Datasets:
metadata
license: other
license_name: creative-commons-by-nc
task_categories:
- question-answering
language:
- zh
tags:
- traditional chinese
- finance
- medical
- taiwan
- benchmark
- zh-tw
- zh-hant
pretty_name: tmmlu++
size_categories:
- 100K<n<1M
configs:
- config_name: engineering_math
datafiles:
- split: train - "data/engineering_math_dev.csv"
- split: validation - "data/engineering_math_val.csv"
- split: test - "data/engineering_math_test.csv"
- config_name: dentistry
datafiles:
- split: train - "data/dentistry_dev.csv"
- split: validation - "data/dentistry_val.csv"
- split: test - "data/dentistry_test.csv"
- config_name: traditional_chinese_medicine_clinical_medicine
datafiles:
- split: train - "data/traditional_chinese_medicine_clinical_medicine_dev.csv"
- split: >-
validation -
"data/traditional_chinese_medicine_clinical_medicine_val.csv"
- split: test - "data/traditional_chinese_medicine_clinical_medicine_test.csv"
- config_name: clinical_psychology
datafiles:
- split: train - "data/clinical_psychology_dev.csv"
- split: validation - "data/clinical_psychology_val.csv"
- split: test - "data/clinical_psychology_test.csv"
- config_name: technical
datafiles:
- split: train - "data/technical_dev.csv"
- split: validation - "data/technical_val.csv"
- split: test - "data/technical_test.csv"
- config_name: culinary_skills
datafiles:
- split: train - "data/culinary_skills_dev.csv"
- split: validation - "data/culinary_skills_val.csv"
- split: test - "data/culinary_skills_test.csv"
- config_name: mechanical
datafiles:
- split: train - "data/mechanical_dev.csv"
- split: validation - "data/mechanical_val.csv"
- split: test - "data/mechanical_test.csv"
- config_name: logic_reasoning
datafiles:
- split: train - "data/logic_reasoning_dev.csv"
- split: validation - "data/logic_reasoning_val.csv"
- split: test - "data/logic_reasoning_test.csv"
- config_name: real_estate
datafiles:
- split: train - "data/real_estate_dev.csv"
- split: validation - "data/real_estate_val.csv"
- split: test - "data/real_estate_test.csv"
- config_name: general_principles_of_law
datafiles:
- split: train - "data/general_principles_of_law_dev.csv"
- split: validation - "data/general_principles_of_law_val.csv"
- split: test - "data/general_principles_of_law_test.csv"
- config_name: finance_banking
datafiles:
- split: train - "data/finance_banking_dev.csv"
- split: validation - "data/finance_banking_val.csv"
- split: test - "data/finance_banking_test.csv"
- config_name: anti_money_laundering
datafiles:
- split: train - "data/anti_money_laundering_dev.csv"
- split: validation - "data/anti_money_laundering_val.csv"
- split: test - "data/anti_money_laundering_test.csv"
- config_name: ttqav2
datafiles:
- split: train - "data/ttqav2_dev.csv"
- split: validation - "data/ttqav2_val.csv"
- split: test - "data/ttqav2_test.csv"
- config_name: marketing_management
datafiles:
- split: train - "data/marketing_management_dev.csv"
- split: validation - "data/marketing_management_val.csv"
- split: test - "data/marketing_management_test.csv"
- config_name: business_management
datafiles:
- split: train - "data/business_management_dev.csv"
- split: validation - "data/business_management_val.csv"
- split: test - "data/business_management_test.csv"
- config_name: organic_chemistry
datafiles:
- split: train - "data/organic_chemistry_dev.csv"
- split: validation - "data/organic_chemistry_val.csv"
- split: test - "data/organic_chemistry_test.csv"
- config_name: advance_chemistry
datafiles:
- split: train - "data/advance_chemistry_dev.csv"
