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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.