Emo Pillars is a synthetic 400K-utterance, 28-class emotion dataset generated by Mistral-7B from narrative plots; fine-tuned RoBERTa/BERT models achieve SOTA or competitive F1 on GoEmotions, ISEAR, IEMOCAP, and EmoContext.
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Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion Classification
Emo Pillars is a synthetic 400K-utterance, 28-class emotion dataset generated by Mistral-7B from narrative plots; fine-tuned RoBERTa/BERT models achieve SOTA or competitive F1 on GoEmotions, ISEAR, IEMOCAP, and EmoContext.