🇰🇿 Kazakh Information Extraction & Network Topology (KIENT)
📖 Overview
The KIENT dataset is a specialized corpus of 2,000 samples focused on extracting structured information from technical and organizational Kazakh texts. It is specifically designed for high-precision tasks like Named Entity Recognition (NER) and Relation Extraction (RE) within the context of Network Engineering and Corporate Infrastructure.
📊 Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/KZ-PSF-2-5-3-Dataset-final-gold.
