Dataset Viewer
Auto-converted to Parquet Duplicate
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
receipt_source_code: string
order_date: string
to_status: string
to_source_org: string
to_destination_org: string
to_number: string
created_by: string
to_interface_status: string
to_fulfillment_status: string
to_rq_dlv_date: string
to_sch_ship_date: string
to_last_update: string
shipment_header_id: string
shipment_number: string
gl_date: string
expected_receipt_date: string
act_shipped_date: string
rcv_input_by: string
reserve_status: string
no_pickwave: string
to_lines: string
rcv_lines: string
item_number: string
item_desc: string
lot_number: string
requested_amount: null
shipped_qty: string
received_qty: string
intransit_exp_qty: string
uom_code: string
status: string
itol_header: string
itol_rq_qty: string
interface_status_lookup: string
delivered_qty: string
to_creation_date: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4833
to
{'id': Value('int64'), 'sql_url': Value('string'), 'target_table': Value('string'), 'date_column': Value('string'), 'date_filter_pattern': Value('string'), 'is_active': Value('bool'), 'created_at': Value('string'), 'cursor_date': Value('string'), 'lookback_days': Value('int64'), 'first_fill_date': Value('string')}
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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              receipt_source_code: string
              order_date: string
              to_status: string
              to_source_org: string
              to_destination_org: string
              to_number: string
              created_by: string
              to_interface_status: string
              to_fulfillment_status: string
              to_rq_dlv_date: string
              to_sch_ship_date: string
              to_last_update: string
              shipment_header_id: string
              shipment_number: string
              gl_date: string
              expected_receipt_date: string
              act_shipped_date: string
              rcv_input_by: string
              reserve_status: string
              no_pickwave: string
              to_lines: string
              rcv_lines: string
              item_number: string
              item_desc: string
              lot_number: string
              requested_amount: null
              shipped_qty: string
              received_qty: string
              intransit_exp_qty: string
              uom_code: string
              status: string
              itol_header: string
              itol_rq_qty: string
              interface_status_lookup: string
              delivered_qty: string
              to_creation_date: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4833
              to
              {'id': Value('int64'), 'sql_url': Value('string'), 'target_table': Value('string'), 'date_column': Value('string'), 'date_filter_pattern': Value('string'), 'is_active': Value('bool'), 'created_at': Value('string'), 'cursor_date': Value('string'), 'lookback_days': Value('int64'), 'first_fill_date': Value('string')}
              because column names don't match

Need 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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