Datasets:

---

10doshi12

/

firewatch-sft-data

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
event: string
evaluation_scope: string
completion_idx: int64
seed: int64
action_type: string
target_service: string
reward: double
timestamp: string
final_checkpoint: string
wall_time_seconds: double
action_count: int64
sequence_mode: bool
gnn_checkpoint_filename: string
model_variant: string
model_repo_commit: string
per_task: struct<easy: struct<mean_reward: double, success_rate: double, mean_episode_length: double, mean_wro (... 250 chars omitted)
  child 0, easy: struct<mean_reward: double, success_rate: double, mean_episode_length: double, mean_wrong_actions: d (... 6 chars omitted)
      child 0, mean_reward: double
      child 1, success_rate: double
      child 2, mean_episode_length: double
      child 3, mean_wrong_actions: double
  child 1, hard: struct<mean_reward: double, success_rate: double, mean_episode_length: double, mean_wrong_actions: d (... 6 chars omitted)
      child 0, mean_reward: double
      child 1, success_rate: double
      child 2, mean_episode_length: double
      child 3, mean_wrong_actions: double
  child 2, medium: struct<mean_reward: double, success_rate: double, mean_episode_length: double, mean_wrong_actions: d (... 6 chars omitted)
      child 0, mean_reward: double
      child 1, success_rate: double
      child 2, mean_episode_length: double
      child 3, mean_wrong_actions: double
auto_triggered: bool
overall: struct<overall_success_rate: double, overall_mean_reward: double, total_wrong_actions: int64>
  child 0, overall_success_rate: double
  child 1, overall_mean_reward: double
  child 2, total_wrong_actions: int64
trigger: string
sim_space_url: string
to
{'timestamp': Value('string'), 'trigger': Value('string'), 'auto_triggered': Value('bool'), 'model_variant': Value('string'), 'model_repo_commit': Value('string'), 'gnn_checkpoint_filename': Value('string'), 'sim_space_url': Value('string'), 'per_task': {'easy': {'mean_reward': Value('float64'), 'success_rate': Value('float64'), 'mean_episode_length': Value('float64'), 'mean_wrong_actions': Value('float64')}, 'hard': {'mean_reward': Value('float64'), 'success_rate': Value('float64'), 'mean_episode_length': Value('float64'), 'mean_wrong_actions': Value('float64')}, 'medium': {'mean_reward': Value('float64'), 'success_rate': Value('float64'), 'mean_episode_length': Value('float64'), 'mean_wrong_actions': Value('float64')}}, 'overall': {'overall_success_rate': Value('float64'), 'overall_mean_reward': Value('float64'), 'total_wrong_actions': Value('int64')}, 'wall_time_seconds': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              event: string
              evaluation_scope: string
              completion_idx: int64
              seed: int64
              action_type: string
              target_service: string
              reward: double
              timestamp: string
              final_checkpoint: string
              wall_time_seconds: double
              action_count: int64
              sequence_mode: bool
              gnn_checkpoint_filename: string
              model_variant: string
              model_repo_commit: string
              per_task: struct<easy: struct<mean_reward: double, success_rate: double, mean_episode_length: double, mean_wro (... 250 chars omitted)
                child 0, easy: struct<mean_reward: double, success_rate: double, mean_episode_length: double, mean_wrong_actions: d (... 6 chars omitted)
                    child 0, mean_reward: double
                    child 1, success_rate: double
                    child 2, mean_episode_length: double
                    child 3, mean_wrong_actions: double
                child 1, hard: struct<mean_reward: double, success_rate: double, mean_episode_length: double, mean_wrong_actions: d (... 6 chars omitted)
                    child 0, mean_reward: double
                    child 1, success_rate: double
                    child 2, mean_episode_length: double
                    child 3, mean_wrong_actions: double
                child 2, medium: struct<mean_reward: double, success_rate: double, mean_episode_length: double, mean_wrong_actions: d (... 6 chars omitted)
                    child 0, mean_reward: double
                    child 1, success_rate: double
                    child 2, mean_episode_length: double
                    child 3, mean_wrong_actions: double
              auto_triggered: bool
              overall: struct<overall_success_rate: double, overall_mean_reward: double, total_wrong_actions: int64>
                child 0, overall_success_rate: double
                child 1, overall_mean_reward: double
                child 2, total_wrong_actions: int64
              trigger: string
              sim_space_url: string
              to
              {'timestamp': Value('string'), 'trigger': Value('string'), 'auto_triggered': Value('bool'), 'model_variant': Value('string'), 'model_repo_commit': Value('string'), 'gnn_checkpoint_filename': Value('string'), 'sim_space_url': Value('string'), 'per_task': {'easy': {'mean_reward': Value('float64'), 'success_rate': Value('float64'), 'mean_episode_length': Value('float64'), 'mean_wrong_actions': Value('float64')}, 'hard': {'mean_reward': Value('float64'), 'success_rate': Value('float64'), 'mean_episode_length': Value('float64'), 'mean_wrong_actions': Value('float64')}, 'medium': {'mean_reward': Value('float64'), 'success_rate': Value('float64'), 'mean_episode_length': Value('float64'), 'mean_wrong_actions': Value('float64')}}, 'overall': {'overall_success_rate': Value('float64'), 'overall_mean_reward': Value('float64'), 'total_wrong_actions': Value('int64')}, 'wall_time_seconds': Value('float64')}
              because column names don't match