behavioral modeling; emotional quadrants; fuzzy logic; persuasive language; NLP verbs; affective computing; quadrant dominance; BEET model; urgency detection; value-driven design

This dataset presents a curated collection of 9,000 English verbs annotated with normalized fuzzy values across four cognitive-behavioral quadrants of the BEET-M (Behavior Engagement Emotion Trigger Modes) model: Value & Credibility (NW), Relationship & Human Impact (NE), Process & Information (SE), and Time Urgency (SW).