diff --git a/tests/test_table.py b/tests/test_table.py
index 9ee0c08a..0d56f55b 100644
--- a/tests/test_table.py
+++ b/tests/test_table.py
@@ -1143,7 +1143,7 @@ def test_load(tmpdir):
         os.remove(f"{path_no_ext}.{ext}")
 
 
-def test_load_broken_csv(tmpdir):
+class TestLoadBrokenCsv:
     r"""Test loading of malformed csv files.
 
     If csv files contain a lot of special characters,
@@ -1153,49 +1153,67 @@ def test_load_broken_csv(tmpdir):
 
     See https://github.com/audeering/audformat/issues/449
 
-    Args:
-        tmpdir: tmpdir ficture
-
     """
-    build_dir = audeer.mkdir(tmpdir, "build")
-
-    # Create database with hidden columns
-    # that are stored in csv,
-    # but not in the header of the table.
-    #
-    # Ensure:
-    #
-    # * it contains an empty table
-    # * the columns use schemes with time and date data types
-    # * at least one column has no scheme
-    #
-    # as those cases needed special care with csv files,
-    # before switching to use pyarrow.csv.read_csv()
-    # in https://github.com/audeering/audformat/pull/419
-    #
-    db = audformat.Database("mydb")
-    db.schemes["date"] = audformat.Scheme("date")
-    db.schemes["time"] = audformat.Scheme("time")
-    db["table"] = audformat.Table(audformat.filewise_index("file.wav"))
-    db["table"]["date"] = audformat.Column(scheme_id="date")
-    db["table"]["date"].set([pd.to_datetime("2018-10-26")])
-    db["table"]["time"] = audformat.Column(scheme_id="time")
-    db["table"]["time"].set([pd.Timedelta(1)])
-    db["table"]["no-scheme"] = audformat.Column()
-    db["table"]["no-scheme"].set(["label"])
-    db["empty-table"] = audformat.Table(audformat.filewise_index())
-    db["empty-table"]["column"] = audformat.Column()
-    # Add a hidden column to the table dataframes,
-    # without adding it to the table header
-    db["table"].df["hidden"] = ["hidden"]
-    db["empty-table"].df["hidden"] = []
-
-    db.save(build_dir, storage_format="csv")
-    db_loaded = audformat.Database.load(build_dir, load_data=True)
-    assert "table" in db_loaded
-    assert "empty-table" in db_loaded
-    assert "hidden" not in db_loaded["table"].df
-    assert "hidden-column" not in db_loaded["empty-table"].df
+
+    def database_with_hidden_columns(self) -> audformat.Database:
+        r"""Database with hidden columns.
+
+        Create database with hidden columns
+        that are stored in csv,
+        but not in the header of the table.
+
+        Ensure:
+
+        * it contains an empty table
+        * the columns use schemes with time and date data types
+        * at least one column has no scheme
+
+        as those cases needed special care with csv files,
+        before switching to use pyarrow.csv.read_csv()
+        in https://github.com/audeering/audformat/pull/419.
+
+        Returns:
+            database
+
+        """
+        db = audformat.Database("mydb")
+        db.schemes["date"] = audformat.Scheme("date")
+        db.schemes["time"] = audformat.Scheme("time")
+        db["table"] = audformat.Table(audformat.filewise_index("file.wav"))
+        db["table"]["date"] = audformat.Column(scheme_id="date")
+        db["table"]["date"].set([pd.to_datetime("2018-10-26")])
+        db["table"]["time"] = audformat.Column(scheme_id="time")
+        db["table"]["time"].set([pd.Timedelta(1)])
+        db["table"]["no-scheme"] = audformat.Column()
+        db["table"]["no-scheme"].set(["label"])
+        db["empty-table"] = audformat.Table(audformat.filewise_index())
+        db["empty-table"]["column"] = audformat.Column()
+        # Add a hidden column to the table dataframes,
+        # without adding it to the table header
+        db["table"].df["hidden"] = ["hidden"]
+        db["empty-table"].df["hidden"] = []
+        return db
+
+    def test_load_broken_csv(self, tmpdir):
+        r"""Test loading a database table from broken csv files.
+
+        Broken csv files
+        refer to csv tables,
+        that raise an error
+        when loading with ``pyarrow.csv.read_csv()``.
+
+        Args:
+            tmpdir: tmpdir fixture
+
+        """
+        db = self.database_with_hidden_columns()
+        build_dir = audeer.mkdir(tmpdir, "build")
+        db.save(build_dir, storage_format="csv")
+        db_loaded = audformat.Database.load(build_dir, load_data=True)
+        assert "table" in db_loaded
+        assert "empty-table" in db_loaded
+        assert "hidden" not in db_loaded["table"].df
+        assert "hidden-column" not in db_loaded["empty-table"].df
 
 
 def test_load_old_pickle(tmpdir):