Update README.md

README.md

@@ -26,7 +26,7 @@ It merges three data sources:
 
 1. **Lizard Cyclomatic Analysis**: provides complexity, NLOC, and basic function metadata.  
 2. **AST Extracted Features**: includes detailed abstract syntax tree information such as token counts, parameters, variable extraction, and function bodies.  
-3. **Lexical Features**: captures lexical and structural features of each function (e.g., class structure, modifiers, incoming/outgoing calls, and statement types).
+3. **Lexical Features**: captures lexical and structural features of each function (e.g., class structure, modifiers, incoming/outgoing calls, and statement types) and presents it in natural language.
 
 The resulting **Dataset** represents each Python function as a unified row combining complexity metrics, lexical information, and AST structure — enabling advanced research in:
 - Code comprehension  
@@ -79,6 +79,7 @@ Each row corresponds to **one Python function** identified across open-source re
 | `function_num_lines`     | Number of lines of function (lexical)                                                              |
 | `outgoing_function_count` / `outgoing_function_names` | Number and names of functions called inside this function               |
 | `incoming_function_count` / `incoming_function_names` | Number and names of functions calling this function               |
+| `lexical_representation` | Present the code features as natural language.               |
 
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@@ -86,9 +87,9 @@ Each row corresponds to **one Python function** identified across open-source re
 
 - Static analysis performed on public Python repositories cloned from [GitHub](https://github.com) that apply the following characteristics (python language projects, commits > 500, and contributors > 10).
 - Function-level analysis uses:
-  - [`lizard`](https://github.com/terryyin/lizard) for cyclomatic complexity.
-  - Python AST parsing for structural features.
-  - Custom lexical parser for lexical metadata and call graphs.
+  - [`lizard`](https://pypi.org/project/lizard/) for cyclomatic complexity.
+  - Python AST (https://docs.python.org/3/library/ast.html) parsing for structural features.
+  - Lexical presentation driven by structural and 15 extract code features.
 
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@@ -97,8 +98,9 @@ Each row corresponds to **one Python function** identified across open-source re
 ### Collection
 1. Clone open-source Python repositories.
 2. Run Lizard static analysis to generate base metrics.
-3. Parse source files to extract AST and lexical features.
-4. Merge the three sources
+3. Parse source files to extract AST and 15 code features.
+4. Convert code features to natural language using rule-based code.
+5. Merge the three sources
 
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