extraordinarylab/harvey-ner

这是一个用于自然语言处理任务的数据集，特别是命名实体识别（NER）。它包含三个部分：训练集、验证集和测试集。数据集中的每个示例都由文本单元（tokens）和对应的命名实体标签（ner_tags）组成。该数据集适用于训练和评估命名实体识别模型，能够识别如地区（AREA）、地点（POINT）、河流（RIVER）和道路（ROAD）等实体。

This is a dataset for natural language processing tasks, particularly Named Entity Recognition (NER). It consists of three parts: training set, validation set, and test set. Each example in the dataset comprises text tokens and corresponding named entity tags. The dataset is suitable for training and evaluating NER models, capable of recognizing entities such as regions (AREA), locations (POINT), rivers (RIVER), and roads (ROAD).