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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 ({'__index_level_0__'}) This happened while the csv dataset builder was generating data using hf://datasets/lucacorbucci/silo-attribute/silo-attribute/AL_0.csv (at revision ab28d6ed56ca84c7e0598e3bf235fd50a5b09fd9) 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 1871, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast AGEP: double COW: double SCHL: double MAR: double OCCP: double POBP: double RELP: double WKHP: double SEX: double RAC1P: double PINCP: bool __index_level_0__: int64 -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1585 to {'AGEP': Value(dtype='float64', id=None), 'COW': Value(dtype='float64', id=None), 'SCHL': Value(dtype='float64', id=None), 'MAR': Value(dtype='float64', id=None), 'OCCP': Value(dtype='float64', id=None), 'POBP': Value(dtype='float64', id=None), 'RELP': Value(dtype='float64', id=None), 'WKHP': Value(dtype='float64', id=None), 'SEX': Value(dtype='float64', id=None), 'RAC1P': Value(dtype='float64', id=None), 'PINCP': Value(dtype='bool', 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 1433, 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 1050, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 ({'__index_level_0__'}) This happened while the csv dataset builder was generating data using hf://datasets/lucacorbucci/silo-attribute/silo-attribute/AL_0.csv (at revision ab28d6ed56ca84c7e0598e3bf235fd50a5b09fd9) 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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AGEP
float64 | COW
float64 | SCHL
float64 | MAR
float64 | OCCP
float64 | POBP
float64 | RELP
float64 | WKHP
float64 | SEX
float64 | RAC1P
float64 | PINCP
bool |
---|---|---|---|---|---|---|---|---|---|---|
65 | 1 | 19 | 1 | 3,602 | 6 | 1 | 56 | 2 | 1 | false |
34 | 1 | 20 | 2 | 5,160 | 2 | 13 | 40 | 2 | 2 | false |
49 | 3 | 22 | 1 | 2,310 | 120 | 1 | 40 | 2 | 1 | false |
39 | 6 | 19 | 2 | 9,620 | 6 | 15 | 50 | 1 | 2 | false |
57 | 1 | 16 | 1 | 4,700 | 41 | 0 | 40 | 2 | 1 | false |
52 | 3 | 21 | 2 | 3,740 | 53 | 0 | 40 | 1 | 1 | false |
20 | 3 | 18 | 2 | 3,401 | 2 | 17 | 45 | 1 | 2 | true |
37 | 1 | 18 | 2 | 4,510 | 2 | 2 | 20 | 2 | 2 | false |
58 | 1 | 16 | 1 | 440 | 2 | 1 | 40 | 1 | 2 | true |
59 | 6 | 16 | 2 | 6,115 | 2 | 15 | 80 | 1 | 2 | false |
53 | 2 | 18 | 1 | 3,655 | 2 | 1 | 30 | 2 | 2 | false |
17 | 1 | 12 | 2 | 6,115 | 2 | 2 | 99 | 1 | 2 | false |
