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eddyliu-hf
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clean_labeled_dataset

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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 ({'menopause', 'breast', 'Class', 'breast-quad', 'age', 'tumor-size', 'node-caps', 'irradiat', 'deg-malig', 'inv-nodes'}) and 6 missing columns ({'mcv', 'sgot', 'gammagt', 'drinks', 'alkphos', 'sgpt'}).

This happened while the csv dataset builder was generating data using

zip://clean_labeled_dataset/0010_breast-cancer.csv::/tmp/hf-datasets-cache/medium/datasets/19054925984507-config-parquet-and-info-eddyliu-hf-clean_labeled_-35c6d72f/hub/datasets--eddyliu-hf--clean_labeled_dataset/snapshots/3e9e49c9e86f6faf4528a0f15ef44bed6eeced42/clean_labeled_dataset.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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
              age: string
              menopause: string
              tumor-size: string
              inv-nodes: string
              node-caps: string
              deg-malig: int64
              breast: string
              breast-quad: string
              irradiat: string
              Class: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1416
              to
              {'mcv': Value('float64'), 'alkphos': Value('float64'), 'sgpt': Value('float64'), 'sgot': Value('float64'), 'gammagt': Value('float64'), 'drinks': 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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 ({'menopause', 'breast', 'Class', 'breast-quad', 'age', 'tumor-size', 'node-caps', 'irradiat', 'deg-malig', 'inv-nodes'}) and 6 missing columns ({'mcv', 'sgot', 'gammagt', 'drinks', 'alkphos', 'sgpt'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://clean_labeled_dataset/0010_breast-cancer.csv::/tmp/hf-datasets-cache/medium/datasets/19054925984507-config-parquet-and-info-eddyliu-hf-clean_labeled_-35c6d72f/hub/datasets--eddyliu-hf--clean_labeled_dataset/snapshots/3e9e49c9e86f6faf4528a0f15ef44bed6eeced42/clean_labeled_dataset.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.

