update: datasets links

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README.md

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 **OpenSWI** is a comprehensive 1D dataset for surface-wave dispersion curve inversion, specifically designed for both shallow subsurface exploration (\~3 km) and deep geological studies (\~300 km). The dataset contains synthetic data derived from a variety of geological models, as well as real-world observational data, providing an invaluable resource for assessing and enhancing the generalization capabilities of deep learning models. The dataset includes:
 
-* **OpenSWI-Shallow**: 1D velocity profiles derived from 2D velocity models (OpenFWI dataset), paired with corresponding surface wave dispersion curves.
-* **OpenSWI-Deep**: 1D velocity profiles generated from high-resolution 3D geological models, sourced globally and regionally, tailored for deep geological studies.
-* **OpenSWI-Real**: AI-ready observational data from Long Beach, USA, and the China Seismological Reference Model Project, with 1D velocity profiles and corresponding surface wave dispersion curves.
+* [**OpenSWI-Shallow**](./Datasets/OpenSWI-shallow/0.2-10s-Aug/): 1D velocity profiles derived from 2D velocity models (OpenFWI dataset), paired with corresponding surface wave dispersion curves.
+* [**OpenSWI-Deep**](./Datasets/OpenSWI-deep/homo-thickness-aug/): 1D velocity profiles generated from high-resolution 3D geological models, sourced globally and regionally, tailored for deep geological studies.
+* [**OpenSWI-Real**](./Datasets/OpenSWI-real/): AI-ready observational data from Long Beach, USA, and the China Seismological Reference Model Project, with 1D velocity profiles and corresponding surface wave dispersion curves.
 
 These datasets are ideal for training and evaluating deep learning models focused on surface-wave dispersion curve inversion tasks.