| """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, | |
| } |