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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 7 new columns ({'paired_regression', 'budget', 'recovery', 'acceptance', 'seed', 'u_boundary_score', 'u_boundary_hash'}) and 8 missing columns ({'J', 'y1', 'fold', 'predicted_y1', 'squared_error', 'y0', 'task_id', 'family_id'}).
This happened while the csv dataset builder was generating data using
hf://datasets/blindpeerbench/replay/local_deployment.csv (at revision 681f763e0665e14929014c495218acbf50532598), ['hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/diagnostic_m.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/local_deployment.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/local_retrieval_v.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/paired_intervals.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/primary_paired_contrasts.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_02_mse.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_03_original_confirmation.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_04_added_confirmation.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_05_cold_cost.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_06_pool_sizes.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_07_funnel.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_08_retries.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_09_ablations.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_10_budget_path.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_11_sensitivity.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_12_policy_controls.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_13_operational_cost.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_14_equal_cost.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_15_top_k.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_16_card_controls.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_17_blinded_audit.csv']
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/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
update: int64
seed: int64
method: string
budget: int64
recovery: double
paired_regression: double
acceptance: double
u_boundary_score: double
u_boundary_hash: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1350
to
{'update': Value('int64'), 'method': Value('string'), 'task_id': Value('string'), 'family_id': Value('string'), 'fold': Value('int64'), 'y0': Value('float64'), 'y1': Value('float64'), 'predicted_y1': Value('float64'), 'squared_error': Value('float64'), 'J': Value('int64')}
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 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 7 new columns ({'paired_regression', 'budget', 'recovery', 'acceptance', 'seed', 'u_boundary_score', 'u_boundary_hash'}) and 8 missing columns ({'J', 'y1', 'fold', 'predicted_y1', 'squared_error', 'y0', 'task_id', 'family_id'}).
This happened while the csv dataset builder was generating data using
