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import os |
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import json |
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import datasets |
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import typing as tp |
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_LABELS = [ |
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'IT과학', |
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'경제', |
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'사회', |
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'생활문화', |
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'세계', |
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'스포츠', |
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'정치' |
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] |
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class YNAT(datasets.GeneratorBasedBuilder): |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=None, |
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features=datasets.Features({ |
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"text": datasets.Value("string"), |
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"label": datasets.features.ClassLabel( |
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names=_LABELS |
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) |
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}), |
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homepage=None, |
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citation=None |
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) |
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> tp.List[datasets.SplitGenerator]: |
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path = os.getcwd() |
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train_filepath = os.path.join(path, 'train.json') |
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dev_filepath = os.path.join(path, 'dev.json') |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepath': train_filepath}), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={'filepath': dev_filepath}), |
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] |
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def _generate_examples(self, filepath): |
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with open(filepath, 'r', encoding='utf-8') as fp: |
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lines = json.load(fp) |
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for idx, line in enumerate(lines): |
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text = str(line['text']) |
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label = int(_LABELS.index(line['label'])) |
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yield idx, {'text': text, 'label': label} |
