Delete loading script

IndoMMLU.py

@@ -1,172 +0,0 @@
-import csv
-import datasets
-
-_CITATION = """\
-@inproceedings{koto-etal-2023-indommlu,
-    title = "Large Language Models Only Pass Primary School Exams in {I}ndonesia: A Comprehensive Test on {I}ndo{MMLU}",
-    author = "Fajri Koto and Nurul Aisyah and Haonan Li and Timothy Baldwin",
-    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
-    month = December,
-    year = "2023",
-    address = "Singapore",
-    publisher = "Association for Computational Linguistics",
-}"""
-
-
-subject2english = {
-    'Sejarah': 'History',
-     'Geografi': 'Geography',
-     'Bahasa Lampung': 'Lampungic',
-     'IPS': 'Social science',
-     'Bahasa Bali': 'Balinese',
-     'Bahasa Makassar': 'Makassarese',
-     'Bahasa Banjar': 'Banjarese',
-     'Kimia': 'Chemistry',
-     'Biologi': 'Biology',
-     'IPA': 'Science',
-     'Agama Kristen': 'Christian religion',
-     'Kesenian': 'Art',
-     'Agama Islam': 'Islam religion',
-     'Agama Hindu': 'Hindu religion',
-     'Bahasa Madura': 'Madurese',
-     'Penjaskes': 'Sport',
-     'Bahasa Indonesia': 'Indonesian language',
-     'Fisika': 'Physics',
-     'Budaya Alam Minangkabau': 'Minangkabau culture',
-     'Bahasa Dayak Ngaju': 'Dayak language',
-     'Sosiologi': 'Sociology',
-     'Ekonomi': 'Economy',
-     'Bahasa Sunda': 'Sundanese',
-     'Bahasa Jawa': 'Javanese',
-     'PPKN': 'Civic education',
-}
-
-subject2group = {
-     'Sejarah': 'Humanities',
-     'Geografi': 'Social science',
-     'Bahasa Lampung': 'Local languages and cultures',
-     'IPS': 'Social science',
-     'Bahasa Bali': 'Local languages and cultures',
-     'Bahasa Makassar': 'Local languages and cultures',
-     'Bahasa Banjar': 'Local languages and cultures',
-     'Kimia': 'STEM',
-     'Biologi': 'STEM',
-     'IPA': 'STEM',
-     'Agama Kristen': 'Humanities',
-     'Kesenian': 'Humanities',
-     'Agama Islam': 'Humanities',
-     'Agama Hindu': 'Humanities',
-     'Bahasa Madura': 'Local languages and cultures',
-     'Penjaskes': 'Humanities',
-     'Bahasa Indonesia': 'Indonesian language',
-     'Fisika': 'STEM',
-     'Budaya Alam Minangkabau': 'Local languages and cultures',
-     'Bahasa Dayak Ngaju': 'Local languages and cultures',
-     'Sosiologi': 'Social science',
-     'Ekonomi': 'Social science',
-     'Bahasa Sunda': 'Local languages and cultures',
-     'Bahasa Jawa': 'Local languages and cultures',
-     'PPKN': 'Social science',
-}
-
-special_case = ['SD-SMP-SMA', 'SD-SMP']
-level_mapper = {
-     'SMA': 'SMA',
-     'Seleksi PTN': 'University entrance test',         
-     'SD': 'SD',
-     'SMP': 'SMP',
-     'Kelas I SD': 'SD',
-     'Kelas X SMA': 'SMA',
-     'Kelas XI SMA': 'SMA',
-     'Kelas XII SMA': 'SMA',
-     'V SD': 'SD',
-     'VI SD': 'SD',
-     'VII SMP': 'SMP',
-     'VIII SMP ': 'SMP',
-     'IX SMP': 'SMP',
-     'Kelas III SD':'SD',
-     'Kelas IV SD': 'SD',
-     'Kelas II SD': 'SD'
-}
-
-def fix_level(level, kelas):
-    #Fixing Level
-    if level in special_case:
-        kelas = float(kelas)
-        if kelas >=1 and kelas <= 6:
-            level = 'SD'
-        elif kelas >=7 and kelas <= 9:
-            level = 'SMP'
-        elif kelas >=10:
-            level = 'SMA'
-        else:
-            print(level)
-    fixed_level = level_mapper[level]
-
-    #Fixing class
-    fixed_kelas = -1
-    kelas = str(kelas)
-    if kelas.strip() in ['PTN', '2023-10-12 00:00:00']:
-        fixed_kelas = 13
-    elif kelas == '4,5,6':
-        fixed_kelas = 6
-    else:
-        fixed_kelas = int(float(kelas.strip()))
-    
-    # sanity check over the level and kelas
-    return fixed_level, fixed_kelas
-
-
-_URL = {
-    'test': "https://huggingface.co/datasets/indolem/IndoMMLU/resolve/main/IndoMMLU.csv",
-}
-
-class IndoMMLUConfig(datasets.BuilderConfig):
-    """IndoMMLUConfig for IndoMMLU"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for IndoStoryCloze.
-        **kwargs: keyword arguments forwarded to super.
-        """
-        # Version history:
-        # 1.0.0: Release version
-        super().__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.features = ['subject', 'group', 'level', 'class', 'question', 'options', 'answer', 'is_for_fewshot']
-
-
-class IndoMMLU(datasets.GeneratorBasedBuilder):
-    """The IndoMMLU Datasets."""
-
-    BUILDER_CONFIGS = [IndoMMLUConfig()]
-
-    def _info(self):
-        features = {feature: datasets.Value("string") for feature in self.config.features}
-
-        return datasets.DatasetInfo(
-                        description='IndoMMLU',
-                        features=datasets.Features(features),
-                        homepage='https://github.com/fajri91/IndoMMLU',
-                        citation=_CITATION
-        )
-
-    def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URL)
-
-        return [           
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"data_file": downloaded_file['test']}),
-        ]
-
-    def _generate_examples(self, data_file):
-        data = csv.DictReader(open(data_file, newline=''))
-        for i, row in enumerate(data):
-            fixed_level, fixed_kelas = fix_level(row['level'], row['kelas'])
-            yield i, {
-                "subject": subject2english[row['subject']],
-                "group": subject2group[row['subject']],
-                "level": fixed_level,
-                "class": fixed_kelas,
-                "question": row['soal'],
-                "options": row['jawaban'].split('\n'),
-                "answer": row['kunci'],
-                "is_for_fewshot": row['is_for_fewshot']
-            }