Datasets:
Tasks:
Translation
Multilinguality:
multilingual
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
License:
| # coding=utf-8 | |
| # Copyright 2020 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. | |
| """Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES""" | |
| import datasets | |
| _CITATION = """\ | |
| @inproceedings{soares2018parallel, | |
| title={A Parallel Corpus of Theses and Dissertations Abstracts}, | |
| author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose}, | |
| booktitle={International Conference on Computational Processing of the Portuguese Language}, | |
| pages={345--352}, | |
| year={2018}, | |
| organization={Springer} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the \ | |
| CAPES website (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) - Brazil. \ | |
| The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were \ | |
| collected and aligned using the Hunalign algorithm. | |
| """ | |
| _HOMEPAGE = "https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6" | |
| _URL = "https://ndownloader.figstatic.com/files/14015837" | |
| class Capes(datasets.GeneratorBasedBuilder): | |
| """Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES""" | |
| VERSION = datasets.Version("1.0.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name="en-pt", | |
| version=datasets.Version("1.0.0"), | |
| description="Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES", | |
| ) | |
| ] | |
| 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=_HOMEPAGE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| archive = dl_manager.download(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "source_file": "en_pt.en", | |
| "target_file": "en_pt.pt", | |
| "src_files": dl_manager.iter_archive(archive), | |
| "tgt_files": dl_manager.iter_archive(archive), | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, source_file, target_file, src_files, tgt_files): | |
| source, target = tuple(self.config.name.split("-")) | |
| for src_path, src_f in src_files: | |
| if src_path == source_file: | |
| for tgt_path, tgt_f in tgt_files: | |
| if tgt_path == target_file: | |
| for idx, (l1, l2) in enumerate(zip(src_f, tgt_f)): | |
| l1 = l1.decode("utf-8").strip() | |
| l2 = l2.decode("utf-8").strip() | |
| if l1 and l2: | |
| result = {"translation": {source: l1, target: l2}} | |
| yield idx, result | |
| break | |
| break | |