diff --git a/src/datasets/iterable_dataset.py b/src/datasets/iterable_dataset.py
index a3b09561218..b1df83dfcf1 100644
--- a/src/datasets/iterable_dataset.py
+++ b/src/datasets/iterable_dataset.py
@@ -293,7 +293,7 @@ def wrapper(**kwargs):
 
 
 @dataclass
-class ShuffingConfig:
+class ShufflingConfig:
     seed: Optional[int] = None
 
 
@@ -306,7 +306,7 @@ def __init__(
         info: Optional[DatasetInfo] = None,
         split: Optional[NamedSplit] = None,
         format_type: Optional[str] = None,
-        shuffling: Optional[ShuffingConfig] = None,
+        shuffling: Optional[ShufflingConfig] = None,
     ):
         info = info.copy() if info is not None else DatasetInfo()
         DatasetInfoMixin.__init__(self, info=info, split=split)
@@ -425,7 +425,7 @@ def shuffle(self, buffer_size, seed=None) -> "IterableDataset":
             buffer_size (:obj:`int`): size of the buffer.
             seed (:obj:`int`, optional, default None): random seed that will be used to create the distribution.
         """
-        shuffling = ShuffingConfig(seed=seed)
+        shuffling = ShufflingConfig(seed=seed)
         return iterable_dataset(
             ex_iterable=BufferShuffledExamplesIterable(self._ex_iterable, buffer_size, seed=seed).shuffle_data_sources(
                 seed=seed
@@ -477,7 +477,7 @@ def iterable_dataset(
     info: Optional[DatasetInfo] = None,
     split: Optional[NamedSplit] = None,
     format_type: Optional[str] = None,
-    shuffling: Optional[ShuffingConfig] = None,
+    shuffling: Optional[ShufflingConfig] = None,
 ):
     if format_type is not None and format_type == "torch":
         import torch
diff --git a/tests/test_iterable_dataset.py b/tests/test_iterable_dataset.py
index 14fe1147c4c..ee149b58ae1 100644
--- a/tests/test_iterable_dataset.py
+++ b/tests/test_iterable_dataset.py
@@ -13,7 +13,7 @@
     IterableDataset,
     MappedExamplesIterable,
     RandomlyCyclingMultiSourcesExamplesIterable,
-    ShuffingConfig,
+    ShufflingConfig,
     SkipExamplesIterable,
     TakeExamplesIterable,
     _batch_to_examples,
@@ -296,7 +296,7 @@ def test_iterable_dataset_shuffle(dataset: IterableDataset, generate_examples_fn
     buffer_size = 3
     dataset._ex_iterable.kwargs["filepaths"] = ["0.txt", "1.txt"]
     dataset = dataset.shuffle(buffer_size, seed=seed)
-    assert isinstance(dataset._shuffling, ShuffingConfig)
+    assert isinstance(dataset._shuffling, ShufflingConfig)
     assert dataset._shuffling.seed == seed
     # Effective seed is sum of seed and epoch
     if epoch is None: