"""Times of India News Headlines Dataset""" import csv import datasets _CITATION = '''\\n@inproceedings{Casanueva2020, author = Mulin, title = Holiday Dataset, year = {2022}, month = {Mar}, note = {}, url = {}, booktitle = {} }''' _DESCRIPTION = """\ This news dataset is a holiday information of singapore from 2017 to 2022. """ _DATE = "Date" _DAY = "Day" _HOLIDAY = "Holiday" _HOMEPAGE = "" _LICENSE = "MIT" _TRAIN_DOWNLOAD_URL = 'https://raw.githubusercontent.com/ZhangLe59151/sg-dataset/main/holiday/holiday.csv' _TEST_DOWNLOAD_URL = 'https://raw.githubusercontent.com/ZhangLe59151/sg-dataset/main/holiday/holiday.csv' class TimesOfHoliday(datasets.GeneratorBasedBuilder): VERSION = datasets.Version("1.1.0") def _info(self): features = datasets.Features({_DATE: datasets.Value('string'), _DAY: datasets.Value('string'), _HOLIDAY: datasets.Value('string')}) return datasets.DatasetInfo( description=_DESCRIPTION, features=features, supervised_keys=None, homepage=_HOMEPAGE, citation=_CITATION, ) def _split_generators(self, dl_manager): train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL) test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL) return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}), datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}) ] def _generate_examples(self, filepath): with open(filepath, encoding='utf-8') as f: csv_reader = csv.reader(f, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True) next(csv_reader) for id_, row in enumerate(csv_reader): Date, Day, Holiday = row yield id_, { _DATE: str(Date), _DAY: Day, _HOLIDAY: Holiday, }