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
name: string
-- field metadata --
PARQUET:field_id: '1'
snapshots: string
-- field metadata --
PARQUET:field_id: '2'
start_at: string
-- field metadata --
PARQUET:field_id: '3'
end_at: string
-- field metadata --
PARQUET:field_id: '4'
plan_id: string
-- field metadata --
PARQUET:field_id: '5'
previous_plan_id: string
-- field metadata --
PARQUET:field_id: '6'
expiration_ts: int64
-- field metadata --
PARQUET:field_id: '7'
finalized_ts: int64
-- field metadata --
PARQUET:field_id: '8'
promoted_snapshot_ids: string
-- field metadata --
PARQUET:field_id: '9'
suffix_target: string
-- field metadata --
PARQUET:field_id: '10'
catalog_name_override: string
-- field metadata --
PARQUET:field_id: '11'
previous_finalized_snapshots: string
-- field metadata --
PARQUET:field_id: '12'
normalize_name: bool
-- field metadata --
PARQUET:field_id: '13'
requirements: string
-- field metadata --
PARQUET:field_id: '14'
gateway_managed: bool
-- field metadata --
PARQUET:field_id: '15'
_ducklake_internal_row_id: int64
-- field metadata --
PARQUET:field_id: '2147483540'
to
{'name': Value('string'), 'snapshots': Value('string'), 'start_at': Value('string'), 'end_at': Value('string'), 'plan_id': Value('string'), 'previous_plan_id': Value('string'), 'expiration_ts': Value('int64'), 'finalized_ts': Value('int64'), 'promoted_snapshot_ids': Value('string'), 'suffix_target': Value('string'), 'catalog_name_override': Value('string'), 'previous_finalized_snapshots': Value('string'), 'normalize_name': Value('bool'), 'requirements': Value('string'), 'gateway_managed': Value('bool')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2674, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2232, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 483, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 209, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
name: string
-- field metadata --
PARQUET:field_id: '1'
snapshots: string
-- field metadata --
PARQUET:field_id: '2'
start_at: string
-- field metadata --
PARQUET:field_id: '3'
end_at: string
-- field metadata --
PARQUET:field_id: '4'
plan_id: string
-- field metadata --
PARQUET:field_id: '5'
previous_plan_id: string
-- field metadata --
PARQUET:field_id: '6'
expiration_ts: int64
-- field metadata --
PARQUET:field_id: '7'
finalized_ts: int64
-- field metadata --
PARQUET:field_id: '8'
promoted_snapshot_ids: string
-- field metadata --
PARQUET:field_id: '9'
suffix_target: string
-- field metadata --
PARQUET:field_id: '10'
catalog_name_override: string
-- field metadata --
PARQUET:field_id: '11'
previous_finalized_snapshots: string
-- field metadata --
PARQUET:field_id: '12'
normalize_name: bool
-- field metadata --
PARQUET:field_id: '13'
requirements: string
-- field metadata --
PARQUET:field_id: '14'
gateway_managed: bool
-- field metadata --
PARQUET:field_id: '15'
_ducklake_internal_row_id: int64
-- field metadata --
PARQUET:field_id: '2147483540'
to
{'name': Value('string'), 'snapshots': Value('string'), 'start_at': Value('string'), 'end_at': Value('string'), 'plan_id': Value('string'), 'previous_plan_id': Value('string'), 'expiration_ts': Value('int64'), 'finalized_ts': Value('int64'), 'promoted_snapshot_ids': Value('string'), 'suffix_target': Value('string'), 'catalog_name_override': Value('string'), 'previous_finalized_snapshots': Value('string'), 'normalize_name': Value('bool'), 'requirements': Value('string'), 'gateway_managed': Value('bool')}
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.
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