Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
csv
Languages:
Chinese
Size:
10K - 100K
License:
metadata
license: mit
license_name: mit
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
data_files:
- split: train
path: data/engineering_math_dev.csv
- split: validation
path: data/engineering_math_val.csv
- split: test
path: data/engineering_math_test.csv
- config_name: dentistry
data_files:
- split: train
path: data/dentistry_dev.csv
- split: validation
path: data/dentistry_val.csv
- split: test
path: data/dentistry_test.csv
- config_name: traditional_chinese_medicine_clinical_medicine
data_files:
- split: train
path: data/traditional_chinese_medicine_clinical_medicine_dev.csv
- split: validation
path: data/traditional_chinese_medicine_clinical_medicine_val.csv
- split: test
path: data/traditional_chinese_medicine_clinical_medicine_test.csv
- config_name: clinical_psychology
data_files:
- split: train
path: data/clinical_psychology_dev.csv
- split: validation
path: data/clinical_psychology_val.csv
- split: test
path: data/clinical_psychology_test.csv
- config_name: technical
data_files:
- split: train
path: data/technical_dev.csv
- split: validation
path: data/technical_val.csv
- split: test
path: data/technical_test.csv
- config_name: culinary_skills
data_files:
- split: train
path: data/culinary_skills_dev.csv
- split: validation
path: data/culinary_skills_val.csv
- split: test
path: data/culinary_skills_test.csv
- config_name: mechanical
data_files:
- split: train
path: data/mechanical_dev.csv
- split: validation
path: data/mechanical_val.csv
- split: test
path: data/mechanical_test.csv
- config_name: logic_reasoning
data_files:
- split: train
path: data/logic_reasoning_dev.csv
- split: validation
path: data/logic_reasoning_val.csv
- split: test
path: data/logic_reasoning_test.csv
- config_name: real_estate
data_files:
- split: train
path: data/real_estate_dev.csv
- split: validation
path: data/real_estate_val.csv
- split: test
path: data/real_estate_test.csv
- config_name: general_principles_of_law
data_files:
- split: train
path: data/general_principles_of_law_dev.csv
- split: validation
path: data/general_principles_of_law_val.csv
- split: test
path: data/general_principles_of_law_test.csv
- config_name: finance_banking
data_files:
- split: train
path: data/finance_banking_dev.csv
- split: validation
path: data/finance_banking_val.csv
- split: test
path: data/finance_banking_test.csv
- config_name: anti_money_laundering
data_files:
- split: train
path: data/anti_money_laundering_dev.csv
- split: validation
path: data/anti_money_laundering_val.csv
- split: test
path: data/anti_money_laundering_test.csv
- config_name: ttqav2
data_files:
- split: train
path: data/ttqav2_dev.csv
- split: validation
path: data/ttqav2_val.csv
- split: test
path: data/ttqav2_test.csv
- config_name: marketing_management
data_files:
- split: train
path: data/marketing_management_dev.csv
- split: validation
path: data/marketing_management_val.csv
- split: test
path: data/marketing_management_test.csv
- config_name: business_management
data_files:
- split: train
path: data/business_management_dev.csv
- split: validation
path: data/business_management_val.csv
- split: test
path: data/business_management_test.csv
- config_name: organic_chemistry
data_files:
- split: train
path: data/organic_chemistry_dev.csv
- split: validation
path: data/organic_chemistry_val.csv
- split: test
path: data/organic_chemistry_test.csv
- config_name: advance_chemistry
data_files:
- split: train
path: data/advance_chemistry_dev.csv
- split: validation
path: data/advance_chemistry_val.csv
- split: test
path: data/advance_chemistry_test.csv
- config_name: physics
data_files:
- split: train
path: data/physics_dev.csv
- split: validation
path: data/physics_val.csv
- split: test
path: data/physics_test.csv
- config_name: secondary_physics
data_files:
- split: train
path: data/secondary_physics_dev.csv
- split: validation
