Datasets:

anton-l
/

common_language

	# coding=utf-8
	# Copyright 2021 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.
	""" Common Language Dataset"""


	import glob
	import os

	import datasets


	_DATA_URL = "CommonLanguage.tar.gz"

	_CITATION = """\
	@dataset{ganesh_sinisetty_2021_5036977,
	author = {Ganesh Sinisetty and
	Pavlo Ruban and
	Oleksandr Dymov and
	Mirco Ravanelli},
	title = {CommonLanguage},
	month = jun,
	year = 2021,
	publisher = {Zenodo},
	version = {0.1},
	doi = {10.5281/zenodo.5036977},
	url = {https://doi.org/10.5281/zenodo.5036977}
	}
	"""

	_DESCRIPTION = """\
	This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database.
	The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language).
	The dataset has been extracted from CommonVoice to train language-id systems.
	"""

	_HOMEPAGE = "https://zenodo.org/record/5036977"

	_LICENSE = "https://creativecommons.org/licenses/by/4.0/legalcode"

	_LANGUAGES = [
	"Arabic",
	"Basque",
	"Breton",
	"Catalan",
	"Chinese_China",
	"Chinese_Hongkong",
	"Chinese_Taiwan",
	"Chuvash",
	"Czech",
	"Dhivehi",
	"Dutch",
	"English",
	"Esperanto",
	"Estonian",
	"French",
	"Frisian",
	"Georgian",
	"German",
	"Greek",
	"Hakha_Chin",
	"Indonesian",
	"Interlingua",
	"Italian",
	"Japanese",
	"Kabyle",
	"Kinyarwanda",
	"Kyrgyz",
	"Latvian",
	"Maltese",
	"Mangolian",
	"Persian",
	"Polish",
	"Portuguese",
	"Romanian",
	"Romansh_Sursilvan",
	"Russian",
	"Sakha",
	"Slovenian",
	"Spanish",
	"Swedish",
	"Tamil",
	"Tatar",
	"Turkish",
	"Ukranian",
	"Welsh",
	]


	class CommonLanguage(datasets.GeneratorBasedBuilder):
	VERSION = datasets.Version("0.1.0")

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(name="full", version=VERSION, description="The entire Common Language dataset"),
	]

	def _info(self):
	features = datasets.Features(
	{
	"client_id": datasets.Value("string"),
	"path": datasets.Value("string"),
	"sentence": datasets.Value("string"),
	"age": datasets.Value("string"),
	"gender": datasets.Value("string"),
	"language": datasets.ClassLabel(names=_LANGUAGES),
	}
	)

	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	supervised_keys=None,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""

	dl_path = dl_manager.download_and_extract(_DATA_URL)
	archive_path = os.path.join(dl_path, "common_voice_kpd/")

	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"archive_path": archive_path, "split": "train"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={"archive_path": archive_path, "split": "dev"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={"archive_path": archive_path, "split": "test"},
	),
	]

	def _generate_examples(self, archive_path, split):
	"""Yields examples."""

	csv_path_glob = os.path.join(archive_path, "**/", f"{split}.csv")

	key = 0
	for csv_path in sorted(glob.glob(csv_path_glob)):
	with open(csv_path, encoding="utf-16") as fin:
	next(fin) # skip the header
	for line in fin:
	client_id, wav_name, sentence, age, gender = line.strip().split("\t")[1:]
	language = csv_path.split("/")[-2]
	path = os.path.join(os.path.splitext(csv_path)[0], client_id, wav_name)

	yield key, {
	"client_id": client_id,
	"path": path,
	"sentence": sentence,
	"age": age,
	"gender": gender,
	"language": language,
	}
	key += 1