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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 6 new columns ({'policy_installation_rate', 'session_modification_rate', 'pfcp_message_rate', 'session_establishment_rate', 'session_success_rate', 'n4_message_rate'}) and 9 missing columns ({'registration_success_rate', 'session_setup_rate', 'ngap_success_rate', 'n1n2_message_rate', 'nas_security_success_rate', 'registration_rate', 'http_connectivity', 'authentication_success_rate', 'slice_selection_success_rate'}).

This happened while the csv dataset builder was generating data using

hf://datasets/fenar/5gcore-prod/smf_metrics.csv (at revision 6896a633107459cec05a211846482861087a5f03)

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
              cpu_utilization: double
              memory_utilization: double
              session_establishment_rate: double
              n4_message_rate: double
              session_modification_rate: double
              policy_installation_rate: double
              pfcp_message_rate: double
              session_success_rate: double
              timestamp: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1508
              to
              {'http_connectivity': Value(dtype='float64', id=None), 'cpu_utilization': Value(dtype='float64', id=None), 'memory_utilization': Value(dtype='float64', id=None), 'registration_rate': Value(dtype='float64', id=None), 'session_setup_rate': Value(dtype='float64', id=None), 'authentication_success_rate': Value(dtype='float64', id=None), 'n1n2_message_rate': Value(dtype='float64', id=None), 'registration_success_rate': Value(dtype='float64', id=None), 'slice_selection_success_rate': Value(dtype='float64', id=None), 'nas_security_success_rate': Value(dtype='float64', id=None), 'ngap_success_rate': Value(dtype='float64', id=None), 'timestamp': 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 1420, 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 1052, 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 6 new columns ({'policy_installation_rate', 'session_modification_rate', 'pfcp_message_rate', 'session_establishment_rate', 'session_success_rate', 'n4_message_rate'}) and 9 missing columns ({'registration_success_rate', 'session_setup_rate', 'ngap_success_rate', 'n1n2_message_rate', 'nas_security_success_rate', 'registration_rate', 'http_connectivity', 'authentication_success_rate', 'slice_selection_success_rate'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/fenar/5gcore-prod/smf_metrics.csv (at revision 6896a633107459cec05a211846482861087a5f03)
              
              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.

