A comprehensive dataset for fine-grained emotion classification containing 79,595 sentences labeled with 20 distinct emotions.
This dataset is designed for training emotion classification models that can detect nuanced emotional states in text. Unlike basic sentiment analysis (positive/negative/neutral), this dataset provides fine-grained emotion labels that better capture the complexity of human emotions.… See the full description on the dataset page:
https://huggingface.co/datasets/guruprasath017/emotion-dataset-20-emotions.
