--- tags: - self-supervised-pretraining language: - ind --- KoPI-CC (Korpus Perayapan Indonesia)-CC is Indonesian Only Extract from Common Crawl snapshots ,each snapshots get extracted using ungoliant and get extra "filtering" using deduplication technique ## Dataset Usage Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`. ## Citation ``` @ARTICLE{2022arXiv220106642A, author = {{Abadji}, Julien and {Ortiz Suarez}, Pedro and {Romary}, Laurent and {Sagot}, Benoit}, title = "{Towards a Cleaner Document-Oriented Multilingual Crawled Corpus}", journal = {arXiv e-prints}, keywords = {Computer Science - Computation and Language}, year = 2022, month = jan, eid = {arXiv:2201.06642}, pages = {arXiv:2201.06642}, archivePrefix = {arXiv}, eprint = {2201.06642}, primaryClass = {cs.CL}, adsurl = {https://ui.adsabs.harvard.edu/abs/2022arXiv220106642A}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } @inproceedings{AbadjiOrtizSuarezRomaryetal.2021, author = {Julien Abadji and Pedro Javier Ortiz Su{'a}rez and Laurent Romary and Benoit Sagot}, title = {Ungoliant: An optimized pipeline for the generation of a very large-scale multilingual web corpus}, series = {Proceedings of the Workshop on Challenges in the Management of Large Corpora (CMLC-9) 2021. Limerick, 12 July 2021 (Online-Event)}, editor = {Harald L{"u}ngen and Marc Kupietz and Piotr BaƄski and Adrien Barbaresi and Simon Clematide and Ines Pisetta}, publisher = {Leibniz-Institut f{"u}r Deutsche Sprache}, address = {Mannheim}, doi = {10.14618/ids-pub-10468}, url = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-104688}, pages = {1 -- 9}, year = {2021}, abstract = {Since the introduction of large language models in Natural Language Processing, large raw corpora have played a crucial role in Computational Linguistics.}, language = {en} } ``` ## License CC0 ## Homepage ### NusaCatalogue For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)