Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
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 23 new columns ({'mean_seed_ir', 'mean_best_sharpe', 'n_seeds', 'mean_best_aer', 'year', 'mean_seed_sharpe', 'mean_best_performance_return', 'mean_best_ic', 'mean_best_winrate', 'n_valid', 'mean_best_ir', 'vr_global', 'mean_seed_winrate', 'mean_seed_ic', 'mean_seed_performance_return', 'mean_seed_aer', 'n_calls', 'pass_at_3', 'vr_seed_mean', 'market_regime', 'mean_seed_mdd', 'mean_best_mdd', 'pass_at_5'}) and 2 missing columns ({'{', '__index_level_0__'}).
This happened while the csv dataset builder was generating data using
zip://seed_benchmark_2022_2026_custom/aggregate_yearly.csv::/tmp/hf-datasets-cache/medium/datasets/61121677601307-config-parquet-and-info-PuLam-seed_benchmark_2022-feaf5d8b/hub/datasets--PuLam--seed_benchmark_2022_2026_custom/snapshots/ad0ab7dd224e982d998c205c74890b7590ca32f7/seed_benchmark_2022_2026_custom.zip, [/tmp/hf-datasets-cache/medium/datasets/61121677601307-config-parquet-and-info-PuLam-seed_benchmark_2022-feaf5d8b/hub/datasets--PuLam--seed_benchmark_2022_2026_custom/snapshots/ad0ab7dd224e982d998c205c74890b7590ca32f7/seed_benchmark_2022_2026_custom.zip (origin=hf://datasets/PuLam/seed_benchmark_2022_2026_custom@ad0ab7dd224e982d998c205c74890b7590ca32f7/seed_benchmark_2022_2026_custom.zip)]
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 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
year: int64
market_regime: string
n_seeds: int64
n_calls: int64
n_valid: int64
vr_seed_mean: double
vr_global: double
pass_at_3: double
pass_at_5: double
mean_seed_performance_return: double
mean_seed_ir: double
mean_seed_ic: double
mean_seed_aer: double
mean_seed_sharpe: double
mean_seed_winrate: double
mean_seed_mdd: double
mean_best_performance_return: double
mean_best_ir: double
mean_best_ic: double
mean_best_aer: double
mean_best_sharpe: double
mean_best_winrate: double
mean_best_mdd: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3163
to
{'{': Value('float64'), '__index_level_0__': Value('string')}
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 1739, 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 1892, 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 23 new columns ({'mean_seed_ir', 'mean_best_sharpe', 'n_seeds', 'mean_best_aer', 'year', 'mean_seed_sharpe', 'mean_best_performance_return', 'mean_best_ic', 'mean_best_winrate', 'n_valid', 'mean_best_ir', 'vr_global', 'mean_seed_winrate', 'mean_seed_ic', 'mean_seed_performance_return', 'mean_seed_aer', 'n_calls', 'pass_at_3', 'vr_seed_mean', 'market_regime', 'mean_seed_mdd', 'mean_best_mdd', 'pass_at_5'}) and 2 missing columns ({'{', '__index_level_0__'}).
This happened while the csv dataset builder was generating data using
zip://seed_benchmark_2022_2026_custom/aggregate_yearly.csv::/tmp/hf-datasets-cache/medium/datasets/61121677601307-config-parquet-and-info-PuLam-seed_benchmark_2022-feaf5d8b/hub/datasets--PuLam--seed_benchmark_2022_2026_custom/snapshots/ad0ab7dd224e982d998c205c74890b7590ca32f7/seed_benchmark_2022_2026_custom.zip, [/tmp/hf-datasets-cache/medium/datasets/61121677601307-config-parquet-and-info-PuLam-seed_benchmark_2022-feaf5d8b/hub/datasets--PuLam--seed_benchmark_2022_2026_custom/snapshots/ad0ab7dd224e982d998c205c74890b7590ca32f7/seed_benchmark_2022_2026_custom.zip (origin=hf://datasets/PuLam/seed_benchmark_2022_2026_custom@ad0ab7dd224e982d998c205c74890b7590ca32f7/seed_benchmark_2022_2026_custom.zip)]
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
{ null | __index_level_0__ string |
|---|---|
null | "n_seeds": 99 |
null | "n_valid_seed_runs": 99 |
null | "beat_rate_ir": 0.40404040404040403 |
null | "vr_global": 0.9939148073022313 |
null | "vr_seed_mean": 0.9912457912457912 |
null | "pass_at_3": 0.7171717171717171 |
null | "pass_at_5": 0.8383838383838383 |
null | "mean_seed_performance_return": 0.02302534343434343 |
null | "mean_seed_ir": -0.3012724242424243 |
null | "mean_seed_ic": -0.002086888888888889 |
null | "mean_seed_aer": -0.04021819191919192 |
null | "mean_seed_sharpe": 0.07342155555555555 |
null | "mean_seed_winrate": 0.4777994141414141 |
null | "mean_seed_mdd": -0.5192714343434344 |
null | "mean_best_performance_return": 0.19769864646464647 |
null | "mean_best_ir": 0.019222333333333338 |
null | "mean_best_ic": 0.014748717171717175 |
null | "mean_best_aer": 0.0047691212121212115 |
null | "mean_best_sharpe": 0.3041180505050505 |
null | "mean_best_winrate": 0.4911099393939394 |
null | "mean_best_mdd": -0.3992035555555556 |
null | "mean_ir_improvement": -0.06331520202020202 |
null | "mean_ic_improvement": 0.01683560606060606 |
null | "mean_aer_improvement": 0.04498731313131314 |
null | "mean_sharpe_improvement": 0.2306964949494949 |
null | "mean_winrate_improvement": 0.013310525252525253 |
null | "mean_mdd_improvement": 0.1200678787878788 |
null | "mean_calls": 4.97979797979798 |
null | "mean_valid_calls": 4.94949494949495 |
null | "backtest_start_date": "2022-01-01" |
null | "backtest_end_date": "2026-12-31" |
null | "elapsed_sec": 19473.3 |
null | } |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
End of preview.
No dataset card yet
- Downloads last month
- 5