diff --git a/deepeval/dataset/dataset.py b/deepeval/dataset/dataset.py
index 939d5617..1aad97f8 100644
--- a/deepeval/dataset/dataset.py
+++ b/deepeval/dataset/dataset.py
@@ -420,7 +420,11 @@ def get_column_data(df: pd.DataFrame, col_name: str, default=None):
                 else [default] * len(df)
             )
 
-        df = pd.read_csv(file_path).astype(object).where(pd.notna(pd.read_csv(file_path)), None)
+        df = (
+            pd.read_csv(file_path)
+            .astype(object)
+            .where(pd.notna(pd.read_csv(file_path)), None)
+        )
 
         inputs = get_column_data(df, input_col_name)
         actual_outputs = get_column_data(df, actual_output_col_name)
diff --git a/docs/docs/synthesizer-generate-from-contexts.mdx b/docs/docs/synthesizer-generate-from-contexts.mdx
index 755444d9..e02aa31d 100644
--- a/docs/docs/synthesizer-generate-from-contexts.mdx
+++ b/docs/docs/synthesizer-generate-from-contexts.mdx
@@ -46,7 +46,7 @@ synthesizer.generate_goldens_from_contexts(
 )
 ```
 
-There are one mandatory and two optional parameters when using the `generate_goldens_from_contexts` method:
+There are one mandatory and three optional parameters when using the `generate_goldens_from_contexts` method:
 
 - `contexts`: a list of context, where each context is itself a list of strings, ideally sharing a common theme or subject area.
 - [Optional] `include_expected_output`: a boolean which when set to `True`, will additionally generate an `expected_output` for each synthetic `Golden`. Defaulted to `True`.