Update README.md

README.md

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 # DatologyAI CLIP Retrieval Optimized ViT-B/32
 
-**DatologyAI CLIP Retrieval** is a state-of-the-art vision-language model optimized for image-text retrieval tasks through advanced data curation. This retrieval-optimized ViT-B/32 model achieves competitive performance with SigLIP2 while requiring significantly less compute.
+**DatologyAI CLIP Retrieval** is a state-of-the-art contrastive vision-language model optimized for image-text retrieval tasks through advanced data curation. This retrieval-optimized ViT-B/32 model achieves competitive performance with SigLIP2 while requiring significantly less compute.
 
 ## Model Description
 
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 ## Training Data
 
-The model was trained on image-text pairs curated from the **DataComp Extra-Large** dataset using DatologyAI's retrieval-optimized curation pipeline, selecting high-quality pairs that enhance cross-modal alignment.
+The model was trained on image-text pairs curated from the **DataComp-XL** dataset using DatologyAI's retrieval-optimized curation pipeline, selecting high-quality pairs that enhance cross-modal alignment.
 
 ## Evaluation Results