Datasets:
Tasks:
Fill-Mask
Languages:
Catalan
Multilinguality:
monolingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
no-annotation
ArXiv:
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. | |
"""Catalan Textual Corpus.""" | |
import os | |
import datasets | |
_CITATION = """\ | |
@inproceedings{armengol-estape-etal-2021-multilingual, | |
title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan", | |
author = "Armengol-Estap{\'e}, Jordi and | |
Carrino, Casimiro Pio and | |
Rodriguez-Penagos, Carlos and | |
de Gibert Bonet, Ona and | |
Armentano-Oller, Carme and | |
Gonzalez-Agirre, Aitor and | |
Melero, Maite and | |
Villegas, Marta", | |
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021", | |
month = aug, | |
year = "2021", | |
address = "Online", | |
publisher = "Association for Computational Linguistics", | |
url = "https://aclanthology.org/2021.findings-acl.437", | |
doi = "10.18653/v1/2021.findings-acl.437", | |
pages = "4933--4946", | |
eprint={2107.07903}, | |
archivePrefix={arXiv}, | |
primaryClass={cs.CL} | |
} | |
""" | |
_DESCRIPTION = """\ | |
The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources: existing corpus such as DOGC, CaWac (non-dedup version), Oscar (unshuffled version), Open Subtitles, Catalan Wikipedia; and three brand new crawlings: the Catalan General Crawling, obtained by crawling the 500 most popular .cat and .ad domains; the Catalan Government Crawling, obtained by crawling the .gencat domain and subdomains, belonging to the Catalan Government; and the ACN corpus with 220k news items from March 2015 until October 2020, crawled from the Catalan News Agency. | |
It consists of 1.758.388.896 tokens, 73.172.152 sentences and 12.556.365 documents. Documents are separated by single new lines. These boundaries have been preserved as long as the license allowed it. | |
""" | |
_HOMEPAGE = "https://zenodo.org/record/4519349" | |
_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International" | |
_URL = "https://zenodo.org/record/4519349/files/catalan_textual_corpus.zip?download=1" | |
class CatalanTextualCorpus(datasets.GeneratorBasedBuilder): | |
"""Catalan Textual Corpus.""" | |
VERSION = datasets.Version("1.0.0") | |
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): | |
data_dir = dl_manager.download_and_extract(_URL) | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, | |
gen_kwargs={ | |
"filepath": os.path.join(data_dir, "corpus", "catalan_textual_corpus.txt"), | |
}, | |
), | |
] | |
def _generate_examples(self, filepath): | |
with open(filepath, encoding="utf-8") as f: | |
text = "" | |
for id_, line in enumerate(f): | |
if line == "\n": | |
yield id_, {"text": text.strip()} | |
text = "" | |
else: | |
text += line | |