Datasets:
Languages:
Catalan
Multilinguality:
monolingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
no-annotation
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. | |
| """caWaC: Catalan web corpus dataset.""" | |
| import datasets | |
| _CITATION = """\ | |
| @inproceedings{DBLP:conf/lrec/LjubesicT14, | |
| author = {Nikola Ljubesic and | |
| Antonio Toral}, | |
| editor = {Nicoletta Calzolari and | |
| Khalid Choukri and | |
| Thierry Declerck and | |
| Hrafn Loftsson and | |
| Bente Maegaard and | |
| Joseph Mariani and | |
| Asunci{\'{o}}n Moreno and | |
| Jan Odijk and | |
| Stelios Piperidis}, | |
| title = {caWaC - {A} web corpus of Catalan and its application to language | |
| modeling and machine translation}, | |
| booktitle = {Proceedings of the Ninth International Conference on Language Resources | |
| and Evaluation, {LREC} 2014, Reykjavik, Iceland, May 26-31, 2014}, | |
| pages = {1728--1732}, | |
| publisher = {European Language Resources Association {(ELRA)}}, | |
| year = {2014}, | |
| url = {http://www.lrec-conf.org/proceedings/lrec2014/summaries/841.html}, | |
| timestamp = {Mon, 19 Aug 2019 15:23:35 +0200}, | |
| biburl = {https://dblp.org/rec/conf/lrec/LjubesicT14.bib}, | |
| bibsource = {dblp computer science bibliography, https://dblp.org} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| caWaC is a 780-million-token web corpus of Catalan built from the .cat top-level-domain in late 2013. | |
| """ | |
| _LICENSE = "CC BY-SA 3.0" | |
| _HOMEPAGE = "http://nlp.ffzg.hr/resources/corpora/cawac/" | |
| # Source: http://nlp.ffzg.hr/data/corpora/cawac.uniq.sortr.gz | |
| _URLS = "data/cawac.uniq.sortr.gz" | |
| class Cawac(datasets.GeneratorBasedBuilder): | |
| """caWaC: Catalan web corpus dataset.""" | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "sentence": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| downloaded_file = dl_manager.download_and_extract(_URLS) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": downloaded_file, | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath): | |
| with open(filepath, encoding="utf8") as f: | |
| for id_, row in enumerate(f): | |
| yield id_, { | |
| "sentence": row, | |
| } | |