Datasets:
File size: 2,535 Bytes
f05cef3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
# 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
"""The WMT EnDe Translate dataset used by the Tensor2Tensor library."""
import datasets
from .wmt_utils import Wmt, WmtConfig
_URL = "https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/data_generators/translate_ende.py"
_CITATION = """
@InProceedings{bojar-EtAl:2014:W14-33,
author = {Bojar, Ondrej and Buck, Christian and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Leveling, Johannes and Monz, Christof and Pecina, Pavel and Post, Matt and Saint-Amand, Herve and Soricut, Radu and Specia, Lucia and Tamchyna, Ale\v{s}},
title = {Findings of the 2014 Workshop on Statistical Machine Translation},
booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},
month = {June},
year = {2014},
address = {Baltimore, Maryland, USA},
publisher = {Association for Computational Linguistics},
pages = {12--58},
url = {http://www.aclweb.org/anthology/W/W14/W14-3302}
}
"""
class WmtT2t(Wmt):
"""The WMT EnDe Translate dataset used by the Tensor2Tensor library."""
BUILDER_CONFIGS = [
WmtConfig( # pylint:disable=g-complex-comprehension
description="WMT T2T EnDe translation task dataset.",
url=_URL,
citation=_CITATION,
language_pair=("de", "en"),
version=datasets.Version("1.0.0"),
)
]
@property
def manual_download_instructions(self):
if self.config.language_pair[1] in ["cs", "hi", "ru"]:
return "Please download the data manually as explained. TODO(PVP)"
@property
def _subsets(self):
return {
datasets.Split.TRAIN: ["europarl_v7", "commoncrawl", "newscommentary_v13"],
datasets.Split.VALIDATION: ["newstest2013"],
datasets.Split.TEST: ["newstest2014"],
}
|