Datasets:

---

Jane0227

/

pbrs-meeting-transcripts

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
case_key: string
case_id: null
round_no: int64
targets: list<item: null>
  child 0, item: null
file: string
source_audio_path: string
sha256: string
model: string
language: string
text: string
segments: list<item: struct<start: double, end: double, text: string>>
  child 0, item: struct<start: double, end: double, text: string>
      child 0, start: double
      child 1, end: double
      child 2, text: string
corrected_dialogue: list<item: struct<speaker: string, text: string>>
  child 0, item: struct<speaker: string, text: string>
      child 0, speaker: string
      child 1, text: string
corrected: bool
inferred: bool
correction_status: string
speaker_inference_method: string
corrected_by: string
corrected_at: string
source_audio: string
speakers_identified: list<item: string>
  child 0, item: string
source_evidence: struct<status: string>
  child 0, status: string
source_conflicts: list<item: null>
  child 0, item: null
review_marker: string
review_notice: string
to
{'case_key': Value('string'), 'case_id': Value('null'), 'round_no': Value('int64'), 'targets': List(Value('null')), 'file': Value('string'), 'source_audio_path': Value('string'), 'sha256': Value('string'), 'model': Value('string'), 'language': Value('string'), 'text': Value('string'), 'segments': List({'start': Value('float64'), 'end': Value('float64'), 'text': Value('string')}), 'corrected_dialogue': List({'speaker': Value('string'), 'text': Value('string'), 'start': Value('float64')}), 'corrected': Value('bool'), 'inferred': Value('bool'), 'correction_status': Value('string'), 'speaker_inference_method': Value('string'), 'corrected_by': Value('string'), 'corrected_at': Value('string'), 'source_audio': Value('string'), 'speakers_identified': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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/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 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
              case_key: string
              case_id: null
              round_no: int64
              targets: list<item: null>
                child 0, item: null
              file: string
              source_audio_path: string
              sha256: string
              model: string
              language: string
              text: string
              segments: list<item: struct<start: double, end: double, text: string>>
                child 0, item: struct<start: double, end: double, text: string>
                    child 0, start: double
                    child 1, end: double
                    child 2, text: string
              corrected_dialogue: list<item: struct<speaker: string, text: string>>
                child 0, item: struct<speaker: string, text: string>
                    child 0, speaker: string
                    child 1, text: string
              corrected: bool
              inferred: bool
              correction_status: string
              speaker_inference_method: string
              corrected_by: string
              corrected_at: string
              source_audio: string
              speakers_identified: list<item: string>
                child 0, item: string
              source_evidence: struct<status: string>
                child 0, status: string
              source_conflicts: list<item: null>
                child 0, item: null
              review_marker: string
              review_notice: string
              to
              {'case_key': Value('string'), 'case_id': Value('null'), 'round_no': Value('int64'), 'targets': List(Value('null')), 'file': Value('string'), 'source_audio_path': Value('string'), 'sha256': Value('string'), 'model': Value('string'), 'language': Value('string'), 'text': Value('string'), 'segments': List({'start': Value('float64'), 'end': Value('float64'), 'text': Value('string')}), 'corrected_dialogue': List({'speaker': Value('string'), 'text': Value('string'), 'start': Value('float64')}), 'corrected': Value('bool'), 'inferred': Value('bool'), 'correction_status': Value('string'), 'speaker_inference_method': Value('string'), 'corrected_by': Value('string'), 'corrected_at': Value('string'), 'source_audio': Value('string'), 'speakers_identified': List(Value('string'))}
              because column names don't match