Datasets:

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P2SAMAPA

/

P2-ETF-DQN-ENGINE-DATASET

like 0

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 17 new columns ({'benchmark_equity', 'final_equity', 'ann_return', 'calmar', 'z_reentry', 'n_test_days', 'hit_ratio', 'tsl_pct', 'allocations', 'evaluated_at', 'benchmark_sharpe', 'benchmark_ann', 'max_drawdown', 'allocation_pct', 'sharpe', 'test_dates', 'equity_curve'}) and 12 missing columns ({'test_sharpe', 'history', 'val_days', 'n_episodes', 'train_days', 'test_equity', 'trained_at', 'test_days', 'best_val_sharpe', 'lookback', 'n_features', 'state_size'}).

This happened while the json dataset builder was generating data using

hf://datasets/P2SAMAPA/P2-ETF-DQN-ENGINE-DATASET/results/evaluation_results.json (at revision df65343dc3186b156600c312fa9c393a9c886c48), [/tmp/hf-datasets-cache/medium/datasets/73914331800540-config-parquet-and-info-P2SAMAPA-P2-ETF-DQN-ENGIN-a2e76d5a/hub/datasets--P2SAMAPA--P2-ETF-DQN-ENGINE-DATASET/snapshots/df65343dc3186b156600c312fa9c393a9c886c48/results/evaluation_results.json (origin=hf://datasets/P2SAMAPA/P2-ETF-DQN-ENGINE-DATASET@df65343dc3186b156600c312fa9c393a9c886c48/results/evaluation_results.json)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              start_year: int64
              evaluated_at: string
              n_test_days: int64
              ann_return: double
              sharpe: double
              max_drawdown: double
              calmar: double
              hit_ratio: double
              final_equity: double
              benchmark_sharpe: struct<SPY: double, AGG: double>
                child 0, SPY: double
                child 1, AGG: double
              benchmark_ann: struct<SPY: double, AGG: double>
                child 0, SPY: double
                child 1, AGG: double
              benchmark_equity: struct<SPY: list<item: double>, AGG: list<item: double>>
                child 0, SPY: list<item: double>
                    child 0, item: double
                child 1, AGG: list<item: double>
                    child 0, item: double
              test_dates: list<item: timestamp[s]>
                child 0, item: timestamp[s]
              allocation_pct: struct<SLV: double, GLD: double, TLT: double, VNQ: double, CASH: double, HYG: double, LQD: double>
                child 0, SLV: double
                child 1, GLD: double
                child 2, TLT: double
                child 3, VNQ: double
                child 4, CASH: double
                child 5, HYG: double
                child 6, LQD: double
              equity_curve: list<item: double>
                child 0, item: double
              allocations: list<item: string>
                child 0, item: string
              fee_bps: int64
              tsl_pct: double
              z_reentry: double
              to
              {'start_year': Value('int64'), 'n_episodes': Value('int64'), 'fee_bps': Value('int64'), 'lookback': Value('int64'), 'state_size': Value('int64'), 'n_features': Value('int64'), 'trained_at': Value('string'), 'best_val_sharpe': Value('float64'), 'test_sharpe': Value('float64'), 'test_equity': Value('float64'), 'train_days': Value('int64'), 'val_days': Value('int64'), 'test_days': Value('int64'), 'history': List({'episode': Value('int64'), 'train_sharpe': Value('float64'), 'train_equity': Value('float64'), 'val_sharpe': Value('float64'), 'val_equity': Value('float64'), 'avg_loss': Value('float64'), 'epsilon': Value('float64')})}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 17 new columns ({'benchmark_equity', 'final_equity', 'ann_return', 'calmar', 'z_reentry', 'n_test_days', 'hit_ratio', 'tsl_pct', 'allocations', 'evaluated_at', 'benchmark_sharpe', 'benchmark_ann', 'max_drawdown', 'allocation_pct', 'sharpe', 'test_dates', 'equity_curve'}) and 12 missing columns ({'test_sharpe', 'history', 'val_days', 'n_episodes', 'train_days', 'test_equity', 'trained_at', 'test_days', 'best_val_sharpe', 'lookback', 'n_features', 'state_size'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/P2SAMAPA/P2-ETF-DQN-ENGINE-DATASET/results/evaluation_results.json (at revision df65343dc3186b156600c312fa9c393a9c886c48), [/tmp/hf-datasets-cache/medium/datasets/73914331800540-config-parquet-and-info-P2SAMAPA-P2-ETF-DQN-ENGIN-a2e76d5a/hub/datasets--P2SAMAPA--P2-ETF-DQN-ENGINE-DATASET/snapshots/df65343dc3186b156600c312fa9c393a9c886c48/results/evaluation_results.json (origin=hf://datasets/P2SAMAPA/P2-ETF-DQN-ENGINE-DATASET@df65343dc3186b156600c312fa9c393a9c886c48/results/evaluation_results.json)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)