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
id: string
name: string
slug: string
description: string
category: string
country: string
confidence: double
freshness: string
features: list<item: string>
child 0, item: string
serviceOptions: list<item: string>
child 0, item: string
specialHours: list<item: struct<date: string, open: string, close: string, label: string, closed: bool>>
child 0, item: struct<date: string, open: string, close: string, label: string, closed: bool>
child 0, date: string
child 1, open: string
child 2, close: string
child 3, label: string
child 4, closed: bool
paymentMethods: list<item: string>
child 0, item: string
socialLinks: struct<specialHours: list<item: struct<date: string, open: string, close: string, label: string, clo (... 48 chars omitted)
child 0, specialHours: list<item: struct<date: string, open: string, close: string, label: string, closed: bool>>
child 0, item: struct<date: string, open: string, close: string, label: string, closed: bool>
child 0, date: string
child 1, open: string
child 2, close: string
child 3, label: string
child 4, closed: bool
child 1, serviceOptions: list<item: string>
child 0, item: string
website: string
phone: string
email: string
location: struct<address: string, city: string, country: string, lat: null, lng: null, openingHours: null>
child 0, address: string
child 1, city: string
child 2, country: string
child 3, lat: null
child 4, lng: null
...
g, close: string, label: string, clo (... 48 chars omitted)
child 0, specialHours: list<item: struct<date: string, open: string, close: string, label: string, closed: bool>>
child 0, item: struct<date: string, open: string, close: string, label: string, closed: bool>
child 0, date: string
child 1, open: string
child 2, close: string
child 3, label: string
child 4, closed: bool
child 1, serviceOptions: list<item: string>
child 0, item: string
child 13, website: string
child 14, phone: string
child 15, email: string
child 16, location: struct<address: string, city: string, country: string, lat: null, lng: null, openingHours: null>
child 0, address: string
child 1, city: string
child 2, country: string
child 3, lat: null
child 4, lng: null
child 5, openingHours: null
child 17, products: list<item: null>
child 0, item: null
child 18, services: list<item: null>
child 0, item: null
child 19, reviews: list<item: null>
child 0, item: null
child 20, facts: list<item: struct<p: string, o: string, c: double>>
child 0, item: struct<p: string, o: string, c: double>
child 0, p: string
child 1, o: string
child 2, c: double
child 21, updatedAt: string
total: int64
to
{'dataset': Value('string'), 'license': Value('string'), 'version': Value('string'), 'generatedAt': Value('string'), 'country': {'code': Value('string'), 'name': Value('string'), 'languages': List(Value('string')), 'defaultLocale': Value('string'), 'phoneCountryCode': Value('string'), 'aiAgents': List({'name': Value('string'), 'type': Value('string'), 'target': Value('string'), 'feedFormat': Value('string')})}, 'total': Value('int64'), 'categories': {'OTHER': Value('int64'), 'MENTAL_HEALTH': Value('int64')}, 'businesses': List({'id': Value('string'), 'name': Value('string'), 'slug': Value('string'), 'description': Value('string'), 'category': Value('string'), 'country': Value('string'), 'confidence': Value('float64'), 'freshness': Value('string'), 'features': List(Value('string')), 'serviceOptions': List(Value('string')), 'specialHours': List({'date': Value('string'), 'open': Value('string'), 'close': Value('string'), 'label': Value('string'), 'closed': Value('bool')}), 'paymentMethods': List(Value('string')), 'socialLinks': {'specialHours': List({'date': Value('string'), 'open': Value('string'), 'close': Value('string'), 'label': Value('string'), 'closed': Value('bool')}), 'serviceOptions': List(Value('string'))}, 'website': Value('string'), 'phone': Value('string'), 'email': Value('string'), 'location': {'address': Value('string'), 'city': Value('string'), 'country': Value('string'), 'lat': Value('null'), 'lng': Value('null'), 'openingHours': Value('null')}, 'products': List(Value('null')), 'services': List(Value('null')), 'reviews': List(Value('null')), 'facts': List({'p': Value('string'), 'o': Value('string'), 'c': Value('float64')}), 'updatedAt': 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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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/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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
name: string
slug: string
description: string
category: string
country: string
confidence: double
freshness: string
features: list<item: string>
child 0, item: string
serviceOptions: list<item: string>
child 0, item: string
specialHours: list<item: struct<date: string, open: string, close: string, label: string, closed: bool>>
child 0, item: struct<date: string, open: string, close: string, label: string, closed: bool>
child 0, date: string
child 1, open: string
child 2, close: string
child 3, label: string
child 4, closed: bool
paymentMethods: list<item: string>
child 0, item: string
socialLinks: struct<specialHours: list<item: struct<date: string, open: string, close: string, label: string, clo (... 48 chars omitted)
child 0, specialHours: list<item: struct<date: string, open: string, close: string, label: string, closed: bool>>
child 0, item: struct<date: string, open: string, close: string, label: string, closed: bool>
child 0, date: string
child 1, open: string
child 2, close: string
child 3, label: string
child 4, closed: bool
child 1, serviceOptions: list<item: string>
child 0, item: string
website: string
phone: string
email: string
location: struct<address: string, city: string, country: string, lat: null, lng: null, openingHours: null>
child 0, address: string
child 1, city: string
child 2, country: string
child 3, lat: null
child 4, lng: null
...
