kms-engineer/assistant-bot-ner-dataset

这是一个用于训练命名实体识别（NER）模型的数据集，能够从自然语言文本中提取联系人信息。它包含超过2185个注释示例，并支持多种实体类型，包括人名、电话号码、电子邮件地址、完整街道地址、生日、联系人标签、注释文本和联系人/注释标识符。数据集使用IOB2标签格式，并具有完整的地址识别功能。它适用于联系人管理、地址提取、联系人信息解析、个人助理机器人和具有自然语言界面的客户关系管理系统。

This is a dataset for training Named Entity Recognition (NER) models to extract contact information from natural language text. It contains over 2,185 annotated examples and supports multiple entity types including person names, phone numbers, email addresses, full street addresses, birthdays, contact tags, note texts, and contact/note identifiers. The dataset uses the IOB2 tagging format and features full address recognition. It is suitable for contact management, address extraction, contact information parsing, personal assistant bots, and CRM systems with a natural language interface.