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Update README.md

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@@ -141,4 +141,32 @@ The following preprocessing steps were applied:
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  # Split
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- - Dataset was split into a 70/15/15 ratio
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Split
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+ - Dataset was split into a 70/15/15 ratio
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+ # Final Statistics
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+ The final statistics of the dataset before and after preprocessing are as follows:
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+ **Original Count**: 25,480
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+ **After Preprocessing**: 18,219
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+ **Retention Rate**: 72%
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+ **Average Docstring Length**: 272
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+ **Average Source Code Length**: 1219
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+ **Average AST Sequence Length**: 91
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+ **Type Distribution**:
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+ - Methods: 9,135 (50.1%)
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+ - Functions: 6,322 (34.7%)
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+ - Classes: 2, 762 (15.2%)
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+ **Top Contributors**:
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+ - pytorch: 4,330 (23.8%)
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+ - tensorflow: 3,972 (21.8%)
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+ - django: 1,778 (9.8%)
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+ - matplotlib: 1,454 (8%)
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+ - pandas: 903 (5%)