Datasets:
bookcorpusopen

	# coding=utf-8
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	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
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	#
	# http://www.apache.org/licenses/LICENSE-2.0
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	# Lint as: python3
	"""The BookCorpus dataset based on Shawn Presser's work https://github.com/soskek/bookcorpus/issues/27 """


	import os
	from fnmatch import fnmatch

	import datasets
	from datasets.exceptions import DefunctDatasetError


	_DESCRIPTION = """\
	Books are a rich source of both fine-grained information, how a character, \
	an object or a scene looks like, as well as high-level semantics, what \
	someone is thinking, feeling and how these states evolve through a story.\

	This version of bookcorpus has 17868 dataset items (books). Each item contains \
	two fields: title and text. The title is the name of the book (just the file name) \
	while text contains unprocessed book text. The bookcorpus has been prepared by \
	Shawn Presser and is generously hosted by The-Eye. The-Eye is a non-profit, community \
	driven platform dedicated to the archiving and long-term preservation of any and \
	all data including but by no means limited to... websites, books, games, software, \
	video, audio, other digital-obscura and ideas.
	"""

	_CITATION = """\
	@InProceedings{Zhu_2015_ICCV,
	title = {Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books},
	author = {Zhu, Yukun and Kiros, Ryan and Zemel, Rich and Salakhutdinov, Ruslan and Urtasun, Raquel and Torralba, Antonio and Fidler, Sanja},
	booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
	month = {December},
	year = {2015}
	}
	"""
	_PROJECT_URL = "https://github.com/soskek/bookcorpus/issues/27"
	_HOST_URL = "https://the-eye.eu"
	_DOWNLOAD_URL = f"{_HOST_URL}/public/AI/pile_preliminary_components/books1.tar.gz"


	class BookCorpusOpenConfig(datasets.BuilderConfig):
	"""BuilderConfig for BookCorpus."""

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


	class BookCorpusOpen(datasets.GeneratorBasedBuilder):
	"""BookCorpus dataset."""

	DEFAULT_WRITER_BATCH_SIZE = 256 # documents are full books and are quite heavy

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

	def _info(self):
	raise DefunctDatasetError(
	"Dataset 'bookcorpusopen' is defunct and no longer accessible due to unavailability of the source data"
	)
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"title": datasets.Value("string"),
	"text": 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={"book_files": dl_manager.iter_archive(archive)}
	),
	]

	def _generate_examples(self, book_files):
	_id = 0
	for book_file_path, f in book_files:
	name = os.path.basename(book_file_path)
	if fnmatch(name, "*.epub.txt"):
	yield _id, {"title": name, "text": f.read().decode("utf-8")},
	_id += 1