Datasets:
interpress_news_category_tr

	# coding=utf-8
	# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.
	# Lint as: python3
	"""Turkish News Category Dataset (270K) - Interpress Media Monitoring Company"""


	import csv
	import os

	import datasets


	logger = datasets.logging.get_logger(__name__)


	_DESCRIPTION = """\
	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.
	"""

	_CITATION = ""
	_LICENSE = "unknown"
	_HOMEPAGE = "https://www.interpress.com/"
	_DOWNLOAD_URL = "https://www.interpress.com/downloads/interpress_news_category_tr_270k.zip"
	_DATASET_URLS = {
	"train": "interpress_news_category_tr_270k_train.tsv",
	"test": "interpress_news_category_tr_270k_test.tsv",
	}


	class InterpressNewsCategoryTRConfig(datasets.BuilderConfig):
	"""BuilderConfig for InterpressNewsCategoryTR."""

	def __init__(self, **kwargs):
	"""BuilderConfig for InterpressNewsCategoryTR.

	Args:
	**kwargs: keyword arguments forwarded to super.
	"""
	super(InterpressNewsCategoryTRConfig, self).__init__(**kwargs)


	class InterpressNewsCategoryTR(datasets.GeneratorBasedBuilder):
	"""Turkish News Category Dataset (270K) - Interpress Media Monitoring Company"""

	BUILDER_CONFIGS = [
	InterpressNewsCategoryTRConfig(
	name="270k",
	version=datasets.Version("1.0.0"),
	description="Turkish News Category Dataset (270K) - Interpress Media Monitoring Company",
	),
	]

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"id": datasets.Value("int32"),
	"title": datasets.Value("string"),
	"content": datasets.Value("string"),
	"category": datasets.features.ClassLabel(
	names=[
	"aktuel",
	"bilisim",
	"egitim",
	"ekonomi",
	"gida",
	"iletisim",
	"kultursanat",
	"magazin",
	"saglik",
	"savunma",
	"seyahat",
	"siyasi",
	"spor",
	"teknoloji",
	"ticaret",
	"turizm",
	"yasam",
	]
	),
	"categorycode": datasets.features.ClassLabel(num_classes=17),
	"publishdatetime": datasets.Value("string"),
	}
	),
	supervised_keys=None,
	homepage=_HOMEPAGE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	dl_dir = dl_manager.download_and_extract(_DOWNLOAD_URL)
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(dl_dir, _DATASET_URLS["train"])}
	),
	datasets.SplitGenerator(
	name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(dl_dir, _DATASET_URLS["test"])}
	),
	]

	def _generate_examples(self, filepath):
	"""Generate InterpressNewsCategoryTR examples."""
	logger.info("⏳ Generating examples from = %s", filepath)
	with open(filepath, encoding="utf-8") as f:
	reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
	for idx, row in enumerate(reader):
	yield idx, {
	"id": row["ID"],
	"title": row["Title"],
	"content": row["Content"],
	"category": row["Category"],
	"categorycode": row["CategoryCode"],
	"publishdatetime": row["PublishDateTime"],
	}