[ { "dataset": "cola", "type": "translation", "origin_acc": 65.2, "origin_prompt": "Determine if the grammar of the given sentence is 'Acceptable' or 'Unacceptable'.", "atk_acc": 5.3, "atk_prompt": "Please check that the following sentences are grammatically correct and categorize them as 'acceptable' or 'unacceptable'.", "transfer_ori_acc": 86.1, "transfer_atk_acc": 86.6 }, { "dataset": "mrpc", "type": "translation", "origin_acc": 69.36, "origin_prompt": "Determine if the meanings of the following sentences are semantically equivalent by responding with 'equivalent' or 'not_equivalent'.", "atk_acc": 54.9, "atk_prompt": "As a semantic comparison specialist, analyze the two data statements and insert them into one of the following categories: 'equivalent' or 'not_equivalent'.", "transfer_ori_acc": 84.55882352941177, "transfer_atk_acc": 85.7843137254902 }, { "dataset": "qnli", "type": "translation", "origin_acc": 42.9, "origin_prompt": "As a linguistic consultant, decide if the answer to the question is logically supported by the provided context and respond with 'entailment' or 'not_entailment'.", "atk_acc": 1.6, "atk_prompt": "Grasp the relations between sentences, determine if a given sentence necessarily contains the meaning of another sentence and respond with 'entailment' or 'not_entailment'.", "transfer_ori_acc": 93.10000000000001, "transfer_atk_acc": 93.8 }, { "dataset": "qqp", "type": "translation", "origin_acc": 41.8, "origin_prompt": "Do the following expressions mean the same thing? Provide your answer as 'equivalent' or 'not_equivalent'.", "atk_acc": 21.7, "atk_prompt": "For text classification tasks, use the labels 'equivalent' or 'not_equivalent' to determine the equivalence of statements.", "transfer_ori_acc": 88.1, "transfer_atk_acc": 88.7 }, { "dataset": "rte", "type": "translation", "origin_acc": 50.54, "origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.", "atk_acc": 3.97, "atk_prompt": "Using implication analysis, determine whether the given sentences have a cause-effect relationship and categorize them as 'entailment' or 'not_entailment'.", "transfer_ori_acc": 93.14079422382672, "transfer_atk_acc": 92.7797833935018 }, { "dataset": "sst2", "type": "translation", "origin_acc": 33.37, "origin_prompt": "Taking on the role of an emotion classifier, specify if the provided phrase is 'positive' or 'negative'.", "atk_acc": 0.46, "atk_prompt": "Please determine whether the emotion of the sentence is 'positive' or 'negative' and categorize it.", "transfer_ori_acc": 95.18348623853211, "transfer_atk_acc": 94.38073394495413 }, { "dataset": "wnli", "type": "translation", "origin_acc": 32.39, "origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.", "atk_acc": 0.0, "atk_prompt": "Using implication analysis, determine whether the given sentences have a cause-effect relationship and categorize them as 'entailment' or 'not_entailment'.", "transfer_ori_acc": 76.05633802816901, "transfer_atk_acc": 74.64788732394366 }, { "dataset": "mmlu", "type": "translation", "origin_acc": 10.39, "origin_prompt": "Answer the following multiple-choice question about {} by selecting the correct option: 'A', 'B', 'C', or 'D'.", "atk_acc": 4.43, "atk_prompt": "Choose the correct answer from the options 'A', 'B', 'C', or 'D' for the following questions about {}.", "transfer_ori_acc": 53.90070921985816, "transfer_atk_acc": 54.07801418439716 } ]