Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
runner_on: struct<all: struct<n: int64, win_rate: double, avg_win_r: double, avg_loss_r: double, expectancy_r: (... 1155 chars omitted)
child 0, all: struct<n: int64, win_rate: double, avg_win_r: double, avg_loss_r: double, expectancy_r: double, prof (... 180 chars omitted)
child 0, n: int64
child 1, win_rate: double
child 2, avg_win_r: double
child 3, avg_loss_r: double
child 4, expectancy_r: double
child 5, profit_factor: double
child 6, max_dd: double
child 7, cagr: double
child 8, sharpe: double
child 9, sharpe_se: double
child 10, longest_losing_streak: int64
child 11, pct_hit_target: double
child 12, avg_hold_days: double
child 13, total_fees: double
child 1, in_sample: struct<n: int64, win_rate: double, avg_win_r: double, avg_loss_r: double, expectancy_r: double, prof (... 180 chars omitted)
child 0, n: int64
child 1, win_rate: double
child 2, avg_win_r: double
child 3, avg_loss_r: double
child 4, expectancy_r: double
child 5, profit_factor: double
child 6, max_dd: double
child 7, cagr: double
child 8, sharpe: double
child 9, sharpe_se: double
child 10, longest_losing_streak: int64
child 11, pct_hit_target: double
child 12, avg_hold_days: double
child 13, total_fees: double
child 2, out_of_sample: struct<n: int64, win_rate: double, avg_win_r: double, avg_loss_r: double, expectancy_r: double, prof
...
le
child 4, expectancy_r: double
child 5, profit_factor: double
child 6, max_dd: double
child 7, cagr: double
child 8, sharpe: double
child 9, sharpe_se: double
child 10, longest_losing_streak: int64
child 11, pct_hit_target: double
child 12, avg_hold_days: double
child 13, total_fees: double
child 3, gate: struct<oos_n_ge_100: bool, oos_expectancy_ge_0.2R: bool, oos_profit_factor_ge_1.3: bool, oos_max_dd_ (... 56 chars omitted)
child 0, oos_n_ge_100: bool
child 1, oos_expectancy_ge_0.2R: bool
child 2, oos_profit_factor_ge_1.3: bool
child 3, oos_max_dd_le_15pct: bool
child 4, oos_within_50pct_of_is_expectancy: bool
child 4, gate_passed: bool
child 5, open_positions: int64
child 6, final_equity: double
child 7, skip_reasons: struct<pullback: int64, atr_gate: int64, trend: int64, band_too_wide: int64, regime: int64, daily_lo (... 13 chars omitted)
child 0, pullback: int64
child 1, atr_gate: int64
child 2, trend: int64
child 3, band_too_wide: int64
child 4, regime: int64
child 5, daily_lockout: int64
meta: struct<date: timestamp[s], broker: string, data: string, costs: string, initial_equity: double, spli (... 48 chars omitted)
child 0, date: timestamp[s]
child 1, broker: string
child 2, data: string
child 3, costs: string
child 4, initial_equity: double
child 5, split: string
child 6, walk_forward: string
child 7, job_id: string
to
{'runner_on': {'all': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'in_sample': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'out_of_sample': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'gate': {'oos_n_ge_100': Value('bool'), 'oos_expectancy_ge_0.2R': Value('bool'), 'oos_profit_factor_ge_1.3': Value('bool')
...
