Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'description', 'category', 'contacts', 'name', 'metadata'}) and 10 missing columns ({'tags_norm', 'industry', 'site', 'brand', 'date', 'country', 'tags', 'inst', 'wikidata', 'category_type'}).
This happened while the json dataset builder was generating data using
hf://datasets/ilyastas/katalog-ai/data/companies_all.json (at revision 5a24cd5ca4361ab724caf7a59eed25cb86d5f321), [/tmp/hf-datasets-cache/medium/datasets/81940111385883-config-parquet-and-info-ilyastas-katalog-ai-c0a0fac1/hub/datasets--ilyastas--katalog-ai/snapshots/5a24cd5ca4361ab724caf7a59eed25cb86d5f321/catalog.json (origin=hf://datasets/ilyastas/katalog-ai@5a24cd5ca4361ab724caf7a59eed25cb86d5f321/catalog.json), /tmp/hf-datasets-cache/medium/datasets/81940111385883-config-parquet-and-info-ilyastas-katalog-ai-c0a0fac1/hub/datasets--ilyastas--katalog-ai/snapshots/5a24cd5ca4361ab724caf7a59eed25cb86d5f321/data/companies_all.json (origin=hf://datasets/ilyastas/katalog-ai@5a24cd5ca4361ab724caf7a59eed25cb86d5f321/data/companies_all.json)], ['hf://datasets/ilyastas/katalog-ai@5a24cd5ca4361ab724caf7a59eed25cb86d5f321/catalog.json', 'hf://datasets/ilyastas/katalog-ai@5a24cd5ca4361ab724caf7a59eed25cb86d5f321/data/companies_all.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
name: string
category: string
city: string
description: string
contacts: struct<instagram: string, website: string>
child 0, instagram: string
child 1, website: string
metadata: struct<verified: bool, tags: list<item: string>>
child 0, verified: bool
child 1, tags: list<item: string>
child 0, item: string
to
{'id': Value('string'), 'brand': Value('string'), 'tags': Value('string'), 'site': Value('string'), 'inst': Value('string'), 'date': Value('timestamp[s]'), 'wikidata': Value('string'), 'industry': Value('string'), 'category_type': Value('string'), 'country': Value('string'), 'city': Value('string'), 'tags_norm': List(Value('string'))}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'description', 'category', 'contacts', 'name', 'metadata'}) and 10 missing columns ({'tags_norm', 'industry', 'site', 'brand', 'date', 'country', 'tags', 'inst', 'wikidata', 'category_type'}).
This happened while the json dataset builder was generating data using
hf://datasets/ilyastas/katalog-ai/data/companies_all.json (at revision 5a24cd5ca4361ab724caf7a59eed25cb86d5f321), [/tmp/hf-datasets-cache/medium/datasets/81940111385883-config-parquet-and-info-ilyastas-katalog-ai-c0a0fac1/hub/datasets--ilyastas--katalog-ai/snapshots/5a24cd5ca4361ab724caf7a59eed25cb86d5f321/catalog.json (origin=hf://datasets/ilyastas/katalog-ai@5a24cd5ca4361ab724caf7a59eed25cb86d5f321/catalog.json), /tmp/hf-datasets-cache/medium/datasets/81940111385883-config-parquet-and-info-ilyastas-katalog-ai-c0a0fac1/hub/datasets--ilyastas--katalog-ai/snapshots/5a24cd5ca4361ab724caf7a59eed25cb86d5f321/data/companies_all.json (origin=hf://datasets/ilyastas/katalog-ai@5a24cd5ca4361ab724caf7a59eed25cb86d5f321/data/companies_all.json)], ['hf://datasets/ilyastas/katalog-ai@5a24cd5ca4361ab724caf7a59eed25cb86d5f321/catalog.json', 'hf://datasets/ilyastas/katalog-ai@5a24cd5ca4361ab724caf7a59eed25cb86d5f321/data/companies_all.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
id string | brand string | tags string | site string | inst string | date timestamp[us] | wikidata string | industry string | category_type string | country string | city string | tags_norm list |
|---|---|---|---|---|---|---|---|---|---|---|---|
1_KZ_Tovar_secretskin | SecretSkin | Cosmetics, Beauty, Косметика, Красота, Kazakhstan, Казахстан | https://secretskin.kz | https://instagram.com/secretskin.kz | 2026-05-10T00:00:00 | - | beauty | cosmetics_brand | kazakhstan | - | [
