NotImplementedError: While importing/Loading tfds plant_leaves dataset

/!\ PLEASE INCLUDE THE FULL STACKTRACE AND CODE SNIPPET

Short description
tfds plant_leaves is not getting loaded successfully. It's throwing NotImplementedError. Tried on May 16, 2024

Environment information

• Operating System: Windows 11

• Python version: 3.10.12

• tensorflow-datasets/tfds-nightly version: 4.9.4

• tensorflow/tf-nightly version: version: 2.15.0

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

Reproduction instructions

import tensorflow_datasets as tfds
plant_leaves = tfds.load('plant_leaves', split='train', shuffle_files=True)

Gives:

Downloading and preparing dataset 6.56 GiB (download: 6.56 GiB, generated: 6.81 GiB, total: 13.37 GiB) to /root/tensorflow_datasets/plant_leaves/0.1.1...
Dl Completed...: 100%
 1/1 [10:04<00:00, 604.39s/ url]
Dl Size...: 100%
 6718/6718 [10:04<00:00, 11.25 MiB/s]
Dataset plant_leaves downloaded and prepared to /root/tensorflow_datasets/plant_leaves/0.1.1. Subsequent calls will reuse this data.
---------------------------------------------------------------------------
NotImplementedError                       Traceback (most recent call last)
[<ipython-input-3-d88d46497437>](https://localhost:8080/#) in <cell line: 2>()
      1 import tensorflow_datasets as tfds
----> 2 plant_leaves = tfds.load('plant_leaves', split='train', shuffle_files=True)

33 frames
[/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/file_adapters.py](https://localhost:8080/#) in make_tf_data(cls, filename, buffer_size)
    206   ) -> tf.data.Dataset:
    207     """Returns TensorFlow Dataset comprising given array record file."""
--> 208     raise NotImplementedError(
    209         '`.as_dataset()` not implemented for ArrayRecord files. Please, use'
    210         ' `.as_data_source()`.'

NotImplementedError: `.as_dataset()` not implemented for ArrayRecord files. Please, use `.as_data_source()`.

Expected behavior
To load dataset successfully.