Update README.md

README.md

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 # SNet-T25
 SNet-T25 is an MLIP trained on [Titan25 dataset](https://huggingface.co/datasets/aixsim/Titan25).
 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 1.8M data points across 11 elements (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru).
 The evaluation results are available in [GAIA paper](https://arxiv.org/abs/2509.25798),
 which also provides full details of the model architecture and hyperparameters.