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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 5 new columns ({'20220228', '18.1', '17', '71.76', '18'}) and 5 missing columns ({'electrical-meter-id', 'customer-id', 'hour', 'date', 'amount-of-consumption'}).
This happened while the csv dataset builder was generating data using
hf://datasets/andrewlee1807/Gyeonggi/xab.csv (at revision 264665bf10ad1c4efb94585c47119f20c040304e)
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
18: int64
20220228: int64
17: int64
18.1: int64
71.76: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 794
to
{'electrical-meter-id': Value(dtype='int64', id=None), 'date': Value(dtype='int64', id=None), 'hour': Value(dtype='int64', id=None), 'customer-id': Value(dtype='int64', id=None), 'amount-of-consumption': Value(dtype='float64', 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 5 new columns ({'20220228', '18.1', '17', '71.76', '18'}) and 5 missing columns ({'electrical-meter-id', 'customer-id', 'hour', 'date', 'amount-of-consumption'}).
This happened while the csv dataset builder was generating data using
hf://datasets/andrewlee1807/Gyeonggi/xab.csv (at revision 264665bf10ad1c4efb94585c47119f20c040304e)
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.
electrical-meter-id
int64 | date
int64 | hour
int64 | customer-id
int64 | amount-of-consumption
float64 |
|---|---|---|---|---|
1
| 20,200,801
| 4
| 1
| 38.74
|
1
| 20,200,801
| 18
| 1
| 69.74
|
1
| 20,200,801
| 22
| 1
| 69.51
|
1
| 20,200,801
| 23
| 1
| 70.92
|
1
| 20,200,802
| 5
| 1
| 61.08
|
1
| 20,200,802
| 6
| 1
| 62.67
|
1
| 20,200,803
| 13
| 1
| 222.38
|
1
| 20,200,804
| 2
| 1
| 74.83
|
1
| 20,200,804
| 14
| 1
| 220.58
|
1
| 20,200,804
| 20
| 1
| 117.12
|
1
| 20,200,806
| 1
| 1
| 69.03
|
1
| 20,200,806
| 4
| 1
| 62.13
|
1
| 20,200,806
| 6
| 1
| 45.19
|
1
| 20,200,806
| 12
| 1
| 216.91
|
1
| 20,200,806
| 20
| 1
| 90.36
|
1
| 20,200,808
| 5
| 1
| 32.37
|
1
| 20,200,808
| 14
| 1
| 75.33
|
1
| 20,200,809
| 11
| 1
| 74.21
|
1
| 20,200,809
| 17
| 1
| 21.72
|
1
| 20,200,809
| 23
| 1
| 55.03
|
1
| 20,200,810
| 7
| 1
| 43.63
|
1
| 20,200,810
| 17
| 1
| 152.01
|
1
| 20,200,810
| 22
| 1
| 83.43
|
1
| 20,200,810
| 24
| 1
| 64.72
|
1
| 20,200,811
| 1
| 1
| 56.42
|
1
| 20,200,811
| 2
| 1
| 54.48
|
1
| 20,200,811
| 12
| 1
| 103.25
|
1
| 20,200,812
| 7
| 1
| 55.74
|
1
| 20,200,812
| 9
| 1
| 104.66
|
1
