BanGBook: A Multimodal Bengali Book Dataset for Genre Classification
Year: 2026
Type: dataset
Abstract: BanGBook-2501 is a publicly available multimodal Bengali book dataset developed for automatic book genre classification. The dataset contains 2,501 Bengali books categorized into six genres: Adventure, Horror, Mystery, Religious, Romance, and Thriller. Each record includes three complementary modalities: the book title, plot summary, and cover image, enabling research in multimodal machine learning, natural language processing, computer vision, and information retrieval. The textual metadata were collected from publicly available Bengali online bookstores, while the corresponding book cover images were obtained from the respective product pages. The dataset was cleaned by removing duplicate records, validating Unicode text, and ensuring image integrity. It contains no missing textual information and includes cover images for all books. This dataset was developed to support reproducible research on Bengali book genre classification and serves as the benchmark dataset used in the accompanying research paper: "BanGBook: A Multimodal Bengali Book Genre Classification Benchmark Using TF-IDF and ResNet50 Features Across Classical Classifiers." Researchers can use this dataset for multimodal classification, text classification, image classification, feature fusion, transfer learning, benchmark evaluation, and other Bengali NLP and computer vision applications.
Source: Mendeley Data
DOI: 10.17632/j5c43nfrnm
Institution: Hamdard University Bangladesh
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7168276308