Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-11T15:00:00Z http://www.open-lab.net/blog/feed/ Nirmal Kumar Juluru <![CDATA[Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator]]> http://www.open-lab.net/blog/?p=99540 2025-05-29T19:05:18Z 2025-05-07T16:22:31Z Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). To enable...]]> Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). To enable...

Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). To enable developers to build highly accurate LLMs, NVIDIA previously released Nemotron-CC, a 6.3-trillion-token English language Common Crawl (CC) dataset. Today, the NVIDIA NeMo Curator team is excited to share that the pipeline used to build the��

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