Open Preference Dataset for Text-to-Image Generation by the 🤗 Community

The Data is Better Together community releases yet another important dataset for open source development. Due to the lack of open preference datasets for text-to-image generation, we set out to release an Apache 2.0 licensed dataset for text-to-image generation. This dataset is focused on text-to-image preference pairs across common image generation categories, while mixing different model families and varying prompt complexities.

TL;DR? All results can be found in this collection on the Hugging Face Hub and code for pre- and post-processing can be found in this GitHub repository. Most importantly, there is a ready-to-go preference dataset and a flux-dev-lora-finetune. If you want to show your support already, don’t forget to like, subscribe and follow us before you continue reading further.

Unfamiliar with the Data is Better Together community?

[Data is Better Together](https://huggingface.co/data-is-better-together) is a collaboration between 🤗 Hugging Face and the Open-Source AI community. We aim to empower the open-source community to build impactful datasets collectively. You can follow the organization to stay up to date with the latest datasets, models, and community sprints.

Similar efforts

There have been several efforts to create an open image preference dataset but our effort is unique due to the varying complexity and categories of the prompts, alongside the openness of the dataset and the code to create it. The following are some of the efforts:

- [yuvalkirstain/pickapic_v2](https://huggingface.co/datasets/yuvalkirstain/pickapic_v2)
- [fal.ai/imgsys](https://imgsys.org/)
- [TIGER-Lab/GenAI-Arena](https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena)
- [artificialanalysis image arena](https://artificialanalysis.ai/text-to-image/arena)