Amazigh Linguistic Dataset: Part-of-Speech Tagging, Named Entity Recognition, and Parallel Corpus (Tifinagh-English)

This dataset is a comprehensive linguistic resource for the Amazigh (Berber) language, focusing on three key components: Part-of-Speech (POS) tagging, Named Entity Recognition (NER), and a parallel corpus of Amazigh sentences in Tifinagh script with their English translations. The dataset is designed to support research in natural language processing (NLP), computational linguistics, and machine translation for the Amazigh language, which is historically underrepresented in digital and linguistic resources.