README.md

metadata

dataset_info:
  features:
    - name: input_image
      dtype: image
    - name: edit_prompt
      dtype: string
    - name: edited_image
      dtype: image
    - name: index
      dtype: int64
  splits:
    - name: train
      num_bytes: 8686582352.97
      num_examples: 7265
  download_size: 8686714223
  dataset_size: 8686582352.97
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-to-image
  - text-to-image
language:
  - en
tags:
  - ar
size_categories:
  - 1K<n<10K

🖼️ Image Editing Dataset with Prompts

This dataset contains pairs of images and prompts for training or evaluating image-to-image and text-to-image models.

📁 Dataset Structure

Each sample contains:

• input_image: Original image (before editing)
• edit_prompt: Text instruction describing the desired edit
• edited_image: Resulting image after applying the edit
• index: Unique numeric identifier

🚀 How to Use

from datasets import load_dataset

# Replace with your dataset path
dataset = load_dataset("your-username/your-dataset-name")

# Access a sample
sample = dataset["train"][0]
print(sample["edit_prompt"])

# Show the input image
input_image = sample["input_image"]
input_image.show()