diff --git a/src/instructlab/sdg/filterblock.py b/src/instructlab/sdg/filterblock.py
index e6d4eb24..794a4071 100644
--- a/src/instructlab/sdg/filterblock.py
+++ b/src/instructlab/sdg/filterblock.py
@@ -20,13 +20,20 @@ def __init__(
         self.convert_dtype = convert_dtype
         self.num_procs = batch_kwargs.get("num_procs", 1)
 
+    def _convert_dtype(self, sample):
+        try:
+            sample[self.column_name] = self.convert_dtype(sample[self.column_name])
+        except ValueError as e:
+            logger.error(
+                "Error converting dtype: %s, filling with None to be filtered later", e
+            )
+            sample[self.column_name] = None
+        return sample
+
     def generate(self, samples) -> Dataset:
         if self.convert_dtype:
             samples = samples.map(
-                lambda x: {
-                    **x,
-                    self.column_name: self.convert_dtype(x[self.column_name]),
-                },
+                self._convert_dtype,
                 num_proc=self.num_procs,
             )
 
diff --git a/tests/test_filterblock.py b/tests/test_filterblock.py
new file mode 100644
index 00000000..9ee47c65
--- /dev/null
+++ b/tests/test_filterblock.py
@@ -0,0 +1,31 @@
+# Standard
+from unittest.mock import patch
+import operator
+import unittest
+
+# Third Party
+from datasets import Dataset, Features, Value
+
+# First Party
+from instructlab.sdg.filterblock import FilterByValueBlock
+
+
+class TestFilterByValueBlock(unittest.TestCase):
+    def setUp(self):
+        self.block = FilterByValueBlock(
+            filter_column="age",
+            filter_value=30,
+            operation=operator.eq,
+            convert_dtype=int,
+        )
+        self.dataset = Dataset.from_dict(
+            {"age": ["25", "30", "35", "forty", "45"]},
+            features=Features({"age": Value("string")}),
+        )
+
+    @patch("instructlab.sdg.filterblock.logger")
+    def test_generate_mixed_types(self, mock_logger):
+        filtered_dataset = self.block.generate(self.dataset)
+        self.assertEqual(len(filtered_dataset), 1)
+        self.assertEqual(filtered_dataset["age"], [30])
+        mock_logger.error.assert_called()