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MBZUAI/
ViMUL-Bench

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	ViMUL-Bench: A Culturally-diverse Multilingual Multimodal Video Benchmark







	


	Overview

The evaluation toolkit to be used is lmms-eval. This toolkit facilitates the evaluation of models across multiple tasks and languages.

Key Features

🌍 14 Languages: English, Chinese, Spanish, French, German, Hindi, Arabic, Russian, Bengali, Urdu, Sinhala, Tamil, Swedish, Japanese🎭 15 Categories: Including 8 culturally diverse categories (lifestyles, festivals, foods… See the full description on the dataset page: https://huggingface.co/datasets/MBZUAI/ViMUL-Bench.