MaRVL (Multicultural Reasoning over Vision and Language)
Introduced by Liu et al. in Visually Grounded Reasoning across Languages and Cultures
Multicultural Reasoning over Vision and Language (MaRVL) is a dataset based on an ImageNet-style hierarchy representative of many languages and cultures (Indonesian, Mandarin Chinese, Swahili, Tamil, and Turkish). The selection of both concepts and images is entirely driven by native speakers. Afterwards, we elicit statements from native speakers about pairs of images. The task consists in discriminating whether each grounded statement is true or false.
Benchmarks
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MaRVL
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CCLM-X2VLM-large
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MaRVL
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UC2
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MaRVL
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xUNITER
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Papers
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