uzair921/GPT4OMINI_GUM_LLM_RAG_42_25_MiniLM
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_RAG_42_25_MiniLM
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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，包含了 tokens（文本序列）和 ner_tags（命名实体标签序列）。NER标签分为多个类别，包括人名、地点、组织、事件等，并有细粒度的标签区分如B（实体开始）和I（实体中间）。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 task of Named Entity Recognition (NER), containing tokens (text sequences) and ner_tags (named entity label sequences). NER labels are categorized into several types, including person names, locations, organizations, events, etc., with fine-grained labels such as B (beginning of entity) and I (middle of entity). The dataset is split into training, validation, and test sets, containing 1005, 615, and 807 examples respectively.
提供机构：
uzair921
