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
decision_id: string
machine: string
start_at: timestamp[s]
duration_minutes: int64
project_category: string
decision: string
reason: string
totals: struct<source_event_count: int64, approved_event_count: int64, cutoff_event_count: int64, resolved_r (... 113 chars omitted)
child 0, source_event_count: int64
child 1, approved_event_count: int64
child 2, cutoff_event_count: int64
child 3, resolved_request_count: int64
child 4, scheduled_request_count: int64
child 5, rejected_request_count: int64
child 6, release_cutoff: timestamp[s]
machines: list<item: struct<machine: string, capacity_minutes: int64, scheduled_minutes: int64, reservation_co (... 12 chars omitted)
child 0, item: struct<machine: string, capacity_minutes: int64, scheduled_minutes: int64, reservation_count: int64>
child 0, machine: string
child 1, capacity_minutes: int64
child 2, scheduled_minutes: int64
child 3, reservation_count: int64
to
{'machines': List({'machine': Value('string'), 'capacity_minutes': Value('int64'), 'scheduled_minutes': Value('int64'), 'reservation_count': Value('int64')}), 'totals': {'source_event_count': Value('int64'), 'approved_event_count': Value('int64'), 'cutoff_event_count': Value('int64'), 'resolved_request_count': Value('int64'), 'scheduled_request_count': Value('int64'), 'rejected_request_count': Value('int64'), 'release_cutoff': Value('timestamp[s]')}}
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
decision_id: string
machine: string
start_at: timestamp[s]
duration_minutes: int64
project_category: string
decision: string
reason: string
totals: struct<source_event_count: int64, approved_event_count: int64, cutoff_event_count: int64, resolved_r (... 113 chars omitted)
child 0, source_event_count: int64
child 1, approved_event_count: int64
child 2, cutoff_event_count: int64
child 3, resolved_request_count: int64
child 4, scheduled_request_count: int64
child 5, rejected_request_count: int64
child 6, release_cutoff: timestamp[s]
machines: list<item: struct<machine: string, capacity_minutes: int64, scheduled_minutes: int64, reservation_co (... 12 chars omitted)
child 0, item: struct<machine: string, capacity_minutes: int64, scheduled_minutes: int64, reservation_count: int64>
child 0, machine: string
child 1, capacity_minutes: int64
child 2, scheduled_minutes: int64
child 3, reservation_count: int64
to
{'machines': List({'machine': Value('string'), 'capacity_minutes': Value('int64'), 'scheduled_minutes': Value('int64'), 'reservation_count': Value('int64')}), 'totals': {'source_event_count': Value('int64'), 'approved_event_count': Value('int64'), 'cutoff_event_count': Value('int64'), 'resolved_request_count': Value('int64'), 'scheduled_request_count': Value('int64'), 'rejected_request_count': Value('int64'), 'release_cutoff': Value('timestamp[s]')}}
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.
Northline Open Day Machine Schedule
This privacy-safe release records the deterministic outcome of the open-day machine allocation.
- Resolved requests: 8
- Scheduled requests: 4
- Rejected requests: 4
- Decision cutoff: 2026-08-15T23:59:59Z
The source request ledger and requester keys are intentionally excluded.
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