Dataset · Hugging Face

IVUL-KAUST/MedCTA

Name: MedCTA
Creator: IVUL-KAUST
License: apache-2.0
Keywords: task_categories:visual-question-answering, task_categories:question-answering, task_categories:image-to-text, task_categories:text-generation, language:en, license:apache-2.0, size_categories:n<1K, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant

🩺 MedCTA A Benchmark for Clinical Tool Agents Multimodal clinical tasks for evaluating how agents observe, reason, use tools, and answer in medical settings. 🌟 Overview MedCTA is a benchmark for evaluating clinical tool agents. Each example contains a clinical image, a clinical user query, a reference tool-use trajectory, and a final ground-truth answer. MedCTA evaluates whether agents can: 🖼️ understand clinical images and figures… See the full description on the dataset page: https://huggingface.co/datasets/IVUL-KAUST/MedCTA.

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Author / organization	IVUL-KAUST
License (as declared)	apache-2.0
Downloads	180 (as reported by Hugging Face)
Likes	2
Created	24 May 2026
Last updated at source	24 May 2026

medicalclinical-aitool-useagentsmultimodalbenchmarkmedical-imaging

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