Advancements in emotion aware language processing increasingly shape vital NLP applications.ELSA Emotion and Language Style Alignment Dataset (ELSA Dataset) is introduced to bridge the gap between emotional granularity and style diversity.The dataset comprises emotionally nuanced variations of original sentences regenerated across different contextual styles.The dataset's emotional authenticity, linguistic fluency, and textual diversity are validated through rigorous computational evaluation.