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📘 MicroEvoEval Dataset
This repository contains five benchmark microstructure evolution datasets commonly used in scientific machine learning, PDE surrogate modeling, and spatiotemporal prediction research. All datasets are stored in NumPy .npy format, where each file represents one temporal evolution sequence.
📂 Dataset Size
Number of sample in each datasets:
| Dataset Name | Train | Valid | Test (10-10) | Test (10-50) | Test (10-90) |
|---|---|---|---|---|---|
| Dendrite_growth | $19740$ | $1260$ | $2100$ | $1100$ | $100$ |
| Plane_wave_propagation | $11040$ | $1380$ | $4600$ | $3600$ | $2600$ |
| Grain_growth | $1520$ | $380$ | $46000$ | $36000$ | $26000$ |
| Spinodal_decomposition | $13440$ | $3339$ | $23460$ | $18360$ | $13260$ |
| Dumbbell | $4200$ | $630$ | $1050$ | $550$ | $50$ |
📁 Directory Structure
dataset/
├── Dendrite_growth/
│ ├── Dendrite_growth_train_10_10.npy
│ ├── Dendrite_growth_valid_10_10.npy
│ ├── Dendrite_growth_test_10_10.npy
│ ├── Dendrite_growth_test_10_50.npy
│ └── Dendrite_growth_test_10_90.npy
├── Plane_wave_propagation/
├── Grain_growth/
├── Spinodal_decomposition/
└── Dumbbell/
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