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The MC-LLaVA Multi-Concept Personalization dataset is a high-quality collection designed to advance multi-concept personalization research. It gathers images featuring multiple characters from various movies and manually generates multi-concept question‑answer samples. With diverse movie genres and QA types, the dataset aims to enable vision‑language models to excel in multi-concept personalization tasks.
