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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 10 new columns ({'probe_confidence', 'equiv_step_gt_prob', 'probe_entropy', 'equiv_step_confidence', 'ground_truth', 'bad_name', 'probe_gt_prob', 'group', 'equiv_step_entropy', 'severity'}) and 8 missing columns ({'argmax_confidence', 'gt_token_rank', 'matches_gt', 'entropy', 'gt_token_prob', 'is_mask', 'step', 'decoded'}).

This happened while the csv dataset builder was generating data using

hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion/noise_mapping_diffucoder_20260225_200758.csv (at revision 3564b1f7378fcf103ce704da5906c5ba54261d37), [/tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_calibration_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_calibration_diffucoder_20260225_200758.csv), /tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_mapping_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_mapping_diffucoder_20260225_200758.csv), /tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_numeric_summary_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_numeric_summary_diffucoder_20260225_200758.csv), /tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_probe_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_probe_diffucoder_20260225_200758.csv), /tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_summary_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_summary_diffucoder_20260225_200758.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/python3.12/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
              sample_id: int64
              run_id: int64
              group: string
              severity: string
              bad_name: string
              ground_truth: string
              equiv_step_entropy: int64
              equiv_step_gt_prob: int64
              equiv_step_confidence: int64
              probe_entropy: double
              probe_gt_prob: double
              probe_confidence: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1744
              to
              {'sample_id': Value('int64'), 'run_id': Value('int64'), 'step': Value('int64'), 'entropy': Value('float64'), 'argmax_confidence': Value('float64'), 'gt_token_prob': Value('float64'), 'gt_token_rank': Value('float64'), 'is_mask': Value('bool'), 'matches_gt': Value('bool'), 'decoded': 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 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 10 new columns ({'probe_confidence', 'equiv_step_gt_prob', 'probe_entropy', 'equiv_step_confidence', 'ground_truth', 'bad_name', 'probe_gt_prob', 'group', 'equiv_step_entropy', 'severity'}) and 8 missing columns ({'argmax_confidence', 'gt_token_rank', 'matches_gt', 'entropy', 'gt_token_prob', 'is_mask', 'step', 'decoded'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion/noise_mapping_diffucoder_20260225_200758.csv (at revision 3564b1f7378fcf103ce704da5906c5ba54261d37), [/tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_calibration_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_calibration_diffucoder_20260225_200758.csv), /tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_mapping_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_mapping_diffucoder_20260225_200758.csv), /tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_numeric_summary_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_numeric_summary_diffucoder_20260225_200758.csv), /tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_probe_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_probe_diffucoder_20260225_200758.csv), /tmp/hf-datasets-cache/medium/datasets/80480104719311-config-parquet-and-info-D4vidHuang-code_smell_256-90305a69/hub/datasets--D4vidHuang--code_smell_256Steps_CoRefusion/snapshots/3564b1f7378fcf103ce704da5906c5ba54261d37/noise_summary_diffucoder_20260225_200758.csv (origin=hf://datasets/D4vidHuang/code_smell_256Steps_CoRefusion@3564b1f7378fcf103ce704da5906c5ba54261d37/noise_summary_diffucoder_20260225_200758.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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sample_id int64	run_id int64	step int64	entropy float64	argmax_confidence float64	gt_token_prob float64	gt_token_rank float64	is_mask bool	matches_gt bool	decoded string
11	1	0	0.142946	0.979215	0.000001	111	true	false	mask
11	1	1	0.804621	0.691122	0.000861	8	false	false	null
11	1	2	0.804621	0.691122	0.000861	8	false	false	null
11	1	3	0.804621	0.691122	0.000861	8	false	false	null
11	1	4	0.804621	0.691122	0.000861	8	false	false	null
11	1	5	0.804621	0.691122	0.000861	8	false	false	null
11	1	6	0.804621	0.691122	0.000861	8	false	false	null
11	1	7	0.804621	0.691122	0.000861	8	false	false	null
11	1	8	0.804621	0.691122	0.000861	8	false	false	null
11	1	9	0.804621	0.691122	0.000861	8	false	false	null
11	1	10	0.804621	0.691122	0.000861	8	false	false	null
