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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'validation' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
aligner_checkpoint: string
audio_column: string
default_language: string
dtype: string
duration_column: string
frame_base: string
id_column: string
language_column: null
lens_dtype: string
manifest: string
max_samples: null
num_kept: int64
num_rows_shard: int64
num_rows_total_manifest: int64
num_seen: int64
num_skipped: int64
num_txt_tokens_total: int64
num_words_total: int64
schema_version: string
shard_end: int64
shard_rank: int64
shard_start: int64
shard_total: int64
skip_reasons: struct<>
span_convention: string
speech_lens_dtype: string
speech_prefix: string
strict: bool
text_column: string
tokenizer_checkpoint: string
vs
add_special_tokens: bool
dtype: string
lens_dtype: string
num_tokens_total: int64
num_utts: int64
schema_version: string
source_alignment_prefix: string
tokenizer_checkpoint: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 604, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              aligner_checkpoint: string
              audio_column: string
              default_language: string
              dtype: string
              duration_column: string
              frame_base: string
              id_column: string
              language_column: null
              lens_dtype: string
              manifest: string
              max_samples: null
              num_kept: int64
              num_rows_shard: int64
              num_rows_total_manifest: int64
              num_seen: int64
              num_skipped: int64
              num_txt_tokens_total: int64
              num_words_total: int64
              schema_version: string
              shard_end: int64
              shard_rank: int64
              shard_start: int64
              shard_total: int64
              skip_reasons: struct<>
              span_convention: string
              speech_lens_dtype: string
              speech_prefix: string
              strict: bool
              text_column: string
              tokenizer_checkpoint: string
              vs
              add_special_tokens: bool
              dtype: string
              lens_dtype: string
              num_tokens_total: int64
              num_utts: int64
              schema_version: string
              source_alignment_prefix: string
              tokenizer_checkpoint: string

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