- split: validation - "data/advance_chemistry_val.csv"
- split: test - "data/advance_chemistry_test.csv"
- config_name: physics
datafiles:
- split: train - "data/physics_dev.csv"
- split: validation - "data/physics_val.csv"
- split: test - "data/physics_test.csv"
- config_name: secondary_physics
datafiles:
- split: train - "data/secondary_physics_dev.csv"
- split: validation - "data/secondary_physics_val.csv"
- split: test - "data/secondary_physics_test.csv"
- config_name: human_behavior
datafiles:
- split: train - "data/human_behavior_dev.csv"
- split: validation - "data/human_behavior_val.csv"
- split: test - "data/human_behavior_test.csv"
- config_name: national_protection
datafiles:
- split: train - "data/national_protection_dev.csv"
- split: validation - "data/national_protection_val.csv"
- split: test - "data/national_protection_test.csv"
- config_name: jce_humanities
datafiles:
- split: train - "data/jce_humanities_dev.csv"
- split: validation - "data/jce_humanities_val.csv"
- split: test - "data/jce_humanities_test.csv"
- config_name: politic_science
datafiles:
- split: train - "data/politic_science_dev.csv"
- split: validation - "data/politic_science_val.csv"
- split: test - "data/politic_science_test.csv"
- config_name: agriculture
datafiles:
- split: train - "data/agriculture_dev.csv"
- split: validation - "data/agriculture_val.csv"
- split: test - "data/agriculture_test.csv"
- config_name: official_document_management
datafiles:
- split: train - "data/official_document_management_dev.csv"
- split: validation - "data/official_document_management_val.csv"
- split: test - "data/official_document_management_test.csv"
- config_name: financial_analysis
datafiles:
- split: train - "data/financial_analysis_dev.csv"
- split: validation - "data/financial_analysis_val.csv"
- split: test - "data/financial_analysis_test.csv"
- config_name: pharmacy
datafiles:
- split: train - "data/pharmacy_dev.csv"
- split: validation - "data/pharmacy_val.csv"
- split: test - "data/pharmacy_test.csv"
- config_name: educational_psychology
datafiles:
- split: train - "data/educational_psychology_dev.csv"
- split: validation - "data/educational_psychology_val.csv"
- split: test - "data/educational_psychology_test.csv"
- config_name: statistics_and_machine_learning
datafiles:
- split: train - "data/statistics_and_machine_learning_dev.csv"
- split: validation - "data/statistics_and_machine_learning_val.csv"
- split: test - "data/statistics_and_machine_learning_test.csv"
- config_name: management_accounting
datafiles:
- split: train - "data/management_accounting_dev.csv"
- split: validation - "data/management_accounting_val.csv"
- split: test - "data/management_accounting_test.csv"
- config_name: introduction_to_law
datafiles:
- split: train - "data/introduction_to_law_dev.csv"
- split: validation - "data/introduction_to_law_val.csv"
- split: test - "data/introduction_to_law_test.csv"
- config_name: computer_science
datafiles:
- split: train - "data/computer_science_dev.csv"
- split: validation - "data/computer_science_val.csv"
- split: test - "data/computer_science_test.csv"
- config_name: veterinary_pathology
datafiles:
- split: train - "data/veterinary_pathology_dev.csv"
- split: validation - "data/veterinary_pathology_val.csv"
- split: test - "data/veterinary_pathology_test.csv"
- config_name: accounting
datafiles:
- split: train - "data/accounting_dev.csv"
- split: validation - "data/accounting_val.csv"
- split: test - "data/accounting_test.csv"
- config_name: fire_science
datafiles:
- split: train - "data/fire_science_dev.csv"
