CIPS Chinese Named Entity Recognition Dataset

The CIPS Chinese Named Entity Recognition (NER) Dataset is a collection of Chinese text data used to develop and evaluate computer systems that identify specific entities, such as organizations, locations, or people's names, within text. It serves as a standardized resource for training algorithms to accurately recognize and categorize these entities, advancing natural language processing capabilities for Chinese language applications. The dataset helps improve technology like search engines, translation tools, and information extraction systems.