BTMD (Bengali Trimodal Misinformation Dataset) is a large-scale, manually annotated multimodal dataset for Bengali (Bangla) fake news detection. It contains 6,058 carefully curated news instances spanning three modalities — text, image, and video — collected from diverse Bengali online sources.
The dataset supports both binary classification (Real vs. Fake) and fine-grained misinformation classification… See the full description on the dataset page: https://huggingface.co/datasets/Faysal4200/BTMD.
