TensorFlow Error: dictionary update sequence element #0 has length 6; 2 is required

I am new to Python and machine learning. I am getting an error whenever I run the following code:

def make_input_fn(data_df, label_df, num_epochs=10, shuffle=True, batch_size=32):
  def input_function():  
    ds = tf.data.Dataset.from_tensor_slices((dict(data_df), label_df))  
    if shuffle:
      ds = ds.shuffle(1000)  
    ds = ds.batch(batch_size).repeat(num_epochs) 
    return ds  
  return input_function  


train_input_fn = make_input_fn(train, y_train)  
eval_input_fn = make_input_fn(X_test, y_test, num_epochs=1, shuffle=False)

linear_est = tf.estimator.LinearClassifier(feature_columns=feature_columns)

linear_est.train(train_input_fn) 
result = linear_est.evaluate(eval_input_fn) 

clear_output() 
print(result['accuracy']) 

Error:

ValueError                                Traceback (most recent call last)
input-38-47fb35491976> in ()
----> 1 linear_est.train(train_input_fn)
      2 result = linear_est.evaluate(eval_input_fn)
      3 
      4 clear_output()
      5 print(result['accuracy'])

5 frames
 in input_function()
      1 def make_input_fn(X_train, y_train, num_epochs=10, shuffle=True, batch_size=32):
      2   def input_function():
----> 3     ds = tf.data.Dataset.from_tensor_slices((dict(X_train), y_train))
      4     if shuffle:
      5       ds = ds.shuffle(1000)

ValueError: dictionary update sequence element #0 has length 6; 2 is required

I am not sure if the issue would be related to my data or data types. My data has no blanks.