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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 2 new columns ({'Power Factor.1', 'Power Factor'}) and 2 missing columns ({'Usage.1', 'Usage'}).

This happened while the csv dataset builder was generating data using

hf://datasets/farrellhrs/PowerConsumptionTelU/Power Factor History_Sep2024_RUT03_Trafo Radio.csv (at revision ce1c9957ff1b4c7a506868935ac4d4f36a9fce18)

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
              Power Factor: string
              Power Factor.1: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 515
              to
              {'Usage': Value('string'), 'Usage.1': Value('string')}
              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 2 new columns ({'Power Factor.1', 'Power Factor'}) and 2 missing columns ({'Usage.1', 'Usage'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/farrellhrs/PowerConsumptionTelU/Power Factor History_Sep2024_RUT03_Trafo Radio.csv (at revision ce1c9957ff1b4c7a506868935ac4d4f36a9fce18)
              
              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.

Usage
string
Usage.1
string
2024-03-15 12:00:00
65.5 kWh
2024-03-15 13:00:00
63.4 kWh
2024-03-15 14:00:00
58.5 kWh
2024-03-15 15:00:00
58 kWh
2024-03-15 16:00:00
55 kWh
2024-03-15 17:00:00
45.9 kWh
2024-03-15 18:00:00
30.7 kWh
2024-03-15 19:00:00
28.3 kWh
2024-03-15 20:00:00
23.5 kWh
2024-03-15 21:00:00
23.5 kWh
2024-03-15 22:00:00
20.5 kWh
2024-03-15 23:00:00
18.8 kWh
2024-03-16 00:00:00
18.7 kWh
2024-03-16 01:00:00
18.5 kWh
2024-03-16 02:00:00
17.8 kWh
2024-03-16 03:00:00
18.0 kWh
2024-03-16 04:00:00
17.4 kWh
2024-03-16 05:00:00
18.1 kWh
2024-03-16 06:00:00
18.5 kWh
2024-03-16 07:00:00
30.2 kWh
2024-03-16 08:00:00
38.3 kWh
2024-03-16 09:00:00
46.8 kWh
2024-03-16 10:00:00
37.0 kWh
2024-03-16 11:00:00
41.3 kWh
2024-03-16 12:00:00
45.3 kWh
2024-03-16 13:00:00
45.0 kWh
2024-03-16 14:00:00
49.6 kWh
2024-03-16 15:00:00
45.3 kWh
2024-03-16 16:00:00
41.4 kWh
2024-03-16 17:00:00
27.5 kWh
2024-03-16 18:00:00
22.8 kWh
2024-03-16 19:00:00
24.0 kWh
2024-03-16 20:00:00
23.1 kWh
2024-03-16 21:00:00
26.4 kWh
2024-03-16 22:00:00
23.6 kWh
2024-03-16 23:00:00
24.1 kWh
2024-03-17 00:00:00
22.9 kWh
2024-03-17 01:00:00
25.2 kWh
2024-03-17 02:00:00
20.9 kWh
2024-03-17 03:00:00
20.5 kWh
2024-03-17 04:00:00
20.3 kWh
2024-03-17 05:00:00
22 kWh
2024-03-17 06:00:00
19.8 kWh
2024-03-17 07:00:00
18.0 kWh
2024-03-17 08:00:00
18.7 kWh
2024-03-17 09:00:00
19.4 kWh
2024-03-17 10:00:00
19.2 kWh
2024-03-17 11:00:00
20.0 kWh
2024-03-17 12:00:00
19.6 kWh
2024-03-17 13:00:00
19.8 kWh
2024-03-17 14:00:00
23.6 kWh
2024-03-17 15:00:00
20.3 kWh
2024-03-17 16:00:00
18.1 kWh
2024-03-17 17:00:00
17.5 kWh
2024-03-17 18:00:00
20.0 kWh
2024-03-17 19:00:00
18.8 kWh
2024-03-17 20:00:00
19.1 kWh
2024-03-17 21:00:00
18.9 kWh
2024-03-17 22:00:00
19.8 kWh
2024-03-17 23:00:00
18.9 kWh
2024-03-18 00:00:00
18.9 kWh
2024-03-18 01:00:00
18.7 kWh
2024-03-18 02:00:00
18.5 kWh
2024-03-18 03:00:00
20.2 kWh
2024-03-18 04:00:00
17.9 kWh
2024-03-18 05:00:00
18.2 kWh
2024-03-18 06:00:00
21.5 kWh
2024-03-18 07:00:00
49.1 kWh
2024-03-18 08:00:00
58.1 kWh
2024-03-18 09:00:00
91.3 kWh
2024-03-18 10:00:00
102 kWh
2024-03-18 11:00:00
115 kWh
2024-03-18 12:00:00
106 kWh
2024-03-18 13:00:00
110 kWh
2024-03-18 14:00:00
121 kWh
2024-03-18 15:00:00
127 kWh
2024-03-18 16:00:00
114 kWh
2024-03-18 17:00:00
79.4 kWh
2024-03-18 18:00:00
52.8 kWh
2024-03-18 19:00:00
33.9 kWh
2024-03-18 20:00:00
26.1 kWh
2024-03-18 21:00:00
24.5 kWh
2024-03-18 22:00:00
22.1 kWh
2024-03-18 23:00:00
23.9 kWh
2024-03-19 00:00:00
21.8 kWh
2024-03-19 01:00:00
20.9 kWh
2024-03-19 02:00:00
20.8 kWh
2024-03-19 03:00:00
21.7 kWh
2024-03-19 04:00:00
18.2 kWh
2024-03-19 05:00:00
16.9 kWh
2024-03-19 06:00:00
21.5 kWh
2024-03-19 07:00:00
54.9 kWh
2024-03-19 08:00:00
71.2 kWh
2024-03-19 09:00:00
87.1 kWh
2024-03-19 10:00:00
108 kWh
2024-03-19 11:00:00
113 kWh
2024-03-19 12:00:00
117 kWh
2024-03-19 13:00:00
114 kWh
2024-03-19 14:00:00
122 kWh
2024-03-19 15:00:00
128 kWh
End of preview.