README.md

---
license: cc-by-4.0
size_categories:
- n<1K
---

SCI-predictiom dataset was developed and used in the study: 
**"AI for City Districts: Estimating City Districts' Sustainability using Satellite Data"**

### Dataset Structure

- **/raw** folder contains original satellite images of size 4800 by 4800, across 3-4 sites through each presented city.
- **/processed** folder contains divided satellite patches of size 480 by 480, with overlap size of 240, across the same sites and cities.
- For convenient download and efficient storage, all files are packaged in .zip archives.

Data Fields
- `image`: RGB satellite image tile of size 200m by 200m (or 480 by 480 pixels).  
- `label`: Sustainable City Indexes.

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### Intended Use

The dataset is designed for **research and educational purposes**, particularly for computer vision and sustainability analysis.

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### Citation

If you use this dataset or related models in your work, please cite:

> **Bissarinova, U., Tleuken, A., Varol, H. A., & Karaca, F. (2025).**
> *AI for City Districts: Estimating City Districts' Sustainability using Satellite Data* [Dataset].
> Institute of Smart Systems and Artificial Intelligence & Department of Civil and Environmental Engineering, Nazarbayev University. Hugging Face.
> [https://doi.org/10.57967/hf/6652](https://doi.org/10.57967/hf/6652)

**BibTeX:**

```bibtex
@dataset{bissarinova2025ai_city_districts,
  author       = {Bissarinova, Ulzhan and Tleuken, Aidana and Varol, Huseyin Atakan and Karaca, Ferhat},
  title        = {AI for City Districts: Estimating City Districts' Sustainability using Satellite Data},
  year         = {2025},
  institution  = {Institute of Smart Systems and Artificial Intelligence & Department of Civil and Environmental Engineering, Nazarbayev University},
  publisher    = {Hugging Face},
  doi          = {10.57967/hf/6652},
  url          = {https://doi.org/10.57967/hf/6652}
}
```

Corresponding SCI prediction models can be found at: https://huggingface.co/issai/SCI_prediction_models