Dataset · Hugging Face

Accio-Lab/Metis-ColdStart

Name: Metis-ColdStart
Creator: Accio-Lab
License: apache-2.0
Keywords: task_categories:visual-question-answering, task_categories:image-text-to-text, language:en, license:apache-2.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2604.08545, region:us, multimodal, tool-use

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.

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Author / organization	Accio-Lab
License (as declared)	apache-2.0
Downloads	174 (as reported by Hugging Face)
Likes	1
Created	9 April 2026
Last updated at source	10 April 2026

multimodaltool-useagenticsftvision-languagemeta-cognitive

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