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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)

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update
int64
method
string
task_id
string
family_id
string
fold
int64
y0
float64
y1
float64
predicted_y1
float64
squared_error
float64
J
int64
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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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