task_categories:image-to-image size_categories:1K<n<10K language:en region:us
---
dataset_info:
  features:
  - name: original_image
    dtype: image
  - name: edit_prompt
    dtype: string
  - name: cartoonized_image
    dtype: image
  splits:
  - name: train
    num_bytes: 3257571330
    num_examples: 5000
  download_size: 3296272284
  dataset_size: 3257571330
size_categories:
- 1K<n<10K
language:
- en
task_categories:
- image-to-image
---
# Instruction-prompted cartoonization dataset 

This dataset was created from 5000 images randomly sampled from the [Imagenette dataset](https://github.com/fastai/imagenette). For  more 
details on how the dataset was created, check out [this directory](https://github.com/sayakpaul/instruction-tuned-sd/tree/main/data_preparation). 

Following figure depicts the data preparation workflow:

<p align="center">
<img src="https://huggingface.co/datasets/sayakpaul/sample-datasets/resolve/main/cartoonization_data_wheel.png" width=600/>
</p>

## Known limitations and biases

The dataset was derived from Imagenette, which, in turn, was derived from [ImageNet](https://www.image-net.org/). So, naturally, this
dataset inherits the limitations and biases of ImageNet. 

## Licensing

The dataset was derived from Imagenette, which, in turn, was derived from [ImageNet](https://www.image-net.org/). So, this dataset's license 
is the same as ImageNet.