自然语言处理（NLP）中的命名实体识别（NER）是一个重要的任务，用于识别文本中的命名实体。本站提供的 ner_dataset_repo 是一个收集了多种语言的NER数据集的仓库，旨在帮助研究人员和开发者进行NER相关的研究和开发。

数据集列表

English NER Dataset

The English NER Dataset is a comprehensive collection of English text annotated with named entities. It is suitable for training and evaluating NER models in English.

Chinese NER Dataset

The Chinese NER Dataset is a collection of Chinese text annotated with named entities. It covers a wide range of topics and is suitable for both research and practical applications.

Spanish NER Dataset

The Spanish NER Dataset is a set of Spanish text annotated with named entities. It is useful for developers and researchers working on Spanish language NER tasks.

如何使用数据集

  1. 访问 NER Dataset Repository 获取数据集。
  2. 下载所需数据集并解压。
  3. 使用标注工具对文本进行标注。
  4. 训练和评估NER模型。

相关资源

想要了解更多关于NER的信息，可以访问本站的 NER教程。

[center] NER Dataset