Datasets:

imvladikon
/

knesset_meetings_corpus

	import glob
	import os
	from functools import partial

	import datasets

	VERSION = datasets.Version("0.0.1")

	SUBSET_NAMES = [
	"kneset16",
	"kneset17",
	"knesset_tagged",
	]


	class KnessetMeetingsCorpus(datasets.GeneratorBasedBuilder):
	"""Knesset meetings corpus"""

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(name=name, version=VERSION,
	description=f"{name} meetings corpus")
	for name in SUBSET_NAMES
	]

	def _info(self):
	return datasets.DatasetInfo(
	description="A corpus of transcriptions of Knesset (Israeli parliament) meetings between January 2004 and November 2005",
	features=datasets.Features(
	{
	"path": datasets.Value("string"),
	"text": datasets.Value("string"),
	}
	),
	homepage="https://zenodo.org/record/2707356",
	citation="""TODO""",
	)

	def _split_generators(self, dl_manager):
	downloader = partial(
	lambda split: dl_manager.download_and_extract(
	f"data/{self.config.name}.tar.gz"),
	)

	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"root_path": downloader("train"),
	"split": "train",
	"subset_name": self.config.name,
	},
	)
	]

	def _generate_examples(self, root_path, split, subset_name):
	data_folder = os.path.join(root_path, subset_name)
	if subset_name == "knesset_tagged":
	for xml_file in glob.glob(f"{data_folder}/16/*.xml"):
	uid = os.path.splitext(os.path.basename(xml_file))[0]
	yield uid, {
	"path": xml_file,
	"text": None,
	}
	else:
	for txt_file in glob.glob(f"{data_folder}/txt/*.txt"):
	uid = os.path.splitext(os.path.basename(txt_file))[0]
	docx_file = os.path.join(data_folder, "docx", f"{uid}.docx")
	yield uid, {
	"path": docx_file,
	"text": open(txt_file, "r").read(),
	}