What are the biggest challenges you face when sourcing high-quality, domain-specific datasets for training and evaluating AI models?

AI practitioners report that sourcing high-quality, domain-specific datasets remains a major hurdle, particularly for multimodal, multilingual, and human-annotated data, according to a query posed to industry experts. The primary challenges include ensuring reliability for production AI and establishing clear criteria for dataset quality.