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openwebtext_split / openwebtext_split.py

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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.
	"""The Open WebText Corpus"""


	import os
	import re
	from itertools import chain
	import tarfile
	import lzma

	import datasets


	_CITATION = """\
	@misc{Gokaslan2019OpenWeb,
	title={OpenWebText Corpus},
	author={Aaron Gokaslan, Vanya Cohen, Ellie Pavlick, Stefanie Tellex},
	howpublished{\\url{http://Skylion007.github.io/OpenWebTextCorpus}},
	year={2019}
	}
	"""

	_DESCRIPTION = """\
	An open-source replication of the WebText dataset from OpenAI.
	"""

	_URL = "https://zenodo.org/record/3834942/files/openwebtext.tar.xz"

	def custom_iter_archive(path_or_buf, _filter=lambda x: True):
	decompressor = lzma.LZMADecompressor()
	def _iter_archive(f):
	stream = tarfile.open(fileobj=f, mode="r\|*")
	for i, tarinfo in enumerate(stream):
	if not _filter(i):
	continue
	file_path = tarinfo.name
	if not tarinfo.isreg():
	continue
	if file_path is None:
	continue
	if os.path.basename(file_path).startswith(".") or os.path.basename(file_path).startswith("__"):
	# skipping hidden files
	continue
	if not file_path.endswith('xz'):
	continue
	file_obj = stream.extractfile(tarinfo)
	decompressed = tarfile.open(fileobj=file_obj, mode='r\|xz')
	for j, xzinfo in enumerate(decompressed):
	if not xzinfo.name.endswith('txt'):
	continue
	txt_file = decompressed.extractfile(xzinfo)
	yield txt_file
	stream.members = []
	del stream
	if hasattr(path_or_buf, "read"):
	yield from _iter_archive(path_or_buf)
	else:
	with open(path_or_buf, "rb") as f:
	yield from _iter_archive(f)

	class Openwebtext(datasets.GeneratorBasedBuilder):
	"""The Open WebText dataset."""

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(
	name="plain_text",
	description="Plain text",
	version=datasets.Version("1.0.0"),
	)
	]

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features({"text": datasets.Value("string")}),
	homepage="https://skylion007.github.io/OpenWebTextCorpus/",
	citation=_CITATION,
	)

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

	train_filter = lambda x : (x%10) < 8
	val_filter = lambda x: (x%10) == 8
	test_filter = lambda x: (x%10) == 9
	return [
	datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": custom_iter_archive(archive, train_filter)}),
	datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"files": custom_iter_archive(archive, val_filter)}),
	datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"files": custom_iter_archive(archive, test_filter)}),
	]

	def _generate_examples(self, files):
	"""Yields examples."""
	idx = 0
	for f in files:
	lines = f.readlines()
	for line in lines:
	line_str = line.decode().strip()
	if line_str:
	idx+=1
	yield idx, {"text": line_str}