hf://datasets/blindpeerbench/replay/local_deployment.csv (at revision 681f763e0665e14929014c495218acbf50532598), ['hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/diagnostic_m.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/local_deployment.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/local_retrieval_v.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/paired_intervals.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/primary_paired_contrasts.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_02_mse.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_03_original_confirmation.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_04_added_confirmation.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_05_cold_cost.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_06_pool_sizes.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_07_funnel.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_08_retries.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_09_ablations.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_10_budget_path.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_11_sensitivity.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_12_policy_controls.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_13_operational_cost.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_14_equal_cost.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_15_top_k.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_16_card_controls.csv', 'hf://datasets/blindpeerbench/replay@681f763e0665e14929014c495218acbf50532598/reported/table_17_blinded_audit.csv']
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.
update int64 | method string | task_id string | family_id string | fold int64 | y0 float64 | y1 float64 | predicted_y1 float64 | squared_error float64 | J int64 |
|---|---|---|---|---|---|---|---|---|---|
1 | A | m-0220-0000 | repo-0220 | 0 | 0.333333 | 0 | 0.175777 | 0.030898 | 1 |
1 | A | m-0221-0000 | repo-0221 | 1 | 0 | -0.666667 | 0.241363 | 0.824517 | 2 |
1 | A | m-0222-0000 | repo-0222 | 2 | -0.666667 | 0.333333 | -0.040152 | 0.139492 | 2 |
1 | A | m-0223-0000 | repo-0223 | 3 | 0 | 0.333333 | 0.209987 | 0.015214 | 2 |
1 | A | m-0224-0000 | repo-0224 | 4 | 0.666667 | -0.333333 | 0.124546 | 0.209653 | 2 |
1 | A | m-0225-0000 | repo-0225 | 0 | 0.333333 | 0 | 0.269818 | 0.072802 | 2 |
1 | A | m-0226-0000 | repo-0226 | 1 | -0.333333 | 0 | 0.040713 | 0.001658 | 2 |
1 | A | m-0227-0000 | repo-0227 | 2 | 0.333333 | -0.333333 | 0.147313 | 0.231021 | 2 |
1 | A | m-0228-0000 | repo-0228 | 3 | 0 | -0.666667 | 0.213903 | 0.775402 | 2 |
1 | A | m-0229-0000 | repo-0229 | 4 | 0 | 0.333333 | 0.288672 | 0.001995 | 2 |
1 | A | m-0230-0000 | repo-0230 | 0 | 0.333333 | 0.333333 | 0.208814 | 0.015505 | 1 |
1 | A | m-0231-0000 | repo-0231 | 1 | 0 | 0 | 0.157349 | 0.024759 | 1 |
1 | A | m-0232-0000 | repo-0232 | 2 | -0.333333 | 0 | -0.004638 | 0.000022 | 2 |
1 | A | m-0233-0000 | repo-0233 | 3 | 0 | 0 | 0.172718 | 0.029832 | 2 |
1 | A | m-0234-0000 | repo-0234 | 4 | 0.666667 | -0.333333 | 0.154857 | 0.23833 | 2 |
1 | A | m-0235-0000 | repo-0235 | 0 | 0.666667 | 0.333333 | 0.416536 | 0.006923 | 2 |
1 | A | m-0236-0000 | repo-0236 | 1 | -0.333333 | 0 | 0.089493 | 0.008009 | 1 |
1 | A | m-0237-0000 | repo-0237 | 2 | 0 | -0.333333 | 0.240146 | 0.328879 | 2 |
1 | A | m-0238-0000 | repo-0238 | 3 | 0 | 0.333333 | 0.320068 | 0.000176 | 1 |
1 | A | m-0239-0000 | repo-0239 | 4 | 0.333333 | 0.666667 | 0.113942 | 0.305505 | 1 |
