uzair921/gum_embeddings
收藏Hugging Face2025-02-10 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/uzair921/gum_embeddings
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资源简介：
这是一个包含文本序列和命名实体识别标签的数据集。数据集的特征包括文本序列（tokens）、命名实体标签（ner_tags）、上下文（context）和嵌入向量（embedding）。命名实体标签分为多个类别，如组织、人物、地点等，并有细粒度的B和I标签表示实体边界。数据集分为训练集、验证集和测试集，分别用于模型的训练、验证和测试。
This dataset contains text sequences and named entity recognition tags. The features of the dataset include text sequences (tokens), named entity tags (ner_tags), context, and embedding vectors. Named entity tags are divided into several categories such as organizations, individuals, locations, etc., with fine-grained B and I tags indicating entity boundaries. The dataset is split into training, validation, and test sets for model training, validation, and testing respectively.
提供机构：
uzair921
