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@@ -25,6 +25,8 @@ To build the ImageRewadDB, we design a pipeline tailored for it, establishing cr
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  annotator training, optimizing labeling experience, and ensuring quality validation. And ImageRewardDB is now publicly available at
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  [🤗 Hugging Face Dataset](https://huggingface.co/datasets/wuyuchen/ImageRewardDB).
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  ### Languages
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  The text in the dataset is all in English.
 
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  annotator training, optimizing labeling experience, and ensuring quality validation. And ImageRewardDB is now publicly available at
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  [🤗 Hugging Face Dataset](https://huggingface.co/datasets/wuyuchen/ImageRewardDB).
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+ Notice: All images in ImageRewardDB are collected from DiffusionDB, and in addition, we gathered together images corresponding to the same prompt.
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  ### Languages
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  The text in the dataset is all in English.