MadvaAparna/KannadaVibhaktiSamples

这是一个用于卡纳达语命名实体识别（NER）任务的语料库。每个实例代表一个带有特定后缀的语法案例，共有96个句子，每个句子都包含至少一个经过词尾变化的命名实体。数据集包括人（PER）、地点（LOC）和组织（ORG）三种类型的实体，并对人名实体提供了跨越多个词的例子。这个数据集可以用来分析特定后缀的存在如何影响模型对命名实体的预测。

This is a dataset for Named Entity Recognition (NER) task in Kannada language. Each instance represents a grammatical case with a specific suffix, totaling 96 sentences, each containing at least one named entity with inflected suffix. The dataset includes entities of type Person (PER), Location (LOC), and Organization (ORG), and provides examples of names spanning multiple words. This dataset can be used to analyze how the presence of case-specific suffixes affects entity prediction by the model.