Update README.md

README.md

@@ -49,3 +49,85 @@ configs:
   - split: default
     path: snapshots/default-*
 ---
+# Thermal Block Dataset
+
+## Dataset Description
+
+This dataset contains thermal diffusion simulations on a 2D block geometry with varying thermal conductivity parameters.
+
+### Dataset Summary
+
+The Thermal Block dataset provides numerical simulations of heat transfer in a 2D block with parametrized thermal conductivity. The dataset is useful for reduced-order modeling, surrogate modeling, and physics-informed machine learning applications in thermal analysis.
+
+## Dataset Structure
+
+### Data Instances
+
+The dataset consists of three configurations:
+
+- **geometry**: Mesh information (nodes and connectivity)
+- **snapshots**: Temperature field solutions
+- **parameters**: Thermal conductivity values for each simulation
+
+### Data Fields
+
+#### Geometry Configuration
+- `node_coordinates_x`: Sequence of x-coordinates of mesh nodes (float64)
+- `node_coordinates_y`: Sequence of y-coordinates of mesh nodes (float64)
+- `connectivity`: Sequence of element connectivity (triangular elements, int32)
+
+#### Snapshots Configuration
+- `temperature`: Temperature field at each node (float64)
+
+#### Parameters Configuration
+- `conductivity`: Thermal conductivity parameter for each simulation (float64)
+
+### Data Splits
+
+- `default`: Contains all simulations
+
+## Dataset Creation
+
+### Source Data
+
+The dataset was generated using finite element simulations of the heat equation with varying thermal conductivity parameters.
+
+### Preprocessing
+
+Solutions are stored as 1D arrays corresponding to the nodal values on the mesh.
+
+## Usage
+
+```python
+from datasets import load_dataset
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.tri as mtri
+
+# Load geometry
+ds_geom = load_dataset("SISSAmathLab/thermal-block", name="geometry")
+
+# Load snapshots
+ds_data = load_dataset("SISSAmathLab/thermal-block", name="snapshots")
+
+# Load parameters
+ds_params = load_dataset("SISSAmathLab/thermal-block", name="parameters")
+
+# Visualize temperature distribution for first simulation
+pts_x = np.asarray(ds_geom['default']['node_coordinates_x']).flatten()
+pts_y = np.asarray(ds_geom['default']['node_coordinates_y']).flatten()
+connectivity = ds_geom['default']['connectivity'][0]
+temperature = ds_data['default']['temperature'][0]
+
+triang = mtri.Triangulation(pts_x, pts_y, connectivity)
+plt.tripcolor(triang, temperature)
+plt.colorbar(label='Temperature')
+plt.title('Thermal Block - Temperature Distribution')
+plt.xlabel('x')
+plt.ylabel('y')
+plt.show()
+```
+
+## Contact
+
+For questions or issues, please contact SISSA mathLab.