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docs/pages/python_API/database/evaluation_dimensions.md

@@ -28,27 +28,27 @@ Provides utility methods to create and manage evaluation dimension models.
 
 #### Methods
 - `create_range_validator(low: int, high: int)`: Creates a validator for score ranges.
-  
+
   **Arguments:**
   - `low`: `int`. The minimum score allowed.
   - `high`: `int`. The maximum score allowed.
 
 - `build_dimension_model(dimension_ids: list[str])`: Builds a dimension model from primary keys.
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   **Arguments:**
   - `dimension_ids`: `list[str]`. A list of dimension primary keys.
 
 - `build_dimension_model_from_dict(dimensions: list[dict[str, Union[str, int]]])`: Builds a dimension model from a dictionary.
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   **Arguments:**
   - `dimensions`: `list[dict[str, Union[str, int]]]`. A list of dictionaries specifying dimension attributes.
 
 - `select_existing_dimension_model_by_name(dimension_names: list[str])`: Selects a dimension model by dimension names.
-  
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   **Arguments:**
   - `dimension_names`: `list[str]`. A list of dimension names.
 
 - `select_existing_dimension_model_by_list_name(list_name: str)`: Selects a dimension model by list name.
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   **Arguments:**
-  - `list_name`: `str`. The name of the dimension list.
+  - `list_name`: `str`. The name of the dimension list.