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
schema_version: int64
published_at_utc: string
releases: list<item: struct<schema_version: int64, archive: bool, release_id: string, issue_time_utc: timestam (... 3130 chars omitted)
child 0, item: struct<schema_version: int64, archive: bool, release_id: string, issue_time_utc: timestamp[s], runs: (... 3118 chars omitted)
child 0, schema_version: int64
child 1, archive: bool
child 2, release_id: string
child 3, issue_time_utc: timestamp[s]
child 4, runs: list<item: struct<lead_hours: int64, target_time_utc: timestamp[s], source_id: string, published_at_ (... 489 chars omitted)
child 0, item: struct<lead_hours: int64, target_time_utc: timestamp[s], source_id: string, published_at_utc: timest (... 477 chars omitted)
child 0, lead_hours: int64
child 1, target_time_utc: timestamp[s]
child 2, source_id: string
child 3, published_at_utc: timestamp[s]
child 4, overview: struct<image: struct<path: string, sha256: string, bytes: int64>, values: struct<path: string, sha25 (... 358 chars omitted)
child 0, image: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
child 1, values: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256:
...
unavailable_cells: int64
child 6, source_raw_sha256: string
child 7, source_summary_sha256: string
child 8, input_stack_sha256: string
child 9, boundary_sha256: string
child 10, native_metres: int64
child 11, original_cells_unchanged: bool
child 12, method: string
child 4, forecast: struct<path: string, sha256: string, bytes: int64, encoding: string, url: string>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
child 3, encoding: string
child 4, url: string
child 8, asset_base: string
scope: string
first_input_utc: timestamp[s]
windows: int64
last_input_utc: timestamp[s]
issues: int64
kind: string
months: list<item: struct<month: string, issues: int64, windows: int64, first_input_utc: timestamp[s], last_ (... 97 chars omitted)
child 0, item: struct<month: string, issues: int64, windows: int64, first_input_utc: timestamp[s], last_input_utc: (... 85 chars omitted)
child 0, month: string
child 1, issues: int64
child 2, windows: int64
child 3, first_input_utc: timestamp[s]
child 4, last_input_utc: timestamp[s]
child 5, asset: struct<path: string, sha256: string, bytes: int64, url: string>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
child 3, url: string
to
{'schema_version': Value('int64'), 'kind': Value('string'), 'issues': Value('int64'), 'windows': Value('int64'), 'first_input_utc': Value('timestamp[s]'), 'last_input_utc': Value('timestamp[s]'), 'months': List({'month': Value('string'), 'issues': Value('int64'), 'windows': Value('int64'), 'first_input_utc': Value('timestamp[s]'), 'last_input_utc': Value('timestamp[s]'), 'asset': {'path': Value('string'), 'sha256': Value('string'), 'bytes': Value('int64'), 'url': Value('string')}}), 'published_at_utc': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 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
schema_version: int64
published_at_utc: string
releases: list<item: struct<schema_version: int64, archive: bool, release_id: string, issue_time_utc: timestam (... 3130 chars omitted)
child 0, item: struct<schema_version: int64, archive: bool, release_id: string, issue_time_utc: timestamp[s], runs: (... 3118 chars omitted)
child 0, schema_version: int64
child 1, archive: bool
child 2, release_id: string
child 3, issue_time_utc: timestamp[s]
child 4, runs: list<item: struct<lead_hours: int64, target_time_utc: timestamp[s], source_id: string, published_at_ (... 489 chars omitted)
child 0, item: struct<lead_hours: int64, target_time_utc: timestamp[s], source_id: string, published_at_utc: timest (... 477 chars omitted)
child 0, lead_hours: int64
child 1, target_time_utc: timestamp[s]
child 2, source_id: string
child 3, published_at_utc: timestamp[s]
child 4, overview: struct<image: struct<path: string, sha256: string, bytes: int64>, values: struct<path: string, sha25 (... 358 chars omitted)
child 0, image: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
child 1, values: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256:
...
unavailable_cells: int64
child 6, source_raw_sha256: string
child 7, source_summary_sha256: string
child 8, input_stack_sha256: string
child 9, boundary_sha256: string
child 10, native_metres: int64
child 11, original_cells_unchanged: bool
child 12, method: string
child 4, forecast: struct<path: string, sha256: string, bytes: int64, encoding: string, url: string>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
child 3, encoding: string
child 4, url: string
child 8, asset_base: string
scope: string
first_input_utc: timestamp[s]
windows: int64
last_input_utc: timestamp[s]
issues: int64
kind: string
months: list<item: struct<month: string, issues: int64, windows: int64, first_input_utc: timestamp[s], last_ (... 97 chars omitted)
child 0, item: struct<month: string, issues: int64, windows: int64, first_input_utc: timestamp[s], last_input_utc: (... 85 chars omitted)
child 0, month: string
child 1, issues: int64
child 2, windows: int64
child 3, first_input_utc: timestamp[s]
child 4, last_input_utc: timestamp[s]
child 5, asset: struct<path: string, sha256: string, bytes: int64, url: string>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
child 3, url: string
to
{'schema_version': Value('int64'), 'kind': Value('string'), 'issues': Value('int64'), 'windows': Value('int64'), 'first_input_utc': Value('timestamp[s]'), 'last_input_utc': Value('timestamp[s]'), 'months': List({'month': Value('string'), 'issues': Value('int64'), 'windows': Value('int64'), 'first_input_utc': Value('timestamp[s]'), 'last_input_utc': Value('timestamp[s]'), 'asset': {'path': Value('string'), 'sha256': Value('string'), 'bytes': Value('int64'), 'url': Value('string')}}), 'published_at_utc': 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.
Fire-eye Forecast Preview
Published CONUS FireWx-FM forecasts from RAI Lab, using NOAA HRRR inputs. Four windows per issue: +12, +24, +36 and +48 hours.
Values describe modeled active-fire occupancy within each 12-hour window. The original issue and window timestamps are retained.
Each release is immutable and includes file checksums. latest.json points only to a verified release.
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