Update README.md

README.md

@@ -46,6 +46,8 @@ The Boring embeddings were specifically trained on artworks automatically select
 that no user has ever favorited them, and they have 0 or only a very small number of up or down votes.  The Boring embeddings 
 thus learned to produce uninteresting low-quality images, so when they are used in the negative prompt of a stable diffusion image generator, 
 the model avoids making mistakes that would make the generation more boring.  
+Each training sample consisted of an image paired with a comma-separated list of all the tags associated with it on the site it was sourced from, with the embedding’s name prepended to the list. 
+This ensures that the model learns to associate the embedding with the characteristics of uninteresting images in a way that aligns with the dataset’s tagging system.
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