Add Zeroshot classification for Worldsense classification datatset

[deep9539]

• I have outlined why this dataset is filling an existing gap in mteb
• I have tested that the dataset runs with the mteb package.
• I have run the following models on the task (adding the results to the pr). These can be run using the mteb run -m {model_name} -t {task_name} command.
  • mteb/baseline-random encoder
  • facebook/pe-av-small-16-frame or another small model (Takes too long, maybe a day)
• I have checked that the performance is neither trivial (close to perfect scores) nor random.
• I have considered the size of the dataset and reduced it if it is too big (e.g. 2048 examples for binary classification)

	mteb/baseline-random encoder	facebook/pe-av-small-16-frame
** WorldSenseAudioVideoZeroShotClassification**	0.123209
** WorldSenseVideoZeroShotClassification**	0.106972

WorldSenseVideoZeroShotClassification x random encoder
WorldSenseAudioVideoZeroShotClassification x random encoder

[Samoed]

I missed a part that here missing a video of {name}. Discussion in #4537 (comment)