Emotion Dataset for Fine-tuning DistilBERT
收藏arXiv2025-09-30 收录
下载链接：
https://huggingface.co/bhadresh-savani/bert-base-uncased-emotion
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资源简介：
该数据集旨在对DistilBERT模型进行微调，以实现在文本中的情感识别任务，能够识别包括悲伤、愤怒、爱情、惊讶、快乐和恐惧等多种情感。此外，该数据集支持探索冲突的情感对，并已集成到遗传算法框架中，用于文本生成。其所承担的任务是文本情感识别。
This dataset is designed for fine-tuning the DistilBERT model to perform text-based emotion recognition tasks, which can identify multiple emotions including sadness, anger, love, surprise, happiness, and fear. Moreover, this dataset supports the exploration of conflicting emotion pairs and has been integrated into a genetic algorithm framework for text generation. Its core assigned task is text emotion recognition.
提供机构：
Hugging Face
