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Dataset · Hugging Face

ahmed-masry/ChartQAPro

ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering 🤗Dataset | 🖥️Code | 📄Paper The abstract of the paper states that: Charts are ubiquitous, as people often use them to analyze data, answer questions, and discover critical insights. However, performing complex analytical tasks with charts requires significant perceptual and cognitive effort. Chart Question Answering (CQA) systems automate this process by enabling models to interpret and reason… See the full description on the dataset page: https://huggingface.co/datasets/ahmed-masry/ChartQAPro.

Author / organizationahmed-masry
License (as declared)mit
Downloads2.4K (as reported by Hugging Face)
Likes21
Created18 April 2025
Last updated at source19 April 2025
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  • 16 Oct 2026 Description: ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering 🤗Dataset | 🖥️Code | 📄Paper The abstract of the paper states that: Charts are ubiquitous, as people often use them to analyze data, answer questions, and di → ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering 🤗Dataset | 🖥️Code | 📄Paper The abstract of the paper states that: Charts are ubiquitous, as people often use them to analyze data, answer questions, and di

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.