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wmt19.py
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wmt19.py
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# coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace NLP 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
"""WMT19: Translate dataset."""
import nlp
from .wmt_utils import CWMT_SUBSET_NAMES, Wmt, WmtConfig
_URL = "http://www.statmt.org/wmt19/translation-task.html"
# TODO(adarob): Update with citation of overview paper once it is published.
_CITATION = """
@ONLINE {wmt19translate,
author = "Wikimedia Foundation",
title = "ACL 2019 Fourth Conference on Machine Translation (WMT19), Shared Task: Machine Translation of News",
url = "http://www.statmt.org/wmt19/translation-task.html"
}
"""
_LANGUAGE_PAIRS = [(lang, "en") for lang in ["cs", "de", "fi", "gu", "kk", "lt", "ru", "zh"]] + [("fr", "de")]
class Wmt19(Wmt):
"""WMT 19 translation datasets for {(xx, "en")} + ("fr", "de") pairs."""
# Version history:
# 1.0.0: S3 (new shuffling, sharding and slicing mechanism).
BUILDER_CONFIGS = [
WmtConfig( # pylint:disable=g-complex-comprehension
description="WMT 2019 %s-%s translation task dataset." % (l1, l2),
url=_URL,
citation=_CITATION,
language_pair=(l1, l2),
version=nlp.Version("1.0.0"),
)
for l1, l2 in _LANGUAGE_PAIRS
]
@property
def _subsets(self):
return {
nlp.Split.TRAIN: [
"europarl_v9",
"europarl_v7_frde",
"paracrawl_v3",
"paracrawl_v1_ru",
"paracrawl_v3_frde",
"commoncrawl",
"commoncrawl_frde",
"newscommentary_v14",
"newscommentary_v14_frde",
"czeng_17",
"yandexcorpus",
"wikititles_v1",
"uncorpus_v1",
"rapid_2016_ltfi",
"rapid_2019",
]
+ CWMT_SUBSET_NAMES,
nlp.Split.VALIDATION: ["euelections_dev2019", "newsdev2019", "newstest2018"],
}