Datasets:

ignatius
/

igbo_english_machine_translation

	# coding=utf-8
	# Copyright 2020 HuggingFace Datasets Authors.
	#
	# 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.

	# Lint as: python3
	import datasets


	_DESCRIPTION = """\
	Parallel Igbo-English Dataset
	"""
	_HOMEPAGE_URL = "https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_en_mt"
	_CITATION = """\
	@misc{ezeani2020igboenglish,
	title={Igbo-English Machine Translation: An Evaluation Benchmark},
	author={Ignatius Ezeani and Paul Rayson and Ikechukwu Onyenwe and Chinedu Uchechukwu and Mark Hepple},
	year={2020},
	eprint={2004.00648},
	archivePrefix={arXiv},
	primaryClass={cs.CL},
	url={https://arxiv.org/abs/2004.00648}
	}
	"""

	_VERSION = "1.0.0"
	_TRAIN_EN = "https://raw.githubusercontent.com/IgnatiusEzeani/IGBONLP/master/ig_en_mt/benchmark_dataset/train.en"
	_VALID_EN = "https://raw.githubusercontent.com/IgnatiusEzeani/IGBONLP/master/ig_en_mt/benchmark_dataset/val.en"
	_TEST_EN = "https://raw.githubusercontent.com/IgnatiusEzeani/IGBONLP/master/ig_en_mt/benchmark_dataset/test.en"
	_TRAIN_IG = "https://raw.githubusercontent.com/IgnatiusEzeani/IGBONLP/master/ig_en_mt/benchmark_dataset/train.ig"
	_VALID_IG = "https://raw.githubusercontent.com/IgnatiusEzeani/IGBONLP/master/ig_en_mt/benchmark_dataset/val.ig"
	_TEST_IG = "https://raw.githubusercontent.com/IgnatiusEzeani/IGBONLP/master/ig_en_mt/benchmark_dataset/test.ig"

	_LANGUAGE_PAIRS = [
	("ig", "en"),
	]


	class IgboEnglishMachineTranslationConfig(datasets.BuilderConfig):
	def __init__(self, args, lang1=None, lang2=None, *kwargs):
	super().__init__(
	*args,
	name=f"{lang1}-{lang2}",
	**kwargs,
	)
	self.lang1 = lang1
	self.lang2 = lang2


	class IgboEnglishMachineTranslation(datasets.GeneratorBasedBuilder):
	BUILDER_CONFIGS = [
	IgboEnglishMachineTranslationConfig(
	lang1=lang1,
	lang2=lang2,
	description=f"Translating {lang1} to {lang2} or vice versa",
	version=datasets.Version(_VERSION),
	)
	for lang1, lang2 in _LANGUAGE_PAIRS
	]
	BUILDER_CONFIG_CLASS = IgboEnglishMachineTranslationConfig

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"id": datasets.Value("string"),
	"translation": datasets.Translation(languages=(self.config.lang1, self.config.lang2)),
	},
	),
	supervised_keys=None,
	homepage=_HOMEPAGE_URL,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	train_en = dl_manager.download_and_extract(_TRAIN_EN)
	train_ig = dl_manager.download_and_extract(_TRAIN_IG)

	valid_en = dl_manager.download_and_extract(_VALID_EN)
	valid_ig = dl_manager.download_and_extract(_VALID_IG)

	test_en = dl_manager.download_and_extract(_TEST_EN)
	test_ig = dl_manager.download_and_extract(_TEST_IG)

	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"ig_datapath": train_ig, "en_datapath": train_en},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={"ig_datapath": valid_ig, "en_datapath": valid_en},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={"ig_datapath": test_ig, "en_datapath": test_en},
	),
	]

	def _generate_examples(self, ig_datapath, en_datapath):
	with open(ig_datapath, encoding="utf-8") as f1, open(en_datapath, encoding="utf-8") as f2:
	for sentence_counter, (x, y) in enumerate(zip(f1, f2)):
	x = x.strip()
	y = y.strip()
	result = (
	sentence_counter,
	{
	"id": str(sentence_counter),
	"translation": {"ig": x, "en": y},
	},
	)
	yield result