diff --git a/docs/source/en/preprocessing.mdx b/docs/source/en/preprocessing.mdx
index 947129b34aa..6e2e9bd7521 100644
--- a/docs/source/en/preprocessing.mdx
+++ b/docs/source/en/preprocessing.mdx
@@ -158,14 +158,17 @@ Set the `return_tensors` parameter to either `pt` for PyTorch, or `tf` for Tenso
 ...     "Don't think he knows about second breakfast, Pip.",
 ...     "What about elevensies?",
 ... ]
->>> encoded_input = tokenizer(batch, padding=True, truncation=True, return_tensors="pt")
+>>> encoded_input = tokenizer(batch_sentences, padding=True, truncation=True, return_tensors="pt")
 >>> print(encoded_input)
-{'input_ids': tensor([[  101,   153,  7719, 21490,  1122,  1114,  9582,  1623,   102],
-                      [  101,  5226,  1122,  9649,  1199,  2610,  1236,   102,     0]]), 
- 'token_type_ids': tensor([[0, 0, 0, 0, 0, 0, 0, 0, 0],
-                           [0, 0, 0, 0, 0, 0, 0, 0, 0]]), 
- 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1],
-                           [1, 1, 1, 1, 1, 1, 1, 1, 0]])}
+{'input_ids': tensor([[101, 1252, 1184, 1164, 1248, 6462, 136, 102, 0, 0, 0, 0, 0, 0, 0],
+                      [101, 1790, 112, 189, 1341, 1119, 3520, 1164, 1248, 6462, 117, 21902, 1643, 119, 102],
+                      [101, 1327, 1164, 5450, 23434, 136, 102, 0, 0, 0, 0, 0, 0, 0, 0]]), 
+ 'token_type_ids': tensor([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                           [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                           [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]), 
+ 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0],
+                           [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
+                           [1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0]])}
 ```
 </pt>
 <tf>
@@ -178,15 +181,18 @@ Set the `return_tensors` parameter to either `pt` for PyTorch, or `tf` for Tenso
 >>> encoded_input = tokenizer(batch_sentences, padding=True, truncation=True, return_tensors="tf")
 >>> print(encoded_input)
 {'input_ids': <tf.Tensor: shape=(2, 9), dtype=int32, numpy=
-array([[  101,   153,  7719, 21490,  1122,  1114,  9582,  1623,   102],
-       [  101,  5226,  1122,  9649,  1199,  2610,  1236,   102,     0]],
+array([[101, 1252, 1184, 1164, 1248, 6462, 136, 102, 0, 0, 0, 0, 0, 0, 0],
+       [101, 1790, 112, 189, 1341, 1119, 3520, 1164, 1248, 6462, 117, 21902, 1643, 119, 102],
+       [101, 1327, 1164, 5450, 23434, 136, 102, 0, 0, 0, 0, 0, 0, 0, 0]],
       dtype=int32)>, 
  'token_type_ids': <tf.Tensor: shape=(2, 9), dtype=int32, numpy=
-array([[0, 0, 0, 0, 0, 0, 0, 0, 0],
-       [0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=int32)>, 
+array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+       [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+       [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=int32)>, 
  'attention_mask': <tf.Tensor: shape=(2, 9), dtype=int32, numpy=
-array([[1, 1, 1, 1, 1, 1, 1, 1, 1],
-       [1, 1, 1, 1, 1, 1, 1, 1, 0]], dtype=int32)>}
+array([[1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0],
+       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
+       [1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=int32)>}
 ```
 </tf>
 </frameworkcontent>