Datasets:

---

latency-sensitive-bench

/

profiles

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Latency Sensitive Bench 4

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
captured_at: string
cpu: struct<logical_cores: int64, model_name: string>
  child 0, logical_cores: int64
  child 1, model_name: string
gpu: struct<device_count: int64, torch_cuda_version: string, torch_device_name: string>
  child 0, device_count: int64
  child 1, torch_cuda_version: string
  child 2, torch_device_name: string
memory: struct<total_gib: double, total_kib: int64>
  child 0, total_gib: double
  child 1, total_kib: int64
system: struct<hostname: string, python_version: string>
  child 0, hostname: string
  child 1, python_version: string
python_executable: string
hardware_fingerprint: struct<captured_at: string, cpu: struct<logical_cores: int64, model_name: string>, gpu: struct<devic (... 182 chars omitted)
  child 0, captured_at: string
  child 1, cpu: struct<logical_cores: int64, model_name: string>
      child 0, logical_cores: int64
      child 1, model_name: string
  child 2, gpu: struct<device_count: int64, torch_cuda_version: string, torch_device_name: string>
      child 0, device_count: int64
      child 1, torch_cuda_version: string
      child 2, torch_device_name: string
  child 3, memory: struct<total_gib: double, total_kib: int64>
      child 0, total_gib: double
      child 1, total_kib: int64
  child 4, system: struct<hostname: string, python_version: string>
      child 0, hostname: string
      child 1, python_version: string
seed: int64
skip_reason: string
policy: string
instance_origin: string
target_device_id: string
calibration_output_path: string
cuda_visible_devices: null
git_sha: null
panel: string
replay_device_display_name: null
hardware_detected_raw: string
hf_uploaded: bool
completed_at: string
runtime_env_matched_alias: string
warmup_generated_config_path: string
policy_type: string
profile_command: string
hf_repo: string
replay_device_id: null
experiment_id: string
seed_set: list<item: int64>
  child 0, item: int64
runtime_conda_env: string
model_type: string
output_dir: string
target_device_display_name: string
instance_id: string
checkpoint_kind: string
started_at: string
target_profile_id: string
generated_config_path: string
torch_cuda_version: string
hf_path_in_repo: string
torch_version: string
command: string
gpu_uuid_hash: null
status: string
hardware_normalized: string
notes: string
runtime_env_detected_raw: string
calibration_command: string
env_name: string
smoke: bool
runtime_env: string
error: string
n_episodes: int64
env: string
protocol_id: string
smoke_max_steps: null
hostname: string
experiment_ids: list<item: string>
  child 0, item: string
stage: string
profile_path: string
to
{'calibration_command': Value('string'), 'calibration_output_path': Value('string'), 'checkpoint_kind': Value('string'), 'command': Value('string'), 'completed_at': Value('string'), 'cuda_visible_devices': Value('null'), 'env': Value('string'), 'env_name': Value('string'), 'error': Value('string'), 'experiment_id': Value('string'), 'experiment_ids': List(Value('string')), 'generated_config_path': Value('string'), 'git_sha': Value('null'), 'gpu_uuid_hash': Value('null'), 'hardware_detected_raw': Value('string'), 'hardware_fingerprint': {'captured_at': Value('string'), 'cpu': {'logical_cores': Value('int64'), 'model_name': Value('string')}, 'gpu': {'device_count': Value('int64'), 'torch_cuda_version': Value('string'), 'torch_device_name': Value('string')}, 'memory': {'total_gib': Value('float64'), 'total_kib': Value('int64')}, 'system': {'hostname': Value('string'), 'python_version': Value('string')}}, 'hardware_normalized': Value('string'), 'hf_path_in_repo': Value('string'), 'hf_repo': Value('string'), 'hf_uploaded': Value('bool'), 'hostname': Value('string'), 'instance_id': Value('string'), 'instance_origin': Value('string'), 'model_type': Value('string'), 'n_episodes': Value('int64'), 'notes': Value('string'), 'output_dir': Value('string'), 'panel': Value('string'), 'policy': Value('string'), 'policy_type': Value('string'), 'profile_command': Value('string'), 'profile_path': Value('string'), 'protocol_id': Value('string'), 'python_executable': Value('string'), 'replay_device_display_name': Value('null'), 'replay_device_id': Value('null'), 'runtime_conda_env': Value('string'), 'runtime_env': Value('string'), 'runtime_env_detected_raw': Value('string'), 'runtime_env_matched_alias': Value('string'), 'seed': Value('int64'), 'seed_set': List(Value('int64')), 'skip_reason': Value('string'), 'smoke': Value('bool'), 'smoke_max_steps': Value('null'), 'stage': Value('string'), 'started_at': Value('string'), 'status': Value('string'), 'target_device_display_name': Value('string'), 'target_device_id': Value('string'), 'target_profile_id': Value('string'), 'torch_cuda_version': Value('string'), 'torch_version': Value('string'), 'warmup_generated_config_path': 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              captured_at: string
              cpu: struct<logical_cores: int64, model_name: string>
                child 0, logical_cores: int64
                child 1, model_name: string
              gpu: struct<device_count: int64, torch_cuda_version: string, torch_device_name: string>
                child 0, device_count: int64
                child 1, torch_cuda_version: string
                child 2, torch_device_name: string
              memory: struct<total_gib: double, total_kib: int64>
