Country
stringclasses 7
values | CustomerID
float64 12.4k
18.3k
β | UnitPrice
float64 0
90.4
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stringdate 2010-12-01 08:26:43
2011-12-09 12:50:00
| Quantity
int64 -256
81k
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stringlengths 1
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United Kingdom
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2011-09-27 22:09:34
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United Kingdom
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2011-05-07 13:06:42
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23242
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United Kingdom
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2011-05-07 05:48:16
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21901
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United Kingdom
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2011-03-02 21:12:11
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22567
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United Kingdom
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2011-02-22 01:51:04
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21026
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United Kingdom
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2011-10-17 20:23:59
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22644
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United Kingdom
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2011-10-31 23:57:41
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23173
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United Kingdom
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2011-05-02 17:08:27
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United Kingdom
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2011-08-19 11:12:52
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United Kingdom
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2011-01-16 01:16:38
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85099B
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United Kingdom
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2010-12-09 07:02:21
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United Kingdom
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2011-04-26 05:13:27
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United Kingdom
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2010-12-25 16:16:02
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United Kingdom
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2011-12-04 03:19:14
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United Kingdom
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2011-05-09 12:09:40
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United Kingdom
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2011-06-04 11:56:30
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United Kingdom
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2011-02-06 09:44:30
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France
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2011-10-23 21:19:52
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22585
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United Kingdom
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2010-12-12 09:12:07
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United Kingdom
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2011-08-21 09:52:01
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2011-12-08 18:59:28
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United Kingdom
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2011-07-02 22:34:37
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United Kingdom
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2011-07-14 03:31:24
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United Kingdom
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2011-12-08 14:29:59
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United Kingdom
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2011-12-04 12:27:36
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France
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2011-01-03 08:59:55
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85185B
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2011-12-06 16:01:49
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United Kingdom
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2011-01-30 21:57:48
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United Kingdom
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2011-06-19 17:44:39
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85099B
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2011-10-12 13:22:17
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21907
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2011-11-11 01:36:54
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France
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2011-05-06 13:06:43
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Spain
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2011-12-09 12:28:54
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21931
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United Kingdom
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2011-03-02 02:24:00
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21215
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United Kingdom
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2011-01-07 15:55:58
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United Kingdom
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2011-01-02 14:33:46
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United Kingdom
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2011-06-23 11:51:51
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United Kingdom
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2011-11-01 22:27:50
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Germany
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2011-10-20 10:19:13
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21876
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2011-03-14 15:54:04
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United Kingdom
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2011-11-27 18:40:26
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22476
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United Kingdom
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2011-09-21 11:59:39
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United Kingdom
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2011-03-17 07:08:57
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United Kingdom
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2011-11-25 19:37:25
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2011-11-12 14:18:18
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United Kingdom
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2011-05-31 13:54:51
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85049G
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United Kingdom
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2011-06-14 09:46:16
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United Kingdom
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2011-11-22 15:50:58
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United Kingdom
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2011-03-07 15:29:04
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20718
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United Kingdom
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2011-01-27 04:01:18
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47591B
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2011-08-18 00:28:09
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United Kingdom
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2011-06-09 07:31:59
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22666
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France
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2011-04-24 08:22:38
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84581
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United Kingdom
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2011-12-06 00:03:42
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United Kingdom
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2011-08-23 13:55:14
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United Kingdom
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2011-10-09 22:12:52
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United Kingdom
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2011-05-17 09:20:46
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United Kingdom
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2010-12-18 12:47:28
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23240
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United Kingdom
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2010-12-03 21:14:30
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United Kingdom
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2011-11-24 03:20:12
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22755
