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latency-sensitive-bench

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Latency Sensitive Bench 4

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
experiment_name: string
latency: string
latency_type: string
lengths: list<item: int64>
  child 0, item: int64
mean_length: double
mean_return: double
returns: list<item: double>
  child 0, item: double
seed: int64
std_return: double
task_metrics: struct<edge_violation: struct<count: int64, mean: double, std: double>, normalized_waypoint_progress (... 64 chars omitted)
  child 0, edge_violation: struct<count: int64, mean: double, std: double>
      child 0, count: int64
      child 1, mean: double
      child 2, std: double
  child 1, normalized_waypoint_progress: struct<mean: double, std: double, values: list<item: double>>
      child 0, mean: double
      child 1, std: double
      child 2, values: list<item: double>
          child 0, item: double
timestamp_utc: string
checkpoint_kind: string
checkpoint_path: string
to
{'checkpoint_kind': Value('string'), 'checkpoint_path': Value('string'), 'experiment_name': Value('string'), 'latency': Value('string'), 'latency_type': Value('string'), 'lengths': List(Value('int64')), 'mean_length': Value('float64'), 'mean_return': Value('float64'), 'returns': List(Value('float64')), 'seed': Value('int64'), 'std_return': Value('float64'), 'timestamp_utc': 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
              experiment_name: string
              latency: string
              latency_type: string
              lengths: list<item: int64>
                child 0, item: int64
              mean_length: double
              mean_return: double
              returns: list<item: double>
                child 0, item: double
              seed: int64
              std_return: double
              task_metrics: struct<edge_violation: struct<count: int64, mean: double, std: double>, normalized_waypoint_progress (... 64 chars omitted)
                child 0, edge_violation: struct<count: int64, mean: double, std: double>
                    child 0, count: int64
                    child 1, mean: double
                    child 2, std: double
                child 1, normalized_waypoint_progress: struct<mean: double, std: double, values: list<item: double>>
                    child 0, mean: double
                    child 1, std: double
                    child 2, values: list<item: double>
                        child 0, item: double
              timestamp_utc: string
              checkpoint_kind: string
              checkpoint_path: string
              to
              {'checkpoint_kind': Value('string'), 'checkpoint_path': Value('string'), 'experiment_name': Value('string'), 'latency': Value('string'), 'latency_type': Value('string'), 'lengths': List(Value('int64')), 'mean_length': Value('float64'), 'mean_return': Value('float64'), 'returns': List(Value('float64')), 'seed': Value('int64'), 'std_return': Value('float64'), 'timestamp_utc': Value('string')}
              because column names don't match