uzair921/QWEN7B_GUM_LLM_CONTEXT_BASELINE
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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（词序列）和ner_tags（命名实体标签序列）。NER标签分为多个类别，如人名、地点、组织、事件等，并使用B-和I-前缀区分实体边界和内部。数据集分为训练集、验证集和测试集，共包含2414个示例。
This is a named entity recognition dataset containing tokens (token sequences) and ner_tags (named entity tag sequences). NER tags are categorized into several types such as person names, locations, organizations, events, etc., with B- and I- prefixes to distinguish between entity boundaries and interiors. The dataset is split into training, validation, and test sets, totaling 2,414 examples.
提供机构：
uzair921
