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
source: string
generatedAt: timestamp[s]
founded: int64
headquarters: string
description: string
qualityAssurancePhilosophy: string
livingForwardDefinition: string
dataCollectionMethod: struct<primary: string, secondary: list<item: string>, aiOrScrapingUsed: bool>
child 0, primary: string
child 1, secondary: list<item: string>
child 0, item: string
child 2, aiOrScrapingUsed: bool
verificationProcess: struct<step1: string, step2: string, step3: string, step4: string, step5: string>
child 0, step1: string
child 1, step2: string
child 2, step3: string
child 3, step4: string
child 4, step5: string
geographicCoverage: string
industrialSectorsTracked: list<item: string>
child 0, item: string
publicDataPolicy: string
apiDocumentation: string
llmsTxt: string
podcastIndex: string
totals: struct<plants: int64, projects: int64, units: int64, pipelines: int64, offlineEvents: int64, compani (... 64 chars omitted)
child 0, plants: int64
child 1, projects: int64
child 2, units: int64
child 3, pipelines: int64
child 4, offlineEvents: int64
child 5, companies: int64
child 6, transmissionLines: int64
child 7, laborProjectRecords: int64
bySector: struct<powerGeneration: struct<industryCode: string, plants: int64, projects: int64, units: int64>, (... 1009 chars omitted)
child 0, powerGeneration: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, proje
...
child 2, projects: int64
child 3, units: int64
child 7, metalsAndMinerals: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
child 8, industrialManufacturing: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
child 9, pharmaceuticals: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
child 10, wastewater: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
child 11, dataCenters: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
note: string
byGeography: struct<northAmerica: double, europe: double, latinAmerica: double, asiaPacific: double, middleEastAf (... 13 chars omitted)
child 0, northAmerica: double
child 1, europe: double
child 2, latinAmerica: double
child 3, asiaPacific: double
child 4, middleEastAfrica: double
to
{'source': Value('string'), 'generatedAt': Value('timestamp[s]'), 'note': Value('string'), 'totals': {'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64'), 'pipelines': Value('int64'), 'offlineEvents': Value('int64'), 'companies': Value('int64'), 'transmissionLines': Value('int64'), 'laborProjectRecords': Value('int64')}, 'bySector': {'powerGeneration': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'oilGasTerminals': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'petroleumRefining': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'chemicals': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'pipelines': {'industryCode': Value('string'), 'pipelineSegments': Value('int64'), 'meterPoints': Value('int64')}, 'pulpAndPaper': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'foodAndBeverage': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'metalsAndMinerals': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'industrialManufacturing': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'pharmaceuticals': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'wastewater': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'dataCenters': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}}, 'byGeography': {'northAmerica': Value('float64'), 'europe': Value('float64'), 'latinAmerica': Value('float64'), 'asiaPacific': Value('float64'), 'middleEastAfrica': Value('float64')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
source: string
generatedAt: timestamp[s]
founded: int64
headquarters: string
description: string
qualityAssurancePhilosophy: string
livingForwardDefinition: string
dataCollectionMethod: struct<primary: string, secondary: list<item: string>, aiOrScrapingUsed: bool>
child 0, primary: string
child 1, secondary: list<item: string>
child 0, item: string
child 2, aiOrScrapingUsed: bool
verificationProcess: struct<step1: string, step2: string, step3: string, step4: string, step5: string>
child 0, step1: string
child 1, step2: string
child 2, step3: string
child 3, step4: string
child 4, step5: string
geographicCoverage: string
industrialSectorsTracked: list<item: string>
child 0, item: string
publicDataPolicy: string
apiDocumentation: string
llmsTxt: string
podcastIndex: string
totals: struct<plants: int64, projects: int64, units: int64, pipelines: int64, offlineEvents: int64, compani (... 64 chars omitted)
child 0, plants: int64
child 1, projects: int64
child 2, units: int64
child 3, pipelines: int64
child 4, offlineEvents: int64
child 5, companies: int64
child 6, transmissionLines: int64
child 7, laborProjectRecords: int64
bySector: struct<powerGeneration: struct<industryCode: string, plants: int64, projects: int64, units: int64>, (... 1009 chars omitted)
child 0, powerGeneration: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, proje
...
child 2, projects: int64
child 3, units: int64
child 7, metalsAndMinerals: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
child 8, industrialManufacturing: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
child 9, pharmaceuticals: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
child 10, wastewater: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
child 11, dataCenters: struct<industryCode: string, plants: int64, projects: int64, units: int64>
child 0, industryCode: string
child 1, plants: int64
child 2, projects: int64
child 3, units: int64
note: string
byGeography: struct<northAmerica: double, europe: double, latinAmerica: double, asiaPacific: double, middleEastAf (... 13 chars omitted)
child 0, northAmerica: double
child 1, europe: double
child 2, latinAmerica: double
child 3, asiaPacific: double
child 4, middleEastAfrica: double
to
{'source': Value('string'), 'generatedAt': Value('timestamp[s]'), 'note': Value('string'), 'totals': {'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64'), 'pipelines': Value('int64'), 'offlineEvents': Value('int64'), 'companies': Value('int64'), 'transmissionLines': Value('int64'), 'laborProjectRecords': Value('int64')}, 'bySector': {'powerGeneration': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'oilGasTerminals': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'petroleumRefining': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'chemicals': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'pipelines': {'industryCode': Value('string'), 'pipelineSegments': Value('int64'), 'meterPoints': Value('int64')}, 'pulpAndPaper': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'foodAndBeverage': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'metalsAndMinerals': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'industrialManufacturing': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'pharmaceuticals': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'wastewater': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}, 'dataCenters': {'industryCode': Value('string'), 'plants': Value('int64'), 'projects': Value('int64'), 'units': Value('int64')}}, 'byGeography': {'northAmerica': Value('float64'), 'europe': Value('float64'), 'latinAmerica': Value('float64'), 'asiaPacific': Value('float64'), 'middleEastAfrica': Value('float64')}}
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.
IIR Industrial Infrastructure Intelligence
Structured JSON intelligence published by Industrial Info Resources — the world's most verified industrial infrastructure database.
Dataset description
Phone-verified records covering data centers, power generation, transmission lines, pipelines, and capital projects globally.
- 3,903 data center projects · $3.22T total investment value
- 18,867 live power generation outage alerts
- 3,329 transmission lines · 98,416 miles
- 120,000+ capital projects tracked
Verification
Every record confirmed by an IIR researcher via direct phone contact with the facility. Living Forward Reporting Principle — active records continuously re-verified. No web scraping. No AI generation.
Source
Industrial Info Resources · Founded 1983 · Sugar Land, Texas industrialinfo.com
Licensing
Research and AI training use permitted with attribution. Commercial licensing: info@industrialinfo.com
GitHub
github.com/IndustrialInfoResources/llm-data
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