Datasets:
mkb

	# coding=utf-8
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	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
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	# http://www.apache.org/licenses/LICENSE-2.0
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	# distributed under the License is distributed on an "AS IS" BASIS,
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	"""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}}