11	1	11	0.804621	0.691122	0.000861	8	false	false	null
11	1	12	0.804621	0.691122	0.000861	8	false	false	null
11	1	13	0.804621	0.691122	0.000861	8	false	false	null
11	1	14	0.804621	0.691122	0.000861	8	false	false	null
11	1	15	0.804621	0.691122	0.000861	8	false	false	null
11	1	16	0.804621	0.691122	0.000861	8	false	false	null
11	1	17	0.804621	0.691122	0.000861	8	false	false	null
11	1	18	0.804621	0.691122	0.000861	8	false	false	null
11	1	19	0.804621	0.691122	0.000861	8	false	false	null
11	1	20	0.804621	0.691122	0.000861	8	false	false	null
11	1	21	0.804621	0.691122	0.000861	8	false	false	null
11	1	22	0.804621	0.691122	0.000861	8	false	false	null
11	1	23	0.804621	0.691122	0.000861	8	false	false	null
11	1	24	0.804621	0.691122	0.000861	8	false	false	null
11	1	25	0.804621	0.691122	0.000861	8	false	false	null
11	1	26	0.804621	0.691122	0.000861	8	false	false	null
11	1	27	0.804621	0.691122	0.000861	8	false	false	null
11	1	28	0.804621	0.691122	0.000861	8	false	false	null
11	1	29	0.804621	0.691122	0.000861	8	false	false	null
11	1	30	0.804621	0.691122	0.000861	8	false	false	null
11	1	31	0.804621	0.691122	0.000861	8	false	false	null
11	1	32	0.804621	0.691122	0.000861	8	false	false	null
11	1	33	0.804621	0.691122	0.000861	8	false	false	null
11	1	34	0.804621	0.691122	0.000861	8	false	false	null
11	1	35	0.804621	0.691122	0.000861	8	false	false	null
11	1	36	0.804621	0.691122	0.000861	8	false	false	null
11	1	37	0.804621	0.691122	0.000861	8	false	false	null
11	1	38	0.804621	0.691122	0.000861	8	false	false	null
11	1	39	0.804621	0.691122	0.000861	8	false	false	null
11	1	40	0.804621	0.691122	0.000861	8	false	false	null
11	1	41	0.804621	0.691122	0.000861	8	false	false	null
11	1	42	0.804621	0.691122	0.000861	8	false	false	null
11	1	43	0.804621	0.691122	0.000861	8	false	false	null
11	1	44	0.804621	0.691122	0.000861	8	false	false	null
11	1	45	0.804621	0.691122	0.000861	8	false	false	null
11	1	46	0.804621	0.691122	0.000861	8	false	false	null
11	1	47	0.804621	0.691122	0.000861	8	false	false	null
11	1	48	0.804621	0.691122	0.000861	8	false	false	null
11	1	49	0.804621	0.691122	0.000861	8	false	false	null
11	1	50	0.804621	0.691122	0.000861	8	false	false	null
11	1	51	0.804621	0.691122	0.000861	8	false	false	null
11	1	52	0.804621	0.691122	0.000861	8	false	false	null
11	1	53	0.804621	0.691122	0.000861	8	false	false	null
11	1	54	0.804621	0.691122	0.000861	8	false	false	null
11	1	55	0.804621	0.691122	0.000861	8	false	false	null
11	1	56	0.804621	0.691122	0.000861	8	false	false	null
11	1	57	0.804621	0.691122	0.000861	8	false	false	null
11	1	58	0.804621	0.691122	0.000861	8	false	false	null
11	1	59	0.804621	0.691122	0.000861	8	false	false	null
11	1	60	0.804621	0.691122	0.000861	8	false	false	null
11	1	61	0.804621	0.691122	0.000861	8	false	false	null
11	1	62	0.804621	0.691122	0.000861	8	false	false	null
11	1	63	0.804621	0.691122	0.000861	8	false	false	null
11	1	64	0.804621	0.691122	0.000861	8	false	false	null
11	1	65	0.804621	0.691122	0.000861	8	false	false	null
11	1	66	0.804621	0.691122	0.000861	8	false	false	null
11	1	67	0.804621	0.691122	0.000861	8	false	false	null
11	1	68	0.804621	0.691122	0.000861	8	false	false	null
11	1	69	0.804621	0.691122	0.000861	8	false	false	null
11	1	70	0.804621	0.691122	0.000861	8	false	false	null
11	1	71	0.804621	0.691122	0.000861	8	false	false	null
11	1	72	0.804621	0.691122	0.000861	8	false	false	null
11	1	73	0.804621	0.691122	0.000861	8	false	false	null
11	1	74	0.804621	0.691122	0.000861	8	false	false	null
11	1	75	0.804621	0.691122	0.000861	8	false	false	null
11	1	76	0.804621	0.691122	0.000861	8	false	false	null
11	1	77	0.804621	0.691122	0.000861	8	false	false	null
11	1	78	0.804621	0.691122	0.000861	8	false	false	null
11	1	79	0.804621	0.691122	0.000861	8	false	false	null
11	1	80	0.804621	0.691122	0.000861	8	false	false	null
11	1	81	0.804621	0.691122	0.000861	8	false	false	null
11	1	82	0.804621	0.691122	0.000861	8	false	false	null
11	1	83	0.804621	0.691122	0.000861	8	false	false	null
11	1	84	0.804621	0.691122	0.000861	8	false	false	null
11	1	85	0.804621	0.691122	0.000861	8	false	false	null
11	1	86	0.804621	0.691122	0.000861	8	false	false	null
11	1	87	0.804621	0.691122	0.000861	8	false	false	null
11	1	88	0.804621	0.691122	0.000861	8	false	false	null
11	1	89	0.804621	0.691122	0.000861	8	false	false	null
11	1	90	0.804621	0.691122	0.000861	8	false	false	null
11	1	91	0.804621	0.691122	0.000861	8	false	false	null
11	1	92	0.804621	0.691122	0.000861	8	false	false	null
11	1	93	0.804621	0.691122	0.000861	8	false	false	null
11	1	94	0.804621	0.691122	0.000861	8	false	false	null
11	1	95	0.804621	0.691122	0.000861	8	false	false	null
11	1	96	0.804621	0.691122	0.000861	8	false	false	null
11	1	97	0.804621	0.691122	0.000861	8	false	false	null
11	1	98	0.804621	0.691122	0.000861	8	false	false	null
11	1	99	0.804621	0.691122	0.000861	8	false	false	null

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