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# 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
from datetime import datetime
_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("date64"),
"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):
dt_format = "%Y"
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 = datetime.strptime(id[-4:], dt_format)
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
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