Volcanic Event Classification Dataset and Data Loader

This project contains a dataset for classifying volcanic events and a Jupyter Notebook (DataModuleTestThraws.ipynb) for loading and preprocessing this data using PyTorch and PyTorch Lightning.

Dataset Structure

The dataset is organized into two main directories:

TrainVal/: Contains data for training and validation.
Test/: Contains data for testing the trained model.

Within both TrainVal/ and Test/ directories, there are two subdirectories:

event/: Contains data samples corresponding to volcanic events.
notevent/: Contains data samples corresponding to non-event (background) instances.

All data samples are stored in .pkl files. These files likely contain image data, possibly as NumPy arrays, representing satellite imagery or other sensor data related to volcanic activity.