diff --git a/src/datasets/features/features.py b/src/datasets/features/features.py
index 17b3d441960..169d590181f 100644
--- a/src/datasets/features/features.py
+++ b/src/datasets/features/features.py
@@ -117,6 +117,8 @@ def _arrow_to_datasets_dtype(arrow_type: pa.DataType) -> str:
         return "large_string"
     elif pyarrow.types.is_string_view(arrow_type):
         return "string_view"
+    elif pyarrow.types.is_fixed_size_binary(arrow_type):
+        return f"fixed_size_binary[{arrow_type.byte_width}]"
     elif pyarrow.types.is_dictionary(arrow_type):
         return _arrow_to_datasets_dtype(arrow_type.value_type)
     else:
@@ -266,6 +268,11 @@ def _dtype_error_msg(dtype, pa_dtype, examples=None, urls=None):
                     ],
                 )
             )
+        
+    fixed_size_binary_matches = re.search(r"^fixed_size_binary\[(\d+)\]$", datasets_dtype)
+    if fixed_size_binary_matches:
+        byte_width = fixed_size_binary_matches.group(1)
+        return pa.binary(int(byte_width))
 
     raise ValueError(
         f"Neither {datasets_dtype} nor {datasets_dtype + '_'} seems to be a pyarrow data type. "
diff --git a/tests/features/test_features.py b/tests/features/test_features.py
index fe23dee5402..3e70dc1e525 100644
--- a/tests/features/test_features.py
+++ b/tests/features/test_features.py
@@ -76,6 +76,7 @@ def test_string_to_arrow_bijection_for_primitive_types(self):
             pa.int32(),
             pa.float64(),
             pa.array([datetime.time(1, 1, 1)]).type,  # arrow type: DataType(time64[us])
+            pa.binary(16),
         ]
         for dt in supported_pyarrow_datatypes:
             self.assertEqual(dt, string_to_arrow(_arrow_to_datasets_dtype(dt)))