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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
text: string
stride: int64
query_rope_mode: string
shards: list<item: struct<rows: int64, shard: int64>>
  child 0, item: struct<rows: int64, shard: int64>
      child 0, rows: int64
      child 1, shard: int64
total_rows: int64
created_utc: string
posterior_fields: list<item: string>
  child 0, item: string
dataset_size: int64
dtype: string
schema_version: int64
lam_checkpoint: struct<path: string, sha256: string>
  child 0, path: string
  child 1, sha256: string
split: string
normalization_stats: struct<posterior_mean: string, sampled_z: string>
  child 0, posterior_mean: string
  child 1, sampled_z: string
query_codec: struct<kind: string, path: string, sha256: string, source_query_cache: string, source_query_dim: int (... 3 chars omitted)
  child 0, kind: string
  child 1, path: string
  child 2, sha256: string
  child 3, source_query_cache: string
  child 4, source_query_dim: int64
query_dim: int64
posterior_logvar_pattern: string
nshard: int64
num_queries: int64
bridge_lora_init: struct<path: string, sha256: string>
  child 0, path: string
  child 1, sha256: string
to
{'bridge_lora_init': {'path': Value('string'), 'sha256': Value('string')}, 'created_utc': Value('string'), 'dataset_size': Value('int64'), 'dtype': Value('string'), 'lam_checkpoint': {'path': Value('string'), 'sha256': Value('string')}, 'normalization_stats': {'posterior_mean': Value('string'), 'sampled_z': Value('string')}, 'nshard': Value('int64'), 'num_queries': Value('int64'), 'posterior_fields': List(Value('string')), 'posterior_logvar_pattern': Value('string'), 'query_codec': {'kind': Value('string'), 'path': Value('string'), 'sha256': Value('string'), 'source_query_cache': Value('string'), 'source_query_dim': Value('int64')}, 'query_dim': Value('int64'), 'query_rope_mode': Value('string'), 'schema_version': Value('int64'), 'shards': List({'rows': Value('int64'), 'shard': Value('int64')}), 'split': Value('string'), 'stride': Value('int64'), 'total_rows': Value('int64')}
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
              text: string
              stride: int64
              query_rope_mode: string
              shards: list<item: struct<rows: int64, shard: int64>>
                child 0, item: struct<rows: int64, shard: int64>
                    child 0, rows: int64
                    child 1, shard: int64
              total_rows: int64
              created_utc: string
              posterior_fields: list<item: string>
                child 0, item: string
              dataset_size: int64
              dtype: string
              schema_version: int64
              lam_checkpoint: struct<path: string, sha256: string>
                child 0, path: string
                child 1, sha256: string
              split: string
              normalization_stats: struct<posterior_mean: string, sampled_z: string>
                child 0, posterior_mean: string
                child 1, sampled_z: string
              query_codec: struct<kind: string, path: string, sha256: string, source_query_cache: string, source_query_dim: int (... 3 chars omitted)
                child 0, kind: string
                child 1, path: string
                child 2, sha256: string
                child 3, source_query_cache: string
                child 4, source_query_dim: int64
              query_dim: int64
              posterior_logvar_pattern: string
              nshard: int64
              num_queries: int64
              bridge_lora_init: struct<path: string, sha256: string>
                child 0, path: string
                child 1, sha256: string
              to
              {'bridge_lora_init': {'path': Value('string'), 'sha256': Value('string')}, 'created_utc': Value('string'), 'dataset_size': Value('int64'), 'dtype': Value('string'), 'lam_checkpoint': {'path': Value('string'), 'sha256': Value('string')}, 'normalization_stats': {'posterior_mean': Value('string'), 'sampled_z': Value('string')}, 'nshard': Value('int64'), 'num_queries': Value('int64'), 'posterior_fields': List(Value('string')), 'posterior_logvar_pattern': Value('string'), 'query_codec': {'kind': Value('string'), 'path': Value('string'), 'sha256': Value('string'), 'source_query_cache': Value('string'), 'source_query_dim': Value('int64')}, 'query_dim': Value('int64'), 'query_rope_mode': Value('string'), 'schema_version': Value('int64'), 'shards': List({'rows': Value('int64'), 'shard': Value('int64')}), 'split': Value('string'), 'stride': Value('int64'), 'total_rows': Value('int64')}
              because column names don't match

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