Datasets:

---

Native-ML

/

SmaulData

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
examples_iterable: struct<examples_iterable: struct<shard_idx: int64, shard_example_idx: int64, type: string>, previous (... 174 chars omitted)
  child 0, examples_iterable: struct<shard_idx: int64, shard_example_idx: int64, type: string>
      child 0, shard_idx: int64
      child 1, shard_example_idx: int64
      child 2, type: string
  child 1, previous_state: struct<shard_idx: int64, shard_example_idx: int64, type: string>
      child 0, shard_idx: int64
      child 1, shard_example_idx: int64
      child 2, type: string
  child 2, batch_idx: int64
  child 3, num_chunks_since_previous_state: int64
  child 4, cropped_chunk_length: int64
  child 5, type: string
epoch: int64
completed_shards: list<item: struct<file: string, rows: int64>>
  child 0, item: struct<file: string, rows: int64>
      child 0, file: string
      child 1, rows: int64
updated_at: timestamp[s]
compression_level: int64
status: string
completed_rows: int64
config: null
max_rows_per_dataset: int64
repo: string
name: string
destination_repo: string
compression: string
split: string
to
{'name': Value('string'), 'repo': Value('string'), 'config': Value('null'), 'split': Value('string'), 'completed_rows': Value('int64'), 'completed_shards': List({'file': Value('string'), 'rows': Value('int64')}), 'destination_repo': Value('string'), 'status': Value('string'), 'compression': Value('string'), 'compression_level': Value('int64'), 'max_rows_per_dataset': Value('int64'), 'updated_at': Value('timestamp[s]')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              examples_iterable: struct<examples_iterable: struct<shard_idx: int64, shard_example_idx: int64, type: string>, previous (... 174 chars omitted)
                child 0, examples_iterable: struct<shard_idx: int64, shard_example_idx: int64, type: string>
                    child 0, shard_idx: int64
                    child 1, shard_example_idx: int64
                    child 2, type: string
                child 1, previous_state: struct<shard_idx: int64, shard_example_idx: int64, type: string>
                    child 0, shard_idx: int64
                    child 1, shard_example_idx: int64
                    child 2, type: string
                child 2, batch_idx: int64
                child 3, num_chunks_since_previous_state: int64
                child 4, cropped_chunk_length: int64
                child 5, type: string
              epoch: int64
              completed_shards: list<item: struct<file: string, rows: int64>>
                child 0, item: struct<file: string, rows: int64>
                    child 0, file: string
                    child 1, rows: int64
              updated_at: timestamp[s]
              compression_level: int64
              status: string
              completed_rows: int64
              config: null
              max_rows_per_dataset: int64
              repo: string
              name: string
              destination_repo: string
              compression: string
              split: string
              to
              {'name': Value('string'), 'repo': Value('string'), 'config': Value('null'), 'split': Value('string'), 'completed_rows': Value('int64'), 'completed_shards': List({'file': Value('string'), 'rows': Value('int64')}), 'destination_repo': Value('string'), 'status': Value('string'), 'compression': Value('string'), 'compression_level': Value('int64'), 'max_rows_per_dataset': Value('int64'), 'updated_at': Value('timestamp[s]')}
              because column names don't match