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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 ({'latitude', 'longitude'}) and 2 missing columns ({'fridge_temperature', 'temp_condition'}).

This happened while the csv dataset builder was generating data using

hf://datasets/SilverDragon9/UNSW_TON-IoT_Train_Test_IoT_Datasets/Train_Test_IoT_GPS_Tracker.csv (at revision 9b68d1eb9527dd5df4de32ef6d42642aac52a4d8)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              date: string
              time: string
              latitude: double
              longitude: double
              label: int64
              type: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 930
              to
              {'date': Value(dtype='string', id=None), 'time': Value(dtype='string', id=None), 'fridge_temperature': Value(dtype='float64', id=None), 'temp_condition': Value(dtype='string', id=None), 'label': Value(dtype='int64', id=None), 'type': Value(dtype='string', 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 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 ({'latitude', 'longitude'}) and 2 missing columns ({'fridge_temperature', 'temp_condition'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/SilverDragon9/UNSW_TON-IoT_Train_Test_IoT_Datasets/Train_Test_IoT_GPS_Tracker.csv (at revision 9b68d1eb9527dd5df4de32ef6d42642aac52a4d8)
              
              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.

date
string
time
string
fridge_temperature
float64
temp_condition
string
label
int64
type
string
25-Apr-19
19:19:40
9
high
1
ddos
25-Apr-19
19:19:40
9.25
high
1
ddos
25-Apr-19
19:19:45
12.65
high
1
ddos
25-Apr-19
19:19:45
4.65
low
1
ddos
25-Apr-19
19:19:55
12.65
high
1
ddos
25-Apr-19
19:19:55
10.85
high
1
ddos
25-Apr-19
19:20:00
11.55
high
1
ddos
25-Apr-19
19:20:00
13.4
high
1
ddos
25-Apr-19
19:20:05
1.75
low
1
ddos
25-Apr-19
19:20:05
11.85
high
1
ddos
25-Apr-19
19:20:10
1
low
1
ddos
25-Apr-19
19:20:10
11.4
high
1
ddos
25-Apr-19
19:20:15
3
low
1
ddos
25-Apr-19
19:20:15
10.25
high
1
ddos
25-Apr-19
19:20:20
13.4
high
1
ddos
25-Apr-19
19:20:20
9.1
high
1
ddos
25-Apr-19
19:20:25
6.95
high
1
ddos
25-Apr-19
19:20:25
11.85
high
1
ddos
25-Apr-19
19:20:30
13.85
high
1
ddos
25-Apr-19
19:20:30
8.85
high
1
ddos
25-Apr-19
19:20:35
9.65
high
1
ddos
25-Apr-19
19:20:35
5
low
1
ddos
25-Apr-19
19:20:40
10.55
high
1
ddos
25-Apr-19
19:20:40
9.55
high
1
ddos
25-Apr-19
19:20:45
12.95
high
1
ddos
25-Apr-19
19:20:45
5.25
low
1
ddos
25-Apr-19
19:20:55
11.25
high
1
ddos
25-Apr-19
19:20:55
7.85
high
1
ddos
25-Apr-19
19:21:00
