mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-12-14 10:56:56 +08:00
hiyouga
@@ -92,14 +92,14 @@ task_list = [
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]
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class CevalExamConfig(datasets.BuilderConfig):
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class CevalConfig(datasets.BuilderConfig):
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def __init__(self, **kwargs):
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super().__init__(version=datasets.Version("1.0.0"), **kwargs)
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class CevalExam(datasets.GeneratorBasedBuilder):
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class Ceval(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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CevalExamConfig(
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CevalConfig(
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name=task_name,
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)
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for task_name in task_list
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163
evaluation/cmmlu/cmmlu.py
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163
evaluation/cmmlu/cmmlu.py
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@@ -0,0 +1,163 @@
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import datasets
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import pandas as pd
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_CITATION = """\
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@article{li2023cmmlu,
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title={CMMLU: Measuring massive multitask language understanding in Chinese},
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author={Haonan Li and Yixuan Zhang and Fajri Koto and Yifei Yang and Hai Zhao and Yeyun Gong and Nan Duan and Timothy Baldwin},
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journal={arXiv preprint arXiv:2306.09212},
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year={2023}
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}
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"""
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_DESCRIPTION = """\
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CMMLU is a comprehensive Chinese assessment suite specifically designed to evaluate the advanced knowledge and reasoning abilities of LLMs within the Chinese language and cultural context.
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"""
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_HOMEPAGE = "https://github.com/haonan-li/CMMLU"
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_LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License"
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_URL = "cmmlu.zip"
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task_list = [
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'agronomy',
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'anatomy',
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'ancient_chinese',
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'arts',
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'astronomy',
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'business_ethics',
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'chinese_civil_service_exam',
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'chinese_driving_rule',
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'chinese_food_culture',
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'chinese_foreign_policy',
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'chinese_history',
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'chinese_literature',
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'chinese_teacher_qualification',
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'clinical_knowledge',
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'college_actuarial_science',
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'college_education',
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'college_engineering_hydrology',
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'college_law',
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'college_mathematics',
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'college_medical_statistics',
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'college_medicine',
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'computer_science',
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'computer_security',
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'conceptual_physics',
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'construction_project_management',
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'economics',
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'education',
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'electrical_engineering',
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'elementary_chinese',
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'elementary_commonsense',
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'elementary_information_and_technology',
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'elementary_mathematics',
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'ethnology',
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'food_science',
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'genetics',
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'global_facts',
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'high_school_biology',
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'high_school_chemistry',
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'high_school_geography',
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'high_school_mathematics',
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'high_school_physics',
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'high_school_politics',
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'human_sexuality',
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'international_law',
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'journalism',
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'jurisprudence',
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'legal_and_moral_basis',
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'logical',
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'machine_learning',
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'management',
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'marketing',
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'marxist_theory',
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'modern_chinese',
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'nutrition',
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'philosophy',
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'professional_accounting',
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'professional_law',
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'professional_medicine',
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'professional_psychology',
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'public_relations',
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'security_study',
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'sociology',
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'sports_science',
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'traditional_chinese_medicine',
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'virology',
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'world_history',
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'world_religions',
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]
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class CMMLUConfig(datasets.BuilderConfig):
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def __init__(self, **kwargs):
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super().__init__(version=datasets.Version("1.0.1"), **kwargs)
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class CMMLU(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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CMMLUConfig(
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name=task_name,
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)
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for task_name in task_list
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]
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def _info(self):
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features = datasets.Features(
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{
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"question": datasets.Value("string"),
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"A": datasets.Value("string"),
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"B": datasets.Value("string"),
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"C": datasets.Value("string"),
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"D": datasets.Value("string"),
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"answer": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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data_dir = dl_manager.download_and_extract(_URL)
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task_name = self.config.name
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"filepath": os.path.join(data_dir, f"test/{task_name}.csv"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": os.path.join(data_dir, f"dev/{task_name}.csv"),
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},
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),
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]
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def _generate_examples(self, filepath):
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df = pd.read_csv(filepath, header=0, index_col=0, encoding="utf-8")
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for i, instance in enumerate(df.to_dict(orient="records")):
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yield i, instance
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BIN
evaluation/cmmlu/cmmlu.zip
Normal file
BIN
evaluation/cmmlu/cmmlu.zip
Normal file
Binary file not shown.
