datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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 multi-turn… See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/drkernel-coldstart-8k.GrepSeek-ColdStart-SFT-10k
GrepSeek — Cold-start SFT dataset (10k)
Cold-start supervised fine-tuning data for GrepSeek, a Direct Corpus
Interaction (DCI) search agent. Instead of retrieving from a pre-computed dense
or sparse index, a DCI agent answers questions by issuing Unix shell commands
(rg, grep, head, …) directly against a raw text corpus — coupling retrieval
and reasoning in a single policy. These trajectories are used to initialize the
agent before reinforcement learning.
📄 Paper: GrepSeek:… See the full description on the dataset page: https://huggingface.co/datasets/alireza7/GrepSeek-ColdStart-SFT-10k.sparrow-coldstartFor Proof-of-Concept, including 10k non-reasoning data and 10k reasoning data from QuixiAI/dolphin-r1