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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
date: timestamp[s]
next_trading_day: timestamp[s]
FI: struct<pick: string, scores: struct<TLT: double, LQD: double, HYG: double, VNQ: double, GLD: double, (... 14 chars omitted)
child 0, pick: string
child 1, scores: struct<TLT: double, LQD: double, HYG: double, VNQ: double, GLD: double, SLV: double>
child 0, TLT: double
child 1, LQD: double
child 2, HYG: double
child 3, VNQ: double
child 4, GLD: double
child 5, SLV: double
EQ: struct<pick: string, scores: struct<QQQ: double, XLK: double, XLF: double, XLE: double, XLV: double, (... 92 chars omitted)
child 0, pick: string
child 1, scores: struct<QQQ: double, XLK: double, XLF: double, XLE: double, XLV: double, XLI: double, XLY: double, XL (... 62 chars omitted)
child 0, QQQ: double
child 1, XLK: double
child 2, XLF: double
child 3, XLE: double
child 4, XLV: double
child 5, XLI: double
child 6, XLY: double
child 7, XLP: double
child 8, XLU: double
child 9, GDX: double
child 10, XME: double
child 11, IWM: double
samples_fi: struct<TLT: list<item: double>, LQD: list<item: double>, HYG: list<item: double>, VNQ: list<item: do (... 56 chars omitted)
child 0, TLT: list<item: double>
child 0, item: double
child 1, LQD: list<item: double>
child 0, item: double
child 2, HYG: list<item: double>
child 0, item: double
child 3, VNQ: list<item: double>
child 0, item: double
child 4, GLD: list<item: double>
child 0, item: double
child 5, SLV: list<item: double>
child 0, item: double
samples_eq: struct<QQQ: list<item: double>, XLK: list<item: double>, XLF: list<item: double>, XLE: list<item: do (... 206 chars omitted)
child 0, QQQ: list<item: double>
child 0, item: double
child 1, XLK: list<item: double>
child 0, item: double
child 2, XLF: list<item: double>
child 0, item: double
child 3, XLE: list<item: double>
child 0, item: double
child 4, XLV: list<item: double>
child 0, item: double
child 5, XLI: list<item: double>
child 0, item: double
child 6, XLY: list<item: double>
child 0, item: double
child 7, XLP: list<item: double>
child 0, item: double
child 8, XLU: list<item: double>
child 0, item: double
child 9, GDX: list<item: double>
child 0, item: double
child 10, XME: list<item: double>
child 0, item: double
child 11, IWM: list<item: double>
child 0, item: double
equity_curve: list<item: double>
child 0, item: double
to
{'date': Value('timestamp[s]'), 'next_trading_day': Value('timestamp[s]'), 'FI': {'pick': Value('string'), 'scores': {'TLT': Value('float64'), 'LQD': Value('float64'), 'HYG': Value('float64'), 'VNQ': Value('float64'), 'GLD': Value('float64'), 'SLV': Value('float64')}}, 'EQ': {'pick': Value('string'), 'scores': {'QQQ': Value('float64'), 'XLK': Value('float64'), 'XLF': Value('float64'), 'XLE': Value('float64'), 'XLV': Value('float64'), 'XLI': Value('float64'), 'XLY': Value('float64'), 'XLP': Value('float64'), 'XLU': Value('float64'), 'GDX': Value('float64'), 'XME': Value('float64'), 'IWM': Value('float64')}}, 'samples_fi': {'TLT': List(Value('float64')), 'LQD': List(Value('float64')), 'HYG': List(Value('float64')), 'VNQ': List(Value('float64')), 'GLD': List(Value('float64')), 'SLV': List(Value('float64'))}, 'equity_curve': List(Value('float64'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
date: timestamp[s]
next_trading_day: timestamp[s]
FI: struct<pick: string, scores: struct<TLT: double, LQD: double, HYG: double, VNQ: double, GLD: double, (... 14 chars omitted)
child 0, pick: string
child 1, scores: struct<TLT: double, LQD: double, HYG: double, VNQ: double, GLD: double, SLV: double>
child 0, TLT: double
child 1, LQD: double
child 2, HYG: double
child 3, VNQ: double
child 4, GLD: double
child 5, SLV: double
EQ: struct<pick: string, scores: struct<QQQ: double, XLK: double, XLF: double, XLE: double, XLV: double, (... 92 chars omitted)
child 0, pick: string
child 1, scores: struct<QQQ: double, XLK: double, XLF: double, XLE: double, XLV: double, XLI: double, XLY: double, XL (... 62 chars omitted)
child 0, QQQ: double
child 1, XLK: double
child 2, XLF: double
child 3, XLE: double
child 4, XLV: double
child 5, XLI: double
child 6, XLY: double
child 7, XLP: double
child 8, XLU: double
child 9, GDX: double
child 10, XME: double
child 11, IWM: double
samples_fi: struct<TLT: list<item: double>, LQD: list<item: double>, HYG: list<item: double>, VNQ: list<item: do (... 56 chars omitted)
child 0, TLT: list<item: double>
child 0, item: double
child 1, LQD: list<item: double>
child 0, item: double
child 2, HYG: list<item: double>
child 0, item: double
child 3, VNQ: list<item: double>
child 0, item: double
child 4, GLD: list<item: double>
child 0, item: double
child 5, SLV: list<item: double>
child 0, item: double
samples_eq: struct<QQQ: list<item: double>, XLK: list<item: double>, XLF: list<item: double>, XLE: list<item: do (... 206 chars omitted)
child 0, QQQ: list<item: double>
child 0, item: double
child 1, XLK: list<item: double>
child 0, item: double
child 2, XLF: list<item: double>
child 0, item: double
child 3, XLE: list<item: double>
child 0, item: double
child 4, XLV: list<item: double>
child 0, item: double
child 5, XLI: list<item: double>
child 0, item: double
child 6, XLY: list<item: double>
child 0, item: double
child 7, XLP: list<item: double>
child 0, item: double
child 8, XLU: list<item: double>
child 0, item: double
child 9, GDX: list<item: double>
child 0, item: double
child 10, XME: list<item: double>
child 0, item: double
child 11, IWM: list<item: double>
child 0, item: double
equity_curve: list<item: double>
child 0, item: double
to
{'date': Value('timestamp[s]'), 'next_trading_day': Value('timestamp[s]'), 'FI': {'pick': Value('string'), 'scores': {'TLT': Value('float64'), 'LQD': Value('float64'), 'HYG': Value('float64'), 'VNQ': Value('float64'), 'GLD': Value('float64'), 'SLV': Value('float64')}}, 'EQ': {'pick': Value('string'), 'scores': {'QQQ': Value('float64'), 'XLK': Value('float64'), 'XLF': Value('float64'), 'XLE': Value('float64'), 'XLV': Value('float64'), 'XLI': Value('float64'), 'XLY': Value('float64'), 'XLP': Value('float64'), 'XLU': Value('float64'), 'GDX': Value('float64'), 'XME': Value('float64'), 'IWM': Value('float64')}}, 'samples_fi': {'TLT': List(Value('float64')), 'LQD': List(Value('float64')), 'HYG': List(Value('float64')), 'VNQ': List(Value('float64')), 'GLD': List(Value('float64')), 'SLV': List(Value('float64'))}, 'equity_curve': List(Value('float64'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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