270
evaluation/cmmlu/mapping.json
Normal file
270
evaluation/cmmlu/mapping.json
Normal file
@@ -0,0 +1,270 @@
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{
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"agronomy": {
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"name": "农学",
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"category": "Other"
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},
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"anatomy": {
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"name": "解剖学",
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"category": "STEM"
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},
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"ancient_chinese": {
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"name": "古汉语",
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"category": "Social Sciences"
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},
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"arts": {
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"name": "艺术学",
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"category": "Humanities"
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},
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"astronomy": {
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"name": "天文学",
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"category": "STEM"
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},
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"business_ethics": {
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"name": "商业伦理",
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"category": "Social Sciences"
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},
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"chinese_civil_service_exam": {
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"name": "中国公务员考试",
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"category": "Social Sciences"
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},
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"chinese_driving_rule": {
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"name": "中国驾驶规则",
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"category": "Other"
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},
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"chinese_food_culture": {
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"name": "中国饮食文化",
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"category": "Social Sciences"
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},
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"chinese_foreign_policy": {
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"name": "中国外交政策",
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"category": "Social Sciences"
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},
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"chinese_history": {
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"name": "中国历史",
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"category": "Humanities"
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},
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"chinese_literature": {
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"name": "中国文学",
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"category": "Humanities"
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},
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"chinese_teacher_qualification": {
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"name": "中国教师资格",
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"category": "Social Sciences"
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},
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"college_actuarial_science": {
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"name": "大学精算学",
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"category": "STEM"
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},
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"college_education": {
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"name": "大学教育学",
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"category": "Social Sciences"
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},
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"college_engineering_hydrology": {
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"name": "大学工程水文学",
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"category": "STEM"
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},
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"college_law": {
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"name": "大学法律",
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"category": "Humanities"
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},
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"college_mathematics": {
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"name": "大学数学",
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"category": "STEM"
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},
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"college_medical_statistics": {
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"name": "大学医学统计",
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"category": "STEM"
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},
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"clinical_knowledge": {
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"name": "临床知识",
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"category": "Other"
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},
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"college_medicine": {
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"name": "大学医学",
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"category": "Other"
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},
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"computer_science": {
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"name": "计算机科学",
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"category": "STEM"
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},
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"computer_security": {
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"name": "计算机安全",
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"category": "Other"
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},
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"conceptual_physics": {
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"name": "概念物理学",
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"category": "STEM"
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},
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"construction_project_management": {
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"name": "建设工程管理",
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"category": "Other"
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},
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"economics": {
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"name": "经济学",
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"category": "Social Sciences"
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},
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"education": {
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"name": "教育学",
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"category": "Social Sciences"
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},
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"elementary_chinese": {
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"name": "小学语文",
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"category": "Social Sciences"
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},
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"elementary_commonsense": {
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"name": "小学常识",
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"category": "Other"
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},
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"elementary_information_and_technology": {
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"name": "小学信息技术",
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"category": "Other"
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},
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"electrical_engineering": {
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"name": "电气工程",
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"category": "STEM"
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},
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"elementary_mathematics": {
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"name": "初等数学",
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"category": "STEM"
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},
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"ethnology": {
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"name": "民族学",
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"category": "Social Sciences"
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},
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"food_science": {
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"name": "食品科学",
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"category": "Other"
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},
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"genetics": {
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"name": "遗传学",
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"category": "STEM"
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},
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"global_facts": {
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"name": "全球事实",
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"category": "Humanities"
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},
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"high_school_biology": {
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"name": "高中生物",
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"category": "STEM"
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},
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"high_school_chemistry": {
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"name": "高中化学",
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"category": "STEM"
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},
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"high_school_geography": {
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"name": "高中地理",
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"category": "Social Sciences"
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},
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"high_school_mathematics": {
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"name": "高中数学",
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"category": "STEM"
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},
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"high_school_physics": {
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"name": "高中物理学",
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"category": "STEM"
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},
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"high_school_politics": {
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"name": "高中政治",
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"category": "Social Sciences"
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},
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"human_sexuality": {
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"name": "人类性行为",
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"category": "Other"
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},
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"international_law": {
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"name": "国际法学",
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"category": "Humanities"
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},
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"journalism": {
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"name": "新闻学",
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"category": "Social Sciences"
|
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},
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"jurisprudence": {
|
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"name": "法理学",
|
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"category": "Humanities"
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},
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"legal_and_moral_basis": {
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"name": "法律与道德基础",
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"category": "Other"
|
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},
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"logical": {
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"name": "逻辑学",
|
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"category": "Humanities"
|
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},
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"machine_learning": {
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"name": "机器学习",
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"category": "STEM"
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},
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"management": {
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"name": "管理学",
|
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"category": "Social Sciences"
|
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},
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"marketing": {
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"name": "市场营销",
|
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"category": "Social Sciences"
|
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},
|
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"marxist_theory": {
|
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"name": "马克思主义理论",
|
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"category": "Humanities"
|
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},
|
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"modern_chinese": {
|
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"name": "现代汉语",
|
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"category": "Social Sciences"
|
||||
},
|
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"nutrition": {
|
||||
"name": "营养学",
|
||||
"category": "Other"
|
||||
},
|
||||
"philosophy": {
|
||||
"name": "哲学",
|
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"category": "Humanities"
|
||||
},
|
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"professional_accounting": {
|
||||
"name": "专业会计",
|
||||
"category": "Social Sciences"
|
||||
},
|
||||
"professional_law": {
|
||||
"name": "专业法学",
|
||||
"category": "Humanities"
|
||||
},
|
||||
"professional_medicine": {
|
||||
"name": "专业医学",
|
||||
"category": "Other"
|
||||
},
|
||||
"professional_psychology": {
|
||||
"name": "专业心理学",
|
||||
"category": "Social Sciences"
|
||||
},
|
||||
"public_relations": {
|
||||
"name": "公共关系",
|
||||
"category": "Social Sciences"
|
||||
},
|
||||
"security_study": {
|
||||
"name": "安全研究",
|
||||
"category": "Social Sciences"
|
||||
},
|
||||
"sociology": {
|
||||
"name": "社会学",
|
||||
"category": "Social Sciences"
|
||||
},
|
||||
"sports_science": {
|
||||
"name": "体育学",
|
||||
"category": "Other"
|
||||
},
|
||||
"traditional_chinese_medicine": {
|
||||
"name": "中医中药",
|
||||
"category": "Other"
|
||||
},
|
||||
"virology": {
|
||||
"name": "病毒学",
|
||||
"category": "STEM"
|
||||
},
|
||||
"world_history": {
|
||||
"name": "世界历史",
|
||||
"category": "Humanities"
|
||||
},
|
||||
"world_religions": {
|
||||
"name": "世界宗教",
|
||||
"category": "Humanities"
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user