Dataset · Hugging Face

INSAIT-Institute/AttackViz

Name: AttackViz
Creator: INSAIT-Institute
Keywords: task_categories:image-classification, task_categories:visual-question-answering, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2601.12983, region:us, charts, data-visualization

AttackViz AttackViz is a chart-image dataset for studying correct and misleading data visualizations. It was introduced in the paper ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation. Each example contains a rendered chart image, metadata about the chart and question type, the expected gold answer, a binary label indicating whether the chart is correct or misleading, a misleading-visualization category, and serialized chart annotations.… See the full description on the dataset page: https://huggingface.co/datasets/INSAIT-Institute/AttackViz.

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Author / organization	INSAIT-Institute
Downloads	1.5K (as reported by Hugging Face)
Likes	1
Created	11 February 2026
Last updated at source	15 July 2026

chartsdata-visualizationvisual-question-answeringimage-classificationmisleading-visualizations

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