updation

README.md

@@ -31,17 +31,19 @@ tags:
 size_categories:
 - 1K<n<10K
 ---
-# 🖼️ Image Editing Dataset with Prompts
+# 🖼️ Portrait to Anime Style Tranfer Data
 
-This dataset contains pairs of images and prompts for training or evaluating image-to-image and text-to-image models.
+This dataset consists of paired human and corresponding anime-style images, accompanied by descriptive prompts. The human images are sourced from the CelebA dataset, and the anime-style counterparts were generated using a combination of state-of-the-art GAN architectures and diffusion models.
+
+It is designed to support a wide range of tasks, **including GAN research**, **diffusion model fine-tuning**, **model evaluation**, and **benchmarking for image-to-image and text-to-image translation**.
 
 ## 📁 Dataset Structure
 
 Each sample contains:
-- `input_image`: Original image (before editing)
-- `edit_prompt`: Text instruction describing the desired edit
+- `input_image`: Original image 
+- `edit_prompt`: Text instruction describing the desired style
 - `edited_image`: Resulting image after applying the edit
-- `index`: Unique numeric identifier
+- `index`: default integer with 0 value
 
 ## 🚀 How to Use
 
@@ -49,12 +51,5 @@ Each sample contains:
 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()
+dataset = load_dataset("murali1729S/portrait_2_avatar",split="train")
+```