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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 your-email@example.com.
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 theLICENSE
file in the repository. - Contact Details: Update the contact email with your actual email address.
This README provides a comprehensive overview and usage instructions for your dataset, making it easier for others to understand and work with your data.
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