Building practical data visualization agents requires handling real-world complexity—native tool integration, cross-platform adaptation, and ambiguous user intent—not just code generation in isolated environments.
DV-World is a benchmark with 260 real-world data visualization tasks that tests AI agents on spreadsheet manipulation, adapting visualizations to new data, and handling ambiguous user requirements.