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| """British Library Web Classification Dataset.""" |
|
|
| import datasets |
| import csv |
|
|
| _CITATION = """\ |
| TODO |
| """ |
|
|
| _DESCRIPTION = """\ |
| The dataset comprises a manually curated selective archive produced by UKWA which includes the classification of sites into a two-tiered subject hierarchy. |
| """ |
| _HOMEPAGE = "https://doi.org/10.5259/ukwa.ds.1/classification/1" |
|
|
| _LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/" |
|
|
| _URL = "https://bl.iro.bl.uk/downloads/78e2421a-70ea-426d-8a67-57e4a8b23019?locale=en" |
|
|
|
|
| class WebArchiveClassificationDataset(datasets.GeneratorBasedBuilder): |
| """Web Archive Classification Dataset""" |
|
|
| VERSION = datasets.Version("1.1.0") |
|
|
| def _info(self): |
| features = datasets.Features( |
| { |
| "primary_category": datasets.ClassLabel( |
| names=[ |
| "Arts & Humanities", |
| "Business, Economy & Industry", |
| "Company Web Sites", |
| "Computer Science, Information Technology and Web Technology", |
| "Crime, Criminology, Police and Prisons", |
| "Digital Society", |
| "Education & Research", |
| "Environment", |
| "Government, Law & Politics", |
| "History", |
| "Law and Legal System", |
| "Libraries, Archives and Museums", |
| "Life Sciences", |
| "Literature", |
| "Medicine & Health", |
| "Politics, Political Theory and Political Systems", |
| "Popular Science", |
| "Publishing, Printing and Bookselling", |
| "Religion", |
| "Science & Technology", |
| "Social Problems and Welfare", |
| "Society & Culture", |
| "Sports and Recreation", |
| "Travel & Tourism", |
| ] |
| ), |
| "secondary_category": datasets.ClassLabel( |
| names=[ |
| "Architecture", |
| "Art and Design", |
| "Comedy and Humour", |
| "Dance", |
| "Family History / Genealogy", |
| "Film / Cinema", |
| "Geography", |
| "History", |
| "Languages", |
| "Literature", |
| "Live Art", |
| "Local History", |
| "Music", |
| "News and Contemporary Events", |
| "Oral History in the UK", |
| "Philosophy and Ethics", |
| "Publishing, Printing and Bookselling", |
| "Religion", |
| "TV and Radio", |
| "Theatre", |
| "Agriculture, Fishing, and Forestry", |
| "Banking, Insurance, Accountancy and Financial Economics", |
| "Business Studies and Management Theory", |
| "Company Web Sites", |
| "Credit Crunch", |
| "Economic Development, Enterprise and Aid", |
| "Economics and Economic Theory", |
| "Employment, Unemployment and Labour Economics", |
| "Energy", |
| "Industries", |
| "Marketing and Market Research", |
| "Trade, Commerce, and Globalisation", |
| "Transport and Infrastructure", |
| "Cambridge Network", |
| "Video Games", |
| "Governing the Police", |
| "Blogs", |
| "Dictionaries, Encyclopaedias, and Reference Works", |
| "Further Education", |
| "Higher Education", |
| "Libraries, Archives and Museums", |
| "Library Key Issues", |
| "Lifelong Learning", |
| "Preschool Education", |
| "School Education", |
| "Special Needs Education", |
| "Vocational Education", |
| "Indian Ocean Tsunami December 2004", |
| "Central Government", |
| "Civil Rights, Pressure Groups, and Trade Unions", |
| "Crime, Criminology, Police and Prisons", |
| "Devolved Government", |
| "European Parliament Elections 2009", |
| "Inter-Governmental Agencies", |
| "International Relations, Diplomacy, and Peace", |
| "Law and Legal System", |
| "Local Government", |
| "London Mayoral Election 2008", |
| "Political Parties", |
| "Politics, Political Theory and Political Systems", |
| "Public Inquiries", |
| "Scottish Parliamentary Election - 2007", |
| "Spending Cuts 2010: Impact on Social Welfare", |
| "UK General Election 2005", |
| "Slavery and Abolition in the Caribbean", |
| "Religion, politics and law since 2005", |
| "Evolving role of libraries in the UK", |
| "History of Libraries Collection", |
| "Darwin 200", |
| "19th Century English Literature", |
| "Alternative Medicine / Complementary Medicine", |
| "Conditions and Diseases", |
| "Health Organisations and Services", |
| "Medicines, Treatments and Therapies", |
| "Men's Issues", |
| "Mental Health", |
| "Pandemic Influenza", |
| "Personal Experiences of Illness", |
| "Public Health and Safety", |
| "Women's Issues", |
| "Political Action and Communication", |
| "E-publishing Trends", |
| "Free Church", |
| "Quakers", |
| "Computer Science, Information Technology and Web Technology", |
| "Engineering", |
| "Environment", |
| "Life Sciences", |
| "Mathematics", |
| "Physical Sciences", |
| "Popular Science", |
| "Zoology, Veterinary Science and Animal Health", |
| "Communities", |
| "Digital Society", |
| "Food and Drink", |
| "London Terrorist Attack 7th July 2005", |
| "Queen's Diamond Jubilee, 2012", |
| "Social Problems and Welfare", |
| "Sociology, Anthropology and Population Studies", |
| "Sports and Recreation", |
| "Travel & Tourism", |
| "British Countryside", |
| "Olympic & Paralympic Games 2012", |
| "Cornwall", |
| ] |
| ), |
| "title": datasets.Value("string"), |
| "url": datasets.Value("string"), |
| } |
| ) |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=features, |
| homepage=_HOMEPAGE, |
| license=_LICENSE, |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
|
|
| csv_file = dl_manager.download_and_extract(_URL) |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={"csv_file": csv_file}, |
| ), |
| ] |
|
|
| def _generate_examples(self, csv_file): |
| with open(csv_file) as f: |
| reader = csv.DictReader(f, dialect="excel-tab") |
| for id_, row in enumerate(reader): |
| yield id_, { |
| "primary_category": row["Primary Category"], |
| "secondary_category": row["Secondary Category"], |
| "title": row["Title"], |
| "url": row["URL"], |
| } |
|
|
