Datasets:
Tasks:
Image-Text-to-Text
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
License:
Update README.md
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README.md
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PopVQA is a dataset designed to study the performance gap in vision-language models (VLMs) when answering factual questions about entities presented in **images** versus **text**.
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Paper: https://huggingface.co/papers/2412.14133
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Code: https://github.com/
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PopVQA is a dataset designed to study the performance gap in vision-language models (VLMs) when answering factual questions about entities presented in **images** versus **text**.
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Paper: https://huggingface.co/papers/2412.14133
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Code: https://github.com/ido-co/vlm-modality-gap
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