Datasets:

biglam
/

old_bailey_proceedings

	# 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.

	import os
	import datasets
	import glob
	import xml.etree.ElementTree as ET

	_CITATION = """@article{Howard2017,
	author = "Sharon Howard",
	title = "{Old Bailey Online XML Data}",
	year = "2017",
	month = "4",
	url = "https://figshare.shef.ac.uk/articles/dataset/Old_Bailey_Online_XML_Data/4775434",
	doi = "10.15131/shef.data.4775434.v2"
	}
	"""


	_DESCRIPTION = """The dataset consists of 2,163 transcriptions of the Proceedings and 475 Ordinary's Accounts marked up in TEI-XML,
	and contains some documentation covering the data structure and variables. Each Proceedings file represents one session of the court (1674-1913),
	and each Ordinary's Account file represents a single pamphlet (1676-1772)
	"""

	_HOMEPAGE = "https://www.dhi.ac.uk/projects/old-bailey/"

	_DATASETNAME = "old_bailey_proceedings"

	_LICENSE = "Creative Commons Attribution 4.0 International"

	_URLS = {
	_DATASETNAME: "https://www.dhi.ac.uk/san/data/oldbailey/oldbailey.zip",
	}

	logger = datasets.utils.logging.get_logger(__name__)


	class OldBaileyProceedings(datasets.GeneratorBasedBuilder):
	"""The dataset consists of 2,163 transcriptions of the Proceedings and 475 Ordinary's Accounts marked up in TEI-XML,
	and contains some documentation covering the data structure and variables. Each Proceedings file represents one session of the court (1674-1913),
	and each Ordinary's Account file represents a single pamphlet (1676-1772)"""

	VERSION = datasets.Version("7.2.0")

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

	def _split_generators(self, dl_manager):
	urls = _URLS[_DATASETNAME]
	data_dir = dl_manager.download_and_extract(urls)
	oa_dir = "ordinarysAccounts"
	obp_dir = "sessionsPapers"
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"data_dirs": {
	"OA": os.path.join(data_dir, oa_dir),
	"OBP": os.path.join(data_dir, obp_dir),
	},
	},
	),
	]

	def convert_text_to_features(self, file, key):
	if key == "OA":
	root_tag = "p"
	else:
	root_tag = "div1/p"
	try:
	xml_data = ET.parse(file)
	root = xml_data.getroot()
	start = root.find("./text/body/div0")
	id = start.attrib["id"]
	date = start.find("interp[@type='date']").attrib["value"]
	text_parts = []
	places, persons = [], []
	for content in start.findall(root_tag):
	for place in content.findall("placeName"):
	if place.text:
	place_name = place.text.replace("\n", "").strip()
	if place_name:
	places.append(place.text)
	for person in content.findall("persName"):
	full_name = []
	for name_part in person.itertext():
	name_part = (
	name_part.replace("\n", "").replace("\t", "").strip()
	)
	if name_part:
	full_name.append(name_part)
	if full_name:
	persons.append(" ".join(full_name))
	for text_snippet in content.itertext():
	text_snippet = (
	text_snippet.replace("\n", "").replace("\t", "").strip()
	)
	if text_snippet:
	text_parts.append(text_snippet)
	full_text = " ".join(text_parts)
	return 0, {
	"id": id,
	"date": date,
	"type": key,
	"places": places,
	"persons": persons,
	"text": full_text,
	}
	except Exception as e:
	return -1, repr(e)

	def _generate_examples(self, data_dirs):
	for key, data_dir in data_dirs.items():
	for file in glob.glob(os.path.join(data_dir, "*.xml")):
	status_code, ret_val = self.convert_text_to_features(file, key)
	if status_code:
	logger.warn(f"{file}:{ret_val}")
	input()
	continue
	else:
	yield ret_val["id"], ret_val