Inconsistent Alignment: Discrepancy Between Language Description and Observations

I ran the visualization examples from the code lab with the dataset `utaustin_mutex`. However, the GIF image I got is different from the language description. For example, I use the following code to extract the observations and the corresponding language instruction from the first episode of `utaustin_mutex`:

```
import tensorflow_datasets as tfds
from PIL import Image
from IPython import display
from tqdm import tqdm

def dataset2path(dataset_name):
if dataset_name == 'robo_net':
version = '1.0.0'
elif dataset_name == 'language_table':
version = '0.0.1'
else:
version = '0.1.0'
# return f'gs://gresearch/robotics/{dataset_name}/{version}'
return f'~/tensorflow_datasets/{dataset_name}/{version}'

def as_gif(images, path='temp.gif'):
# Render the images as the gif:
# images[0].save(path, save_all=True, append_images=images[1:], duration=1000, loop=0)
images[0].save(path, save_all=True, append_images=images[1:], duration=100, loop=0)
gif_bytes = open(path, 'rb').read()
return gif_bytes

_full_dataset = ['utaustin_mutex']

display_key = 'image'

for dataset in tqdm(sorted(_full_dataset), desc="processing dataset"):
dataset_name = dataset
b = tfds.builder_from_directory(builder_dir=dataset2path(dataset))
ds = b.as_dataset(split='train[:1]').shuffle(1) # take only first 10 episodes
episode = next(iter(ds))
images = [step['observation'][display_key] for step in episode['steps']]
images = [Image.fromarray(image.numpy()) for image in images]
display.Image(as_gif(images))

step = next(iter(episode['steps']))
language_instruction = step['language_instruction']
language_instruction = language_instruction.numpy().decode("utf-8")
print(language_instruction)

```

Then, I got the language description as
```
Kindly spot and seek the red cup placed ahead of you.
Cautiously adjust your gripper towards the red cup, gripping it gently.
Find the after-storage area of the caddy.
Relocate the red cup in your grip over the rear portion and softly release it into the compartment.
```
However, in the GIF image, there is only blue cup instead of red one. Is there something wrong with this dataset? Or this problem is related to the visualization code?