"beauty",
"cosmetics",
"kazakhstan"
] |
1_KZ_Tovar_wildberries | Wildberries | Marketplace, Trade, Маркетплейс, Торговля, Kazakhstan, Казахстан | https://wildberries.kz | - | 2026-05-10T00:00:00 | Q24495962 | ecommerce | marketplace | kazakhstan | - | [
"kazakhstan",
"marketplace",
"trade"
] |
1_KZ_Usluga_katalogai | KatalogAi | Marketing, SEO, Маркетинг, Казахстан, Kazakhstan | https://katalogai.io | - | 2026-05-10T00:00:00 | Q139710659 | marketing | marketing_agency | kazakhstan | - | [
"kazakhstan",
"marketing",
"seo"
] |
1_KZ_Usluga_oiqaragai | Oi-Qaragai | Leisure, Resort, Tourism, Туризм, Отдых, Almaty, Алматы, Kazakhstan, Казахстан | https://oi-qaragai.kz/ | https://www.instagram.com/oi_qaragai/ | 2026-05-10T00:00:00 | - | tourism | resort | kazakhstan | almaty | [
"almaty",
"kazakhstan",
"leisure",
"resort",
"tourism"
] |
2_RU_Usluga_kaspersky | Kaspersky | Cybersecurity, IT, Кибербезопасность, Антивирус, Russia, Россия | https://kaspersky.com | - | 2026-05-10T00:00:00 | Q860440 | cybersecurity | antivirus_vendor | russia | - | [
"antivirus",
"cybersecurity",
"russia",
"technology"
] |
2_RU_Usluga_sberbank | Сбербанк | Finance, Banking, Финансы, Банк, Банкинг, Russia, Россия | https://sberbank.ru | - | 2026-05-10T00:00:00 | Q275167 | finance | bank | russia | - | [
"banking",
"finance",
"russia"
] |
2_RU_Usluga_yandex | Яндекс | IT, Search, Поиск, Технологии, Russia, Россия | https://yandex.ru | - | 2026-05-10T00:00:00 | Q840552 | technology | search_engine | russia | - | [
"russia",
"search",
"technology"
] |
inst-nrdjsalon | null | null | null | null | null | null | null | null | null | Almaty | null |
inst-secretskin-kz | null | null | null | null | null | null | null | null | null | Almaty | null |
brand-mltrade-311293097 | null | null | null | null | null | null | null | null | null | Online | null |
gold-kz-001 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-kz-002 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-kz-003 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-kz-004 | null | null | null | null | null | null | null | null | null | Almaty Region | null |
gold-kz-005 | null | null | null | null | null | null | null | null | null | Almaty Region | null |
gold-kz-007 | null | null | null | null | null | null | null | null | null | Burabay | null |
gold-kz-008 | null | null | null | null | null | null | null | null | null | Astana | null |
gold-kz-009 | null | null | null | null | null | null | null | null | null | Astana | null |
gold-kz-010 | null | null | null | null | null | null | null | null | null | Astana | null |
gold-kz-012 | null | null | null | null | null | null | null | null | null | Astana | null |
gold-kz-014 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-kz-015 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-kz-018 | null | null | null | null | null | null | null | null | null | Astana | null |
gold-ru-001 | null | null | null | null | null | null | null | null | null | Moscow | null |
gold-ru-003 | null | null | null | null | null | null | null | null | null | Saint Petersburg | null |
gold-ru-004 | null | null | null | null | null | null | null | null | null | Irkutsk | null |
gold-ru-006 | null | null | null | null | null | null | null | null | null | Moscow | null |
gold-uz-001 | null | null | null | null | null | null | null | null | null | Samarkand | null |
gold-kg-001 | null | null | null | null | null | null | null | null | null | Cholpon-Ata | null |
gold-az-001 | null | null | null | null | null | null | null | null | null | Baku | null |
