fix and simplify tests

tests/dataset_builders/pie/sciarg/test_sciarg.py

@@ -50,14 +50,31 @@
             "supports": 5789,
         },
         "spans": {"background_claim": 3291, "data": 4297, "own_claim": 6004},
-        "labeled_partitions": {"Abstract": 39, "H1": 340, "Title": 40},
     },
     "resolve_parts_of_same": {
         "relations": {"contradicts": 696, "semantically_same": 44, "supports": 5788},
         "spans": {"background_claim": 2752, "data": 4093, "own_claim": 5450},
-        "labeled_partitions": {"Abstract": 39, "H1": 340, "Title": 40},
     },
 }
+CONVERTED_LAYER_MAPPING = {
+    "default": {
+        "spans": "labeled_spans",
+        "relations": "binary_relations",
+    },
+    "resolve_parts_of_same": {
+        "spans": "labeled_multi_spans",
+        "relations": "binary_relations",
+    },
+}
+FULL_LABEL_COUNTS_CONVERTED = {
+    variant: {CONVERTED_LAYER_MAPPING[variant][ln]: value for ln, value in counts.items()}
+    for variant, counts in FULL_LABEL_COUNTS.items()
+}
+LABELED_PARTITION_COUNTS = {
+    "Abstract": 39,
+    "H1": 340,
+    "Title": 40,
+}
 
 
 def resolve_annotation(annotation: Annotation) -> Any:
@@ -265,30 +282,19 @@ def test_converted_datasets(converted_dataset, dataset_variant, target_document_
         assert split_sizes == SPLIT_SIZES
         if dataset_variant == "default":
             expected_document_type = TextDocumentWithLabeledSpansAndBinaryRelations
-            layer_name_mapping = {
-                "spans": "labeled_spans",
-                "relations": "binary_relations",
-            }
         elif dataset_variant == "resolve_parts_of_same":
             expected_document_type = TextDocumentWithLabeledMultiSpansAndBinaryRelations
-            layer_name_mapping = {
-                "spans": "labeled_multi_spans",
-                "relations": "binary_relations",
-            }
         else:
             raise ValueError(f"Unknown dataset variant: {dataset_variant}")
 
+        assert issubclass(converted_dataset.document_type, expected_document_type)
         assert isinstance(converted_dataset["train"][0], expected_document_type)
 
         if TEST_FULL_DATASET:
-            expected_label_counts = {
-                layer_name_mapping.get(ln, ln): value
-                for ln, value in FULL_LABEL_COUNTS[dataset_variant].items()
-            }
-            if not issubclass(target_document_type, TextDocumentWithLabeledPartitions):
-                expected_label_counts = {
-                    k: v for k, v in expected_label_counts.items() if k != "labeled_partitions"
-                }
+            # copy to avoid modifying the original dict
+            expected_label_counts = {**FULL_LABEL_COUNTS_CONVERTED[dataset_variant]}
+            if issubclass(target_document_type, TextDocumentWithLabeledPartitions):
+                expected_label_counts["labeled_partitions"] = LABELED_PARTITION_COUNTS
             assert_dataset_label_counts(converted_dataset, expected_label_counts)