This dataset contains text-emotion annotations designed for training AI models to understand and predict emotional states of NPCs (Non-Player Characters) in video games. Each text entry is annotated with valence and arousal scores based on Russell's Circumplex Model of Affect.
The dataset is specifically optimized for gaming applications where NPCs need to interpret player inputs and respond with appropriate emotional reactions.… See the full description on the dataset page: https://huggingface.co/datasets/Mavdol/NPC-Valence-Arousal.
