sanjay7178/amul-mascot-girl

Amul Hits Dataset

Overview

The Amul Hits Dataset contains a collection of images and their associated metadata from Amul's iconic advertisements and campaigns spanning several decades. This dataset is designed to provide access to high-quality images along with descriptive metadata for each advertisement.

Dataset Structure

The dataset is organized into directories by year, each containing image files. The directory structure is as follows:

Each image file is named descriptively and is accompanied by metadata including:

• year: The year of publication (string).
• image_name: The name of the image file (string).
• image_path: Path to the image file (string).
• title: Title or primary text related to the image (string).
• alt: Alternative text describing the image (string).

Features

The dataset includes the following features:

• year: The year of publication (string).
• image_name: The name of the image file (string).
• image: The image itself (image).
• title: The title or primary text related to the image (string).
• alt: Alternative text describing the image (string).

Usage

To use this dataset, you need to have the datasets library from Hugging Face installed. You can install it using pip:

pip install datasets

Once installed, you can load the dataset using the following code:

from datasets import load_dataset

Replace 'your-username/amul-hits-images' with your actual dataset repository name

dataset = load_dataset("your-username/amul-hits-images")

Access the data

print(dataset['train'][0])

Contribution

Contributions to the dataset are welcome! If you have suggestions for improvements or additional data, please open an issue or submit a pull request.

License

This dataset is provided under the [LICENSE_NAME] license. Please refer to the LICENSE file in the repository for detailed license information.

Acknowledgements

Special thanks to the creators of the Amul Hits advertisements whose work forms the basis of this dataset.

Contact

For any questions or inquiries, please contact [email protected].

Customization Notes:

• Replace Placeholders: Make sure to replace sanjay7178/amul-mascot-girl with your actual Hugging Face repository name.
• License Information: Update [LICENSE_NAME] with the actual license your dataset is provided under, and ensure to include the LICENSE file in the repository.
• Contact Details: Update the contact email with your actual email address.

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