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ChartQA is a benchmark and dataset for question answering about charts that combines visual perception and logical reasoning to understand charts. It provides the ChartQA Dataset (including the full version with annotations) and newer ChartQAPro, plus a family of chart-understanding models (UniChart, ChartInstruct, ChartGemma) and public web demos. The project emphasizes easy adoption with lightweight code, tutorials, and runnable models for tasks like chart QA, chart-to-table, chart summarization, and open-ended QA.
AI named ChartQA in February 2026.