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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 8 new columns ({'wind_speed', 'air_temperature', 'site_id', 'wind_direction', 'sea_level_pressure', 'dew_temperature', 'precip_depth_1_hr', 'cloud_coverage'}) and 3 missing columns ({'building_id', 'meter', 'meter_reading'}).
This happened while the csv dataset builder was generating data using
hf://datasets/MuhaoGuo/M2oE2TimeSeriesData/Building/weather_train.csv (at revision 82a9aa045e2be6bb2906318d261c59c11fcc647d)
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
site_id: int64
timestamp: string
air_temperature: double
cloud_coverage: double
dew_temperature: double
precip_depth_1_hr: double
sea_level_pressure: double
wind_direction: double
wind_speed: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1405
to
{'building_id': Value('int64'), 'meter': Value('int64'), 'timestamp': Value('string'), 'meter_reading': Value('float64')}
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 1438, 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 8 new columns ({'wind_speed', 'air_temperature', 'site_id', 'wind_direction', 'sea_level_pressure', 'dew_temperature', 'precip_depth_1_hr', 'cloud_coverage'}) and 3 missing columns ({'building_id', 'meter', 'meter_reading'}).
This happened while the csv dataset builder was generating data using
hf://datasets/MuhaoGuo/M2oE2TimeSeriesData/Building/weather_train.csv (at revision 82a9aa045e2be6bb2906318d261c59c11fcc647d)
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.
building_id
int64 | meter
int64 | timestamp
string | meter_reading
float64 |
|---|---|---|---|
0
| 0
|
2016-01-01 00:00:00
| 0
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1
| 0
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2016-01-01 00:00:00
| 0
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2
| 0
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2016-01-01 00:00:00
| 0
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3
| 0
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2016-01-01 00:00:00
| 0
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4
| 0
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2016-01-01 00:00:00
| 0
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5
| 0
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2016-01-01 00:00:00
| 0
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6
| 0
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2016-01-01 00:00:00
| 0
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7
| 0
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2016-01-01 00:00:00
| 0
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8
| 0
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2016-01-01 00:00:00
| 0
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9
| 0
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2016-01-01 00:00:00
| 0
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10
| 0
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2016-01-01 00:00:00
| 0
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11
| 0
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2016-01-01 00:00:00
| 0
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12
| 0
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2016-01-01 00:00:00
| 0
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13
| 0
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2016-01-01 00:00:00
| 0
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14
| 0
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2016-01-01 00:00:00
| 0
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15
| 0
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2016-01-01 00:00:00
| 0
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16
| 0
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2016-01-01 00:00:00
| 0
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17
| 0
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2016-01-01 00:00:00
| 0
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18
| 0
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2016-01-01 00:00:00
| 0
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19
| 0
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2016-01-01 00:00:00
| 0
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20
| 0
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2016-01-01 00:00:00
| 0
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21
| 0
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2016-01-01 00:00:00
| 0
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22
| 0
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2016-01-01 00:00:00
| 0
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23
| 0
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2016-01-01 00:00:00
| 0
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24
| 0
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2016-01-01 00:00:00
| 0
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25
| 0
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2016-01-01 00:00:00
| 0
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26
| 0
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2016-01-01 00:00:00
| 0
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27
| 0
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2016-01-01 00:00:00
| 0
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28
| 0
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2016-01-01 00:00:00
| 0
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30
| 0
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2016-01-01 00:00:00
| 0
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31
| 0
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2016-01-01 00:00:00
| 0
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32
| 0
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2016-01-01 00:00:00
| 0
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33
| 0
