Datasets:

singletongue
/

wikipedia-utils

	# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
	# 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.
	"""Wikipedia-Utils: Preprocessed Wikipedia Texts for NLP"""

	import io
	from typing import Iterator, List, Tuple

	import datasets
	import pyarrow as pa


	_DESCRIPTION = "Preprocessed Wikipedia texts generated with scripts in singletongue/wikipedia-utils repo."

	_HOMEPAGE = "https://github.com/singletongue/wikipedia-utils"

	_LICENSE = "The content of Wikipedia is licensed under the CC-BY-SA 3.0 and GFDL licenses."

	_URL_BASE = "https://github.com/singletongue/wikipedia-utils/releases/download"
	_URLS = {
	"corpus-jawiki-20240401": f"{_URL_BASE}/2024-04-01/corpus-jawiki-20240401.txt.gz",
	"corpus-jawiki-20240401-cirrus": f"{_URL_BASE}/2024-04-01/corpus-jawiki-20240401-cirrus.txt.gz",
	"corpus-jawiki-20240401-filtered-large": f"{_URL_BASE}/2024-04-01/corpus-jawiki-20240401-filtered-large.txt.gz",
	"paragraphs-jawiki-20240401": f"{_URL_BASE}/2024-04-01/paragraphs-jawiki-20240401.json.gz",
	"passages-c300-jawiki-20240401": f"{_URL_BASE}/2024-04-01/passages-c300-jawiki-20240401.json.gz",
	"passages-c400-jawiki-20240401": f"{_URL_BASE}/2024-04-01/passages-c400-jawiki-20240401.json.gz",
	"passages-para-jawiki-20240401": f"{_URL_BASE}/2024-04-01/passages-para-jawiki-20240401.json.gz",
	"corpus-jawiki-20230403": f"{_URL_BASE}/2023-04-03/corpus-jawiki-20230403.txt.gz",
	"corpus-jawiki-20230403-cirrus": f"{_URL_BASE}/2023-04-03/corpus-jawiki-20230403-cirrus.txt.gz",
	"corpus-jawiki-20230403-filtered-large": f"{_URL_BASE}/2023-04-03/corpus-jawiki-20230403-filtered-large.txt.gz",
	"paragraphs-jawiki-20230403": f"{_URL_BASE}/2023-04-03/paragraphs-jawiki-20230403.json.gz",
	"passages-c300-jawiki-20230403": f"{_URL_BASE}/2023-04-03/passages-c300-jawiki-20230403.json.gz",
	"passages-c400-jawiki-20230403": f"{_URL_BASE}/2023-04-03/passages-c400-jawiki-20230403.json.gz",
	"passages-para-jawiki-20230403": f"{_URL_BASE}/2023-04-03/passages-para-jawiki-20230403.json.gz",
	}

	_VERSION = datasets.Version("1.0.0")


	class WikipediaUtils(datasets.ArrowBasedBuilder):
	"""Wikipedia-Utils dataset."""

	BUILDER_CONFIGS = [datasets.BuilderConfig(name=name, version=_VERSION) for name in _URLS.keys()]

	def _info(self) -> datasets.DatasetInfo:
	if self.config.name.startswith("corpus"):
	features = datasets.Features({"text": datasets.Value("string")})
	elif self.config.name.startswith("paragraphs"):
	features = datasets.Features(
	{
	"id": datasets.Value("string"),
	"pageid": datasets.Value("int64"),
	"revid": datasets.Value("int64"),
	"paragraph_index": datasets.Value("int64"),
	"title": datasets.Value("string"),
	"section": datasets.Value("string"),
	"text": datasets.Value("string"),
	"html_tag": datasets.Value("string"),
	}
	)
	elif self.config.name.startswith("passages"):
	features = datasets.Features(
	{
	"id": datasets.Value("int64"),
	"pageid": datasets.Value("int64"),
	"revid": datasets.Value("int64"),
	"title": datasets.Value("string"),
	"section": datasets.Value("string"),
	"text": datasets.Value("string"),
	}
	)
	else:
	raise ValueError("Invalid dataset config name is specified.")

	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	)

	def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
	url = _URLS[self.config.name]
	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]]:
	if self.config.name.startswith("corpus"):
	with open(filepath) 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
	elif self.config.name.startswith(("paragraphs", "passages")):
	with open(filepath, "rb") as f:
	batch_idx = 0
	block_size = max(chunksize // 32, 16 << 10)
	while True:
	batch = f.read(chunksize)
	if not batch:
	break

	batch += f.readline()
	pa_table = pa.json.read_json(
	io.BytesIO(batch), read_options=pa.json.ReadOptions(block_size=block_size)
	)

	yield batch_idx, pa_table
	batch_idx += 1
	else:
	raise ValueError("Invalid dataset config name is specified.")