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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
total: int64
as_of_date: timestamp[s]
by_priority: struct<high: int64, medium: int64, low: int64>
  child 0, high: int64
  child 1, medium: int64
  child 2, low: int64
by_status: struct<open: int64, in_progress: int64, closed: int64>
  child 0, open: int64
  child 1, in_progress: int64
  child 2, closed: int64
by_sla_status: struct<within_sla: int64, overdue: int64, resolved: int64>
  child 0, within_sla: int64
  child 1, overdue: int64
  child 2, resolved: int64
overdue_count: int64
critical_count: int64
catalog: string
dataset_id: string
sla_policy: struct<high: int64, medium: int64, low: int64>
  child 0, high: int64
  child 1, medium: int64
  child 2, low: int64
task: string
to
{'dataset_id': Value('string'), 'catalog': Value('string'), 'task': Value('string'), 'as_of_date': Value('timestamp[s]'), 'sla_policy': {'high': Value('int64'), 'medium': Value('int64'), 'low': Value('int64')}}
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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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/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
              total: int64
              as_of_date: timestamp[s]
              by_priority: struct<high: int64, medium: int64, low: int64>
                child 0, high: int64
                child 1, medium: int64
                child 2, low: int64
              by_status: struct<open: int64, in_progress: int64, closed: int64>
                child 0, open: int64
                child 1, in_progress: int64
                child 2, closed: int64
              by_sla_status: struct<within_sla: int64, overdue: int64, resolved: int64>
                child 0, within_sla: int64
                child 1, overdue: int64
                child 2, resolved: int64
              overdue_count: int64
              critical_count: int64
              catalog: string
              dataset_id: string
              sla_policy: struct<high: int64, medium: int64, low: int64>
                child 0, high: int64
                child 1, medium: int64
                child 2, low: int64
              task: string
              to
              {'dataset_id': Value('string'), 'catalog': Value('string'), 'task': Value('string'), 'as_of_date': Value('timestamp[s]'), 'sla_policy': {'high': Value('int64'), 'medium': Value('int64'), 'low': Value('int64')}}
              because column names don't match

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Support Tickets (Derived)

  • Dataset ID: DRV-TICKETS
  • Catalog: CUSTOMER-FEEDBACK-ANALYTICS
  • Records: 26000

Provenance

This dataset was derived from the following upstream source datasets:

  • TianfuXinqu/github_fetch_huggingface_terminal_9153_q7m3k9_src_beta
  • TianfuXinqu/github_fetch_huggingface_terminal_9153_q7m3k9_src_delta

License

License: TBD — reuse terms are under review and will be finalized shortly.

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