uzair921/LLAMA_GUM_LLM_CONTEXT_50
收藏Hugging Face2025-02-11 更新2025-02-15 收录
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https://hf-mirror.com/datasets/uzair921/LLAMA_GUM_LLM_CONTEXT_50
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资源简介：
这是一个用于命名实体识别的数据集，包含 tokens 和 ner_tags 两种特征。tokens 是文本的字符串序列，而 ner_tags 是对应的实体标签序列，包括抽象、动物、事件、物体、组织、人物、地点、植物、数量、物质和时间等类别的实体。数据集分为训练集、验证集和测试集，分别包含999、615和807个示例。
This is a named entity recognition dataset containing two features: tokens and ner_tags. Tokens are sequences of text strings, while ner_tags are corresponding entity label sequences, including entities such as abstraction, animal, event, object, organization, person, place, plant, quantity, substance, and time. The dataset is divided into training, validation, and test sets, containing 999, 615, and 807 examples respectively.
提供机构：
uzair921
