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# coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors and the 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
"""Portuguese-English and Portuguese-Spanish bilingual collections."""
import datasets
from .wmt_utils import Wmt, WmtConfig
_URL = "http://www.nilc.icmc.usp.br/nilc/tools/Fapesp%20Corpora.htm"
_CITATION = """
@inproceedings{aziz-specia-2011-fully,
title = "Fully Automatic Compilation of {P}ortuguese-{E}nglish and {P}ortuguese-{S}panish Parallel Corpora",
author = "Aziz, Wilker and
Specia, Lucia",
booktitle = "Proceedings of the 8th {B}razilian Symposium in Information and Human Language Technology",
year = "2011",
url = "https://aclanthology.org/W11-4533",
}
"""
_LANGUAGE_PAIRS = [(lang, "pt") for lang in ["es", "en"]]
class Fapespv2(Wmt):
"""Fapesp v2 translation datasets for all {xx, "pt"} language pairs."""
BUILDER_CONFIGS = [
WmtConfig( # pylint:disable=g-complex-comprehension
description="Fapesp v2 %s-%s translation task dataset." % (l1, l2),
url=_URL,
citation=_CITATION,
language_pair=(l1, l2),
version=datasets.Version("1.0.0"),
)
for l1, l2 in _LANGUAGE_PAIRS
]
@property
def _subsets(self):
return {
datasets.Split.TRAIN: [
"fapesp-v2",
],
datasets.Split.VALIDATION: ["dev"],
datasets.Split.TEST: ["test-b"],
}
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