diff --git a/libs/labelbox/src/labelbox/data/annotation_types/classification/classification.py b/libs/labelbox/src/labelbox/data/annotation_types/classification/classification.py
index d6a6448dd..a749c212c 100644
--- a/libs/labelbox/src/labelbox/data/annotation_types/classification/classification.py
+++ b/libs/labelbox/src/labelbox/data/annotation_types/classification/classification.py
@@ -52,6 +52,7 @@ class Text(ConfidenceMixin, CustomMetricsMixin, BaseModel):
     """
 
     answer: str
+    classifications: Optional[List["ClassificationAnnotation"]] = None
 
 
 class ClassificationAnnotation(
diff --git a/libs/labelbox/src/labelbox/data/serialization/ndjson/classification.py b/libs/labelbox/src/labelbox/data/serialization/ndjson/classification.py
index fedf4d91b..49177bba2 100644
--- a/libs/labelbox/src/labelbox/data/serialization/ndjson/classification.py
+++ b/libs/labelbox/src/labelbox/data/serialization/ndjson/classification.py
@@ -86,6 +86,12 @@ def to_common(self) -> Text:
             answer=self.answer,
             confidence=self.confidence,
             custom_metrics=self.custom_metrics,
+            classifications=[
+                NDSubclassification.to_common(annot)
+                for annot in self.classifications
+            ]
+            if self.classifications
+            else None,
         )
 
     @classmethod
@@ -98,6 +104,12 @@ def from_common(
             schema_id=feature_schema_id,
             confidence=text.confidence,
             custom_metrics=text.custom_metrics,
+            classifications=[
+                NDSubclassification.from_common(annot)
+                for annot in text.classifications
+            ]
+            if text.classifications
+            else None,
         )
 
 
@@ -245,6 +257,12 @@ def from_common(
             message_id=message_id,
             confidence=text.confidence,
             custom_metrics=text.custom_metrics,
+            classifications=[
+                NDSubclassification.from_common(annot)
+                for annot in text.classifications
+            ]
+            if text.classifications
+            else None,
         )