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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
smoke: bool
parsed: int64
total: int64
parsed_frac: double
metrics: struct<median_bias_reduction_aniso: double, icg_smile_b2_diag_over_iso: double, energy_rmse_gap_psmi (... 19 chars omitted)
child 0, median_bias_reduction_aniso: double
child 1, icg_smile_b2_diag_over_iso: double
child 2, energy_rmse_gap_psmile_vs_mile: double
sec_per_item: double
summary_keys: list<item: string>
child 0, item: string
config: struct<n: int64, stub: bool, smoke: bool, dump_raw: int64, model: null, dtype: string, out: string, (... 245 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, part: string
child 10, grid_steps: int64
child 11, grid_chains: int64
child 12, n_grid: int64
child 13, n_final: int64
child 14, final_chains: int64
child 15, uci_epochs: int64
child 16, uci_chains: int64
child 17, uci_splits: int64
child 18, mile_tune_steps: int64
child 19, mile_sample_steps: int64
headline: struct<airfoil_rmse_gap_psmile_vs_mile: double, bikesharing_rmse_gap_psmile_vs_mile: double, energy_ (... 32 chars omitted)
child 0, airfoil_rmse_gap_psmile_vs_mile: double
child 1, bikesharing_rmse_gap_psmile_vs_mile: double
child 2, energy_rmse_gap_psmile_vs_mile: double
uci: struct<airfoil: struct<methods: struct<mile: struct<rmse_mean: double, rmse_std: double, lppd_mean: (... 5939
...
child 1, lppd: double
child 2, L_mean: double
child 3, step_mean: double
child 1, psmile_epoch: struct<rmse: double, lppd: double, final_step_size_mean: double, reset_frac: double, epochs: int64, (... 25 chars omitted)
child 0, rmse: double
child 1, lppd: double
child 2, final_step_size_mean: double
child 3, reset_frac: double
child 4, epochs: int64
child 5, batches_per_epoch: int64
child 2, smile_epoch: struct<rmse: double, lppd: double, final_step_size_mean: double, reset_frac: double, epochs: int64, (... 25 chars omitted)
child 0, rmse: double
child 1, lppd: double
child 2, final_step_size_mean: double
child 3, reset_frac: double
child 4, epochs: int64
child 5, batches_per_epoch: int64
child 3, psmile_tuned: struct<rmse: double, lppd: double, final_step_size_mean: double, reset_frac: double, epochs: int64, (... 25 chars omitted)
child 0, rmse: double
child 1, lppd: double
child 2, final_step_size_mean: double
child 3, reset_frac: double
child 4, epochs: int64
child 5, batches_per_epoch: int64
child 2, n: int64
child 3, d_in: int64
child 4, n_params: int64
to
{'uci': {'airfoil': {'methods': {'mile': {'rmse_mean': Value('float64'), 'rmse_std': Value('float64'), 'lppd_mean': Value('float64'), 'lppd_std': Value('float64')}, 'psmile_epoch': {'rmse_mean': Value('float64'), 'rmse_std': Value('float64'), 'lppd_mean': Value('float64'), 'lppd_std': Value('float64')}, 'smile_epoch': {'rmse_mean': Value('float64'), 'rmse_std': Value('float64'), 'lppd_mean': Value('float64'), 'lppd_std': Value('float64')}, 'psmile_tuned': {'rmse_mean': Value('float64'), 'rmse_std': Value('float64'), 'lppd_mean': Value('float64'), 'lppd_std': Value('float64')}}, 'splits': {'split0': {'mile': {'rmse': Value('float64'), 'lppd': Value('float64'), 'L_mean': Value('float64'), 'step_mean': Value('float64')}, 'psmile_epoch': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}, 'smile_epoch': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}, 'psmile_tuned': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}}, 'split1': {'mile': {'rmse': Value('float64'), 'lppd': Value('float64'), 'L_mean': Value('float64'), 'step_mean': Value('float64')}, 'psmile_epoch': {'r
...
