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 <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> </p> <p>If you use this resource in your work, please cite our latest paper:</p> <p>@inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> 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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