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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-to-image
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+ language:
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+ - en
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+ pretty_name: ImageReward Dataset
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # ImageRewardDB
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+
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+ ## Dataset Description
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+
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+ - **Homepage: https://huggingface.co/datasets/wuyuchen/ImageRewardDB**
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+ - **Repository: TBD**
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+ - **Paper: TBD**
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+
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+ ### Dataset Summary
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+
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+ ImageRewardDB is a comprehensive text-to-image comparison dataset, focusing on text-to-image human preference.
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+ It consists of 137k pairs of expert comparisons, based on text prompts and corresponding model outputs from DiffusionDB.
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+ To build the ImageRewadDB, we design a pipeline tailored for it, establishing criteria for quantitative assessment and
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+ annotator training, optimizing labeling experience, and ensuring quality validation. And ImageRewardDB is now public available at
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+ [🤗 Hugging Face Dataset](https://huggingface.co/datasets/wuyuchen/ImageRewardDB).
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+
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+ ### Languages
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+
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+ The text in the dataset is all in English.
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+
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+ ### Four Subsets
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+
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+ Considering that the ImageRewardDB contains a large number of images, we provide four subsets in different scales to support different needs.
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+
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+ |Subset|Num of Images|Num of Prompts|Size|Image Directory|
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+ |:--|--:|--:|--:|--:|
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+ |ImageRewardDB 1K|TBD|1K|TBD|`images/`|
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+ |ImageRewardDB 2K|TBD|2K|TBD|`images/`|
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+ |ImageRewardDB 4K|TBD|4K|TBD|`images/`|
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+ |ImageRewardDB 8K|TBD|8K|TBD|`images/`|
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ [More Information Needed]
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+
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+ ### Data Splits
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+
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+ [More Information Needed]
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+ ### Dataset Curators
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+ [More Information Needed]
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+ ### Citation Information
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+ [More Information Needed]
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+ ### Contributions
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+
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+ [More Information Needed]