As larger and more diverse datasets are generated and published in the literature, existing and novel methodologies can be trained to leverage the additional data, resulting in higher accuracy models B3LYP-D3/TZVP. These systems contain up to ten heavy atoms, with only the elements C, H, N and O. RGD1 is the largest and most diverse TS dataset available, but has not yet been utilised in published, peer-reviewed literature for TS geometry prediction. We anticipate this dataset will be a valuable resource for this field in the future.