Datasets:

---

Claudius-Caesar

/

Pluto-AI-Processed-Data

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
documents: int64
tokenized_tokens: int64
sequences: int64
discarded_tokens: int64
index_offset_dtype: string
total_sequences: int64
split: string
format: string
total_tokens: int64
dataset_mode: string
context_length: int64
tokens_per_shard: int64
num_shards: int64
token_dtype: string
shards: list<item: struct<shard: string, tokens: int64, sequences: int64, token_file: string, index_file: st (... 27 chars omitted)
  child 0, item: struct<shard: string, tokens: int64, sequences: int64, token_file: string, index_file: string, token (... 15 chars omitted)
      child 0, shard: string
      child 1, tokens: int64
      child 2, sequences: int64
      child 3, token_file: string
      child 4, index_file: string
      child 5, token_dtype: string
index_length_dtype: string
to
{'format': Value('string'), 'dataset_mode': Value('string'), 'split': Value('string'), 'context_length': Value('int64'), 'tokens_per_shard': Value('int64'), 'total_tokens': Value('int64'), 'total_sequences': Value('int64'), 'num_shards': Value('int64'), 'token_dtype': Value('string'), 'index_offset_dtype': Value('string'), 'index_length_dtype': Value('string'), 'shards': List({'shard': Value('string'), 'tokens': Value('int64'), 'sequences': Value('int64'), 'token_file': Value('string'), 'index_file': Value('string'), 'token_dtype': Value('string')})}
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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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
              documents: int64
              tokenized_tokens: int64
              sequences: int64
              discarded_tokens: int64
              index_offset_dtype: string
              total_sequences: int64
              split: string
              format: string
              total_tokens: int64
              dataset_mode: string
              context_length: int64
              tokens_per_shard: int64
              num_shards: int64
              token_dtype: string
              shards: list<item: struct<shard: string, tokens: int64, sequences: int64, token_file: string, index_file: st (... 27 chars omitted)
                child 0, item: struct<shard: string, tokens: int64, sequences: int64, token_file: string, index_file: string, token (... 15 chars omitted)
                    child 0, shard: string
                    child 1, tokens: int64
                    child 2, sequences: int64
                    child 3, token_file: string
                    child 4, index_file: string
                    child 5, token_dtype: string
              index_length_dtype: string
              to
              {'format': Value('string'), 'dataset_mode': Value('string'), 'split': Value('string'), 'context_length': Value('int64'), 'tokens_per_shard': Value('int64'), 'total_tokens': Value('int64'), 'total_sequences': Value('int64'), 'num_shards': Value('int64'), 'token_dtype': Value('string'), 'index_offset_dtype': Value('string'), 'index_length_dtype': Value('string'), 'shards': List({'shard': Value('string'), 'tokens': Value('int64'), 'sequences': Value('int64'), 'token_file': Value('string'), 'index_file': Value('string'), 'token_dtype': Value('string')})}
              because column names don't match