uzair921/LLAMA_GUM_EMBEDDINGS_LLM_RAG_50_openai
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_EMBEDDINGS_LLM_RAG_50_openai
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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(文本序列)和ner_tags(命名实体标签序列)。实体标签包括抽象、动物、事件、物体、组织、人物、地点、植物、数量、物质和时间,每个实体都有B-和I-两种标签表示实体的开始和中间。数据集分为训练集、验证集和测试集,分别包含995、615和807个示例。
This is a dataset for named entity recognition, containing tokens (text sequences) and ner_tags (named entity tag sequences). Entity tags include abstract, animal, event, object, organization, person, place, plant, quantity, substance, and time, with each entity having B- and I- tags to indicate the beginning and middle of the entity. The dataset is divided into training, validation, and test sets, containing 995, 615, and 807 examples respectively.
提供机构:
uzair921



