uzair921/GPT4OMINI_GUM_LLM_CONTEXT_42_25
收藏Hugging Face2025-02-10 更新2025-02-15 收录
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https://hf-mirror.com/datasets/uzair921/GPT4OMINI_GUM_LLM_CONTEXT_42_25
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资源简介：
这是一个用于命名实体识别的数据集，包含两个主要特征：tokens（文本序列）和ner_tags（命名实体标签序列）。命名实体标签包括多个类别，如人名、组织名、地点等。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 is a dataset for named entity recognition, containing two main features: tokens (text sequences) and ner_tags (named entity tag sequences). The named entity tags include multiple categories such as person names, organization names, locations, etc. The dataset is split into training, validation, and test sets, containing 1005, 615, and 807 examples respectively.
提供机构：
uzair921
