Data Input JSON Format for Tensorflow Saved Model - json

Question

I'm new to tensorflow and I've served the saved model to Google AI Platform models. However, I am having issues with the format of sample input data. Can you please guide how should I format the data input based on the requested format below? Thanks in advance.
To request an online prediction, it is required to input data instances as a JSON object as follow.
{
"instances": [
<value>|<simple/nested list>|<object>,
...
]
}
below is part of the outputs from $saved_model_cli --dir path /home/.. --all
In summary, I have 12 data inputs as string values. How should I put together in the above request format so the model can return prediction? Thanks!
Defined Functions:
Function Name: '__call__'
Option #1
Callable with:
Argument #1
DType: list
Value: [TensorSpec(shape=(None, 3), dtype=tf.float32, name='a_xf'), TensorSpec(shape=(None, 2), dtype=tf.float32, name='b_xf'), TensorSpec(shape=(None, 8), dtype=tf.float32, name='c_xf'), TensorSpec(shape=(None, 12), dtype=tf.float32, name='d_xf'), TensorSpec(shape=(None, 4), dtype=tf.float32, name='e_xf'), TensorSpec(shape=(None, 16), dtype=tf.float32, name='f_xf'), TensorSpec(shape=(None, 26), dtype=tf.float32, name='g_xf'), TensorSpec(shape=(None, 4), dtype=tf.float32, name='h_xf'), TensorSpec(shape=(None, 2), dtype=tf.float32, name='i_xf'), TensorSpec(shape=(None, 11), dtype=tf.float32, name='j_xf'), TensorSpec(shape=(None, 6), dtype=tf.float32, name='k_xf'), TensorSpec(shape=(None, 2), dtype=tf.float32, name='l_xf')]
Argument #2
DType: bool
Value: False
Argument #3
DType: NoneType
Value: None