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arXiv · 2208.13486

naab: A ready-to-use plug-and-play corpus for Farsi

Sadra Sabouri·Elnaz Rahmati·Soroush Gooran·Hossein Sameti
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Abstract

The rise of large language models (LLMs) has transformed numerous natural language processing (NLP) tasks, yet their performance in low and mid-resource languages, such as Farsi, still lags behind resource-rich languages like English. To address this gap, we introduce naab, the largest publicly available, cleaned, and ready-to-use Farsi textual corpus. naab consists of 130GB of data, comprising over 250 million paragraphs and 15 billion words. Named after the Farsi word NAAB (meaning "pure" or "high-grade"), this corpus is openly accessible via Hugging Face, offering researchers a valuable resource for Farsi NLP tasks. In addition to naab, we provide naab-raw, an unprocessed version of the dataset, along with a pre-processing toolkit that allows users to clean their custom corpora. These resources empower NLP researchers and practitioners, particularly those focusing on low-resource languages, to improve the performance of LLMs in their respective domains and bridge the gap between resource-rich and resource-poor languages.

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Sadra Sabouri, Elnaz Rahmati, Soroush Gooran, Hossein Sameti. 2022-08-29. naab: A ready-to-use plug-and-play corpus for Farsi. https://doi.org/10.22034/jaiai.2024.480062.1016

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