Dataset Viewer
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
built: timestamp[s]
counts: struct<aland: int64, insee: int64, jersey: int64, morocco_hcp: int64, norfolk: int64, pacific: int64 (... 34 chars omitted)
child 0, aland: int64
child 1, insee: int64
child 2, jersey: int64
child 3, morocco_hcp: int64
child 4, norfolk: int64
child 5, pacific: int64
child 6, taiwan: int64
child 7, countries: int64
files: list<item: string>
child 0, item: string
failed: list<item: null>
child 0, item: null
tiles: string
publisher: string
source: string
licence: string
places: list<item: struct<iso3: string, name: string, population: int64, aged_65_plus_pct: double, period: t (... 13 chars omitted)
child 0, item: struct<iso3: string, name: string, population: int64, aged_65_plus_pct: double, period: timestamp[s] (... 1 chars omitted)
child 0, iso3: string
child 1, name: string
child 2, population: int64
child 3, aged_65_plus_pct: double
child 4, period: timestamp[s]
url: string
to
{'source': Value('string'), 'publisher': Value('string'), 'url': Value('string'), 'licence': Value('string'), 'places': List({'iso3': Value('string'), 'name': Value('string'), 'population': Value('int64'), 'aged_65_plus_pct': Value('float64'), 'period': Value('timestamp[s]')})}
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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, 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
built: timestamp[s]
counts: struct<aland: int64, insee: int64, jersey: int64, morocco_hcp: int64, norfolk: int64, pacific: int64 (... 34 chars omitted)
child 0, aland: int64
child 1, insee: int64
child 2, jersey: int64
child 3, morocco_hcp: int64
child 4, norfolk: int64
child 5, pacific: int64
child 6, taiwan: int64
child 7, countries: int64
files: list<item: string>
child 0, item: string
failed: list<item: null>
child 0, item: null
tiles: string
publisher: string
source: string
licence: string
places: list<item: struct<iso3: string, name: string, population: int64, aged_65_plus_pct: double, period: t (... 13 chars omitted)
child 0, item: struct<iso3: string, name: string, population: int64, aged_65_plus_pct: double, period: timestamp[s] (... 1 chars omitted)
child 0, iso3: string
child 1, name: string
child 2, population: int64
child 3, aged_65_plus_pct: double
child 4, period: timestamp[s]
url: string
to
{'source': Value('string'), 'publisher': Value('string'), 'url': Value('string'), 'licence': Value('string'), 'places': List({'iso3': Value('string'), 'name': Value('string'), 'population': Value('int64'), 'aged_65_plus_pct': Value('float64'), 'period': Value('timestamp[s]')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
World places
Official population figures for places that the World Bank's API leaves out, each from the place's own statistics office (or the official regional body), rebuilt weekly by AlreadyOpen/world-places. Taiwan, for example, has its own government and population and no World Bank entry at all.
index.json: the bake time, the files, and how many places each holds.<source>.json, one per source, never merged, so each keeps its own terms:publisher,url,licence, andplaceswithiso3,name,population,period, and where the source publishes it,aged_65_plus_pctanddensity_per_km2. A figure a source does not publish is left out, never estimated.countries.pmtiles(bucket and dataset): Natural Earth 1:10m country outlines (public domain) as vector tiles, layercountries, zooms 0-10, every Natural Earth field. Taiwan, Hong Kong and Macau are their own places.manifest.json: sha256 and size of every file, the counts and the sources.
| File | Places | Publisher | Terms |
|---|---|---|---|
taiwan.json |
Taiwan | Ministry of the Interior (Taiwan), Department of Household Registration | Open Government Data License |
pacific.json |
Cook Islands, Niue, Wallis and Futuna, Pitcairn Islands | Pacific Community (SPC) | terms of use |
aland.json |
Åland | Statistics and Research Åland (ÅSUB). Källa: ÅSUB | CC BY 4.0 |
norfolk.json |
Norfolk Island | Australian Bureau of Statistics | CC BY 4.0 |
insee.json |
Saint Pierre and Miquelon, Saint-Barthélemy, Saint-Martin | INSEE. Source : Insee | Licence Ouverte 2.0 |
jersey.json |
Jersey | Statistics Jersey | Open Government Licence – Jersey v1.0 |
morocco_hcp.json |
Laâyoune-Sakia El Hamra, Dakhla-Oued Ed-Dahab (ESH) |
Haut-Commissariat au Plan (HCP), Morocco. Source : HCP, RGPH 2024 | CC BY 4.0 for indicators |
Every file here is under an open licence or open terms. Official figures with no open licence (Guernsey, Northern Cyprus,
Anguilla, Montserrat, Saint Helena and Tristan da Cunha, Falklands, Vatican, Somaliland) are in a separate dataset,
alreadyopen/world-places-nc. Places may carry notes
(estimate caveats). morocco_hcp.json gives Morocco's 2024 census legal population for the two Moroccan-administered regions
side by side, with scope and status_note ("Status disputed"): Morocco's regional borders do not match the territory of
Western Sahara, so they are never summed into a Western Sahara total.
Taiwan's density uses its land area of 36,197 km² (Ministry of the Interior). The 65+ share is computed from each source's single-year age counts. Provided as is, with no warranty, and not endorsed by any of the sources.
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