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Catalan General Crawling

<p>The Catalan General Crawling Corpus is a 435-million-token web corpus of Catalan built from the web. It has been obtained by crawling the 500 most popular .cat and .ad domains during July 2020. It consists of 434.817.705 tokens, 19.451.691 sentences and 1.016.114 documents. Documents are separated by single new lines. It is a subcorpus of the&nbsp;<a href="../record/4519349">Catalan Textual Corpus</a>.</p> <p>We license the actual packaging of this data under a <a href="https://creativecommons.org/licenses/by/4.0/">Attribution 4.0 International License</a>.</p> <p><strong>Notice and take down policy</strong></p> <p>Notice: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please:</p> <ul> <li>Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted.</li> <li>Clearly identify the copyrighted work claimed to be infringed.</li> <li>Clearly identify the material that is claimed to be infringing and information reasonably sufficient to allow us to locate</li> </ul> <p>Copyright (c) 2021 Text Mining Unit at BSC</p> <p>&nbsp;</p> <p>If you use this resource in your work, please cite our latest paper:</p> <p>@inproceedings{armengol-estape-etal-2021-multilingual,<br>&nbsp; &nbsp; title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br>&nbsp; &nbsp; author = "Armengol-Estap{\'e}, Jordi &nbsp;and<br>&nbsp; &nbsp; &nbsp; Carrino, Casimiro Pio &nbsp;and<br>&nbsp; &nbsp; &nbsp; Rodriguez-Penagos, Carlos &nbsp;and<br>&nbsp; &nbsp; &nbsp; de Gibert Bonet, Ona &nbsp;and<br>&nbsp; &nbsp; &nbsp; Armentano-Oller, Carme &nbsp;and<br>&nbsp; &nbsp; &nbsp; Gonzalez-Agirre, Aitor &nbsp;and<br>&nbsp; &nbsp; &nbsp; Melero, Maite &nbsp;and<br>&nbsp; &nbsp; &nbsp; Villegas, Marta",<br>&nbsp; &nbsp; booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br>&nbsp; &nbsp; month = aug,<br>&nbsp; &nbsp; year = "2021",<br>&nbsp; &nbsp; address = "Online",<br>&nbsp; &nbsp; publisher = "Association for Computational Linguistics",<br>&nbsp; &nbsp; url = "https://aclanthology.org/2021.findings-acl.437",<br>&nbsp; &nbsp; doi = "10.18653/v1/2021.findings-acl.437",<br>&nbsp; &nbsp; pages = "4933--4946",<br>}</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
March 24, 2021
License
cc-by-4.0
DOI
10.5281/zenodo.4636227

Scored with release 0.9.0

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