Datasets:
Languages:
Spanish
Multilinguality:
monolingual
Size Categories:
10M<n<100M
Language Creators:
expert-generated
Annotations Creators:
no-annotation
Source Datasets:
original
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. | |
| """The Spanish Billion Words Corpus.""" | |
| import os | |
| import datasets | |
| _CITATION = """\ | |
| @misc{cardellinoSBWCE, | |
| author = {Cardellino, Cristian}, | |
| title = {Spanish {B}illion {W}ords {C}orpus and {E}mbeddings}, | |
| url = {https://crscardellino.github.io/SBWCE/}, | |
| month = {August}, | |
| year = {2019} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| An unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web. | |
| This resources include the spanish portions of SenSem, the Ancora Corpus, some OPUS Project Corpora and the Europarl, | |
| the Tibidabo Treebank, the IULA Spanish LSP Treebank, and dumps from the Spanish Wikipedia, Wikisource and Wikibooks. | |
| This corpus is a compilation of 100 text files. Each line of these files represents one of the 50 million sentences from the corpus. | |
| """ | |
| _HOMEPAGE = "https://crscardellino.github.io/SBWCE/" | |
| _LICENSE = "https://creativecommons.org/licenses/by-sa/4.0/" | |
| _URL = "http://cs.famaf.unc.edu.ar/~ccardellino/SBWCE/clean_corpus.tar.bz2" | |
| class SpanishBillionWords(datasets.GeneratorBasedBuilder): | |
| """The Spanish Billion Words Corpus.""" | |
| VERSION = datasets.Version("1.1.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name="corpus", | |
| version=VERSION, | |
| description="100 text files where each line represents a sentence from the corpus", | |
| ), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| data_dir = dl_manager.download_and_extract(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, gen_kwargs={"directory": os.path.join(data_dir, "spanish_billion_words")} | |
| ) | |
| ] | |
| def _generate_examples(self, directory): | |
| """Yields examples.""" | |
| files = os.listdir(directory) | |
| files = sorted(files) | |
| _id = 0 | |
| for file in files: | |
| file_path = os.path.join(directory, file) | |
| with open(file_path, mode="r", encoding="utf-8") as f: | |
| for line in f: | |
| yield _id, {"text": line.strip()} | |
| _id += 1 | |