423A35C7/LLaMA-Factory
1
0
Fork 0
mirror of https://github.com/hiyouga/LLaMA-Factory.git synced 2025-11-04 18:02:19 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix eval scripts

Browse Source 
Former-commit-id: fc3743d0b82c28fbff1170761139e4fa5d2a8939
This commit is contained in:
hiyouga 2024-05-05 00:53:07 +08:00
parent 7ef3788ff4
commit 2f5f6722cf
3 changed files with 74 additions and 86 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
evaluation/ceval/ceval.py
View File

@ -19,7 +19,7 @@ import pandas as pd
_CITATION = """\
@article{huang2023ceval,
title={C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models},
title={C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models},
author={Huang, Yuzhen and Bai, Yuzhuo and Zhu, Zhihao and Zhang, Junlei and Zhang, Jinghan and Su, Tangjun and Liu, Junteng and Lv, Chuancheng and Zhang, Yikai and Lei, Jiayi and Fu, Yao and Sun, Maosong and He, Junxian},
journal={arXiv preprint arXiv:2305.08322},
year={2023}
@ -133,25 +133,19 @@ class Ceval(datasets.GeneratorBasedBuilder):
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": os.path.join(
data_dir, "test", f"{task_name}_test.csv"
),
"filepath": os.path.join(data_dir, "test", f"{task_name}_test.csv"),
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": os.path.join(
data_dir, "val", f"{task_name}_val.csv"
),
"filepath": os.path.join(data_dir, "val", f"{task_name}_val.csv"),
},
),
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(
data_dir, "dev", f"{task_name}_dev.csv"
),
"filepath": os.path.join(data_dir, "dev", f"{task_name}_dev.csv"),
},
),
]

134
evaluation/cmmlu/cmmlu.py
View File

@ -37,73 +37,73 @@ _LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Internatio
_URL = "cmmlu.zip"
task_list = [
'agronomy',
'anatomy',
'ancient_chinese',
'arts',
'astronomy',
'business_ethics',
'chinese_civil_service_exam',
'chinese_driving_rule',
'chinese_food_culture',
'chinese_foreign_policy',
'chinese_history',
'chinese_literature',
'chinese_teacher_qualification',
'clinical_knowledge',
'college_actuarial_science',
'college_education',
'college_engineering_hydrology',
'college_law',
'college_mathematics',
'college_medical_statistics',
'college_medicine',
'computer_science',
'computer_security',
'conceptual_physics',
'construction_project_management',
'economics',
'education',
'electrical_engineering',
'elementary_chinese',
'elementary_commonsense',
'elementary_information_and_technology',
'elementary_mathematics',
'ethnology',
'food_science',
'genetics',
'global_facts',
'high_school_biology',
'high_school_chemistry',
'high_school_geography',
'high_school_mathematics',
'high_school_physics',
'high_school_politics',
'human_sexuality',
'international_law',
'journalism',
'jurisprudence',
'legal_and_moral_basis',
'logical',
'machine_learning',
'management',
'marketing',
'marxist_theory',
'modern_chinese',
'nutrition',
'philosophy',
'professional_accounting',
'professional_law',
'professional_medicine',
'professional_psychology',
'public_relations',
'security_study',
'sociology',
'sports_science',
'traditional_chinese_medicine',
'virology',
'world_history',
'world_religions',
"agronomy",
"anatomy",
"ancient_chinese",
"arts",
"astronomy",
"business_ethics",
"chinese_civil_service_exam",
"chinese_driving_rule",
"chinese_food_culture",
"chinese_foreign_policy",
"chinese_history",
"chinese_literature",
"chinese_teacher_qualification",
"clinical_knowledge",
"college_actuarial_science",
"college_education",
"college_engineering_hydrology",
"college_law",
"college_mathematics",
"college_medical_statistics",
"college_medicine",
"computer_science",
"computer_security",
"conceptual_physics",
"construction_project_management",
"economics",
"education",
"electrical_engineering",
"elementary_chinese",
"elementary_commonsense",
"elementary_information_and_technology",
"elementary_mathematics",
"ethnology",
"food_science",
"genetics",
"global_facts",
"high_school_biology",
"high_school_chemistry",
"high_school_geography",
"high_school_mathematics",
"high_school_physics",
"high_school_politics",
"human_sexuality",
"international_law",
"journalism",
"jurisprudence",
"legal_and_moral_basis",
"logical",
"machine_learning",
"management",
"marketing",
"marxist_theory",
"modern_chinese",
"nutrition",
"philosophy",
"professional_accounting",
"professional_law",
"professional_medicine",
"professional_psychology",
"public_relations",
"security_study",
"sociology",
"sports_science",
"traditional_chinese_medicine",
"virology",
"world_history",
"world_religions",
]

12
evaluation/mmlu/mmlu.py
View File

@ -136,25 +136,19 @@ class MMLU(datasets.GeneratorBasedBuilder):
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": os.path.join(
data_dir, "data", "test", f"{task_name}_test.csv"
),
"filepath": os.path.join(data_dir, "data", "test", f"{task_name}_test.csv"),
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": os.path.join(
data_dir, "data", "val", f"{task_name}_val.csv"
),
"filepath": os.path.join(data_dir, "data", "val", f"{task_name}_val.csv"),
},
),
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(
data_dir, "data", "dev", f"{task_name}_dev.csv"
),
"filepath": os.path.join(data_dir, "data", "dev", f"{task_name}_dev.csv"),
},
),
]