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# coding=utf-8
# 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.
"""Mann Ki Baat (mkb) Corpus"""
import os
import datasets
_CITATION = """\
@misc{siripragada2020multilingual,
title={A Multilingual Parallel Corpora Collection Effort for Indian Languages},
author={Shashank Siripragada and Jerin Philip and Vinay P. Namboodiri and C V Jawahar},
year={2020},
eprint={2007.07691},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
"""
_DESCRIPTION = """\
The Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages.
"""
_URL = "http://preon.iiit.ac.in/~jerin/resources/datasets/mkb-v0.tar"
_LanguagePairs = [
"or-ur",
"ml-or",
"bn-ta",
"gu-mr",
"hi-or",
"en-or",
"mr-ur",
"en-ta",
"hi-ta",
"bn-en",
"bn-or",
"ml-ta",
"gu-ur",
"bn-ml",
"bn-hi",
"gu-te",
"hi-ml",
"or-te",
"en-ml",
"en-hi",
"mr-te",
"bn-te",
"gu-hi",
"ta-ur",
"te-ur",
"gu-ml",
"hi-te",
"en-te",
"ml-te",
"hi-ur",
"mr-or",
"en-ur",
"ml-ur",
"bn-mr",
"gu-ta",
"bn-gu",
"bn-ur",
"ml-mr",
"or-ta",
"ta-te",
"gu-or",
"en-gu",
"hi-mr",
"mr-ta",
"en-mr",
]
class MkbConfig(datasets.BuilderConfig):
"""BuilderConfig for Mkb"""
def __init__(self, language_pair, **kwargs):
super().__init__(**kwargs)
"""
Args:
language_pair: language pair, you want to load
**kwargs: keyword arguments forwarded to super.
"""
self.language_pair = language_pair
class Mkb(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("0.0.0")
BUILDER_CONFIG_CLASS = MkbConfig
BUILDER_CONFIGS = [MkbConfig(name=pair, description=_DESCRIPTION, language_pair=pair) for pair in _LanguagePairs]
def _info(self):
src_tag, tgt_tag = self.config.language_pair.split("-")
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({"translation": datasets.features.Translation(languages=(src_tag, tgt_tag))}),
supervised_keys=(src_tag, tgt_tag),
homepage="http://preon.iiit.ac.in/~jerin/resources/datasets/mkb-v0.tar",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
lang_pair = self.config.language_pair
src_tag, tgt_tag = lang_pair.split("-")
dl_dir = dl_manager.download_and_extract(_URL)
data_dir = os.path.join(dl_dir, "mkb", lang_pair)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, f"mkb.{src_tag}"),
"labelpath": os.path.join(data_dir, f"mkb.{tgt_tag}"),
},
)
]
def _generate_examples(self, filepath, labelpath):
"""Yields examples."""
src_tag, tgt_tag = self.config.language_pair.split("-")
with open(filepath, encoding="utf-8") as f1, open(labelpath, encoding="utf-8") as f2:
src = f1.read().split("\n")[:-1]
tgt = f2.read().split("\n")[:-1]
for idx, (s, t) in enumerate(zip(src, tgt)):
yield idx, {"translation": {src_tag: s, tgt_tag: t}}
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