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United Kingdom
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2011-05-25 15:47:50
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21394
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Germany
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2011-08-02 04:47:40
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22661
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United Kingdom
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2011-01-27 00:11:14
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22364
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United Kingdom
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2011-07-28 08:23:43
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84692
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United Kingdom
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2011-03-17 13:19:58
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84992
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United Kingdom
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2011-07-13 03:17:48
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22616
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United Kingdom
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2011-11-19 00:29:40
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22196
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United Kingdom
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2010-12-09 06:38:57
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48187
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United Kingdom
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2011-03-24 06:09:05
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21411
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United Kingdom
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2011-09-10 22:33:00
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20967
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United Kingdom
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2010-12-05 18:13:40
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22382
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United Kingdom
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2011-10-18 19:27:46
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United Kingdom
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2010-12-07 00:22:23
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United Kingdom
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2011-06-30 08:13:39
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United Kingdom
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2011-02-11 04:55:47
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21446
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United Kingdom
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2011-06-12 19:48:18
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20914
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United Kingdom
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2011-12-09 11:28:16
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23480
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United Kingdom
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2011-11-01 20:17:50
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21232
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United Kingdom
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2011-06-22 08:02:59
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20735
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United Kingdom
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2011-02-04 17:57:13
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United Kingdom
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2011-02-16 23:23:06
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90024B
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2010-12-19 16:20:10
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United Kingdom
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2011-10-13 18:05:22
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20713
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United Kingdom
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2011-11-21 08:26:48
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23245
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United Kingdom
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2011-10-24 19:26:14
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POST
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United Kingdom
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2011-12-01 06:09:05
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23127
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United Kingdom
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2011-01-31 18:34:57
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22835
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United Kingdom
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2011-05-29 19:20:18
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United Kingdom
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2011-05-29 09:01:06
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22588
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United Kingdom
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2011-07-15 20:31:15
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United Kingdom
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2011-11-27 06:35:00
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22169
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United Kingdom
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2011-11-07 08:35:30
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21533
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United Kingdom
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2011-12-09 06:20:18
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United Kingdom
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2011-08-13 23:08:48
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22617
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United Kingdom
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2011-11-10 00:36:26
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22668
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United Kingdom
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2011-02-02 08:37:26
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23188
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United Kingdom
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2011-06-24 19:02:18
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DOT
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United Kingdom
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2011-03-17 14:04:52
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71477
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United Kingdom
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2011-11-25 12:27:57
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23217
|
Synthetic Data Generation Demo β UK Retail Dataset
Welcome to this synthetic data generation demo repository by Syncora.ai. This project showcases how to generate synthetic data using real-world tabular structures, demonstrated on a UK retail dataset with columns such as:
- Country
- CustomerID
- UnitPrice
- InvoiceDate
- Quantity
- StockCode
This dataset is designed for dataset for LLM training and AI development, enabling developers to work with privacy-safe, high-quality synthetic data for modeling, experimentation, and deployment.
β Why Synthetic Data Generation?
Synthetic data empowers organizations to:
- Preserve privacy while maintaining utility β create realistic datasets without exposing sensitive information.
- Accelerate AI & LLM development β augment limited datasets, reduce bias, and improve model accuracy.
- Enable safe collaboration β share datasets across teams without compliance risks.
By using this dataset for LLM training, developers can focus on training, fine-tuning, and testing AI models without privacy concerns.
π¦ What Youβll Find in This Repo
Synthetic Retail Dataset β Ready-to-use dataset for LLM training and modeling.
Download DatasetJupyter Notebook β Explore, visualize, and implement data generation workflows.
Open Notebook
π About the UK Retail Dataset
This synthetic retail dataset mimics transactional data commonly seen in business domains:
| Column Name | Description |
|---|---|
| Country | Country of the transaction |
| CustomerID | Unique customer identifier |
| UnitPrice | Price per item |
| InvoiceDate | Date of invoice |
| Quantity | Number of items purchased |
| StockCode | Product stock code |
These fields make it ideal for synthetic data generation workflows and LLM training focused on retail analytics.
π Why Syncora.ai?
Built and maintained by Syncora.ai, a platform designed for synthetic data generation at scale.
- High-fidelity synthetic data that mirrors real-world behavior.
- Pre-built datasets for LLM training for faster prototyping and deployment.
- Compliant, scalable data generator for industries like retail, healthcare, finance, and beyond.
π Generate Your Own Synthetic Dataset
Want to create a custom dataset? Try our data generator:
β Generate Synthetic Data Now
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