mean': Value('float64'), 'step_mean': Value('float64')}, 'psmile_epoch': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}, 'smile_epoch': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}, 'psmile_tuned': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}}}, 'n': Value('int64'), 'd_in': Value('int64'), 'n_params': Value('int64')}}, 'headline': {'airfoil_rmse_gap_psmile_vs_mile': Value('float64'), 'bikesharing_rmse_gap_psmile_vs_mile': Value('float64'), 'energy_rmse_gap_psmile_vs_mile': Value('float64')}, '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'), 'part': Value('string'), 'grid_steps': Value('int64'), 'grid_chains': Value('int64'), 'n_grid': Value('int64'), 'n_final': Value('int64'), 'final_chains': Value('int64'), 'uci_epochs': Value('int64'), 'uci_chains': Value('int64'), 'uci_splits': Value('int64'), 'mile_tune_steps': Value('int64'), 'mile_sample_steps': 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
smoke: bool
parsed: int64
total: int64
parsed_frac: double
metrics: struct<median_bias_reduction_aniso: double, icg_smile_b2_diag_over_iso: double, energy_rmse_gap_psmi (... 19 chars omitted)
child 0, median_bias_reduction_aniso: double
child 1, icg_smile_b2_diag_over_iso: double
child 2, energy_rmse_gap_psmile_vs_mile: double
sec_per_item: double
summary_keys: list<item: string>
child 0, item: string
config: struct<n: int64, stub: bool, smoke: bool, dump_raw: int64, model: null, dtype: string, out: string, (... 245 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, part: string
child 10, grid_steps: int64
child 11, grid_chains: int64
child 12, n_grid: int64
child 13, n_final: int64
child 14, final_chains: int64
child 15, uci_epochs: int64
child 16, uci_chains: int64
child 17, uci_splits: int64
child 18, mile_tune_steps: int64
child 19, mile_sample_steps: int64
headline: struct<airfoil_rmse_gap_psmile_vs_mile: double, bikesharing_rmse_gap_psmile_vs_mile: double, energy_ (... 32 chars omitted)
child 0, airfoil_rmse_gap_psmile_vs_mile: double
child 1, bikesharing_rmse_gap_psmile_vs_mile: double
child 2, energy_rmse_gap_psmile_vs_mile: double
uci: struct<airfoil: struct<methods: struct<mile: struct<rmse_mean: double, rmse_std: double, lppd_mean: (... 5939
...
child 1, lppd: double
child 2, L_mean: double
child 3, step_mean: double
child 1, psmile_epoch: struct<rmse: double, lppd: double, final_step_size_mean: double, reset_frac: double, epochs: int64, (... 25 chars omitted)
child 0, rmse: double
child 1, lppd: double
child 2, final_step_size_mean: double
child 3, reset_frac: double
child 4, epochs: int64
child 5, batches_per_epoch: int64
child 2, smile_epoch: struct<rmse: double, lppd: double, final_step_size_mean: double, reset_frac: double, epochs: int64, (... 25 chars omitted)
child 0, rmse: double
child 1, lppd: double
child 2, final_step_size_mean: double
child 3, reset_frac: double
child 4, epochs: int64
child 5, batches_per_epoch: int64
child 3, psmile_tuned: struct<rmse: double, lppd: double, final_step_size_mean: double, reset_frac: double, epochs: int64, (... 25 chars omitted)
child 0, rmse: double
child 1, lppd: double
child 2, final_step_size_mean: double
child 3, reset_frac: double
child 4, epochs: int64
child 5, batches_per_epoch: int64
child 2, n: int64
child 3, d_in: int64
child 4, n_params: int64
to
{'uci': {'airfoil': {'methods': {'mile': {'rmse_mean': Value('float64'), 'rmse_std': Value('float64'), 'lppd_mean': Value('float64'), 'lppd_std': Value('float64')}, 'psmile_epoch': {'rmse_mean': Value('float64'), 'rmse_std': Value('float64'), 'lppd_mean': Value('float64'), 'lppd_std': Value('float64')}, 'smile_epoch': {'rmse_mean': Value('float64'), 'rmse_std': Value('float64'), 'lppd_mean': Value('float64'), 'lppd_std': Value('float64')}, 'psmile_tuned': {'rmse_mean': Value('float64'), 'rmse_std': Value('float64'), 'lppd_mean': Value('float64'), 'lppd_std': Value('float64')}}, 'splits': {'split0': {'mile': {'rmse': Value('float64'), 'lppd': Value('float64'), 'L_mean': Value('float64'), 'step_mean': Value('float64')}, 'psmile_epoch': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}, 'smile_epoch': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}, 'psmile_tuned': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}}, 'split1': {'mile': {'rmse': Value('float64'), 'lppd': Value('float64'), 'L_mean': Value('float64'), 'step_mean': Value('float64')}, 'psmile_epoch': {'r
...
mean': Value('float64'), 'step_mean': Value('float64')}, 'psmile_epoch': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}, 'smile_epoch': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}, 'psmile_tuned': {'rmse': Value('float64'), 'lppd': Value('float64'), 'final_step_size_mean': Value('float64'), 'reset_frac': Value('float64'), 'epochs': Value('int64'), 'batches_per_epoch': Value('int64')}}}, 'n': Value('int64'), 'd_in': Value('int64'), 'n_params': Value('int64')}}, 'headline': {'airfoil_rmse_gap_psmile_vs_mile': Value('float64'), 'bikesharing_rmse_gap_psmile_vs_mile': Value('float64'), 'energy_rmse_gap_psmile_vs_mile': Value('float64')}, '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'), 'part': Value('string'), 'grid_steps': Value('int64'), 'grid_chains': Value('int64'), 'n_grid': Value('int64'), 'n_final': Value('int64'), 'final_chains': Value('int64'), 'uci_epochs': Value('int64'), 'uci_chains': Value('int64'), 'uci_splits': Value('int64'), 'mile_tune_steps': Value('int64'), 'mile_sample_steps': Value('int64')}}
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