Datasets:
Commit
·
0867bca
1
Parent(s):
f26037b
Delete web_classification.py
Browse files- web_classification.py +0 -208
web_classification.py
DELETED
|
@@ -1,208 +0,0 @@
|
|
| 1 |
-
# Copyright 2022 The HuggingFace Datasets Authors and the current dataset script contributor.
|
| 2 |
-
#
|
| 3 |
-
# Licensed under the Apache License, Version 2.0 (the "License");
|
| 4 |
-
# you may not use this file except in compliance with the License.
|
| 5 |
-
# You may obtain a copy of the License at
|
| 6 |
-
#
|
| 7 |
-
# http://www.apache.org/licenses/LICENSE-2.0
|
| 8 |
-
#
|
| 9 |
-
# Unless required by applicable law or agreed to in writing, software
|
| 10 |
-
# distributed under the License is distributed on an "AS IS" BASIS,
|
| 11 |
-
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
| 12 |
-
# See the License for the specific language governing permissions and
|
| 13 |
-
# limitations under the License.
|
| 14 |
-
"""British Library Web Classification Dataset."""
|
| 15 |
-
|
| 16 |
-
import datasets
|
| 17 |
-
import csv
|
| 18 |
-
|
| 19 |
-
_CITATION = """\
|
| 20 |
-
TODO
|
| 21 |
-
"""
|
| 22 |
-
|
| 23 |
-
_DESCRIPTION = """\
|
| 24 |
-
The dataset comprises a manually curated selective archive produced by UKWA which includes the classification of sites into a two-tiered subject hierarchy.
|
| 25 |
-
"""
|
| 26 |
-
_HOMEPAGE = "https://doi.org/10.5259/ukwa.ds.1/classification/1"
|
| 27 |
-
|
| 28 |
-
_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
|
| 29 |
-
|
| 30 |
-
_URL = "https://bl.iro.bl.uk/downloads/78e2421a-70ea-426d-8a67-57e4a8b23019?locale=en"
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
class WebArchiveClassificationDataset(datasets.GeneratorBasedBuilder):
|
| 34 |
-
"""Web Archive Classification Dataset"""
|
| 35 |
-
|
| 36 |
-
VERSION = datasets.Version("1.1.0")
|
| 37 |
-
|
| 38 |
-
def _info(self):
|
| 39 |
-
features = datasets.Features(
|
| 40 |
-
{
|
| 41 |
-
"primary_category": datasets.ClassLabel(
|
| 42 |
-
names=[
|
| 43 |
-
"Arts & Humanities",
|
| 44 |
-
"Business, Economy & Industry",
|
| 45 |
-
"Company Web Sites",
|
| 46 |
-
"Computer Science, Information Technology and Web Technology",
|
| 47 |
-
"Crime, Criminology, Police and Prisons",
|
| 48 |
-
"Digital Society",
|
| 49 |
-
"Education & Research",
|
| 50 |
-
"Environment",
|
| 51 |
-
"Government, Law & Politics",
|
| 52 |
-
"History",
|
| 53 |
-
"Law and Legal System",
|
| 54 |
-
"Libraries, Archives and Museums",
|
| 55 |
-
"Life Sciences",
|
| 56 |
-
"Literature",
|
| 57 |
-
"Medicine & Health",
|
| 58 |
-
"Politics, Political Theory and Political Systems",
|
| 59 |
-
"Popular Science",
|
| 60 |
-
"Publishing, Printing and Bookselling",
|
| 61 |
-
"Religion",
|
| 62 |
-
"Science & Technology",
|
| 63 |
-
"Social Problems and Welfare",
|
| 64 |
-
"Society & Culture",
|
| 65 |
-
"Sports and Recreation",
|
| 66 |
-
"Travel & Tourism",
|
| 67 |
-
]
|
| 68 |
-
),
|
| 69 |
-
"secondary_category": datasets.ClassLabel(
|
| 70 |
-
names=[
|
| 71 |
-
"Architecture",
|
| 72 |
-
"Art and Design",
|
| 73 |
-
"Comedy and Humour",
|
| 74 |
-
"Dance",
|
| 75 |
-
"Family History / Genealogy",
|
| 76 |
-
"Film / Cinema",
|
| 77 |
-
"Geography",
|
| 78 |
-
"History",
|
| 79 |
-
"Languages",
|
| 80 |
-
"Literature",
|
| 81 |
-
"Live Art",
|
| 82 |
-
"Local History",
|
| 83 |
-
"Music",
|
| 84 |
-
"News and Contemporary Events",
|
| 85 |
-
"Oral History in the UK",
|
| 86 |
-
"Philosophy and Ethics",
|
| 87 |
-
"Publishing, Printing and Bookselling",
|
| 88 |
-
"Religion",
|
| 89 |
-
"TV and Radio",
|
| 90 |
-
"Theatre",
|
| 91 |
-
"Agriculture, Fishing, and Forestry",
|
| 92 |
-
"Banking, Insurance, Accountancy and Financial Economics",
|
| 93 |
-
"Business Studies and Management Theory",
|
| 94 |
-
"Company Web Sites",
|
| 95 |
-
"Credit Crunch",
|
| 96 |
-
"Economic Development, Enterprise and Aid",
|
| 97 |
-
"Economics and Economic Theory",
|
| 98 |
-
"Employment, Unemployment and Labour Economics",
|
| 99 |
-
"Energy",
|
| 100 |
-
"Industries",
|
| 101 |
-
"Marketing and Market Research",
|
| 102 |
-
"Trade, Commerce, and Globalisation",
