diff --git a/tests/unit/core/test_dataset.py b/tests/unit/core/test_dataset.py
index 00f1df45..b946158a 100644
--- a/tests/unit/core/test_dataset.py
+++ b/tests/unit/core/test_dataset.py
@@ -434,22 +434,37 @@ def test_dataset_with_taskmodule(
         assert not document["entities"].predictions
 
 
-def test_pie_dataset_from_documents(documents):
-    assert len(documents) == 8
-    assert all(isinstance(doc, TextBasedDocument) for doc in documents)
+@pytest.mark.parametrize("as_iterable_dataset", [False, True])
+def test_pie_dataset_from_documents(documents, as_iterable_dataset):
+    if as_iterable_dataset:
+        dataset_class = IterableDataset
+    else:
+        dataset_class = Dataset
 
-    dataset_from_documents = Dataset.from_documents(documents)
+    dataset_from_documents = dataset_class.from_documents(documents)
 
-    assert isinstance(dataset_from_documents, Dataset)
+    assert isinstance(dataset_from_documents, dataset_class)
 
-    assert len(dataset_from_documents) == 8
     assert all(isinstance(doc, TextBasedDocument) for doc in dataset_from_documents)
     assert all(doc1.id == doc2.id for doc1, doc2 in zip(documents, dataset_from_documents))
-
     assert hasattr(dataset_from_documents, "document_type")
 
+    # Test dataset creation with document converter
+    dataset_from_documents_with_converter = dataset_class.from_documents(
+        documents, document_converters={TestDocumentWithLabel: convert_to_document_with_label}
+    )
+
+    assert isinstance(dataset_from_documents_with_converter, dataset_class)
+
+    assert len(dataset_from_documents_with_converter.document_converters) == 1
+    assert TestDocumentWithLabel in dataset_from_documents_with_converter.document_converters
+    assert (
+        dataset_from_documents_with_converter.document_converters[TestDocumentWithLabel]
+        == convert_to_document_with_label
+    )
+
     # Test dataset creation with empty list
     empty_doc_list = list[Document]()
     with pytest.raises(ValueError) as excinfo:
-        Dataset.from_documents(empty_doc_list)
+        dataset_class.from_documents(empty_doc_list)
     assert str(excinfo.value) == "No documents to create dataset from"