DS4H-ICTU/yat-ner-dataset

该数据集支持**Yambeta（yat）**（一种在喀麦隆使用的低资源班图语）的命名实体识别（NER）任务。数据集来源于Yambeta圣经文本，并通过**基于词典的BIO标注流程**和Yambeta特定的WordPiece分词器进行了自动预标注。数据集包含PER（人物）、LOC（地点）、ORG（组织）三种实体类型，标注类型为银标（自动预标注）。数据集总共有7897个句子和250176个WordPiece分词。

This dataset supports Named Entity Recognition (NER) for **Yambeta (yat)**, a low-resource Bantu language spoken in Cameroon. The corpus is derived from Yambeta Bible text and **automatically pre-annotated** using a **gazetteer-driven BIO tagging pipeline** and a Yambeta-specific WordPiece tokenizer. The dataset includes three entity types: PER (person), LOC (location), and ORG (organization), with silver-standard (automatic pre-annotation) labels. The dataset contains 7897 sentences and 250176 WordPiece tokens.