uzair921/LLAMA7B_GUM_LLM_CONTEXT_25
收藏Hugging Face2025-02-11 更新2025-02-15 收录
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https://hf-mirror.com/datasets/uzair921/LLAMA7B_GUM_LLM_CONTEXT_25
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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（实体标签序列）。实体标签序列包括了多种实体类别，如人名、地点、组织、事件等，并分为B和I两个级别表示实体边界和内部。数据集分为训练集、验证集和测试集，分别包含869、615和807个示例。
This is a named entity recognition dataset containing tokens (text sequences) and ner_tags (entity label sequences). The entity label sequences include various entity types such as person names, locations, organizations, events, etc., divided into B and I levels to indicate entity boundaries and interiors. The dataset is split into training, validation, and test sets, containing 869, 615, and 807 examples respectively.
提供机构：
uzair921
