Datasets:
Tasks:
Translation
Multilinguality:
translation
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
Tags:
License:
File size: 3,371 Bytes
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# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.
"""Croatian-English parallel corpus hrenWaC"""
import datasets
_CITATION = """
@misc{11356/1058,
title = {Croatian-English parallel corpus {hrenWaC} 2.0},
author = {Ljube{\v s}i{\'c}, Nikola and Espl{\'a}-Gomis, Miquel and Ortiz Rojas, Sergio and Klubi{\v c}ka, Filip and Toral, Antonio},
url = {http://hdl.handle.net/11356/1058},
note = {Slovenian language resource repository {CLARIN}.{SI}},
copyright = {{CLARIN}.{SI} User Licence for Internet Corpora},
year = {2016} }
"""
_DESCRIPTION = """
The hrenWaC corpus version 2.0 consists of parallel Croatian-English texts crawled from the .hr top-level domain for Croatia.
The corpus was built with Spidextor (https://github.com/abumatran/spidextor), a tool that glues together the output of SpiderLing used for crawling and Bitextor used for bitext extraction. The accuracy of the extracted bitext on the segment level is around 80% and on the word level around 84%.
"""
_LICENSE = "CC BY-SA 3.0"
_HOMEPAGE = "http://nlp.ffzg.hr/resources/corpora/hrenwac/"
_URLS = "http://nlp.ffzg.hr/data/corpora/hrenwac/hrenwac.en-hr.txt.gz"
class HrenwacPara(datasets.GeneratorBasedBuilder):
"""Croatian-English parallel corpus hrenWaC"""
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="hrenWaC",
version=VERSION,
description="The hrenWaC dataset.",
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({"translation": datasets.features.Translation(languages=("en", "hr"))}),
supervised_keys=("en", "hr"),
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
downloaded_file = dl_manager.download_and_extract({"train": _URLS})
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": downloaded_file["train"],
},
),
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf8") as f:
en = ""
hr = ""
i = -1
for id_, row in enumerate(f):
if id_ % 3 == 0:
en = row.strip()
if id_ % 3 == 1:
hr = row.strip()
if id_ % 3 == 2:
i = i + 1
yield i, {
"translation": {
"en": en,
"hr": hr,
}
}
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