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README.md
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@@ -60,7 +60,7 @@ For quick start please have a look this [demo](https://github.com/ahmedssabir/Te
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### Download
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0. [Dowload Raw data with ID and Visual context](https://www.dropbox.com/s/xuov24on8477zg8/All_Caption_ID.csv?dl=0) -> original dataset with related ID caption [train2014](https://cocodataset.org/#download)
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<!-- 4. [Download Dataset GenderBias](https://www.dropbox.com/s/1wki0b0d21078mj/gender%20natural.zip?dl=0)-> man/woman replaced with person class label -->
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For future work, we plan to extract the visual context from the caption (without using a visual classifier) and estimate the visual relatedness score by
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employing unsupervised learning (i.e. contrastive learning). (work in progress)
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```
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<!--
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### Download
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0. [Dowload Raw data with ID and Visual context](https://www.dropbox.com/s/xuov24on8477zg8/All_Caption_ID.csv?dl=0) -> original dataset with related ID caption [train2014](https://cocodataset.org/#download)
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<!-- 4. [Download Dataset GenderBias](https://www.dropbox.com/s/1wki0b0d21078mj/gender%20natural.zip?dl=0)-> man/woman replaced with person class label -->
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For future work, we plan to extract the visual context from the caption (without using a visual classifier) and estimate the visual relatedness score by
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employing unsupervised learning (i.e. contrastive learning). (work in progress)
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