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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
run_date: timestamp[s]
universes: struct<FI_COMMODITIES: struct<daily: struct<top_picks: list<item: struct<ticker: string, expected_re (... 15252 chars omitted)
child 0, FI_COMMODITIES: struct<daily: struct<top_picks: list<item: struct<ticker: string, expected_return: double, diffusion (... 2550 chars omitted)
child 0, daily: struct<top_picks: list<item: struct<ticker: string, expected_return: double, diffusion_drift: double (... 1120 chars omitted)
child 0, top_picks: list<item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: (... 52 chars omitted)
child 0, item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drift: double
child 3, jump_intensity: double
child 4, jump_mean: double
child 5, jump_adjustment: double
child 1, universes: struct<TLT: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: (... 936 chars omitted)
child 0, TLT: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drif
...
expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drift: double
child 3, jump_intensity: double
child 4, jump_mean: double
child 5, jump_adjustment: double
child 1, EQUITY_SECTORS: list<item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: (... 52 chars omitted)
child 0, item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drift: double
child 3, jump_intensity: double
child 4, jump_mean: double
child 5, jump_adjustment: double
child 2, COMBINED: list<item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: (... 52 chars omitted)
child 0, item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drift: double
child 3, jump_intensity: double
child 4, jump_mean: double
child 5, jump_adjustment: double
to
{'run_date': Value('timestamp[s]'), 'config': {'lookback_window': Value('int64'), 'jump_threshold_std': Value('float64')}, 'daily_trading': {'universes': {'FI_COMMODITIES': {'TLT': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'VCIT': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'LQD': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'HYG': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'VNQ': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'GLD': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'SLV': {'ticker': Value('string'), 'expec
...
lue('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}, '2021-2023': {'start_year': Value('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}, '2022-2024': {'start_year': Value('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}, '2023-2025': {'start_year': Value('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}, '2024-2026': {'start_year': Value('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': 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 478, 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
run_date: timestamp[s]
universes: struct<FI_COMMODITIES: struct<daily: struct<top_picks: list<item: struct<ticker: string, expected_re (... 15252 chars omitted)
child 0, FI_COMMODITIES: struct<daily: struct<top_picks: list<item: struct<ticker: string, expected_return: double, diffusion (... 2550 chars omitted)
child 0, daily: struct<top_picks: list<item: struct<ticker: string, expected_return: double, diffusion_drift: double (... 1120 chars omitted)
child 0, top_picks: list<item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: (... 52 chars omitted)
child 0, item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drift: double
child 3, jump_intensity: double
child 4, jump_mean: double
child 5, jump_adjustment: double
child 1, universes: struct<TLT: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: (... 936 chars omitted)
child 0, TLT: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drif
...
expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drift: double
child 3, jump_intensity: double
child 4, jump_mean: double
child 5, jump_adjustment: double
child 1, EQUITY_SECTORS: list<item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: (... 52 chars omitted)
child 0, item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drift: double
child 3, jump_intensity: double
child 4, jump_mean: double
child 5, jump_adjustment: double
child 2, COMBINED: list<item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: (... 52 chars omitted)
child 0, item: struct<ticker: string, expected_return: double, diffusion_drift: double, jump_intensity: double, jum (... 40 chars omitted)
child 0, ticker: string
child 1, expected_return: double
child 2, diffusion_drift: double
child 3, jump_intensity: double
child 4, jump_mean: double
child 5, jump_adjustment: double
to
{'run_date': Value('timestamp[s]'), 'config': {'lookback_window': Value('int64'), 'jump_threshold_std': Value('float64')}, 'daily_trading': {'universes': {'FI_COMMODITIES': {'TLT': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'VCIT': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'LQD': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'HYG': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'VNQ': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'GLD': {'ticker': Value('string'), 'expected_return': Value('float64'), 'diffusion_drift': Value('float64'), 'jump_intensity': Value('float64'), 'jump_mean': Value('float64'), 'jump_adjustment': Value('float64')}, 'SLV': {'ticker': Value('string'), 'expec
...
lue('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}, '2021-2023': {'start_year': Value('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}, '2022-2024': {'start_year': Value('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}, '2023-2025': {'start_year': Value('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}, '2024-2026': {'start_year': Value('int64'), 'top_picks': {'FI_COMMODITIES': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'EQUITY_SECTORS': {'ticker': Value('string'), 'expected_return': Value('float64')}, 'COMBINED': {'ticker': Value('string'), 'expected_return': Value('float64')}}}}}
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