File size: 2,361 Bytes
e144fc1 50504c3 e144fc1 50504c3 e144fc1 50504c3 e144fc1 50504c3 e144fc1 50504c3 e144fc1 50504c3 e144fc1 50504c3 e144fc1 e34ff01 e144fc1 |
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 66 67 68 |
# 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
"""WMT13: Translate dataset."""
import datasets
from .wmt_utils import Wmt, WmtConfig
_URL = "http://www.statmt.org/wmt13/translation-task.html"
_CITATION = """
@InProceedings{bojar-EtAl:2013:WMT,
author = {Bojar, Ond\v{r}ej and Buck, Christian and Callison-Burch, Chris and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Monz, Christof and Post, Matt and Soricut, Radu and Specia, Lucia},
title = {Findings of the 2013 {Workshop on Statistical Machine Translation}},
booktitle = {Proceedings of the Eighth Workshop on Statistical Machine Translation},
month = {August},
year = {2013},
address = {Sofia, Bulgaria},
publisher = {Association for Computational Linguistics},
pages = {1--44},
url = {http://www.aclweb.org/anthology/W13-2201}
}
"""
_LANGUAGE_PAIRS = [(lang, "en") for lang in ["es", "cs", "de", "fr", "ru"]]
class Wmt13(Wmt):
"""WMT 13 translation datasets for all {xx, "en"} language pairs."""
BUILDER_CONFIGS = [
WmtConfig( # pylint:disable=g-complex-comprehension
description="WMT 2013 %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: [
"commoncrawl",
"europarl_v7",
"multiun",
"newscommentary_v10",
],
datasets.Split.VALIDATION: ["newstest2012"],
datasets.Split.TEST: ["newstest2013"],
}
|