Datasets:

biglam
/

lampeter_corpus

	# 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 Lampeter Corpus of Early Modern English Tracts is a collection of texts
	on various subject matter published between 1640 and 1740 – a time that is marked
	by the rise of mass publication, the development of a public discourse in many
	areas of everyday life and, last but not least, the standardisation of British English."""

	from bs4 import BeautifulSoup
	import datasets

	_CITATION = """ @misc{20.500.12024/3193,
	title = {The Lampeter Corpus of Early Modern English Tracts},
	url = {http://hdl.handle.net/20.500.12024/3193},
	note = {Oxford Text Archive},
	copyright = {Distributed by the University of Oxford under a Creative Commons Attribution-{ShareAlike} 3.0 Unported License},
	"""

	_DESCRIPTION = """The Lampeter Corpus of Early Modern English Tracts is a collection of texts on
	various subject matter published between 1640 and 1740 – a time that is marked by the rise of mass
	publication, the development of a public discourse in many areas of everyday life
	and, last but not least, the standardisation of British English.
	"""

	_HOMEPAGE = "https://ota.bodleian.ox.ac.uk/repository/xmlui/handle/20.500.12024/3193"

	_LICENSE = "Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)"

	_URL = "https://ota.bodleian.ox.ac.uk/repository/xmlui/bitstream/handle/20.500.12024/3193/3193.xml?sequence=9&isAllowed=y"

	_CLASS_MAP = {"L": "Law", "E": "Economy", "M": "Miscellaneous", "P": "Politics", "S": "Science", "R": "Religion"}

	class LampeterCorpus(datasets.GeneratorBasedBuilder):
	""" The Lampeter Corpus of Early Modern English Tracts is a collection of texts on
	various subject matter published between 1640 and 1740. Each text is associated with a year
	and one of the following topics: Law, Economy, Religion, Poitics, Science, Miscellaneous
	"""

	VERSION = datasets.Version("1.0.0")

	def _info(self):
	features = datasets.Features(
	{
	"id": datasets.Value("string"),
	"text": datasets.Value("string"),
	"date": datasets.Value("string"),
	"genre": datasets.Value("string"),
	"head": datasets.Value("string"),
	"title": datasets.Value("string")
	}
	)
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	data_file = dl_manager.download(_URL)
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"filepath": data_file,
	"split": "train",
	},
	),
	]

	def _generate_examples(self, filepath, split):
	with open(filepath, encoding="utf-8") as f:
	soup=BeautifulSoup(f, features='xml')
	for entry in soup.find_all("TEI"):
	text_parts = []
	title_with_id = entry.teiHeader.fileDesc.titleStmt.title.text
	id, title = title_with_id.split(":", maxsplit=1)
	id = id.strip()
	title=title.strip()
	date=id[-4:]
	content = entry.find("text")
	head=content.find("body").find("head")
	if head:
	head=head.text
	else:
	head=""
	body_parts=content.find("body").find_all("p")
	for body_part in body_parts:
	text_parts.append(body_part.text)
	full_text = " ".join(text_parts)
	genre=_CLASS_MAP[id[0]]
	data_point = {
	"id": id,
	"text": full_text,
	"genre": genre,
	"date": date,
	"head": head,
	"title": title
	}
	yield id, data_point