- split: validation - "data/fire_science_val.csv"
- split: test - "data/fire_science_test.csv"
- config_name: optometry
datafiles:
- split: train - "data/optometry_dev.csv"
- split: validation - "data/optometry_val.csv"
- split: test - "data/optometry_test.csv"
- config_name: insurance_studies
datafiles:
- split: train - "data/insurance_studies_dev.csv"
- split: validation - "data/insurance_studies_val.csv"
- split: test - "data/insurance_studies_test.csv"
- config_name: pharmacology
datafiles:
- split: train - "data/pharmacology_dev.csv"
- split: validation - "data/pharmacology_val.csv"
- split: test - "data/pharmacology_test.csv"
- config_name: taxation
datafiles:
- split: train - "data/taxation_dev.csv"
- split: validation - "data/taxation_val.csv"
- split: test - "data/taxation_test.csv"
- config_name: trust_practice
datafiles:
- split: train - "data/trust_practice_dev.csv"
- split: validation - "data/trust_practice_val.csv"
- split: test - "data/trust_practice_test.csv"
- config_name: geography_of_taiwan
datafiles:
- split: train - "data/geography_of_taiwan_dev.csv"
- split: validation - "data/geography_of_taiwan_val.csv"
- split: test - "data/geography_of_taiwan_test.csv"
- config_name: physical_education
datafiles:
- split: train - "data/physical_education_dev.csv"
- split: validation - "data/physical_education_val.csv"
- split: test - "data/physical_education_test.csv"
- config_name: auditing
datafiles:
- split: train - "data/auditing_dev.csv"
- split: validation - "data/auditing_val.csv"
- split: test - "data/auditing_test.csv"
- config_name: administrative_law
datafiles:
- split: train - "data/administrative_law_dev.csv"
- split: validation - "data/administrative_law_val.csv"
- split: test - "data/administrative_law_test.csv"
- config_name: education_(profession_level)
datafiles:
- split: train - "data/education_(profession_level)_dev.csv"
- split: validation - "data/education_(profession_level)_val.csv"
- split: test - "data/education_(profession_level)_test.csv"
- config_name: economics
datafiles:
- split: train - "data/economics_dev.csv"
- split: validation - "data/economics_val.csv"
- split: test - "data/economics_test.csv"
- config_name: veterinary_pharmacology
datafiles:
- split: train - "data/veterinary_pharmacology_dev.csv"
- split: validation - "data/veterinary_pharmacology_val.csv"
- split: test - "data/veterinary_pharmacology_test.csv"
- config_name: nautical_science
datafiles:
- split: train - "data/nautical_science_dev.csv"
- split: validation - "data/nautical_science_val.csv"
- split: test - "data/nautical_science_test.csv"
- config_name: occupational_therapy_for_psychological_disorders
datafiles:
- split: >-
train -
"data/occupational_therapy_for_psychological_disorders_dev.csv"
- split: >-
validation -
"data/occupational_therapy_for_psychological_disorders_val.csv"
- split: >-
test -
"data/occupational_therapy_for_psychological_disorders_test.csv"
- config_name: basic_medical_science
datafiles:
- split: train - "data/basic_medical_science_dev.csv"
- split: validation - "data/basic_medical_science_val.csv"
- split: test - "data/basic_medical_science_test.csv"
- config_name: macroeconomics
datafiles:
- split: train - "data/macroeconomics_dev.csv"
- split: validation - "data/macroeconomics_val.csv"
- split: test - "data/macroeconomics_test.csv"
- config_name: trade
datafiles:
- split: train - "data/trade_dev.csv"
- split: validation - "data/trade_val.csv"
- split: test - "data/trade_test.csv"
- config_name: chinese_language_and_literature
datafiles:
- split: train - "data/chinese_language_and_literature_dev.csv"
