uzair921/SKILLSPAN_embeddings_text

这是一个用于命名实体识别的数据集，包含四个特征：tokens（文本序列）、ner_tags（命名实体标签）、context（上下文信息）和embedding（嵌入表示）。数据集分为训练集、验证集和测试集，共包含超过7900万个字节，分为三个配置，分别对应不同的数据文件路径。

This is a named entity recognition dataset with four features: tokens (text sequence), ner_tags (named entity tags), context (contextual information), and embedding (embedded representation). The dataset is split into training, validation, and test sets, totaling over 79 million bytes, and is divided into three configurations, each corresponding to different data file paths.