uzair921/LLAMA_GUM_LLM_CONTEXT_75
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_LLM_CONTEXT_75
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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 和 ner_tags 两种特征。tokens 是文本中的单词或词汇序列，而 ner_tags 是对应的命名实体标签序列，包括 O（非实体）、B- 和 I- 开头的多种实体类型，如 abstract、animal、event 等。数据集分为训练集、验证集和测试集，分别包含1002、615和807个示例。
This is a dataset for named entity recognition, which includes two features: tokens and ner_tags. Tokens are sequences of words or vocabulary in the text, while ner_tags are corresponding named entity label sequences, including O (non-entity) and various entity types starting with B- and I-, such as abstract, animal, event, etc. The dataset is divided into training set, validation set, and test set, containing 1002, 615, and 807 examples respectively.
提供机构：
uzair921
