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hkust-nlp/drkernel-coldstart-8k

DR.Kernel Cold-Start Dataset Paper | Code This directory documents the format of hkust-nlp/drkernel-coldstart-8k. The cold-start set is used for supervised fine-tuning (SFT) before RL in DR.Kernel. As described in the paper, it is built from 5-turn multi-turn trajectories collected with KernelGYM feedback. Overview Purpose: initialize kernel-generation ability (Triton coding + iterative optimization) before TRLOO/MRS/PR/PRS RL. Data form: one row per full… See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/drkernel-coldstart-8k.

Author / organizationhkust-nlp
License (as declared)mit
Downloads132 (as reported by Hugging Face)
Likes3
Created5 February 2026
Last updated at source6 February 2026
tritoncode-generationreinforcement-learning
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  • 16 Oct 2026 Description: DR.Kernel Cold-Start Dataset Paper | Code This directory documents the format of hkust-nlp/drkernel-coldstart-8k. The cold-start set is used for supervised fine-tuning (SFT) before RL in DR.Kernel. As described in the paper, it is built fro → DR.Kernel Cold-Start Dataset Paper | Code This directory documents the format of hkust-nlp/drkernel-coldstart-8k. The cold-start set is used for supervised fine-tuning (SFT) before RL in DR.Kernel. As described in the paper, it is built fro

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