size_categories:1K<n<10K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
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    num_examples: 8071
  download_size: 166876827
  dataset_size: 182934925.572
---
# Dataset Card for "criminal-sketch-Hr"

This data was created by processing the original dataset available [here](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&dataSetSn=618). 
The original dataset contains text descriptions of the virtual personas and corresponding composite sketch images.

## Disclaimer

It's important to note that this dataset may not be ideal for training general-purpose text-to-image models. \
The fixed format of the text descriptions ("gender, age, face shape, hairstyle, eye features, nose features, ...") could lead to overfitting. \
In simpler terms, the model might become limited to generating images based on this specific format, but struggle with more diverse or natural language descriptions.

While acknowledging this limitation, I chose to proceed with this dataset due to the challenges associated with using natural language descriptions. \
Way too nuanced and diverse text data can be difficult for a model to learn from effectively, especially in a time-constrained training environment. \
To mitigate this, I employed a strategy of selecting specific bullet points from the original text file and merging them into grammatically correct sentences. \
This approach aimed to capture the essence of the natural descriptions while providing a more structured format for the model to learn from.



[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)