HVPD: Harmful Visual Plots Dataset for Detecting Deceptive Charts

HVPD is a large-scale image dataset designed for research on the automatic detection of deceptive data visualizations. It focuses on visual design manipulations where charts mislead through construction choices. The dataset was created by WieszczUrsynowa and was last updated on March 7, 2026.

Use Cases

• Training computer vision models for deceptive chart detection based on visual design manipulations.
• Benchmarking model performance on a dataset focused exclusively on chart construction choices.
• Researching the taxonomy and impact of visual manipulations in data communication.

Strengths

• Dataset is described as large-scale, suggesting a substantial number of images for model development.
• Focus is exclusively on visual design manipulations, providing a clear research scope.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Freshness

Last updated 2026-03-07 15:32:15; freshness should be verified.