Datasets:

cterdam
/

iso_3166-2

tags:
  - name
  - lang
  - iso-3166
  - subdivisions
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: code
      dtype: string
    - name: name
      dtype: string
    - name: name_en
      dtype: string
    - name: name_ru
      dtype: string
    - name: name_zh
      dtype: string
    - name: names_en_alt
      list: string
    - name: names_ru_alt
      list: string
    - name: names_zh_alt
      list: string
    - name: names_other
      list: string
    - name: region
      dtype: string
    - name: parent
      dtype: string
    - name: children
      list: string
    - name: links
      list: string
    - name: note
      dtype: string
    - name: lang
      dtype: string
  splits:
    - name: train
      num_bytes: 2051738
      num_examples: 5046
  download_size: 3823324
  dataset_size: 2051738

ISO 3166-2 Subdivision Codes with Lang

Regional subdivision codes with language selection.

Fields

code (string): ISO 3166-2 subdivision code (e.g., 'US-CA', 'RU-MOW')
name (string): Primary name in selected language
region (string): Parent ISO 3166-1 alpha-2 region code
name_en (string): English name
name_ru (string): Russian name
name_zh (string): Chinese name
lang (string): Language of primary name field (en, ru, or zh)
- Determined by parent region's language rule
parent (string): Parent subdivision code (if applicable)
children (list): Child subdivision codes
names_en_alt (list): Alternative English names
names_ru_alt (list): Alternative Russian names
names_zh_alt (list): Alternative Chinese names
names_other (list): Names in other languages
links (list): Reference links
note (string): Additional notes

Language Rule

Languages are determined by parent region using hardcoded mapping (same as iso_3166-1_alpha-2).

Usage

from datasets import load_dataset

ds = load_dataset('cterdam/iso_3166-2', split='train')
# Filter by region
ru_subdivs = ds.filter(lambda x: x['region'] == 'RU')
print(ru_subdivs[0])
# {
#   'code': 'RU-MOW',
#   'name': 'Москва',
#   'region': 'RU',
#   'lang': 'ru',
# }

Invariants

All entries in this dataset maintain the following invariants (verified by test/test_invariants.py):

Name Field

Required: Every entry has a name field
Constraint: name always equals one of name_en, name_ru, or name_zh (based on lang)
Example: If lang: ru, then name == name_ru

Lang Field

Required: Every entry has a lang field
Values: One of en, ru, or zh
Determination: Hardcoded by region (not inferred from text)
- Slavic regions (RU, UA, BY, KZ, etc.) → lang: ru
- Sinophone regions (CN, TW, HK, JP, etc.) → lang: zh
- All others → lang: en

Verify Invariants

Clone the dataset and run tests:

```bash git clone https://huggingface.co/datasets/cterdam/iso_3166-2 cd iso_3166-2

Install dependencies

pip install datasets

Run invariant tests

pytest test/test_invariants.py -v ```

Expected output: All tests pass, verifying dataset integrity.