BanglaBeats Dataset

Overview

BanglaBeats is a comprehensive dataset of Bengali songs created for music genre classification tasks. The dataset consists of 1617 audio samples, each lasting for 30 seconds, and spans across 8 distinct music genres. Each 30-second audio clip is divided into 10 shorter clips, each lasting for 3 seconds, as part of the augmentation process.

Citation

If you use BanglaBeats in your research, please cite the following paper:

Title: BanglaBeats: A Comprehensive Dataset of Bengali Songs for Music Genre Classification Tasks
Authors: Md. Mehedi Hasan Jibon, Dewan Mahinur Alam, Mohammad Shahidur Rahman
Conference: 2023 26th International Conference on Computer and Information Technology (ICCIT)
DOI: 10.1109/iccit60459.2023.10441288

Dataset Links

• Kaggle: BanglaBeats on Kaggle
• Hugging Face: BanglaBeats on Hugging Face

BibTeX:

@inproceedings{jibon2023banglabeats,
  title={BanglaBeats: A Comprehensive Dataset of Bengali Songs for Music Genre Classification Tasks},
  author={Jibon, Md Mehedi Hasan and Alam, Dewan Mahinur and Rahman, Mohammad Shahidur},
  booktitle={2023 26th International Conference on Computer and Information Technology (ICCIT)},
  pages={1--6},
  year={2023},
  organization={IEEE}
}