NLP Toolkit

ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition

Published in 2025

Named Entity Recognition Low Resource Language Bangla Language Regional Dialects Natural Language Processing

ANCHOLIK-NER, a Bangla Regional Named Entity Recognition dataset focusing on the Sylhet, Chittagong, Barishal, Mymensingh, and Noakhali dialects. It comprises 17,405 sentences, evenly distributed across the five regions, with entities categorized into 10 types. The raw sentences were collected from two publicly available datasets and through web scraping from various online newspapers, articles.

Size: 579 KB; 17,405 sentences; 90,755 samples