Sign inGet started
Dataset · Hugging Face

codelion/dclm-baseline-1B

Sampling Methodology This dataset was created using reservoir sampling, a statistically unbiased random sampling algorithm that guarantees each sample from the source dataset has an equal probability of being included. This ensures the 1B token sample is representative of the full dataset's characteristics. Source Dataset: mlfoundations/dclm-baseline-1.0 Sample Size: 1B tokens Content: Filtered, diverse web content Reservoir sampling enables rapid experimentation and ablation… See the full description on the dataset page: https://huggingface.co/datasets/codelion/dclm-baseline-1B.

Author / organizationcodelion
Downloads143 (as reported by Hugging Face)
Likes6
Created7 July 2025
Last updated at source2 November 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/ff1225ff-3d10-495a-aea3-9d24463c474b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from codelion

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 Information may be incomplete or out of date.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.