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10K Chart QA Dataset for Visual Question Answering and Reasoning
chart qa dataset
chart question answering dataset
chart understanding dataset
visual question answering dataset
VQA dataset
This dataset contains 10,000 chart-based question-answering samples covering a diverse range of visual formats, including line charts, bar charts, pie charts, scatter plots, composite charts, and tables. Each chart image is paired with two rounds of question answering, one for numerical reading and the other for numerical calculation. The dataset is suitable for training and evaluating chart understanding, and visual question answering (VQA) models.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
![Specifications]()
Specifications
Data Format
JPG and other commonly used image formats; The annotation file format is TXT
Data Types
Line chart, bar chart, pie chart, plot chart, composite chart, form
Annotated content
Each image has two rounds of Q&A, one for numerical reading and the other for numerical calculation
Data accuracy
The image collection compliance rate must reach or exceed 98%. For question-answer pairs, a response is deemed accurately labeled if it aligns with the chart content, is logically sound, has no significant grammar errors, no typos, and no policy-violating content. The proportion of accurately labeled sentences (separated by punctuation marks) must be at least 95%.
![Sample]()
Sample
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