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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%)
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