peacock-data-public-datasets-idc-llm_eval
/
lm-evaluation
/lm_eval
/tasks
/cmmlu
/_generate_configs.py
""" | |
Take in a YAML, and output all other splits with this YAML | |
""" | |
import argparse | |
import os | |
import yaml | |
from tqdm import tqdm | |
from lm_eval.utils import eval_logger | |
SUBJECTS = { | |
"agronomy": "农学", | |
"anatomy": "解剖学", | |
"ancient_chinese": "古汉语", | |
"arts": "艺术学", | |
"astronomy": "天文学", | |
"business_ethics": "商业伦理", | |
"chinese_civil_service_exam": "中国公务员考试", | |
"chinese_driving_rule": "中国驾驶规则", | |
"chinese_food_culture": "中国饮食文化", | |
"chinese_foreign_policy": "中国外交政策", | |
"chinese_history": "中国历史", | |
"chinese_literature": "中国文学", | |
"chinese_teacher_qualification": "中国教师资格", | |
"clinical_knowledge": "临床知识", | |
"college_actuarial_science": "大学精算学", | |
"college_education": "大学教育学", | |
"college_engineering_hydrology": "大学工程水文学", | |
"college_law": "大学法律", | |
"college_mathematics": "大学数学", | |
"college_medical_statistics": "大学医学统计", | |
"college_medicine": "大学医学", | |
"computer_science": "计算机科学", | |
"computer_security": "计算机安全", | |
"conceptual_physics": "概念物理学", | |
"construction_project_management": "建设工程管理", | |
"economics": "经济学", | |
"education": "教育学", | |
"electrical_engineering": "电气工程", | |
"elementary_chinese": "小学语文", | |
"elementary_commonsense": "小学常识", | |
"elementary_information_and_technology": "小学信息技术", | |
"elementary_mathematics": "初等数学", | |
"ethnology": "民族学", | |
"food_science": "食品科学", | |
"genetics": "遗传学", | |
"global_facts": "全球事实", | |
"high_school_biology": "高中生物", | |
"high_school_chemistry": "高中化学", | |
"high_school_geography": "高中地理", | |
"high_school_mathematics": "高中数学", | |
"high_school_physics": "高中物理学", | |
"high_school_politics": "高中政治", | |
"human_sexuality": "人类性行为", | |
"international_law": "国际法学", | |
"journalism": "新闻学", | |
"jurisprudence": "法理学", | |
"legal_and_moral_basis": "法律与道德基础", | |
"logical": "逻辑学", | |
"machine_learning": "机器学习", | |
"management": "管理学", | |
"marketing": "市场营销", | |
"marxist_theory": "马克思主义理论", | |
"modern_chinese": "现代汉语", | |
"nutrition": "营养学", | |
"philosophy": "哲学", | |
"professional_accounting": "专业会计", | |
"professional_law": "专业法学", | |
"professional_medicine": "专业医学", | |
"professional_psychology": "专业心理学", | |
"public_relations": "公共关系", | |
"security_study": "安全研究", | |
"sociology": "社会学", | |
"sports_science": "体育学", | |
"traditional_chinese_medicine": "中医中药", | |
"virology": "病毒学", | |
"world_history": "世界历史", | |
"world_religions": "世界宗教", | |
} | |
def parse_args(): | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--base_yaml_path", required=True) | |
parser.add_argument("--save_prefix_path", default="cmmlu") | |
parser.add_argument("--cot_prompt_path", default=None) | |
parser.add_argument("--task_prefix", default="") | |
return parser.parse_args() | |
if __name__ == "__main__": | |
args = parse_args() | |
# get filename of base_yaml so we can `"include": ` it in our other YAMLs. | |
base_yaml_name = os.path.split(args.base_yaml_path)[-1] | |
with open(args.base_yaml_path, encoding="utf-8") as f: | |
base_yaml = yaml.full_load(f) | |
if args.cot_prompt_path is not None: | |
import json | |
with open(args.cot_prompt_path, encoding="utf-8") as f: | |
cot_file = json.load(f) | |
for subject_eng, subject_zh in tqdm(SUBJECTS.items()): | |
if args.cot_prompt_path is not None: | |
description = cot_file[subject_eng] | |
else: | |
description = ( | |
f"以下是关于{subject_zh}的单项选择题,请直接给出正确答案的选项。\n\n" | |
) | |
yaml_dict = { | |
"include": base_yaml_name, | |
"task": f"cmmlu_{args.task_prefix}_{subject_eng}" | |
if args.task_prefix != "" | |
else f"cmmlu_{subject_eng}", | |
"dataset_name": subject_eng, | |
"description": description, | |
} | |
file_save_path = args.save_prefix_path + f"_{subject_eng}.yaml" | |
eval_logger.info(f"Saving yaml for subset {subject_eng} to {file_save_path}") | |
with open(file_save_path, "w", encoding="utf-8") as yaml_file: | |
yaml.dump( | |
yaml_dict, | |
yaml_file, | |
width=float("inf"), | |
allow_unicode=True, | |
default_style='"', | |
) | |