Unknown error appears when I use the UCF101 dataset. Perhaps some bug exists in the file extractor.py.

Short description
when I try to use the UCF101 dataset ，the program report something like this
tensorflow.python.framework.errors_impl.OutOfRangeError: E:\tfdsdata\datasets\ucf\downloads\thumos14_files_UCF101_videosxm55JXkGdBSDxwckqpN5c7GNr_LXm9dTyoJdpxR_aas.zip; Unknown error

Environment information

• Operating System: Win10

• Python version: 3.7(Conda)

• tensorflow-datasets/tfds-nightly version: tensorflow-datasets 3.2.1

• tensorflow/tf-nightly version: tensorflow-gpu 2.3.1

• Does the issue still exists with the last tfds-nightly package (pip install --upgrade tfds-nightly) ?
  yes

Reproduction instructions

mnist_train = tfds.load(name="ucf101", data_dir="E:\\tfdsdata\\datasets\\ucf")

or just reproduce the problem like this:

#something.zip refers to any zipFile
import tensorflow.compat.v2 as tf
with tf.io.gfile.GFile('E:\\tfdsdata\\datasets\\ucf\\downloads\\something.zip', 'r') as f_obj:
    z = zipfile.ZipFile(f_obj)

Link to logs

Expected behavior
I looked into the extractor.py file and fond the reason:
It seems that when zipfile.ZipFile() trys to unzip a file which is wrapped by tf.io.gfile.GFile, it throws an exception.

@contextlib.contextmanager
def _open_or_pass(path_or_fobj):
  if isinstance(path_or_fobj, six.string_types):
    with tf.io.gfile.GFile(path_or_fobj, 'rb') as f_obj:
      yield f_obj
  else:
    yield path_or_fobj

I manage to solve this problem by trying to not use the wrapped file. something like this:

...
def iter_zip(arch_f):
  """Iterate over zip archive."""
  with _open_or_pass(arch_f) as fobj:
    ########
    z = zipfile.ZipFile(fobj)#change this
    ########
    for member in z.infolist():
      extract_file = z.open(member)
      if member.is_dir():  # Filter directories  # pytype: disable=attribute-error
        continue
      path = _normpath(member.filename)
      if not path:
        continue
      yield [path, extract_file]

def iter_zip(arch_f):
  """Iterate over zip archive."""
  with _open_or_pass(arch_f) as fobj:
    ########
    z = zipfile.ZipFile(arch_f)
    ########
    for member in z.infolist():
      extract_file = z.open(member)
      if member.is_dir():  # Filter directories  # pytype: disable=attribute-error
        continue
      path = _normpath(member.filename)
      if not path:
        continue
      yield [path, extract_file]

Additional context
Add any other context about the problem here.

Start by reproducing the UCF101 load or standalone ZIP example on Windows, then inspect extractor.py and its iter_zip function, especially the interaction between tf.io.gfile.GFile and zipfile.ZipFile. Done means the reported ZIP extraction reproductions complete without the Unknown error.