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databek/uzbek_settlements

๐Ÿ™๏ธ Uzbek Settlements Dataset The Uzbekistan Settlements Dataset is a structured list of administrative and populated places across Uzbekistan.It contains hierarchical information about regions (viloyatlar), districts (tumanlar), cities, and villages, represented with simple relational fields. ๐Ÿ“ฆ Dataset Summary Total Records: (depends on coverage) Language: Uzbek (uz) Format: Parquet / CSV Split: train (complete dataset) This dataset is useful for: ๐Ÿ˜๏ธโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/databek/uzbek_settlements.

sourceHugging Faceupdated 11mo agoView on Hugging Face
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๐Ÿ™๏ธ Uzbek Settlements Dataset

The Uzbekistan Settlements Dataset is a structured list of administrative and populated places across Uzbekistan. It contains hierarchical information about regions (viloyatlar), districts (tumanlar), cities, and villages, represented with simple relational fields.

๐Ÿ“ฆ Dataset Summary

  • โ€”Total Records: (depends on coverage)
  • โ€”Language: Uzbek (uz)
  • โ€”Format: Parquet / CSV
  • โ€”Split: train (complete dataset)

This dataset is useful for:

  • โ€”๐Ÿ˜๏ธ Building geographic hierarchies of Uzbekistan
  • โ€”๐Ÿงญ NLP tasks (recognizing place names)
  • โ€”๐Ÿ“Š Data visualization and regional analytics
  • โ€”๐Ÿ“ Administrative data mapping

๐Ÿงฑ Dataset Structure

ColumnTypeDescription
idstringUnique identifier for each record
addressstringName of the region, district, city, or village
typestringAdministrative level (region, district, city, village)
parent_idstringID of the parent location (null for top-level regions)

๐Ÿงฉ Example

python
from datasets import load_dataset

dataset = load_dataset("databek/uzbek_settlements")
print(dataset["train"][0])

๐Ÿ“š Citation

bibtex
@dataset{databek_uzbekistan_locations_2025,
  author    = {Databek Community},
  title     = {Uzbek Settlements Dataset},
  year      = {2025},
  url       = {https://huggingface.co/datasets/databek/uzbek_settlements},
  note      = {Compiled and curated by the Databek AI & Data Community}
}