Datasets:
Tasks:
Translation
Multilinguality:
translation
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
| # 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. | |
| """fiskmo, a massive parallel corpus for Finnish and Swedish.""" | |
| import os | |
| import datasets | |
| _CITATION = """\ | |
| J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International\ | |
| Conference on Language Resources and Evaluation (LREC 2012)""" | |
| _DESCRIPTION = """\ | |
| fiskmo, a massive parallel corpus for Finnish and Swedish.""" | |
| _HOMEPAGE = "http://opus.nlpl.eu/fiskmo.php" | |
| _LICENSE = "" | |
| _URLs = {"train": "https://object.pouta.csc.fi/OPUS-fiskmo/v2/moses/fi-sv.txt.zip"} | |
| class OpusFiskmo(datasets.GeneratorBasedBuilder): | |
| """fiskmo, a massive parallel corpus for Finnish and Swedish.""" | |
| VERSION = datasets.Version("1.0.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name="fi-sv", version=VERSION, description="fiskmo, a massive parallel corpus for Finnish and Swedish" | |
| ) | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| {"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))} | |
| ), | |
| supervised_keys=None, | |
| homepage="http://opus.nlpl.eu/fiskmo.php", | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| data_dir = dl_manager.download_and_extract(_URLs) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "source_file": os.path.join(data_dir["train"], "fiskmo.fi-sv.fi"), | |
| "target_file": os.path.join(data_dir["train"], "fiskmo.fi-sv.sv"), | |
| "split": "train", | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, source_file, target_file, split): | |
| """This function returns the examples in the raw (text) form.""" | |
| with open(source_file, encoding="utf-8") as f: | |
| source_sentences = f.read().split("\n") | |
| with open(target_file, encoding="utf-8") as f: | |
| target_sentences = f.read().split("\n") | |
| assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % ( | |
| len(source_sentences), | |
| len(target_sentences), | |
| source_file, | |
| target_file, | |
| ) | |
| source, target = tuple(self.config.name.split("-")) | |
| for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)): | |
| result = {"translation": {source: l1, target: l2}} | |
| yield idx, result | |