joyspace-ai/ELSA-Emotion-and-Language-Style-Alignment-Dataset

ELSA（情感与语言风格对齐）数据集提供了四种风格（对话、正式、诗意、叙述）下的细粒度情感重写文本。该数据集旨在支持情感调节生成、风格变化和情感感知自然语言处理的研究。数据集基于dair-ai/emotion数据集，并使用GoEmotions分类法对情感标签进行了对齐，包含六种主要情感及其映射的约19种细粒度情感。每个句子都通过LLM驱动的转换在四种语境风格中进行了扩展，共有10,434个样本。

The ELSA (Emotion and Language Style Alignment) dataset provides fine-grained emotional rewrites of text across four stylistic contexts: conversational, formal, poetic, and narrative. It is designed to support research in emotion-conditioned generation, stylistic variation, and affect-aware NLP. The dataset is based on the dair-ai/emotion dataset and emotion labels aligned with the GoEmotions taxonomy, including six primary emotions mapped to approximately 19 fine-grained emotions. Each sentence is augmented across four contextual styles using LLM-driven transformations, with a total of 10,434 samples.