Datasets:

---

agharsallah

/

ueebgroga8-repro

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
smoke: bool
parsed: int64
total: int64
parsed_frac: double
metrics: struct<SFConvCNP_test_ll: double, SFConvCNP_crps: double>
  child 0, SFConvCNP_test_ll: double
  child 1, SFConvCNP_crps: double
sec_per_item: double
paper: struct<SFConvCNP: double, SFVConvCNP: double, attention: double>
  child 0, SFConvCNP: double
  child 1, SFVConvCNP: double
  child 2, attention: double
task: string
config: struct<n: int64, stub: bool, smoke: bool, dump_raw: int64, model: null, dtype: string, out: string,  (... 108 chars omitted)
  child 0, n: int64
  child 1, stub: bool
  child 2, smoke: bool
  child 3, dump_raw: int64
  child 4, model: null
  child 5, dtype: string
  child 6, out: string
  child 7, seed: int64
  child 8, upload_repo: string
  child 9, task: string
  child 10, iters: int64
  child 11, lr: double
  child 12, batch: int64
  child 13, eval_batches: int64
results: struct<SFConvCNP: struct<test_ll: double, test_ll_se: double>, SFVConvCNP: struct<test_ll: double, t (... 73 chars omitted)
  child 0, SFConvCNP: struct<test_ll: double, test_ll_se: double>
      child 0, test_ll: double
      child 1, test_ll_se: double
  child 1, SFVConvCNP: struct<test_ll: double, test_ll_se: double>
      child 0, test_ll: double
      child 1, test_ll_se: double
  child 2, AttnCNP: struct<test_ll: double, test_ll_se: double>
      child 0, test_ll: double
      child 1, test_ll_se: double
to
{'task': Value('string'), 'config': {'n': Value('int64'), 'stub': Value('bool'), 'smoke': Value('bool'), 'dump_raw': Value('int64'), 'model': Value('null'), 'dtype': Value('string'), 'out': Value('string'), 'seed': Value('int64'), 'upload_repo': Value('string'), 'task': Value('string'), 'iters': Value('int64'), 'lr': Value('float64'), 'batch': Value('int64'), 'eval_batches': Value('int64')}, 'results': {'SFConvCNP': {'test_ll': Value('float64'), 'test_ll_se': Value('float64')}, 'SFVConvCNP': {'test_ll': Value('float64'), 'test_ll_se': Value('float64')}, 'AttnCNP': {'test_ll': Value('float64'), 'test_ll_se': Value('float64')}}, 'paper': {'SFConvCNP': Value('float64'), 'SFVConvCNP': Value('float64'), 'attention': Value('float64')}}
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
              smoke: bool
              parsed: int64
              total: int64
              parsed_frac: double
              metrics: struct<SFConvCNP_test_ll: double, SFConvCNP_crps: double>
                child 0, SFConvCNP_test_ll: double
                child 1, SFConvCNP_crps: double
              sec_per_item: double
              paper: struct<SFConvCNP: double, SFVConvCNP: double, attention: double>
                child 0, SFConvCNP: double
                child 1, SFVConvCNP: double
                child 2, attention: double
              task: string
              config: struct<n: int64, stub: bool, smoke: bool, dump_raw: int64, model: null, dtype: string, out: string,  (... 108 chars omitted)
                child 0, n: int64
                child 1, stub: bool
                child 2, smoke: bool
                child 3, dump_raw: int64
                child 4, model: null
                child 5, dtype: string
                child 6, out: string
                child 7, seed: int64
                child 8, upload_repo: string
                child 9, task: string
                child 10, iters: int64
                child 11, lr: double
                child 12, batch: int64
                child 13, eval_batches: int64
              results: struct<SFConvCNP: struct<test_ll: double, test_ll_se: double>, SFVConvCNP: struct<test_ll: double, t (... 73 chars omitted)
                child 0, SFConvCNP: struct<test_ll: double, test_ll_se: double>
                    child 0, test_ll: double
                    child 1, test_ll_se: double
                child 1, SFVConvCNP: struct<test_ll: double, test_ll_se: double>
                    child 0, test_ll: double
                    child 1, test_ll_se: double
                child 2, AttnCNP: struct<test_ll: double, test_ll_se: double>
                    child 0, test_ll: double
                    child 1, test_ll_se: double
              to
              {'task': Value('string'), 'config': {'n': Value('int64'), 'stub': Value('bool'), 'smoke': Value('bool'), 'dump_raw': Value('int64'), 'model': Value('null'), 'dtype': Value('string'), 'out': Value('string'), 'seed': Value('int64'), 'upload_repo': Value('string'), 'task': Value('string'), 'iters': Value('int64'), 'lr': Value('float64'), 'batch': Value('int64'), 'eval_batches': Value('int64')}, 'results': {'SFConvCNP': {'test_ll': Value('float64'), 'test_ll_se': Value('float64')}, 'SFVConvCNP': {'test_ll': Value('float64'), 'test_ll_se': Value('float64')}, 'AttnCNP': {'test_ll': Value('float64'), 'test_ll_se': Value('float64')}}, 'paper': {'SFConvCNP': Value('float64'), 'SFVConvCNP': Value('float64'), 'attention': Value('float64')}}
              because column names don't match