Convert dataset to Parquet
#3
by
garrethlee
HF staff
- opened
- IndoMMLU.csv +0 -0
- IndoMMLU.py +0 -172
- README.md +29 -0
- data/test-00000-of-00001.parquet +3 -0
IndoMMLU.csv
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IndoMMLU.py
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import csv
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import datasets
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_CITATION = """\
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@inproceedings{koto-etal-2023-indommlu,
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title = "Large Language Models Only Pass Primary School Exams in {I}ndonesia: A Comprehensive Test on {I}ndo{MMLU}",
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author = "Fajri Koto and Nurul Aisyah and Haonan Li and Timothy Baldwin",
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booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
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month = December,
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year = "2023",
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address = "Singapore",
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publisher = "Association for Computational Linguistics",
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}"""
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subject2english = {
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'Sejarah': 'History',
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'Geografi': 'Geography',
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'Bahasa Lampung': 'Lampungic',
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'IPS': 'Social science',
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'Bahasa Bali': 'Balinese',
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'Bahasa Makassar': 'Makassarese',
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'Bahasa Banjar': 'Banjarese',
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'Kimia': 'Chemistry',
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'Biologi': 'Biology',
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'IPA': 'Science',
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'Agama Kristen': 'Christian religion',
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'Kesenian': 'Art',
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'Agama Islam': 'Islam religion',
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'Agama Hindu': 'Hindu religion',
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'Bahasa Madura': 'Madurese',
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'Penjaskes': 'Sport',
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'Bahasa Indonesia': 'Indonesian language',
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'Fisika': 'Physics',
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'Budaya Alam Minangkabau': 'Minangkabau culture',
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'Bahasa Dayak Ngaju': 'Dayak language',
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'Sosiologi': 'Sociology',
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'Ekonomi': 'Economy',
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'Bahasa Sunda': 'Sundanese',
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'Bahasa Jawa': 'Javanese',
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'PPKN': 'Civic education',
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}
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subject2group = {
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'Sejarah': 'Humanities',
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'Geografi': 'Social science',
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'Bahasa Lampung': 'Local languages and cultures',
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'IPS': 'Social science',
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'Bahasa Bali': 'Local languages and cultures',
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'Bahasa Makassar': 'Local languages and cultures',
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'Bahasa Banjar': 'Local languages and cultures',
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'Kimia': 'STEM',
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'Biologi': 'STEM',
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'IPA': 'STEM',
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'Agama Kristen': 'Humanities',
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'Kesenian': 'Humanities',
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'Agama Islam': 'Humanities',
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'Agama Hindu': 'Humanities',
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'Bahasa Madura': 'Local languages and cultures',
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'Penjaskes': 'Humanities',
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'Bahasa Indonesia': 'Indonesian language',
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'Fisika': 'STEM',
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'Budaya Alam Minangkabau': 'Local languages and cultures',
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'Bahasa Dayak Ngaju': 'Local languages and cultures',
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'Sosiologi': 'Social science',
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'Ekonomi': 'Social science',
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'Bahasa Sunda': 'Local languages and cultures',
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'Bahasa Jawa': 'Local languages and cultures',
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'PPKN': 'Social science',
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}
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special_case = ['SD-SMP-SMA', 'SD-SMP']
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level_mapper = {
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'SMA': 'SMA',
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'Seleksi PTN': 'University entrance test',
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'SD': 'SD',
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'SMP': 'SMP',
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'Kelas I SD': 'SD',
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'Kelas X SMA': 'SMA',
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'Kelas XI SMA': 'SMA',
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'Kelas XII SMA': 'SMA',
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'V SD': 'SD',
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'VI SD': 'SD',
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'VII SMP': 'SMP',
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'VIII SMP ': 'SMP',
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'IX SMP': 'SMP',
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'Kelas III SD':'SD',
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'Kelas IV SD': 'SD',
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'Kelas II SD': 'SD'
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}
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def fix_level(level, kelas):
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#Fixing Level
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if level in special_case:
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kelas = float(kelas)
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if kelas >=1 and kelas <= 6:
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level = 'SD'
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elif kelas >=7 and kelas <= 9:
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level = 'SMP'
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elif kelas >=10:
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level = 'SMA'
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else:
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print(level)
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fixed_level = level_mapper[level]
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#Fixing class
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fixed_kelas = -1
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kelas = str(kelas)
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if kelas.strip() in ['PTN', '2023-10-12 00:00:00']:
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fixed_kelas = 13
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elif kelas == '4,5,6':
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fixed_kelas = 6
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else:
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fixed_kelas = int(float(kelas.strip()))
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# sanity check over the level and kelas
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return fixed_level, fixed_kelas
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_URL = {
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'test': "https://huggingface.co/datasets/indolem/IndoMMLU/resolve/main/IndoMMLU.csv",
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}
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class IndoMMLUConfig(datasets.BuilderConfig):
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"""IndoMMLUConfig for IndoMMLU"""
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def __init__(self, **kwargs):
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"""BuilderConfig for IndoStoryCloze.
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**kwargs: keyword arguments forwarded to super.
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"""
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# Version history:
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# 1.0.0: Release version
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super().__init__(version=datasets.Version("1.0.0"), **kwargs)
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self.features = ['subject', 'group', 'level', 'class', 'question', 'options', 'answer', 'is_for_fewshot']
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class IndoMMLU(datasets.GeneratorBasedBuilder):
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"""The IndoMMLU Datasets."""
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BUILDER_CONFIGS = [IndoMMLUConfig()]
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def _info(self):
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features = {feature: datasets.Value("string") for feature in self.config.features}
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return datasets.DatasetInfo(
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description='IndoMMLU',
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features=datasets.Features(features),
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homepage='https://github.com/fajri91/IndoMMLU',
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citation=_CITATION
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)
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def _split_generators(self, dl_manager):
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downloaded_file = dl_manager.download_and_extract(_URL)
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return [
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"data_file": downloaded_file['test']}),
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]
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def _generate_examples(self, data_file):
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data = csv.DictReader(open(data_file, newline=''))
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for i, row in enumerate(data):
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fixed_level, fixed_kelas = fix_level(row['level'], row['kelas'])
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yield i, {
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"subject": subject2english[row['subject']],
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"group": subject2group[row['subject']],
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"level": fixed_level,
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"class": fixed_kelas,
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"question": row['soal'],
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"options": row['jawaban'].split('\n'),
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"answer": row['kunci'],
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"is_for_fewshot": row['is_for_fewshot']
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}
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README.md
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@@ -9,6 +9,35 @@ tags:
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pretty_name: IndoMMLU
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size_categories:
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- 10K<n<100K
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---
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# IndoMMLU
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pretty_name: IndoMMLU
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size_categories:
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- 10K<n<100K
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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dataset_info:
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features:
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- name: subject
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dtype: string
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- name: group
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dtype: string
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- name: level
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dtype: string
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- name: class
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dtype: string
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- name: question
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dtype: string
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- name: options
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dtype: string
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- name: answer
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dtype: string
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- name: is_for_fewshot
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dtype: string
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splits:
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- name: test
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num_bytes: 5294005
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num_examples: 14981
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download_size: 2216431
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dataset_size: 5294005
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---
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# IndoMMLU
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data/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2061d9e558f022682fd554890dca2bffe30652bad4284b0168c5a0e4858e597
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size 2216431
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