Datasets:
wiki_lingua

	# 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.
	"""TODO: Add a description here."""


	import pickle

	import datasets


	# Find for instance the citation on arxiv or on the dataset repo/website
	_CITATION = """\
	@article{ladhak-wiki-2020,
	title = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},
	authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
	journal = {arXiv preprint arXiv:2010.03093},
	year = {2020},
	url = {https://arxiv.org/abs/2010.03093}
	}
	"""

	_DESCRIPTION = """\
	WikiLingua is a large-scale multilingual dataset for the evaluation of
	crosslingual abstractive summarization systems. The dataset includes ~770k
	article and summary pairs in 18 languages from WikiHow. The gold-standard
	article-summary alignments across languages was done by aligning the images
	that are used to describe each how-to step in an article.
	"""

	_HOMEPAGE = "https://github.com/esdurmus/Wikilingua"

	_LICENSE = "CC BY-NC-SA 3.0"

	# Download links
	_URLs = {
	"arabic": "https://drive.google.com/uc?export=download&id=1__EjA6oZsgXQpggPm-h54jZu3kP6Y6zu",
	"chinese": "https://drive.google.com/uc?export=download&id=1TuWH7uwu6V90QWmZn25qhou1rm97Egmn",
	"czech": "https://drive.google.com/uc?export=download&id=1GcUN6mytEcOMBBOvjJOQzBmEkc-LdgQg",
	"dutch": "https://drive.google.com/uc?export=download&id=1-w-0uqaC6hnRn1F_3XqJEvi09zlcTIhX",
	"english": "https://drive.google.com/uc?export=download&id=11wMGqNVSwwk6zUnDaJEgm3qT71kAHeff",
	"french": "https://drive.google.com/uc?export=download&id=1Uit4Og1pk-br_0UJIO5sdhApyhTuHzqo",
	"german": "https://drive.google.com/uc?export=download&id=1meSNZHxd_0TZLKCRCYGN-Ke3IA5c1qOE",
	"hindi": "https://drive.google.com/uc?export=download&id=1ZyFGufe4puX3vjGPbp4xg9Hca3Gwq22g",
	"indonesian": "https://drive.google.com/uc?export=download&id=1PGa8j1_IqxiGTc3SU6NMB38sAzxCPS34",
	"italian": "https://drive.google.com/uc?export=download&id=1okwGJiOZmTpNRNgJLCnjFF4Q0H1z4l6_",
	"japanese": "https://drive.google.com/uc?export=download&id=1Z2ty5hU0tIGRZRDlFQZLO7b5vijRfvo0",
	"korean": "https://drive.google.com/uc?export=download&id=1cqu_YAgvlyVSzzjcUyP1Cz7q0k8Pw7vN",
	"portuguese": "https://drive.google.com/uc?export=download&id=1GTHUJxxmjLmG2lnF9dwRgIDRFZaOY3-F",
	"russian": "https://drive.google.com/uc?export=download&id=1fUR3MqJ8jTMka6owA0S-Fe6aHmiophc_",
	"spanish": "https://drive.google.com/uc?export=download&id=1KtMDsoYNukGP89PLujQTGVgt37cOARs5",
	"thai": "https://drive.google.com/uc?export=download&id=1QsV8C5EPJrQl37mwva_5-IJOrCaOi2tH",
	"turkish": "https://drive.google.com/uc?export=download&id=1M1M5yIOyjKWGprc3LUeVVwxgKXxgpqxm",
	"vietnamese": "https://drive.google.com/uc?export=download&id=17FGi8KI9N9SuGe7elM8qU8_3fx4sfgTr",
	}


	class WikiLingua(datasets.GeneratorBasedBuilder):
	"""TODO: Short description of my dataset."""

	VERSION = datasets.Version("1.1.1")

	# This is an example of a dataset with multiple configurations.
	# If you don't want/need to define several sub-sets in your dataset,
	# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.

