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