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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 1 new columns ({'hlrDelay'}) and 1 missing columns ({'label'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Shashkovich/Telecommunication_SMS_time_series/Vendor A/TS_15min_hlrDelay.csv (at revision 682322226da03c6505bd8e41448f1898d8131372)
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
Event time: string
hlrDelay: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 499
to
{'Event time': Value(dtype='string', id=None), 'label': Value(dtype='int64', 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 1 new columns ({'hlrDelay'}) and 1 missing columns ({'label'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Shashkovich/Telecommunication_SMS_time_series/Vendor A/TS_15min_hlrDelay.csv (at revision 682322226da03c6505bd8e41448f1898d8131372)
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? Open a discussion for direct support.
Event time
string | label
int64 |
|---|---|
2023-01-01 00:00:00 | 130 |
2023-01-01 00:15:00 | 59 |
2023-01-01 00:30:00 | 0 |
2023-01-01 00:45:00 | 57 |
2023-01-01 01:00:00 | 95 |
2023-01-01 01:15:00 | 0 |
2023-01-01 01:30:00 | 2 |
2023-01-01 01:45:00 | 23 |
2023-01-01 02:00:00 | 18 |
2023-01-01 02:15:00 | 22 |
2023-01-01 02:30:00 | 20 |
2023-01-01 02:45:00 | 84 |
2023-01-01 03:00:00 | 12 |
2023-01-01 03:15:00 | 13 |
2023-01-01 03:30:00 | 22 |
2023-01-01 03:45:00 | 36 |
2023-01-01 04:00:00 | 18 |
2023-01-01 04:15:00 | 38 |
2023-01-01 04:30:00 | 16 |
2023-01-01 04:45:00 | 4 |
2023-01-01 05:00:00 | 21 |
2023-01-01 05:15:00 | 16 |
2023-01-01 05:30:00 | 15 |
2023-01-01 05:45:00 | 16 |
2023-01-01 06:00:00 | 128 |
2023-01-01 06:15:00 | 138 |
2023-01-01 06:30:00 | 129 |
2023-01-01 06:45:00 | 78 |
2023-01-01 07:00:00 | 74 |
2023-01-01 07:15:00 | 130 |
2023-01-01 07:30:00 | 148 |
2023-01-01 07:45:00 | 101 |
2023-01-01 08:00:00 | 116 |
2023-01-01 08:15:00 | 97 |
2023-01-01 08:30:00 | 103 |
2023-01-01 08:45:00 | 149 |
2023-01-01 09:00:00 | 2,285 |
2023-01-01 09:15:00 | 77 |
2023-01-01 09:30:00 | 80 |
2023-01-01 09:45:00 | 118 |
2023-01-01 10:00:00 | 118 |
2023-01-01 10:15:00 | 101 |
2023-01-01 10:30:00 | 132 |
2023-01-01 10:45:00 | 92 |
2023-01-01 11:00:00 | 127 |
2023-01-01 11:15:00 | 95 |
2023-01-01 11:30:00 | 121 |
2023-01-01 11:45:00 | 98 |
2023-01-01 12:00:00 | 70 |
2023-01-01 12:15:00 | 82 |
2023-01-01 12:30:00 | 78 |
2023-01-01 12:45:00 | 94 |
2023-01-01 13:00:00 | 109 |
2023-01-01 13:15:00 | 91 |
2023-01-01 13:30:00 | 57 |
2023-01-01 13:45:00 | 66 |
2023-01-01 14:00:00 | 77 |
2023-01-01 14:15:00 | 77 |
2023-01-01 14:30:00 | 119 |
2023-01-01 14:45:00 | 89 |
2023-01-01 15:00:00 | 58 |
2023-01-01 15:15:00 | 60 |
2023-01-01 15:30:00 | 67 |
2023-01-01 15:45:00 | 85 |
2023-01-01 16:00:00 | 120 |
2023-01-01 16:15:00 | 97 |
2023-01-01 16:30:00 | 83 |
2023-01-01 16:45:00 | 74 |
2023-01-01 17:00:00 | 88 |
2023-01-01 17:15:00 | 120 |
2023-01-01 17:30:00 | 97 |
2023-01-01 17:45:00 | 85 |
2023-01-01 18:00:00 | 86 |
2023-01-01 18:15:00 | 87 |
2023-01-01 18:30:00 | 67 |
2023-01-01 18:45:00 | 92 |
2023-01-01 19:00:00 | 104 |
2023-01-01 19:15:00 | 62 |
2023-01-01 19:30:00 | 51 |
2023-01-01 19:45:00 | 39 |
2023-01-01 20:00:00 | 59 |
2023-01-01 20:15:00 | 57 |
2023-01-01 20:30:00 | 74 |
2023-01-01 20:45:00 | 63 |
2023-01-01 21:00:00 | 49 |
2023-01-01 21:15:00 | 34 |
2023-01-01 21:30:00 | 38 |
2023-01-01 21:45:00 | 79 |
2023-01-01 22:00:00 | 108 |
2023-01-01 22:15:00 | 19 |
2023-01-01 22:30:00 | 9 |
2023-01-01 22:45:00 | 71 |
2023-01-01 23:00:00 | 38 |
2023-01-01 23:15:00 | 6 |
2023-01-01 23:30:00 | 2 |
2023-01-01 23:45:00 | 6 |
2023-01-02 00:00:00 | 19 |
2023-01-02 00:15:00 | 24 |
2023-01-02 00:30:00 | 8 |
2023-01-02 00:45:00 | 21 |
End of preview.
SMS Time series data for traffic and fraud forecasting
This dataset contains various time series from vendors.
Vendor A: 01.03.23-14.08.23
- TS_*_all - Count of all SMS
Vendor A: January
- TS_*_fraud - Count of fraud
- TS_*_all - Count of all SMS
- TS_*_hlrDelay - Mean values of hlr delay
Vendor B: January 1-8
- 1-8_TS_*_fraud - Count of fraud
- 1-8_TS_*_all - Count of all SMS
- 1-8_TS_*_hlrDelay - Mean values of hlr delay
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