mcv float64	alkphos float64	sgpt float64	sgot float64	gammagt float64	drinks float64
0.684211	0.295652	0.178808	0.233766	0.126712	0.025
0.684211	0.495652	0.112583	0.181818	0.030822	0.05
0.684211	0.269565	0.139073	0.220779	0.10274	0.2
0.631579	0.347826	0.13245	0.311688	0.082192	0.3
0.578947	0.6	0.112583	0.220779	0.109589	0.05
0.710526	0.434783	0.13245	0.207792	0.14726	0.2
0.447368	0.391304	0.10596	0.220779	0.013699	0.2
0.657895	0.347826	0.13245	0.246753	0.065068	0.025
0.578947	0.547826	0.15894	0.233766	0.054795	0.2
0.605263	0.443478	0.178808	0.25974	0.034247	0.025
0.684211	0.478261	0.10596	0.337662	0.044521	0.025
0.605263	0.33913	0.10596	0.155844	0.013699	0.025
0.684211	0.382609	0.18543	0.272727	0.027397	0.05
0.578947	0.4	0.119205	0.272727	0.020548	0.025
0.605263	0.373913	0.125828	0.090909	0.034247	0.15
0.552632	0.486957	0.15894	0.142857	0.041096	0.025
0.657895	0.321739	0.125828	0.285714	0	0.025
0.578947	0.278261	0.211921	0.181818	0.068493	0.4
0.894737	0.165217	0.066225	0.207792	0.150685	0.25
0.5	0.513043	0.112583	0.207792	0.047945	0.025
0.684211	0.417391	0.05298	0.220779	0.020548	0.15
0.631579	0.252174	0.059603	0.246753	0.034247	0.025
0.868421	0.443478	0.953642	0.909091	0.527397	0.025
0.552632	0.269565	0.145695	0.324675	0.027397	0.025
0.631579	0.243478	0.245033	0.220779	0.14726	0.1
0.684211	0.4	0.139073	0.25974	0.208904	0.4
0.894737	0.452174	0.145695	0.246753	0.123288	0.6
0.763158	0.417391	0.139073	0.272727	0.089041	0.25
0.815789	0.408696	0.112583	0.272727	0.054795	0.2
0	0.347826	0.099338	0.194805	0.030822	0.025
0.710526	0.608696	0.119205	0.298701	0.40411	0.45
0.894737	0.4	0.271523	0.350649	0.085616	0.15
0.657895	0.347826	0.07947	0.207792	0.030822	0.05
0.657895	0.486957	0.092715	0.12987	0.065068	0.025
0.421053	0.330435	0.18543	0.415584	0.164384	0.15
0.631579	0.426087	0.192053	0.285714	0.171233	0.2
0.631579	0.573913	0.125828	0.168831	0.339041	0.15
0.710526	0.469565	0.543046	0.467532	0.089041	0.5
1	0.452174	0.099338	0.324675	0.027397	0.05
0.815789	0.391304	0.092715	0.181818	0.047945	0.025
0.368421	0.13913	0.066225	0.181818	0.013699	0.025
0.789474	0.234783	0.059603	0.116883	0.034247	0.3
0.657895	0.965217	0.066225	0.194805	0.030822	0.2
0.526316	0.243478	0.145695	0.246753	0.061644	0.05
0.605263	0.208696	0.205298	0.272727	0.09589	0.15
0.868421	0.173913	0.205298	0.233766	0.219178	0.3
0.657895	0.382609	0.039735	0.142857	0.037671	0.2
0.815789	0.408696	0.437086	0.272727	0.106164	0.3
0.473684	0.391304	0.086093	0.194805	0.226027	0.025
0.605263	0.208696	0.192053	0.272727	0.082192	0.1
0.578947	0.191304	0.099338	0.103896	0.037671	0.2
0.710526	0.46087	0.178808	0.298701	0.123288	0.3
0.684211	0.391304	0.066225	0.194805	0.047945	0.2
0.342105	0.4	0.13245	0.168831	0.089041	0.025
0.868421	0.304348	0.192053	0.207792	0.078767	0.1
0.684211	0.2	0.172185	0.246753	0.116438	0.35
0.684211	0.252174	0.476821	0.350649	0.065068	0.4
0.736842	0.530435	0.357616	0.545455	0.195205	0.35
0.763158	0.452174	0.10596	0.25974	0.113014	0.025
0.657895	0.443478	0.099338	0.116883	0.058219	0.2
0.526316	0.53913	0.139073	0.272727	0.085616	0.025
0.736842	0.313043	0.245033	0.324675	0.14726	0.05
0.684211	0.356522	0.112583	0.155844	0.071918	0.15
0.736842	0.313043	0.086093	0.194805	0.030822	0.4
0.578947	0.165217	0.145695	0.233766	0.041096	0.2
0.657895	0.347826	0.271523	0.246753	0.273973	0.05
0.526316	0.304348	0.523179	0.571429	0.157534	0.15
0.526316	0.321739	0.086093	0.207792	0.030822	0.2
0.815789	0.443478	0.152318	0.25974	0.130137	0.3
0.921053	0.521739	0.139073	0.246753	0.078767	0.4
0.710526	0.26087	0.311258	0.363636	0.297945	0.3
0.736842	0.173913	0.046358	0.142857	0.167808	0.3
0.605263	0.278261	0.099338	0.155844	0.030822	0.3
0.605263	0.617391	0.145695	0.168831	0.010274	0.025
0.710526	0.365217	0.139073	0.194805	0.089041	0.025
0.921053	0.321739	0.165563	0.233766	0.243151	0.3
0.447368	0.443478	0.225166	0.298701	0.14726	0.025
0.552632	0.269565	0.192053	0.142857	0.167808	0
0.552632	0.382609	0.046358	0.12987	0.010274	0.2
0.789474	0.495652	0.304636	0.766234	0.171233	0.5
0.552632	0.478261	0.317881	0.311688	0.195205	0.025
0.815789	0.278261	0.291391	0.441558	0.126712	0.2
0.605263	0.53913	0.066225	0.12987	0.017123	0.1
0.789474	0.313043	0.125828	0.168831	0.047945	0.2
0.684211	0.278261	0.15894	0.298701	0.263699	0.2
0.552632	0.269565	0.10596	0.207792	0.037671	0.1
0.868421	0.234783	0.152318	0.25974	0.164384	0.2
0.578947	0.156522	0.178808	0.181818	0.037671	0.025
0.763158	0.304348	0.112583	0.168831	0.071918	0.1
0.736842	0.191304	0.046358	0.116883	0.054795	0.2
0.684211	0.747826	0.192053	0.12987	0.044521	0.2
0.447368	0.217391	0.152318	0.12987	0.023973	0.025
0.552632	0.486957	0.218543	0.298701	0.030822	0.025
0.842105	0.182609	0.721854	0.519481	0.496575	0.25
0.868421	0.295652	0.178808	0.376623	0.232877	0.5
0.684211	0.321739	0.18543	0.116883	0.010274	0.05
0.526316	0.365217	0.139073	0.116883	0.044521	0.025
0.710526	0.495652	0.039735	0.272727	0.05137	0.3
0.631579	0.469565	0.145695	0.194805	0.047945	0.05
0.868421	0.869565	0.15894	0.246753	0.089041	0.4

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