diff --git a/spacy/pipeline/spancat.py b/spacy/pipeline/spancat.py
index 4cdaf3d83..052bd2874 100644
--- a/spacy/pipeline/spancat.py
+++ b/spacy/pipeline/spancat.py
@@ -398,7 +398,9 @@ class SpanCategorizer(TrainablePipe):
         pass
 
     def _get_aligned_spans(self, eg: Example):
-        return eg.get_aligned_spans_y2x(eg.reference.spans.get(self.key, []), allow_overlap=True)
+        return eg.get_aligned_spans_y2x(
+            eg.reference.spans.get(self.key, []), allow_overlap=True
+        )
 
     def _make_span_group(
         self, doc: Doc, indices: Ints2d, scores: Floats2d, labels: List[str]
diff --git a/spacy/tests/pipeline/test_spancat.py b/spacy/tests/pipeline/test_spancat.py
index 3da5816ab..7b759f8f6 100644
--- a/spacy/tests/pipeline/test_spancat.py
+++ b/spacy/tests/pipeline/test_spancat.py
@@ -85,7 +85,12 @@ def test_doc_gc():
     spancat = nlp.add_pipe("spancat", config={"spans_key": SPAN_KEY})
     spancat.add_label("PERSON")
     nlp.initialize()
-    texts = ["Just a sentence.", "I like London and Berlin", "I like Berlin", "I eat ham."]
+    texts = [
+        "Just a sentence.",
+        "I like London and Berlin",
+        "I like Berlin",
+        "I eat ham.",
+    ]
     all_spans = [doc.spans for doc in nlp.pipe(texts)]
     for text, spangroups in zip(texts, all_spans):
         assert isinstance(spangroups, SpanGroups)
@@ -338,7 +343,11 @@ def test_overfitting_IO_overlapping():
     assert len(spans) == 3
     assert len(spans.attrs["scores"]) == 3
     assert min(spans.attrs["scores"]) > 0.9
-    assert set([span.text for span in spans]) == {"London", "Berlin", "London and Berlin"}
+    assert set([span.text for span in spans]) == {
+        "London",
+        "Berlin",
+        "London and Berlin",
+    }
     assert set([span.label_ for span in spans]) == {"LOC", "DOUBLE_LOC"}
 
     # Also test the results are still the same after IO
@@ -350,5 +359,9 @@ def test_overfitting_IO_overlapping():
         assert len(spans2) == 3
         assert len(spans2.attrs["scores"]) == 3
         assert min(spans2.attrs["scores"]) > 0.9
-        assert set([span.text for span in spans2]) == {"London", "Berlin", "London and Berlin"}
+        assert set([span.text for span in spans2]) == {
+            "London",
+            "Berlin",
+            "London and Berlin",
+        }
         assert set([span.label_ for span in spans2]) == {"LOC", "DOUBLE_LOC"}