diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 2817d84bad7b8..8bafcb8944e14 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -109,7 +109,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.core.resample.Resampler.std SA01" \
         -i "pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
         -i "pandas.core.resample.Resampler.var SA01" \
-        -i "pandas.errors.DuplicateLabelError SA01" \
         -i "pandas.errors.IntCastingNaNError SA01" \
         -i "pandas.errors.InvalidIndexError SA01" \
         -i "pandas.errors.NullFrequencyError SA01" \
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
index 5642b0d33b4f7..70e523688c644 100644
--- a/pandas/errors/__init__.py
+++ b/pandas/errors/__init__.py
@@ -393,6 +393,19 @@ class DuplicateLabelError(ValueError):
     """
     Error raised when an operation would introduce duplicate labels.
 
+    This error is typically encountered when performing operations on objects
+    with `allows_duplicate_labels=False` and the operation would result in
+    duplicate labels in the index. Duplicate labels can lead to ambiguities
+    in indexing and reduce data integrity.
+
+    See Also
+    --------
+    Series.set_flags : Return a new ``Series`` object with updated flags.
+    DataFrame.set_flags : Return a new ``DataFrame`` object with updated flags.
+    Series.reindex : Conform ``Series`` object to new index with optional filling logic.
+    DataFrame.reindex : Conform ``DataFrame`` object to new index with optional filling
+        logic.
+
     Examples
     --------
     >>> s = pd.Series([0, 1, 2], index=["a", "b", "c"]).set_flags(