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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)
Error code:   UnexpectedError

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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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