Datasets:

---

Ilialebedev

/

test_storage

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: string
created_at: timestamp[s]
manifest_path: string
run: struct<platform_id: string, video_id: string, run_id: string, config_hash: string, sampling_policy_v (... 114 chars omitted)
  child 0, platform_id: string
  child 1, video_id: string
  child 2, run_id: string
  child 3, config_hash: string
  child 4, sampling_policy_version: string
  child 5, dataprocessor_version: string
  child 6, status: string
  child 7, created_at: timestamp[s]
  child 8, updated_at: timestamp[s]
summary: struct<counts: struct<total: int64, by_status: struct<error: int64, ok: int64>>, timing: struct<tota (... 290 chars omitted)
  child 0, counts: struct<total: int64, by_status: struct<error: int64, ok: int64>>
      child 0, total: int64
      child 1, by_status: struct<error: int64, ok: int64>
          child 0, error: int64
          child 1, ok: int64
  child 1, timing: struct<total_duration_ms_sum: int64, max_component_duration_ms: int64>
      child 0, total_duration_ms_sum: int64
      child 1, max_component_duration_ms: int64
  child 2, components: list<item: struct<name: string, kind: string, status: string, duration_ms: int64, device_used: strin (... 116 chars omitted)
      child 0, item: struct<name: string, kind: string, status: string, duration_ms: int64, device_used: string, schema_v (... 104 chars omitted)
          child 0, name: string
          child 1, kind: string
          child 2, status: string
          child 3, duration_ms: int64
          child 4, device_used: string
          child 5, schema_version: string
          child 6, producer_version: string
          child 7, empty_reason: null
          child 8, error_code: string
          child 9, artifact_count: int64
minor_faults: int64
gpu_util_mean: double
gpu_mem_mean_mib: double
vol_ctx_sw: int64
t_end: double
gpu_util_max: double
stage: string
gpu_util_p95: double
n_samples: int64
max_rss_kb: int64
sys_s: double
t_start: double
cpu_pct: int64
wall_s: double
user_s: double
rc: int64
gpu_mem_peak_mib: double
to
{'stage': Value('string'), 'rc': Value('int64'), 'wall_s': Value('float64'), 'max_rss_kb': Value('int64'), 'user_s': Value('float64'), 'sys_s': Value('float64'), 'cpu_pct': Value('int64'), 'minor_faults': Value('int64'), 'vol_ctx_sw': Value('int64'), 't_start': Value('float64'), 't_end': Value('float64'), 'gpu_util_max': Value('float64'), 'gpu_util_mean': Value('float64'), 'gpu_util_p95': Value('float64'), 'gpu_mem_peak_mib': Value('float64'), 'gpu_mem_mean_mib': Value('float64'), 'n_samples': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              schema_version: string
              created_at: timestamp[s]
              manifest_path: string
              run: struct<platform_id: string, video_id: string, run_id: string, config_hash: string, sampling_policy_v (... 114 chars omitted)
                child 0, platform_id: string
                child 1, video_id: string
                child 2, run_id: string
                child 3, config_hash: string
                child 4, sampling_policy_version: string
                child 5, dataprocessor_version: string
                child 6, status: string
                child 7, created_at: timestamp[s]
                child 8, updated_at: timestamp[s]
              summary: struct<counts: struct<total: int64, by_status: struct<error: int64, ok: int64>>, timing: struct<tota (... 290 chars omitted)
                child 0, counts: struct<total: int64, by_status: struct<error: int64, ok: int64>>
                    child 0, total: int64
                    child 1, by_status: struct<error: int64, ok: int64>
                        child 0, error: int64
                        child 1, ok: int64
                child 1, timing: struct<total_duration_ms_sum: int64, max_component_duration_ms: int64>
                    child 0, total_duration_ms_sum: int64
                    child 1, max_component_duration_ms: int64
                child 2, components: list<item: struct<name: string, kind: string, status: string, duration_ms: int64, device_used: strin (... 116 chars omitted)
                    child 0, item: struct<name: string, kind: string, status: string, duration_ms: int64, device_used: string, schema_v (... 104 chars omitted)
                        child 0, name: string
                        child 1, kind: string
                        child 2, status: string
                        child 3, duration_ms: int64
                        child 4, device_used: string
                        child 5, schema_version: string
                        child 6, producer_version: string
                        child 7, empty_reason: null
                        child 8, error_code: string
                        child 9, artifact_count: int64
              minor_faults: int64
              gpu_util_mean: double
              gpu_mem_mean_mib: double
              vol_ctx_sw: int64
              t_end: double
              gpu_util_max: double
              stage: string
              gpu_util_p95: double
              n_samples: int64
              max_rss_kb: int64
              sys_s: double
              t_start: double
              cpu_pct: int64
              wall_s: double
              user_s: double
              rc: int64
              gpu_mem_peak_mib: double
              to
              {'stage': Value('string'), 'rc': Value('int64'), 'wall_s': Value('float64'), 'max_rss_kb': Value('int64'), 'user_s': Value('float64'), 'sys_s': Value('float64'), 'cpu_pct': Value('int64'), 'minor_faults': Value('int64'), 'vol_ctx_sw': Value('int64'), 't_start': Value('float64'), 't_end': Value('float64'), 'gpu_util_max': Value('float64'), 'gpu_util_mean': Value('float64'), 'gpu_util_p95': Value('float64'), 'gpu_mem_peak_mib': Value('float64'), 'gpu_mem_mean_mib': Value('float64'), 'n_samples': Value('int64')}
              because column names don't match