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"""Turkish News Category Dataset (270K) - Interpress Media Monitoring Company""" |
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import csv |
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import os |
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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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It is a Turkish news data set consisting of 273601 news in 17 categories, compiled from print media and news websites between 2010 and 2017 by the Interpress (https://www.interpress.com/) media monitoring company. |
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""" |
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_CITATION = "" |
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_LICENSE = "unknown" |
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_HOMEPAGE = "https://www.interpress.com/" |
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_DOWNLOAD_URL = "https://www.interpress.com/downloads/interpress_news_category_tr_270k.zip" |
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_DATASET_URLS = { |
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"train": "interpress_news_category_tr_270k_train.tsv", |
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"test": "interpress_news_category_tr_270k_test.tsv", |
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} |
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class InterpressNewsCategoryTRConfig(datasets.BuilderConfig): |
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"""BuilderConfig for InterpressNewsCategoryTR.""" |
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def __init__(self, **kwargs): |
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"""BuilderConfig for InterpressNewsCategoryTR. |
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Args: |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super(InterpressNewsCategoryTRConfig, self).__init__(**kwargs) |
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class InterpressNewsCategoryTR(datasets.GeneratorBasedBuilder): |
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"""Turkish News Category Dataset (270K) - Interpress Media Monitoring Company""" |
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BUILDER_CONFIGS = [ |
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InterpressNewsCategoryTRConfig( |
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name="270k", |
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version=datasets.Version("1.0.0"), |
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description="Turkish News Category Dataset (270K) - Interpress Media Monitoring Company", |
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), |
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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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"id": datasets.Value("int32"), |
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"title": datasets.Value("string"), |
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"content": datasets.Value("string"), |
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"category": datasets.features.ClassLabel( |
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names=[ |
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"aktuel", |
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"bilisim", |
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"egitim", |
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"ekonomi", |
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"gida", |
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"iletisim", |
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"kultursanat", |
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"magazin", |
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"saglik", |
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"savunma", |
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"seyahat", |
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"siyasi", |
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"spor", |
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"teknoloji", |
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"ticaret", |
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"turizm", |
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"yasam", |
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] |
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), |
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"categorycode": datasets.features.ClassLabel(num_classes=17), |
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"publishdatetime": datasets.Value("string"), |
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} |
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), |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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dl_dir = dl_manager.download_and_extract(_DOWNLOAD_URL) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(dl_dir, _DATASET_URLS["train"])} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(dl_dir, _DATASET_URLS["test"])} |
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), |
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] |
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def _generate_examples(self, filepath): |
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"""Generate InterpressNewsCategoryTR examples.""" |
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logger.info("⏳ Generating examples from = %s", filepath) |
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with open(filepath, encoding="utf-8") as f: |
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reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE) |
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for idx, row in enumerate(reader): |
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yield idx, { |
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"id": row["ID"], |
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"title": row["Title"], |
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"content": row["Content"], |
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"category": row["Category"], |
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"categorycode": row["CategoryCode"], |
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"publishdatetime": row["PublishDateTime"], |
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} |
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