Update README.md

README.md

@@ -44,17 +44,7 @@ To ensure the integrity and clarity of model attribution:
 - We **filtered out images that used more than one LoRA (Low-Rank Adaptation model)**, minimizing visual distortion or blending caused by mixed model influences.
 - We **limited image entries to those using at most two total resource IDs**, increasing the likelihood that a single base model was the dominant generator.
 
-This filtering ensures that the training data more accurately reflects the visual "style signature" of each individual base model.
-
-## Structure
-
-The final dataset is split into four Pandas DataFrames:
-- `flux_df`
-- `dreamshaper_df`
-- `juggernaut_df`
-- `pony_df`
-
-Each DataFrame contains images (and associated metadata) known to be generated using only the corresponding model.
+We are trying to find the visual "style signature" of each individual base model.
 
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