[ { "dataset": "cola", "type": "task", "origin_acc": 80.5, "origin_prompt": "Analyze the provided sentence and classify its grammatical correctness as 'Acceptable' or 'Unacceptable'.", "atk_acc": 67.5, "atk_prompt": "Analysing the provided sentences and classify its pronouns correct as 'Acceptable' or 'Unacceptable'. ", "transfer_ori_acc": 77.10000000000001, "transfer_atk_acc": 66.9 }, { "dataset": "cola", "type": "role", "origin_acc": 81.0, "origin_prompt": "In the role of a syntax analyzer, examine the grammar of the provided sentence and decide if it is correct, answering with 'acceptable' for grammatically correct sentences or 'unacceptable' for incorrect ones.", "atk_acc": 77.5, "atk_prompt": "In the role of a syntax checker, examine the grammɑr of the provided sentence and decide if it is correct, answering with 'acceptable' for grammatically correct sentence or 'unacceptable' for incorrect ones. ", "transfer_ori_acc": 74.2, "transfer_atk_acc": 74.1 }, { "dataset": "mrpc", "type": "task", "origin_acc": 73.0, "origin_prompt": "Assess if the two given sentences have equivalent meanings by selecting 'equivalent' or 'not_equivalent'.", "atk_acc": 68.0, "atk_prompt": "Ass ess if the two gien sentences have equivalent meanings by selecting 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 82.84313725490196, "transfer_atk_acc": 81.61764705882352 }, { "dataset": "mrpc", "type": "role", "origin_acc": 71.5, "origin_prompt": "As a linguistic comparator, review the following pair of sentences and determine their semantic equivalence by choosing 'equivalent' or 'not_equivalent'.", "atk_acc": 64.5, "atk_prompt": "As a linguistic comparator, review the following torque of sentences and determine their semantiϲ eԛuivalence by choosing 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 79.90196078431373, "transfer_atk_acc": 77.69607843137256 }, { "dataset": "qnli", "type": "task", "origin_acc": 85.0, "origin_prompt": "Examine the context and question, and determine if the context logically implies the answer by selecting 'entailment' or 'not_entailment'.", "atk_acc": 76.0, "atk_prompt": "Examine the cntext and question, and determine if the backdrop logically implies the answer by selecting 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 86.5, "transfer_atk_acc": 88.4 }, { "dataset": "qnli", "type": "role", "origin_acc": 83.0, "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": 73.5, "atk_prompt": "Aѕ a semantic researcher, evaluate si the gave framework supports the respond to the question and choose 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 87.3, "transfer_atk_acc": 80.7 }, { "dataset": "qqp", "type": "task", "origin_acc": 82.5, "origin_prompt": "Can these two statements be considered equal in meaning? Answer with 'equivalent' or 'not_equivalent'.", "atk_acc": 80.0, "atk_prompt": "Can these two st atements be considered equal in meaning? Ansԝer with 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 87.6, "transfer_atk_acc": 85.9 }, { "dataset": "qqp", "type": "role", "origin_acc": 82.5, "origin_prompt": "In the capacity of a question assessment system, indicate if the meaning of the provided questions is the same, responding with 'equivalent' or 'not_equivalent'.", "atk_acc": 80.5, "atk_prompt": "In the abilities of a question ɑssessment system, indicate if the meaning of the provided matters is the same, responding with 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 86.1, "transfer_atk_acc": 85.9 }, { "dataset": "rte", "type": "task", "origin_acc": 84.0, "origin_prompt": "Review the two statements and categorize their relationship as either 'entailment' or 'not_entailment'.", "atk_acc": 76.5, "atk_prompt": "Review the two declarations and categorize their relationship as neither 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 84.83754512635379, "transfer_atk_acc": 84.47653429602889 }, { "dataset": "rte", "type": "role", "origin_acc": 83.5, "origin_prompt": "As an entailment identification system, examine the connection between the following sentences and respond with 'entailment' or 'not_entailment'.", "atk_acc": 80.0, "atk_prompt": "As an entailment identification system, eamine the connection between the following sentences and reѕpond with 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 82.67148014440433, "transfer_atk_acc": 83.39350180505414 }, { "dataset": "sst2", "type": "task", "origin_acc": 95.5, "origin_prompt": "After examining the following expression, label its emotion as either 'positive' or 'negative'.", "atk_acc": 74.0, "atk_prompt": "Ater examining the following expression, etiquette its emotion as nor 'positive' or 'negative'. ", "transfer_ori_acc": 93.69266055045871, "transfer_atk_acc": 94.61009174311926 }, { "dataset": "sst2", "type": "role", "origin_acc": 97.5, "origin_prompt": "In the capacity of a sentiment classifier, decide whether the given quote is 'positive' or 'negative'.", "atk_acc": 93.5, "atk_prompt": "Onto