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A Dataset for Multimodal Question Answering in the Cultural Heritage Domain Strong Shingle Van GoolMarieFrancine MoensDepartment of Computer ScienceDepartment of Electrical EngineeringDepartment of
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A dataset for multimodal is a collection of data that includes multiple modes of information such as text, images, audio, and video.
Any individual or organization that collects, processes, or shares multimodal data is required to file a dataset for multimodal.
To fill out a dataset for multimodal, one must provide detailed information about the data sources, processing methods, and any relevant metadata.
The purpose of a dataset for multimodal is to facilitate research, development, and evaluation of multimodal machine learning models and applications.
Information such as data sources, data types, pre-processing techniques, and any associated labels or annotations must be reported on a dataset for multimodal.
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