ner dataset and code

The datasets and code used in this study are publicly available.Datasets:The datasets used in this study have been divided into training, testing, and validation sets.Code:This code repository includes Python scripts that replicate the experimental setup described in the paper. The code is organized into the following modules:Data Preprocessing: This module contains code for loading, cleaning, and transforming the datasets.Model Training: This module includes code for training various named entity recognition models using pre-trained language models. The code also includes implementations of the ablation experiments and data augmentation techniques described in the paper.Evaluation: This module contains code for evaluating the performance of the trained models on the held-out data sets.The data and code are provided to facilitate reproducibility and further research on named entity recognition in the Chinese language.