Datasets:

---

latency-sensitive-bench

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paper-experiment-evals

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Latency Sensitive Bench 4

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
checkpoint_kind: string
checkpoint_path: string
configured_latency_ms: double
eval_latency_steps: int64
experiment_name: string
latency: int64
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
suite_name: string
timestamp_utc: string
train_latency_steps: int64
return_raw: null
episode_id: int64
num_invalid_actions: int64
metadata: struct<checkpoint_kind: string, checkpoint_path: string, config_name: string, configured_latency_ms: (... 376 chars omitted)
  child 0, checkpoint_kind: string
  child 1, checkpoint_path: string
  child 2, config_name: string
  child 3, configured_latency_ms: double
  child 4, env_fps: double
  child 5, env_id: string
  child 6, episode_seed: int64
  child 7, eval_latency_steps: int64
  child 8, frame_ms: double
  child 9, gpu_class: null
  child 10, instance_id: null
  child 11, latency_type: string
  child 12, mode: string
  child 13, model_id: null
  child 14, obs_fps: double
  child 15, output_dir: string
  child 16, policy_id: string
  child 17, profile_ref: null
  child 18, run_name: string
  child 19, source_run_id: null
  child 20, suite_name: string
  child 21, train_latency_steps: int64
  child 22, workload_id: null
survival_steps: int64
episode_return: double
num_dropped_actions: int64
game_score: null
mean_latency_ms: double
episode_return_env: double
num_actions: int64
p90_latency_ms: double
p99_latency_ms: double
to
{'episode_id': Value('int64'), 'episode_return': Value('float64'), 'episode_return_env': Value('float64'), 'game_score': Value('null'), 'mean_latency_ms': Value('float64'), 'metadata': {'checkpoint_kind': Value('string'), 'checkpoint_path': Value('string'), 'config_name': Value('string'), 'configured_latency_ms': Value('float64'), 'env_fps': Value('float64'), 'env_id': Value('string'), 'episode_seed': Value('int64'), 'eval_latency_steps': Value('int64'), 'frame_ms': Value('float64'), 'gpu_class': Value('null'), 'instance_id': Value('null'), 'latency_type': Value('string'), 'mode': Value('string'), 'model_id': Value('null'), 'obs_fps': Value('float64'), 'output_dir': Value('string'), 'policy_id': Value('string'), 'profile_ref': Value('null'), 'run_name': Value('string'), 'source_run_id': Value('null'), 'suite_name': Value('string'), 'train_latency_steps': Value('int64'), 'workload_id': Value('null')}, 'num_actions': Value('int64'), 'num_dropped_actions': Value('int64'), 'num_invalid_actions': Value('int64'), 'p90_latency_ms': Value('float64'), 'p99_latency_ms': Value('float64'), 'return_raw': Value('null'), 'survival_steps': Value('int64')}
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_kind: string
              checkpoint_path: string
              configured_latency_ms: double
              eval_latency_steps: int64
              experiment_name: string
              latency: int64
              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
              suite_name: string
              timestamp_utc: string
              train_latency_steps: int64
              return_raw: null
              episode_id: int64
              num_invalid_actions: int64
              metadata: struct<checkpoint_kind: string, checkpoint_path: string, config_name: string, configured_latency_ms: (... 376 chars omitted)
                child 0, checkpoint_kind: string
                child 1, checkpoint_path: string
                child 2, config_name: string
                child 3, configured_latency_ms: double
                child 4, env_fps: double
                child 5, env_id: string
                child 6, episode_seed: int64
                child 7, eval_latency_steps: int64
                child 8, frame_ms: double
                child 9, gpu_class: null
                child 10, instance_id: null
                child 11, latency_type: string
                child 12, mode: string
                child 13, model_id: null
                child 14, obs_fps: double
                child 15, output_dir: string
                child 16, policy_id: string
                child 17, profile_ref: null
                child 18, run_name: string
                child 19, source_run_id: null
                child 20, suite_name: string
                child 21, train_latency_steps: int64
                child 22, workload_id: null
              survival_steps: int64
              episode_return: double
              num_dropped_actions: int64
              game_score: null
              mean_latency_ms: double
              episode_return_env: double
              num_actions: int64
              p90_latency_ms: double
              p99_latency_ms: double
              to
              {'episode_id': Value('int64'), 'episode_return': Value('float64'), 'episode_return_env': Value('float64'), 'game_score': Value('null'), 'mean_latency_ms': Value('float64'), 'metadata': {'checkpoint_kind': Value('string'), 'checkpoint_path': Value('string'), 'config_name': Value('string'), 'configured_latency_ms': Value('float64'), 'env_fps': Value('float64'), 'env_id': Value('string'), 'episode_seed': Value('int64'), 'eval_latency_steps': Value('int64'), 'frame_ms': Value('float64'), 'gpu_class': Value('null'), 'instance_id': Value('null'), 'latency_type': Value('string'), 'mode': Value('string'), 'model_id': Value('null'), 'obs_fps': Value('float64'), 'output_dir': Value('string'), 'policy_id': Value('string'), 'profile_ref': Value('null'), 'run_name': Value('string'), 'source_run_id': Value('null'), 'suite_name': Value('string'), 'train_latency_steps': Value('int64'), 'workload_id': Value('null')}, 'num_actions': Value('int64'), 'num_dropped_actions': Value('int64'), 'num_invalid_actions': Value('int64'), 'p90_latency_ms': Value('float64'), 'p99_latency_ms': Value('float64'), 'return_raw': Value('null'), 'survival_steps': Value('int64')}
              because column names don't match