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# 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.
"""Machine translation EN-AZ dataset based on Google Translate and National Library of Azerbaijan."""
import os
import datasets
_CITATION = """\
@InProceedings{
huggingface:dataset,
title={Machine translation EN-AZ dataset},
author={Learning Machine LLC},
year={2022}
}
"""
_DESCRIPTION = """\
Machine translation EN-AZ dataset based on Google Translate and National Library of Azerbaijan.
"""
_HOMEPAGE = "https://huggingface.co/datasets/learningmachineaz/translate_enaz_10m"
_LICENSE = "Apache"
_URL = "https://learningmachine.az/datasets/translate_enaz_10m.zip"
class TranslateEnaz10m(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
features = datasets.Features(
{
"translation": datasets.Value("string"),
"source_text": datasets.Value("string"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
data_dir = dl_manager.download_and_extract(_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"file_path": os.path.join(data_dir, "dataset_enaz_10m.tsv")
}
)
]
def _generate_examples(self, file_path):
with open(file_path, "r", encoding="utf-8") as f:
for id_, row in enumerate(f):
row = row.split("\t")
yield id_, {
"translation": row[0].strip(),
"source_text": row[1].strip(),
} |