	# If you need to make complex sub-parts in the datasets with configurable options
	# You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
	# BUILDER_CONFIG_CLASS = MyBuilderConfig

	# You will be able to load one or the other configurations in the following list with
	# data = datasets.load_dataset('my_dataset', 'first_domain')
	# data = datasets.load_dataset('my_dataset', 'second_domain')
	BUILDER_CONFIGS = [
	datasets.BuilderConfig(name="arabic", version=VERSION, description="A subset of article-summary in Arabic"),
	datasets.BuilderConfig(name="chinese", version=VERSION, description="A subset of article-summary in Chinese"),
	datasets.BuilderConfig(name="czech", version=VERSION, description="A subset of article-summary in Czech"),
	datasets.BuilderConfig(name="dutch", version=VERSION, description="A subset of article-summary in Dutch"),
	datasets.BuilderConfig(name="english", version=VERSION, description="A subset of article-summary in English"),
	datasets.BuilderConfig(name="french", version=VERSION, description="A subset of article-summary in French"),
	datasets.BuilderConfig(name="german", version=VERSION, description="A subset of article-summary in German"),
	datasets.BuilderConfig(name="hindi", version=VERSION, description="A subset of article-summary in Hindi"),
	datasets.BuilderConfig(
	name="indonesian", version=VERSION, description="A subset of article-summary in Indonesian"
	),
	datasets.BuilderConfig(name="italian", version=VERSION, description="A subset of article-summary in Italian"),
	datasets.BuilderConfig(
	name="japanese", version=VERSION, description="A subset of article-summary in Japanese"
	),
	datasets.BuilderConfig(name="korean", version=VERSION, description="A subset of article-summary in Korean"),
	datasets.BuilderConfig(
	name="portuguese", version=VERSION, description="A subset of article-summary in Portuguese"
	),
	datasets.BuilderConfig(name="russian", version=VERSION, description="A subset of article-summary in Russian"),
	datasets.BuilderConfig(name="spanish", version=VERSION, description="A subset of article-summary in Spanish"),
	datasets.BuilderConfig(name="thai", version=VERSION, description="A subset of article-summary in Thai"),
	datasets.BuilderConfig(name="turkish", version=VERSION, description="A subset of article-summary in Turkish"),
	datasets.BuilderConfig(
	name="vietnamese", version=VERSION, description="A subset of article-summary in Vietnamese"
	),
	]

	DEFAULT_CONFIG_NAME = "english"

	def _info(self):
	if self.config.name == "english":
	features = datasets.Features(
	{
	"url": datasets.Value("string"),
	"article": datasets.Sequence(
	{
	"section_name": datasets.Value("string"),
	"document": datasets.Value("string"),
	"summary": datasets.Value("string"),
	}
	),
	}
	)
	else:
	features = datasets.Features(
	{
	"url": datasets.Value("string"),
	"article": datasets.Sequence(
	{
	"section_name": datasets.Value("string"),
	"document": datasets.Value("string"),
	"summary": datasets.Value("string"),
	"english_url": datasets.Value("string"),
	"english_section_name": datasets.Value("string"),
	}
	),
	}
	)

	return datasets.DatasetInfo(
	# This is the description that will appear on the datasets page.
	description=_DESCRIPTION,
	# This defines the different columns of the dataset and their types
	features=features, # Here we define them above because they are different between the two configurations
	# If there's a common (input, target) tuple from the features,
	# specify them here. They'll be used if as_supervised=True in
	# builder.as_dataset.
	supervised_keys=None,
	# Homepage of the dataset for documentation
	homepage=_HOMEPAGE,
	# License for the dataset if available
	license=_LICENSE,
	# Citation for the dataset
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	my_urls = _URLs[self.config.name]
	# See create_dummy.py to create new dummy data
	train_fname = dl_manager.download_and_extract(my_urls)
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	# These kwargs will be passed to _generate_examples
	gen_kwargs={
	"filepath": train_fname,
	"split": "train",
	},
	),
	]

	def _process_article(self, article):
	"""Parse the article and convert into list of dict"""
	processed_article = []
	for key, value in article.items():
	row = {"section_name": key, "document": value["document"], "summary": value["summary"]}

	if self.config.name != "english":
	row["english_url"] = value["english_url"]
	row["english_section_name"] = value["english_section_name"]
	processed_article.append(row)

	return processed_article

	def _generate_examples(self, filepath, split):
	"""Yields examples."""
	with open(filepath, "rb") as f:
	data = pickle.load(f)
	for id_, row in enumerate(data.items()):
	yield id_, {"url": row[0], "article": self._process_article(row[1])}