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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
overall_success_rate: double
n_tasks: int64
per_task: struct<PnPCounterToCab: struct<success_rate: double, n_success: int64, n: int64>, PnPCounterToMicrow (... 1708 chars omitted)
  child 0, PnPCounterToCab: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 1, PnPCounterToMicrowave: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 2, OpenSingleDoor: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 3, OpenDrawer: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 4, TurnOnSinkFaucet: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 5, CoffeeServeMug: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 6, PnPCabToCounter: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 7, PnPMicrowaveToCounter: struct<success_rate: double, n_success: int64, 
...
int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 19, PnPStoveToCounter: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 20, CloseDoubleDoor: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 21, TurnOffStove: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 22, CoffeeSetupMug: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
  child 23, TurnOffMicrowave: struct<success_rate: double, n_success: int64, n: int64>
      child 0, success_rate: double
      child 1, n_success: int64
      child 2, n: int64
sharded: bool
shards_missing: list<item: null>
  child 0, item: null
metric: string
tasks: int64
eps_per_task: int64
centroid: struct<psnr: double, ssim: double, lpips: double>
  child 0, psnr: double
  child 1, ssim: double
  child 2, lpips: double
baseline: struct<psnr: double, ssim: double, lpips: double>
  child 0, psnr: double
  child 1, ssim: double
  child 2, lpips: double
delta: struct<psnr: double, ssim: double, lpips: double>
  child 0, psnr: double
  child 1, ssim: double
  child 2, lpips: double
to
{'metric': Value('string'), 'eps_per_task': Value('int64'), 'tasks': Value('int64'), 'baseline': {'psnr': Value('float64'), 'ssim': Value('float64'), 'lpips': Value('float64')}, 'centroid': {'psnr': Value('float64'), 'ssim': Value('float64'), 'lpips': Value('float64')}, 'delta': {'psnr': Value('float64'), 'ssim': Value('float64'), 'lpips': Value('float64')}}
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
              overall_success_rate: double
              n_tasks: int64
              per_task: struct<PnPCounterToCab: struct<success_rate: double, n_success: int64, n: int64>, PnPCounterToMicrow (... 1708 chars omitted)
                child 0, PnPCounterToCab: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 1, PnPCounterToMicrowave: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 2, OpenSingleDoor: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 3, OpenDrawer: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 4, TurnOnSinkFaucet: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 5, CoffeeServeMug: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 6, PnPCabToCounter: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 7, PnPMicrowaveToCounter: struct<success_rate: double, n_success: int64, 
              ...
              int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 19, PnPStoveToCounter: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 20, CloseDoubleDoor: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 21, TurnOffStove: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 22, CoffeeSetupMug: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
                child 23, TurnOffMicrowave: struct<success_rate: double, n_success: int64, n: int64>
                    child 0, success_rate: double
                    child 1, n_success: int64
                    child 2, n: int64
              sharded: bool
              shards_missing: list<item: null>
                child 0, item: null
              metric: string
              tasks: int64
              eps_per_task: int64
              centroid: struct<psnr: double, ssim: double, lpips: double>
                child 0, psnr: double
                child 1, ssim: double
                child 2, lpips: double
              baseline: struct<psnr: double, ssim: double, lpips: double>
                child 0, psnr: double
                child 1, ssim: double
                child 2, lpips: double
              delta: struct<psnr: double, ssim: double, lpips: double>
                child 0, psnr: double
                child 1, ssim: double
                child 2, lpips: double
              to
              {'metric': Value('string'), 'eps_per_task': Value('int64'), 'tasks': Value('int64'), 'baseline': {'psnr': Value('float64'), 'ssim': Value('float64'), 'lpips': Value('float64')}, 'centroid': {'psnr': Value('float64'), 'ssim': Value('float64'), 'lpips': Value('float64')}, 'delta': {'psnr': Value('float64'), 'ssim': Value('float64'), 'lpips': Value('float64')}}
              because column names don't match

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