sanaa13/breastmnist2

BreastMNIST Dataset

This dataset contains medical imaging data for breast cancer classification. It is split into training, validation, and test sets.

Dataset Structure

The dataset includes:

• —train_images: Images for training
• —train_labels: Labels for training
• —val_images: Images for validation
• —val_labels: Labels for validation
• —test_images: Images for testing
• —test_labels: Labels for testing

Configurations

datasets:

• —name: breastmnist configs:
• —name: default description: "Default configuration with all available data."
• —name: balanced description: "Configuration with a balanced dataset between classes." ---

Usage

You can load the dataset using the following commands:

from datasets import load_dataset

# Load the default configuration
dataset = load_dataset("sanaa13/breastmnist1", "default")

# Load the balanced configuration
balanced_dataset = load_dataset("sanaa13/breastmnist1", "balanced")