- split: validation - "data/chinese_language_and_literature_val.csv"
- split: test - "data/chinese_language_and_literature_test.csv"
- config_name: tve_design
datafiles:
- split: train - "data/tve_design_dev.csv"
- split: validation - "data/tve_design_val.csv"
- split: test - "data/tve_design_test.csv"
- config_name: junior_science_exam
datafiles:
- split: train - "data/junior_science_exam_dev.csv"
- split: validation - "data/junior_science_exam_val.csv"
- split: test - "data/junior_science_exam_test.csv"
- config_name: junior_math_exam
datafiles:
- split: train - "data/junior_math_exam_dev.csv"
- split: validation - "data/junior_math_exam_val.csv"
- split: test - "data/junior_math_exam_test.csv"
- config_name: junior_chinese_exam
datafiles:
- split: train - "data/junior_chinese_exam_dev.csv"
- split: validation - "data/junior_chinese_exam_val.csv"
- split: test - "data/junior_chinese_exam_test.csv"
- config_name: junior_social_studies
datafiles:
- split: train - "data/junior_social_studies_dev.csv"
- split: validation - "data/junior_social_studies_val.csv"
- split: test - "data/junior_social_studies_test.csv"
- config_name: tve_mathematics
datafiles:
- split: train - "data/tve_mathematics_dev.csv"
- split: validation - "data/tve_mathematics_val.csv"
- split: test - "data/tve_mathematics_test.csv"
- config_name: tve_chinese_language
datafiles:
- split: train - "data/tve_chinese_language_dev.csv"
- split: validation - "data/tve_chinese_language_val.csv"
- split: test - "data/tve_chinese_language_test.csv"
- config_name: tve_natural_sciences
datafiles:
- split: train - "data/tve_natural_sciences_dev.csv"
- split: validation - "data/tve_natural_sciences_val.csv"
- split: test - "data/tve_natural_sciences_test.csv"
- config_name: junior_chemistry
datafiles:
- split: train - "data/junior_chemistry_dev.csv"
- split: validation - "data/junior_chemistry_val.csv"
- split: test - "data/junior_chemistry_test.csv"
- config_name: music
datafiles:
- split: train - "data/music_dev.csv"
- split: validation - "data/music_val.csv"
- split: test - "data/music_test.csv"
- config_name: education
datafiles:
- split: train - "data/education_dev.csv"
- split: validation - "data/education_val.csv"
- split: test - "data/education_test.csv"
- config_name: three_principles_of_people
datafiles:
- split: train - "data/three_principles_of_people_dev.csv"
- split: validation - "data/three_principles_of_people_val.csv"
- split: test - "data/three_principles_of_people_test.csv"
- config_name: taiwanese_hokkien
datafiles:
- split: train - "data/taiwanese_hokkien_dev.csv"
- split: validation - "data/taiwanese_hokkien_val.csv"
- split: test - "data/taiwanese_hokkien_test.csv"
TMMLU+ : Large scale traditional chinese massive multitask language understanding
We present TMMLU+, a traditional Chinese massive multitask language understanding dataset. TMMLU+ is a multiple-choice question-answering dataset featuring 66 subjects, ranging from elementary to professional level.
The TMMLU+ dataset is six times larger and contains more balanced subjects compared to its predecessor, TMMLU. We have included benchmark results in TMMLU+ from closed-source models and 20 open-source Chinese large language models, with parameters ranging from 1.8B to 72B. The benchmark results show that Traditional Chinese variants still lag behind those trained on major Simplified Chinese models.
from datasets import load_dataset
task_list = [
'engineering_math', 'dentistry', 'traditional_chinese_medicine_clinical_medicine', 'clinical_psychology', 'technical', 'culinary_skills', 'mechanical', 'logic_reasoning', 'real_estate',
