Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
request_id: string
queue_position: int64
allocation_line: int64
program: string
item: string
priority: string
lot_id: string
expires_on: string
units_allocated: int64
vs
lot_id: string
item: string
category: string
expires_on: string
starting_units: int64
stock_decision: string
stock_reason: string
allocated_units: int64
remaining_units: int64
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4523, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2768, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 591, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5012, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
request_id: string
queue_position: int64
allocation_line: int64
program: string
item: string
priority: string
lot_id: string
expires_on: string
units_allocated: int64
vs
lot_id: string
item: string
category: string
expires_on: string
starting_units: int64
stock_decision: string
stock_reason: string
allocated_units: int64
remaining_units: int64Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Morning pantry allocation
Release: morning-2026-09-29
Catalog items: 5
Physical stock lots: 7
Eligible stock lots: 4
Starting eligible units: 26
Physical requests audited: 11
Queued requests: 3
Rejected requests: 8
Fully filled requests: 2
Partially filled requests: 1
Allocated units: 19
Remaining eligible units: 7
Allocations use priority ordering followed by first-expiring-first-out stock consumption.
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