diff --git a/app/tests/model/test_data.py b/app/tests/model/test_data.py
new file mode 100644
index 0000000..63bbb17
--- /dev/null
+++ b/app/tests/model/test_data.py
@@ -0,0 +1,24 @@
+import pytest
+from datasets import load_dataset
+from great_expectations.data_context import DataContext
+from great_expectations.dataset import PandasDataset
+
+DATASET_NAME = "GonzaloA/fake_news"
+
+@pytest.fixture(scope="session")
+def huggingface_dataset():
+    dataset = load_dataset(DATASET_NAME, split="train")
+    df = dataset.to_pandas()
+    ge_dataset = PandasDataset(df)
+    return ge_dataset
+
+def test_huggingface_dataset_with_great_expectations(huggingface_dataset):
+    assert huggingface_dataset.shape[0] == 24353
+
+    assert huggingface_dataset.expect_column_values_to_not_be_null(column="label")["success"]
+    assert huggingface_dataset.expect_column_values_to_not_be_null(column="title")["success"]
+    assert huggingface_dataset.expect_column_values_to_not_be_null(column="text")["success"]
+
+    assert huggingface_dataset.expect_column_values_to_be_unique(column="text")["success"]
+
+    assert huggingface_dataset.expect_column_values_to_be_in_set("label", [1, 0])["success"]