1 | A | m-0240-0000 | repo-0240 | 0 | -0.333333 | 0 | 0.039698 | 0.001576 | 1 |
1 | A | m-0241-0000 | repo-0241 | 1 | 0 | 0.333333 | 0.26069 | 0.005277 | 2 |
1 | A | m-0242-0000 | repo-0242 | 2 | 1 | 0.333333 | 0.604381 | 0.073467 | 2 |
1 | A | m-0243-0000 | repo-0243 | 3 | 0 | -0.333333 | 0.139045 | 0.223142 | 2 |
1 | A | m-0244-0000 | repo-0244 | 4 | 0.666667 | 0.333333 | 0.101666 | 0.05367 | 2 |
1 | A | m-0245-0000 | repo-0245 | 0 | 0.333333 | 0.333333 | 0.17772 | 0.024215 | 2 |
1 | A | m-0246-0000 | repo-0246 | 1 | 0 | 0 | 0.157651 | 0.024854 | 2 |
1 | A | m-0247-0000 | repo-0247 | 2 | 0 | 0.333333 | 0.225121 | 0.01171 | 1 |
1 | A | m-0248-0000 | repo-0248 | 3 | 0 | -0.333333 | 0.073894 | 0.165834 | 2 |
1 | A | m-0249-0000 | repo-0249 | 4 | -0.333333 | 0.333333 | 0.14633 | 0.03497 | 2 |
1 | A | m-0250-0000 | repo-0250 | 0 | 0.333333 | 0.333333 | 0.290322 | 0.00185 | 2 |
1 | A | m-0251-0000 | repo-0251 | 1 | 0.333333 | 0.666667 | 0.06136 | 0.366396 | 2 |
1 | A | m-0252-0000 | repo-0252 | 2 | 0 | 0 | 0.245954 | 0.060494 | 2 |
1 | A | m-0253-0000 | repo-0253 | 3 | 0.333333 | 0 | 0.109575 | 0.012007 | 2 |
1 | A | m-0254-0000 | repo-0254 | 4 | 0.333333 | -0.333333 | 0.094628 | 0.183151 | 2 |
1 | A | m-0255-0000 | repo-0255 | 0 | 0.333333 | -0.333333 | 0.179075 | 0.262562 | 2 |
1 | A | m-0256-0000 | repo-0256 | 1 | -0.333333 | 0.666667 | 0.110769 | 0.309022 | 1 |
1 | A | m-0257-0000 | repo-0257 | 2 | 0 | 0 | -0.0433 | 0.001875 | 2 |
1 | A | m-0258-0000 | repo-0258 | 3 | -0.666667 | 0.666667 | 0.092563 | 0.329596 | 2 |
1 | A | m-0259-0000 | repo-0259 | 4 | 0.333333 | 0.666667 | 0.086839 | 0.3362 | 1 |
1 | A | m-0220-0001 | repo-0220 | 0 | 0 | 0.333333 | 0.16284 | 0.029068 | 2 |
1 | A | m-0221-0001 | repo-0221 | 1 | 0 | 0.333333 | 0.157111 | 0.031054 | 2 |
1 | A | m-0222-0001 | repo-0222 | 2 | 0 | 0.666667 | 0.137729 | 0.279775 | 2 |
1 | A | m-0223-0001 | repo-0223 | 3 | -0.666667 | 0.333333 | -0.258965 | 0.350817 | 2 |
1 | A | m-0224-0001 | repo-0224 | 4 | 0 | 0.333333 | 0.178884 | 0.023855 | 2 |
1 | A | m-0225-0001 | repo-0225 | 0 | -0.333333 | 0.666667 | -0.012173 | 0.460823 | 2 |
1 | A | m-0226-0001 | repo-0226 | 1 | 0 | 0 | 0.184278 | 0.033958 | 2 |
1 | A | m-0227-0001 | repo-0227 | 2 | 0.333333 | 0 | 0.178751 | 0.031952 | 2 |
1 | A | m-0228-0001 | repo-0228 | 3 | 0.333333 | 0 | 0.232862 | 0.054225 | 2 |
1 | A | m-0229-0001 | repo-0229 | 4 | 0.333333 | 0.666667 | 0.261131 | 0.164459 | 2 |
1 | A | m-0230-0001 | repo-0230 | 0 | 0.333333 | -1 | 0.266334 | 1.603603 | 1 |
1 | A | m-0231-0001 | repo-0231 | 1 | 0.666667 | 0 | 0.289304 | 0.083697 | 2 |
1 | A | m-0232-0001 | repo-0232 | 2 | 0.333333 | 0 | 0.108699 | 0.011815 | 2 |
1 | A | m-0233-0001 | repo-0233 | 3 | -0.333333 | 0 | 0.208119 | 0.043313 | 1 |
1 | A | m-0234-0001 | repo-0234 | 4 | -0.333333 | -0.666667 | 0.20873 | 0.76632 | 1 |
1 | A | m-0235-0001 | repo-0235 | 0 | 0.333333 | -0.666667 | 0.251587 | 0.843189 | 2 |
1 | A | m-0236-0001 | repo-0236 | 1 | 0.333333 | 0.333333 | 0.123871 | 0.043874 | 2 |
1 | A | m-0237-0001 | repo-0237 | 2 | 0 | -0.333333 | 0.160385 | 0.243758 | 2 |
1 | A | m-0238-0001 | repo-0238 | 3 | 0.333333 | 0.333333 | 0.164047 | 0.028658 | 1 |
1 | A | m-0239-0001 | repo-0239 | 4 | 0.666667 | 0.333333 | 0.191623 | 0.020082 | 2 |
