BanglaMUSE-VID: A Bangla Video-Based Sentiment Analysis Dataset

The repository contains 1,000 manually curated Bangla sentences with balanced sentiment labels (500 positive and 500 negative) and 5,000 corresponding face-visible MP4 video recordings captured by five native Bangla speakers using different smartphone devices.

The dataset comprises both textual and video modalities, enabling research in multimodal sentiment analysis, visual speech recognition, cross-modal representation learning, and video-grounded language understanding for low-resource Bangla NLP applications. The repository is openly accessible and designed for future extensibility through the inclusion of additional speakers, sentiment categories, and domain-specific content.