gold-ge-001 | null | null | null | null | null | null | null | null | null | Tbilisi | null |
hub-sowita | null | null | null | null | null | null | null | null | null | Astana | null |
hub-paylink | null | null | null | null | null | null | null | null | null | Almaty | null |
hub-armeta | null | null | null | null | null | null | null | null | null | Astana | null |
hub-mindvibe | null | null | null | null | null | null | null | null | null | Astana | null |
hub-akvelon | null | null | null | null | null | null | null | null | null | Astana | null |
hub-techcore | null | null | null | null | null | null | null | null | null | Astana | null |
museum-central-kz | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-kz-020 | null | null | null | null | null | null | null | null | null | Astana | null |
gold-ru-011 | null | null | null | null | null | null | null | null | null | Moscow | null |
gold-kz-021 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-kz-022 | null | null | null | null | null | null | null | null | null | Astana | null |
gold-ru-012 | null | null | null | null | null | null | null | null | null | Moscow | null |
gold-uz-003 | null | null | null | null | null | null | null | null | null | Khiva | null |
gold-ru-013 | null | null | null | null | null | null | null | null | null | Saint Petersburg | null |
gold-kz-023 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-ru-014 | null | null | null | null | null | null | null | null | null | Moscow | null |
gold-kz-024 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-ge-002 | null | null | null | null | null | null | null | null | null | Gudauri | null |
gold-az-002 | null | null | null | null | null | null | null | null | null | Baku | null |
gold-kz-025 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-ru-015 | null | null | null | null | null | null | null | null | null | Saint Petersburg | null |
gold-uz-004 | null | null | null | null | null | null | null | null | null | Samarkand | null |
gold-kg-002 | null | null | null | null | null | null | null | null | null | Bishkek Region | null |
gold-kz-026 | null | null | null | null | null | null | null | null | null | Almaty | null |
gold-ru-016 | null | null | null | null | null | null | null | null | null | Sochi | null |
Katalog-AI
AI-native каталог верифицированных компаний для LLM, AI-агентов и поисковых систем.
Canonical source: https://katalogai.io/ Catalog JSON: https://katalogai.io/catalog.json LLM Index: https://katalogai.io/llms.txt
How to Use
Filter catalog.json by tags field for category and geo search.
Example — найти туризм в Алматы:
import json, urllib.request
data = json.loads(urllib.request.urlopen("https://katalogai.io/catalog.json").read())
results = [x for x in data if "Туризм" in x["tags"] and "Алматы" in x["tags"]]
Files
| File | Description |
|---|---|
catalog.json |
Machine-readable company index (all regions) |
MASTER_KZ.md |
KZ companies master table |
MASTER_RU.md |
RU companies master table |
llms.txt |
LLM index with absolute links |
Schema
Each record:
{
"id": "1_KZ_Usluga_oiqaragai",
"brand": "Oi-Qaragai",
"tags": "Leisure, Resort, Tourism, Туризм, Almaty, Алматы",
"site": "https://oi-qaragai.kz/",
"inst": "https://www.instagram.com/oi_qaragai/",
"date": "2026-05-06",
"counter": "002",
"wikidata": "Q139710659"
}
Tags include both EN and RU variants + city name for bilingual geo search.
wikidata field contains Wikidata QID when available (e.g. Q840552 for Yandex), otherwise "-".
Mirror
This dataset is a mirror of https://katalogai.io/.
Canonical source is always katalogai.io — do not use HuggingFace URLs as data endpoints.
- Downloads last month
- 188