Pahari-NER

This dataset represents the first annotated Named Entity Recognition (NER) dataset developed for the Pahari language, created to support research in low-resource natural language processing and linguistic analysis. The corpus contains manually annotated text in which each token is labeled with its corresponding named entity category, such as person, location, organization, and other relevant entities, following standard sequence labeling conventions. The dataset has been prepared in a structured, machine-readable format suitable for training and evaluating computational models including traditional machine learning and deep learning approaches. It is intended to facilitate the development of NER systems, promote reproducible research, and contribute to the advancement of language technology resources for the Pahari language.