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README.md

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----
-annotations_creators:
-- no-annotation
-language_creators:
-- found
-language:
-- ca
-license:
-- cc-by-sa-4.0
-multilinguality:
-- monolingual
-pretty_name: Catalan Textual Corpus
-size_categories:
-- 10M<n<100M
-source_datasets:
-- original
-- extended|opus_dogc
-- extended|cawac
-- extended|oscar
-- extended|open_subtitles
-- extended|wikipedia
-- extended|projecte-aina/catalan_general_crawling
-- extended|projecte-aina/catalan_government_crawling
-task_categories:
-- fill-mask
-task_ids: []
----
-
-# Dataset Card for Catalan Textual Corpus
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** https://zenodo.org/record/4519349
-- **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
-- **Point of Contact:** [ona.degibert@bsc.es](ona.degibert@bsc.es)
-
-### Dataset Summary
-
-The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources.
-
-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.
-
-### Supported Tasks and Leaderboards
-
-This corpus is mainly intended to pretrain language models and word representations.
-
-### Languages
-
-The dataset is in Catalan (`ca-CA`).
-
-## Dataset Structure
-
-### Data Instances
-
-```
-{'text': "L'operatiu continuarà durant aquest divendres."}
-```
-
-### Data Fields
-
-- `text` (str): Text.
-
-### Data Splits
-
-The dataset contains a single split: `train`.
-
-## Dataset Creation
-
-### Curation Rationale
-
-We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources: existing corpora 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.
-For preprocessing we used [Corpus-Cleaner](https://github.com/TeMU-BSC/corpus-cleaner-acl), a modular Python-based toolkit to clean raw text corpora through generator pipelines.
-
-#### Who are the source language producers?
-
-The original data comes from various sources: existing corpora and crawlings from public websites.
-
-### Annotations
-
-The dataset is unannotated.
-
-#### Annotation process
-
-[N/A]
-
-#### Who are the annotators?
-
-[N/A]
-
-### Personal and Sensitive Information
-
-No anonymisation process was performed.
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-We hope this corpus contributes to the development of language models in Catalan, a low-resource language.
-
-### Discussion of Biases
-
-We are aware that since the data comes from unreliable web pages and multilingual crawled corpora, some biases may be present in the dataset. Nonetheless, we have not applied any steps to reduce their impact.
-
-### Other Known Limitations
-
-[N/A]
-
-## Additional Information
-
-### Dataset Curators
-
-Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@bsc.es)
-
-This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
-
-### Licensing Information
-
-[Creative Commons Attribution Share Alike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/).
-
-### Citation Information
-
-```
-@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}
-}
-```
-
-### Contributions
-
-Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.

catalan_textual_corpus.py

@@ -1,94 +0,0 @@
-# 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

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