diff --git a/ivy/functional/ivy/data_type.py b/ivy/functional/ivy/data_type.py
index 4b074b58a3795..1d82c3151f106 100644
--- a/ivy/functional/ivy/data_type.py
+++ b/ivy/functional/ivy/data_type.py
@@ -1666,27 +1666,20 @@ def dtype(
 
     Examples
     --------
-    With :class:`ivy.Array` inputs:
-
-    >>> x1 = ivy.array([1.0, 2.0, 3.5, 4.5, 5, 6])
-    >>> y = ivy.dtype(x1)
-    >>> print(y)
-    float32
-
-    With :class:`ivy.NativeArray` inputs:
-
-    >>> x1 = ivy.native_array([1, 0, 1, -1, 0])
-    >>> y = ivy.dtype(x1)
-    >>> print(y)
-    int32
-
-    With :class:`ivy.Container` inputs:
-
-    >>> x = ivy.Container(a=ivy.native_array([1.0, 2.0, -1.0, 4.0, 1.0]),
-    ...                   b=ivy.native_array([1, 0, 0, 0, 1]))
-    >>> y = ivy.dtype(x.a)
-    >>> print(y)
-    float32
+    With :class:`ivy.Array` input:
+    >>> x = ivy.array([1, 2, 3], dtype="int32")
+    >>> ivy.dtype(x)
+    'int32'
+    With :class:`ivy.NativeArray` input:
+    >>> x = ivy.native_array([1, 2, 3], dtype="int32")
+    >>> ivy.dtype(x)
+    'int32'
+    With :class:`ivy.Container` input:
+    >>> c = ivy.Container(x=ivy.array([1, 2, 3], dtype="int32"))
+    >>> ivy.dtype(c)
+    {
+        x: 'int32'
+    }
     """
     return current_backend(x).dtype(x, as_native=as_native)
 
diff --git a/ivy/functional/ivy/set.py b/ivy/functional/ivy/set.py
index 5f9e92f400918..bea4f31e35b54 100644
--- a/ivy/functional/ivy/set.py
+++ b/ivy/functional/ivy/set.py
@@ -117,33 +117,32 @@ def unique_all(
 
     Examples
     --------
-    With :class:`ivy.Array` input:
+    With Class:`ivy.Array` input:
+    >>> x = ivy.array([1,2,1,3,4,1,3])
+    >>> y = ivy.unique_all(x)
+    >>> print(y)
+    Results(values=ivy.array([1, 2, 3, 4]),
+            indices=ivy.array([0, 1, 3, 4]),
+            inverse_indices=ivy.array([0, 1, 0, 2, 3, 0, 2]),
+            counts=ivy.array([3, 1, 2, 1]))
+    >>> x = ivy.array([0.2,0.3,0.4,0.2,1.4,2.3,0.2])
+    >>> y = ivy.unique_all(x)
+    >>> print(y)
+    Results(values=ivy.array([0.2       , 0.30000001, 0.40000001, 1.39999998,
+                            2.29999995]),
+            indices=ivy.array([0, 1, 2, 4, 5]),
+            inverse_indices=ivy.array([0, 1, 2, 0, 3, 4, 0]),
+            counts=ivy.array([3, 1, 1, 1, 1]))
 
-    >>> x = ivy.randint(0, 10, shape=(2, 2), seed=0)
-    >>> z = ivy.unique_all(x)
-    >>> print(z)
-    Results(values=ivy.array([1, 2, 5, 9]),
-            indices=ivy.array([3, 2, 1, 0]),
-            inverse_indices=ivy.array([[3, 2], [1, 0]]),
-           counts=ivy.array([1, 1, 1, 1]))
-
-    >>> x = ivy.array([[ 2.1141,  0.8101,  0.9298,  0.8460],
-    ...                       [-1.2119, -0.3519, -0.6252,  0.4033],
-    ...                       [ 0.7443,  0.2577, -0.3707, -0.0545],
-    ...                       [-0.3238,  0.5944,  0.0775, -0.4327]])
-    >>> x[range(4), range(4)] = ivy.nan #Introduce NaN values
-    >>> z = ivy.unique_all(x)
-    >>> print(z)
-    Results(values=ivy.array([-1.2119    , -0.62519997, -0.3238    , -0.0545    ,
-        0.0775    ,    0.2577    ,  0.40329999,  0.59439999,  0.74430001,  0.81010002,
-        0.84600002,  0.92979997,         nan,         nan,         nan,         nan]),
-        indices=ivy.array([ 4,  6, 12, 11, 14,  9,  7, 13,  8,  1,  3,  2,  0,  5,
-                            10, 15]),
-        inverse_indices=ivy.array([[12,  9, 11, 10],
-                                   [ 0, 12,  1,  6],
-                                   [ 8,  5, 12,  3],
-                                   [ 2,  7,  4, 12]]),
-       counts=ivy.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]))
+    With :class:`ivy.Container` input:
+    >>> x = ivy.Container(a=ivy.array([0., 1., 3. , 2. , 1. , 0.]),
+    ...                   b=ivy.array([1, 2, 1, 3, 4, 1, 3]))
+    >>> y = ivy.unique_all(x)
+    >>> print(y)
+    {
+        a: (list[2],<classivy.array.array.Array>shape=[4]),
+        b: (list[2],<classivy.array.array.Array>shape=[4])
+    }
     """
     return ivy.current_backend(x).unique_all(x, axis=axis, by_value=by_value)