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.本数据集针对涉及帮助信息网络犯罪活动罪的司法裁判文书，提供命名实体识别（Named Entity Recognition, NER）相关标注数据。数据集总计包含4236条样本，涵盖训练与验证数据，共设置8个标签。文件train1.json存储了未划分训练集与验证集的原始JSON格式数据。ner_data文件夹内存放处理完成的TXT格式数据集，该数据集已按照5:1的比例划分为训练集与验证集，且该文件夹同时包含全部标签名称。最终将基于该处理后的数据集开展模型训练。