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Original version of BD Sports 10 dataset with downloader and progress bar

Project description

🏏 BD Sports-10 Dataset

The BD Sports-10 Dataset is a comprehensive collection of 3,000 high-resolution videos (1920×1080 pixels at 30 frames per second) showcasing ten culturally and traditionally significant Bangladeshi sports.

This dataset is designed to support research in action recognition, cultural heritage preservation, sports video classification, and machine learning applications.


⚠️ Please note that the dataset version and the PyPI package version may not be the same—always check the version you are using to ensure consistency.

📁 Dataset Structure

The dataset directory (BD_Sports_10) contains two main subfolders:

  • Annotation/ → Annotation files
  • Dataset/ → Video data categorized into 10 sports classes

Each class folder contains 300 videos, ensuring a balanced distribution suitable for supervised learning and deep learning model benchmarking.


🏸 Sports Categories

The dataset includes the following ten Bangladeshi indigenous sports:

  1. Hari Vanga
  2. Joldanga
  3. Kanamachi
  4. Lathim
  5. Morog Lorai
  6. Toilakto Kolagach Arohon (Kolagach)
  7. Nouka Baich
  8. Kabaddi
  9. Kho Kho
  10. Lathi Khela

🎯 Research Applications

This dataset is designed to support:

  • Human action recognition
  • Cultural heritage preservation
  • Bangladeshi Sports video classification
  • Supervised learning tasks
  • Deep learning model benchmarking

📜 The dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Proper citation is required when using or redistributing this dataset.


📜 Citation: BD Sports-10 Dataset (Original Dataset)

Please cite the dataset if used:

  • Wazih Ullah Tanzim, Syed Md. Minhaz Hossain, Niloy Barua Supta, et al. (2025). “BD Sports-10 Dataset”, V4. Science Data Bank. DOI: 10.57760/sciencedb.24216

🔖 APA Citation (Original Dataset):


BibTeX Citation:

📚 BibTex Citation (Original Dataset):

@misc{tanzim2025_bdsports10_original,
  author       = {Wazih Ullah Tanzim and Niloy Barua Supta and Shifatun Nur Shifa and Khondaker A. Mamun},
  title        = {{BD Sports-10 Dataset}},
  year         = {2025},
  month        = {November},
  publisher    = {Science Data Bank},
  version      = {V5},
  doi          = {10.57760/sciencedb.24216},
  url          = {https://doi.org/10.57760/sciencedb.24216}
}

📄 License

  • Dataset → CC BY 4.0 (attribution required)

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