cold-start
DRIM-ColdstartSFTThis repository contains the cold-start SFT datasets used in the paper Deep But Reliable: Advancing Multi-turn Reasoning for Thinking with Images
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.swesmith-coldstart-rl-seqnorm-tis-pym2tmc_gui_cold_startMetis-ColdStart
Metis-ColdStart
Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models
Metis-ColdStart is the supervised fine-tuning (SFT) dataset used to train the Metis-8B-ColdStart model. It contains ~27K high-quality, tool-augmented multimodal reasoning trajectories that have been rigorously curated to ensure genuine tool necessity and reasoning quality.
[Paper (arXiv)] | [GitHub] | [ColdStart Model] | [RL Model] | [RL Data]
Dataset Details
Attribute
Value… See the full description on the dataset page: https://huggingface.co/datasets/Accio-Lab/Metis-ColdStart.ArcAD_Cold-start_Data_Splits
ArcAD Cold-Start Data Splits
Cold-start supervised data splits (JSON manifests) for MVTec-AD, VisA,
Real-IAD, and MANTA, used by ArcAD
(arXiv:2607.02252, ECCV 2026).
All paths use each dataset's original download structure — download the
official datasets and the paths resolve directly. See the
ArcAD repository for the JSON format and usage.