66 | 6 | 19 | 1 | 6,230 | 19 | 1 | 40 | 1 | 1 | true |
53 | 4 | 18 | 1 | 5,500 | 6 | 0 | 34 | 1 | 1 | false |
57 | 5 | 11 | 1 | 5,940 | 53 | 0 | 40 | 1 | 1 | true |
37 | 3 | 21 | 2 | 2,014 | 5 | 0 | 38 | 1 | 2 | true |
44 | 1 | 19 | 2 | 4,040 | 6 | 0 | 36 | 2 | 1 | false |
33 | 5 | 19 | 2 | 7,140 | 22 | 0 | 40 | 1 | 1 | false |
28 | 3 | 16 | 2 | 5,860 | 2 | 13 | 40 | 2 | 2 | false |
28 | 1 | 16 | 2 | 9,141 | 2 | 0 | 70 | 1 | 1 | true |
64 | 8 | 20 | 1 | 8,640 | 26 | 0 | 40 | 1 | 1 | true |
46 | 4 | 19 | 2 | 5,860 | 2 | 0 | 36 | 2 | 1 | false |
28 | 3 | 16 | 2 | 440 | 2 | 3 | 20 | 2 | 2 | false |
57 | 6 | 19 | 2 | 6,200 | 2 | 2 | 50 | 1 | 1 | true |
48 | 6 | 23 | 1 | 2,100 | 42 | 0 | 40 | 1 | 1 | true |
80 | 6 | 16 | 1 | 6,115 | 36 | 0 | 42 | 1 | 1 | false |
50 | 1 | 17 | 1 | 4,840 | 26 | 1 | 40 | 1 | 1 | true |
34 | 1 | 23 | 1 | 3,010 | 41 | 0 | 24 | 2 | 1 | true |
60 | 3 | 20 | 1 | 530 | 53 | 0 | 30 | 2 | 2 | false |
44 | 2 | 20 | 1 | 440 | 48 | 1 | 40 | 2 | 1 | true |
27 | 1 | 11 | 2 | 9,645 | 2 | 3 | 84 | 1 | 2 | false |
39 | 5 | 21 | 1 | 6,442 | 17 | 1 | 40 | 1 | 1 | true |
65 | 6 | 21 | 2 | 2,600 | 23 | 0 | 72 | 2 | 1 | false |
24 | 5 | 18 | 1 | 136 | 48 | 1 | 40 | 1 | 1 | false |
35 | 1 | 21 | 1 | 2,014 | 16 | 1 | 40 | 2 | 1 | false |
58 | 3 | 22 | 2 | 2,310 | 301 | 0 | 40 | 2 | 1 | true |
63 | 1 | 16 | 1 | 9,620 | 6 | 0 | 40 | 2 | 1 | false |
71 | 1 | 21 | 2 | 3,050 | 26 | 5 | 40 | 1 | 1 | false |
52 | 6 | 21 | 2 | 2,360 | 19 | 0 | 50 | 1 | 1 | false |
33 | 3 | 16 | 1 | 7,700 | 20 | 1 | 40 | 2 | 1 | true |
59 | 7 | 16 | 1 | 6,410 | 2 | 0 | 40 | 1 | 1 | true |
26 | 3 | 16 | 2 | 9,130 | 2 | 2 | 40 | 2 | 2 | false |
68 | 1 | 19 | 1 | 4,230 | 233 | 17 | 70 | 1 | 2 | false |
19 | 1 | 16 | 2 | 4,030 | 53 | 12 | 40 | 2 | 1 | false |
42 | 3 | 23 | 1 | 1,530 | 2 | 1 | 40 | 1 | 1 | true |
39 | 1 | 20 | 1 | 2,830 | 2 | 0 | 40 | 1 | 1 | true |
25 | 5 | 21 | 2 | 9,310 | 12 | 12 | 40 | 1 | 1 | false |
62 | 3 | 22 | 1 | 1,420 | 26 | 0 | 40 | 1 | 1 | true |
31 | 1 | 12 | 1 | 7,855 | 233 | 5 | 60 | 1 | 2 | false |
44 | 4 | 16 | 1 | 7,340 | 242 | 1 | 40 | 1 | 2 | false |
23 | 3 | 19 | 2 | 2,310 | 2 | 0 | 40 | 1 | 2 | true |
52 | 3 | 16 | 1 | 4,760 | 2 | 0 | 45 | 2 | 1 | false |
41 | 1 | 17 | 2 | 9,130 | 2 | 0 | 50 | 2 | 2 | true |
55 | 1 | 20 | 1 | 705 | 12 | 1 | 40 | 1 | 1 | true |
46 | 3 | 16 | 2 | 7,410 | 2 | 13 | 99 | 1 | 2 | false |
40 | 1 | 16 | 1 | 9,640 | 233 | 2 | 40 | 2 | 2 | false |
37 | 1 | 16 | 1 | 8,030 | 233 | 0 | 80 | 1 | 2 | true |