g, close: string, label: string, clo (... 48 chars omitted)
child 0, specialHours: list<item: struct<date: string, open: string, close: string, label: string, closed: bool>>
child 0, item: struct<date: string, open: string, close: string, label: string, closed: bool>
child 0, date: string
child 1, open: string
child 2, close: string
child 3, label: string
child 4, closed: bool
child 1, serviceOptions: list<item: string>
child 0, item: string
child 13, website: string
child 14, phone: string
child 15, email: string
child 16, location: struct<address: string, city: string, country: string, lat: null, lng: null, openingHours: null>
child 0, address: string
child 1, city: string
child 2, country: string
child 3, lat: null
child 4, lng: null
child 5, openingHours: null
child 17, products: list<item: null>
child 0, item: null
child 18, services: list<item: null>
child 0, item: null
child 19, reviews: list<item: null>
child 0, item: null
child 20, facts: list<item: struct<p: string, o: string, c: double>>
child 0, item: struct<p: string, o: string, c: double>
child 0, p: string
child 1, o: string
child 2, c: double
child 21, updatedAt: string
total: int64
to
{'dataset': Value('string'), 'license': Value('string'), 'version': Value('string'), 'generatedAt': Value('string'), 'country': {'code': Value('string'), 'name': Value('string'), 'languages': List(Value('string')), 'defaultLocale': Value('string'), 'phoneCountryCode': Value('string'), 'aiAgents': List({'name': Value('string'), 'type': Value('string'), 'target': Value('string'), 'feedFormat': Value('string')})}, 'total': Value('int64'), 'categories': {'OTHER': Value('int64'), 'MENTAL_HEALTH': Value('int64')}, 'businesses': List({'id': Value('string'), 'name': Value('string'), 'slug': Value('string'), 'description': Value('string'), 'category': Value('string'), 'country': Value('string'), 'confidence': Value('float64'), 'freshness': Value('string'), 'features': List(Value('string')), 'serviceOptions': List(Value('string')), 'specialHours': List({'date': Value('string'), 'open': Value('string'), 'close': Value('string'), 'label': Value('string'), 'closed': Value('bool')}), 'paymentMethods': List(Value('string')), 'socialLinks': {'specialHours': List({'date': Value('string'), 'open': Value('string'), 'close': Value('string'), 'label': Value('string'), 'closed': Value('bool')}), 'serviceOptions': List(Value('string'))}, 'website': Value('string'), 'phone': Value('string'), 'email': Value('string'), 'location': {'address': Value('string'), 'city': Value('string'), 'country': Value('string'), 'lat': Value('null'), 'lng': Value('null'), 'openingHours': Value('null')}, 'products': List(Value('null')), 'services': List(Value('null')), 'reviews': List(Value('null')), 'facts': List({'p': Value('string'), 'o': Value('string'), 'c': Value('float64')}), 'updatedAt': Value('string')})}
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.
Geotimize — Local Business Data for AI
Free structured business data for AI agents.
Structure
| File | Description |
|---|---|
data.json |
Global dataset (latest) |
data.jsonl |
JSONL version |
by-country/{CODE}.json |
Per-country split |
archive/{YYYY-MM-DD}/ |
Versioned snapshots |
Usage
from datasets import load_dataset
ds = load_dataset("geotimize/businesses", split="train")
License
CC0-1.0 — Free for any use.
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