Datasets:

---

NewSonnet

/

flychess-stockfish-50m

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
actions: int64
bytes: int64
features: int64
file: string
global_end: int64
global_start: int64
metadata_file: string
samples: int64
schema_version: string
sha256: string
shard_index: int64
storage: struct<action_indices: string, features: string, values: string>
  child 0, action_indices: string
  child 1, features: string
  child 2, values: string
completed_samples: int64
max_plies: int64
teacher: string
shards: list<item: struct<actions: int64, bytes: int64, features: int64, file: string, global_end: int64, gl (... 193 chars omitted)
  child 0, item: struct<actions: int64, bytes: int64, features: int64, file: string, global_end: int64, global_start: (... 181 chars omitted)
      child 0, actions: int64
      child 1, bytes: int64
      child 2, features: int64
      child 3, file: string
      child 4, global_end: int64
      child 5, global_start: int64
      child 6, metadata_file: string
      child 7, samples: int64
      child 8, schema_version: string
      child 9, sha256: string
      child 10, shard_index: int64
      child 11, storage: struct<action_indices: string, features: string, values: string>
          child 0, action_indices: string
          child 1, features: string
          child 2, values: string
complete: bool
position_sampler: string
seed: int64
completed_shards: int64
shard_size: int64
teacher_depth: int64
shard_count: int64
min_plies: int64
teacher_engine: string
samples_requested: int64
to
{'actions': Value('int64'), 'complete': Value('bool'), 'completed_samples': Value('int64'), 'completed_shards': Value('int64'), 'features': Value('int64'), 'max_plies': Value('int64'), 'min_plies': Value('int64'), 'position_sampler': Value('string'), 'samples_requested': Value('int64'), 'schema_version': Value('string'), 'seed': Value('int64'), 'shard_count': Value('int64'), 'shard_size': Value('int64'), 'shards': List({'actions': Value('int64'), 'bytes': Value('int64'), 'features': Value('int64'), 'file': Value('string'), 'global_end': Value('int64'), 'global_start': Value('int64'), 'metadata_file': Value('string'), 'samples': Value('int64'), 'schema_version': Value('string'), 'sha256': Value('string'), 'shard_index': Value('int64'), 'storage': {'action_indices': Value('string'), 'features': Value('string'), 'values': Value('string')}}), 'teacher': Value('string'), 'teacher_depth': Value('int64'), 'teacher_engine': 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
              actions: int64
              bytes: int64
              features: int64
              file: string
              global_end: int64
              global_start: int64
              metadata_file: string
              samples: int64
              schema_version: string
              sha256: string
              shard_index: int64
              storage: struct<action_indices: string, features: string, values: string>
                child 0, action_indices: string
                child 1, features: string
                child 2, values: string
              completed_samples: int64
              max_plies: int64
              teacher: string
              shards: list<item: struct<actions: int64, bytes: int64, features: int64, file: string, global_end: int64, gl (... 193 chars omitted)
                child 0, item: struct<actions: int64, bytes: int64, features: int64, file: string, global_end: int64, global_start: (... 181 chars omitted)
                    child 0, actions: int64
                    child 1, bytes: int64
                    child 2, features: int64
                    child 3, file: string
                    child 4, global_end: int64
                    child 5, global_start: int64
                    child 6, metadata_file: string
                    child 7, samples: int64
                    child 8, schema_version: string
                    child 9, sha256: string
                    child 10, shard_index: int64
                    child 11, storage: struct<action_indices: string, features: string, values: string>
                        child 0, action_indices: string
                        child 1, features: string
                        child 2, values: string
              complete: bool
              position_sampler: string
              seed: int64
              completed_shards: int64
              shard_size: int64
              teacher_depth: int64
              shard_count: int64
              min_plies: int64
              teacher_engine: string
              samples_requested: int64
              to
              {'actions': Value('int64'), 'complete': Value('bool'), 'completed_samples': Value('int64'), 'completed_shards': Value('int64'), 'features': Value('int64'), 'max_plies': Value('int64'), 'min_plies': Value('int64'), 'position_sampler': Value('string'), 'samples_requested': Value('int64'), 'schema_version': Value('string'), 'seed': Value('int64'), 'shard_count': Value('int64'), 'shard_size': Value('int64'), 'shards': List({'actions': Value('int64'), 'bytes': Value('int64'), 'features': Value('int64'), 'file': Value('string'), 'global_end': Value('int64'), 'global_start': Value('int64'), 'metadata_file': Value('string'), 'samples': Value('int64'), 'schema_version': Value('string'), 'sha256': Value('string'), 'shard_index': Value('int64'), 'storage': {'action_indices': Value('string'), 'features': Value('string'), 'values': Value('string')}}), 'teacher': Value('string'), 'teacher_depth': Value('int64'), 'teacher_engine': Value('string')}
              because column names don't match