uzair921/GPT4OMINI_GUM_LLM_RAG_42_75_MiniLM
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_RAG_42_75_MiniLM
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资源简介：
这是一个用于命名实体识别的数据集，包含了tokens（文本序列）和ner_tags（实体标签）。实体标签涵盖了人名、组织名、地点、事件、物体、植物、动物、时间、数量和物质等类别。数据集分为训练集、验证集和测试集，示例总数为2427。
This is a dataset for named entity recognition, which includes tokens (text sequences) and ner_tags (entity labels). The entity labels cover categories such as person names, organization names, locations, events, objects, plants, animals, times, quantities, and substances. The dataset is divided into training, validation, and test sets, with a total of 2,427 examples.
提供机构：
uzair921
