---
license: apache-2.0
dataset_info:
  features:
  - name: image
    dtype: image
  - name: elo
    dtype: int64
  - name: __index_level_0__
    dtype: int64
  - name: category
    dtype: string
  - name: subcategory
    dtype: string
  splits:
  - name: train
    num_bytes: 298637443.176
    num_examples: 1999
  download_size: 290047395
  dataset_size: 298637443.176
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- t2i
- preference
- ranking
- rl
- image
pretty_name: 2k Ranked Images
---


<style>
  
.horizontal-container {
    display: flex;  
    flex-direction: row;
    justify-content: center;
    gap: 60px;  
}

.image-container img {
  max-height: 250px; /* Set the desired height */
  margin:0;
  object-fit: contain; /* Ensures the aspect ratio is maintained */
  width: auto; /* Adjust width automatically based on height */
  box-sizing: content-box;
}

.image-container {
  display: flex; /* Aligns images side by side */
  justify-content: space-around; /* Space them evenly */
  align-items: center; /* Align them vertically */
  gap: .5rem
}

  .container {
    width: 90%;
    margin: 0 auto;
  }
  
</style>

# 2k Ranked Images
This dataset contains roughly two thousand images ranked from most preferred to least preferred based on human feedback on pairwise comparisons (>25k responses). 
The generated images, which are a sample from the [open-image-preferences-v1 dataset](https://huggingface.co/datasets/data-is-better-together/open-image-preferences-v1) 
from the team @[data-is-better-together](https://huggingface.co/data-is-better-together), are rated purely based on aesthetic preference, disregarding the prompt used for generation.
We provide the categories of the original dataset for easy filtering.

This is a new modality of preference data for us, different from our typical pairwise preferences, that we wanted to try out. If this type of data is useful of interesting to
you, please ❤️ the dataset. If there is community interest and this dataset gets 30 ❤️s we will rank the full set of **17k** images!

## Examples
**Some of the most preferred images**

A lot of the most preferred images represent beautiful and serene landscapes and nature scenes.

<div class="horizontal-container">
  <div clas="container">
    <div class="image-container">
      <div>
        <img src="https://cdn-uploads.huggingface.co/production/uploads/6710d82fd3a72fc574ea620f/0dhyUpg7OWx_vwwFyi3A5.jpeg" width=300>
      </div>
      <div>
        <img src="https://cdn-uploads.huggingface.co/production/uploads/6710d82fd3a72fc574ea620f/Vb1T_3egXRYAarPZ8ecjb.jpeg" width=300>
      </div>
      <div>
        <img src="https://cdn-uploads.huggingface.co/production/uploads/6710d82fd3a72fc574ea620f/fkSMZOUffF_0jEWKkLs5L.jpeg" width=300>
      </div>
      <div>
        <img src="https://cdn-uploads.huggingface.co/production/uploads/6710d82fd3a72fc574ea620f/B0klO4wCY_vHEGJTpVNoM.jpeg" width=300>
      </div>
    </div>
  </div>
</div>

**Some of the least preferred images**

The least preferres images are more diverse, but often contain scary, malformed, or just plain boring subjects.

<div class="horizontal-container">
  <div clas="container">
    <div class="image-container">
      <div>
        <img src="https://cdn-uploads.huggingface.co/production/uploads/6710d82fd3a72fc574ea620f/2qQj9CQkPV9OFIqmAiVHk.jpeg" width=300>
      </div>
      <div>
        <img src="https://cdn-uploads.huggingface.co/production/uploads/6710d82fd3a72fc574ea620f/WR26hcaYIa7AWgwi4N8FR.jpeg" width=300>
      </div>
      <div>
        <img src="https://cdn-uploads.huggingface.co/production/uploads/6710d82fd3a72fc574ea620f/l3TiV30JvmwBdB63mvOjB.jpeg" width=300>
      </div>
      <div>
        <img src="https://cdn-uploads.huggingface.co/production/uploads/6710d82fd3a72fc574ea620f/3vGcb4w4iDSLci-77CCSb.jpeg" width=300>
      </div>
    </div>
  </div>
</div>


<a href="https://www.rapidata.ai">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="Dataset visualization">
</a>

Rank your own images through [our API](https://docs.rapidata.ai)!