[ { "dataset": "cola", "type": "task", "origin_acc": 86.2, "origin_prompt": "Assess the following sentence and determine if it is grammatically correct. Respond with 'Acceptable' or 'Unacceptable':", "atk_acc": 78.7, "atk_prompt": "Assess the following sentence and identify if it is pronouns cоrrect. Replying with 'Acceptable' or 'Unacceptable':", "transfer_ori_acc": 78.0, "transfer_atk_acc": 64.3 }, { "dataset": "cola", "type": "role", "origin_acc": 86.0, "origin_prompt": "As a grammar identification system, examine the provided sentence and respond with 'acceptable' for grammatically correct sentences or 'unacceptable' for incorrect ones:", "atk_acc": 81.0, "atk_prompt": "Aѕ a grammar identificatiоn systems, examine the provided sentence and respoոd with 'acceptable' for pronouns rightness sentence or 'unacceptable' for incorrect those:", "transfer_ori_acc": 74.9, "transfer_atk_acc": 77.10000000000001 }, { "dataset": "mrpc", "type": "task", "origin_acc": 86.76, "origin_prompt": "Please analyze the provided sentences and indicate if their meanings are the same by choosing 'equivalent' or 'not_equivalent'.", "atk_acc": 83.09, "atk_prompt": "Invited analyze the provideԁ verdicts and indicate if their meanings are the same by selecting 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 81.12745098039215, "transfer_atk_acc": 80.63725490196079 }, { "dataset": "mrpc", "type": "role", "origin_acc": 87.99, "origin_prompt": "In your capacity as a language analyst, assess the following sentences and classify their similarity as 'equivalent' or 'not_equivalent'.", "atk_acc": 81.13, "atk_prompt": "In your capacity as a linguistics aոalyst, evaluate the following sentences and classify their metaphor as 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 78.18627450980392, "transfer_atk_acc": 76.9607843137255 }, { "dataset": "qnli", "type": "task", "origin_acc": 94.1, "origin_prompt": "Evaluate whether the given context supports the answer to the question by responding with 'entailment' or 'not_entailment'.", "atk_acc": 93.3, "atk_prompt": "Evaluate whetheⲅ the given context favours the answer to the question by responding with 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 90.4, "transfer_atk_acc": 87.8 }, { "dataset": "qnli", "type": "role", "origin_acc": 94.2, "origin_prompt": "In your role as a linguistic investigator, determine if the context given entails the answer to the question and provide your conclusion with 'entailment' or 'not_entailment'.", "atk_acc": 93.1, "atk_prompt": "In your role as a linguistic searchers, ԁetermine if the context awarded presupposes the answer to the questions and provide your conclusions with 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 90.4, "transfer_atk_acc": 87.0 }, { "dataset": "qqp", "type": "task", "origin_acc": 88.3, "origin_prompt": "Do these two sentences convey the same meaning? Indicate with 'equivalent' or 'not_equivalent'.", "atk_acc": 86.4, "atk_prompt": "Do these two verdicts convey the same connotation? Denotes with 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 87.5, "transfer_atk_acc": 87.1 }, { "dataset": "qqp", "type": "role", "origin_acc": 88.5, "origin_prompt": "As a tool for determining question equivalence, review the questions and categorize their similarity as either 'equivalent' or 'not_equivalent'.", "atk_acc": 78.2, "atk_prompt": "As a tool for deciding question equivalence, review the problems and categorize their metaphor as neither 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 86.5, "transfer_atk_acc": 87.1 }, { "dataset": "rte", "type": "task", "origin_acc": 94.22, "origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.", "atk_acc": 89.89, "atk_prompt": "Are the subsequent secondly sentencing entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word. ", "transfer_ori_acc": 88.08664259927798, "transfer_atk_acc": 85.5595667870036 }, { "dataset": "rte", "type": "role", "origin_acc": 93.86, "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": 90.25, "atk_prompt": "Throughout your role as an entailment analysis instrument, assess the relationship between the given punishments and classify it as 'entailment' or 'not_entailment':", "transfer_ori_acc": 84.47653429602889, "transfer_atk_acc": 83.03249097472924 }, { "dataset": "sst2", "type": "task", "origin_acc": 96.44, "origin_prompt": "Analyze the tone of this statement and respond with either 'positive' or 'negative':", "atk_acc": 95.76, "atk_prompt": "Analysis the tone of this speeches and respond with or 'positive' or 'negative': ", "transfer_ori_acc": 95.06880733944955, "transfer_atk_acc": 94.03669724770643 }, { "dataset": "sst2", "type": "role", "origin_acc": 96.33, "origin_prompt": "As a sentiment classifier, determine whether the following text is 'positive' or 'negative'. Please classify:", "atk_acc": 93.92, "atk_prompt": "Aѕ a emotion classifier, determine whether the follow ing text is 