                child 0, total_gib: double
                child 1, total_kib: int64
              system: struct<hostname: string, python_version: string>
                child 0, hostname: string
                child 1, python_version: string
              python_executable: string
              hardware_fingerprint: struct<captured_at: string, cpu: struct<logical_cores: int64, model_name: string>, gpu: struct<devic (... 182 chars omitted)
                child 0, captured_at: string
                child 1, cpu: struct<logical_cores: int64, model_name: string>
                    child 0, logical_cores: int64
                    child 1, model_name: string
                child 2, gpu: struct<device_count: int64, torch_cuda_version: string, torch_device_name: string>
                    child 0, device_count: int64
                    child 1, torch_cuda_version: string
                    child 2, torch_device_name: string
                child 3, memory: struct<total_gib: double, total_kib: int64>
                    child 0, total_gib: double
                    child 1, total_kib: int64
                child 4, system: struct<hostname: string, python_version: string>
                    child 0, hostname: string
                    child 1, python_version: string
              seed: int64
              skip_reason: string
              policy: string
              instance_origin: string
              target_device_id: string
              calibration_output_path: string
              cuda_visible_devices: null
              git_sha: null
              panel: string
              replay_device_display_name: null
              hardware_detected_raw: string
              hf_uploaded: bool
              completed_at: string
              runtime_env_matched_alias: string
              warmup_generated_config_path: string
              policy_type: string
              profile_command: string
              hf_repo: string
              replay_device_id: null
              experiment_id: string
              seed_set: list<item: int64>
                child 0, item: int64
              runtime_conda_env: string
              model_type: string
              output_dir: string
              target_device_display_name: string
              instance_id: string
              checkpoint_kind: string
              started_at: string
              target_profile_id: string
              generated_config_path: string
              torch_cuda_version: string
              hf_path_in_repo: string
              torch_version: string
              command: string
              gpu_uuid_hash: null
              status: string
              hardware_normalized: string
              notes: string
              runtime_env_detected_raw: string
              calibration_command: string
              env_name: string
              smoke: bool
              runtime_env: string
              error: string
              n_episodes: int64
              env: string
              protocol_id: string
              smoke_max_steps: null
              hostname: string
              experiment_ids: list<item: string>
                child 0, item: string
              stage: string
              profile_path: string
              to
              {'calibration_command': Value('string'), 'calibration_output_path': Value('string'), 'checkpoint_kind': Value('string'), 'command': Value('string'), 'completed_at': Value('string'), 'cuda_visible_devices': Value('null'), 'env': Value('string'), 'env_name': Value('string'), 'error': Value('string'), 'experiment_id': Value('string'), 'experiment_ids': List(Value('string')), 'generated_config_path': Value('string'), 'git_sha': Value('null'), 'gpu_uuid_hash': Value('null'), 'hardware_detected_raw': Value('string'), 'hardware_fingerprint': {'captured_at': Value('string'), 'cpu': {'logical_cores': Value('int64'), 'model_name': Value('string')}, 'gpu': {'device_count': Value('int64'), 'torch_cuda_version': Value('string'), 'torch_device_name': Value('string')}, 'memory': {'total_gib': Value('float64'), 'total_kib': Value('int64')}, 'system': {'hostname': Value('string'), 'python_version': Value('string')}}, 'hardware_normalized': Value('string'), 'hf_path_in_repo': Value('string'), 'hf_repo': Value('string'), 'hf_uploaded': Value('bool'), 'hostname': Value('string'), 'instance_id': Value('string'), 'instance_origin': Value('string'), 'model_type': Value('string'), 'n_episodes': Value('int64'), 'notes': Value('string'), 'output_dir': Value('string'), 'panel': Value('string'), 'policy': Value('string'), 'policy_type': Value('string'), 'profile_command': Value('string'), 'profile_path': Value('string'), 'protocol_id': Value('string'), 'python_executable': Value('string'), 'replay_device_display_name': Value('null'), 'replay_device_id': Value('null'), 'runtime_conda_env': Value('string'), 'runtime_env': Value('string'), 'runtime_env_detected_raw': Value('string'), 'runtime_env_matched_alias': Value('string'), 'seed': Value('int64'), 'seed_set': List(Value('int64')), 'skip_reason': Value('string'), 'smoke': Value('bool'), 'smoke_max_steps': Value('null'), 'stage': Value('string'), 'started_at': Value('string'), 'status': Value('string'), 'target_device_display_name': Value('string'), 'target_device_id': Value('string'), 'target_profile_id': Value('string'), 'torch_cuda_version': Value('string'), 'torch_version': Value('string'), 'warmup_generated_config_path': Value('string')}
              because column names don't match