DATAREEL: Automated Data-Driven Video Story Generation with Animations
Data videos combine animated visualizations with synchronized narration to communicate quantitative information and are widely used in journalism, education, and public communication. Automatically generating them requires deciding what story to tell, designing effective visualizations, and producing executable animations synchronized with narration. Despite rapid progress in vision-language models (VLMs), it remains unclear how well they can perform this task from a high-level communicative intent, largely because no standardized benchmark exists. We introduce DATAREEL, a benchmark for automated data-driven video story generation containing 328 real-world data reels. Given a data table, ...
| Authors | Ridwan Mahbub, Syem Aziz, Mizanur Rahman et al. |
|---|---|
| Primary category | cs.AI |
| Published | 28 April 2026 |
| Last updated at source | 6 August 2026 |
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