uzair921/QWEN_GUM_LLM_CONTEXT_75

这是一个用于命名实体识别的数据集，包含文本字符串和对应的实体标签。实体标签分为多种类型，如摘要、动物、事件、物体、组织、人物、地点、植物、数量、物质和时间等，并区分实体开始和延续。数据集分为训练集、验证集和测试集，示例总数超过千个。

This is a named entity recognition dataset containing text strings and corresponding entity tags. The entity tags are categorized into several types such as abstract, animal, event, object, organization, person, place, plant, quantity, substance, and time, with distinctions for the beginning and continuation of entities. The dataset is split into training, validation, and test sets, with a total of more than a thousand examples.