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  1. opus_wikipedia.py +0 -127
opus_wikipedia.py DELETED
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- # coding=utf-8
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- # Copyright 2020 HuggingFace Datasets Authors.
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- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
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- # you may not use this file except in compliance with the License.
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- # You may obtain a copy of the License at
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- #
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- # http://www.apache.org/licenses/LICENSE-2.0
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- #
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- # Unless required by applicable law or agreed to in writing, software
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- # distributed under the License is distributed on an "AS IS" BASIS,
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- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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- # See the License for the specific language governing permissions and
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- # limitations under the License.
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-
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- # Lint as: python3
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- import os
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-
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- import datasets
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-
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-
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- _DESCRIPTION = """\
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- This is a corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek. Please cite the following publication if you use the data: Krzysztof Wołk and Krzysztof Marasek: Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs., Procedia Technology, 18, Elsevier, p.126-132, 2014
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- 20 languages, 36 bitexts
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- total number of files: 114
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- total number of tokens: 610.13M
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- total number of sentence fragments: 25.90M
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- """
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- _HOMEPAGE_URL = "http://opus.nlpl.eu/Wikipedia.php"
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- _CITATION = """\
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- @InProceedings{TIEDEMANN12.463,
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- author = {J{\"o}rg Tiedemann},
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- title = {Parallel Data, Tools and Interfaces in OPUS},
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- booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
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- year = {2012},
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- month = {may},
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- date = {23-25},
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- address = {Istanbul, Turkey},
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- editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
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- publisher = {European Language Resources Association (ELRA)},
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- isbn = {978-2-9517408-7-7},
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- language = {english}
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- }
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- """
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-
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- _VERSION = "1.0.0"
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- _BASE_NAME = "Wikipedia.{}.{}"
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- _BASE_URL = "https://object.pouta.csc.fi/OPUS-Wikipedia/v1.0/moses/{}-{}.txt.zip"
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- # Please note that only few pairs are shown here. You can use config to generate data for all language pairs
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- _LANGUAGE_PAIRS = [
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- ("ar", "en"),
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- ("ar", "pl"),
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- ("en", "sl"),
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- ("en", "ru"),
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- ("en", "vi"),
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- ]
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-
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-
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- class WikipediaConfig(datasets.BuilderConfig):
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- def __init__(self, *args, lang1=None, lang2=None, **kwargs):
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- super().__init__(
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- *args,
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- name=f"{lang1}-{lang2}",
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- **kwargs,
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- )
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- self.lang1 = lang1
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- self.lang2 = lang2
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-
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-
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- class OpusWikipedia(datasets.GeneratorBasedBuilder):
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- BUILDER_CONFIGS = [
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- WikipediaConfig(
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- lang1=lang1,
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- lang2=lang2,
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- description=f"Translating {lang1} to {lang2} or vice versa",
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- version=datasets.Version(_VERSION),
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- )
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- for lang1, lang2 in _LANGUAGE_PAIRS
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- ]
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- BUILDER_CONFIG_CLASS = WikipediaConfig
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-
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- def _info(self):
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=datasets.Features(
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- {
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- "id": datasets.Value("string"),
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- "translation": datasets.Translation(languages=(self.config.lang1, self.config.lang2)),
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- },
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- ),
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- supervised_keys=None,
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- homepage=_HOMEPAGE_URL,
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- citation=_CITATION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- def _base_url(lang1, lang2):
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- return _BASE_URL.format(lang1, lang2)
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-
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- download_url = _base_url(self.config.lang1, self.config.lang2)
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- path = dl_manager.download_and_extract(download_url)
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- gen_kwargs={"datapath": path},
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- )
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- ]
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-
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- def _generate_examples(self, datapath):
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- l1, l2 = self.config.lang1, self.config.lang2
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- folder = l1 + "-" + l2
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- l1_file = _BASE_NAME.format(folder, l1)
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- l2_file = _BASE_NAME.format(folder, l2)
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- l1_path = os.path.join(datapath, l1_file)
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- l2_path = os.path.join(datapath, l2_file)
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- with open(l1_path, encoding="utf-8") as f1, open(l2_path, encoding="utf-8") as f2:
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- for sentence_counter, (x, y) in enumerate(zip(f1, f2)):
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- x = x.strip()
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- y = y.strip()
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- result = (
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- sentence_counter,
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- {
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- "id": str(sentence_counter),
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- "translation": {l1: x, l2: y},
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- },
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- )
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- yield result