Datasets:
clickbait_news_bg

	# 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.

	""" Dataset with clickbait and fake news in Bulgarian. """

	from __future__ import absolute_import, division, print_function

	import openpyxl # noqa: requires this pandas optional dependency for reading xlsx files
	import pandas as pd

	import datasets


	_CITATION = """\
	@InProceedings{clickbait_news_bg,
	title = {Dataset with clickbait and fake news in Bulgarian. Introduced for the Hack the Fake News 2017.},
	authors={Data Science Society},
	year={2017},
	url={https://gitlab.com/datasciencesociety/case_fake_news/}
	}
	"""

	# TODO: Add description of the dataset here
	# You can copy an official description
	_DESCRIPTION = """\
	Dataset with clickbait and fake news in Bulgarian. Introduced for the Hack the Fake News 2017.
	"""

	# TODO: Add a link to an official homepage for the dataset here
	_HOMEPAGE = "https://gitlab.com/datasciencesociety/case_fake_news/"

	# TODO: Add the licence for the dataset here if you can find it
	_LICENSE = ""

	# TODO: Add link to the official dataset URLs here
	# The HuggingFace dataset library don't host the datasets but only point to the original files
	# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
	_URLs = {
	"default_train": "https://gitlab.com/datasciencesociety/case_fake_news/-/raw/master/data/FN_Training_Set.xlsx",
	"default_validation": "https://gitlab.com/datasciencesociety/case_fake_news/-/raw/master/data/FN_Validation_Set.xlsx",
	}


	class ClickbaitNewsBG(datasets.GeneratorBasedBuilder):
	VERSION = datasets.Version("1.1.0")
	DEFAULT_CONFIG_NAME = "default"

	def _info(self):
	if self.config.name == "default":
	features = datasets.Features(
	{
	"fake_news_score": datasets.features.ClassLabel(names=["legitimate", "fake"]),
	"click_bait_score": datasets.features.ClassLabel(names=["normal", "clickbait"]),
	"content_title": datasets.Value("string"),
	"content_url": datasets.Value("string"),
	"content_published_time": datasets.Value("string"),
	"content": datasets.Value("string"),
	}
	)
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	supervised_keys=None,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	data_dir = dl_manager.download(_URLs)

	return [
	datasets.SplitGenerator(
	name=spl_enum,
	gen_kwargs={
	"filepath": data_dir[f"{self.config.name}_{spl}"],
	"split": spl,
	},
	)
	for spl, spl_enum in [
	("train", datasets.Split.TRAIN),
	("validation", datasets.Split.VALIDATION),
	]
	]

	def _generate_examples(self, filepath, split):
	""" Yields examples. """
	keys = [
	"fake_news_score",
	"click_bait_score",
	"content_title",
	"content_url",
	"content_published_time",
	"content",
	]
	with open(filepath, "rb") as f:
	data = pd.read_excel(f, engine="openpyxl")
	for id_, row in enumerate(data.itertuples()):
	row_dict = dict()
	for key, value in zip(keys, row[1:]):
	if key == "fake_news_score":
	row_dict[key] = "legitimate" if value == 1 else "fake"
	elif key == "click_bait_score":
	row_dict[key] = "normal" if value == 1 else "clickbait"
	else:
	row_dict[key] = str(value)
	yield id_, row_dict