Fixes the failing test test_is_split_into_words in test_pipelines_token_classification.py (#39079)

* Fix test pipelines token classification for is_split_into_words

* Fix incorrect import format

Author: st81

tests/pipelines/test_pipelines_token_classification.py

@@ -328,8 +328,10 @@ def test_is_split_into_words(self):
         self.assertEqual(
             nested_simplify(output),
             [
-                {"entity_group": "PER", "score": ANY(float), "word": "Sarah", "start": 6, "end": 11},
-                {"entity_group": "LOC", "score": ANY(float), "word": "New York", "start": 21, "end": 29},
+                [
+                    {"entity_group": "PER", "score": ANY(float), "word": "Sarah", "start": 6, "end": 11},
+                    {"entity_group": "LOC", "score": ANY(float), "word": "New York", "start": 21, "end": 29},
+                ]
             ],
         )
 
@@ -349,8 +351,8 @@ def test_is_split_into_words(self):
                     {"entity_group": "LOC", "score": ANY(float), "word": "New York", "start": 21, "end": 29},
                 ],
                 [
-                    {"entity_group": "PER", "score": ANY(float), "word": "Wolfgang", "start": 12, "end": 20},
-                    {"entity_group": "LOC", "score": ANY(float), "word": "Berlin", "start": 36, "end": 42},
+                    {"entity_group": "PER", "score": ANY(float), "word": "Wolfgang", "start": 11, "end": 19},
+                    {"entity_group": "LOC", "score": ANY(float), "word": "Berlin", "start": 34, "end": 40},
                 ],
             ],
         )