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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
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 match

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