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DeltonLabs/DCLM-Filtered-HQ

DCLM-Filtered-HQ DCLM-Filtered-HQ is a high-quality, multi-billion token pretraining corpus filtered from mlfoundations/dclm-baseline-1.0 through a four-stage quality distillation pipeline. Stage 1: LLM Quality Annotation We used LFM2.5-1.2B to score 236k documents sampled from dclm-baseline-1.0 on intrinsic text quality, using the following prompt: Rate the overall text quality of the following document on a scale from 1 to 10 (where 10 is highest and 1 is… See the full description on the dataset page: https://huggingface.co/datasets/DeltonLabs/DCLM-Filtered-HQ.

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Author / organizationDeltonLabs
License (as declared)cc-by-4.0
Downloads3.6K (as reported by Hugging Face)
Likes3
Created18 October 2026
Last updated at source27 October 2026
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  • 18 Oct 2026 Description: DCLM-Filtered-HQ DCLM-Filtered-HQ is a high-quality, multi-billion token pretraining corpus filtered from mlfoundations/dclm-baseline-1.0 through a three-stage quality distillation pipeline. Stage 1: LLM Quality Annotation We used LFM2.5-1. → DCLM-Filtered-HQ DCLM-Filtered-HQ is a high-quality, multi-billion token pretraining corpus filtered from mlfoundations/dclm-baseline-1.0 through a four-stage quality distillation pipeline. Stage 1: LLM Quality Annotation We used LFM2.5-1.2
  • 18 Oct 2026 License: none → cc-by-4.0
  • 18 Oct 2026 Description: none → DCLM-Filtered-HQ DCLM-Filtered-HQ is a high-quality, multi-billion token pretraining corpus filtered from mlfoundations/dclm-baseline-1.0 through a three-stage quality distillation pipeline. Stage 1: LLM Quality Annotation We used LFM2.5-1.

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