diff --git a/tensorflow/lite/python/lite.py b/tensorflow/lite/python/lite.py
index 25bdd2201c8..fc73f094549 100644
--- a/tensorflow/lite/python/lite.py
+++ b/tensorflow/lite/python/lite.py
@@ -308,8 +308,9 @@ class TFLiteConverterV2(TFLiteConverterBase):
       to apply when converting the model. E.g. `[Optimize.DEFAULT]`
     representative_dataset: A representative dataset that can be used to
       generate input and output samples for the model. The converter can use the
-      dataset to evaluate different optimizations. Note that this is a necessary
-      attribute since the conversion optimization depends upon it.
+      dataset to evaluate different optimizations. Note that this is an optional
+      attribute but it is necessary if INT8 is the only support builtin ops in
+      target ops.
     experimental_new_converter: Experimental flag, subject to change.
       Enables MLIR-based conversion instead of TOCO conversion.
     experimental_new_quantizer: Experimental flag, subject to change.