Datasets:
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README.md
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Our benchmark dataset was constructed using real-world exam papers collected from publicly available sources spanning the years 2013 to 2024. We selected subjects specifically requiring visual comprehension, such as medical diagnostics (e.g., interpreting X-ray and ultrasound images), geometry, electronic circuit design, and chemistry. For each question, we additionally collected human performance data, including average accuracy scores, to better gauge question difficulty and establish a human performance baseline.
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# VisTW-MCQ : Visual Multi-Choice Question answering
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VisTW-MCQ, composed of past examination questions from various educational levels in Taiwan, ranging from primary and secondary education to specialized undergraduate courses, such as veterinary medicine.
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Our benchmark dataset was constructed using real-world exam papers collected from publicly available sources spanning the years 2013 to 2024. We selected subjects specifically requiring visual comprehension, such as medical diagnostics (e.g., interpreting X-ray and ultrasound images), geometry, electronic circuit design, and chemistry. For each question, we additionally collected human performance data, including average accuracy scores, to better gauge question difficulty and establish a human performance baseline.
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