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---
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
```python
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() |