uzair921/GPT4OMINI_GUM_LLM_CONTEXT_42_75
收藏Hugging Face2025-02-10 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/uzair921/GPT4OMINI_GUM_LLM_CONTEXT_42_75
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资源简介：
该数据集是一个用于命名实体识别的任务的数据集，包含 tokens 和 ner_tags 两种特征。tokens 是文本中的单词或词汇序列，而 ner_tags 是与 tokens 对应的命名实体标签序列，标签类型包括人名、组织名、地名等。数据集分为训练集、验证集和测试集，分别包含1005、615和807个示例。
This dataset is for the named entity recognition task, containing two features: tokens and ner_tags. Tokens are sequences of words or terms in the text, while ner_tags are corresponding named entity label sequences, including label types such as person names, organization names, and place names. The dataset is divided into training, validation, and test sets, containing 1005, 615, and 807 examples respectively.
提供机构：
uzair921