the capacity of a feeling classifeir, decide si the given quote is 'positive' or 'negative'. ", "transfer_ori_acc": 94.95412844036697, "transfer_atk_acc": 95.06880733944955 }, { "dataset": "wnli", "type": "task", "origin_acc": 69.01, "origin_prompt": "Indicate if the connection between the following sentences is 'entailment' or 'not_entailment'.", "atk_acc": 61.97, "atk_prompt": "Indicate if the connection between the following sentences is 'entailment' or 'not_entailment' Vq3aBzuZcD. ", "transfer_ori_acc": 64.7887323943662, "transfer_atk_acc": 66.19718309859155 }, { "dataset": "wnli", "type": "role", "origin_acc": 66.2, "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": 59.15, "atk_prompt": "In your role as an entailment analysis tool, assess the relationship between the given sentences and classify it as 'entailment' or 'not_entailment' is77sOXAu8. ", "transfer_ori_acc": 57.74647887323944, "transfer_atk_acc": 57.74647887323944 }, { "dataset": "mmlu", "type": "task", "origin_acc": 67.5, "origin_prompt": "In relation to the multiple-choice question on {}, please provide the accurate answer by choosing 'A', 'B', 'C', or 'D'.", "atk_acc": 61.5, "atk_prompt": "At relationship to the mul𝚝iple-choice question on {}, please proviԁe the accurate responding by choosing 'A', 'B', 'C', or 'D'. ", "transfer_ori_acc": 46.808510638297875, "transfer_atk_acc": 47.16312056737589 }, { "dataset": "mmlu", "type": "role", "origin_acc": 65.5, "origin_prompt": "As someone well-versed in {}, please address the multiple-choice question below by selecting 'A', 'B', 'C', or 'D'.", "atk_acc": 61.5, "atk_prompt": "As someone well-vesred in {}, please address the muⅼtiple-choice questioո below by selecting 'A', 'B', 'C', or 'D'.", "transfer_ori_acc": 46.63120567375886, "transfer_atk_acc": 46.09929078014184 }, { "dataset": "squad_v2", "type": "task", "origin_acc": 72.75, "origin_prompt": "Based on the given context, provide the best possible answer. If there's no answer available in the context, reply with 'unanswerable'.", "atk_acc": 67.93, "atk_prompt": "Based on the giveո context, provide the best pоssible answer. If there's no answer available in the contex𝚝, reply with 'unanswerable'.", "transfer_ori_acc": 87.04992770387507, "transfer_atk_acc": 87.54992770387507 }, { "dataset": "squad_v2", "type": "role", "origin_acc": 70.63, "origin_prompt": "As a proficient expert in the given context, search for the most relevant answer. If the answer cannot be found, respond by saying 'unanswerable'.", "atk_acc": 68.31, "atk_prompt": "As a profcient expert in the given cоntext, search for the most relevant answer. If the anwser cannot be unearthed, respond by saying 'unanswerable'.", "transfer_ori_acc": 87.31659437054175, "transfer_atk_acc": 87.81659437054175 }, { "dataset": "iwslt", "type": "task", "origin_acc": 0.23, "origin_prompt": "Please perform a translation of the given sentence, converting it from {} to {}.", "atk_acc": 0.23, "atk_prompt": "Pⅼease perform a translating of the givеn sentence, conversion it from {} to {}. ", "transfer_ori_acc": 0.22004054628058534, "transfer_atk_acc": 0.22116640313338157 }, { "dataset": "iwslt", "type": "role", "origin_acc": 0.24, "origin_prompt": "Assuming the responsibilities of a professional translator, translate the subsequent text passage from {} to {}.", "atk_acc": 0.23, "atk_prompt": "Assuminɡ the responsibilities of a professional transla𝚝or, translate the subsequent text passage from {} to {}. ", "transfer_ori_acc": 0.22030199520456395, "transfer_atk_acc": 0.22054117249828195 }, { "dataset": "un_multi", "type": "task", "origin_acc": 0.35, "origin_prompt": "Please perform a translation of the given sentence, converting it from {} to {}.", "atk_acc": 0.35, "atk_prompt": "Plеase perform a translation of the given sentence, convert it from {} to {}. ", "transfer_ori_acc": 0.3076276888167265, "transfer_atk_acc": 0.306696536710457 }, { "dataset": "un_multi", "type": "role", "origin_acc": 0.35, "origin_prompt": "As a qualified translator, convert the given sentence from its original {} language to the target language {}.", "atk_acc": 0.34, "atk_prompt": "As a eligible translator, convert the given sentence from its orіginal {} language to the tarɡet language {}. ", "transfer_ori_acc": 0.31127691224033316, "transfer_atk_acc": 0.3058942177709969 }, { "dataset": "math", "type": "task", "origin_acc": 23.12, "origin_prompt": "Calculate the answer to the following math query about {}.", "atk_acc": 20.62, "atk_prompt": "Calculate the answer to the 𝚏ollowing math query about {}. ", "transfer_ori_acc": 16.25, "transfer_atk_acc": 16.875 }, { "dataset": "math", "type": "role", "origin_acc": 22.5, "origin_prompt": "As a mathematics instructor, calculate the answer to the following problem related to {}.", "atk_acc": 19.38, "atk_prompt": "Since a mathematics istructor, calculate the answer to the following problem related to {}. ", "transfer_ori_acc": 17.5, "transfer_atk_acc": 17.5 } ]