Update README.md

README.md

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 ### Published Lean code is clustered via combinatorial hierarchical clustering
 
+### Details 
+
+- Total Files in the Github repo is **122141**
+- Total Lean code lines **22358566**
+- Total Lines taken for Clustering **5000000**
+- Total Documents taken for Clustering **25391**
+- Number of Code Line Clusters generated **248289**
+- Number of File Clusters generated **3131**
+- Total Lines in these clusters **3628607**
+- Total Docs in these clusters **24738**
+- % of lines which are clustered **72%**
+- % of docs which are clustered **97%**
+
+### How to understand the data
+
+- Finding similar contextual blocks allows the Lean code to be understood easily. Because the amount of generated code is so large that entire proofs can't be manually evaluated. 
+
+- Finding similarity allows for easier code understanding because contextual comparison links both different part of code, files and domins easily. 
+
+- Since this is LLM-generated Lean code for the mathematical proof, it will make tracing the reasoning or the method of LLM generation possible. 
+
+- Full contextual clustering will be updated soon. 
+
 ## Method
 1. The Lean code data is combined from all Lean code files in the GitHub repo.
 1. The code data is fed to the Graph AI based combinatorial clustering method directly. No change.