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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 1 new columns ({'generator'}) and 1 missing columns ({'domain'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Srishti280992/surpmark-repro-artifacts/hf_public_multi_benchmark/generator_average.csv (at revision 771b7f74887e981544d722ef709e664e362971e1), ['hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/domain_average.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/generator_average.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/method_average.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/method_average_orientation_check.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/setting_results.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/setting_results_orientation_check.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/text_feature_summary.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_t4_gpt2large/k_sweep_summary.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_t4_gpt2large/length_sweep_summary.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_t4_gpt2large/scores.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 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, 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 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              generator: string
              method: string
              avg_auroc: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 627
              to
              {'domain': Value('string'), 'method': Value('string'), 'avg_auroc': 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 1369, 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 948, 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 1683, 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 1839, 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 1 new columns ({'generator'}) and 1 missing columns ({'domain'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Srishti280992/surpmark-repro-artifacts/hf_public_multi_benchmark/generator_average.csv (at revision 771b7f74887e981544d722ef709e664e362971e1), ['hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/domain_average.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/generator_average.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/method_average.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/method_average_orientation_check.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/setting_results.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/setting_results_orientation_check.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_public_multi_benchmark/text_feature_summary.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_t4_gpt2large/k_sweep_summary.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_t4_gpt2large/length_sweep_summary.csv', 'hf://datasets/Srishti280992/surpmark-repro-artifacts@771b7f74887e981544d722ef709e664e362971e1/hf_t4_gpt2large/scores.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.

domain
string
method
string
avg_auroc
float64
amazon
DetectLRR_proxy
0.675625
amazon
Entropy
0.741875
amazon
Likelihood
0.259219
amazon
LogRank
0.264219
amazon
SurpMark_k6
0.79125
amazon
SurpMark_k7
0.791406
webtext
DetectLRR_proxy
0.845195
webtext
Entropy
0.805352
webtext
Likelihood
0.144648
webtext
LogRank
0.141719
webtext
SurpMark_k6
0.865313
webtext
SurpMark_k7
0.869492
null
DetectLRR_proxy
0.710625
null
Entropy
0.771719
null
Likelihood
0.250938
null
LogRank
0.250469
null
SurpMark_k6
0.766094
null
SurpMark_k7
0.770937
null
DetectLRR_proxy
0.902344
null
Entropy
0.83625
null
Likelihood
0.071406
null
LogRank
0.069531
null
SurpMark_k6
0.929063
null
SurpMark_k7
0.935
null
DetectLRR_proxy
0.968594
null
Entropy
0.890313
null
Likelihood
0.054219
null
LogRank
0.04625
null
SurpMark_k6
0.980156
null
SurpMark_k7
0.985469
null
DetectLRR_proxy
0.737422
null
Entropy
0.7325
null
Likelihood
0.230625
null
LogRank
0.232422
null
SurpMark_k6
0.788594
null
SurpMark_k7
0.788984
null
SurpMark_k7
0.853875
null
SurpMark_k6
0.8505
null
DetectLRR_proxy
0.811281
null
Entropy
0.792656
null
Likelihood
0.167563
null
LogRank
0.166219
null
SurpMark_k7
0.853875
null
SurpMark_k6
0.8505
null
LogRank
0.833781
null
Likelihood
0.832437
null
DetectLRR_proxy
0.811281
null
Entropy
0.792656
webtext
Likelihood
null
webtext
LogRank
null
webtext
Entropy
null
webtext
DetectLRR_proxy
null
webtext
SurpMark_k6
null
webtext
SurpMark_k7
null
webtext
Likelihood
null
webtext
LogRank
null
webtext
Entropy
null
webtext
DetectLRR_proxy
null
webtext
SurpMark_k6
null
webtext
SurpMark_k7
null
webtext
Likelihood
null
webtext
LogRank
null
webtext
Entropy
null
webtext
DetectLRR_proxy
null
webtext
SurpMark_k6
null
webtext
SurpMark_k7
null
webtext
Likelihood
null
webtext
LogRank
null
webtext
Entropy
null
webtext
DetectLRR_proxy
null
webtext
SurpMark_k6
null
webtext
SurpMark_k7
null
amazon
Likelihood
null
amazon
LogRank
null
amazon
Entropy
null
amazon
DetectLRR_proxy
null
amazon
SurpMark_k6
null
amazon
SurpMark_k7
null
webtext
Likelihood
null
webtext
LogRank
null
webtext
Entropy
null
webtext
DetectLRR_proxy
null
webtext
SurpMark_k6
null
webtext
SurpMark_k7
null
webtext
Likelihood
null
webtext
LogRank
null
webtext
Entropy
null
webtext
DetectLRR_proxy
null
webtext
SurpMark_k6
null
webtext
SurpMark_k7
null
webtext
Likelihood
null
webtext
LogRank
null
webtext
Entropy
null
webtext
DetectLRR_proxy
null
webtext
SurpMark_k6
null
webtext
SurpMark_k7
null
webtext
Likelihood
null
webtext
LogRank
null
webtext
Entropy
null
webtext
DetectLRR_proxy
null
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