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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.
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"
_URL = "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):
data_dir = dl_manager.download_and_extract(_URL)
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.exception(
f"{os.path.basename(file)} could not be parsed properly"
)
continue
else:
yield ret_val["id"], ret_val
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