path: data/secondary_physics_val.csv
- split: test
path: data/secondary_physics_test.csv
- config_name: human_behavior
data_files:
- split: train
path: data/human_behavior_dev.csv
- split: validation
path: data/human_behavior_val.csv
- split: test
path: data/human_behavior_test.csv
- config_name: national_protection
data_files:
- split: train
path: data/national_protection_dev.csv
- split: validation
path: data/national_protection_val.csv
- split: test
path: data/national_protection_test.csv
- config_name: jce_humanities
data_files:
- split: train
path: data/jce_humanities_dev.csv
- split: validation
path: data/jce_humanities_val.csv
- split: test
path: data/jce_humanities_test.csv
- config_name: politic_science
data_files:
- split: train
path: data/politic_science_dev.csv
- split: validation
path: data/politic_science_val.csv
- split: test
path: data/politic_science_test.csv
- config_name: agriculture
data_files:
- split: train
path: data/agriculture_dev.csv
- split: validation
path: data/agriculture_val.csv
- split: test
path: data/agriculture_test.csv
- config_name: official_document_management
data_files:
- split: train
path: data/official_document_management_dev.csv
- split: validation
path: data/official_document_management_val.csv
- split: test
path: data/official_document_management_test.csv
- config_name: financial_analysis
data_files:
- split: train
path: data/financial_analysis_dev.csv
- split: validation
path: data/financial_analysis_val.csv
- split: test
path: data/financial_analysis_test.csv
- config_name: pharmacy
data_files:
- split: train
path: data/pharmacy_dev.csv
- split: validation
path: data/pharmacy_val.csv
- split: test
path: data/pharmacy_test.csv
- config_name: educational_psychology
data_files:
- split: train
path: data/educational_psychology_dev.csv
- split: validation
path: data/educational_psychology_val.csv
- split: test
path: data/educational_psychology_test.csv
- config_name: statistics_and_machine_learning
data_files:
- split: train
path: data/statistics_and_machine_learning_dev.csv
- split: validation
path: data/statistics_and_machine_learning_val.csv
- split: test
path: data/statistics_and_machine_learning_test.csv
- config_name: management_accounting
data_files:
- split: train
path: data/management_accounting_dev.csv
- split: validation
path: data/management_accounting_val.csv
- split: test
path: data/management_accounting_test.csv
- config_name: introduction_to_law
data_files:
- split: train
path: data/introduction_to_law_dev.csv
- split: validation
path: data/introduction_to_law_val.csv
- split: test
path: data/introduction_to_law_test.csv
- config_name: computer_science
data_files:
- split: train
path: data/computer_science_dev.csv
- split: validation
path: data/computer_science_val.csv
- split: test
path: data/computer_science_test.csv
- config_name: veterinary_pathology
data_files:
- split: train
path: data/veterinary_pathology_dev.csv
- split: validation
path: data/veterinary_pathology_val.csv
- split: test
path: data/veterinary_pathology_test.csv
- config_name: accounting
data_files:
- split: train
path: data/accounting_dev.csv
- split: validation
path: data/accounting_val.csv
- split: test
path: data/accounting_test.csv
- config_name: fire_science
data_files:
- split: train
path: data/fire_science_dev.csv
- split: validation
path: data/fire_science_val.csv
- split: test
path: data/fire_science_test.csv
- config_name: optometry
data_files:
- split: train
path: data/optometry_dev.csv
- split: validation
path: data/optometry_val.csv
- split: test
path: data/optometry_test.csv
- config_name: insurance_studies
data_files:
- split: train
path: data/insurance_studies_dev.csv
- split: validation
path: data/insurance_studies_val.csv
- split: test
path: data/insurance_studies_test.csv
- config_name: pharmacology
data_files:
- split: train
path: data/pharmacology_dev.csv
- split: validation
path: data/pharmacology_val.csv
- split: test
path: data/pharmacology_test.csv