http_connectivity
float64
cpu_utilization
float64
memory_utilization
float64
registration_rate
float64
session_setup_rate
float64
authentication_success_rate
float64
n1n2_message_rate
float64
registration_success_rate
float64
slice_selection_success_rate
float64
nas_security_success_rate
float64
ngap_success_rate
float64
timestamp
string
1.03839
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2025-01-16 12:01:55.775630
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2025-01-16 12:02:55.775630
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2025-01-16 12:03:55.775630
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2025-01-16 12:04:55.775630
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2025-01-16 12:06:55.775630
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2025-01-16 12:08:55.775630
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2025-01-16 12:09:55.775630
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2025-01-16 12:12:55.775630
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2025-01-16 12:13:55.775630
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2025-01-16 12:14:55.775630
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2025-01-16 12:15:55.775630
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2025-01-16 12:17:55.775630
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2025-01-16 12:18:55.775630
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2025-01-16 12:20:55.775630
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2025-01-16 12:21:55.775630
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2025-01-16 12:57:55.775630
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2025-01-16 13:00:55.775630
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2025-01-16 13:04:55.775630
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2025-01-16 13:05:55.775630
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2025-01-16 13:06:55.775630
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2025-01-16 13:07:55.775630
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2025-01-16 13:08:55.775630
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2025-01-16 13:09:55.775630
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2025-01-16 13:10:55.775630
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2025-01-16 13:11:55.775630
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2025-01-16 13:12:55.775630
1.004369
30.623073
42.521455
106.642005
86.928575
92.900931
201.71019
97.01077
99.504381
90.542094
107.096295
2025-01-16 13:13:55.775630
0.983256
28.905795
42.051408
94.457159
80.071774
87.469359
207.004266
99.907014
99.394331
93.542264
99.132689
2025-01-16 13:14:55.775630
0.931341
29.396331
40.417888
89.460197
86.477583
95.540659
211.509278
93.817077
107.395196
96.692959
97.155944
2025-01-16 13:15:55.775630
1.001722
29.022034
40.939158
103.96239
81.769745
104.083287
188.223996
97.195536
99.774416
95.732208
102.340142
2025-01-16 13:16:55.775630
0.904262
29.356435
39.785211
102.408939
72.434652
101.67013
210.727155
101.803616
95.78806
103.427004
100.001295
2025-01-16 13:17:55.775630
0.926831
26.478275
41.89798
99.456721
80.970177
98.380959
185.640349
92.212162
108.568626
101.507764
107.749081
2025-01-16 13:18:55.775630
0.919094
33.835462
40.925844
100.957578
78.163471
102.928687
197.132267
103.055139
104.794389
107.6723
100.417083
2025-01-16 13:19:55.775630
0.96918
29.99741
37.957548
101.561625
82.138431
91.190242
197.250372
94.485473
85.380373
99.738853
94.108969
2025-01-16 13:20:55.775630
0.971249
32.284301
41.789298
95.656156
82.986998
105.380953
187.871104
102.554962
98.915218
99.303293
100.452434
2025-01-16 13:21:55.775630
1.018938
29.516249
43.116381
97.894817
83.676983
94.365401
198.241732
95.557221
101.354725
97.178348
89.334561
2025-01-16 13:22:55.775630
0.968815
28.653711
41.602105
103.195363
81.941749
91.750263
191.107824
101.77858
96.303543
97.972025
98.157473
2025-01-16 13:23:55.775630
0.968806
30.546701
39.330769
102.701994
81.310028
89.364593
216.524604
99.286977
100.451342
99.909725
99.737126
2025-01-16 13:24:55.775630
0.961898
29.455331
42.260716
107.682512
87.041311
104.04311
225.340777
91.741603
94.306641
93.600662
100.056443
2025-01-16 13:25:55.775630
0.988352
30.678057
40.344102
101.211803
80.892533
88.759298
208.876261
98.976897
96.142824
86.825545
94.677374
2025-01-16 13:26:55.775630
0.970968
32.481147
41.815007
105.32175
83.6647
98.34444
203.368035
91.138385
93.281285
94.626361
100.990706
2025-01-16 13:27:55.775630
0.926871
30.523793
43.385214
104.759608
75.874085
99.299234
187.793876
97.660446
98.980085
94.699569
103.682193
2025-01-16 13:28:55.775630
1.053184
29.571714
39.915928
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78.590601
104.416564
201.642648
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100.898913
97.25707
93.146816
2025-01-16 13:29:55.775630
1.035253
31.870439
40.610673
100.190758
84.878554
99.644215
194.02709
96.110225
106.143482
99.393172
104.603398
2025-01-16 13:30:55.775630
0.982334
30.75826
44.541473
99.02789
75.667014
92.483598
184.826572
103.522123
97.331113
93.560646
102.336427
2025-01-16 13:31:55.775630
0.968819
29.167065
37.437498
99.567785
76.661059
102.663792
203.447189
101.936917
94.253545
96.945891
94.658245
2025-01-16 13:32:55.775630
1.053332
27.066596
41.134571
97.995791
82.644492
96.685026
205.551441
102.422502
87.94242
98.465747
97.90504
2025-01-16 13:33:55.775630
1.001145
31.904052
42.075619
104.984818
80.449385
97.051615
193.566039
95.10958
95.285539
93.358124
96.908714
2025-01-16 13:34:55.775630
1.095237
27.550178
39.696021
100.008625
79.15805
98.077775
203.825901
97.738813
101.613737
98.255332
102.854552
2025-01-16 13:35:55.775630
1.083017
33.509393
39.374342
96.500349
76.929169
102.869289
186.833081
95.845719
94.586862
98.684391
102.771255
2025-01-16 13:36:55.775630
1.044671
30.081811
38.046346
93.081665
76.861557
102.57506
194.903898
96.044363
96.668536
105.255418
103.644696
2025-01-16 13:37:55.775630
1.022527
27.183242
37.673529
95.4405
78.65243
108.895624
218.868726
95.827326
106.797621
100.361876
93.63835
2025-01-16 13:38:55.775630
0.978603
32.635581
40.488733
97.674068
80.71216
103.580186
203.8447
93.450113
91.473065
103.313815
90.936336
2025-01-16 13:39:55.775630
0.995603
30.601571
40.877544
95.509997
78.358057
99.571671
203.708222
102.157326
103.082512
95.191791
99.285098
2025-01-16 13:40:55.775630
End of preview.