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@@ -14,6 +14,7 @@ task_categories:
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  pretty_name: Python Function's code feature
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  size_categories:
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  - 1M<n<10M
 
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  ---
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  # πŸ“Š Python Function-Level AST and Lexical Features Dataset
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  ---
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  ## πŸ“‚ Dataset Structure
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  Each row corresponds to **one Python function** identified across open-source repositories.
@@ -88,5 +100,9 @@ Each row corresponds to **one Python function** identified across open-source re
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  3. Parse source files to extract AST and lexical features.
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  4. Merge the three sources
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-
 
 
 
 
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  pretty_name: Python Function's code feature
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  size_categories:
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  - 1M<n<10M
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+ license: cc-by-4.0
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  ---
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  # πŸ“Š Python Function-Level AST and Lexical Features Dataset
 
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  ---
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+ ## 🧠 Intended Uses
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+
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+ - Feature extraction for code comprehension and maintainability modeling.
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+ - Supervised learning for:
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+ - Maintainability prediction (regression / ordinal classification).
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+ - Refactoring-need ranking (learning-to-rank).
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+ - Benchmarking code-representation learning or graph-based refactoring tools.
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+ - Downstream tasks such as clone detection, defect prediction, and code search.
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+
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+ ---
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+
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  ## πŸ“‚ Dataset Structure
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  Each row corresponds to **one Python function** identified across open-source repositories.
 
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  3. Parse source files to extract AST and lexical features.
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  4. Merge the three sources
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+ ---
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+ ## πŸ’‘ How to Load
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+ ```python
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+ from datasets import load_dataset
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+ data = load_dataset("ReemAlehaidib/pyfunc-fe", split="train")