Discrete emotion norms for 1,122 English words: A database of categorical ratings by Chinese-English bilinguals

This repository provides a comprehensive database of discrete emotion norms for 1,122 English words rated by 525 Chinese–English bilinguals. Participants provided intensity-based ratings across five basic emotions (happiness, anger, fear, disgust, and sadness) using a five-point Likert scale. The dataset demonstrates high reliability and shows significant correlations with affective dimensions (valence and arousal), emotion prototypicality and key psycholinguistic variables. By offering fine-grained evaluations, this publicly available resource serves as a valuable methodological tool for selecting rigorously controlled stimuli in research on L2 emotional representations.