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import json |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_DESCRIPTION = """\ |
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Ukrainian News Dataset |
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This is a dataset of news articles downloaded from various Ukrainian websites. The dataset contains approximately 10 569 428 JSON objects (news) |
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""" |
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_URL = "ukrainian-news-1.json" |
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_URLS = [ |
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"ukrainian-news-1.json", |
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"ukrainian-news-2.json", |
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"ukrainian-news-3.json", |
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"ukrainian-news-4.json", |
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"ukrainian-news-5.json" |
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] |
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class UkrainianNews(datasets.GeneratorBasedBuilder): |
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"""Ukrainian News Dataset""" |
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VERSION = datasets.Version("0.0.1") |
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DEFAULT_CONFIG_NAME = "default" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="default", version=VERSION, description=""), |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"url": datasets.Value("string"), |
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"title": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"owner": datasets.Value("string"), |
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"datetime": datasets.Value("string"), |
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} |
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) |
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) |
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def _split_generators(self, dl_manager): |
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downloaded_files = dl_manager.download_and_extract(_URLS) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}) |
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] |
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def _generate_examples(self, filepath): |
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"""This function returns the examples in the raw (text) form.""" |
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key = 0 |
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with open(filepath, encoding="utf-8") as f: |
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news = json.load(f) |
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for article in news: |
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yield key, article |
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key += 1 |
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