clickbait_news_bg / clickbait_news_bg.py
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Update files from the datasets library (from 1.6.1)
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# 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. """
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