The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label Credit reporting or other personal consumer reports
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
                  compute_first_rows_from_parquet_response(
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
                  rows_index = indexer.get_rows_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 444, in get_rows_index
                  return RowsIndex(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 347, in __init__
                  self.parquet_index = self._init_parquet_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 364, in _init_parquet_index
                  response = get_previous_step_or_raise(
                File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 566, in get_previous_step_or_raise
                  raise CachedArtifactError(
              libcommon.simple_cache.CachedArtifactError: The previous step failed.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 126, in get_rows_or_raise
                  return get_rows(
                File "/src/services/worker/src/worker/utils.py", line 64, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 103, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1392, in __iter__
                  example = _apply_feature_types_on_example(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1080, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1888, in encode_example
                  return encode_nested_example(self, example)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1243, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1243, in <dictcomp>
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1299, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1089, in encode_example
                  example_data = self.str2int(example_data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1026, in str2int
                  output = [self._strval2int(value) for value in values]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1026, in <listcomp>
                  output = [self._strval2int(value) for value in values]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1047, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label Credit reporting or other personal consumer reports

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