OptimalScale/ClimbLab

ClimbLab is a high-quality pre-training corpus released by NVIDIA. Here is the description: ClimbLab is a filtered 1.2-trillion-token corpus with 20 clusters. Based on Nemotron-CC and SmolLM-Corpus, we employed our proposed CLIMB-clustering to semantically reorganize and filter this combined dataset into 20 distinct clusters, leading to a 1.2-trillion-token high-quality corpus. Specifically, we first grouped the data into 1,000 groups based on topic information. Then we applied two… See the full description on the dataset page: https://huggingface.co/datasets/OptimalScale/ClimbLab.

<iframe src="https://silytics.si/embed/item/cf0e0c35-5be0-44c7-89a0-ca7fdde84aa2" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.