diff --git a/python/pyspark/sql/session.py b/python/pyspark/sql/session.py
index 0e367eeaf044c..0a19921f7286a 100644
--- a/python/pyspark/sql/session.py
+++ b/python/pyspark/sql/session.py
@@ -1299,7 +1299,7 @@ def createDataFrame(  # type: ignore[misc]
         ----------
         data : :class:`RDD` or iterable
             an RDD of any kind of SQL data representation (:class:`Row`,
-            :class:`tuple`, ``int``, ``boolean``, etc.), or :class:`list`,
+            :class:`tuple`, ``int``, ``boolean``, ``dict``, etc.), or :class:`list`,
             :class:`pandas.DataFrame` or :class:`numpy.ndarray`.
         schema : :class:`pyspark.sql.types.DataType`, str or list, optional
             a :class:`pyspark.sql.types.DataType` or a datatype string or a list of
diff --git a/python/pyspark/sql/tests/test_types.py b/python/pyspark/sql/tests/test_types.py
index e61725d471dd8..f3169eb28a728 100644
--- a/python/pyspark/sql/tests/test_types.py
+++ b/python/pyspark/sql/tests/test_types.py
@@ -23,6 +23,7 @@
 import pickle
 import sys
 import unittest
+from dataclasses import dataclass, asdict
 
 from pyspark.sql import Row
 from pyspark.sql import functions as F
@@ -412,6 +413,17 @@ def test_create_dataframe_from_dict_respects_schema(self):
         df = self.spark.createDataFrame([{"a": 1}], ["b"])
         self.assertEqual(df.columns, ["b"])
 
+    def test_create_dataframe_from_dataclasses(self):
+        @dataclass
+        class User:
+            name: str
+            age: int
+            is_active: bool
+
+        user = User(name="John", age=30, is_active=True)
+        r = self.spark.createDataFrame([user]).first()
+        self.assertEqual(asdict(user), r.asDict())
+
     def test_negative_decimal(self):
         try:
             self.spark.sql("set spark.sql.legacy.allowNegativeScaleOfDecimal=true")