Datasets:

---

Noothi

/

telugu-indicf5-evaluation-v2

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
total_samples: int64
stt_engine: string
stt_language: string
stt_mode: string
average_raw_wer: double
average_normalized_wer: double
average_raw_cer: double
average_normalized_cer: double
average_speaker_similarity: double
language_mismatch_count: int64
detailed_results: list<item: struct<id: int64, original_text: string, transcribed_text: string, detected_language: str (... 216 chars omitted)
  child 0, item: struct<id: int64, original_text: string, transcribed_text: string, detected_language: string, langua (... 204 chars omitted)
      child 0, id: int64
      child 1, original_text: string
      child 2, transcribed_text: string
      child 3, detected_language: string
      child 4, language_probability: double
      child 5, normalized_original_text: string
      child 6, normalized_transcribed_text: string
      child 7, raw_wer: double
      child 8, normalized_wer: double
      child 9, raw_cer: double
      child 10, normalized_cer: double
      child 11, speaker_similarity: double
to
{'total_samples': Value('int64'), 'average_raw_wer': Value('float64'), 'average_normalized_wer': Value('float64'), 'average_raw_cer': Value('float64'), 'average_normalized_cer': Value('float64'), 'average_speaker_similarity': Value('float64'), 'detailed_results': List({'id': Value('int64'), 'original_text': Value('string'), 'transcribed_text': Value('string'), 'normalized_original_text': Value('string'), 'normalized_transcribed_text': Value('string'), 'raw_wer': Value('float64'), 'normalized_wer': Value('float64'), 'raw_cer': Value('float64'), 'normalized_cer': Value('float64'), 'speaker_similarity': Value('float64')})}
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
              total_samples: int64
              stt_engine: string
              stt_language: string
              stt_mode: string
              average_raw_wer: double
              average_normalized_wer: double
              average_raw_cer: double
              average_normalized_cer: double
              average_speaker_similarity: double
              language_mismatch_count: int64
              detailed_results: list<item: struct<id: int64, original_text: string, transcribed_text: string, detected_language: str (... 216 chars omitted)
                child 0, item: struct<id: int64, original_text: string, transcribed_text: string, detected_language: string, langua (... 204 chars omitted)
                    child 0, id: int64
                    child 1, original_text: string
                    child 2, transcribed_text: string
                    child 3, detected_language: string
                    child 4, language_probability: double
                    child 5, normalized_original_text: string
                    child 6, normalized_transcribed_text: string
                    child 7, raw_wer: double
                    child 8, normalized_wer: double
                    child 9, raw_cer: double
                    child 10, normalized_cer: double
                    child 11, speaker_similarity: double
              to
              {'total_samples': Value('int64'), 'average_raw_wer': Value('float64'), 'average_normalized_wer': Value('float64'), 'average_raw_cer': Value('float64'), 'average_normalized_cer': Value('float64'), 'average_speaker_similarity': Value('float64'), 'detailed_results': List({'id': Value('int64'), 'original_text': Value('string'), 'transcribed_text': Value('string'), 'normalized_original_text': Value('string'), 'normalized_transcribed_text': Value('string'), 'raw_wer': Value('float64'), 'normalized_wer': Value('float64'), 'raw_cer': Value('float64'), 'normalized_cer': Value('float64'), 'speaker_similarity': Value('float64')})}
              because column names don't match