SEACrowd/kopi_cc
收藏数据集名称
KoPI-CC (Korpus Perayapan Indonesia)-CC
语言
印尼语 (ind)
支持的任务
自监督预训练 (Self Supervised Pretraining)
数据集使用
使用 datasets 库
python from datasets import load_dataset dset = datasets.load_dataset("SEACrowd/kopi_cc", trust_remote_code=True)
使用 seacrowd 库
python import seacrowd as sc
使用默认配置加载数据集
dset = sc.load_dataset("kopi_cc", schema="seacrowd")
检查数据集的所有可用子集（配置名称）
print(sc.available_config_names("kopi_cc"))
使用特定配置加载数据集
dset = sc.load_dataset_by_config_name(config_name="<config_name>")
数据集主页
https://huggingface.co/datasets/munggok/KoPI-CC
数据集版本
- 源版本: 2018.12.01
- SEACrowd版本: 2024.06.20
数据集许可
CC0
引用
如果您在使用 Kopi Cc 数据加载器，请引用以下内容： bibtex @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 Bański 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} }
@article{lovenia2024seacrowd, title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya}, year={2024}, eprint={2406.10118}, journal={arXiv preprint arXiv: 2406.10118} }
