NER dataset related to legal texts

The following data pertains to Named Entity Recognition for legal judgment documents related to the crime of assisting in information network crimes. The dataset consists of a total of 4,236 samples, including both training and validation data, with a total of 8 labels. The file train1.json contains the raw data in JSON format, which is not divided into training and validation sets. The ner_data folder contains processed data in .txt file format, with the dataset split into training and validation sets at a ratio of 5:1. This folder also includes all label names. Ultimately, the model is trained using the processed dataset.