e('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'in_sample': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'out_of_sample': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'gate': {'oos_n_ge_100': Value('bool'), 'oos_expectancy_ge_0.2R': Value('bool'), 'oos_profit_factor_ge_1.3': Value('bool'), 'oos_max_dd_le_15pct': Value('bool'), 'oos_within_50pct_of_is_expectancy': Value('bool')}, 'gate_passed': Value('bool'), 'open_positions': Value('int64'), 'final_equity': Value('float64'), 'skip_reasons': {'pullback': Value('int64'), 'atr_gate': Value('int64'), 'trend': Value('int64'), 'band_too_wide': Value('int64'), 'regime': Value('int64'), 'daily_lockout': Value('int64')}}}
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
runner_on: struct<all: struct<n: int64, win_rate: double, avg_win_r: double, avg_loss_r: double, expectancy_r: (... 1155 chars omitted)
child 0, all: struct<n: int64, win_rate: double, avg_win_r: double, avg_loss_r: double, expectancy_r: double, prof (... 180 chars omitted)
child 0, n: int64
child 1, win_rate: double
child 2, avg_win_r: double
child 3, avg_loss_r: double
child 4, expectancy_r: double
child 5, profit_factor: double
child 6, max_dd: double
child 7, cagr: double
child 8, sharpe: double
child 9, sharpe_se: double
child 10, longest_losing_streak: int64
child 11, pct_hit_target: double
child 12, avg_hold_days: double
child 13, total_fees: double
child 1, in_sample: struct<n: int64, win_rate: double, avg_win_r: double, avg_loss_r: double, expectancy_r: double, prof (... 180 chars omitted)
child 0, n: int64
child 1, win_rate: double
child 2, avg_win_r: double
child 3, avg_loss_r: double
child 4, expectancy_r: double
child 5, profit_factor: double
child 6, max_dd: double
child 7, cagr: double
child 8, sharpe: double
child 9, sharpe_se: double
child 10, longest_losing_streak: int64
child 11, pct_hit_target: double
child 12, avg_hold_days: double
child 13, total_fees: double
child 2, out_of_sample: struct<n: int64, win_rate: double, avg_win_r: double, avg_loss_r: double, expectancy_r: double, prof
...
le
child 4, expectancy_r: double
child 5, profit_factor: double
child 6, max_dd: double
child 7, cagr: double
child 8, sharpe: double
child 9, sharpe_se: double
child 10, longest_losing_streak: int64
child 11, pct_hit_target: double
child 12, avg_hold_days: double
child 13, total_fees: double
child 3, gate: struct<oos_n_ge_100: bool, oos_expectancy_ge_0.2R: bool, oos_profit_factor_ge_1.3: bool, oos_max_dd_ (... 56 chars omitted)
child 0, oos_n_ge_100: bool
child 1, oos_expectancy_ge_0.2R: bool
child 2, oos_profit_factor_ge_1.3: bool
child 3, oos_max_dd_le_15pct: bool
child 4, oos_within_50pct_of_is_expectancy: bool
child 4, gate_passed: bool
child 5, open_positions: int64
child 6, final_equity: double
child 7, skip_reasons: struct<pullback: int64, atr_gate: int64, trend: int64, band_too_wide: int64, regime: int64, daily_lo (... 13 chars omitted)
child 0, pullback: int64
child 1, atr_gate: int64
child 2, trend: int64
child 3, band_too_wide: int64
child 4, regime: int64
child 5, daily_lockout: int64
meta: struct<date: timestamp[s], broker: string, data: string, costs: string, initial_equity: double, spli (... 48 chars omitted)
child 0, date: timestamp[s]
child 1, broker: string
child 2, data: string
child 3, costs: string
child 4, initial_equity: double
child 5, split: string
child 6, walk_forward: string
child 7, job_id: string
to
{'runner_on': {'all': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'in_sample': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'out_of_sample': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'gate': {'oos_n_ge_100': Value('bool'), 'oos_expectancy_ge_0.2R': Value('bool'), 'oos_profit_factor_ge_1.3': Value('bool')
...
e('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'in_sample': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'out_of_sample': {'n': Value('int64'), 'win_rate': Value('float64'), 'avg_win_r': Value('float64'), 'avg_loss_r': Value('float64'), 'expectancy_r': Value('float64'), 'profit_factor': Value('float64'), 'max_dd': Value('float64'), 'cagr': Value('float64'), 'sharpe': Value('float64'), 'sharpe_se': Value('float64'), 'longest_losing_streak': Value('int64'), 'pct_hit_target': Value('float64'), 'avg_hold_days': Value('float64'), 'total_fees': Value('float64')}, 'gate': {'oos_n_ge_100': Value('bool'), 'oos_expectancy_ge_0.2R': Value('bool'), 'oos_profit_factor_ge_1.3': Value('bool'), 'oos_max_dd_le_15pct': Value('bool'), 'oos_within_50pct_of_is_expectancy': Value('bool')}, 'gate_passed': Value('bool'), 'open_positions': Value('int64'), 'final_equity': Value('float64'), 'skip_reasons': {'pullback': Value('int64'), 'atr_gate': Value('int64'), 'trend': Value('int64'), 'band_too_wide': Value('int64'), 'regime': Value('int64'), 'daily_lockout': Value('int64')}}}
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.
No dataset card yet
- Downloads last month
- 53