uzair921/QWEN_GUM_EMBEDDINGS_LLM_RAG_75_openai
收藏Hugging Face2025-02-10 更新2025-02-15 收录
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https://hf-mirror.com/datasets/uzair921/QWEN_GUM_EMBEDDINGS_LLM_RAG_75_openai
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资源简介：
这是一个包含文本 tokens 和对应的命名实体识别标签 ner_tags 的数据集。它包含了多种实体类别，如摘要、动物、事件、物体、组织、人物、地点、植物、数量、物质和时间等。数据集分为训练集、验证集和测试集，分别有1005、615和807个样本，适用于进行命名实体识别任务的模型训练和评估。
This dataset includes text tokens and their corresponding named entity recognition tags, ner_tags. It encompasses various entity types such as abstract, animal, event, object, organization, person, place, plant, quantity, substance, and time. The dataset is split into training, validation, and test sets with 1005, 615, and 807 samples respectively, suitable for model training and evaluation for named entity recognition tasks.
提供机构：
uzair921