1 | A | m-0240-0001 | repo-0240 | 0 | 0 | 0.666667 | 0.175259 | 0.241482 | 2 |
1 | A | m-0241-0001 | repo-0241 | 1 | -0.333333 | 0.333333 | 0.093114 | 0.057706 | 1 |
1 | A | m-0242-0001 | repo-0242 | 2 | 0 | 0 | 0.154661 | 0.02392 | 2 |
1 | A | m-0243-0001 | repo-0243 | 3 | 0 | -0.333333 | 0.288736 | 0.38697 | 2 |
1 | A | m-0244-0001 | repo-0244 | 4 | 0 | 0.333333 | 0.126107 | 0.042943 | 1 |
1 | A | m-0245-0001 | repo-0245 | 0 | 0 | 0.666667 | 0.115878 | 0.303368 | 1 |
1 | A | m-0246-0001 | repo-0246 | 1 | 0.333333 | -0.333333 | 0.0865 | 0.17626 | 2 |
1 | A | m-0247-0001 | repo-0247 | 2 | 0.333333 | -0.333333 | 0.258356 | 0.350096 | 2 |
1 | A | m-0248-0001 | repo-0248 | 3 | 0 | 0 | 0.238451 | 0.056859 | 2 |
1 | A | m-0249-0001 | repo-0249 | 4 | 0.333333 | 0.333333 | 0.175767 | 0.024827 | 1 |
1 | A | m-0250-0001 | repo-0250 | 0 | 0 | -0.666667 | 0.132445 | 0.638579 | 2 |
1 | A | m-0251-0001 | repo-0251 | 1 | 0.666667 | -0.333333 | 0.188538 | 0.27235 | 2 |
1 | A | m-0252-0001 | repo-0252 | 2 | 0.333333 | 0.666667 | 0.243854 | 0.17877 | 1 |
1 | A | m-0253-0001 | repo-0253 | 3 | 0.666667 | -0.333333 | 0.296691 | 0.396931 | 2 |
1 | A | m-0254-0001 | repo-0254 | 4 | 0 | 0.333333 | 0.185235 | 0.021933 | 2 |
1 | A | m-0255-0001 | repo-0255 | 0 | 0 | 0.333333 | 0.103213 | 0.052955 | 2 |
1 | A | m-0256-0001 | repo-0256 | 1 | 0.333333 | 0.666667 | 0.239988 | 0.182055 | 2 |
1 | A | m-0257-0001 | repo-0257 | 2 | 0 | 0.333333 | 0.114218 | 0.048011 | 2 |
1 | A | m-0258-0001 | repo-0258 | 3 | 0.333333 | 0 | 0.118517 | 0.014046 | 1 |
1 | A | m-0259-0001 | repo-0259 | 4 | -0.333333 | 0.333333 | 0.017754 | 0.099591 | 2 |
1 | A | m-0220-0002 | repo-0220 | 0 | 0.333333 | 0.666667 | 0.206636 | 0.211628 | 1 |
1 | A | m-0221-0002 | repo-0221 | 1 | 0.333333 | 0.333333 | 0.260294 | 0.005335 | 1 |
1 | A | m-0222-0002 | repo-0222 | 2 | 0.333333 | 0.333333 | 0.221944 | 0.012408 | 2 |
1 | A | m-0223-0002 | repo-0223 | 3 | 0 | 0 | 0.196827 | 0.038741 | 2 |
1 | A | m-0224-0002 | repo-0224 | 4 | 0.333333 | 1 | 0.330339 | 0.448445 | 1 |
1 | A | m-0225-0002 | repo-0225 | 0 | 1 | 0.666667 | 0.615137 | 0.002655 | 2 |
1 | A | m-0226-0002 | repo-0226 | 1 | 0 | 0 | 0.146016 | 0.021321 | 1 |
1 | A | m-0227-0002 | repo-0227 | 2 | 0.333333 | 0 | 0.201554 | 0.040624 | 1 |
1 | A | m-0228-0002 | repo-0228 | 3 | 0.333333 | 0 | 0.214472 | 0.045998 | 1 |
1 | A | m-0229-0002 | repo-0229 | 4 | 0 | -0.333333 | 0.181381 | 0.264931 | 2 |
1 | A | m-0230-0002 | repo-0230 | 0 | -0.333333 | 0 | 0.002409 | 0.000006 | 1 |
1 | A | m-0231-0002 | repo-0231 | 1 | 0 | 0 | 0.059294 | 0.003516 | 2 |
1 | A | m-0232-0002 | repo-0232 | 2 | -0.333333 | 0 | -0.051499 | 0.002652 | 2 |
1 | A | m-0233-0002 | repo-0233 | 3 | 0.333333 | 0.333333 | 0.205966 | 0.016222 | 2 |
1 | A | m-0234-0002 | repo-0234 | 4 | 0 | 0.333333 | 0.073655 | 0.067433 | 2 |
1 | A | m-0235-0002 | repo-0235 | 0 | 0 | 0.333333 | 0.107267 | 0.051106 | 2 |
1 | A | m-0236-0002 | repo-0236 | 1 | -0.333333 | 0.333333 | 0.039163 | 0.086536 | 1 |
1 | A | m-0237-0002 | repo-0237 | 2 | 0 | 0.333333 | 0.147888 | 0.03439 | 2 |
1 | A | m-0238-0002 | repo-0238 | 3 | 0.333333 | 0 | 0.161579 | 0.026108 | 1 |
1 | A | m-0239-0002 | repo-0239 | 4 | 0.333333 | -0.333333 | 0.168676 | 0.252014 | 2 |
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