- config_name: taxation
data_files:
- split: train
path: data/taxation_dev.csv
- split: validation
path: data/taxation_val.csv
- split: test
path: data/taxation_test.csv
- config_name: trust_practice
data_files:
- split: train
path: data/trust_practice_dev.csv
- split: validation
path: data/trust_practice_val.csv
- split: test
path: data/trust_practice_test.csv
- config_name: geography_of_taiwan
data_files:
- split: train
path: data/geography_of_taiwan_dev.csv
- split: validation
path: data/geography_of_taiwan_val.csv
- split: test
path: data/geography_of_taiwan_test.csv
- config_name: physical_education
data_files:
- split: train
path: data/physical_education_dev.csv
- split: validation
path: data/physical_education_val.csv
- split: test
path: data/physical_education_test.csv
- config_name: auditing
data_files:
- split: train
path: data/auditing_dev.csv
- split: validation
path: data/auditing_val.csv
- split: test
path: data/auditing_test.csv
- config_name: administrative_law
data_files:
- split: train
path: data/administrative_law_dev.csv
- split: validation
path: data/administrative_law_val.csv
- split: test
path: data/administrative_law_test.csv
- config_name: education_(profession_level)
data_files:
- split: train
path: data/education_(profession_level)_dev.csv
- split: validation
path: data/education_(profession_level)_val.csv
- split: test
path: data/education_(profession_level)_test.csv
- config_name: economics
data_files:
- split: train
path: data/economics_dev.csv
- split: validation
path: data/economics_val.csv
- split: test
path: data/economics_test.csv
- config_name: veterinary_pharmacology
data_files:
- split: train
path: data/veterinary_pharmacology_dev.csv
- split: validation
path: data/veterinary_pharmacology_val.csv
- split: test
path: data/veterinary_pharmacology_test.csv
- config_name: nautical_science
data_files:
- split: train
path: data/nautical_science_dev.csv
- split: validation
path: data/nautical_science_val.csv
- split: test
path: data/nautical_science_test.csv
- config_name: occupational_therapy_for_psychological_disorders
data_files:
- split: train
path: data/occupational_therapy_for_psychological_disorders_dev.csv
- split: validation
path: data/occupational_therapy_for_psychological_disorders_val.csv
- split: test
path: data/occupational_therapy_for_psychological_disorders_test.csv
- config_name: basic_medical_science
data_files:
- split: train
path: data/basic_medical_science_dev.csv
- split: validation
path: data/basic_medical_science_val.csv
- split: test
path: data/basic_medical_science_test.csv
- config_name: macroeconomics
data_files:
- split: train
path: data/macroeconomics_dev.csv
- split: validation
path: data/macroeconomics_val.csv
- split: test
path: data/macroeconomics_test.csv
- config_name: trade
data_files:
- split: train
path: data/trade_dev.csv
- split: validation
path: data/trade_val.csv
- split: test
path: data/trade_test.csv
- config_name: chinese_language_and_literature
data_files:
- split: train
path: data/chinese_language_and_literature_dev.csv
- split: validation
path: data/chinese_language_and_literature_val.csv
- split: test
path: data/chinese_language_and_literature_test.csv
- config_name: tve_design
data_files:
- split: train
path: data/tve_design_dev.csv
- split: validation
path: data/tve_design_val.csv
- split: test
path: data/tve_design_test.csv
- config_name: junior_science_exam
data_files:
- split: train
path: data/junior_science_exam_dev.csv
- split: validation
path: data/junior_science_exam_val.csv
- split: test
path: data/junior_science_exam_test.csv
- config_name: junior_math_exam
data_files:
- split: train
path: data/junior_math_exam_dev.csv
- split: validation
path: data/junior_math_exam_val.csv
- split: test
path: data/junior_math_exam_test.csv
- config_name: junior_chinese_exam
data_files:
- split: train
path: data/junior_chinese_exam_dev.csv
- split: validation
path: data/junior_chinese_exam_val.csv
- split: test
path: data/junior_chinese_exam_test.csv
