Dataset Viewer
Auto-converted to Parquet Duplicate
The dataset viewer is not available for this split.
Not found.
Error code:   ResponseNotFound

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Internacia Datasets

Reference data for countries (256) and international organizations / groups (“intblocks”, 1275), plus 78 blocktypes. Licensed CC-BY-4.0.

Source repository: datenoio/internacia-db

Loading

Each table is a separate config:

from datasets import load_dataset

countries = load_dataset("datenoio/internacia", "countries")
intblocks = load_dataset("datenoio/internacia", "intblocks")

or directly from the parquet files:

import pandas as pd
countries = pd.read_parquet("hf://datasets/datenoio/internacia/countries/countries.parquet")

Nested fields (capital_city, region, incomeLevel, languages, borders, native_names, …) are natively typed parquet structs, lists, and maps. The Data Studio grid renders them as JSON text — that is display-only; the Features panel shows the real types.

Files

Path Description
countries/countries.parquet Country reference records
intblocks/intblocks.parquet Organizations / groups
blocktypes/blocktypes.parquet Taxonomy keys
memberships/memberships.parquet Flattened country↔intblock edges
datapackage.json Frictionless resource index
*.manifest.json Version, schema_hash, build identity

Join keys

  • Countries: code (alpha-2), iso3code, wikidata_id
  • Intblocks: id; membership via memberships.country_code ↔ countries.code
  • Borders use alpha-3 — join on iso3code

Citation

See Zenodo concept DOI 10.5281/zenodo.20706176 and the repository ATTRIBUTION.md.

Downloads last month
165