| # ModernBERT-Biz-Trinary-Classifier-Fine_tuning - Fine-Tuning Dataset for Business Text Classification | |
| ## 📌 Overview | |
| This dataset was used to fine-tune **ModernBERT-Biz-Trinary-Classifier**, a model that classifies text as: | |
| - **Business_Action_Direct**: Clearly business-related (financial reports, funding rounds, revenue impact). | |
| - **Business_Intelligence_Indirect**: Business-adjacent (economic trends, regulatory changes, potential business insights). | |
| - **Not_Business_Relevant**: No meaningful business context. | |
| The dataset includes a diverse mix of **social media posts, news articles, financial reports, forum discussions, and general text**, ensuring **robust business classification performance**. | |
| ## 📊 Dataset Statistics | |
| | Total Samples | `83070` | | |
| ## 🛠 Features | |
| - **text** (string): The raw input text. | |
| - **Business_Action_Direct** (0/1): Whether the text contains direct business action. | |
| - **Business_Intelligence_Indirect** (0/1): Whether the text contains indirect business intelligence. | |
| - **Not_Business_Relevant** (0/1): Whether the text is not related to business. | |
| ## 🏗 Dataset Card | |
| - **Author**: [Your Name / Organization] | |
| - **License**: Apache 2.0 | |
| - **Tags**: `business-classification`, `text-classification`, `dataset`, `financial-analysis` | |