Skip to main content

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 and Niloy Barua Supta and Shifatun Nur Shifa and Khondaker A. Mamun (2025). “BD Sports-10 Dataset”, V5. 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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bd_sports_10_original-0.4.0.tar.gz (9.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bd_sports_10_original-0.4.0-py3-none-any.whl (10.0 kB view details)

Uploaded Python 3

File details

Details for the file bd_sports_10_original-0.4.0.tar.gz.

File metadata

  • Download URL: bd_sports_10_original-0.4.0.tar.gz
  • Upload date:
  • Size: 9.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for bd_sports_10_original-0.4.0.tar.gz
Algorithm Hash digest
SHA256 488400e1bdc0f9d1a6d64e568420d70a1d91a580a5ef94c440701c1e99001c94
MD5 78657948ff10aebda3e254b462729377
BLAKE2b-256 085b4c0d1c1d61f99d5671325d5edca5515da9dd35ebcd975ff4a45ac1dd2b06

See more details on using hashes here.

File details

Details for the file bd_sports_10_original-0.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for bd_sports_10_original-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fba6ab90f55ab6aff11a8d49c1801ab85563668e05e5a22f953dec85f2cc9e7e
MD5 8af90e75b54c9904ef69179ac9f8a7ea
BLAKE2b-256 c042fd6c9730c89ea8d9fbf192000409043661e2cde9fa01002c00510f45aa15

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page