--- a
+++ b/test/features/test_relative_distance.py
@@ -0,0 +1,58 @@
+# Base Dependencies
+# ----------------
+import pytest
+import numpy as np
+
+# Local Dependencies
+# ------------------
+from features.relative_distance_feature import RelativeDistanceFeature
+from models import RelationCollection, Entity, Relation
+
+
+# Tests
+# ------
+def test_relative_distance_init():
+    rd = RelativeDistanceFeature()
+    assert isinstance(rd, RelativeDistanceFeature)
+
+
+def test_relative_distance_get_feature_names():
+    rd = RelativeDistanceFeature()
+    assert len(rd.get_feature_names()) == 2
+
+
+def test_relative_distance_compute_dimensions(n2c2_small_collection, NLP):
+    RelationCollection.set_nlp(NLP)
+    Relation.set_nlp(NLP)
+    Entity.set_nlp(NLP)
+
+    rd = RelativeDistanceFeature()
+
+    e1_distances, e2_distances = rd.relative_distance(n2c2_small_collection)
+
+    assert len(e1_distances) == len(n2c2_small_collection)
+    assert len(e1_distances) == len(e2_distances)
+
+    for e1_rd, e2_rd, tokens in zip(
+        e1_distances, e2_distances, n2c2_small_collection.tokens
+    ):  
+        
+        assert len(e1_rd) == len(tokens)
+        assert len(e2_rd) == len(tokens)
+
+
+def test_relative_distance_compute_values(NLP, relation):
+    RelationCollection.set_nlp(NLP)
+    Relation.set_nlp(NLP)
+    Entity.set_nlp(NLP)
+
+    rd = RelativeDistanceFeature()
+    
+    one_collection = RelationCollection(relation)
+    e1_distances, e2_distances = rd.relative_distance(one_collection)
+    e1_distance = e1_distances[0]
+    e2_distance = e2_distances[0]
+
+    assert len(e1_distance) == len(e2_distance)
+    assert e1_distance == [-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7]
+    assert e2_distance == [-6, -5, -4, -3, -2, -1, 0, 0, 1, 2, 3]