|
| 103 |
-
"Transport and Infrastructure",
|
| 104 |
-
"Cambridge Network",
|
| 105 |
-
"Video Games",
|
| 106 |
-
"Governing the Police",
|
| 107 |
-
"Blogs",
|
| 108 |
-
"Dictionaries, Encyclopaedias, and Reference Works",
|
| 109 |
-
"Further Education",
|
| 110 |
-
"Higher Education",
|
| 111 |
-
"Libraries, Archives and Museums",
|
| 112 |
-
"Library Key Issues",
|
| 113 |
-
"Lifelong Learning",
|
| 114 |
-
"Preschool Education",
|
| 115 |
-
"School Education",
|
| 116 |
-
"Special Needs Education",
|
| 117 |
-
"Vocational Education",
|
| 118 |
-
"Indian Ocean Tsunami December 2004",
|
| 119 |
-
"Central Government",
|
| 120 |
-
"Civil Rights, Pressure Groups, and Trade Unions",
|
| 121 |
-
"Crime, Criminology, Police and Prisons",
|
| 122 |
-
"Devolved Government",
|
| 123 |
-
"European Parliament Elections 2009",
|
| 124 |
-
"Inter-Governmental Agencies",
|
| 125 |
-
"International Relations, Diplomacy, and Peace",
|
| 126 |
-
"Law and Legal System",
|
| 127 |
-
"Local Government",
|
| 128 |
-
"London Mayoral Election 2008",
|
| 129 |
-
"Political Parties",
|
| 130 |
-
"Politics, Political Theory and Political Systems",
|
| 131 |
-
"Public Inquiries",
|
| 132 |
-
"Scottish Parliamentary Election - 2007",
|
| 133 |
-
"Spending Cuts 2010: Impact on Social Welfare",
|
| 134 |
-
"UK General Election 2005",
|
| 135 |
-
"Slavery and Abolition in the Caribbean",
|
| 136 |
-
"Religion, politics and law since 2005",
|
| 137 |
-
"Evolving role of libraries in the UK",
|
| 138 |
-
"History of Libraries Collection",
|
| 139 |
-
"Darwin 200",
|
| 140 |
-
"19th Century English Literature",
|
| 141 |
-
"Alternative Medicine / Complementary Medicine",
|
| 142 |
-
"Conditions and Diseases",
|
| 143 |
-
"Health Organisations and Services",
|
| 144 |
-
"Medicines, Treatments and Therapies",
|
| 145 |
-
"Men's Issues",
|
| 146 |
-
"Mental Health",
|
| 147 |
-
"Pandemic Influenza",
|
| 148 |
-
"Personal Experiences of Illness",
|
| 149 |
-
"Public Health and Safety",
|
| 150 |
-
"Women's Issues",
|
| 151 |
-
"Political Action and Communication",
|
| 152 |
-
"E-publishing Trends",
|
| 153 |
-
"Free Church",
|
| 154 |
-
"Quakers",
|
| 155 |
-
"Computer Science, Information Technology and Web Technology",
|
| 156 |
-
"Engineering",
|
| 157 |
-
"Environment",
|
| 158 |
-
"Life Sciences",
|
| 159 |
-
"Mathematics",
|
| 160 |
-
"Physical Sciences",
|
| 161 |
-
"Popular Science",
|
| 162 |
-
"Zoology, Veterinary Science and Animal Health",
|
| 163 |
-
"Communities",
|
| 164 |
-
"Digital Society",
|
| 165 |
-
"Food and Drink",
|
| 166 |
-
"London Terrorist Attack 7th July 2005",
|
| 167 |
-
"Queen's Diamond Jubilee, 2012",
|
| 168 |
-
"Social Problems and Welfare",
|
| 169 |
-
"Sociology, Anthropology and Population Studies",
|
| 170 |
-
"Sports and Recreation",
|
| 171 |
-
"Travel & Tourism",
|
| 172 |
-
"British Countryside",
|
| 173 |
-
"Olympic & Paralympic Games 2012",
|
| 174 |
-
"Cornwall",
|
| 175 |
-
]
|
| 176 |
-
),
|
| 177 |
-
"title": datasets.Value("string"),
|
| 178 |
-
"url": datasets.Value("string"),
|
| 179 |
-
}
|
| 180 |
-
)
|
| 181 |
-
return datasets.DatasetInfo(
|
| 182 |
-
description=_DESCRIPTION,
|
| 183 |
-
features=features,
|
| 184 |
-
homepage=_HOMEPAGE,
|
| 185 |
-
license=_LICENSE,
|
| 186 |
-
citation=_CITATION,
|
| 187 |
-
)
|
| 188 |
-
|
| 189 |
-
def _split_generators(self, dl_manager):
|
| 190 |
-
|
| 191 |
-
csv_file = dl_manager.download_and_extract(_URL)
|
| 192 |
-
return [
|
| 193 |
-
datasets.SplitGenerator(
|
| 194 |
-
name=datasets.Split.TRAIN,
|
| 195 |
-
gen_kwargs={"csv_file": csv_file},
|
| 196 |
-
),
|
| 197 |
-
]
|
| 198 |
-
|
| 199 |
-
def _generate_examples(self, csv_file):
|
| 200 |
-
with open(csv_file) as f:
|
| 201 |
-
reader = csv.DictReader(f, dialect="excel-tab")
|
| 202 |
-
for id_, row in enumerate(reader):
|
| 203 |
-
yield id_, {
|
| 204 |
-
"primary_category": row["Primary Category"],
|
| 205 |
-
"secondary_category": row["Secondary Category"],
|
| 206 |
-
"title": row["Title"],
|
| 207 |
-
"url": row["URL"],
|
| 208 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|