Update README.md

README.md

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 # SNet-T25
 SNet-T25 is an MLIP trained on the Titan25 dataset.
 It was designed for general chemical reactivity, including interfacial reactions,
-and trained on the eleven elements included in Titan25 (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru).
+and trained on the eleven elements included in [Titan25](https://huggingface.co/datasets/aixsim/Titan25) (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru).
 Detailed evaluation results are available at [GAIA paper](https://arxiv.org/abs/2509.25798),
 which also provides full details of the model architecture and hyperparameters.