The Uniqueness metric evaluates the diversity of the generated structures, specifically the proportion of unique structures among the 20 samples for each text prompt based on the StructureMatcher class in Pymatgen 32 library. The baseline BERT model exhibits a slightly higher unique score compared to Crystal CLIP, likely due to Crystal CLIP's tendency to generate structures with compositions that closely match the given text prompts. Despite this, both models maintain a high uniqueness rate, exceeding 90%, which demonstrates their capability to produce varied outputs.