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1460b42
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Delete loading script
Browse files- old_bailey_proceedings.py +0 -149
old_bailey_proceedings.py
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import datasets
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import glob
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import xml.etree.ElementTree as ET
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_CITATION = """@article{Howard2017,
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author = "Sharon Howard",
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title = "{Old Bailey Online XML Data}",
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year = "2017",
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month = "4",
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url = "https://figshare.shef.ac.uk/articles/dataset/Old_Bailey_Online_XML_Data/4775434",
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doi = "10.15131/shef.data.4775434.v2"
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}
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"""
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_DESCRIPTION = """The dataset consists of 2,163 transcriptions of the Proceedings and 475 Ordinary's Accounts marked up in TEI-XML,
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and contains some documentation covering the data structure and variables. Each Proceedings file represents one session of the court (1674-1913),
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and each Ordinary's Account file represents a single pamphlet (1676-1772)
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"""
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_HOMEPAGE = "https://www.dhi.ac.uk/projects/old-bailey/"
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_DATASETNAME = "old_bailey_proceedings"
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_LICENSE = "Creative Commons Attribution 4.0 International"
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_URL = "https://www.dhi.ac.uk/san/data/oldbailey/oldbailey.zip"
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logger = datasets.utils.logging.get_logger(__name__)
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class OldBaileyProceedings(datasets.GeneratorBasedBuilder):
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"""The dataset consists of 2,163 transcriptions of the Proceedings and 475 Ordinary's Accounts marked up in TEI-XML,
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and contains some documentation covering the data structure and variables. Each Proceedings file represents one session of the court (1674-1913),
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and each Ordinary's Account file represents a single pamphlet (1676-1772)"""
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VERSION = datasets.Version("7.2.0")
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def _info(self):
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features = datasets.Features(
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{
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"id": datasets.Value("string"),
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"text": datasets.Value("string"),
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"places": datasets.Sequence(datasets.Value("string")),
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"type": datasets.Value("string"),
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"persons": datasets.Sequence(datasets.Value("string")),
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"date": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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data_dir = dl_manager.download_and_extract(_URL)
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oa_dir = "ordinarysAccounts"
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obp_dir = "sessionsPapers"
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_dirs": {
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"OA": os.path.join(data_dir, oa_dir),
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"OBP": os.path.join(data_dir, obp_dir),
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},
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},
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),
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]
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def convert_text_to_features(self, file, key):
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if key == "OA":
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root_tag = "p"
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else:
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root_tag = "div1/p"
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try:
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xml_data = ET.parse(file)
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root = xml_data.getroot()
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start = root.find("./text/body/div0")
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id = start.attrib["id"]
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date = start.find("interp[@type='date']").attrib["value"]
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text_parts = []
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places, persons = [], []
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for content in start.findall(root_tag):
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for place in content.findall("placeName"):
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if place.text:
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place_name = place.text.replace("\n", "").strip()
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if place_name:
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places.append(place.text)
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for person in content.findall("persName"):
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full_name = []
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for name_part in person.itertext():
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name_part = (
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name_part.replace("\n", "").replace("\t", "").strip()
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)
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if name_part:
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full_name.append(name_part)
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if full_name:
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persons.append(" ".join(full_name))
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for text_snippet in content.itertext():
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text_snippet = (
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text_snippet.replace("\n", "").replace("\t", "").strip()
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)
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if text_snippet:
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text_parts.append(text_snippet)
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full_text = " ".join(text_parts)
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return (
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0,
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{
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"id": id,
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"date": date,
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"type": key,
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"places": places,
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"persons": persons,
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"text": full_text,
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},
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)
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except Exception as e:
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return -1, repr(e)
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def _generate_examples(self, data_dirs):
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for key, data_dir in data_dirs.items():
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for file in glob.glob(os.path.join(data_dir, "*.xml")):
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status_code, ret_val = self.convert_text_to_features(file, key)
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if status_code:
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logger.exception(
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f"{os.path.basename(file)} could not be parsed properly"
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)
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continue
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else:
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yield ret_val["id"], ret_val
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