10.8
high
1
ddos
25-Apr-19
19:21:00
5.6
low
1
ddos
25-Apr-19
19:21:10
7.8
high
1
ddos
25-Apr-19
19:21:10
12.7
high
1
ddos
25-Apr-19
19:21:15
5
low
1
ddos
25-Apr-19
19:21:15
6.25
high
1
ddos
25-Apr-19
19:21:25
10.65
high
1
ddos
25-Apr-19
19:21:25
5.1
low
1
ddos
25-Apr-19
19:21:30
6.85
high
1
ddos
25-Apr-19
19:21:30
9.55
high
1
ddos
25-Apr-19
19:21:40
12.5
high
1
ddos
25-Apr-19
19:21:40
12.7
high
1
ddos
25-Apr-19
19:21:45
11.25
high
1
ddos
25-Apr-19
19:21:45
7.55
high
1
ddos
25-Apr-19
19:21:55
5
low
1
ddos
25-Apr-19
19:21:55
4.15
low
1
ddos
25-Apr-19
19:22:00
13.4
high
1
ddos
25-Apr-19
19:22:00
7.95
high
1
ddos
25-Apr-19
19:22:05
5.1
low
1
ddos
25-Apr-19
19:22:05
4.3
low
1
ddos
25-Apr-19
19:22:10
6.95
high
1
ddos
25-Apr-19
19:22:10
3
low
1
ddos
25-Apr-19
19:22:15
13.1
high
1
ddos
25-Apr-19
19:22:15
5.95
low
1
ddos
25-Apr-19
19:22:25
5.35
low
1
ddos
25-Apr-19
19:22:25
4.95
low
1
ddos
25-Apr-19
19:22:30
12.7
high
1
ddos
25-Apr-19
19:22:30
9.7
high
1
ddos
25-Apr-19
19:22:35
12.85
high
1
ddos
25-Apr-19
19:22:35
8
high
1
ddos
25-Apr-19
19:22:40
3.2
low
1
ddos
25-Apr-19
19:22:40
3.2
low
1
ddos
25-Apr-19
19:22:45
10.7
high
1
ddos
25-Apr-19
19:22:45
7.4
high
1
ddos
25-Apr-19
19:22:55
5.1
low
1
ddos
25-Apr-19
19:22:55
5.35
low
1
ddos
25-Apr-19
19:23:00
8.95
high
1
ddos
25-Apr-19
19:23:00
10.4
high
1
ddos
25-Apr-19
19:23:05
6.1
high
1
ddos
25-Apr-19
19:23:05
10
high
1
ddos
25-Apr-19
19:23:10
2.2
low
1
ddos
25-Apr-19
19:23:10
10.4
high
1
ddos
25-Apr-19
19:23:15
2
low
1
ddos
25-Apr-19
19:23:15
2.35
low
1
ddos
25-Apr-19
19:23:25
10.1
high
1
ddos
25-Apr-19
19:23:25
11.55
high
1
ddos
25-Apr-19
19:23:30
5
low
1
ddos
25-Apr-19
19:23:30
8.25
high
1
ddos
25-Apr-19
19:23:35
5.75
low
1
ddos
25-Apr-19
19:23:35
5.9
low
1
ddos
25-Apr-19
19:23:45
5.2
low
1
ddos
25-Apr-19
19:23:45
9.85
high
1
ddos
25-Apr-19
19:23:55
11.1
high
1
ddos
25-Apr-19
19:23:55
7.8
high
1
ddos
25-Apr-19
19:24:00
1
low
1
ddos
25-Apr-19
19:24:00
9.95
high
1
ddos
25-Apr-19
19:24:05
5.1
low
1
ddos
25-Apr-19
19:24:05
12.7
high
1
ddos
25-Apr-19
19:24:10
7.85
high
1
ddos
25-Apr-19
19:24:10
6.4
high
1
ddos
25-Apr-19
19:24:15
6.05
high
1
ddos
25-Apr-19
19:24:15
5.8
low
1
ddos
25-Apr-19
19:24:25
5.55
low
1
ddos
25-Apr-19
19:24:25
8.85
high
1
ddos
25-Apr-19
19:24:30
12
high
1
ddos
25-Apr-19
19:24:30
3.05
low
1
ddos
25-Apr-19
19:24:35
6.35
high
1
ddos
25-Apr-19
19:24:35
8.7
high
1
ddos
25-Apr-19
19:24:40
4.95
low
1
ddos
25-Apr-19
19:24:40
7.55
high
1
ddos
25-Apr-19
19:24:45
3.9
low
1
ddos
25-Apr-19
19:24:45
8.5
high
1
ddos
End of preview.
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