ML Dataset Generation

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This guide is coming soon. Below is an outline of what it will cover.

Planned Content

• Motivation — why ML-ready power system datasets are needed
• Dataset Formats — graph-structured (PyG/DGL) and tabular formats
• Cascade Datasets — generating failure propagation datasets
• Power Flow Datasets — generating steady-state datasets
• Data Augmentation — topology perturbation, load scaling
• Integration with PyG/DGL — loading datasets into PyTorch Geometric and DGL
• Benchmarking — standard splits and evaluation protocols