tanaos/synthetic-intent-classifier-dataset-v1

Tanaos意图分类训练数据集是一个由Tanaos使用Artifex Python库合成的数据集，设计用于训练和评估意图分类系统。该数据集包含12个类别的文本样本标签，包括问候、告别、感谢、肯定、否定、闲聊、询问机器人功能、正面反馈、负面反馈、请求澄清、提出建议和请求语言更改。该数据集适用于训练、微调和评估在对话AI系统中执行意图分类的模型，常见用例包括聊天机器人、虚拟助手和客户支持系统。

The Tanaos Intent Classifier Training Dataset is a synthetically created dataset by Tanaos using the Artifex Python library, designed to train and evaluate intent classification systems. The dataset contains text samples labeled with 12 categories, including greeting, farewell, thank you, affirmation, negation, small talk, bot capabilities, positive feedback, negative feedback, clarification, suggestion, and language change. This dataset is suitable for training, fine-tuning, and evaluating models that perform intent classification in conversational AI systems, common use cases include chatbots, virtual assistants, and customer support systems.