[ { "dataset": "cola", "type": "translation", "origin_acc": 81.5, "origin_prompt": "Functioning as a grammar evaluation tool, analyze the given sentence and decide if it is grammatically correct, responding with 'acceptable' or 'unacceptable'.", "atk_acc": 68.5, "atk_prompt": "Classify the grammar of a given sentence as 'acceptable' or 'unacceptable', and judge its accuracy.", "transfer_ori_acc": 23.9, "transfer_atk_acc": 28.7 }, { "dataset": "mrpc", "type": "translation", "origin_acc": 74.5, "origin_prompt": "Compare the following sentences and determine if they share the same semantic meaning by responding with 'equivalent' or 'not_equivalent'.", "atk_acc": 65.0, "atk_prompt": "Based on my experience in semantic analysis, classify the following two sentences between 'equivalent' or 'not_equivalent'.", "transfer_ori_acc": 62.254901960784316, "transfer_atk_acc": 60.5392156862745 }, { "dataset": "qnli", "type": "translation", "origin_acc": 86.0, "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": 71.5, "atk_prompt": "Check the text link to the question and answer 'entailment' or 'not_entailment', depending on your language skills.", "transfer_ori_acc": 31.4, "transfer_atk_acc": 2.0 }, { "dataset": "qqp", "type": "translation", "origin_acc": 84.0, "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": "By analyzing the similarity of these problems, they are divided into categories of 'equivalent' or 'not_equivalent'.", "transfer_ori_acc": 46.9, "transfer_atk_acc": 37.6 }, { "dataset": "rte", "type": "translation", "origin_acc": 84.5, "origin_prompt": "Does the relationship between the given sentences represent entailment or not_entailment? Respond with 'entailment' or 'not_entailment'.", "atk_acc": 80.0, "atk_prompt": "Determine whether the given sentences have a cause-effect relationship as an engagement analysis tool and categorize them as 'entailment' or 'not_entailment'.", "transfer_ori_acc": 46.20938628158845, "transfer_atk_acc": 23.465703971119133 }, { "dataset": "sst2", "type": "translation", "origin_acc": 97.5, "origin_prompt": "In the capacity of a sentiment classifier, decide whether the given quote is 'positive' or 'negative'.", "atk_acc": 68.5, "atk_prompt": "In the context of textual analysis, what classification is this phrase between 'positive' and 'negative'?", "transfer_ori_acc": 20.18348623853211, "transfer_atk_acc": 32.798165137614674 }, { "dataset": "wnli", "type": "translation", "origin_acc": 74.65, "origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.", "atk_acc": 59.15, "atk_prompt": "Determinate the semantic connections of a given sentence and classify it as 'entailment' or 'not_entailment'.", "transfer_ori_acc": 33.80281690140845, "transfer_atk_acc": 4.225352112676056 }, { "dataset": "mmlu", "type": "translation", "origin_acc": 67.0, "origin_prompt": "Please respond to the multiple-choice question about {} by selecting the appropriate answer: 'A', 'B', 'C', or 'D'.", "atk_acc": 63.0, "atk_prompt": "Rate your understanding of the multiple-choice question on {}. Choose the correct answer from options 'A', 'B', 'C' or 'D'.", "transfer_ori_acc": 8.865248226950355, "transfer_atk_acc": 8.156028368794328 } ]