Datasets:

---

manavtabbly

/

hindi_audio_dataset_test

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
youtube_id: string
youtube_url: string
original_file: string
audio: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
chunk_filename: string
start_ms: int64
end_ms: int64
duration_s: double
transcript_text: string
transcript_segments: list<element: struct<start: double, end: double, text: string, tokens: list<element: int64>>>
  child 0, element: struct<start: double, end: double, text: string, tokens: list<element: int64>>
      child 0, start: double
      child 1, end: double
      child 2, text: string
      child 3, tokens: list<element: int64>
          child 0, element: int64
model: string
transcribed_at: string
speaker_id: string
gender: string
district: string
state: string
task_name: string
to
{'youtube_url': Value('string'), 'youtube_id': Value('string'), 'original_file': Value('string'), 'audio': Audio(sampling_rate=16000, decode=True, stream_index=None), 'chunk_filename': Value('string'), 'start_ms': Value('int64'), 'end_ms': Value('int64'), 'duration_s': Value('float64'), 'transcript_text': Value('string'), 'transcript_segments': List({'avg_logprob': Value('float64'), 'compression_ratio': Value('float64'), 'end': Value('float64'), 'id': Value('int64'), 'no_speech_prob': Value('float64'), 'seek': Value('int64'), 'start': Value('float64'), 'temperature': Value('float64'), 'text': Value('string'), 'tokens': List(Value('int64'))}), 'model': Value('string'), 'transcribed_at': Value('string')}
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 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1975, 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 503, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, 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 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, 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
              youtube_id: string
              youtube_url: string
              original_file: string
              audio: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              chunk_filename: string
              start_ms: int64
              end_ms: int64
              duration_s: double
              transcript_text: string
              transcript_segments: list<element: struct<start: double, end: double, text: string, tokens: list<element: int64>>>
                child 0, element: struct<start: double, end: double, text: string, tokens: list<element: int64>>
                    child 0, start: double
                    child 1, end: double
                    child 2, text: string
                    child 3, tokens: list<element: int64>
                        child 0, element: int64
              model: string
              transcribed_at: string
              speaker_id: string
              gender: string
              district: string
              state: string
              task_name: string
              to
              {'youtube_url': Value('string'), 'youtube_id': Value('string'), 'original_file': Value('string'), 'audio': Audio(sampling_rate=16000, decode=True, stream_index=None), 'chunk_filename': Value('string'), 'start_ms': Value('int64'), 'end_ms': Value('int64'), 'duration_s': Value('float64'), 'transcript_text': Value('string'), 'transcript_segments': List({'avg_logprob': Value('float64'), 'compression_ratio': Value('float64'), 'end': Value('float64'), 'id': Value('int64'), 'no_speech_prob': Value('float64'), 'seek': Value('int64'), 'start': Value('float64'), 'temperature': Value('float64'), 'text': Value('string'), 'tokens': List(Value('int64'))}), 'model': Value('string'), 'transcribed_at': Value('string')}
              because column names don't match