cirimus/super-emotion
收藏Hugging Face2025-01-30 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/cirimus/super-emotion
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资源简介：
Super Emotion数据集是一个大规模的情感分类数据集，包含519,812个样本，分为7种情感类别：喜悦、悲伤、愤怒、恐惧、爱、中性、惊讶。该数据集由多个公开数据集合并而成，支持单标签情感分类、多标签情感识别和语言模型微调等任务。数据集分为训练集、验证集和测试集，每种情感类别在不同来源的数据集中有详细的分布情况。
The Super Emotion Dataset is a large-scale emotion classification dataset containing 519,812 samples across 7 emotion categories: joy, sadness, anger, fear, love, neutral, and surprise. It is aggregated from multiple public datasets and supports tasks such as single-label emotion classification, multi-label emotion recognition, and fine-tuning of language models. The dataset is split into training, validation, and test sets, with detailed distribution of each emotion category across different source datasets.
提供机构：
cirimus