- config_name: junior_social_studies
data_files:
- split: train
path: data/junior_social_studies_dev.csv
- split: validation
path: data/junior_social_studies_val.csv
- split: test
path: data/junior_social_studies_test.csv
- config_name: tve_mathematics
data_files:
- split: train
path: data/tve_mathematics_dev.csv
- split: validation
path: data/tve_mathematics_val.csv
- split: test
path: data/tve_mathematics_test.csv
- config_name: tve_chinese_language
data_files:
- split: train
path: data/tve_chinese_language_dev.csv
- split: validation
path: data/tve_chinese_language_val.csv
- split: test
path: data/tve_chinese_language_test.csv
- config_name: tve_natural_sciences
data_files:
- split: train
path: data/tve_natural_sciences_dev.csv
- split: validation
path: data/tve_natural_sciences_val.csv
- split: test
path: data/tve_natural_sciences_test.csv
- config_name: junior_chemistry
data_files:
- split: train
path: data/junior_chemistry_dev.csv
- split: validation
path: data/junior_chemistry_val.csv
- split: test
path: data/junior_chemistry_test.csv
- config_name: music
data_files:
- split: train
path: data/music_dev.csv
- split: validation
path: data/music_val.csv
- split: test
path: data/music_test.csv
- config_name: education
data_files:
- split: train
path: data/education_dev.csv
- split: validation
path: data/education_val.csv
- split: test
path: data/education_test.csv
- config_name: three_principles_of_people
data_files:
- split: train
path: data/three_principles_of_people_dev.csv
- split: validation
path: data/three_principles_of_people_val.csv
- split: test
path: data/three_principles_of_people_test.csv
- config_name: taiwanese_hokkien
data_files:
- split: train
path: data/taiwanese_hokkien_dev.csv
- split: validation
path: data/taiwanese_hokkien_val.csv
- split: test
path: data/taiwanese_hokkien_test.csv
TMMLU+ : Large scale traditional chinese massive multitask language understanding
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-weight 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']
For each dataset split
for row in test:
print(row)
break
>> Dataset({
features: ['question', 'A', 'B', 'C', 'D', 'answer'],
num_rows: 11
})
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 |
| gpt-4-0613 | 60.36 | 67.36 | 56.03 | 57.62 | 60.34 |
| Qwen-max | 59.92 | 66.95 | 57.43 | 56.48 | 60.20 |
| Qwen/Qwen-72B-Chat | 55.15 | 66.20 | 55.65 | 57.19 | 58.55 |
| 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 |
| Reka Flash | 45.26 | 52.91 | 46.31 | 43.76 | 47.06 |
| 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 |
| MediaTek-Research/Breeze-7B-Instruct-v0_1 | 36.46 | 48.38 | 45.11 | 40.75 | 42.67 |
| 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 |
| meta-llama/Llama-3-70b-chat-hf | 34.44 | 47.02 | 37.50 | 39.51 | 39.62 |
| 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 |
| google/gemma-7b-it | 31.89 | 35.70 | 34.00 | 33.79 | 33.84 |
| Reka Edge | 30.02 | 39.40 | 31.84 | 32.36 | 33.41 |
| microsoft/Orca-2-13b | 24.69 | 39.18 | 33.60 | 31.99 | 32.37 |
| Qwen/Qwen-1_8B-Chat | 26.60 | 36.36 | 31.81 | 31.96 | 31.68 |
| meta-llama/Llama-3-8b-chat-hf | 31.52 | 34.19 | 28.91 | 31.79 | 31.60 |
| 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 |
| deepseek-ai/deepseek-llm-67b-chat | 19.10 | 26.06 | 21.51 | 21.77 | 22.11 |
| yentinglin/Taiwan-LLM-13B-v2.0-chat | 18.53 | 27.65 | 17.77 | 21.49 | 21.36 |
| GeneZC/MiniChat-3B | 17.66 | 23.35 | 22.71 | 20.34 | 21.02 |
| 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 |
| Claude-instant-1 | 12.52 | 17.13 | 15.10 | 13.57 | 14.58 |
| FlagAlpha/Atom-7B | 5.60 | 13.57 | 7.71 | 11.84 | 9.68 |
Results via ievals ( settings : 0-shot direct answering )
Citation
@article{ikala2024improved,
title={An Improved Traditional Chinese Evaluation Suite for Foundation Model},
author={Tam, Zhi-Rui and Pai, Ya-Ting and Lee, Yen-Wei and Cheng, Sega and Shuai, Hong-Han},
journal={arXiv preprint arXiv:2403.01858},
year={2024}
}