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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
code: string
name: string
iso3code: string
capital_city: struct<name: string, lng: double, lat: double>
  child 0, name: string
  child 1, lng: double
  child 2, lat: double
region: struct<id: string, value: string>
  child 0, id: string
  child 1, value: string
adminregion: struct<id: string, value: string>
  child 0, id: string
  child 1, value: string
incomeLevel: struct<id: string, value: string>
  child 0, id: string
  child 1, value: string
lendingType: struct<id: string, value: string>
  child 0, id: string
  child 1, value: string
numeric_code: string
wikidata_id: string
geonames_id: string
ioc_code: string
fifa_code: string
fips_code: string
bbox: struct<west: double, east: double, north: double, south: double>
  child 0, west: double
  child 1, east: double
  child 2, north: double
  child 3, south: double
official_name: string
languages: list<element: struct<code: string, name: string, official: bool>>
  child 0, element: struct<code: string, name: string, official: bool>
      child 0, code: string
      child 1, name: string
      child 2, official: bool
currencies: list<element: struct<code: string, name: string, symbol: string>>
  child 0, element: struct<code: string, name: string, symbol: string>
      child 0, code: string
      child 1, name: string
      child 2, symbol: string
un_member: bool
un_status: string
independent: bool
entity_type: string
code_status: string
recognition_status: struct<status: string, un_member: bool, notes: string>
  child 0, sta
...
e, year: int64, source: string, source_id: string>
  child 0, value: double
  child 1, year: int64
  child 2, source: string
  child 3, source_id: string
gini: struct<value: double, year: int64, source: string, source_id: string>
  child 0, value: double
  child 1, year: int64
  child 2, source: string
  child 3, source_id: string
centroid: struct<lat: double, lng: double>
  child 0, lat: double
  child 1, lng: double
timezones: list<element: string>
  child 0, element: string
timezone_status: string
native_names: map<string, struct<official: string, common: string> ('native_names')>
  child 0, native_names: struct<key: string not null, value: struct<official: string, common: string>> not null
      child 0, key: string not null
      child 1, value: struct<official: string, common: string>
          child 0, official: string
          child 1, common: string
other_names: list<element: struct<id: string, name: string>>
  child 0, element: struct<id: string, name: string>
      child 0, id: string
      child 1, name: string
common_names: list<element: string>
  child 0, element: string
provenance: list<element: struct<field: string, source: string, url: string, retrieved_at: string, license: stri (... 4 chars omitted)
  child 0, element: struct<field: string, source: string, url: string, retrieved_at: string, license: string>
      child 0, field: string
      child 1, source: string
      child 2, url: string
      child 3, retrieved_at: string
      child 4, license: string
to
{'id': Value('string'), 'name': Value('string'), 'other_names': List({'lang': Value('string'), 'name': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              code: string
              name: string
              iso3code: string
              capital_city: struct<name: string, lng: double, lat: double>
                child 0, name: string
                child 1, lng: double
                child 2, lat: double
              region: struct<id: string, value: string>
                child 0, id: string
                child 1, value: string
              adminregion: struct<id: string, value: string>
                child 0, id: string
                child 1, value: string
              incomeLevel: struct<id: string, value: string>
                child 0, id: string
                child 1, value: string
              lendingType: struct<id: string, value: string>
                child 0, id: string
                child 1, value: string
              numeric_code: string
              wikidata_id: string
              geonames_id: string
              ioc_code: string
              fifa_code: string
              fips_code: string
              bbox: struct<west: double, east: double, north: double, south: double>
                child 0, west: double
                child 1, east: double
                child 2, north: double
                child 3, south: double
              official_name: string
              languages: list<element: struct<code: string, name: string, official: bool>>
                child 0, element: struct<code: string, name: string, official: bool>
                    child 0, code: string
                    child 1, name: string
                    child 2, official: bool
              currencies: list<element: struct<code: string, name: string, symbol: string>>
                child 0, element: struct<code: string, name: string, symbol: string>
                    child 0, code: string
                    child 1, name: string
                    child 2, symbol: string
              un_member: bool
              un_status: string
              independent: bool
              entity_type: string
              code_status: string
              recognition_status: struct<status: string, un_member: bool, notes: string>
                child 0, sta
              ...
              e, year: int64, source: string, source_id: string>
                child 0, value: double
                child 1, year: int64
                child 2, source: string
                child 3, source_id: string
              gini: struct<value: double, year: int64, source: string, source_id: string>
                child 0, value: double
                child 1, year: int64
                child 2, source: string
                child 3, source_id: string
              centroid: struct<lat: double, lng: double>
                child 0, lat: double
                child 1, lng: double
              timezones: list<element: string>
                child 0, element: string
              timezone_status: string
              native_names: map<string, struct<official: string, common: string> ('native_names')>
                child 0, native_names: struct<key: string not null, value: struct<official: string, common: string>> not null
                    child 0, key: string not null
                    child 1, value: struct<official: string, common: string>
                        child 0, official: string
                        child 1, common: string
              other_names: list<element: struct<id: string, name: string>>
                child 0, element: struct<id: string, name: string>
                    child 0, id: string
                    child 1, name: string
              common_names: list<element: string>
                child 0, element: string
              provenance: list<element: struct<field: string, source: string, url: string, retrieved_at: string, license: stri (... 4 chars omitted)
                child 0, element: struct<field: string, source: string, url: string, retrieved_at: string, license: string>
                    child 0, field: string
                    child 1, source: string
                    child 2, url: string
                    child 3, retrieved_at: string
                    child 4, license: string
              to
              {'id': Value('string'), 'name': Value('string'), 'other_names': List({'lang': Value('string'), 'name': Value('string')})}
              because column names don't match

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Internacia Datasets

Reference data for countries (256) and international organizations / groups (“intblocks”, 1272), plus 78 blocktypes. Licensed CC-BY-4.0.

Source repository: datenoio/internacia-db

Files

File Description
countries.parquet Country reference records
intblocks.parquet Organizations / groups
blocktypes.parquet Taxonomy keys
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_codecountries.code
  • Borders use alpha-3 — join on iso3code

Citation

See Zenodo concept DOI 10.5281/zenodo.21452328 and the repository ATTRIBUTION.md.

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