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Aharneish
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toclaude

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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 43 new columns ({'usa_industry', 'subs_work', 'relationship_head', 'usa_status', 'usa_enterprise_strength', 'usa_location', 'earn_lmonth', 'enterprise_type', 'd7a2_wage', 'paidleave', 'status', 'usa_socialsecurity', 'd7a1_wage', 'cws_occupation', 'age', 'marital_status', 'usa_occupation', 'usa_enterprise_type', 'd7a1_status', 'occupation', 'usa_paidleave', 'socialsecurity', 'contract_type', 'd7a1_hrsworked', 'enterprise_strength', 'general_educ', 'cws', 'technical_educ', 'location', 'educ', 'voc_educ', 'd7a2_status', 'sex', 'educ_current', 'usa_contract_type', 'd7_addlhrs', 'd7a1_industry', 'd7a2_hrsworked', 'd7_hrsworked', 'd7a2_industry', 'industry', 'cws_industry', 'earn_l30d'}) and 8 missing columns ({'state', 'religion', 'district', 'hhsize', 'sector', 'expenditure', 'group', 'hh_code'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Aharneish/toclaude/Labour2_coded.csv (at revision 3af44ee06e3f365ac1317398b3e1bc4a3ce439c3)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              person_code: int64
              relationship_head: int64
              sex: int64
              age: int64
              marital_status: int64
              general_educ: double
              technical_educ: int64
              educ: int64
              educ_current: double
              voc_educ: double
              status: int64
              industry: double
              occupation: double
              subs_work: int64
              location: double
              enterprise_type: double
              enterprise_strength: double
              contract_type: double
              paidleave: double
              socialsecurity: double
              usa_status: int64
              usa_industry: double
              usa_occupation: double
              usa_location: double
              usa_enterprise_type: double
              usa_enterprise_strength: double
              usa_contract_type: double
              usa_paidleave: double
              usa_socialsecurity: double
              d7a1_status: int64
              d7a1_industry: double
              d7a1_hrsworked: int64
              d7a1_wage: int64
              d7a2_status: double
              d7a2_industry: double
              d7a2_hrsworked: int64
              d7a2_wage: int64
              d7_hrsworked: int64
              d7_addlhrs: int64
              cws: int64
              cws_industry: double
              cws_occupation: double
              earn_lmonth: int64
              earn_l30d: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5651
              to
              {'state': Value('int64'), 'district': Value('int64'), 'sector': Value('int64'), 'hh_code': Value('int64'), 'hhsize': Value('int64'), 'religion': Value('int64'), 'group': Value('int64'), 'expenditure': Value('int64'), 'person_code': 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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 43 new columns ({'usa_industry', 'subs_work', 'relationship_head', 'usa_status', 'usa_enterprise_strength', 'usa_location', 'earn_lmonth', 'enterprise_type', 'd7a2_wage', 'paidleave', 'status', 'usa_socialsecurity', 'd7a1_wage', 'cws_occupation', 'age', 'marital_status', 'usa_occupation', 'usa_enterprise_type', 'd7a1_status', 'occupation', 'usa_paidleave', 'socialsecurity', 'contract_type', 'd7a1_hrsworked', 'enterprise_strength', 'general_educ', 'cws', 'technical_educ', 'location', 'educ', 'voc_educ', 'd7a2_status', 'sex', 'educ_current', 'usa_contract_type', 'd7_addlhrs', 'd7a1_industry', 'd7a2_hrsworked', 'd7_hrsworked', 'd7a2_industry', 'industry', 'cws_industry', 'earn_l30d'}) and 8 missing columns ({'state', 'religion', 'district', 'hhsize', 'sector', 'expenditure', 'group', 'hh_code'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Aharneish/toclaude/Labour2_coded.csv (at revision 3af44ee06e3f365ac1317398b3e1bc4a3ce439c3)
              
              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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state
int64
district
int64
sector
int64
hh_code
int64
hhsize
int64
religion
int64
group
int64
expenditure
int64
person_code
int64
1
1
1
1
6
2
9
5,500
1
1
1
1
1
6
2
9
5,500
2
1
1
1
1
6
2
9
5,500
3
1
1
1
1
6
2
9
5,500
4
1
1
1
1
6
2
9
5,500
5
1
1
1
1
6
2
9
5,500
6
1
1
1
2
3
2
9
2,500
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1
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3
2
9
2,500
8
1
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2
3
2
9
2,500
9
1
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1
3
5
2
9
3,500
10
1
1
1
3
5
2
9
3,500
11
1
1
1
3
5
2
9
3,500
12
1
1
1
3
5
2
9
3,500
13
1
1
1
3
5
2
9
3,500
14
1
1
1
4
5
2
9
3,850
15
1
1
1
4
5
2
9
3,850
16
1
1
1
4
5
2
9
3,850
17
1
1
1
4
5
2
9
3,850
18
1
1
1
4
5
2
9
3,850
19
1
1
1
5
4
2
9
5,600
20
1
1
1
5
4
2
9
5,600
21
1
1
1
5
4
2
9
5,600
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1
1
1
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4
2
9
5,600
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1
1
1
6
3
2
9
3,500
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1
1
1
6
3
2
9
3,500
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1
1
1
6
3
2
9
3,500
26
1
1
1
7
5
2
9
5,200
27
1
1
1
7
5
2
9
5,200
28
1
1
1
7
5
2
9
5,200
29
1
1
1
7
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2
9
5,200
30
1
1
1
7
5
2
9
5,200
31
1
1
1
8
3
2
9
3,000
32
1
1
1
8
3
2
9
3,000
33
1
1
1
8
3
2
9
3,000
34
1
1
1
9
5
2
9
3,500
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1
1
1
9
5
2
9
3,500
36
1
1
1
9
5
2
9
3,500
37
1
1
1
9
5
2
9
3,500
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1
1
1
9
5
2
9
3,500
39
1
1
1
10
5
2
9
4,500
40
1
1
1
10
5
2
9
4,500
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1
1
1
10
5
2
9
4,500
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1
1
1
10
5
2
9
4,500
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1
1
1
10
5
2
9
4,500
44
1
1
1
11
5
2
9
4,300
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1
1
1
11
5
2
9
4,300
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1
1
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2
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4,300
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1
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11
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4,300
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1
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1
11
5
2
9
4,300
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1
1
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2
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4,000
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1
1
1
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4
2
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4,000
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1
1
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12
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1
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4,000
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1
1
1
13
3
2
9
2,500
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1
1
1
13
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2
9
2,500
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1
1
13
3
2
9
2,500
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1
1
1
14
3
2
9
2,300
57
1
1
1
14
3
2
9
2,300
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1
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1
14
3
2
9
2,300
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1
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1
15
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4,500
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4,500
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3,500
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3,500
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3,500
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1
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3,500
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5,600
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5,600
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5,600
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2
9
6,100
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1
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18
5
2
9
6,100
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1
1
2
18
5
2
9
6,100
76
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6,100
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18
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2
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6,100
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2
9
3,500
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3,500
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3,500
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2
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4,500
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4,500
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4,500
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1
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21
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4,500
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1
1
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4,500
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1
1
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5,400
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1
1
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5,400
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1
1
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5,400
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1
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5,400
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1
1
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22
5
2
9
5,400
99
1
1
2
23
4
2
9
4,200
100
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