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2016-01-01 00:00:00
| 0
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34
| 0
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2016-01-01 00:00:00
| 0
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35
| 0
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2016-01-01 00:00:00
| 0
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36
| 0
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2016-01-01 00:00:00
| 0
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37
| 0
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2016-01-01 00:00:00
| 0
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38
| 0
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2016-01-01 00:00:00
| 0
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39
| 0
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2016-01-01 00:00:00
| 0
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40
| 0
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2016-01-01 00:00:00
| 0
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41
| 0
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2016-01-01 00:00:00
| 0
|
42
| 0
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2016-01-01 00:00:00
| 0
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43
| 0
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2016-01-01 00:00:00
| 0
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44
| 0
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2016-01-01 00:00:00
| 0
|
45
| 0
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2016-01-01 00:00:00
| 0
|
46
| 0
|
2016-01-01 00:00:00
| 53.2397
|
47
| 0
|
2016-01-01 00:00:00
| 0
|
49
| 0
|
2016-01-01 00:00:00
| 0
|
50
| 0
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2016-01-01 00:00:00
| 0
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51
| 0
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2016-01-01 00:00:00
| 0
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52
| 0
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2016-01-01 00:00:00
| 0
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53
| 0
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2016-01-01 00:00:00
| 0
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54
| 0
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2016-01-01 00:00:00
| 0
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55
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2016-01-01 00:00:00
| 0
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56
| 0
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2016-01-01 00:00:00
| 0
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57
| 0
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2016-01-01 00:00:00
| 0
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58
| 0
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2016-01-01 00:00:00
| 0
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59
| 0
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2016-01-01 00:00:00
| 0
|
60
| 0
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2016-01-01 00:00:00
| 0
|
61
| 0
|
2016-01-01 00:00:00
| 0
|
62
| 0
|
2016-01-01 00:00:00
| 0
|
63
| 0
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2016-01-01 00:00:00
| 0
|
64
| 0
|
2016-01-01 00:00:00
| 0
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65
| 0
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2016-01-01 00:00:00
| 0
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66
| 0
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2016-01-01 00:00:00
| 0
|
67
| 0
|
2016-01-01 00:00:00
| 0
|
68
| 0
|
2016-01-01 00:00:00
| 0
|
69
| 0
|
2016-01-01 00:00:00
| 0
|
70
| 0
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2016-01-01 00:00:00
| 0
|
71
| 0
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2016-01-01 00:00:00
| 0
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72
| 0
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2016-01-01 00:00:00
| 0
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73
| 0
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2016-01-01 00:00:00
| 0
|
74
| 0
|
2016-01-01 00:00:00
| 43.0013
|
75
| 0
|
2016-01-01 00:00:00
| 0
|
76
| 0
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2016-01-01 00:00:00
| 0
|
77
| 0
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2016-01-01 00:00:00
| 0
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78
| 0
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2016-01-01 00:00:00
| 0
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79
| 0
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2016-01-01 00:00:00
| 0
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80
| 0
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2016-01-01 00:00:00
| 0
|
81
| 0
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2016-01-01 00:00:00
| 0
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82
| 0
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2016-01-01 00:00:00
| 0
|
83
| 0
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2016-01-01 00:00:00
| 0
|
84
| 0
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2016-01-01 00:00:00
| 0
|
85
| 0
|
2016-01-01 00:00:00
| 0
|
86
| 0
|
2016-01-01 00:00:00
| 0
|
87
| 0
|
2016-01-01 00:00:00
| 0
|
88
| 0
|
2016-01-01 00:00:00
| 0
|
89
| 0
|
2016-01-01 00:00:00
| 0
|
90
| 0
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2016-01-01 00:00:00
| 0
|
91
| 0
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2016-01-01 00:00:00
| 0
|
92
| 0
|
2016-01-01 00:00:00
| 0
|
93
| 0
|
2016-01-01 00:00:00
| 52.4206
|
94
| 0
|
2016-01-01 00:00:00
| 0
|
95
| 0
|
2016-01-01 00:00:00
| 0
|
96
| 0
|
2016-01-01 00:00:00
| 0
|
97
| 0
|
2016-01-01 00:00:00
| 0
|
98
| 0
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2016-01-01 00:00:00
| 0
|
99
| 0
|
2016-01-01 00:00:00
| 0
|
100
| 0
|
2016-01-01 00:00:00
| 0
|
101
| 0
|
2016-01-01 00:00:00
| 0
|
End of preview.
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