Grain Growth Dataset for Topological Data Analysis
This dataset contains grain growth simulations for studying microstructure evolution and topological features.
Dataset Configurations
minimal
Full resolution grain labels with basic statistics
- Train: 41140 examples
- Val: 5142 examples
- Test: 5143 examples
minimal_exploration
Downsampled 200×200 for rapid prototyping
- Train: 41140 examples
- Val: 5142 examples
- Test: 5143 examples
Quick Start
from datasets import load_dataset
# Load dataset
dataset = load_dataset("your-repo/grain-growth", "minimal", streaming=True)
# Process examples
for example in dataset['train']:
labels = example['grain_labels']
# Compute features as needed
boundaries = extract_grain_boundaries(labels)
See the main dataset card for detailed usage examples and feature descriptions.