diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 8ddbbe8945002..56cb22741b9a3 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -86,7 +86,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
         -i "pandas.core.resample.Resampler.quantile PR01,PR07" \
         -i "pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
-        -i "pandas.errors.ValueLabelTypeMismatch SA01" \
         -i "pandas.plotting.andrews_curves RT03,SA01" \
         -i "pandas.tseries.offsets.BDay PR02,SA01" \
         -i "pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
index f150de3d217f2..2b5bc450e41d6 100644
--- a/pandas/errors/__init__.py
+++ b/pandas/errors/__init__.py
@@ -820,6 +820,16 @@ class ValueLabelTypeMismatch(Warning):
     """
     Warning raised by to_stata on a category column that contains non-string values.
 
+    When exporting data to Stata format using the `to_stata` method, category columns
+    must have string values as labels. If a category column contains non-string values
+    (e.g., integers, floats, or other types), this warning is raised to indicate that
+    the Stata file may not correctly represent the data.
+
+    See Also
+    --------
+    DataFrame.to_stata : Export DataFrame object to Stata dta format.
+    Series.cat : Accessor for categorical properties of the Series values.
+
     Examples
     --------
     >>> df = pd.DataFrame({"categories": pd.Series(["a", 2], dtype="category")})