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[
{
"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": 75.2,
"transfer_atk_acc": 75.8
},
{
"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": 80.3921568627451,
"transfer_atk_acc": 81.61764705882352
},
{
"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": 88.8,
"transfer_atk_acc": 56.699999999999996
},
{
"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": 86.1,
"transfer_atk_acc": 87.5
},
{
"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": 83.75451263537906,
"transfer_atk_acc": 84.47653429602889
},
{
"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": 94.95412844036697,
"transfer_atk_acc": 94.61009174311926
},
{
"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": 67.6056338028169,
"transfer_atk_acc": 54.929577464788736
},
{
"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": 45.21276595744681,
"transfer_atk_acc": 45.56737588652482
},
{
"dataset": "squad_v2",
"type": "translation",
"origin_acc": 74.58,
"origin_prompt": "Please derive the most fitting answer from the context. If there isn't an answer in the context, use 'unanswerable'.",
"atk_acc": 67.46,
"atk_prompt": "Please provide additional information about the facts mentioned in this sentence. If no information is available, respond with 'unanswerable'.",
"transfer_ori_acc": 87.04992770387507,
"transfer_atk_acc": 86.92265497660236
},
{
"dataset": "iwslt",
"type": "translation",
"origin_acc": 0.24,
"origin_prompt": "Convert the following sentence from its original {} language to the target language {}.",
"atk_acc": 0.17,
"atk_prompt": "Please translate the sentences below into {}, then {}.",
"transfer_ori_acc": 0.2240211126734209,
"transfer_atk_acc": 0.20150103267232944
},
{
"dataset": "un_multi",
"type": "translation",
"origin_acc": 0.36,
"origin_prompt": "Translate the following text from the source language {} to the target language {}.",
"atk_acc": 0.25,
"atk_prompt": "Please translate the following sentences into {}, then {}.",
"transfer_ori_acc": 0.3090347352409074,
"transfer_atk_acc": 0.3050833075162871
},
{
"dataset": "math",
"type": "translation",
"origin_acc": 23.12,
"origin_prompt": "Compute the result of this math task concerning {}.",
"atk_acc": 18.75,
"atk_prompt": "Please calculate the answers related to {}.",
"transfer_ori_acc": 16.25,
"transfer_atk_acc": 16.875
}
] |