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jawiki-sentences / jawiki-sentences.py

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set the default encoding to utf-8

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	# Copyright 2020 The HuggingFace Datasets Authors.
	# Copyright 2023 Masatoshi Suzuki (@singletongue).
	#
	# 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.
	import io
	from typing import Iterator, List, Tuple

	import datasets
	import pyarrow as pa


	_DESCRIPTION = (
	"書籍『大規模言語モデル入門』で使用する Wikipedia 文のデータセットです。"
	"GitHub リポジトリ singletongue/wikipedia-utils で公開されているデータセットを利用しています。"
	)
	_HOMEPAGE = "https://github.com/singletongue/wikipedia-utils"
	_LICENSE = (
	"本データセットで使用している Wikipedia のコンテンツは、クリエイティブ・コモンズ表示・継承ライセンス 3.0 (CC BY-SA 3.0) "
	"および GNU 自由文書ライセンス (GFDL) の下に配布されているものです。"
	)

	_URL = "https://github.com/singletongue/wikipedia-utils/releases/download/2023-04-03/corpus-jawiki-20230403.txt.gz"


	class JaWikiSentences(datasets.ArrowBasedBuilder):
	VERSION = datasets.Version("1.0.0")

	def _info(self) -> datasets.DatasetInfo:
	features = datasets.Features({"text": datasets.Value("string")})
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	features=features,
	)

	def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
	filepath = dl_manager.download_and_extract(_URL)
	return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": filepath})]

	def _generate_tables(self, filepath: str, chunksize: int = 10 << 20) -> Iterator[Tuple[int, pa.Table]]:
	# cf. https://github.com/huggingface/datasets/blob/2.12.0/src/datasets/packaged_modules/text/text.py
	with open(filepath, encoding="utf-8") as f:
	batch_idx = 0
	while True:
	batch = f.read(chunksize)
	if not batch:
	break

	batch += f.readline()
	batch = [line.rstrip("\n") for line in io.StringIO(batch).readlines()]
	pa_table = pa.Table.from_arrays([pa.array(batch)], names=["text"])

	yield batch_idx, pa_table
	batch_idx += 1