Metadata-Version: 2.4
Name: bd_sports_10_original
Version: 0.2.0
Summary: Original version of BD Sports 10 dataset with downloader and progress bar
Home-page: https://doi.org/10.57760/sciencedb.24216
Author: Wazih Ullah Tanzim, Syed Md. Minhaz Hossain
Author-email: wazihullahtanzim@gmail.com
License: CC BY 4.0
Classifier: Programming Language :: Python :: 3
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Utilities
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: requests
Requires-Dist: tqdm
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
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# 🏏 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**.

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# ⚠️ 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.

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## 🏸 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

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- **Original Version (1920×1080 pixels):** [Science Data Bank](https://doi.org/10.57760/sciencedb.24216)
- [![BD Sports-10 Dataset (1920×1080 Pixels, Original Version)](https://img.shields.io/badge/BD_Sports_10_Original_Version-1920x1080-green)](https://doi.org/10.57760/sciencedb.24216)

> 📜 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.

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## 📜 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](https://doi.org/10.57760/sciencedb.24216)

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## 🔖 APA Citation (Original Dataset):

- Tanzim, W. U., Hossain, S. M. M., Supta, N. B., & Shifatun Nur, S. (2025, October). BD Sports-10 Dataset (Version V4) [Data set]. Science Data Bank. https://doi.org/10.57760/sciencedb.24216

---

**BibTeX Citation:**

## 📚 BibTex Citation (Original Dataset):

```bibtex
@misc{tanzim2025_bdsports10_original,
  author       = {Wazih Ullah Tanzim and Syed Md. Minhaz Hossain and Niloy Barua Supta and Shifatun Nur Shifa},
  title        = {{BD Sports-10 Dataset}},
  year         = {2025},
  month        = {October},
  publisher    = {Science Data Bank},
  version      = {V4},
  doi          = {10.57760/sciencedb.24216},
  url          = {https://doi.org/10.57760/sciencedb.24216}
}
```

## 📄 License

- **Dataset** → CC BY 4.0 (attribution required)
