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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
source_row_count: int64
resolved_notice_count: int64
cleared_notice_count: int64
rejected_notice_count: int64
cleared_energy_kwh: int64
end_utc: timestamp[s]
power_kw: int64
notice_id: string
region: string
band_mhz: int64
site_id: string
service: string
start_utc: timestamp[s]
to
{'notice_id': Value('string'), 'site_id': Value('string'), 'region': Value('string'), 'service': Value('string'), 'start_utc': Value('timestamp[s]'), 'end_utc': Value('timestamp[s]'), 'band_mhz': Value('int64'), 'power_kw': Value('int64')}
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
              source_row_count: int64
              resolved_notice_count: int64
              cleared_notice_count: int64
              rejected_notice_count: int64
              cleared_energy_kwh: int64
              end_utc: timestamp[s]
              power_kw: int64
              notice_id: string
              region: string
              band_mhz: int64
              site_id: string
              service: string
              start_utc: timestamp[s]
              to
              {'notice_id': Value('string'), 'site_id': Value('string'), 'region': Value('string'), 'service': Value('string'), 'start_utc': Value('timestamp[s]'), 'end_utc': Value('timestamp[s]'), 'band_mhz': Value('int64'), 'power_kw': Value('int64')}
              because column names don't match

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Coastal Spectrum Clearances

This release records deterministic public transmission clearances for the October coastal operating window.

Measure Value
Source notice rows 13
Resolved notices 12
Cleared notices 3
Rejected notices 9
Cleared energy (kWh) 31

The data is supplied as clearance outcomes rather than live spectrum assignments.

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