Datasets:

hcarrion
/

ControllabeGenDDI

dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
    - name: file_name
      dtype: string
    - name: synthetic_type
      dtype:
        class_label:
          names:
            '0': healthy
            '1': lesion-mapped
            '2': semantic
    - name: prompt_healthy_image_id
      dtype: int32
    - name: prompt_healthy_image_skin_tone
      dtype: int32
    - name: prompt_healthy_image_has_ruler
      dtype: bool
    - name: prompt_disease
      dtype: string
    - name: prompt_disease_malignancy
      dtype: float32
    - name: prompt_text_skin_tone
      dtype: float32
    - name: parametric_synthetic
      dtype: float32
    - name: training_samples
      dtype: float32
  splits:
    - name: train
      num_bytes: 25165990894.36
      num_examples: 266136
  download_size: 9154922115
  dataset_size: 25165990894.36
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: apache-2.0
task_categories:
  - image-to-image
  - text-to-image
  - image-classification
language:
  - en
tags:
  - medical
pretty_name: cgDDI
size_categories:
  - 100K<n<1M

Dataset Card for cgDDI

This repository is the official dataset of cgDDI: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification which is currently under review. As this paper is not openly distributed (or on Arxiv), the method detail here will be minimal.

🥐 Croissant File 🥐

We host a dedicated and manually extended croissant file, expanding on the one automatically generated by HuggingFace. This file includes RAI fields and additional metadata useful to the research community. It is available on this repo, direct link here: https://huggingface.co/datasets/hcarrion/ControllabeGenDDI/resolve/main/croissant_rai.json

Dataset Details

We do not re-host previous artifacts, thus remember to fetch the original DDI dataset at https://ddi-dataset.github.io/ and the sDDI masks from https://github.com/hectorcarrion/FEDD.

Further discussed on the manuscript. Soon to be added here post-review!

Code

All code can be found on https://github.com/hectorcarrion/ControllableGenDDI along with a README.

Models

Models can be found at the following links:

Usage Terms

We release this data, code and models with the intent of academic use and to promote fairness research. We do not allow un-ethical usage of these artifacts.