset": "rte",
"type": "role",
"origin_acc": 84.84,
"origin_prompt": "While performing entailment analysis, classify the relationship between the provided sentences as 'entailment' or 'not_entailment':",
"atk_acc": 78.7,
"atk_prompt": "While performing entailment analysis, construct the relationship between the and sentence as 'entailment' or 'not_entailment':",
"transfer_ori_acc": 23.104693140794225,
"transfer_atk_acc": 15.162454873646208
},
{
"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": 92.89,
"atk_prompt": "give the context of this context, and if the emotion recorded is 'positive' or 'negative': ",
"transfer_ori_acc": 29.472477064220183,
"transfer_atk_acc": 22.24770642201835
},
{
"dataset": "sst2",
"type": "role",
"origin_acc": 95.41,
"origin_prompt": "In the role of a sentiment analysis tool, respond with 'positive' or 'negative' to classify this statement:",
"atk_acc": 89.79,
"atk_prompt": "how the role of a compliment analysis tool, responses with 'positive' or 'negative' to mood this statement: ",
"transfer_ori_acc": 32.798165137614674,
"transfer_atk_acc": 39.10550458715596
},
{
"dataset": "wnli",
"type": "task",
"origin_acc": 66.2,
"origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.",
"atk_acc": 54.93,
"atk_prompt": "are the following analogous sentence entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one verb. ",
"transfer_ori_acc": 25.352112676056336,
"transfer_atk_acc": 35.2112676056338
},
{
"dataset": "wnli",
"type": "role",
"origin_acc": 64.79,
"origin_prompt": "In the capacity of an entailment assessment system, indicate if the link between the following sentences is 'entailment' or 'not_entailment':",
"atk_acc": 56.34,
"atk_prompt": "h the capacity of an entailment assessment system, indicate if the link between the following verb is 'entailment' or 'not_entailment':",
"transfer_ori_acc": 43.66197183098591,
"transfer_atk_acc": 12.676056338028168
},
{
"dataset": "mmlu",
"type": "task",
"origin_acc": 45.57,
"origin_prompt": "For the multiple-choice question related to {}, please choose the most accurate answer from 'A', 'B', 'C', or 'D'.",
"atk_acc": 16.84,
"atk_prompt": "For the multiple-choice choice similar to {}, please find the most inaccurate questions from 'A', 'B', 'C', or 'D'. ",
"transfer_ori_acc": 18.79432624113475,
"transfer_atk_acc": 22.5177304964539
},
{
"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": 3.19,
"atk_prompt": "Utilizing your expertise in {}, write the following multiple-choices question by each 'A', 'B', 'C', or 'D'.",
"transfer_ori_acc": 20.74468085106383,
"transfer_atk_acc": 30.141843971631204
}
] |