Web-Scraped Nigerian Pidgin English Text Dataset from Digital News Platforms

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Authors: Everistus Ugochukwu Nwogo, Isibor Kennedy Ihianle, Pedro Machado, Jordan J. Bird, Ahmad Lotfi, Ahmad Abdulnasir Shuaib, ISAAC IBUKUN AKINWUMI, Oluranti Jonathan
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Abstract

This dataset consists of Nigerian Pidgin English text collected through web scraping of multiple Nigerian Pidgin news and media websites, capturing a wide range of contemporary topics, linguistic styles, and sociocultural expressions. The corpus was cleaned, normalised, and curated to ensure linguistic consistency and usability for downstream natural language processing tasks. It was used to fine-tune and evaluate quantised Large Language Models, enabling analysis of performance–efficiency trade-offs in low-resource deployment scenarios. The dataset supports research and development of robust Nigerian Pidgin English language models for multilingual NLP, low-resource language modelling, and culturally grounded AI applications. Please cite the associated paper when using this dataset: Paper citation

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Sentiment Analysis and Opinion Mining

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026
Document type
Dataset