Datasets:

---

Lundii

/

pact_place_corridor_v5

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
config_sha256: string
episode_id: string
initial_observation_accepted: bool
initial_robot_environment_contacts: list<item: null>
  child 0, item: null
retry_index: int64
row_sha256: string
schema_version: string
seed: struct<seed_u32: int64, seed_u64: double>
  child 0, seed_u32: int64
  child 1, seed_u64: double
n_frozen_rows: int64
n_seed_reproduced: int64
divergences: list<item: null>
  child 0, item: null
next_action: string
source_collection_sha256: string
n_complete: int64
recovery_sha256: string
all_reproduced: bool
n_clean_success: int64
n_episode_steps_reproduced: int64
n_results: int64
training_authorized: bool
conversion_authorized: bool
output_root: string
n_reproduced: int64
n_requested: int64
to
{'all_reproduced': Value('bool'), 'config_sha256': Value('string'), 'conversion_authorized': Value('bool'), 'divergences': List(Value('null')), 'n_clean_success': Value('int64'), 'n_complete': Value('int64'), 'n_episode_steps_reproduced': Value('int64'), 'n_frozen_rows': Value('int64'), 'n_reproduced': Value('int64'), 'n_requested': Value('int64'), 'n_results': Value('int64'), 'n_seed_reproduced': Value('int64'), 'next_action': Value('string'), 'output_root': Value('string'), 'recovery_sha256': Value('string'), 'schema_version': Value('string'), 'source_collection_sha256': Value('string'), 'training_authorized': Value('bool')}
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
              config_sha256: string
              episode_id: string
              initial_observation_accepted: bool
              initial_robot_environment_contacts: list<item: null>
                child 0, item: null
              retry_index: int64
              row_sha256: string
              schema_version: string
              seed: struct<seed_u32: int64, seed_u64: double>
                child 0, seed_u32: int64
                child 1, seed_u64: double
              n_frozen_rows: int64
              n_seed_reproduced: int64
              divergences: list<item: null>
                child 0, item: null
              next_action: string
              source_collection_sha256: string
              n_complete: int64
              recovery_sha256: string
              all_reproduced: bool
              n_clean_success: int64
              n_episode_steps_reproduced: int64
              n_results: int64
              training_authorized: bool
              conversion_authorized: bool
              output_root: string
              n_reproduced: int64
              n_requested: int64
              to
              {'all_reproduced': Value('bool'), 'config_sha256': Value('string'), 'conversion_authorized': Value('bool'), 'divergences': List(Value('null')), 'n_clean_success': Value('int64'), 'n_complete': Value('int64'), 'n_episode_steps_reproduced': Value('int64'), 'n_frozen_rows': Value('int64'), 'n_reproduced': Value('int64'), 'n_requested': Value('int64'), 'n_results': Value('int64'), 'n_seed_reproduced': Value('int64'), 'next_action': Value('string'), 'output_root': Value('string'), 'recovery_sha256': Value('string'), 'schema_version': Value('string'), 'source_collection_sha256': Value('string'), 'training_authorized': Value('bool')}
              because column names don't match