ANEC: An Amharic Named Entity Corpus

ANEC是一个专为Amharic语言设计的命名实体识别数据集，由伊斯坦布尔技术大学的研究团队创建。该数据集包含8,070个句子，总计182,691个标记，涵盖了人名、地名和组织名等实体类型。数据集的构建遵循IOB2标注标准，通过人工标注确保高质量的实体识别。ANEC数据集的应用领域包括Amharic语言的自然语言处理和机器学习研究，旨在解决该语言在实体识别方面的挑战，推动相关技术的发展。

ANEC is a named entity recognition (NER) dataset specifically designed for the Amharic language, created by a research team from Istanbul Technical University. This dataset contains 8,070 sentences and a total of 182,691 tokens, covering entity types such as personal names, geographical locations, organizational names and others. The dataset is constructed following the IOB2 annotation standard, with high-quality entity recognition ensured through manual annotation. Application fields of the ANEC dataset include natural language processing and machine learning research for the Amharic language, aiming to address the challenges in entity recognition for this language and promote the development of related technologies.