'general_principles_of_law', 'finance_banking', 'anti_money_laundering', 'ttqav2', 'marketing_management', 'business_management', 'organic_chemistry', 'advance_chemistry',
'physics', 'secondary_physics', 'human_behavior', 'national_protection', 'jce_humanities', 'politic_science', 'agriculture', 'official_document_management',
'financial_analysis', 'pharmacy', 'educational_psychology', 'statistics_and_machine_learning', 'management_accounting', 'introduction_to_law', 'computer_science', 'veterinary_pathology',
'accounting', 'fire_science', 'optometry', 'insurance_studies', 'pharmacology', 'taxation', 'trust_practice', 'geography_of_taiwan', 'physical_education', 'auditing', 'administrative_law',
'education_(profession_level)', 'economics', 'veterinary_pharmacology', 'nautical_science', 'occupational_therapy_for_psychological_disorders',
'basic_medical_science', 'macroeconomics', 'trade', 'chinese_language_and_literature', 'tve_design', 'junior_science_exam', 'junior_math_exam', 'junior_chinese_exam',
'junior_social_studies', 'tve_mathematics', 'tve_chinese_language', 'tve_natural_sciences', 'junior_chemistry', 'music', 'education', 'three_principles_of_people',
'taiwanese_hokkien'
]
for task in task_list:
val = load_dataset('ikala/tmmluplus', task)['validation']
dev = load_dataset('ikala/tmmluplus', task)['train']
test = load_dataset('ikala/tmmluplus', task)['test']
Statistic on all four categories : STEM, Social Science, Humanities, Other
Category | Test | Dev | Validation |
---|---|---|---|
STEM | 3458 | 70 | 385 |
Social Sciences | 5958 | 90 | 665 |
Humanities | 1763 | 35 | 197 |
Other (Business, Health, Misc.) | 8939 | 135 | 995 |
Total | 20118 | 330 | 2242 |
Benchmark on direct prompting
model | STEM | Social Science | Humanities | Other | Average |
---|---|---|---|---|---|
Qwen/Qwen-72B | 61.12 | 71.65 | 63.00 | 61.31 | 64.27 |
Qwen/Qwen-14B | 46.94 | 56.69 | 49.43 | 48.81 | 50.47 |
Gemini-pro | 45.38 | 57.29 | 48.80 | 48.21 | 49.92 |
01-ai/Yi-34B-Chat | 40.24 | 56.77 | 53.99 | 47.58 | 49.64 |
Qwen/Qwen-14B-Chat | 43.86 | 53.29 | 44.78 | 45.13 | 46.77 |
01-ai/Yi-6B-Chat | 39.62 | 50.24 | 44.44 | 44.26 | 44.64 |
Claude-1.3 | 42.65 | 49.33 | 42.16 | 44.14 | 44.57 |
gpt-3.5-turbo-0613 | 41.56 | 46.72 | 36.73 | 42.03 | 41.76 |
CausalLM/14B | 39.83 | 44.50 | 39.61 | 41.97 | 41.48 |
Skywork/Skywork-13B-base | 36.93 | 47.27 | 41.04 | 40.10 | 41.33 |
Qwen/Qwen-7B | 37.53 | 45.48 | 38.09 | 38.96 | 40.01 |
Qwen/Qwen-7B-Chat | 33.32 | 44.64 | 40.27 | 39.89 | 39.53 |
vivo-ai/BlueLM-7B-Base | 33.94 | 41.52 | 37.38 | 38.74 | 37.90 |
baichuan-inc/Baichuan2-13B-Chat | 29.64 | 43.73 | 37.36 | 39.88 | 37.65 |
Qwen/Qwen-1_8B | 32.65 | 38.95 | 38.34 | 35.27 | 36.30 |
Claude-2 | 39.65 | 39.09 | 28.59 | 37.47 | 36.20 |
THUDM/chatglm3-6b | 31.05 | 39.31 | 35.64 | 35.60 | 35.40 |
deepseek-ai/deepseek-llm-7b-chat | 29.82 | 42.29 | 34.24 | 34.31 | 35.17 |
CausalLM/7B | 31.03 | 38.17 | 35.87 | 35.39 | 35.11 |
Azure99/blossom-v3_1-mistral-7b | 32.80 | 36.91 | 32.36 | 34.53 | 34.15 |
Qwen/Qwen-1_8B-Chat | 26.60 | 36.36 | 31.81 | 31.96 | 31.68 |
TigerResearch/tigerbot-13b-chat-v3 | 24.73 | 29.63 | 25.72 | 27.22 | 26.82 |
hongyin/mistral-7b-80k | 24.26 | 23.76 | 22.56 | 24.57 | 23.79 |
yentinglin/Taiwan-LLM-13B-v2.0-chat | 18.53 | 27.65 | 17.77 | 21.49 | 21.36 |
LinkSoul/Chinese-Llama-2-7b | 16.55 | 18.39 | 12.97 | 16.13 | 16.01 |
yentinglin/Taiwan-LLM-7B-v2.1-chat | 14.99 | 16.23 | 15.00 | 16.22 | 15.61 |
FlagAlpha/Atom-7B | 5.60 | 13.57 | 7.71 | 11.84 | 9.68 |