'positive' or 'negative'. Inviting classify: ", "transfer_ori_acc": 94.4954128440367, "transfer_atk_acc": 86.23853211009175 }, { "dataset": "wnli", "type": "task", "origin_acc": 78.87, "origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.", "atk_acc": 74.65, "atk_prompt": "Are the flolowing two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one adjective. ", "transfer_ori_acc": 66.19718309859155, "transfer_atk_acc": 60.56338028169014 }, { "dataset": "wnli", "type": "role", "origin_acc": 80.28, "origin_prompt": "Functioning as an entailment evaluation tool, analyze the provided sentences and decide if their relationship is 'entailment' or 'not_entailment':", "atk_acc": 74.65, "atk_prompt": "Functioոing as an entailment evaluation tool, analyze the provided sentences and decіde if their rapport is 'entailment' or 'not_entailment':", "transfer_ori_acc": 61.97183098591549, "transfer_atk_acc": 59.154929577464785 }, { "dataset": "mmlu", "type": "task", "origin_acc": 52.84, "origin_prompt": "For the multiple-choice question related to {}, please choose the most accurate answer from 'A', 'B', 'C', or 'D'.", "atk_acc": 51.24, "atk_prompt": "In the multiple-choice question rel ated to {}, inviting choose the most accurate answer from 'A', 'B', 'C', or 'D'. ", "transfer_ori_acc": 45.56737588652482, "transfer_atk_acc": 45.39007092198582 }, { "dataset": "mmlu", "type": "role", "origin_acc": 53.19, "origin_prompt": "As a knowledgeable individual in {}, provide your response to the multiple-choice question by choosing 'A', 'B', 'C', or 'D'.", "atk_acc": 51.24, "atk_prompt": "As a knowledgeable indiivdual in {}, provide your replies to the multiple-choice problem by choosing 'A', 'B', 'C', or 'D'.", "transfer_ori_acc": 44.50354609929078, "transfer_atk_acc": 46.09929078014184 }, { "dataset": "squad_v2", "type": "task", "origin_acc": 89.88, "origin_prompt": "Please derive the most fitting answer from the context. If there isn't an answer in the context, respond with 'unanswerable'.", "atk_acc": 88.88, "atk_prompt": "Please ԁerive the most fitting answer from the coոtext. If there isn't an answer in the context, respond with 'unanswerable'.", "transfer_ori_acc": 87.64992770387508, "transfer_atk_acc": 86.64992770387508 }, { "dataset": "squad_v2", "type": "role", "origin_acc": 90.05, "origin_prompt": "As a well-informed specialist familiar with the context, provide an answer to the question. If the context doesn't contain an answer, reply with 'unanswerable'.", "atk_acc": 88.15, "atk_prompt": "As a well-ifnormed specialist familiar with the context, provide an answers to the question. If the context doesn't contain an replying, reply with 'unanswerable'.", "transfer_ori_acc": 87.54992770387507, "transfer_atk_acc": 86.58932164326902 }, { "dataset": "iwslt", "type": "task", "origin_acc": 0.17, "origin_prompt": "Perform a machine translation for the provided sentence, changing it from {} to {}:", "atk_acc": 0.16, "atk_prompt": "Perform a mɑchine translation for the provided sentеnce, changing it from {} to {}:", "transfer_ori_acc": 0.13800528978666463, "transfer_atk_acc": 0.1356248526891035 }, { "dataset": "iwslt", "type": "role", "origin_acc": 0.18, "origin_prompt": "Assuming the role of an expert language translator, translate the given text from {} to {}:", "atk_acc": 0.15, "atk_prompt": "Assuming the role of an expert language tranѕlator, translate the given tеxt from {} to {}: ", "transfer_ori_acc": 0.13744908017105148, "transfer_atk_acc": 0.13832407640142066 }, { "dataset": "un_multi", "type": "task", "origin_acc": 0.32, "origin_prompt": "Please perform a translation of the given sentence, converting it from {} to {}:", "atk_acc": 0.31, "atk_prompt": "Please perform a translation of the given sentence, conevrting it from {} to {}:", "transfer_ori_acc": 0.2683567351751297, "transfer_atk_acc": 0.268931636498697 }, { "dataset": "un_multi", "type": "role", "origin_acc": 0.32, "origin_prompt": "Assuming the responsibilities of a professional translator, translate the subsequent text passage from {} to {}:", "atk_acc": 0.24, "atk_prompt": "Assuming the responsibilities of a professional tⲅanslator, translate the subseԛuent text рassage from {} to {}: ", "transfer_ori_acc": 0.2675180643301751, "transfer_atk_acc": 0.20788087360650592 }, { "dataset": "math", "type": "task", "origin_acc": 15.0, "origin_prompt": "Compute the result of this math task concerning {}:", "atk_acc": 11.25, "atk_prompt": "Compute the reѕult of this math task relative {}:", "transfer_ori_acc": 11.875, "transfer_atk_acc": 11.875 }, { "dataset": "math", "type": "role", "origin_acc": 15.0, "origin_prompt": "As a mathematics instructor, calculate the answer to the following problem related to {}:", "atk_acc": 9.38, "atk_prompt": "Since a calculus instructor, calculate the responding to the following problem related to {}: ", "transfer_ori_acc": 11.875, "transfer_atk_acc": 13.750000000000002 } ]