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Real_Fake_and_Not_News: A Three-Class Bangla Text Classification Dataset

Domaine:

natural language processing

Type de record:

dataset
Créateur:
SozShaTan
Éditeur:
Zenodo
Hôte:avatar
Real_Fake_and_Not_News is a large, balanced Bangla-language corpus designed for three-class text classification. It combines verified real news, fake news, and general Bangla sentences into a single, unified dataset—enabling classification models to learn both news authenticity and the boundary between news-like and non-news text. The dataset is intended for researchers working on fake news detection, Bangla natural language processing (NLP), and text classification for low-resource languages.

Visit

doi.orgzenodo.org

Tasks

text classification

Languages

Samba Leko

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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