datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Spec-o3-ColdStartSFT
Spec-o3 Cold-Start (iMCoT) Dataset
Project Page | Paper | Code
Dataset Summary
This dataset contains expert-approved spectral inspection trajectories for cold-start supervised fine-tuning (SFT) of Spec-o3, a tool-augmented vision-language agent for astronomer-aligned spectral inspection and candidate vetting.
Each sample is an interleaved multimodal chain-of-thought (iMCoT) trajectory that alternates between:
Textual inspection reasoning, and
Structured tool calls that… See the full description on the dataset page: https://huggingface.co/datasets/Maxwell-Jia/Spec-o3-ColdStartSFT.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.BesiegeField_humandataset_coldstart
🏰 BesiegeField Human Dataset for ColdStart
📎 Links
Project Page: https://besiegefield.github.io/
GitHub: https://github.com/Godheritage/BesiegeField
arXiv: https://arxiv.org/abs/2510.14980
📌 Overview
This dataset collects human-made Besiege machines and reformats them for the LLM Cold-Start stage.Processing details are described in Paper §F.1.
🗂️ Data Fields
trainable_dataset: Dataset root.
ID: Unique id for each data.
xxx.json: The tree… See the full description on the dataset page: https://huggingface.co/datasets/Godheritage/BesiegeField_humandataset_coldstart.