code: def load_tfds(*args, **kw):
      """Load from TFDS."""
      # Materialize to NumPy arrays.
      # This also ensures compatibility with TF1.x non-eager mode, which doesn't
      # support direct iteration over a tf.data.Dataset.
      return list(
          tfds.as_numpy(
              tfds.load(*args, download=True, try_gcs=True, **kw)
          )
      )
  
imports: from typing import Optional
  from absl import logging
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  import pandas
  import tensorflow_datasets
label_desc: Use image node_id 1 for calling a global function with example usage: load_tfds() and returns: list