Datasets:

---

JinchuanTian

/

data_part5

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
original_file_path: string
utt_id: string
doc_id: string
start_time: null
end_time: null
data_type: string
bin_index: int64
path: string
start_byte_offset: int64
file_size_bytes: int64
sample_rate: int64
channels: int64
length: int64
format: string
bit_depth: int64
original_size: null
compression_ratio: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2293
to
{'utt_id': Value('string'), 'data_type': Value('string'), 'original_file_path': Value('string'), 'bin_index': Value('int64'), 'path': Value('string'), 'start_byte_offset': Value('int64'), 'file_size_bytes': Value('int64'), 'sample_rate': Value('int64'), 'channels': Value('int64'), 'length': Value('int64'), 'format': Value('string'), 'bit_depth': Value('int64'), 'original_size': Value('null'), 'compression_ratio': Value('null')}
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 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, 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 479, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, 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 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, 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
              original_file_path: string
              utt_id: string
              doc_id: string
              start_time: null
              end_time: null
              data_type: string
              bin_index: int64
              path: string
              start_byte_offset: int64
              file_size_bytes: int64
              sample_rate: int64
              channels: int64
              length: int64
              format: string
              bit_depth: int64
              original_size: null
              compression_ratio: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2293
              to
              {'utt_id': Value('string'), 'data_type': Value('string'), 'original_file_path': Value('string'), 'bin_index': Value('int64'), 'path': Value('string'), 'start_byte_offset': Value('int64'), 'file_size_bytes': Value('int64'), 'sample_rate': Value('int64'), 'channels': Value('int64'), 'length': Value('int64'), 'format': Value('string'), 'bit_depth': Value('int64'), 'original_size': Value('null'), 'compression_ratio': Value('null')}
              because column names don't match