naab: A ready-to-use plug-and-play corpus for Farsi
Published in arXiv preprint arXiv:2208.13486, 2022
Recommended citation: Sadra Sabouri, Elnaz Rahmati, Soroush Gooran, and Hossein Sameti. naab: A ready-to-use plug-and-play corpus for farsi. arXiv preprint arXiv:2208.13486, 2022. https://arxiv.org/pdf/2208.13486
Huge corpora of textual data are always known to be a crucial need for training deep models such as transformer-based ones. This issue is emerging more in lower resource languages - like Farsi. We propose naab, the biggest cleaned and ready-to-use open-source textual corpus in Farsi. It contains about 130GB of data, 250 million paragraphs, and 15 billion words. The project name is derived from the Farsi word NAAB K which means pure and high grade. We also provide the raw version of the corpus called naab-raw and an easy-to-use preprocessor that can be employed by those who wanted to make a customized corpus.