title: I cannot convert my pandas dataframe to a tensorflow dataset - Get a Value Error
body: <p>My data source - <a href="https://www.kaggle.com/vbookshelf/respiratory-sound-database" rel="nofollow noreferrer">https://www.kaggle.com/vbookshelf/respiratory-sound-database</a>
  Tensroflow version - 2.4.0</p>
  <p>After a bit of Data Cleaning my pandas Dataframe looked like this:
  <a href="https://i.stack.imgur.com/UZpW8.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/UZpW8.png" alt="enter image description here" /></a></p>
  <p>My objective is to make Deep Learning Model for a Classification task, so I read the audio files with scipy.io wavefile and put the array as a feature in the data frame.
  <a href="https://i.stack.imgur.com/7sUYe.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/7sUYe.png" alt="enter image description here" /></a></p>
  <p>All the values of the audio have a shape of (882000,)</p>
  <p>My problem is that I want to convert my Pandas Dataframe into a Tensorflow Dataset.
  I get this error: ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type NumPy.ndarray).</p>
  <p>I tried using tf.convert_to_tensor and still get the same error. What should I do?</p>