This dataset contains 13,970 synthetic text samples labeled across 7 emotion classes:
Anger
Happiness
Sad
Surprise
Hate
Love
Fun
The data was generated using Mistral-7B, producing diverse and realistic short-to-medium length emotional expressions.It is suitable for benchmarking NLP models such as RNNs, BERT-based models, and LLMs in multi-class emotion detection.