--- a
+++ b/tests/pipelines/ner/test_adicap.py
@@ -0,0 +1,51 @@
+from edsnlp.utils.examples import parse_example
+
+d1v1 = "ABCD"
+d1v2 = "BFEZ"
+d2v1 = "0123"
+d2v2 = "A1B3"
+d2v3 = "ABC3"
+d2v4 = "A990"
+d2v5 = "A9AZ"
+d2v6 = "0A12"
+
+examples = [
+    f"""1. Codification ADICAP : <ent text={d1v1 + d2v1}>{d1v1 + d2v1}</ent>.
+    Une autre chose""",
+    rf"""2. Codification ADICAP : <ent text={d1v1 + d2v2}>{d1v1 + d2v2}</ent>,\s
+    <ent text={d1v1 + d2v3}>{d1v1 + d2v3}</ent>. Une autre chose""",
+    f"""3. adicap : <ent text={d1v2 + d2v3}>{d1v2 + d2v3}</ent>,
+    <ent text={d1v1 + d2v4}>{d1v1 + d2v4}</ent>. Une autre chose""",
+    f"""4. Codification  : <ent text={d1v1 + d2v6}>{d1v1 + d2v6}</ent>.
+    J'aime edsnlp. : {d1v2 + d2v3}.  Une autre chose""",
+    f"""5. J'aime edsnlp. : {d1v2 + d2v5}.  Une autre chose""",
+]
+
+
+def test_scores(blank_nlp):
+    if blank_nlp.lang == "eds":
+        blank_nlp.add_pipe("eds.adicap")
+
+        for example in examples:
+            text, expected_entities = parse_example(example=example)
+
+            doc = blank_nlp(text)
+
+            for expected, ent in zip(expected_entities, doc.ents):
+                assert text[expected.start_char : expected.end_char] == ent.text
+                assert expected.modifiers[0].value == ent._.adicap.code
+                assert len(ent._.adicap.model_dump()) > 0
+
+
+def test_local_spelling(blank_nlp):
+    blank_nlp.add_pipe("eds.adicap")
+    txt = "Codification ADICAP : B.H.HP.A7A0 . Autre chose"
+    assert blank_nlp(txt).ents[0]._.adicap.model_dump() == {
+        "behaviour_type": "CANCER INVASIF",
+        "code": "BHHPA7A0",
+        "organ": "PROSTATE",
+        "pathology": "PATHOLOGIE TUMORALE",
+        "pathology_type": "ADENOCARCINOME INVASIF (SAI)",
+        "sampling_mode": "BIOPSIE CHIRURGICALE",
+        "technic": "HISTOLOGIE ET CYTOLOGIE PAR INCLUSION",
+    }