Datasets:

NbAiLab
/

norwegian_parliament

	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://huggingface.co/datasets/NbAiLab/norwegian_parliament/raw/main/data/"
	_URLS = {
	"train": f"{_BASE_URL}train.tsv",
	"dev": f"{_BASE_URL}dev.tsv",
	"test": f"{_BASE_URL}test.tsv",
	}

	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"]),
	}
	),
	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 file:
	reader = csv.reader(file, delimiter="\t")
	#next(reader) # Skip the header
	for idx, row in enumerate(reader):
	label, text = row
	yield idx, {
	"text": text,
	"label": label,
	}