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# coding=utf-8
# Copyright 2021 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.
"""Digitised historic newspapers from the BNL"""
import xml.etree.ElementTree as ET
from datetime import datetime
from pathlib import Path
import datasets
from datasets.tasks import LanguageModeling
_CITATION = """\
@misc{bnl_newspapers,
title={Historical Newspapers},
url={https://data.bnl.lu/data/historical-newspapers/},
author={ Bibliothèque nationale du Luxembourg},
"""
_DESCRIPTION = """\
Digitised historic newspapers from the Bibliothèque nationale (BnL) - the National Library of Luxembourg.
"""
_HOMEPAGE = "https://data.bnl.lu/data/historical-newspapers/"
_LICENSE = "CC0"
_URLs = {"processed": "https://data.bnl.lu/open-data/digitization/newspapers/export01-newspapers1841-1878.zip"}
class BNLNewspapersConfig(datasets.BuilderConfig):
"""Builder config for BNLNewspapers"""
def __init__(self, data_url, citation, url, **kwargs):
"""
Args:
data_url: `string`, url to download the zip file from.
citation: `string`, citation for the data set.
url: `string`, url for information about the data set.
**kwargs: keyword arguments forwarded to super.
"""
super(BNLNewspapersConfig, self).__init__(version=datasets.Version("1.17.0"), **kwargs)
self.data_url = data_url
self.citation = citation
self.url = url
class BNLNewspapers(datasets.GeneratorBasedBuilder):
"""Historic newspapers from the BNL"""
BUILDER_CONFIGS = [
BNLNewspapersConfig(
name="processed",
description="""This dataset covers the 'processed newspapers' portion of the BnL newspapers.
These newspapers cover 38 years of news (1841-1878) and include 510,505 extracted articles.
""",
data_url=_URLs["processed"],
citation=_CITATION,
url=_HOMEPAGE,
),
]
DEFAULT_CONFIG_NAME = "processed"
def _info(self):
features = datasets.Features(
{
"id": datasets.Value("string"),
"source": datasets.Value("string"),
"url": datasets.Value("string"),
"title": datasets.Value("string"),
"ispartof": datasets.Value("string"),
"text": datasets.Value("string"),
"pub_date": datasets.Value("timestamp[s]"),
"publisher": datasets.Value("string"),
"language": datasets.Value("string"),
"article_type": datasets.ClassLabel(
names=[
"ADVERTISEMENT_SECTION",
"BIBLIOGRAPHY",
"CHAPTER",
"INDEX",
"CONTRIBUTION",
"TABLE_OF_CONTENTS",
"WEATHER",
"SHIPPING",
"SECTION",
"ARTICLE",
"TITLE_SECTION",
"DEATH_NOTICE",
"SUPPLEMENT",
"TABLE",
"ADVERTISEMENT",
"CHART_DIAGRAM",
"ILLUSTRATION",
"ISSUE",
]
),
"extent": datasets.Value("int32"),
}
)
return datasets.DatasetInfo(
# This is the description that will appear on the datasets page.
description=_DESCRIPTION,
# This defines the different columns of the dataset and their types
features=features, # Here we define them above because they are different between the two configurations
# If there's a common (input, target) tuple from the features,
# specify them here. They'll be used if as_supervised=True in
# builder.as_dataset.
supervised_keys=None,
# Homepage of the dataset for documentation
homepage=_HOMEPAGE,
# License for the dataset if available
license=_LICENSE,
# Citation for the dataset
citation=_CITATION,
task_templates=[LanguageModeling(text_column="text")],
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
_URL = self.config.data_url
data_dir = dl_manager.download_and_extract(_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
# These kwargs will be passed to _generate_examples
gen_kwargs={
"dirpath": data_dir,
},
),
]
def _generate_examples(
self,
dirpath,
):
"""Yields examples as (key, example) tuples."""
ns = {
"": "http://www.openarchives.org/OAI/2.0/",
"xsi": "http://www.w3.org/2001/XMLSchema-instance",
"oai_dc": "http://www.openarchives.org/OAI/2.0/oai_dc/",
"dc": "http://purl.org/dc/elements/1.1/",
"dcterms": "http://purl.org/dc/terms/",
}
for id_, xml in enumerate(Path(dirpath).rglob("**/*.xml")):
tree = ET.parse(open(xml, encoding="utf-8"))
source = tree.find(".//dc:source", ns).text
ark_id = tree.find(".//dc:identifier", ns).text
ispartof = tree.find(".//dcterms:isPartOf", ns).text
date = tree.find(".//dc:date", ns).text
if date:
date = datetime.strptime(date, "%Y-%m-%d")
publisher = tree.find(".//dc:publisher", ns)
if publisher is not None:
publisher = publisher.text
hasversion = tree.find(".//dcterms:hasVersion", ns).text
description = tree.find(".//dc:description", ns).text
title = tree.find(".//dc:title", ns).text
article_type = tree.find(".//dc:type", ns).text
extent = tree.find(".//dcterms:extent", ns).text
language = tree.find(".//dc:language", ns)
if language is not None:
language = language.text
yield id_, {
"id": ark_id,
"source": source,
"url": hasversion,
"title": title,
"text": description,
"pub_date": date,
"publisher": publisher,
"article_type": article_type,
"extent": extent,
"ispartof": ispartof,
"language": language,
}
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