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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 ({'36month'}) and 1 missing columns ({'12month'}).

This happened while the csv dataset builder was generating data using

hf://datasets/umarghaffar1/auaint_two/36month.csv (at revision e60d94f6265518619400fcc233347fe2823e40c5)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              facilitytype: int64
              facilitylocation: int64
              age: int64
              insurance: int64
              defsurgstartdays: int64
              surgtype: int64
              approach: int64
              dischargedays: int64
              readmission: int64
              clin_n: int64
              clin_m: int64
              clin_t: int64
              race_cat: int64
              path_t: int64
              path_n: int64
              grade_biopsy: int64
              gleason_biopsy: int64
              surgmarg: int64
              lnd: int64
              rad_cat_adj: int64
              chemo: int64
              adt: int64
              psacontinuous_final: double
              36month: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3027
              to
              {'facilitytype': Value(dtype='int64', id=None), 'facilitylocation': Value(dtype='int64', id=None), 'age': Value(dtype='int64', id=None), 'insurance': Value(dtype='int64', id=None), 'defsurgstartdays': Value(dtype='int64', id=None), 'surgtype': Value(dtype='int64', id=None), 'approach': Value(dtype='int64', id=None), 'dischargedays': Value(dtype='int64', id=None), 'readmission': Value(dtype='int64', id=None), 'clin_n': Value(dtype='int64', id=None), 'clin_m': Value(dtype='int64', id=None), 'clin_t': Value(dtype='int64', id=None), 'race_cat': Value(dtype='int64', id=None), 'path_t': Value(dtype='int64', id=None), 'path_n': Value(dtype='int64', id=None), 'grade_biopsy': Value(dtype='int64', id=None), 'gleason_biopsy': Value(dtype='int64', id=None), 'surgmarg': Value(dtype='int64', id=None), 'lnd': Value(dtype='int64', id=None), 'rad_cat_adj': Value(dtype='int64', id=None), 'chemo': Value(dtype='int64', id=None), 'adt': Value(dtype='int64', id=None), 'psacontinuous_final': Value(dtype='float64', id=None), '12month': Value(dtype='int64', id=None)}
              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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 1 new columns ({'36month'}) and 1 missing columns ({'12month'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/umarghaffar1/auaint_two/36month.csv (at revision e60d94f6265518619400fcc233347fe2823e40c5)
              
              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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facilitytype
int64
facilitylocation
int64
age
int64
insurance
int64
defsurgstartdays
int64
surgtype
int64
approach
int64
dischargedays
int64
readmission
int64
clin_n
int64
clin_m
int64
clin_t
int64
race_cat
int64
path_t
int64
path_n
int64
grade_biopsy
int64
gleason_biopsy
int64
surgmarg
int64
lnd
int64
rad_cat_adj
int64
chemo
int64
adt
int64
psacontinuous_final
float64
12month
int64
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0
2
0
0
4
0
0
0
0
0
6.6
0
1
8
67
1
93
1
4
3
0
0
0
1
0
3
0
4
7
0
1
0
0
0
0.62
0
1
8
58
1
128
1
0
1
1
0
0
1
0
3
0
1
5
1
1
1
0
1
0.65
0
1
8
71
3
84
1
0
1
0
0
0
1
0
2
0
3
6
0
1
1
0
1
0.55
0
1
8
66
1
63
1
0
1
0
0
0
1
0
2
0
3
6
0
0
0
0
0
7
0
1
8
58
1
238
1
4
5
0
0
0
4
0
3
0
4
7
1
1
0
0
0
6.1
0
1
8
55
1
42
1
0
3
0
0
0
1
0
2
0
0
4
0
0
0
0
0
3.5
0
1
8
52
1
159
1
0
1
0
0
0
1
0
2
0
0
4
0
0
0
0
0
6.1
0
3
8
70
3
101
1
0
1
3
0
0
1
0
4
0
2
5
1
1
0
0
0
5.1
0
3
8
58
1
86
1
0
2
1
0
0
1
0
2
0
1
5
0
1
0
0
0
7.1
0
3
8
60
3
228
1
0
1
0
0
0
1
0
2
0
1
5
0
1
0
0
1
8.1
0
3
8
64
4
75
1
4
3
0
0
0
1
0
2
0
0
4
0
1
0
0
0
4.7
0
3
8
69
1
0
1
0
2
0
0
0
1
0
2
0
0
4
1
0
0
0
0
7.7
0
3
8
69
2
295
1
0
1
0
0
0
1
0
2
0
2
5
0
1
0
0
1
10.7
0
3
8
70
2
213
1
0
1
0
0
0
1
0
2
0
0
4
0
1
0
0
0
20
0
2
3
62
1
48
1
4
2
0
0
0
3
0
2
0
1
5
1
1
0
0
0
8.5
0
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