Datasets:

NbAiLab
/

norwegian_parliament

	# coding=utf-8
	# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.
	"""Norwegian Parliament Speeches (1998, 2016)"""
	import csv

	import datasets


	_CITATION = """
	@InProceedings{--,
	author = {---},
	title = {---},
	booktitle = {---},
	year = 2021,
	address = "---"
	}
	"""

	_DESCRIPTION = """\
	The Norwegian Parliament Speeches is a collection of text passages from
	1998 to 2016 and pronounced at the Norwegian Parliament (Storting) by members
	of the two major parties: Fremskrittspartiet and Sosialistisk Venstreparti.
	"""


	_HOMEPAGE = "https://github.com/NBAiLab/notram/"

	_BASE_URL = "https://storage.googleapis.com/notram-public/finetune_datasets/parliament_speeches_1998_2016_frp_or_sv"
	_URLS = {
	"train": f"{_BASE_URL}/train.csv",
	"dev": f"{_BASE_URL}/dev.csv",
	"test": f"{_BASE_URL}/test.csv",
	}


	class NorwegianParliament(datasets.GeneratorBasedBuilder):
	"""Norwegian Parliament Speeches (1998, 2016)"""

	VERSION = datasets.Version("1.0.0")

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"text": datasets.Value("string"),
	"label": datasets.ClassLabel(names=["Fremskrittspartiet", "Sosialistisk Venstreparti"]),
	"date": datasets.Value("string"),
	}
	),
	supervised_keys=None,
	homepage=_HOMEPAGE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	downloaded_files = dl_manager.download(_URLS)
	return [
	datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
	datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
	datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
	]

	def _generate_examples(self, filepath):
	with open(filepath, encoding="utf-8") as csv_file:
	csv_reader = csv.reader(csv_file, delimiter=",")
	for idx, (label, text, _, date) in enumerate(csv_reader):
	label = int(label)
	yield int(idx), {
	"text": text,
	"label": label,
	"date": date,
	}