| """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, |
| } |
