Dataset · Hugging Face

truevislies/results

Name: results
Creator: truevislies
License: cc-by-nc-4.0
Keywords: task_categories:image-classification, task_categories:text-generation, language:en, license:cc-by-nc-4.0, size_categories:10M<n<100M, format:parquet, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, visualization, misinformation, misleading-visualizations

TrueVisLies – Results This dataset contains all raw outputs, extracted fields, semantic similarity scores, and UMAP projections produced in the paper: True (VIS) Lies: Analyzing How Generative AI Recognizes Intentionality, Rhetoric, and Misleadingness in Visualization Lies The paper evaluates 16 LLMs, 15 open-weight vision-language models (VLMs), and GPT-5.4 on their ability to (RQ0) detect misleading data visualizations, (RQ1) identify the visualization rhetoric techniques, and… See the full description on the dataset page: https://huggingface.co/datasets/truevislies/results.

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Author / organization	truevislies
License (as declared)	cc-by-nc-4.0
Downloads	315 (as reported by Hugging Face)
Likes	0
Created	1 April 2026
Last updated at source	15 April 2026

visualizationmisinformationmisleading-visualizationsCOVID-19large-language-modelsmultimodalrhetoricauthorial-intent

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