| 20,200,812
| 19
| 1
| 63.21
|
1
| 20,200,813
| 1
| 1
| 51.22
|
1
| 20,200,813
| 15
| 1
| 104.66
|
1
| 20,200,813
| 16
| 1
| 206.83
|
1
| 20,200,813
| 19
| 1
| 125.8
|
1
| 20,200,813
| 20
| 1
| 137.08
|
1
| 20,200,814
| 10
| 1
| 166.82
|
1
| 20,200,814
| 17
| 1
| 52.3
|
1
| 20,200,814
| 24
| 1
| 40.06
|
1
| 20,200,815
| 23
| 1
| 54.19
|
1
| 20,200,816
| 4
| 1
| 23.59
|
1
| 20,200,816
| 19
| 1
| 63.21
|
1
| 20,200,817
| 9
| 1
| 72.05
|
1
| 20,200,818
| 6
| 1
| 47.16
|
1
| 20,200,818
| 7
| 1
| 70.51
|
1
| 20,200,818
| 12
| 1
| 240.04
|
1
| 20,200,818
| 20
| 1
| 133.1
|
1
| 20,200,818
| 22
| 1
| 81.98
|
1
| 20,200,818
| 23
| 1
| 58.39
|
1
| 20,200,819
| 12
| 1
| 229.13
|
1
| 20,200,819
| 17
| 1
| 215.4
|
1
| 20,200,820
| 4
| 1
| 48.93
|
1
| 20,200,820
| 20
| 1
| 119
|
1
| 20,200,820
| 22
| 1
| 75.22
|
1
| 20,200,821
| 4
| 1
| 25.94
|
1
| 20,200,821
| 22
| 1
| 71.61
|
1
| 20,200,821
| 24
| 1
| 50.66
|
1
| 20,200,822
| 14
| 1
| 75.1
|
1
| 20,200,823
| 2
| 1
| 46.3
|
1
| 20,200,823
| 14
| 1
| 89.19
|
1
| 20,200,824
| 4
| 1
| 44.34
|
1
| 20,200,824
| 5
| 1
| 34.78
|
1
| 20,200,824
| 6
| 1
| 47.33
|
1
| 20,200,824
| 17
| 1
| 225.66
|
1
| 20,200,824
| 24
| 1
| 51.36
|
1
| 20,200,825
| 2
| 1
| 49.1
|
1
| 20,200,825
| 3
| 1
| 49.32
|
1
| 20,200,825
| 4
| 1
| 49.16
|
1
| 20,200,825
| 7
| 1
| 59.73
|
1
| 20,200,826
| 2
| 1
| 52.3
|
1
| 20,200,826
| 9
| 1
| 188
|
1
| 20,200,826
| 20
| 1
| 99.29
|
1
| 20,200,827
| 1
| 1
| 74.92
|
1
| 20,200,827
| 5
| 1
| 61.6
|
1
| 20,200,828
| 12
| 1
| 238.64
|
1
| 20,200,828
| 14
| 1
| 231.94
|
1
| 20,200,829
| 3
| 1
| 49.91
|
1
| 20,200,829
| 17
| 1
| 81.5
|
1
| 20,200,829
| 23
| 1
| 50.95
|
1
| 20,200,830
| 2
| 1
| 48.1
|
1
| 20,200,830
| 9
| 1
| 72.81
|
1
| 20,200,830
| 19
| 1
| 78.76
|
1
| 20,200,831
| 6
| 1
| 46.83
|
1
| 20,200,831
| 7
| 1
| 62.74
|
1
| 20,200,831
| 13
| 1
| 224.64
|
1
| 20,200,831
| 18
| 1
| 209.4
|
1
| 20,200,831
| 23
| 1
| 60.04
|
1
| 20,200,901
| 1
| 1
| 49.17
|
1
| 20,200,901
| 2
| 1
| 50.07
|
1
| 20,200,901
| 3
| 1
| 48
|
1
| 20,200,901
| 4
| 1
| 47.31
|
1
| 20,200,901
| 5
| 1
| 48.26
|
1
| 20,200,901
| 6
| 1
| 48.08
|
1
| 20,200,901
| 7
| 1
| 61.44
|
1
| 20,200,901
| 8
| 1
| 98.28
|
1
| 20,200,901
| 9
| 1
| 200.21
|
1
| 20,200,901
| 10
| 1
| 214.38
|
1
| 20,200,901
| 11
| 1
| 215.67
|
1
| 20,200,901
| 12
| 1
| 223.29
|
1
| 20,200,901
| 13
| 1
| 217.1
|
1
| 20,200,901
| 14
| 1
| 217.97
|
End of preview.