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from opencompass.openicl.icl_prompt_template import PromptTemplate |
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from opencompass.openicl.icl_retriever import FixKRetriever |
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from opencompass.openicl.icl_inferencer import GenInferencer |
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from opencompass.openicl.icl_evaluator import AccEvaluator |
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from opencompass.datasets import CMMLUDataset |
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from opencompass.utils.text_postprocessors import first_capital_postprocess |
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cmmlu_subject_mapping = { |
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'agronomy': '农学', |
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'anatomy': '解剖学', |
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'ancient_chinese': '古汉语', |
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'arts': '艺术学', |
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'astronomy': '天文学', |
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'business_ethics': '商业伦理', |
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'chinese_civil_service_exam': '中国公务员考试', |
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'chinese_driving_rule': '中国驾驶规则', |
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'chinese_food_culture': '中国饮食文化', |
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'chinese_foreign_policy': '中国外交政策', |
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'chinese_history': '中国历史', |
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'chinese_literature': '中国文学', |
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'chinese_teacher_qualification': '中国教师资格', |
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'clinical_knowledge': '临床知识', |
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'college_actuarial_science': '大学精算学', |
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'college_education': '大学教育学', |
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'college_engineering_hydrology': '大学工程水文学', |
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'college_law': '大学法律', |
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'college_mathematics': '大学数学', |
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'college_medical_statistics': '大学医学统计', |
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'college_medicine': '大学医学', |
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'computer_science': '计算机科学', |
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'computer_security': '计算机安全', |
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'conceptual_physics': '概念物理学', |
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'construction_project_management': '建设工程管理', |
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'economics': '经济学', |
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'education': '教育学', |
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'electrical_engineering': '电气工程', |
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'elementary_chinese': '小学语文', |
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'elementary_commonsense': '小学常识', |
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'elementary_information_and_technology': '小学信息技术', |
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'elementary_mathematics': '初等数学', |
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'ethnology': '民族学', |
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'food_science': '食品科学', |
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'genetics': '遗传学', |
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'global_facts': '全球事实', |
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'high_school_biology': '高中生物', |
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'high_school_chemistry': '高中化学', |
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'high_school_geography': '高中地理', |
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'high_school_mathematics': '高中数学', |
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'high_school_physics': '高中物理学', |
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'high_school_politics': '高中政治', |
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'human_sexuality': '人类性行为', |
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'international_law': '国际法学', |
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'journalism': '新闻学', |
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'jurisprudence': '法理学', |
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'legal_and_moral_basis': '法律与道德基础', |
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'logical': '逻辑学', |
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'machine_learning': '机器学习', |
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'management': '管理学', |
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'marketing': '市场营销', |
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'marxist_theory': '马克思主义理论', |
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'modern_chinese': '现代汉语', |
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'nutrition': '营养学', |
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'philosophy': '哲学', |
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'professional_accounting': '专业会计', |
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'professional_law': '专业法学', |
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'professional_medicine': '专业医学', |
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'professional_psychology': '专业心理学', |
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'public_relations': '公共关系', |
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'security_study': '安全研究', |
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'sociology': '社会学', |
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'sports_science': '体育学', |
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'traditional_chinese_medicine': '中医中药', |
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'virology': '病毒学', |
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'world_history': '世界历史', |
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'world_religions': '世界宗教' |
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} |
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cmmlu_all_sets = list(cmmlu_subject_mapping.keys()) |
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cmmlu_datasets = [] |
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for _name in cmmlu_all_sets: |
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_ch_name = cmmlu_subject_mapping[_name] |
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cmmlu_infer_cfg = dict( |
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ice_template=dict( |
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type=PromptTemplate, |
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template=dict( |
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begin="</E>", |
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round=[ |
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dict( |
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role="HUMAN", |
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prompt= |
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f"以下是关于{_ch_name}的单项选择题,请直接给出正确答案的选项。\n题目:{{question}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}" |
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), |
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dict(role="BOT", prompt='答案是: {answer}'), |
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]), |
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ice_token="</E>", |
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), |
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4]), |
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inferencer=dict(type=GenInferencer), |
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) |
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cmmlu_eval_cfg = dict( |
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evaluator=dict(type=AccEvaluator), |
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pred_postprocessor=dict(type=first_capital_postprocess)) |
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cmmlu_datasets.append( |
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dict( |
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type=CMMLUDataset, |
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path="./data/cmmlu/", |
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name=_name, |
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abbr=f"cmmlu-{_name}", |
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reader_cfg=dict( |
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input_columns=["question", "A", "B", "C", "D"], |
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output_column="answer", |
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train_split="dev", |
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test_split='test'), |
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infer_cfg=cmmlu_infer_cfg, |
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eval_cfg=cmmlu_eval_cfg, |
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)) |
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del _name, _ch_name |
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