[ { "dataset": "cola", "type": "task", "origin_acc": 86.4, "origin_prompt": "Examine the given sentence and decide if it is grammatically sound. Answer with either 'Acceptable' or 'Unacceptable'.", "atk_acc": 39.5, "atk_prompt": "Inspect the made condemning and select if it is grammatically healthier. Answers with either 'Acceptable' or 'Unacceptable'. ", "transfer_ori_acc": 0.8999999999999999, "transfer_atk_acc": 5.800000000000001 }, { "dataset": "cola", "type": "role", "origin_acc": 86.6, "origin_prompt": "While performing grammar analysis, classify the grammar of the following sentence as 'acceptable' for correct grammar or 'unacceptable' for incorrect grammar.", "atk_acc": 73.0, "atk_prompt": "While performing grammar scans, classify the verbs of the afterward condemned as 'acceptable' for correctness grammar or 'unacceptable' for inappropriate vocabulary. ", "transfer_ori_acc": 49.9, "transfer_atk_acc": 7.7 }, { "dataset": "mrpc", "type": "task", "origin_acc": 86.52, "origin_prompt": "Compare the following sentences and determine if they share the same semantic meaning by responding with 'equivalent' or 'not_equivalent'.", "atk_acc": 83.58, "atk_prompt": "Compare the later judgements and defines if they exchange the same semantic sensation by answered with 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 62.254901960784316, "transfer_atk_acc": 72.05882352941177 }, { "dataset": "mrpc", "type": "role", "origin_acc": 89.22, "origin_prompt": "As a sentence similarity evaluator, analyze the provided sentences and indicate if their meanings are 'equivalent' or 'not_equivalent'.", "atk_acc": 85.29, "atk_prompt": "As a sentence metaphor evaluator, analyze the brought priors and demonstrating if their meanings are 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 68.13725490196079, "transfer_atk_acc": 70.58823529411765 }, { "dataset": "qnli", "type": "task", "origin_acc": 94.0, "origin_prompt": "Analyze the context and question, and indicate if the context entails the answer by choosing 'entailment' or 'not_entailment'.", "atk_acc": 54.2, "atk_prompt": "Explore the context and question, and suggest if the context involves the rebuttal by selected 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 35.0, "transfer_atk_acc": 21.0 }, { "dataset": "qnli", "type": "role", "origin_acc": 93.9, "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": 61.5, "atk_prompt": "Because a semantic inquisitors, appraise whether the provided context alleges the rebuttal to the issuing and selector 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 41.6, "transfer_atk_acc": 36.7 }, { "dataset": "qqp", "type": "task", "origin_acc": 88.7, "origin_prompt": "Examine the following expressions and tell me if they are alike in meaning by using 'equivalent' or 'not_equivalent'.", "atk_acc": 85.9, "atk_prompt": "Examine the afterward words and saying me if they are uniformly in connotation by using 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 44.9, "transfer_atk_acc": 34.0 }, { "dataset": "qqp", "type": "role", "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": 87.6, "atk_prompt": "Because a tool for determining question equivalence, examination the queries and classifications their likeness as either 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 31.7, "transfer_atk_acc": 31.2 }, { "dataset": "rte", "type": "task", "origin_acc": 93.5, "origin_prompt": "Identify whether the given pair of sentences demonstrates entailment or not_entailment. Answer with 'entailment' or 'not_entailment'.", "atk_acc": 92.42, "atk_prompt": "Deciding whether the given pair of sentencing demonstrates entailment or not_entailment. Answer with 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 7.2202166064981945, "transfer_atk_acc": 47.292418772563174 }, { "dataset": "rte", "type": "role", "origin_acc": 93.5, "origin_prompt": "As a tool for determining entailment relationships, review the two statements and categorize their connection as either 'entailment' or 'not_entailment'.", "atk_acc": 91.34, "atk_prompt": "Because a device for determining entailment relationships, review the two words and categorize their connection as either 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 28.158844765342963, "transfer_atk_acc": 9.025270758122744 }, { "dataset": "sst2", "type": "task", "origin_acc": 96.79, "origin_prompt": "Determine the overall sentiment of this sentence, categorizing it as 'positive' or 'negative'.", "atk_acc": 93.46, "atk_prompt": "Determine the plenary senses of this condemning, categorizing it as 'positive' or 'negative'. ", "transfer_ori_acc": 0.573394495412844, "transfer_atk_acc": 1.6055045871559634 }, { "dataset": "sst2", "type": "role", "origin_acc": 96.56, "origin_prompt": "As a sentiment classifier, determine whether the following text is 'positive' or 'negative'.", "atk_acc": 95.18, "atk_prompt": "As a emotion classifier, ascertain whether the suite wording is 'positive' or 'negative'. ", "transfer_ori_acc": 15.36697247706422, "transfer_atk_acc": 18.807339449541285 }, { "dataset": "wnli", "type": "task", "origin_acc": 77.46, "origin_prompt": "Assess the connection between the following sentences and classify it as 'entailment' or 'not_entailment'.", "atk_acc": 73.24, "atk_prompt": "Appraisal the attach between the suite condemns and classify it as 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 19.718309859154928, "transfer_atk_acc": 7.042253521126761 }, { "dataset": "wnli", "type": "role", "origin_acc": 76.06, "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": 73.24, "atk_prompt": "In your role as an entailment analysis tool, assess the reports between the given sentences and classify it as 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 23.943661971830984, "transfer_atk_acc": 23.943661971830984 }, { "dataset": "mmlu", "type": "task", "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": 24.82, "atk_prompt": "Within the multiple-choice item relevant to {}, please decides the most careful rebuttal from 'A', 'B', 'C', or 'D'. ", "transfer_ori_acc": 7.2695035460992905, "transfer_atk_acc": 6.560283687943262 }, { "dataset": "mmlu", "type": "role", "origin_acc": 53.72, "origin_prompt": "As an expert in {}, respond to the following multiple-choice question by selecting 'A', 'B', 'C', or 'D'.", "atk_acc": 51.95, "atk_prompt": "As an whiz in {}, respond to the following multiple-choice question by decided 'A', 'B', 'C', or 'D'.", "transfer_ori_acc": 9.042553191489363, "transfer_atk_acc": 10.28368794326241 } ]