Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
checkpoint_count: int64
checkpoints: list<item: struct<path: string, sha256: string, size_bytes: int64>>
child 0, item: struct<path: string, sha256: string, size_bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, size_bytes: int64
elapsed_seconds: double
evaluation_status: string
final100_touched: bool
horizon_length: int64
max_epochs: int64
not_information_matched_to_B1: bool
num_envs: int64
resumed_from: null
rollout_batch: int64
run_dir: string
run_name: string
runtime_contract: struct<action_num: int64, central_minibatch: int64, central_state_shape: list<item: int64>, central_ (... 386 chars omitted)
child 0, action_num: int64
child 1, central_minibatch: int64
child 2, central_state_shape: list<item: int64>
child 0, item: int64
child 3, central_value_net_state_shape: list<item: int64>
child 0, item: int64
child 4, formal_config_sha256: string
child 5, has_central_value: bool
child 6, horizon_length: int64
child 7, max_epochs: int64
child 8, num_envs: int64
child 9, policy_minibatch: int64
child 10, policy_observation_shape: list<item: int64>
child 0, item: int64
child 11, resume_checkpoint: null
child 12, rollout_batch: int64
child 13, seed: int64
child 14, task_sha256: string
child 15, teacher_final_checkpoint_sha256: string
child 16, teacher_runtime_config_sha256: string
scientific_role: string
seed: int64
status: string
formal_config_sha256: string
minibatch: int64
fresh_start: bool
deployable_final_method: bool
task_sha256: string
resume: null
dataset_a_read: bool
error: null
to
{'checkpoint_count': Value('int64'), 'checkpoints': List(Value('string')), 'dataset_a_read': Value('bool'), 'deployable_final_method': Value('bool'), 'elapsed_seconds': Value('float64'), 'error': Value('null'), 'final100_touched': Value('bool'), 'formal_config_sha256': Value('string'), 'fresh_start': Value('bool'), 'horizon_length': Value('int64'), 'max_epochs': Value('int64'), 'minibatch': Value('int64'), 'num_envs': Value('int64'), 'resume': Value('null'), 'rollout_batch': Value('int64'), 'run_dir': Value('string'), 'run_name': Value('string'), 'runtime_contract': {'action_num': Value('int64'), 'central_state_shape': List(Value('int64')), 'central_value_class': Value('string'), 'central_value_net_state_shape': List(Value('int64')), 'dataset_a_read': Value('bool'), 'diagnostic_only': Value('bool'), 'final100_touched': Value('bool'), 'formal_config_sha256': Value('string'), 'fresh_start': Value('bool'), 'has_central_value': Value('bool'), 'horizon_length': Value('int64'), 'max_epochs': Value('int64'), 'minibatch': Value('int64'), 'num_envs': Value('int64'), 'oracle_gt_relative_goal_dim': Value('int64'), 'original_b2_0_89d_preserved': Value('bool'), 'policy_model_class': Value('string'), 'policy_observation_shape': List(Value('int64')), 'resume': Value('null'), 'rollout_batch': Value('int64'), 'seed': Value('int64'), 'task_sha256': Value('string'), 'teacher_runtime_config_sha256': Value('string')}, 'scientific_role': Value('string'), 'seed': Value('int64'), 'status': Value('string'), 'task_sha256': 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
checkpoint_count: int64
checkpoints: list<item: struct<path: string, sha256: string, size_bytes: int64>>
child 0, item: struct<path: string, sha256: string, size_bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, size_bytes: int64
elapsed_seconds: double
evaluation_status: string
final100_touched: bool
horizon_length: int64
max_epochs: int64
not_information_matched_to_B1: bool
num_envs: int64
resumed_from: null
rollout_batch: int64
run_dir: string
run_name: string
runtime_contract: struct<action_num: int64, central_minibatch: int64, central_state_shape: list<item: int64>, central_ (... 386 chars omitted)
child 0, action_num: int64
child 1, central_minibatch: int64
child 2, central_state_shape: list<item: int64>
child 0, item: int64
child 3, central_value_net_state_shape: list<item: int64>
child 0, item: int64
child 4, formal_config_sha256: string
child 5, has_central_value: bool
child 6, horizon_length: int64
child 7, max_epochs: int64
child 8, num_envs: int64
child 9, policy_minibatch: int64
child 10, policy_observation_shape: list<item: int64>
child 0, item: int64
child 11, resume_checkpoint: null
child 12, rollout_batch: int64
child 13, seed: int64
child 14, task_sha256: string
child 15, teacher_final_checkpoint_sha256: string
child 16, teacher_runtime_config_sha256: string
scientific_role: string
seed: int64
status: string
formal_config_sha256: string
minibatch: int64
fresh_start: bool
deployable_final_method: bool
task_sha256: string
resume: null
dataset_a_read: bool
error: null
to
{'checkpoint_count': Value('int64'), 'checkpoints': List(Value('string')), 'dataset_a_read': Value('bool'), 'deployable_final_method': Value('bool'), 'elapsed_seconds': Value('float64'), 'error': Value('null'), 'final100_touched': Value('bool'), 'formal_config_sha256': Value('string'), 'fresh_start': Value('bool'), 'horizon_length': Value('int64'), 'max_epochs': Value('int64'), 'minibatch': Value('int64'), 'num_envs': Value('int64'), 'resume': Value('null'), 'rollout_batch': Value('int64'), 'run_dir': Value('string'), 'run_name': Value('string'), 'runtime_contract': {'action_num': Value('int64'), 'central_state_shape': List(Value('int64')), 'central_value_class': Value('string'), 'central_value_net_state_shape': List(Value('int64')), 'dataset_a_read': Value('bool'), 'diagnostic_only': Value('bool'), 'final100_touched': Value('bool'), 'formal_config_sha256': Value('string'), 'fresh_start': Value('bool'), 'has_central_value': Value('bool'), 'horizon_length': Value('int64'), 'max_epochs': Value('int64'), 'minibatch': Value('int64'), 'num_envs': Value('int64'), 'oracle_gt_relative_goal_dim': Value('int64'), 'original_b2_0_89d_preserved': Value('bool'), 'policy_model_class': Value('string'), 'policy_observation_shape': List(Value('int64')), 'resume': Value('null'), 'rollout_batch': Value('int64'), 'seed': Value('int64'), 'task_sha256': Value('string'), 'teacher_runtime_config_sha256': Value('string')}, 'scientific_role': Value('string'), 'seed': Value('int64'), 'status': Value('string'), 'task_sha256': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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