Video reader artifacts

Pipe definition:

@pipeline_def
def video_pipe(filenames):
    side_size = 224
    crop_size = 224
    sequence_length = 32
    sampling_rate = 4
    random_shuffle = False
    device = 'gpu'

    video, labels = fn.readers.video_resize(
        device="gpu", filenames=filenames, labels=[], sequence_length=sequence_length, random_shuffle=random_shuffle,
        skip_vfr_check=True, size=(side_size, side_size), mode='not_smaller', name='Reader',
        dtype=types.FLOAT, normalized=True, stride=sampling_rate,
        pad_sequences=True
    )
    video = fn.crop(video, crop=(crop_size, crop_size),
                    crop_pos_x=0.5, crop_pos_y=0.5, device=device)

    return video, labels

I have a dataset of 5 tiktok videos. Whenever I iterate over this dataset I can notice different collisions and artifacts on frames. Moreover, sometimes frames one video appear in sequence of another video, for example frames from video with label 1 (house) appear in sequence with returned label 2 (video with a woman and clothes).

I have noticed, that this collisions happen only around video with label 2 (kjbelll_6987115080580107525.mp4). However if I pass to the pipe only this video everything works as expected.

I attach example of collisions and a dataset.

I pass the videos to the pipe in this exact order:

[
    'thepetcollective_6850180418818346246.mp4',
    'bigvarn_6925039213402426629.mp4',
    'kjbelll_6987115080580107525.mp4',
    'josemiguelsal_6840197131358194950.mp4',
    'tobyporterart_6838650165688028421.mp4'
]

tiktok_dataset.zip

What causes this behavior? Can you do something about it?
Is there a way to filter out videos that break everything?