Datasets:

vblagoje
/

cc_news

	# coding=utf-8
	# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
	#
	# 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
	"""The CC-News dataset is based on Common Crawl News Dataset by Sebastian Nagel"""

	import json
	import os
	from fnmatch import fnmatch

	import datasets


	logger = datasets.logging.get_logger(__name__)


	_DESCRIPTION = """\
	CC-News containing news articles from news sites all over the world \
	The data is available on AWS S3 in the Common Crawl bucket at /crawl-data/CC-NEWS/. \
	This version of the dataset has 708241 articles. It represents a small portion of English \
	language subset of the CC-News dataset created using news-please(Hamborg et al.,2017) to \
	collect and extract English language portion of CC-News.
	"""

	_CITATION = """\
	@InProceedings{Hamborg2017,
	author = {Hamborg, Felix and Meuschke, Norman and Breitinger, Corinna and Gipp, Bela},
	title = {news-please: A Generic News Crawler and Extractor},
	year = {2017},
	booktitle = {Proceedings of the 15th International Symposium of Information Science},
	location = {Berlin},
	doi = {10.5281/zenodo.4120316},
	pages = {218--223},
	month = {March}
	}
	"""
	_PROJECT_URL = "https://commoncrawl.org/2016/10/news-dataset-available/"
	_DOWNLOAD_URL = "https://storage.googleapis.com/huggingface-nlp/datasets/cc_news/cc_news.tar.gz"


	class CCNewsConfig(datasets.BuilderConfig):
	"""BuilderConfig for CCNews."""

	def __init__(self, **kwargs):
	"""BuilderConfig for CCNews.
	Args:
	**kwargs: keyword arguments forwarded to super.
	"""
	super(CCNewsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)


	class CCNews(datasets.GeneratorBasedBuilder):
	"""CC-News dataset."""

	BUILDER_CONFIGS = [
	CCNewsConfig(
	name="plain_text",
	description="Plain text",
	)
	]

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"title": datasets.Value("string"),
	"text": datasets.Value("string"),
	"domain": datasets.Value("string"),
	"date": datasets.Value("string"),
	"description": datasets.Value("string"),
	"url": datasets.Value("string"),
	"image_url": datasets.Value("string"),
	}
	),
	supervised_keys=None,
	homepage=_PROJECT_URL,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	archive = dl_manager.download(_DOWNLOAD_URL)

	return [
	datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": dl_manager.iter_archive(archive)}),
	]

	def _generate_examples(self, files):
	id_ = 0
	for article_file_path, f in files:
	if fnmatch(os.path.basename(article_file_path), "*.json"):
	article = json.load(f)
	yield id_, {
	"title": article["title"].strip() if article["title"] is not None else "",
	"text": article["maintext"].strip() if article["maintext"] is not None else "",
	"domain": article["source_domain"].strip() if article["source_domain"] is not None else "",
	"date": article["date_publish"].strip() if article["date_publish"] is not None else "",
	"description": article["description"].strip() if article["description"] is not None else "",
	"url": article["url"].strip() if article["url"] is not None else "",
	"image_url": article["image_url"].strip() if article["image_url"] is not None else "",
	}
	id_ += 1