fix: Removed translate-embed integration test

KennethEnevoldsen · Feb 17, 2024 · adb9cd6 · adb9cd6
1 parent a2dd834
commit adb9cd6
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Showing 2 changed files with 4 additions and 2 deletions.
diff --git a/src/seb/cache/sentence-transformers__all-MiniLM-L6-v2/LCC.json b/src/seb/cache/sentence-transformers__all-MiniLM-L6-v2/LCC.json
@@ -1 +1 @@
-{"task_name":"LCC","task_description":"The leipzig corpora collection, annotated for sentiment","task_version":"1.1.1","time_of_run":"2024-02-15T10:59:42.112636","scores":{"da":{"accuracy":0.3846666666666666,"f1":0.3650136884557438,"accuracy_stderr":0.03664241622309678,"f1_stderr":0.03540233062350939,"main_score":0.3846666666666666}},"main_score":"accuracy"}
+{"task_name":"LCC","task_description":"The leipzig corpora collection, annotated for sentiment","task_version":"1.1.1","time_of_run":"2024-02-17T13:29:21.544827","scores":{"da":{"accuracy":0.3846666666666666,"f1":0.3650136884557438,"accuracy_stderr":0.03664241622309678,"f1_stderr":0.03540233062350939,"main_score":0.3846666666666666}},"main_score":"accuracy"}
diff --git a/tests/test_integration.py b/tests/test_integration.py
@@ -33,14 +33,16 @@ def evaluate(self, model: seb.Encoder) -> seb.TaskResult:
         def get_descriptive_stats(self) -> dict:
             return {}
 
+        def get_documents(self) -> list[str]:
+            return []
+
     return DummyTask()
 
 
 @pytest.mark.parametrize(
     "model",
     [
         "intfloat/e5-small",
-        "translate-e5-small",
     ],
 )
 def test_integration_dummy(model: str):
Original file line number	Diff line number	Diff line change
		@@ -1 +1 @@
		{"task_name":"LCC","task_description":"The leipzig corpora collection, annotated for sentiment","task_version":"1.1.1","time_of_run":"2024-02-15T10:59:42.112636","scores":{"da":{"accuracy":0.3846666666666666,"f1":0.3650136884557438,"accuracy_stderr":0.03664241622309678,"f1_stderr":0.03540233062350939,"main_score":0.3846666666666666}},"main_score":"accuracy"}
		{"task_name":"LCC","task_description":"The leipzig corpora collection, annotated for sentiment","task_version":"1.1.1","time_of_run":"2024-02-17T13:29:21.544827","scores":{"da":{"accuracy":0.3846666666666666,"f1":0.3650136884557438,"accuracy_stderr":0.03664241622309678,"f1_stderr":0.03540233062350939,"main_score":0.3846666666666666}},"main_score":"accuracy"}