  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.
