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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 2 new columns ({'input_file', 'sha256'}) and 5 missing columns ({'numerator', 'window', 'value', 'denominator', 'check'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Namebeam/ai-visibility-daily-record/edition-1/EXPECTED_INPUTS.csv (at revision ea3cad9cea394af3991e87b09718a3bfd60b58b9), ['hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/EXPECTED_HEADLINES.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/EXPECTED_INPUTS.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/answers_2026-09-01_to_2026-10-13.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/answers_2026-09-01_to_2026-10-13_run_status.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/customer_zero_daily.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/customer_zero_hits.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/customer_zero_rolling.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/prompts.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/segment_pages_daily.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/segment_pages_rolling.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/siri_panel.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/sources_2026-09-01_to_2026-10-13.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/method/Brain_Kit/status/returns/COMET_1004/SERP_DRIFT_QUARANTINE_2026-10-04.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/method/Brain_Kit/status/staged/1005B_METRICS/metrics_v1_sept.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/metrics/metrics_v2.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/metrics/metrics_v2_inputs.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/metrics/metrics_v2_methods.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/metrics/panel_answers_2026-09-01_to_2026-10-13.csv']
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/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
input_file: string
sha256: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 510
to
{'check': Value('string'), 'window': Value('string'), 'numerator': Value('int64'), 'denominator': Value('int64'), 'value': Value('float64')}
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 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 2 new columns ({'input_file', 'sha256'}) and 5 missing columns ({'numerator', 'window', 'value', 'denominator', 'check'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Namebeam/ai-visibility-daily-record/edition-1/EXPECTED_INPUTS.csv (at revision ea3cad9cea394af3991e87b09718a3bfd60b58b9), ['hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/EXPECTED_HEADLINES.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/EXPECTED_INPUTS.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/answers_2026-09-01_to_2026-10-13.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/answers_2026-09-01_to_2026-10-13_run_status.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/customer_zero_daily.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/customer_zero_hits.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/customer_zero_rolling.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/prompts.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/segment_pages_daily.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/segment_pages_rolling.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/siri_panel.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/data/sources_2026-09-01_to_2026-10-13.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/method/Brain_Kit/status/returns/COMET_1004/SERP_DRIFT_QUARANTINE_2026-10-04.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/method/Brain_Kit/status/staged/1005B_METRICS/metrics_v1_sept.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/metrics/metrics_v2.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/metrics/metrics_v2_inputs.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/metrics/metrics_v2_methods.csv', 'hf://datasets/Namebeam/ai-visibility-daily-record@ea3cad9cea394af3991e87b09718a3bfd60b58b9/edition-1/metrics/panel_answers_2026-09-01_to_2026-10-13.csv']
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.
check string | window string | numerator int64 | denominator int64 | value float64 |
|---|---|---|---|---|
P.raw.perplexity | WA | 2,398 | 5,486 | 0.437113 |
P.raw.perplexity | WB | 382 | 1,411 | 0.27073 |
P.gated.perplexity | WA | 1,750 | 2,795 | 0.626118 |
P.gated.perplexity | WB | 267 | 772 | 0.345855 |
KC.page.answers | 2026-09-28..2026-10-07 | 9 | 8 | null |
KC.page.answers | 2026-09-28..2026-10-13 | 9 | 8 | null |
null | null | null | null | null |
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End of preview.
Namebeam AI Visibility Record, Edition 1
A dated record of which businesses AI answer engines name for local questions in US markets, with the sources the engines returned.
- Coverage: 2026-09-01 to 2026-10-13 (42 run days). Released 2026-10-15. Edition 1 (final).
- Size: 12,180 answer rows (one per raw answer file; names each engine returned; SHA-256 of the raw file), 45,637 source URL rows, 28 rows from a hand-run Siri panel, and a metrics table giving the denominator for every figure.
- Engines: Perplexity, OpenAI, Anthropic and Gemini via their programming interfaces; Google results pages read directly.
- Integrity: every file is listed in a SHA-256 manifest, and a verify script checks the pack.
Files (GitHub release, source of truth)
Release folder: https://github.com/mrcrtr1979-droid/namebeam-visibility-index/tree/main/releases/edition-1
Checked 2026-10-24: the answers CSV returns HTTP 200. Re-check all seven URLs before upload.
Licence scope
CC BY 4.0 covers the compilation (selection, arrangement and structure of the tables), the code, annotations, derived columns and documentation. The raw answer text returned by OpenAI, Anthropic, Google Gemini and Perplexity, and the search result rows, are published as dated factual records and are not licensed by Namebeam; provider terms may apply. Credit line: Namebeam AI Visibility Record, Edition 1 (Carter Enterprise LLC), CC BY 4.0. A credit-free commercial licence is $540, paid once: https://markets.namebeam.ai/buy/#edition-license
How to cite
Carter Enterprise LLC (Namebeam). Namebeam AI Visibility Record, Edition 1 (2026). Coverage 2026-09-01 to 2026-10-13. https://markets.namebeam.ai/edition-1/ DOI: 10.5281/zenodo.23626831 (Zenodo record 23626831, version edition-1, published 2026-10-24).
Limits
- Each row is one fixed question on one date to one engine. A missing row means a failed or empty call, not an engine that named no business. Do not treat counts as a rate without the metrics table denominator.
- One market set and one question per business; this is a measurement of observed answers, not of ranking factors.
Namebeam, a Carter Enterprise property. This is the first leg. Contact: terry@namebeam.ai
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