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"""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,
} |