58 | 4 | 18 | 1 | 440 | 22 | 0 | 40 | 1 | 1 | true |
76 | 3 | 11 | 1 | 6,210 | 2 | 0 | 40 | 1 | 2 | false |
35 | 5 | 19 | 2 | 5,000 | 24 | 0 | 40 | 2 | 1 | true |
65 | 7 | 19 | 1 | 205 | 41 | 0 | 99 | 1 | 1 | true |
29 | 1 | 20 | 2 | 1,970 | 2 | 2 | 20 | 2 | 2 | false |
32 | 5 | 22 | 1 | 9,830 | 39 | 0 | 60 | 1 | 1 | true |
20 | 1 | 16 | 2 | 5,160 | 49 | 0 | 40 | 2 | 1 | false |
34 | 1 | 13 | 2 | 4,230 | 2 | 13 | 35 | 2 | 2 | false |
44 | 1 | 18 | 1 | 4,760 | 2 | 0 | 35 | 2 | 2 | false |
49 | 6 | 16 | 2 | 310 | 2 | 0 | 40 | 2 | 2 | false |
51 | 3 | 20 | 1 | 8,600 | 2 | 1 | 60 | 1 | 2 | false |
35 | 1 | 19 | 2 | 5,240 | 6 | 0 | 40 | 2 | 1 | false |
62 | 1 | 16 | 1 | 3,930 | 26 | 0 | 15 | 2 | 1 | false |
20 | 3 | 16 | 2 | 9,130 | 2 | 2 | 40 | 1 | 2 | false |
39 | 1 | 16 | 1 | 5,600 | 18 | 1 | 40 | 2 | 1 | true |
44 | 1 | 21 | 2 | 6,950 | 49 | 17 | 84 | 1 | 1 | true |
24 | 5 | 18 | 1 | 9,810 | 12 | 0 | 60 | 1 | 1 | false |
46 | 1 | 19 | 1 | 6,950 | 30 | 17 | 93 | 1 | 1 | true |
39 | 1 | 16 | 2 | 4,760 | 46 | 0 | 40 | 2 | 2 | false |
42 | 2 | 19 | 1 | 2,040 | 6 | 0 | 60 | 1 | 1 | false |
23 | 3 | 16 | 2 | 6,305 | 2 | 2 | 50 | 1 | 2 | true |
35 | 1 | 22 | 2 | 3,255 | 2 | 0 | 50 | 2 | 1 | true |
56 | 3 | 16 | 2 | 5,940 | 2 | 0 | 30 | 2 | 2 | false |
42 | 1 | 16 | 1 | 7,130 | 15 | 0 | 50 | 2 | 2 | true |
40 | 6 | 20 | 1 | 440 | 41 | 1 | 40 | 1 | 1 | true |
40 | 1 | 17 | 2 | 5,300 | 2 | 2 | 40 | 2 | 2 | true |
27 | 1 | 16 | 1 | 5,400 | 2 | 1 | 40 | 2 | 2 | false |
44 | 1 | 19 | 1 | 440 | 39 | 1 | 50 | 2 | 1 | true |
28 | 1 | 16 | 1 | 7,330 | 233 | 0 | 60 | 1 | 2 | true |
64 | 3 | 22 | 1 | 2,310 | 27 | 0 | 40 | 2 | 1 | true |
57 | 3 | 21 | 2 | 3,160 | 31 | 0 | 40 | 2 | 1 | true |
19 | 1 | 18 | 2 | 6,260 | 2 | 17 | 40 | 1 | 1 | false |
49 | 1 | 20 | 2 | 9,430 | 2 | 13 | 30 | 1 | 2 | false |
48 | 1 | 15 | 1 | 9,620 | 8 | 1 | 30 | 1 | 1 | true |
50 | 1 | 16 | 2 | 4,110 | 223 | 0 | 20 | 2 | 2 | false |
58 | 1 | 18 | 1 | 440 | 19 | 1 | 40 | 2 | 1 | true |
21 | 1 | 19 | 2 | 9,005 | 2 | 13 | 50 | 1 | 1 | false |
45 | 1 | 20 | 1 | 5,260 | 2 | 1 | 30 | 2 | 1 | false |
37 | 1 | 16 | 1 | 6,442 | 53 | 0 | 40 | 1 | 1 | true |
25 | 1 | 19 | 2 | 9,121 | 27 | 15 | 30 | 1 | 1 | false |
57 | 1 | 21 | 1 | 6,200 | 301 | 1 | 70 | 1 | 1 | true |
23 | 5 | 19 | 2 | 3,870 | 45 | 0 | 40 | 2 | 1 | false |
58 | 1 | 17 | 1 | 5,240 | 2 | 0 | 24 | 2 | 1 | false |
End of preview.
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