vantigeai/ModernBERT-Biz-Trinary-Classifier-Fine_tuning

这是一个用于商业文本分类的微调数据集，旨在训练ModernBERT-Biz-Trinary-Classifier模型。数据集包括三种类型的文本分类：直接商业行为、间接商业智能和非商业相关。它由社交媒体帖子、新闻文章、财务报告、论坛讨论和其他一般性文本组成，确保了在商业分类方面的稳健性能。

This is a fine-tuning dataset for business text classification, designed for training the ModernBERT-Biz-Trinary-Classifier model. The dataset includes three types of text classification: direct business action, indirect business intelligence, and not business relevant. It consists of social media posts, news articles, financial reports, forum discussions, and other general texts, ensuring robust performance in business classification.