dinhanhx/crossmodal-3600

Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset Abstract Research in massively multilingual image captioning has been severely hampered by a lack of high-quality evaluation datasets. In this paper we present the Crossmodal-3600 dataset (XM3600 in short), a geographically-diverse set of 3600 images annotated with human-generated reference captions in 36 languages. The images were selected from across the world, covering regions where the 36… See the full description on the dataset page: https://huggingface.co/datasets/dinhanhx/crossmodal-3600.

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