Datasets:

---

tigerking009

/

fast-t2i-mobile-research

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
project_name: string
created_at: string
target_platform: string
mobile_targets: struct<primary: string, secondary: list<item: string>>
  child 0, primary: string
  child 1, secondary: list<item: string>
      child 0, item: string
engine_target_gb: double
total_runtime_target_gb: double
primary_resolution: string
preferred_steps: int64
quantization_sequence: list<item: string>
  child 0, item: string
total_models: int64
benchmark_prompts_count: int64
images_per_model: int64
hf_repo: string
hf_token_present: bool
environment: struct<python: string, pytorch: string, cuda: string, gpu: string>
  child 0, python: string
  child 1, pytorch: string
  child 2, cuda: string
  child 3, gpu: string
models: list<item: null>
  child 0, item: null
current_round: null
total_rounds: int64
to
{'models': List(Value('null')), 'current_round': Value('null'), 'total_rounds': 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
              project_name: string
              created_at: string
              target_platform: string
              mobile_targets: struct<primary: string, secondary: list<item: string>>
                child 0, primary: string
                child 1, secondary: list<item: string>
                    child 0, item: string
              engine_target_gb: double
              total_runtime_target_gb: double
              primary_resolution: string
              preferred_steps: int64
              quantization_sequence: list<item: string>
                child 0, item: string
              total_models: int64
              benchmark_prompts_count: int64
              images_per_model: int64
              hf_repo: string
              hf_token_present: bool
              environment: struct<python: string, pytorch: string, cuda: string, gpu: string>
                child 0, python: string
                child 1, pytorch: string
                child 2, cuda: string
                child 3, gpu: string
              models: list<item: null>
                child 0, item: null
              current_round: null
              total_rounds: int64
              to
              {'models': List(Value('null')), 'current_round': Value('null'), 'total_rounds': Value('int64')}
              because column names don't match