AttackViz

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:

Source: Hugging Face Hub (jgermanmx/AttackViz). Metadata imported from the dataset’s Hub tags.