Chinese Corpus for Fine-grained Entity Typing

本数据集名为‘中文细粒度实体打标语料库’，由香港科技大学和腾讯科技（深圳）有限公司合作创建。该数据集包含4800条通过众包方式手动标注的实体提及，每个提及均标注有自由形式的实体类型，并进一步分类为10种通用类型。数据集的创建过程涉及从多个来源收集实体提及，并通过众包和远监督方法进行标注。该数据集主要应用于中文细粒度实体打标任务，旨在解决现有数据集主要为英文的问题，提供更细致和全面的实体类型描述。

This dataset is named 'Chinese Fine-grained Entity Tagging Corpus', which was co-created by The Hong Kong University of Science and Technology and Tencent Technology (Shenzhen) Co., Ltd. It contains 4800 manually annotated entity mentions collected via crowdsourcing, where each mention is annotated with free-form entity types and further categorized into 10 general types. The dataset construction process involves collecting entity mentions from multiple sources, and performing annotation through both crowdsourcing and distant supervision methods. This dataset is mainly applied to Chinese fine-grained entity tagging tasks, aiming to address the issue that most existing datasets are primarily in English and provide more detailed and comprehensive entity type descriptions.