[ { "dataset": "cola", "type": "translation", "origin_acc": 86.9, "origin_prompt": "In the capacity of a grammar assessment system, indicate if the structure of the provided sentence is grammatically correct, responding with 'acceptable' or 'unacceptable'.", "atk_acc": 84.6, "atk_prompt": "As a tool for assessing semantic relevance, categorize the sentence as 'acceptable' or 'unacceptable' according to its meaning and context.", "transfer_ori_acc": 30.5, "transfer_atk_acc": 27.0 }, { "dataset": "mrpc", "type": "translation", "origin_acc": 88.97, "origin_prompt": "As a sentence similarity evaluator, analyze the provided sentences and indicate if their meanings are 'equivalent' or 'not_equivalent'.", "atk_acc": 84.07, "atk_prompt": "Whether a given pair of sentences is 'equivalent' or 'not_equivalent' depends on the context.", "transfer_ori_acc": 68.13725490196079, "transfer_atk_acc": 66.17647058823529 }, { "dataset": "qnli", "type": "translation", "origin_acc": 94.5, "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": 83.0, "atk_prompt": "By analyzing the relations between sentences, determine if a given sentence does not necessarily include other sentences and answer with 'entailment' or 'not_entailment'.", "transfer_ori_acc": 32.4, "transfer_atk_acc": 35.4 }, { "dataset": "qqp", "type": "translation", "origin_acc": 90.0, "origin_prompt": "As a tool for determining question equivalence, review the questions and categorize their similarity as either 'equivalent' or 'not_equivalent'.", "atk_acc": 87.7, "atk_prompt": "Classify sentence equivalence as 'equivalent' or 'not_equivalent' by judging whether two sentences have the same meaning to each other.", "transfer_ori_acc": 31.7, "transfer_atk_acc": 39.2 }, { "dataset": "rte", "type": "translation", "origin_acc": 93.86, "origin_prompt": "Working as an entailment classifier, identify whether the given pair of sentences displays entailment or not_entailment. Respond with 'entailment' or 'not_entailment'.", "atk_acc": 90.61, "atk_prompt": "Examine the semantic match of a given sentence and categorize it as 'entailment' or 'not_entailment'.", "transfer_ori_acc": 6.4981949458483745, "transfer_atk_acc": 39.71119133574007 }, { "dataset": "sst2", "type": "translation", "origin_acc": 96.9, "origin_prompt": "Working as a sentiment analyzer, please indicate if the following text is 'positive' or 'negative'.", "atk_acc": 94.38, "atk_prompt": "As an emotion analysis tool, determine whether the emotion in the text is 'positive' or 'negative'.", "transfer_ori_acc": 1.0321100917431194, "transfer_atk_acc": 5.275229357798166 }, { "dataset": "wnli", "type": "translation", "origin_acc": 77.46, "origin_prompt": "Assess the connection between the following sentences and classify it as 'entailment' or 'not_entailment'.", "atk_acc": 74.65, "atk_prompt": "For the purpose of determining implicative relations, analyze the relations of the following sentences and classify them as 'entailment' or 'not_entailment'.", "transfer_ori_acc": 19.718309859154928, "transfer_atk_acc": 0.0 }, { "dataset": "mmlu", "type": "translation", "origin_acc": 54.08, "origin_prompt": "For the multiple-choice question related to {}, please choose the most accurate answer from 'A', 'B', 'C', or 'D'.", "atk_acc": 51.95, "atk_prompt": "Choose the correct answer to the multiple-choice question below. Is '{}' an 'A', 'B', 'C', or 'D'.", "transfer_ori_acc": 7.2695035460992905, "transfer_atk_acc": 8.156028368794328 } ]