flair/pilener_entropy_splits

这是一个用于命名实体识别的数据集，包含tokens（文本中的单词或词汇序列）、ner_tags（对应的命名实体识别标签序列）以及spans（命名实体的起始和结束位置及其标签）。数据集分为三个难度级别：简单、中等和困难，每个级别都有不同数量的示例。数据集的总大小为248,255,405字节。

This is a named entity recognition dataset containing tokens (sequences of words or terms in the text), ner_tags (corresponding named entity recognition label sequences), and spans (start and end positions and labels of named entities). The dataset is divided into three difficulty levels: easy, medium, and hard, each with a different number of examples. The total size of the dataset is 248,255,405 bytes.