diff --git a/semantic_router/utils/splitters.py b/semantic_router/utils/splitters.py
index 10b957086cadb562aaf72151e893b033d75d442d..7521aa3878cbbbd757cfa567843384db772da2cc 100644
--- a/semantic_router/utils/splitters.py
+++ b/semantic_router/utils/splitters.py
@@ -71,12 +71,12 @@ def semantic_splitter(
                 curr_split_docs_embed = encoder([curr_split_docs])[0]
                 next_doc_embed = encoder([next_doc])[0]
 
-                similarity = np.dot(curr_split_docs_embed, next_doc_embed) / (
+                curr_sim_score = np.dot(curr_split_docs_embed, next_doc_embed) / (
                     np.linalg.norm(curr_split_docs_embed)
                     * np.linalg.norm(next_doc_embed)
                 )
 
-                if similarity < threshold:
+                if curr_sim_score < threshold:
                     splits.append(
                         DocumentSplit(
                             docs=docs[curr_split_start_idx : idx + 1],
diff --git a/tests/unit/test_splitters.py b/tests/unit/test_splitters.py
index ac9c037c7985bbce54144de4c6e4e7096162dc19..f0e8e3f32734f988e2d54a878c26f7f5f1994228 100644
--- a/tests/unit/test_splitters.py
+++ b/tests/unit/test_splitters.py
@@ -17,7 +17,8 @@ def test_semantic_splitter_consecutive_similarity_drop():
 
     result = semantic_splitter(mock_encoder, docs, threshold, split_method)
 
-    assert result == {"split 1": ["doc1", "doc2", "doc3"], "split 2": ["doc4", "doc5"]}
+    assert result[0].docs == ["doc1", "doc2", "doc3"]
+    assert result[1].docs == ["doc4", "doc5"]
 
 
 def test_semantic_splitter_cumulative_similarity_drop():
@@ -33,7 +34,8 @@ def test_semantic_splitter_cumulative_similarity_drop():
 
     result = semantic_splitter(mock_encoder, docs, threshold, split_method)
 
-    assert result == {"split 1": ["doc1", "doc2"], "split 2": ["doc3", "doc4", "doc5"]}
+    assert result[0].docs == ["doc1", "doc2"]
+    assert result[1].docs == ["doc3", "doc4", "doc5"]
 
 
 def test_semantic_splitter_invalid_method():
@@ -62,7 +64,5 @@ def test_split_by_topic():
         encoder=mock_encoder, threshold=0.5, split_method="consecutive_similarity_drop"
     )
 
-    assert result == {
-        "split 1": ["User: What is the latest news?"],
-        "split 2": ["Bot: How is the weather today?"],
-    }
+    assert result[0].docs == ["User: What is the latest news?"]
+    assert result[1].docs == ["Bot: How is the weather today?"]