README.md

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
        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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - split: train
        path: data/pharmacology_dev.csv
      - split: validation
        path: data/pharmacology_val.csv
      - split: test
        path: data/pharmacology_test.csv
  - config_name: taxation
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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)
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - split: train
        path: data/macroeconomics_dev.csv
      - split: validation
        path: data/macroeconomics_val.csv
      - split: test
        path: data/macroeconomics_test.csv
  - config_name: trade
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - split: train
        path: data/music_dev.csv
      - split: validation
        path: data/music_val.csv
      - split: test
        path: data/music_test.csv
  - config_name: education
    datafiles:
      - 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
    datafiles:
      - 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
    datafiles:
      - 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

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-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
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
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
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

Citation

@article{ikala2023eval,
  title={An Improved Traditional Chinese Evaluation Suite for Foundation Model},
  author={Tam, Zhi-Rui and Pai, Ya-Ting},
  journal={arXiv},
  year={2023}
}