Datasets:

---

lakminaG

/

weNavigate-PPO_controller_training_episodes

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
checkpoint: string
model_path: string
n_episodes: int64
metrics: string
controllers: list<item: string>
  child 0, item: string
summaries: list<item: struct<controller: string, n_episodes: int64, stop_rate: double, stop_episodes: int64, st (... 258 chars omitted)
  child 0, item: struct<controller: string, n_episodes: int64, stop_rate: double, stop_episodes: int64, stop_source_v (... 246 chars omitted)
      child 0, controller: string
      child 1, n_episodes: int64
      child 2, stop_rate: double
      child 3, stop_episodes: int64
      child 4, stop_source_vlm: int64
      child 5, stop_source_ctrl: int64
      child 6, mean_collisions: double
      child 7, collision_free_episodes: int64
      child 8, collision_free_rate: double
      child 9, mean_path_length: double
      child 10, mean_forward_progress: double
      child 11, mean_vlm_calls: double
      child 12, mean_steps: double
      child 13, mean_elapsed_s: double
elapsed_s: double
forward_progress: double
stop_issued: bool
controller: string
episode_id: string
collision_free: bool
collisions: int64
instruction: string
path_length: double
scene: string
steps: int64
stop_source: string
termination: string
vlm_calls: int64
to
{'controller': Value('string'), 'episode_id': Value('string'), 'scene': Value('string'), 'instruction': Value('string'), 'stop_issued': Value('bool'), 'stop_source': Value('string'), 'collisions': Value('int64'), 'collision_free': Value('bool'), 'path_length': Value('float64'), 'forward_progress': Value('float64'), 'steps': Value('int64'), 'vlm_calls': Value('int64'), 'termination': Value('string'), 'elapsed_s': 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
              checkpoint: string
              model_path: string
              n_episodes: int64
              metrics: string
              controllers: list<item: string>
                child 0, item: string
              summaries: list<item: struct<controller: string, n_episodes: int64, stop_rate: double, stop_episodes: int64, st (... 258 chars omitted)
                child 0, item: struct<controller: string, n_episodes: int64, stop_rate: double, stop_episodes: int64, stop_source_v (... 246 chars omitted)
                    child 0, controller: string
                    child 1, n_episodes: int64
                    child 2, stop_rate: double
                    child 3, stop_episodes: int64
                    child 4, stop_source_vlm: int64
                    child 5, stop_source_ctrl: int64
                    child 6, mean_collisions: double
                    child 7, collision_free_episodes: int64
                    child 8, collision_free_rate: double
                    child 9, mean_path_length: double
                    child 10, mean_forward_progress: double
                    child 11, mean_vlm_calls: double
                    child 12, mean_steps: double
                    child 13, mean_elapsed_s: double
              elapsed_s: double
              forward_progress: double
              stop_issued: bool
              controller: string
              episode_id: string
              collision_free: bool
              collisions: int64
              instruction: string
              path_length: double
              scene: string
              steps: int64
              stop_source: string
              termination: string
              vlm_calls: int64
              to
              {'controller': Value('string'), 'episode_id': Value('string'), 'scene': Value('string'), 'instruction': Value('string'), 'stop_issued': Value('bool'), 'stop_source': Value('string'), 'collisions': Value('int64'), 'collision_free': Value('bool'), 'path_length': Value('float64'), 'forward_progress': Value('float64'), 'steps': Value('int64'), 'vlm_calls': Value('int64'), 'termination': Value('string'), 'elapsed_s': Value('float64')}
              because column names don't match