Create IndoMMLU.py

IndoMMLU.py

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+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
+    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(kelas.strip())
+    
+    # sanity check over the level and kelas
+    return fixed_level, fixed_kelas
+
+
+_URL = {
+    'test': "https://huggingface.co/datasets/indolem/IndoMMLU/resolve/main/test.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(_URLs)
+
+        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_class,
+                "question": row['soal'],
+                "options": row['jawaban'].split('\n'),
+                "answer": row['kunci'],
+                "is_for_fewshot": row['is_for_fewshot']
+            }