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Update README.md

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@@ -26,14 +26,12 @@ language:
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  - en
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  tags:
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  - imagenet
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- - shape-bias
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- - texture-bias
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  - vision-language-model
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  pretty_name: Low-/High-Frequency Cue-Conflict
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  ---
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- This dataset contains images with low- and high-frequency cue conflicts, as described in the paper [Are Vision Language Models Texture or Shape Biased and Can We Steer Them?](https://huggingface.co/papers/2403.09193).
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- The dataset consists of images where the low-frequency information (shape) and high-frequency information (texture) indicate different classes. This dataset can be used to evaluate the shape-bias of vision-language models.
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- # File information
 
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  - en
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  tags:
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  - imagenet
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+ - frequncy-bias
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+ - texture-shape-bias
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  - vision-language-model
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  pretty_name: Low-/High-Frequency Cue-Conflict
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  ---
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+ This dataset contains images of natural objects with low- and high-frequency cue conflicts, as described in the paper [Can We Talk Models Into Seeing the World Differently?](https://huggingface.co/papers/2403.09193).
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+ The dataset consists of 1200 images where the low-frequency and high-frequency information correlate with different classes (out of 16 classes). This dataset can be used to evaluate the frequency-bias of vision models.