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# 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 = "https://zenodo.org/record/5036977/files/CommonLanguage.tar.gz?download=1"
_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(os.sep)[-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
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