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update: READMD & Loading script tmmluplus.py

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  1. README.md +16 -4
  2. tmmluplus.py +2 -2
README.md CHANGED
@@ -545,6 +545,14 @@ configs:
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  path: "data/taiwanese_hokkien_val.csv"
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  - split: test
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  path: "data/taiwanese_hokkien_test.csv"
 
 
 
 
 
 
 
 
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  ---
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  # TMMLU+ : Large scale traditional chinese massive multitask language understanding
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@@ -567,12 +575,13 @@ task_list = [
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  'education_(profession_level)', 'economics', 'veterinary_pharmacology', 'nautical_science', 'occupational_therapy_for_psychological_disorders',
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  'basic_medical_science', 'macroeconomics', 'trade', 'chinese_language_and_literature', 'tve_design', 'junior_science_exam', 'junior_math_exam', 'junior_chinese_exam',
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  'junior_social_studies', 'tve_mathematics', 'tve_chinese_language', 'tve_natural_sciences', 'junior_chemistry', 'music', 'education', 'three_principles_of_people',
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- 'taiwanese_hokkien'
 
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  ]
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  for task in task_list:
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- val = load_dataset('ikala/tmmluplus', task)['validation']
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- dev = load_dataset('ikala/tmmluplus', task)['train']
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- test = load_dataset('ikala/tmmluplus', task)['test']
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  ```
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  For each dataset split
@@ -650,3 +659,6 @@ Results via [ievals](https://github.com/iKala/ievals) ( settings : 0-shot direct
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  }
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  ```
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  path: "data/taiwanese_hokkien_val.csv"
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  - split: test
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  path: "data/taiwanese_hokkien_test.csv"
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+ - config_name: linear_algebra
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+ datafiles:
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+ - split: train
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+ path: "data/linear_algebra_dev.csv"
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+ - split: validation
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+ path: "data/linear_algebra_val.csv"
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+ - split: test
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+ path: "data/linear_algebra_test.csv"
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  ---
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  # TMMLU+ : Large scale traditional chinese massive multitask language understanding
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  'education_(profession_level)', 'economics', 'veterinary_pharmacology', 'nautical_science', 'occupational_therapy_for_psychological_disorders',
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  'basic_medical_science', 'macroeconomics', 'trade', 'chinese_language_and_literature', 'tve_design', 'junior_science_exam', 'junior_math_exam', 'junior_chinese_exam',
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  'junior_social_studies', 'tve_mathematics', 'tve_chinese_language', 'tve_natural_sciences', 'junior_chemistry', 'music', 'education', 'three_principles_of_people',
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+ 'taiwanese_hokkien',
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+ 'linear_algebra'
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  ]
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  for task in task_list:
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+ val = load_dataset('ZoneTwelve/tmmluplus', task)['validation']
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+ dev = load_dataset('ZoneTwelve/tmmluplus', task)['train']
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+ test = load_dataset('ZoneTwelve/tmmluplus', task)['test']
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  ```
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  For each dataset split
 
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  }
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  ```
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+ > CONTENT WARNING
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+ > This is a modification of ikala/tmmluplus, with minor alterations made to facilitate the implementation for lm-evaluation-harness purposes.
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+ > [More details on Discussions](https://huggingface.co/datasets/ZoneTwelve/tmmluplus/discussions/1)
tmmluplus.py CHANGED
@@ -37,10 +37,10 @@ task_list = [
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  'trust_practice', 'geography_of_taiwan', 'physical_education', 'auditing', 'administrative_law',
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  'basic_medical_science', 'macroeconomics', 'trade', 'chinese_language_and_literature',
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  'tve_design', 'junior_science_exam', 'junior_math_exam', 'junior_chinese_exam',
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- 'junior_social_studies', 'linear_algebra', 'tve_mathematics', 'tve_chinese_language',
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  'tve_natural_sciences', 'junior_chemistry', 'music', 'education',
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  'three_principles_of_people', 'taiwanese_hokkien',
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- 'engineering_math'
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  ]
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  _URLs = {
 
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  'trust_practice', 'geography_of_taiwan', 'physical_education', 'auditing', 'administrative_law',
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  'basic_medical_science', 'macroeconomics', 'trade', 'chinese_language_and_literature',
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  'tve_design', 'junior_science_exam', 'junior_math_exam', 'junior_chinese_exam',
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+ 'junior_social_studies', 'tve_mathematics', 'tve_chinese_language',
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  'tve_natural_sciences', 'junior_chemistry', 'music', 'education',
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  'three_principles_of_people', 'taiwanese_hokkien',
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+ 'engineering_math', 'linear_algebra'
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  ]
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  _URLs = {